library(dplyr)##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unionlibrary(data.table)##
## Attaching package: 'data.table'## The following objects are masked from 'package:dplyr':
##
## between, first, lastlibrary(Metrics)## Warning: package 'Metrics' was built under R version 4.0.5library(e1071)## Warning: package 'e1071' was built under R version 4.0.5library(xgboost)## Warning: package 'xgboost' was built under R version 4.0.5##
## Attaching package: 'xgboost'## The following object is masked from 'package:dplyr':
##
## slicelibrary(fastDummies)## Warning: package 'fastDummies' was built under R version 4.0.5library(vtreat)## Warning: package 'vtreat' was built under R version 4.0.5## Loading required package: wrapr## Warning: package 'wrapr' was built under R version 4.0.5##
## Attaching package: 'wrapr'## The following object is masked from 'package:data.table':
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## :=## The following object is masked from 'package:dplyr':
##
## coalescelibrary(magrittr)
library(rminer)## Warning: package 'rminer' was built under R version 4.0.5##
## Attaching package: 'rminer'## The following object is masked from 'package:vtreat':
##
## fit讀取資料
data = read.csv('./dataset/combined.csv')
data <- data[,-1]
str(data)## 'data.frame': 9879 obs. of 16 variables:
## $ blueWardsPlaced : int 13 0 0 28 58 -18 -39 1 1 -3 ...
## $ blueWardsDestroyed : int -4 0 -3 -1 2 -5 2 2 1 -1 ...
## $ blueFirstBlood : int 1 -1 -1 -1 -1 -1 1 -1 -1 1 ...
## $ blueKills : int 3 0 -4 -1 0 2 1 -8 0 -1 ...
## $ blueDeaths : int -3 0 4 1 0 -2 -1 8 0 1 ...
## $ blueAssists : int 3 3 -10 -5 -1 4 -2 -8 3 1 ...
## $ blueEliteMonsters : int 0 -2 1 1 -1 1 1 -1 -2 1 ...
## $ blueDragons : int 0 -1 1 0 -1 1 1 -1 -1 1 ...
## $ blueHeralds : int 0 -1 0 1 0 0 0 0 -1 0 ...
## $ blueTowersDestroyed : int 0 -1 0 0 0 0 0 0 0 0 ...
## $ blueAvgLevel : num -0.2 -0.2 -0.4 0 0 ...
## $ blueTotalMinionsKilled : int -2 -66 -17 -34 -15 4 61 52 -51 -27 ...
## $ blueTotalJungleMinionsKilled: int -19 -9 18 8 -10 -17 18 -6 8 -4 ...
## $ blueWins : int 0 0 0 0 0 1 1 0 0 1 ...
## $ blueGoldDiff : int 643 -2908 -1172 -1321 -1004 698 2411 -2615 -1979 -1548 ...
## $ blueExperienceDiff : int -8 -1173 -1033 -7 230 101 1563 -800 -771 -1574 ...設定目標欄位為factor型態
data$blueWins <- as.factor(data$blueWins)
data$blueKills <- as.factor(data$blueKills)切割資料為train跟test
set.seed(666)
ind <- sample(2 ,nrow(data), replace = T ,prob=c(0.8,0.2))
train = data[ind==1,]
test = data[ind==2,]
train %>% group_by(train$state) %>% count()test %>% group_by(test$state) %>% count()輸入記錄的比賽資料
competition <- test[1,]
competition<-rbind(competition,
c(-213, -19, -1, -7, 7, -14, 0, -1, 1, -1, 0, -1, 41, 0, -3800, -610),
c(172, 15, 1, -3, 3, -2, 0, 1, -1, 0, 0, -16, 16, 1, -2200, -300),
c(156, 22, 1, -4, 3, -3, 0, -1, 0, 0, -0.2, 6, 7, 1, -800, -1180),
c(-182, -16, 1, 3, -3, -2, -1, -1, 0, 0, 0.2, 8, -5, 0, 1400, 850)
)
competition <- competition[-1,]
write.csv(competition, file="./dataset//competition.csv",row.names = FALSE)執行svm
svm_model = svm(formula = blueWins ~ .,data = train)
summary(svm_model)##
## Call:
## svm(formula = blueWins ~ ., data = train)
##
##
## Parameters:
## SVM-Type: C-classification
## SVM-Kernel: radial
## cost: 1
##
## Number of Support Vectors: 4785
##
## ( 2396 2389 )
##
##
## Number of Classes: 2
##
## Levels:
## 0 1預測
train.pred = predict(svm_model, train)
test.pred = predict(svm_model, test)
competition.pred = predict(svm_model, competition)混淆矩陣： train：0.7316794 test：0.7216444 competition：0.75
train_cf = table(real=train$blueWins, predict=train.pred)
sum(diag(train_cf))/sum(train_cf)## [1] 0.7316794test_cf = table(real=test$blueWins, predict=test.pred)
sum(diag(test_cf))/sum(test_cf)## [1] 0.7216444competition_cf = table(real=competition$blueWins, predict=competition.pred)
sum(diag(competition_cf))/sum(competition_cf)## [1] 0.75XGBOOST： train跟test轉為dummy_matrix
trainy <- train$blueWins %>% as.numeric()-1
testy <- test$blueWins %>% as.numeric()-1
train_dummy <- dummy_cols(train[,-14],remove_first_dummy = T,remove_selected_columns=T) %>% as.matrix()
test_dummy <- dummy_cols(test[-14],remove_first_dummy = T,remove_selected_columns=T) %>% as.matrix()
train_Matrix <- xgb.DMatrix(data=train_dummy,label=trainy,missing = 0)
test_Matrix <- xgb.DMatrix(data=test_dummy,label=testy,missing = 0)記錄的比賽資料轉為dummy_matrix
competitiony <- competition$blueWins %>% as.numeric()-1
competition_dummy <- dummy_cols(competition[,-14],remove_first_dummy = T,remove_selected_columns=T) %>% as.matrix()
competition_Matrix <- xgb.DMatrix(data=competition_dummy,label=competitiony,missing = 0)進行XGBOOST調參
xgboost_set <- expand.grid(max_depth =c(5, 20),
eta =c(0.3, 0.8, 1),
subsample = c(.6, .8, 1),
colsample_bytree = c(.8, 1),
min_child_weight =c(1, 3, 5))
for(i in 1:nrow(xgboost_set)){
params <- list(
max_depth =xgboost_set$max_depth[i],
eta =xgboost_set$eta[i],
subsample =xgboost_set$subsample[i],
colsample_bytree =xgboost_set$colsample_bytree[i],
min_child_weight =xgboost_set$min_child_weight[i])
bstDMatrix <- xgb.cv(
data = train_Matrix,
params = params,
nfold = 5,
nrounds = 500,
objective = "multi:softmax",
eval_metric ="mlogloss",
"num_class" = 2)
xgboost_set$nrounds[i] <- which.min(bstDMatrix$evaluation_log$test_mlogloss_mean)
xgboost_set$mlogloss[i] <- min(bstDMatrix$evaluation_log$test_mlogloss_mean)
}## [1] train-mlogloss:0.616188+0.003292 test-mlogloss:0.622851+0.003318
## [2] train-mlogloss:0.572320+0.004125 test-mlogloss:0.584988+0.005181
## [3] train-mlogloss:0.545032+0.004216 test-mlogloss:0.564646+0.007160
## [4] train-mlogloss:0.526529+0.004373 test-mlogloss:0.551646+0.008728
## [5] train-mlogloss:0.513849+0.004312 test-mlogloss:0.543890+0.010447
## [6] train-mlogloss:0.505063+0.004163 test-mlogloss:0.540220+0.011098
## [7] train-mlogloss:0.497822+0.003824 test-mlogloss:0.539086+0.012755
## [8] train-mlogloss:0.491871+0.003920 test-mlogloss:0.537716+0.013814
## [9] train-mlogloss:0.487187+0.004108 test-mlogloss:0.537031+0.014529
## [10] train-mlogloss:0.482976+0.004404 test-mlogloss:0.537169+0.015587
## [11] train-mlogloss:0.478999+0.004577 test-mlogloss:0.537579+0.016727
## [12] train-mlogloss:0.475603+0.005153 test-mlogloss:0.538306+0.017188
## [13] train-mlogloss:0.472927+0.004264 test-mlogloss:0.538302+0.017490
## [14] train-mlogloss:0.469308+0.004305 test-mlogloss:0.538825+0.017099
## [15] train-mlogloss:0.466104+0.003726 test-mlogloss:0.539405+0.017622
## [16] train-mlogloss:0.463287+0.003787 test-mlogloss:0.540241+0.017944
## [17] train-mlogloss:0.460178+0.003779 test-mlogloss:0.540976+0.017919
## [18] train-mlogloss:0.457175+0.004306 test-mlogloss:0.542040+0.018121
## [19] train-mlogloss:0.453715+0.004157 test-mlogloss:0.542960+0.018067
## [20] train-mlogloss:0.450168+0.003537 test-mlogloss:0.544018+0.018101
## [21] train-mlogloss:0.446684+0.004267 test-mlogloss:0.544647+0.018261
## [22] train-mlogloss:0.443406+0.004237 test-mlogloss:0.546209+0.018357
## [23] train-mlogloss:0.440273+0.004608 test-mlogloss:0.547100+0.018547
## [24] train-mlogloss:0.437347+0.004872 test-mlogloss:0.548578+0.018788
## [25] train-mlogloss:0.433986+0.004953 test-mlogloss:0.549278+0.019064
## [26] train-mlogloss:0.430886+0.005144 test-mlogloss:0.549906+0.019721
## [27] train-mlogloss:0.428112+0.005188 test-mlogloss:0.550149+0.019189
## [28] train-mlogloss:0.425377+0.005262 test-mlogloss:0.550896+0.019132
## [29] train-mlogloss:0.422896+0.005563 test-mlogloss:0.551444+0.019262
## [30] train-mlogloss:0.420503+0.005389 test-mlogloss:0.551857+0.019539
## [31] train-mlogloss:0.416945+0.005510 test-mlogloss:0.552722+0.019995
## [32] train-mlogloss:0.414398+0.005354 test-mlogloss:0.553087+0.019881
## [33] train-mlogloss:0.411401+0.005041 test-mlogloss:0.553745+0.019007
## [34] train-mlogloss:0.408618+0.004795 test-mlogloss:0.554868+0.018667
## [35] train-mlogloss:0.405675+0.004202 test-mlogloss:0.555001+0.018467
## [36] train-mlogloss:0.403093+0.004473 test-mlogloss:0.555189+0.018164
## [37] train-mlogloss:0.400829+0.004636 test-mlogloss:0.555639+0.018614
## [38] train-mlogloss:0.398044+0.004485 test-mlogloss:0.556438+0.018023
## [39] train-mlogloss:0.395144+0.004455 test-mlogloss:0.557075+0.018395
## [40] train-mlogloss:0.392303+0.004927 test-mlogloss:0.558315+0.018714
## [41] train-mlogloss:0.389937+0.004536 test-mlogloss:0.559432+0.018351
## [42] train-mlogloss:0.387860+0.004246 test-mlogloss:0.560161+0.018191
## [43] train-mlogloss:0.385070+0.004583 test-mlogloss:0.561243+0.017789
## [44] train-mlogloss:0.382831+0.004687 test-mlogloss:0.561434+0.017646
## [45] train-mlogloss:0.380333+0.004634 test-mlogloss:0.561956+0.018029
## [46] train-mlogloss:0.377984+0.005064 test-mlogloss:0.562593+0.018316
## [47] train-mlogloss:0.375646+0.005079 test-mlogloss:0.563446+0.018552
## [48] train-mlogloss:0.373129+0.005024 test-mlogloss:0.564868+0.018589
## [49] train-mlogloss:0.370985+0.005020 test-mlogloss:0.565442+0.018421
## [50] train-mlogloss:0.368397+0.004897 test-mlogloss:0.566077+0.018749
## [51] train-mlogloss:0.366014+0.004847 test-mlogloss:0.566139+0.018683
## [52] train-mlogloss:0.363649+0.005048 test-mlogloss:0.566589+0.018964
## [53] train-mlogloss:0.360958+0.005349 test-mlogloss:0.566980+0.019013
## [54] train-mlogloss:0.358419+0.005508 test-mlogloss:0.567418+0.019087
## [55] train-mlogloss:0.355734+0.005320 test-mlogloss:0.567867+0.018725
## [56] train-mlogloss:0.353310+0.005835 test-mlogloss:0.568778+0.019366
## [57] train-mlogloss:0.351266+0.005772 test-mlogloss:0.569330+0.019315
## [58] train-mlogloss:0.349308+0.005494 test-mlogloss:0.570022+0.019446
## [59] train-mlogloss:0.347064+0.005517 test-mlogloss:0.571027+0.019711
## [60] train-mlogloss:0.344803+0.005724 test-mlogloss:0.571570+0.019431
## [61] train-mlogloss:0.342549+0.005708 test-mlogloss:0.572043+0.019879
## [62] train-mlogloss:0.340148+0.005800 test-mlogloss:0.572332+0.019902
## [63] train-mlogloss:0.338005+0.006035 test-mlogloss:0.573261+0.020213
## [64] train-mlogloss:0.335899+0.005934 test-mlogloss:0.573571+0.019980
## [65] train-mlogloss:0.334014+0.006324 test-mlogloss:0.574336+0.019825
## [66] train-mlogloss:0.331751+0.006062 test-mlogloss:0.574876+0.020128
## [67] train-mlogloss:0.329763+0.005906 test-mlogloss:0.575272+0.020345
## [68] train-mlogloss:0.328028+0.006165 test-mlogloss:0.575598+0.020004
## [69] train-mlogloss:0.325858+0.005981 test-mlogloss:0.575766+0.019889
## [70] train-mlogloss:0.323906+0.005950 test-mlogloss:0.576389+0.020510
## [71] train-mlogloss:0.322223+0.005702 test-mlogloss:0.576378+0.020708
## [72] train-mlogloss:0.320846+0.005765 test-mlogloss:0.576861+0.020875
## [73] train-mlogloss:0.319050+0.005746 test-mlogloss:0.577923+0.021271
## [74] train-mlogloss:0.317249+0.005453 test-mlogloss:0.579419+0.021775
## [75] train-mlogloss:0.315447+0.005435 test-mlogloss:0.580054+0.021730
## [76] train-mlogloss:0.313639+0.005359 test-mlogloss:0.580753+0.021940
## [77] train-mlogloss:0.311896+0.005299 test-mlogloss:0.581101+0.021937
## [78] train-mlogloss:0.309799+0.005405 test-mlogloss:0.581786+0.022484
## [79] train-mlogloss:0.308147+0.005274 test-mlogloss:0.582596+0.022454
## [80] train-mlogloss:0.306513+0.005387 test-mlogloss:0.583231+0.022799
## [81] train-mlogloss:0.304568+0.005155 test-mlogloss:0.584117+0.022588
## [82] train-mlogloss:0.302780+0.005144 test-mlogloss:0.585275+0.022597
## [83] train-mlogloss:0.301100+0.004921 test-mlogloss:0.585879+0.022818
## [84] train-mlogloss:0.299457+0.004775 test-mlogloss:0.586895+0.023077
## [85] train-mlogloss:0.297971+0.004845 test-mlogloss:0.587431+0.023086
## [86] train-mlogloss:0.296145+0.005053 test-mlogloss:0.588509+0.023095
## [87] train-mlogloss:0.294346+0.005035 test-mlogloss:0.589218+0.023511
## [88] train-mlogloss:0.292825+0.005255 test-mlogloss:0.590214+0.023652
## [89] train-mlogloss:0.290959+0.005357 test-mlogloss:0.591820+0.023839
## [90] train-mlogloss:0.289186+0.005337 test-mlogloss:0.592164+0.024438
## [91] train-mlogloss:0.287348+0.005157 test-mlogloss:0.593400+0.024687
## [92] train-mlogloss:0.285948+0.004925 test-mlogloss:0.593727+0.024289
## [93] train-mlogloss:0.284156+0.005108 test-mlogloss:0.594281+0.024237
## [94] train-mlogloss:0.281953+0.004824 test-mlogloss:0.594989+0.024800
## [95] train-mlogloss:0.280185+0.004711 test-mlogloss:0.595841+0.024694
## [96] train-mlogloss:0.278505+0.004474 test-mlogloss:0.596043+0.024825
## [97] train-mlogloss:0.276601+0.004361 test-mlogloss:0.596282+0.025336
## [98] train-mlogloss:0.274920+0.004617 test-mlogloss:0.596598+0.024799
## [99] train-mlogloss:0.273377+0.004807 test-mlogloss:0.596977+0.024951
## [100] train-mlogloss:0.271540+0.004751 test-mlogloss:0.597807+0.025344
## [101] train-mlogloss:0.269952+0.004485 test-mlogloss:0.598315+0.025498
## [102] train-mlogloss:0.268159+0.004473 test-mlogloss:0.599317+0.025576
## [103] train-mlogloss:0.266513+0.004437 test-mlogloss:0.599748+0.025764
## [104] train-mlogloss:0.264801+0.004488 test-mlogloss:0.600509+0.026028
## [105] train-mlogloss:0.263252+0.004463 test-mlogloss:0.601103+0.026228
## [106] train-mlogloss:0.261921+0.004205 test-mlogloss:0.602128+0.027021
## [107] train-mlogloss:0.259966+0.004174 test-mlogloss:0.602320+0.026662
## [108] train-mlogloss:0.258583+0.004016 test-mlogloss:0.602680+0.026481
## [109] train-mlogloss:0.256743+0.004062 test-mlogloss:0.602911+0.025789
## [110] train-mlogloss:0.255195+0.003844 test-mlogloss:0.603571+0.025675
## [111] train-mlogloss:0.253621+0.003928 test-mlogloss:0.604384+0.026074
## [112] train-mlogloss:0.252398+0.003975 test-mlogloss:0.605233+0.025889
## [113] train-mlogloss:0.250804+0.003914 test-mlogloss:0.605849+0.026029
## [114] train-mlogloss:0.249429+0.003867 test-mlogloss:0.605875+0.026510
## [115] train-mlogloss:0.247961+0.004063 test-mlogloss:0.606255+0.026633
## [116] train-mlogloss:0.246559+0.004484 test-mlogloss:0.606932+0.026355
## [117] train-mlogloss:0.245003+0.004668 test-mlogloss:0.607530+0.026388
## [118] train-mlogloss:0.243630+0.004900 test-mlogloss:0.608713+0.026827
## [119] train-mlogloss:0.241866+0.004945 test-mlogloss:0.609911+0.026638
## [120] train-mlogloss:0.240507+0.005122 test-mlogloss:0.609957+0.026016
## [121] train-mlogloss:0.239334+0.005262 test-mlogloss:0.610927+0.026643
## [122] train-mlogloss:0.238133+0.005126 test-mlogloss:0.611848+0.026558
## [123] train-mlogloss:0.236737+0.005253 test-mlogloss:0.612610+0.026458
## [124] train-mlogloss:0.235343+0.005138 test-mlogloss:0.613094+0.026507
## [125] train-mlogloss:0.234063+0.004975 test-mlogloss:0.613649+0.025747
## [126] train-mlogloss:0.232647+0.004896 test-mlogloss:0.614701+0.025510
## [127] train-mlogloss:0.231228+0.004962 test-mlogloss:0.615520+0.025704
## [128] train-mlogloss:0.229923+0.004874 test-mlogloss:0.615989+0.025953
## [129] train-mlogloss:0.228541+0.004644 test-mlogloss:0.616882+0.025790
## [130] train-mlogloss:0.226963+0.004873 test-mlogloss:0.617778+0.025852
## [131] train-mlogloss:0.225729+0.004840 test-mlogloss:0.618240+0.026020
## [132] train-mlogloss:0.224262+0.004867 test-mlogloss:0.619165+0.025604
## [133] train-mlogloss:0.222982+0.004772 test-mlogloss:0.620188+0.026225
## [134] train-mlogloss:0.221558+0.004651 test-mlogloss:0.620458+0.025818
## [135] train-mlogloss:0.220306+0.004593 test-mlogloss:0.621010+0.025434
## [136] train-mlogloss:0.218926+0.004647 test-mlogloss:0.621412+0.025908
## [137] train-mlogloss:0.217834+0.004627 test-mlogloss:0.621861+0.026005
## [138] train-mlogloss:0.216692+0.004638 test-mlogloss:0.622147+0.025733
## [139] train-mlogloss:0.215345+0.004678 test-mlogloss:0.622388+0.025547
## [140] train-mlogloss:0.214173+0.004600 test-mlogloss:0.622951+0.025358
## [141] train-mlogloss:0.212972+0.004628 test-mlogloss:0.623833+0.025706
## [142] train-mlogloss:0.211649+0.004581 test-mlogloss:0.624238+0.026264
## [143] train-mlogloss:0.210554+0.004458 test-mlogloss:0.624791+0.026172
## [144] train-mlogloss:0.209449+0.004488 test-mlogloss:0.625610+0.025620
## [145] train-mlogloss:0.208491+0.004671 test-mlogloss:0.625870+0.025434
## [146] train-mlogloss:0.207263+0.004815 test-mlogloss:0.626932+0.025634
## [147] train-mlogloss:0.206242+0.004852 test-mlogloss:0.627418+0.025459
## [148] train-mlogloss:0.204798+0.004788 test-mlogloss:0.627674+0.025326
## [149] train-mlogloss:0.203645+0.004916 test-mlogloss:0.628231+0.025785
## [150] train-mlogloss:0.202552+0.004899 test-mlogloss:0.629145+0.026523
## [151] train-mlogloss:0.201349+0.004668 test-mlogloss:0.629557+0.026196
## [152] train-mlogloss:0.200218+0.004792 test-mlogloss:0.630304+0.026304
## [153] train-mlogloss:0.198991+0.004664 test-mlogloss:0.630570+0.026518
## [154] train-mlogloss:0.197781+0.004608 test-mlogloss:0.631440+0.026189
## [155] train-mlogloss:0.196667+0.004629 test-mlogloss:0.631956+0.026265
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## [157] train-mlogloss:0.194391+0.004637 test-mlogloss:0.632871+0.026449
## [158] train-mlogloss:0.193156+0.004689 test-mlogloss:0.633305+0.026756
## [159] train-mlogloss:0.191913+0.004687 test-mlogloss:0.633827+0.026586
## [160] train-mlogloss:0.190777+0.004597 test-mlogloss:0.634406+0.026597
## [161] train-mlogloss:0.189684+0.004566 test-mlogloss:0.635343+0.026372
## [162] train-mlogloss:0.188700+0.004547 test-mlogloss:0.635652+0.026138
## [163] train-mlogloss:0.187629+0.004758 test-mlogloss:0.636857+0.026617
## [164] train-mlogloss:0.186506+0.004752 test-mlogloss:0.637638+0.026884
## [165] train-mlogloss:0.185528+0.004737 test-mlogloss:0.638641+0.026781
## [166] train-mlogloss:0.184448+0.004631 test-mlogloss:0.638690+0.027185
## [167] train-mlogloss:0.183513+0.004499 test-mlogloss:0.639020+0.027259
## [168] train-mlogloss:0.182431+0.004399 test-mlogloss:0.639172+0.027779
## [169] train-mlogloss:0.181593+0.004399 test-mlogloss:0.639933+0.028097
## [170] train-mlogloss:0.180624+0.004306 test-mlogloss:0.640168+0.028171
## [171] train-mlogloss:0.179783+0.004462 test-mlogloss:0.641009+0.028068
## [172] train-mlogloss:0.178810+0.004454 test-mlogloss:0.641735+0.027618
## [173] train-mlogloss:0.178015+0.004313 test-mlogloss:0.642666+0.027240
## [174] train-mlogloss:0.177052+0.004349 test-mlogloss:0.643279+0.026923
## [175] train-mlogloss:0.176094+0.004377 test-mlogloss:0.643136+0.026808
## [176] train-mlogloss:0.174994+0.004172 test-mlogloss:0.643914+0.026998
## [177] train-mlogloss:0.174073+0.004221 test-mlogloss:0.644811+0.027009
## [178] train-mlogloss:0.173084+0.004250 test-mlogloss:0.645542+0.027747
## [179] train-mlogloss:0.172086+0.004215 test-mlogloss:0.645615+0.027687
## [180] train-mlogloss:0.170977+0.004219 test-mlogloss:0.646631+0.027092
## [181] train-mlogloss:0.170108+0.004270 test-mlogloss:0.647443+0.027332
## [182] train-mlogloss:0.169187+0.004360 test-mlogloss:0.647810+0.027958
## [183] train-mlogloss:0.168277+0.004283 test-mlogloss:0.648160+0.027766
## [184] train-mlogloss:0.167286+0.004198 test-mlogloss:0.649188+0.027702
## [185] train-mlogloss:0.166475+0.004276 test-mlogloss:0.650353+0.028146
## [186] train-mlogloss:0.165568+0.004322 test-mlogloss:0.651436+0.028292
## [187] train-mlogloss:0.164577+0.004357 test-mlogloss:0.652017+0.028552
## [188] train-mlogloss:0.163763+0.004467 test-mlogloss:0.652769+0.028617
## [189] train-mlogloss:0.162731+0.004386 test-mlogloss:0.653147+0.028174
## [190] train-mlogloss:0.161789+0.004433 test-mlogloss:0.653895+0.028633
## [191] train-mlogloss:0.160916+0.004464 test-mlogloss:0.654069+0.028568
## [192] train-mlogloss:0.160258+0.004443 test-mlogloss:0.654636+0.028882
## [193] train-mlogloss:0.159418+0.004533 test-mlogloss:0.655186+0.028651
## [194] train-mlogloss:0.158572+0.004585 test-mlogloss:0.655729+0.028536
## [195] train-mlogloss:0.157635+0.004495 test-mlogloss:0.656359+0.028560
## [196] train-mlogloss:0.156634+0.004419 test-mlogloss:0.657206+0.028975
## [197] train-mlogloss:0.155761+0.004230 test-mlogloss:0.658407+0.029092
## [198] train-mlogloss:0.154915+0.004190 test-mlogloss:0.658824+0.029117
## [199] train-mlogloss:0.154038+0.004242 test-mlogloss:0.658920+0.029141
## [200] train-mlogloss:0.153178+0.004304 test-mlogloss:0.659525+0.029233
## [201] train-mlogloss:0.152306+0.004238 test-mlogloss:0.660502+0.029122
## [202] train-mlogloss:0.151377+0.004160 test-mlogloss:0.661244+0.029099
## [203] train-mlogloss:0.150576+0.004217 test-mlogloss:0.661587+0.028963
## [204] train-mlogloss:0.149775+0.004186 test-mlogloss:0.662377+0.029374
## [205] train-mlogloss:0.149058+0.004136 test-mlogloss:0.662877+0.029933
## [206] train-mlogloss:0.148141+0.004118 test-mlogloss:0.663755+0.030581
## [207] train-mlogloss:0.147547+0.004147 test-mlogloss:0.664166+0.030625
## [208] train-mlogloss:0.146778+0.004226 test-mlogloss:0.664265+0.030460
## [209] train-mlogloss:0.146023+0.004264 test-mlogloss:0.665266+0.030400
## [210] train-mlogloss:0.145271+0.004151 test-mlogloss:0.665740+0.030071
## [211] train-mlogloss:0.144568+0.004160 test-mlogloss:0.666447+0.030059
## [212] train-mlogloss:0.143811+0.004129 test-mlogloss:0.666865+0.029788
## [213] train-mlogloss:0.142976+0.004093 test-mlogloss:0.667377+0.030320
## [214] train-mlogloss:0.142314+0.004120 test-mlogloss:0.667901+0.029771
## [215] train-mlogloss:0.141530+0.003983 test-mlogloss:0.668655+0.029970
## [216] train-mlogloss:0.140731+0.004000 test-mlogloss:0.668998+0.030288
## [217] train-mlogloss:0.139855+0.004151 test-mlogloss:0.670027+0.030323
## [218] train-mlogloss:0.139063+0.004193 test-mlogloss:0.671164+0.030651
## [219] train-mlogloss:0.138326+0.004275 test-mlogloss:0.672480+0.031167
## [220] train-mlogloss:0.137432+0.004282 test-mlogloss:0.673021+0.031677
## [221] train-mlogloss:0.136602+0.004330 test-mlogloss:0.672915+0.032054
## [222] train-mlogloss:0.135896+0.004338 test-mlogloss:0.672700+0.032103
## [223] train-mlogloss:0.135094+0.004343 test-mlogloss:0.673146+0.032511
## [224] train-mlogloss:0.134313+0.004395 test-mlogloss:0.673780+0.032678
## [225] train-mlogloss:0.133681+0.004401 test-mlogloss:0.674439+0.032907
## [226] train-mlogloss:0.132956+0.004354 test-mlogloss:0.675021+0.032565
## [227] train-mlogloss:0.132359+0.004227 test-mlogloss:0.676066+0.033033
## [228] train-mlogloss:0.131628+0.004210 test-mlogloss:0.676780+0.033663
## [229] train-mlogloss:0.130981+0.004011 test-mlogloss:0.677120+0.033223
## [230] train-mlogloss:0.130272+0.004014 test-mlogloss:0.677644+0.032984
## [231] train-mlogloss:0.129454+0.003984 test-mlogloss:0.678526+0.033352
## [232] train-mlogloss:0.128771+0.003943 test-mlogloss:0.678939+0.033464
## [233] train-mlogloss:0.128152+0.003882 test-mlogloss:0.679191+0.034059
## [234] train-mlogloss:0.127389+0.003915 test-mlogloss:0.679708+0.034375
## [235] train-mlogloss:0.126760+0.003971 test-mlogloss:0.680316+0.034239
## [236] train-mlogloss:0.126054+0.003964 test-mlogloss:0.680919+0.034382
## [237] train-mlogloss:0.125424+0.003975 test-mlogloss:0.681443+0.034311
## [238] train-mlogloss:0.124708+0.004014 test-mlogloss:0.682328+0.034345
## [239] train-mlogloss:0.123967+0.003903 test-mlogloss:0.682977+0.034517
## [240] train-mlogloss:0.123286+0.003832 test-mlogloss:0.683702+0.034246
## [241] train-mlogloss:0.122683+0.003771 test-mlogloss:0.684358+0.033902
## [242] train-mlogloss:0.122003+0.003828 test-mlogloss:0.685025+0.034345
## [243] train-mlogloss:0.121387+0.003912 test-mlogloss:0.685429+0.034101
## [244] train-mlogloss:0.120815+0.003961 test-mlogloss:0.686325+0.034435
## [245] train-mlogloss:0.120165+0.003924 test-mlogloss:0.686659+0.034850
## [246] train-mlogloss:0.119660+0.003861 test-mlogloss:0.687297+0.035086
## [247] train-mlogloss:0.119043+0.003868 test-mlogloss:0.687423+0.035153
## [248] train-mlogloss:0.118403+0.003776 test-mlogloss:0.688206+0.034885
## [249] train-mlogloss:0.117836+0.003783 test-mlogloss:0.688541+0.035070
## [250] train-mlogloss:0.117247+0.003828 test-mlogloss:0.689134+0.034937
## [251] train-mlogloss:0.116613+0.003844 test-mlogloss:0.689534+0.034306
## [252] train-mlogloss:0.116004+0.003825 test-mlogloss:0.690088+0.034852
## [253] train-mlogloss:0.115461+0.003861 test-mlogloss:0.691619+0.035047
## [254] train-mlogloss:0.114879+0.003798 test-mlogloss:0.691963+0.034911
## [255] train-mlogloss:0.114307+0.003867 test-mlogloss:0.692619+0.034559
## [256] train-mlogloss:0.113721+0.003857 test-mlogloss:0.693301+0.035134
## [257] train-mlogloss:0.113150+0.003844 test-mlogloss:0.694026+0.035068
## [258] train-mlogloss:0.112562+0.003884 test-mlogloss:0.694730+0.035398
## [259] train-mlogloss:0.111918+0.003873 test-mlogloss:0.694884+0.035653
## [260] train-mlogloss:0.111204+0.003877 test-mlogloss:0.695459+0.035904
## [261] train-mlogloss:0.110709+0.003731 test-mlogloss:0.696634+0.036100
## [262] train-mlogloss:0.110075+0.003617 test-mlogloss:0.697584+0.036468
## [263] train-mlogloss:0.109532+0.003646 test-mlogloss:0.697831+0.036529
## [264] train-mlogloss:0.109101+0.003591 test-mlogloss:0.698469+0.036553
## [265] train-mlogloss:0.108547+0.003624 test-mlogloss:0.699308+0.036291
## [266] train-mlogloss:0.107966+0.003643 test-mlogloss:0.699932+0.036305
## [267] train-mlogloss:0.107348+0.003613 test-mlogloss:0.700475+0.035870
## [268] train-mlogloss:0.106814+0.003669 test-mlogloss:0.700943+0.035940
## [269] train-mlogloss:0.106256+0.003689 test-mlogloss:0.701634+0.035969
## [270] train-mlogloss:0.105729+0.003752 test-mlogloss:0.701737+0.036025
## [271] train-mlogloss:0.105218+0.003760 test-mlogloss:0.702541+0.036680
## [272] train-mlogloss:0.104690+0.003744 test-mlogloss:0.703667+0.037338
## [273] train-mlogloss:0.104193+0.003758 test-mlogloss:0.703740+0.037115
## [274] train-mlogloss:0.103628+0.003659 test-mlogloss:0.704632+0.037359
## [275] train-mlogloss:0.103101+0.003662 test-mlogloss:0.704688+0.037270
## [276] train-mlogloss:0.102510+0.003717 test-mlogloss:0.705283+0.037308
## [277] train-mlogloss:0.102087+0.003765 test-mlogloss:0.706212+0.037543
## [278] train-mlogloss:0.101597+0.003686 test-mlogloss:0.706654+0.037450
## [279] train-mlogloss:0.101103+0.003627 test-mlogloss:0.707157+0.037062
## [280] train-mlogloss:0.100583+0.003696 test-mlogloss:0.707714+0.037072
## [281] train-mlogloss:0.100199+0.003710 test-mlogloss:0.708646+0.036942
## [282] train-mlogloss:0.099666+0.003714 test-mlogloss:0.709123+0.037270
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## [284] train-mlogloss:0.098604+0.003711 test-mlogloss:0.710526+0.037276
## [285] train-mlogloss:0.098103+0.003760 test-mlogloss:0.710912+0.037675
## [286] train-mlogloss:0.097564+0.003682 test-mlogloss:0.711959+0.037535
## [287] train-mlogloss:0.097150+0.003791 test-mlogloss:0.713016+0.037620
## [288] train-mlogloss:0.096641+0.003783 test-mlogloss:0.713684+0.037842
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## [290] train-mlogloss:0.095782+0.003731 test-mlogloss:0.714939+0.038306
## [291] train-mlogloss:0.095258+0.003755 test-mlogloss:0.715359+0.038367
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## [293] train-mlogloss:0.094360+0.003898 test-mlogloss:0.716200+0.038648
## [294] train-mlogloss:0.093943+0.003986 test-mlogloss:0.716552+0.038858
## [295] train-mlogloss:0.093478+0.003930 test-mlogloss:0.717113+0.039282
## [296] train-mlogloss:0.093006+0.003863 test-mlogloss:0.717461+0.039389
## [297] train-mlogloss:0.092606+0.003858 test-mlogloss:0.718107+0.039743
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## [299] train-mlogloss:0.091759+0.003843 test-mlogloss:0.718898+0.039655
## [300] train-mlogloss:0.091153+0.003867 test-mlogloss:0.719875+0.040183
## [301] train-mlogloss:0.090729+0.003898 test-mlogloss:0.720435+0.039924
## [302] train-mlogloss:0.090277+0.003886 test-mlogloss:0.721107+0.040527
## [303] train-mlogloss:0.089804+0.003797 test-mlogloss:0.721153+0.040350
## [304] train-mlogloss:0.089364+0.003779 test-mlogloss:0.721753+0.040585
## [305] train-mlogloss:0.088860+0.003692 test-mlogloss:0.722172+0.040355
## [306] train-mlogloss:0.088423+0.003610 test-mlogloss:0.722806+0.040737
## [307] train-mlogloss:0.087973+0.003578 test-mlogloss:0.723409+0.040504
## [308] train-mlogloss:0.087572+0.003668 test-mlogloss:0.724184+0.040542
## [309] train-mlogloss:0.087172+0.003666 test-mlogloss:0.724844+0.040952
## [310] train-mlogloss:0.086764+0.003629 test-mlogloss:0.725780+0.040858
## [311] train-mlogloss:0.086410+0.003623 test-mlogloss:0.726069+0.041094
## [312] train-mlogloss:0.085990+0.003600 test-mlogloss:0.726426+0.040983
## [313] train-mlogloss:0.085574+0.003599 test-mlogloss:0.727056+0.040968
## [314] train-mlogloss:0.085194+0.003566 test-mlogloss:0.727137+0.040485
## [315] train-mlogloss:0.084857+0.003541 test-mlogloss:0.727623+0.040942
## [316] train-mlogloss:0.084388+0.003515 test-mlogloss:0.728445+0.041283
## [317] train-mlogloss:0.084005+0.003520 test-mlogloss:0.728872+0.041205
## [318] train-mlogloss:0.083542+0.003469 test-mlogloss:0.729290+0.041359
## [319] train-mlogloss:0.083106+0.003484 test-mlogloss:0.730038+0.041241
## [320] train-mlogloss:0.082691+0.003492 test-mlogloss:0.731021+0.040836
## [321] train-mlogloss:0.082304+0.003485 test-mlogloss:0.731475+0.041195
## [322] train-mlogloss:0.081902+0.003535 test-mlogloss:0.732138+0.041370
## [323] train-mlogloss:0.081452+0.003575 test-mlogloss:0.733074+0.041547
## [324] train-mlogloss:0.081022+0.003596 test-mlogloss:0.733297+0.041399
## [325] train-mlogloss:0.080591+0.003640 test-mlogloss:0.733863+0.041272
## [326] train-mlogloss:0.080181+0.003592 test-mlogloss:0.734198+0.041663
## [327] train-mlogloss:0.079734+0.003570 test-mlogloss:0.734703+0.041720
## [328] train-mlogloss:0.079366+0.003583 test-mlogloss:0.735754+0.041558
## [329] train-mlogloss:0.078960+0.003557 test-mlogloss:0.736143+0.041606
## [330] train-mlogloss:0.078560+0.003628 test-mlogloss:0.736615+0.041695
## [331] train-mlogloss:0.078240+0.003664 test-mlogloss:0.737168+0.041249
## [332] train-mlogloss:0.077850+0.003617 test-mlogloss:0.737762+0.040992
## [333] train-mlogloss:0.077444+0.003576 test-mlogloss:0.738790+0.041432
## [334] train-mlogloss:0.077119+0.003567 test-mlogloss:0.739531+0.041697
## [335] train-mlogloss:0.076768+0.003527 test-mlogloss:0.739625+0.041867
## [336] train-mlogloss:0.076437+0.003497 test-mlogloss:0.740278+0.041449
## [337] train-mlogloss:0.076067+0.003453 test-mlogloss:0.740727+0.042075
## [338] train-mlogloss:0.075761+0.003428 test-mlogloss:0.741672+0.042369
## [339] train-mlogloss:0.075444+0.003448 test-mlogloss:0.742310+0.042436
## [340] train-mlogloss:0.075120+0.003431 test-mlogloss:0.742185+0.042144
## [341] train-mlogloss:0.074767+0.003405 test-mlogloss:0.742614+0.042274
## [342] train-mlogloss:0.074470+0.003369 test-mlogloss:0.743300+0.042115
## [343] train-mlogloss:0.074108+0.003413 test-mlogloss:0.743819+0.042502
## [344] train-mlogloss:0.073799+0.003405 test-mlogloss:0.744171+0.042562
## [345] train-mlogloss:0.073445+0.003351 test-mlogloss:0.744401+0.042245
## [346] train-mlogloss:0.073107+0.003373 test-mlogloss:0.744663+0.042322
## [347] train-mlogloss:0.072705+0.003353 test-mlogloss:0.745334+0.042653
## [348] train-mlogloss:0.072322+0.003346 test-mlogloss:0.746790+0.043349
## [349] train-mlogloss:0.071952+0.003316 test-mlogloss:0.747136+0.042684
## [350] train-mlogloss:0.071628+0.003292 test-mlogloss:0.747774+0.042812
## [351] train-mlogloss:0.071270+0.003291 test-mlogloss:0.748322+0.042746
## [352] train-mlogloss:0.070967+0.003263 test-mlogloss:0.748834+0.042573
## [353] train-mlogloss:0.070703+0.003220 test-mlogloss:0.749183+0.042442
## [354] train-mlogloss:0.070366+0.003192 test-mlogloss:0.749888+0.042604
## [355] train-mlogloss:0.070042+0.003135 test-mlogloss:0.750206+0.042818
## [356] train-mlogloss:0.069743+0.003095 test-mlogloss:0.751161+0.042872
## [357] train-mlogloss:0.069464+0.003130 test-mlogloss:0.752096+0.042884
## [358] train-mlogloss:0.069098+0.003040 test-mlogloss:0.752576+0.043175
## [359] train-mlogloss:0.068752+0.003018 test-mlogloss:0.753322+0.042806
## [360] train-mlogloss:0.068481+0.003062 test-mlogloss:0.753865+0.042628
## [361] train-mlogloss:0.068187+0.003038 test-mlogloss:0.754841+0.042999
## [362] train-mlogloss:0.067840+0.003045 test-mlogloss:0.755253+0.043234
## [363] train-mlogloss:0.067521+0.003075 test-mlogloss:0.755519+0.043155
## [364] train-mlogloss:0.067219+0.003088 test-mlogloss:0.755968+0.043201
## [365] train-mlogloss:0.066876+0.003096 test-mlogloss:0.756709+0.043401
## [366] train-mlogloss:0.066603+0.003083 test-mlogloss:0.757204+0.043390
## [367] train-mlogloss:0.066357+0.003018 test-mlogloss:0.757829+0.043248
## [368] train-mlogloss:0.066029+0.002973 test-mlogloss:0.758706+0.043326
## [369] train-mlogloss:0.065749+0.002956 test-mlogloss:0.759130+0.043891
## [370] train-mlogloss:0.065483+0.002924 test-mlogloss:0.759741+0.043408
## [371] train-mlogloss:0.065180+0.002886 test-mlogloss:0.760438+0.042832
## [372] train-mlogloss:0.064843+0.002854 test-mlogloss:0.760962+0.043035
## [373] train-mlogloss:0.064571+0.002866 test-mlogloss:0.761458+0.043196
## [374] train-mlogloss:0.064290+0.002907 test-mlogloss:0.762250+0.042928
## [375] train-mlogloss:0.063938+0.002852 test-mlogloss:0.762441+0.043023
## [376] train-mlogloss:0.063630+0.002770 test-mlogloss:0.762570+0.043134
## [377] train-mlogloss:0.063369+0.002769 test-mlogloss:0.762861+0.043378
## [378] train-mlogloss:0.063113+0.002774 test-mlogloss:0.763354+0.043301
## [379] train-mlogloss:0.062899+0.002807 test-mlogloss:0.763390+0.043432
## [380] train-mlogloss:0.062572+0.002829 test-mlogloss:0.763956+0.043514
## [381] train-mlogloss:0.062321+0.002829 test-mlogloss:0.764673+0.043391
## [382] train-mlogloss:0.062054+0.002852 test-mlogloss:0.764811+0.042962
## [383] train-mlogloss:0.061758+0.002855 test-mlogloss:0.765447+0.043286
## [384] train-mlogloss:0.061503+0.002850 test-mlogloss:0.765749+0.043397
## [385] train-mlogloss:0.061238+0.002808 test-mlogloss:0.766208+0.043246
## [386] train-mlogloss:0.060925+0.002802 test-mlogloss:0.766687+0.043654
## [387] train-mlogloss:0.060697+0.002810 test-mlogloss:0.767668+0.043714
## [388] train-mlogloss:0.060430+0.002796 test-mlogloss:0.768069+0.043941
## [389] train-mlogloss:0.060117+0.002765 test-mlogloss:0.768569+0.043685
## [390] train-mlogloss:0.059835+0.002766 test-mlogloss:0.769070+0.043991
## [391] train-mlogloss:0.059515+0.002773 test-mlogloss:0.769501+0.043970
## [392] train-mlogloss:0.059279+0.002768 test-mlogloss:0.770372+0.043644
## [393] train-mlogloss:0.059002+0.002763 test-mlogloss:0.770363+0.044096
## [394] train-mlogloss:0.058762+0.002779 test-mlogloss:0.770192+0.043852
## [395] train-mlogloss:0.058511+0.002725 test-mlogloss:0.770689+0.043647
## [396] train-mlogloss:0.058251+0.002706 test-mlogloss:0.771318+0.043504
## [397] train-mlogloss:0.057990+0.002676 test-mlogloss:0.772210+0.044012
## [398] train-mlogloss:0.057763+0.002687 test-mlogloss:0.772722+0.044195
## [399] train-mlogloss:0.057511+0.002701 test-mlogloss:0.773221+0.044042
## [400] train-mlogloss:0.057239+0.002720 test-mlogloss:0.773704+0.044521
## [401] train-mlogloss:0.057026+0.002729 test-mlogloss:0.774490+0.044741
## [402] train-mlogloss:0.056751+0.002732 test-mlogloss:0.775174+0.044624
## [403] train-mlogloss:0.056515+0.002765 test-mlogloss:0.775620+0.044726
## [404] train-mlogloss:0.056267+0.002687 test-mlogloss:0.776380+0.045076
## [405] train-mlogloss:0.056048+0.002670 test-mlogloss:0.776671+0.045017
## [406] train-mlogloss:0.055796+0.002656 test-mlogloss:0.776810+0.045219
## [407] train-mlogloss:0.055482+0.002651 test-mlogloss:0.777389+0.044914
## [408] train-mlogloss:0.055203+0.002620 test-mlogloss:0.778043+0.045041
## [409] train-mlogloss:0.054908+0.002601 test-mlogloss:0.778645+0.044797
## [410] train-mlogloss:0.054637+0.002638 test-mlogloss:0.779067+0.044926
## [411] train-mlogloss:0.054376+0.002624 test-mlogloss:0.780293+0.044982
## [412] train-mlogloss:0.054139+0.002655 test-mlogloss:0.781141+0.045130
## [413] train-mlogloss:0.053916+0.002642 test-mlogloss:0.781374+0.045128
## [414] train-mlogloss:0.053692+0.002631 test-mlogloss:0.781819+0.045293
## [415] train-mlogloss:0.053460+0.002619 test-mlogloss:0.782876+0.045435
## [416] train-mlogloss:0.053240+0.002624 test-mlogloss:0.783268+0.045273
## [417] train-mlogloss:0.052961+0.002655 test-mlogloss:0.783951+0.045579
## [418] train-mlogloss:0.052716+0.002645 test-mlogloss:0.784312+0.045647
## [419] train-mlogloss:0.052467+0.002649 test-mlogloss:0.784597+0.045607
## [420] train-mlogloss:0.052265+0.002652 test-mlogloss:0.784781+0.045423
## [421] train-mlogloss:0.052054+0.002644 test-mlogloss:0.784890+0.045491
## [422] train-mlogloss:0.051764+0.002589 test-mlogloss:0.785720+0.045731
## [423] train-mlogloss:0.051573+0.002556 test-mlogloss:0.786299+0.045566
## [424] train-mlogloss:0.051332+0.002582 test-mlogloss:0.786881+0.045381
## [425] train-mlogloss:0.051140+0.002565 test-mlogloss:0.787459+0.045404
## [426] train-mlogloss:0.050921+0.002578 test-mlogloss:0.788024+0.045538
## [427] train-mlogloss:0.050714+0.002582 test-mlogloss:0.788140+0.045697
## [428] train-mlogloss:0.050493+0.002620 test-mlogloss:0.789069+0.045540
## [429] train-mlogloss:0.050293+0.002583 test-mlogloss:0.789226+0.045506
## [430] train-mlogloss:0.050067+0.002577 test-mlogloss:0.789362+0.045703
## [431] train-mlogloss:0.049837+0.002562 test-mlogloss:0.789503+0.045685
## [432] train-mlogloss:0.049646+0.002576 test-mlogloss:0.790091+0.045547
## [433] train-mlogloss:0.049449+0.002590 test-mlogloss:0.790446+0.045503
## [434] train-mlogloss:0.049245+0.002606 test-mlogloss:0.791017+0.045761
## [435] train-mlogloss:0.049079+0.002622 test-mlogloss:0.791332+0.045735
## [436] train-mlogloss:0.048872+0.002604 test-mlogloss:0.791363+0.045969
## [437] train-mlogloss:0.048625+0.002589 test-mlogloss:0.791980+0.046371
## [438] train-mlogloss:0.048418+0.002596 test-mlogloss:0.792602+0.046536
## [439] train-mlogloss:0.048201+0.002536 test-mlogloss:0.793217+0.046751
## [440] train-mlogloss:0.047986+0.002506 test-mlogloss:0.793843+0.046449
## [441] train-mlogloss:0.047778+0.002497 test-mlogloss:0.794675+0.046566
## [442] train-mlogloss:0.047645+0.002480 test-mlogloss:0.794351+0.046405
## [443] train-mlogloss:0.047444+0.002452 test-mlogloss:0.794792+0.046123
## [444] train-mlogloss:0.047238+0.002438 test-mlogloss:0.795137+0.046257
## [445] train-mlogloss:0.047026+0.002461 test-mlogloss:0.795761+0.046169
## [446] train-mlogloss:0.046795+0.002477 test-mlogloss:0.796618+0.046233
## [447] train-mlogloss:0.046581+0.002479 test-mlogloss:0.796915+0.046022
## [448] train-mlogloss:0.046394+0.002486 test-mlogloss:0.796840+0.046067
## [449] train-mlogloss:0.046189+0.002489 test-mlogloss:0.797453+0.046218
## [450] train-mlogloss:0.045995+0.002529 test-mlogloss:0.798216+0.046387
## [451] train-mlogloss:0.045844+0.002536 test-mlogloss:0.798695+0.046879
## [452] train-mlogloss:0.045636+0.002535 test-mlogloss:0.799545+0.046839
## [453] train-mlogloss:0.045431+0.002513 test-mlogloss:0.800149+0.047172
## [454] train-mlogloss:0.045246+0.002476 test-mlogloss:0.800614+0.047368
## [455] train-mlogloss:0.045059+0.002499 test-mlogloss:0.801109+0.047217
## [456] train-mlogloss:0.044873+0.002521 test-mlogloss:0.801476+0.047357
## [457] train-mlogloss:0.044674+0.002491 test-mlogloss:0.802168+0.047163
## [458] train-mlogloss:0.044505+0.002461 test-mlogloss:0.803036+0.047540
## [459] train-mlogloss:0.044320+0.002455 test-mlogloss:0.803341+0.047836
## [460] train-mlogloss:0.044139+0.002448 test-mlogloss:0.803831+0.048115
## [461] train-mlogloss:0.043947+0.002423 test-mlogloss:0.804560+0.048341
## [462] train-mlogloss:0.043777+0.002399 test-mlogloss:0.805203+0.048575
## [463] train-mlogloss:0.043609+0.002391 test-mlogloss:0.805509+0.048634
## [464] train-mlogloss:0.043441+0.002364 test-mlogloss:0.805818+0.048767
## [465] train-mlogloss:0.043286+0.002355 test-mlogloss:0.806459+0.048851
## [466] train-mlogloss:0.043137+0.002343 test-mlogloss:0.806559+0.048617
## [467] train-mlogloss:0.042943+0.002323 test-mlogloss:0.806854+0.048333
## [468] train-mlogloss:0.042735+0.002328 test-mlogloss:0.807266+0.048459
## [469] train-mlogloss:0.042568+0.002366 test-mlogloss:0.808250+0.048657
## [470] train-mlogloss:0.042413+0.002343 test-mlogloss:0.808575+0.048392
## [471] train-mlogloss:0.042236+0.002319 test-mlogloss:0.809281+0.048384
## [472] train-mlogloss:0.042094+0.002295 test-mlogloss:0.809788+0.048609
## [473] train-mlogloss:0.041914+0.002296 test-mlogloss:0.809998+0.048822
## [474] train-mlogloss:0.041740+0.002271 test-mlogloss:0.810575+0.048676
## [475] train-mlogloss:0.041578+0.002226 test-mlogloss:0.811039+0.048270
## [476] train-mlogloss:0.041427+0.002204 test-mlogloss:0.811806+0.048244
## [477] train-mlogloss:0.041237+0.002208 test-mlogloss:0.812931+0.048135
## [478] train-mlogloss:0.041106+0.002207 test-mlogloss:0.813352+0.048045
## [479] train-mlogloss:0.040926+0.002195 test-mlogloss:0.814189+0.048074
## [480] train-mlogloss:0.040780+0.002174 test-mlogloss:0.814012+0.047659
## [481] train-mlogloss:0.040613+0.002139 test-mlogloss:0.814366+0.047615
## [482] train-mlogloss:0.040479+0.002142 test-mlogloss:0.814906+0.047806
## [483] train-mlogloss:0.040312+0.002155 test-mlogloss:0.815735+0.047798
## [484] train-mlogloss:0.040118+0.002160 test-mlogloss:0.816456+0.047761
## [485] train-mlogloss:0.039960+0.002176 test-mlogloss:0.817026+0.047613
## [486] train-mlogloss:0.039825+0.002171 test-mlogloss:0.817643+0.047949
## [487] train-mlogloss:0.039657+0.002183 test-mlogloss:0.817927+0.047966
## [488] train-mlogloss:0.039509+0.002182 test-mlogloss:0.818205+0.048300
## [489] train-mlogloss:0.039371+0.002167 test-mlogloss:0.818519+0.048366
## [490] train-mlogloss:0.039224+0.002168 test-mlogloss:0.819194+0.048446
## [491] train-mlogloss:0.039058+0.002146 test-mlogloss:0.819940+0.048679
## [492] train-mlogloss:0.038889+0.002139 test-mlogloss:0.820503+0.048943
## [493] train-mlogloss:0.038748+0.002101 test-mlogloss:0.821142+0.048817
## [494] train-mlogloss:0.038595+0.002087 test-mlogloss:0.821636+0.049012
## [495] train-mlogloss:0.038450+0.002093 test-mlogloss:0.821712+0.048699
## [496] train-mlogloss:0.038309+0.002107 test-mlogloss:0.822164+0.049189
## [497] train-mlogloss:0.038151+0.002044 test-mlogloss:0.822320+0.049409
## [498] train-mlogloss:0.037994+0.002051 test-mlogloss:0.823232+0.049680
## [499] train-mlogloss:0.037854+0.002074 test-mlogloss:0.823579+0.049650
## [500] train-mlogloss:0.037728+0.002077 test-mlogloss:0.823918+0.049398
## [1] train-mlogloss:0.558915+0.001447 test-mlogloss:0.631037+0.006622
## [2] train-mlogloss:0.471089+0.002121 test-mlogloss:0.599976+0.005979
## [3] train-mlogloss:0.405248+0.001824 test-mlogloss:0.584185+0.005509
## [4] train-mlogloss:0.352497+0.001446 test-mlogloss:0.573314+0.006995
## [5] train-mlogloss:0.310832+0.001121 test-mlogloss:0.568214+0.008175
## [6] train-mlogloss:0.275749+0.000894 test-mlogloss:0.566593+0.008846
## [7] train-mlogloss:0.248073+0.000938 test-mlogloss:0.567648+0.007331
## [8] train-mlogloss:0.224799+0.000908 test-mlogloss:0.569063+0.006552
## [9] train-mlogloss:0.204632+0.001622 test-mlogloss:0.573638+0.008182
## [10] train-mlogloss:0.188784+0.003230 test-mlogloss:0.578454+0.009136
## [11] train-mlogloss:0.174840+0.003449 test-mlogloss:0.583181+0.009057
## [12] train-mlogloss:0.162990+0.003324 test-mlogloss:0.586562+0.008657
## [13] train-mlogloss:0.152916+0.003904 test-mlogloss:0.590550+0.009620
## [14] train-mlogloss:0.143114+0.003169 test-mlogloss:0.594573+0.009111
## [15] train-mlogloss:0.133742+0.002370 test-mlogloss:0.598815+0.009142
## [16] train-mlogloss:0.125402+0.002106 test-mlogloss:0.603684+0.008416
## [17] train-mlogloss:0.118045+0.001377 test-mlogloss:0.608424+0.008356
## [18] train-mlogloss:0.111226+0.001618 test-mlogloss:0.612710+0.009377
## [19] train-mlogloss:0.105140+0.001294 test-mlogloss:0.617170+0.009733
## [20] train-mlogloss:0.098796+0.001402 test-mlogloss:0.621177+0.010326
## [21] train-mlogloss:0.093392+0.001221 test-mlogloss:0.624483+0.010462
## [22] train-mlogloss:0.088342+0.001281 test-mlogloss:0.629336+0.011287
## [23] train-mlogloss:0.083974+0.001100 test-mlogloss:0.632224+0.011775
## [24] train-mlogloss:0.080134+0.001239 test-mlogloss:0.636445+0.011747
## [25] train-mlogloss:0.076606+0.001137 test-mlogloss:0.639190+0.012118
## [26] train-mlogloss:0.073031+0.000955 test-mlogloss:0.642484+0.011805
## [27] train-mlogloss:0.069863+0.000956 test-mlogloss:0.645702+0.012727
## [28] train-mlogloss:0.066995+0.001014 test-mlogloss:0.649584+0.013263
## [29] train-mlogloss:0.064156+0.000911 test-mlogloss:0.652913+0.013531
## [30] train-mlogloss:0.061517+0.000900 test-mlogloss:0.656113+0.014607
## [31] train-mlogloss:0.059239+0.000717 test-mlogloss:0.658284+0.014553
## [32] train-mlogloss:0.056996+0.000637 test-mlogloss:0.661766+0.015359
## [33] train-mlogloss:0.054890+0.000677 test-mlogloss:0.664756+0.015226
## [34] train-mlogloss:0.052930+0.000684 test-mlogloss:0.668152+0.015714
## [35] train-mlogloss:0.051106+0.000639 test-mlogloss:0.671883+0.015683
## [36] train-mlogloss:0.049396+0.000685 test-mlogloss:0.674584+0.017449
## [37] train-mlogloss:0.047716+0.000595 test-mlogloss:0.677900+0.017155
## [38] train-mlogloss:0.046192+0.000593 test-mlogloss:0.681129+0.017181
## [39] train-mlogloss:0.044718+0.000573 test-mlogloss:0.683270+0.017725
## [40] train-mlogloss:0.043420+0.000490 test-mlogloss:0.686058+0.017541
## [41] train-mlogloss:0.042160+0.000429 test-mlogloss:0.689089+0.018328
## [42] train-mlogloss:0.040974+0.000396 test-mlogloss:0.690786+0.019344
## [43] train-mlogloss:0.039853+0.000375 test-mlogloss:0.692977+0.019557
## [44] train-mlogloss:0.038760+0.000356 test-mlogloss:0.695214+0.019716
## [45] train-mlogloss:0.037750+0.000336 test-mlogloss:0.696941+0.019899
## [46] train-mlogloss:0.036748+0.000341 test-mlogloss:0.699575+0.019818
## [47] train-mlogloss:0.035846+0.000364 test-mlogloss:0.701976+0.020412
## [48] train-mlogloss:0.034956+0.000386 test-mlogloss:0.704304+0.020596
## [49] train-mlogloss:0.034109+0.000392 test-mlogloss:0.706204+0.020889
## [50] train-mlogloss:0.033301+0.000343 test-mlogloss:0.708173+0.020549
## [51] train-mlogloss:0.032516+0.000323 test-mlogloss:0.709583+0.021045
## [52] train-mlogloss:0.031810+0.000329 test-mlogloss:0.711665+0.021219
## [53] train-mlogloss:0.031104+0.000333 test-mlogloss:0.714090+0.021295
## [54] train-mlogloss:0.030438+0.000304 test-mlogloss:0.716323+0.021500
## [55] train-mlogloss:0.029798+0.000276 test-mlogloss:0.718163+0.021634
## [56] train-mlogloss:0.029220+0.000287 test-mlogloss:0.719944+0.021157
## [57] train-mlogloss:0.028649+0.000278 test-mlogloss:0.722133+0.022130
## [58] train-mlogloss:0.028093+0.000271 test-mlogloss:0.723885+0.022664
## [59] train-mlogloss:0.027510+0.000274 test-mlogloss:0.726102+0.023451
## [60] train-mlogloss:0.026995+0.000249 test-mlogloss:0.728384+0.023678
## [61] train-mlogloss:0.026490+0.000247 test-mlogloss:0.730311+0.024133
## [62] train-mlogloss:0.026006+0.000223 test-mlogloss:0.732334+0.023789
## [63] train-mlogloss:0.025542+0.000212 test-mlogloss:0.734609+0.024150
## [64] train-mlogloss:0.025088+0.000226 test-mlogloss:0.735747+0.024555
## [65] train-mlogloss:0.024693+0.000226 test-mlogloss:0.737866+0.024247
## [66] train-mlogloss:0.024262+0.000214 test-mlogloss:0.739852+0.024159
## [67] train-mlogloss:0.023876+0.000197 test-mlogloss:0.741417+0.024918
## [68] train-mlogloss:0.023528+0.000211 test-mlogloss:0.742657+0.025043
## [69] train-mlogloss:0.023144+0.000208 test-mlogloss:0.744295+0.025119
## [70] train-mlogloss:0.022789+0.000205 test-mlogloss:0.745640+0.025572
## [71] train-mlogloss:0.022435+0.000192 test-mlogloss:0.746759+0.024953
## [72] train-mlogloss:0.022108+0.000184 test-mlogloss:0.748200+0.024785
## [73] train-mlogloss:0.021789+0.000184 test-mlogloss:0.749565+0.025526
## [74] train-mlogloss:0.021465+0.000192 test-mlogloss:0.751238+0.026031
## [75] train-mlogloss:0.021152+0.000181 test-mlogloss:0.753113+0.026526
## [76] train-mlogloss:0.020842+0.000183 test-mlogloss:0.754373+0.026548
## [77] train-mlogloss:0.020551+0.000180 test-mlogloss:0.756426+0.026214
## [78] train-mlogloss:0.020273+0.000167 test-mlogloss:0.758337+0.025845
## [79] train-mlogloss:0.019991+0.000153 test-mlogloss:0.759928+0.025850
## [80] train-mlogloss:0.019721+0.000154 test-mlogloss:0.761159+0.025929
## [81] train-mlogloss:0.019464+0.000159 test-mlogloss:0.762449+0.025807
## [82] train-mlogloss:0.019221+0.000158 test-mlogloss:0.763915+0.026157
## [83] train-mlogloss:0.018971+0.000157 test-mlogloss:0.765580+0.026102
## [84] train-mlogloss:0.018733+0.000153 test-mlogloss:0.767079+0.026860
## [85] train-mlogloss:0.018500+0.000153 test-mlogloss:0.768542+0.027161
## [86] train-mlogloss:0.018268+0.000156 test-mlogloss:0.770287+0.026872
## [87] train-mlogloss:0.018037+0.000148 test-mlogloss:0.772159+0.027817
## [88] train-mlogloss:0.017828+0.000148 test-mlogloss:0.773327+0.027564
## [89] train-mlogloss:0.017614+0.000142 test-mlogloss:0.774514+0.027539
## [90] train-mlogloss:0.017418+0.000144 test-mlogloss:0.775691+0.027542
## [91] train-mlogloss:0.017212+0.000148 test-mlogloss:0.777064+0.027684
## [92] train-mlogloss:0.017025+0.000140 test-mlogloss:0.778650+0.028070
## [93] train-mlogloss:0.016836+0.000140 test-mlogloss:0.779277+0.027260
## [94] train-mlogloss:0.016655+0.000135 test-mlogloss:0.780192+0.026938
## [95] train-mlogloss:0.016475+0.000145 test-mlogloss:0.781834+0.027449
## [96] train-mlogloss:0.016303+0.000137 test-mlogloss:0.783600+0.027554
## [97] train-mlogloss:0.016136+0.000136 test-mlogloss:0.784762+0.027662
## [98] train-mlogloss:0.015955+0.000134 test-mlogloss:0.786180+0.027760
## [99] train-mlogloss:0.015792+0.000126 test-mlogloss:0.787412+0.028004
## [100] train-mlogloss:0.015632+0.000129 test-mlogloss:0.789035+0.028233
## [101] train-mlogloss:0.015480+0.000131 test-mlogloss:0.790081+0.028364
## [102] train-mlogloss:0.015323+0.000120 test-mlogloss:0.791368+0.028562
## [103] train-mlogloss:0.015174+0.000116 test-mlogloss:0.792323+0.028455
## [104] train-mlogloss:0.015024+0.000110 test-mlogloss:0.793068+0.028564
## [105] train-mlogloss:0.014878+0.000110 test-mlogloss:0.793923+0.029066
## [106] train-mlogloss:0.014743+0.000115 test-mlogloss:0.795204+0.029170
## [107] train-mlogloss:0.014604+0.000111 test-mlogloss:0.796572+0.028888
## [108] train-mlogloss:0.014468+0.000109 test-mlogloss:0.797705+0.028757
## [109] train-mlogloss:0.014340+0.000109 test-mlogloss:0.798910+0.028934
## [110] train-mlogloss:0.014209+0.000109 test-mlogloss:0.799987+0.029011
## [111] train-mlogloss:0.014081+0.000107 test-mlogloss:0.800550+0.028938
## [112] train-mlogloss:0.013953+0.000108 test-mlogloss:0.801593+0.028747
## [113] train-mlogloss:0.013834+0.000108 test-mlogloss:0.802892+0.029039
## [114] train-mlogloss:0.013708+0.000108 test-mlogloss:0.803949+0.029087
## [115] train-mlogloss:0.013588+0.000109 test-mlogloss:0.805298+0.029252
## [116] train-mlogloss:0.013474+0.000105 test-mlogloss:0.806423+0.028921
## [117] train-mlogloss:0.013365+0.000096 test-mlogloss:0.807398+0.029142
## [118] train-mlogloss:0.013246+0.000093 test-mlogloss:0.808277+0.029272
## [119] train-mlogloss:0.013140+0.000096 test-mlogloss:0.808786+0.029201
## [120] train-mlogloss:0.013035+0.000097 test-mlogloss:0.809675+0.029114
## [121] train-mlogloss:0.012934+0.000098 test-mlogloss:0.810725+0.029240
## [122] train-mlogloss:0.012834+0.000090 test-mlogloss:0.811788+0.029321
## [123] train-mlogloss:0.012730+0.000089 test-mlogloss:0.812952+0.030040
## [124] train-mlogloss:0.012632+0.000084 test-mlogloss:0.814070+0.030048
## [125] train-mlogloss:0.012538+0.000082 test-mlogloss:0.814737+0.030051
## [126] train-mlogloss:0.012448+0.000080 test-mlogloss:0.815554+0.030586
## [127] train-mlogloss:0.012355+0.000077 test-mlogloss:0.816184+0.031038
## [128] train-mlogloss:0.012262+0.000077 test-mlogloss:0.817038+0.031678
## [129] train-mlogloss:0.012177+0.000074 test-mlogloss:0.818017+0.031808
## [130] train-mlogloss:0.012089+0.000073 test-mlogloss:0.819234+0.032213
## [131] train-mlogloss:0.011998+0.000073 test-mlogloss:0.820251+0.032210
## [132] train-mlogloss:0.011907+0.000080 test-mlogloss:0.821136+0.032241
## [133] train-mlogloss:0.011823+0.000081 test-mlogloss:0.821818+0.032472
## [134] train-mlogloss:0.011741+0.000077 test-mlogloss:0.822441+0.031975
## [135] train-mlogloss:0.011660+0.000077 test-mlogloss:0.823368+0.032379
## [136] train-mlogloss:0.011582+0.000077 test-mlogloss:0.824134+0.032455
## [137] train-mlogloss:0.011503+0.000080 test-mlogloss:0.825294+0.032666
## [138] train-mlogloss:0.011424+0.000079 test-mlogloss:0.826281+0.032887
## [139] train-mlogloss:0.011341+0.000079 test-mlogloss:0.827536+0.033101
## [140] train-mlogloss:0.011267+0.000080 test-mlogloss:0.828677+0.032875
## [141] train-mlogloss:0.011192+0.000072 test-mlogloss:0.829542+0.033337
## [142] train-mlogloss:0.011119+0.000077 test-mlogloss:0.830312+0.033478
## [143] train-mlogloss:0.011042+0.000078 test-mlogloss:0.831157+0.033064
## [144] train-mlogloss:0.010970+0.000075 test-mlogloss:0.831973+0.032940
## [145] train-mlogloss:0.010901+0.000072 test-mlogloss:0.832830+0.032567
## [146] train-mlogloss:0.010832+0.000067 test-mlogloss:0.833495+0.032510
## [147] train-mlogloss:0.010766+0.000067 test-mlogloss:0.834356+0.032900
## [148] train-mlogloss:0.010697+0.000064 test-mlogloss:0.835303+0.032599
## [149] train-mlogloss:0.010630+0.000059 test-mlogloss:0.836045+0.032451
## [150] train-mlogloss:0.010566+0.000057 test-mlogloss:0.836941+0.032445
## [151] train-mlogloss:0.010502+0.000055 test-mlogloss:0.837401+0.032725
## [152] train-mlogloss:0.010440+0.000053 test-mlogloss:0.838761+0.033042
## [153] train-mlogloss:0.010374+0.000053 test-mlogloss:0.839721+0.032814
## [154] train-mlogloss:0.010308+0.000053 test-mlogloss:0.840517+0.033007
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## [156] train-mlogloss:0.010184+0.000050 test-mlogloss:0.841948+0.033169
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## [158] train-mlogloss:0.010065+0.000049 test-mlogloss:0.843656+0.033302
## [159] train-mlogloss:0.010011+0.000048 test-mlogloss:0.843936+0.033578
## [160] train-mlogloss:0.009958+0.000052 test-mlogloss:0.844771+0.033781
## [161] train-mlogloss:0.009903+0.000055 test-mlogloss:0.845852+0.034018
## [162] train-mlogloss:0.009849+0.000057 test-mlogloss:0.846758+0.033857
## [163] train-mlogloss:0.009797+0.000058 test-mlogloss:0.847091+0.034070
## [164] train-mlogloss:0.009742+0.000059 test-mlogloss:0.847878+0.034105
## [165] train-mlogloss:0.009689+0.000060 test-mlogloss:0.848152+0.034057
## [166] train-mlogloss:0.009635+0.000057 test-mlogloss:0.848773+0.034027
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## [169] train-mlogloss:0.009480+0.000055 test-mlogloss:0.850946+0.033853
## [170] train-mlogloss:0.009427+0.000054 test-mlogloss:0.851682+0.033822
## [171] train-mlogloss:0.009374+0.000052 test-mlogloss:0.852590+0.033717
## [172] train-mlogloss:0.009324+0.000049 test-mlogloss:0.853108+0.033877
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## [180] train-mlogloss:0.008950+0.000050 test-mlogloss:0.857715+0.035227
## [181] train-mlogloss:0.008906+0.000052 test-mlogloss:0.858300+0.034986
## [182] train-mlogloss:0.008864+0.000051 test-mlogloss:0.858873+0.034829
## [183] train-mlogloss:0.008818+0.000049 test-mlogloss:0.859368+0.035040
## [184] train-mlogloss:0.008782+0.000049 test-mlogloss:0.859639+0.034749
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## [186] train-mlogloss:0.008696+0.000048 test-mlogloss:0.861646+0.035121
## [187] train-mlogloss:0.008656+0.000047 test-mlogloss:0.862438+0.035504
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## [189] train-mlogloss:0.008574+0.000050 test-mlogloss:0.863965+0.035145
## [190] train-mlogloss:0.008534+0.000048 test-mlogloss:0.864134+0.034897
## [191] train-mlogloss:0.008495+0.000049 test-mlogloss:0.864939+0.034793
## [192] train-mlogloss:0.008458+0.000047 test-mlogloss:0.865594+0.035025
## [193] train-mlogloss:0.008420+0.000044 test-mlogloss:0.866405+0.034975
## [194] train-mlogloss:0.008381+0.000042 test-mlogloss:0.866928+0.034844
## [195] train-mlogloss:0.008346+0.000042 test-mlogloss:0.867726+0.034718
## [196] train-mlogloss:0.008311+0.000043 test-mlogloss:0.868259+0.034420
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## [198] train-mlogloss:0.008240+0.000042 test-mlogloss:0.869493+0.034496
## [199] train-mlogloss:0.008203+0.000038 test-mlogloss:0.870106+0.034276
## [200] train-mlogloss:0.008166+0.000038 test-mlogloss:0.870572+0.034482
## [201] train-mlogloss:0.008129+0.000037 test-mlogloss:0.871320+0.034361
## [202] train-mlogloss:0.008095+0.000038 test-mlogloss:0.871969+0.034438
## [203] train-mlogloss:0.008060+0.000040 test-mlogloss:0.872136+0.034469
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## [205] train-mlogloss:0.007994+0.000036 test-mlogloss:0.873490+0.034718
## [206] train-mlogloss:0.007960+0.000035 test-mlogloss:0.874204+0.034626
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## [208] train-mlogloss:0.007894+0.000034 test-mlogloss:0.874871+0.034689
## [209] train-mlogloss:0.007863+0.000034 test-mlogloss:0.875430+0.035211
## [210] train-mlogloss:0.007831+0.000035 test-mlogloss:0.875970+0.035147
## [211] train-mlogloss:0.007802+0.000034 test-mlogloss:0.876449+0.034896
## [212] train-mlogloss:0.007771+0.000035 test-mlogloss:0.877180+0.034893
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## [214] train-mlogloss:0.007709+0.000034 test-mlogloss:0.878644+0.034969
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## [223] train-mlogloss:0.007445+0.000028 test-mlogloss:0.883796+0.036132
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## [227] train-mlogloss:0.007337+0.000025 test-mlogloss:0.885725+0.036413
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## [242] train-mlogloss:0.006957+0.000022 test-mlogloss:0.891735+0.037360
## [243] train-mlogloss:0.006934+0.000022 test-mlogloss:0.892058+0.037514
## [244] train-mlogloss:0.006911+0.000022 test-mlogloss:0.892831+0.037766
## [245] train-mlogloss:0.006888+0.000022 test-mlogloss:0.893166+0.038157
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## [248] train-mlogloss:0.006820+0.000019 test-mlogloss:0.895227+0.038298
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## [250] train-mlogloss:0.006773+0.000019 test-mlogloss:0.896669+0.038106
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## [253] train-mlogloss:0.006708+0.000020 test-mlogloss:0.897878+0.038097
## [254] train-mlogloss:0.006687+0.000018 test-mlogloss:0.898467+0.037922
## [255] train-mlogloss:0.006666+0.000018 test-mlogloss:0.899117+0.037971
## [256] train-mlogloss:0.006642+0.000017 test-mlogloss:0.899161+0.038332
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## [259] train-mlogloss:0.006582+0.000019 test-mlogloss:0.900237+0.038620
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## [272] train-mlogloss:0.006332+0.000017 test-mlogloss:0.905113+0.039133
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## [274] train-mlogloss:0.006294+0.000018 test-mlogloss:0.906211+0.039045
## [275] train-mlogloss:0.006275+0.000018 test-mlogloss:0.906683+0.039087
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## [277] train-mlogloss:0.006237+0.000016 test-mlogloss:0.907682+0.039380
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## [279] train-mlogloss:0.006203+0.000015 test-mlogloss:0.908810+0.039336
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## [285] train-mlogloss:0.006096+0.000015 test-mlogloss:0.911324+0.039377
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## [290] train-mlogloss:0.006013+0.000017 test-mlogloss:0.913293+0.039543
## [291] train-mlogloss:0.005997+0.000017 test-mlogloss:0.913955+0.039675
## [292] train-mlogloss:0.005980+0.000018 test-mlogloss:0.914086+0.039520
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## [299] train-mlogloss:0.005874+0.000020 test-mlogloss:0.917698+0.039387
## [300] train-mlogloss:0.005859+0.000019 test-mlogloss:0.917839+0.039618
## [301] train-mlogloss:0.005845+0.000020 test-mlogloss:0.918013+0.039611
## [302] train-mlogloss:0.005831+0.000020 test-mlogloss:0.918507+0.039490
## [303] train-mlogloss:0.005813+0.000022 test-mlogloss:0.919033+0.040038
## [304] train-mlogloss:0.005798+0.000021 test-mlogloss:0.919009+0.040188
## [305] train-mlogloss:0.005783+0.000021 test-mlogloss:0.919370+0.040150
## [306] train-mlogloss:0.005769+0.000021 test-mlogloss:0.920057+0.040005
## [307] train-mlogloss:0.005754+0.000022 test-mlogloss:0.920121+0.039850
## [308] train-mlogloss:0.005740+0.000022 test-mlogloss:0.920910+0.040378
## [309] train-mlogloss:0.005726+0.000022 test-mlogloss:0.921129+0.040249
## [310] train-mlogloss:0.005712+0.000021 test-mlogloss:0.921748+0.040464
## [311] train-mlogloss:0.005698+0.000020 test-mlogloss:0.922211+0.040446
## [312] train-mlogloss:0.005685+0.000020 test-mlogloss:0.922298+0.040344
## [313] train-mlogloss:0.005670+0.000021 test-mlogloss:0.922343+0.040862
## [314] train-mlogloss:0.005657+0.000020 test-mlogloss:0.922654+0.040821
## [315] train-mlogloss:0.005644+0.000020 test-mlogloss:0.922685+0.040674
## [316] train-mlogloss:0.005630+0.000020 test-mlogloss:0.923006+0.040700
## [317] train-mlogloss:0.005616+0.000020 test-mlogloss:0.923284+0.040278
## [318] train-mlogloss:0.005603+0.000019 test-mlogloss:0.923465+0.040364
## [319] train-mlogloss:0.005589+0.000019 test-mlogloss:0.923676+0.040164
## [320] train-mlogloss:0.005576+0.000019 test-mlogloss:0.924250+0.040070
## [321] train-mlogloss:0.005563+0.000019 test-mlogloss:0.924735+0.039942
## [322] train-mlogloss:0.005550+0.000019 test-mlogloss:0.925269+0.039784
## [323] train-mlogloss:0.005537+0.000018 test-mlogloss:0.925417+0.039825
## [324] train-mlogloss:0.005523+0.000020 test-mlogloss:0.925731+0.039507
## [325] train-mlogloss:0.005511+0.000020 test-mlogloss:0.925686+0.039117
## [326] train-mlogloss:0.005499+0.000017 test-mlogloss:0.926101+0.038978
## [327] train-mlogloss:0.005486+0.000019 test-mlogloss:0.926695+0.039469
## [328] train-mlogloss:0.005473+0.000019 test-mlogloss:0.927080+0.039307
## [329] train-mlogloss:0.005460+0.000020 test-mlogloss:0.927258+0.039093
## [330] train-mlogloss:0.005447+0.000019 test-mlogloss:0.927507+0.039308
## [331] train-mlogloss:0.005434+0.000018 test-mlogloss:0.927728+0.039117
## [332] train-mlogloss:0.005421+0.000018 test-mlogloss:0.928050+0.039360
## [333] train-mlogloss:0.005409+0.000019 test-mlogloss:0.928315+0.039363
## [334] train-mlogloss:0.005395+0.000020 test-mlogloss:0.928661+0.039100
## [335] train-mlogloss:0.005383+0.000021 test-mlogloss:0.928989+0.039256
## [336] train-mlogloss:0.005370+0.000019 test-mlogloss:0.929369+0.039216
## [337] train-mlogloss:0.005358+0.000019 test-mlogloss:0.929542+0.039405
## [338] train-mlogloss:0.005346+0.000019 test-mlogloss:0.929704+0.039358
## [339] train-mlogloss:0.005334+0.000020 test-mlogloss:0.930101+0.039292
## [340] train-mlogloss:0.005322+0.000019 test-mlogloss:0.930478+0.039341
## [341] train-mlogloss:0.005312+0.000019 test-mlogloss:0.930991+0.039393
## [342] train-mlogloss:0.005301+0.000019 test-mlogloss:0.931166+0.039545
## [343] train-mlogloss:0.005288+0.000021 test-mlogloss:0.931355+0.039303
## [344] train-mlogloss:0.005277+0.000021 test-mlogloss:0.931802+0.039564
## [345] train-mlogloss:0.005265+0.000021 test-mlogloss:0.931983+0.039129
## [346] train-mlogloss:0.005253+0.000022 test-mlogloss:0.932991+0.039479
## [347] train-mlogloss:0.005241+0.000021 test-mlogloss:0.933356+0.039700
## [348] train-mlogloss:0.005230+0.000021 test-mlogloss:0.933507+0.039785
## [349] train-mlogloss:0.005219+0.000020 test-mlogloss:0.933779+0.039878
## [350] train-mlogloss:0.005208+0.000021 test-mlogloss:0.934128+0.039781
## [351] train-mlogloss:0.005197+0.000021 test-mlogloss:0.934204+0.039754
## [352] train-mlogloss:0.005186+0.000021 test-mlogloss:0.934664+0.040220
## [353] train-mlogloss:0.005174+0.000022 test-mlogloss:0.934937+0.040226
## [354] train-mlogloss:0.005163+0.000022 test-mlogloss:0.935527+0.040112
## [355] train-mlogloss:0.005151+0.000023 test-mlogloss:0.935919+0.040080
## [356] train-mlogloss:0.005140+0.000021 test-mlogloss:0.936485+0.040082
## [357] train-mlogloss:0.005129+0.000022 test-mlogloss:0.936914+0.040139
## [358] train-mlogloss:0.005118+0.000021 test-mlogloss:0.937325+0.040211
## [359] train-mlogloss:0.005107+0.000021 test-mlogloss:0.937791+0.040042
## [360] train-mlogloss:0.005096+0.000022 test-mlogloss:0.937968+0.040041
## [361] train-mlogloss:0.005087+0.000022 test-mlogloss:0.938241+0.040192
## [362] train-mlogloss:0.005077+0.000021 test-mlogloss:0.938605+0.039838
## [363] train-mlogloss:0.005068+0.000021 test-mlogloss:0.939061+0.039896
## [364] train-mlogloss:0.005058+0.000021 test-mlogloss:0.939178+0.040079
## [365] train-mlogloss:0.005048+0.000022 test-mlogloss:0.939687+0.040126
## [366] train-mlogloss:0.005038+0.000022 test-mlogloss:0.940210+0.040266
## [367] train-mlogloss:0.005027+0.000022 test-mlogloss:0.940712+0.040556
## [368] train-mlogloss:0.005017+0.000022 test-mlogloss:0.940831+0.040626
## [369] train-mlogloss:0.005008+0.000021 test-mlogloss:0.941579+0.040486
## [370] train-mlogloss:0.004997+0.000020 test-mlogloss:0.941536+0.040508
## [371] train-mlogloss:0.004987+0.000021 test-mlogloss:0.941912+0.040597
## [372] train-mlogloss:0.004977+0.000020 test-mlogloss:0.941926+0.040401
## [373] train-mlogloss:0.004967+0.000021 test-mlogloss:0.941996+0.040144
## [374] train-mlogloss:0.004958+0.000020 test-mlogloss:0.942430+0.040022
## [375] train-mlogloss:0.004947+0.000020 test-mlogloss:0.942646+0.039849
## [376] train-mlogloss:0.004939+0.000020 test-mlogloss:0.942727+0.039826
## [377] train-mlogloss:0.004929+0.000019 test-mlogloss:0.943215+0.039898
## [378] train-mlogloss:0.004919+0.000019 test-mlogloss:0.943801+0.039507
## [379] train-mlogloss:0.004909+0.000020 test-mlogloss:0.944121+0.039765
## [380] train-mlogloss:0.004899+0.000019 test-mlogloss:0.944132+0.039468
## [381] train-mlogloss:0.004890+0.000020 test-mlogloss:0.944427+0.039125
## [382] train-mlogloss:0.004880+0.000020 test-mlogloss:0.944642+0.039135
## [383] train-mlogloss:0.004872+0.000020 test-mlogloss:0.944945+0.038908
## [384] train-mlogloss:0.004862+0.000021 test-mlogloss:0.945369+0.038930
## [385] train-mlogloss:0.004852+0.000019 test-mlogloss:0.945450+0.039317
## [386] train-mlogloss:0.004842+0.000020 test-mlogloss:0.945598+0.039455
## [387] train-mlogloss:0.004832+0.000020 test-mlogloss:0.945864+0.039160
## [388] train-mlogloss:0.004822+0.000018 test-mlogloss:0.946020+0.039050
## [389] train-mlogloss:0.004813+0.000019 test-mlogloss:0.946546+0.039069
## [390] train-mlogloss:0.004804+0.000020 test-mlogloss:0.946904+0.039120
## [391] train-mlogloss:0.004796+0.000020 test-mlogloss:0.947034+0.039364
## [392] train-mlogloss:0.004787+0.000019 test-mlogloss:0.947248+0.039319
## [393] train-mlogloss:0.004778+0.000020 test-mlogloss:0.947502+0.039401
## [394] train-mlogloss:0.004767+0.000020 test-mlogloss:0.947790+0.039300
## [395] train-mlogloss:0.004759+0.000019 test-mlogloss:0.948228+0.039101
## [396] train-mlogloss:0.004749+0.000019 test-mlogloss:0.948561+0.039203
## [397] train-mlogloss:0.004740+0.000020 test-mlogloss:0.949108+0.039005
## [398] train-mlogloss:0.004731+0.000021 test-mlogloss:0.949322+0.038778
## [399] train-mlogloss:0.004722+0.000020 test-mlogloss:0.949590+0.038832
## [400] train-mlogloss:0.004713+0.000021 test-mlogloss:0.949957+0.038936
## [401] train-mlogloss:0.004705+0.000021 test-mlogloss:0.950060+0.039121
## [402] train-mlogloss:0.004695+0.000020 test-mlogloss:0.950340+0.039294
## [403] train-mlogloss:0.004687+0.000021 test-mlogloss:0.950578+0.039285
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## [405] train-mlogloss:0.004671+0.000021 test-mlogloss:0.951053+0.039281
## [406] train-mlogloss:0.004663+0.000021 test-mlogloss:0.951173+0.039354
## [407] train-mlogloss:0.004654+0.000021 test-mlogloss:0.951727+0.039633
## [408] train-mlogloss:0.004645+0.000020 test-mlogloss:0.952185+0.039533
## [409] train-mlogloss:0.004637+0.000019 test-mlogloss:0.952281+0.039506
## [410] train-mlogloss:0.004629+0.000019 test-mlogloss:0.952473+0.039428
## [411] train-mlogloss:0.004620+0.000020 test-mlogloss:0.952433+0.039301
## [412] train-mlogloss:0.004611+0.000019 test-mlogloss:0.952571+0.039465
## [413] train-mlogloss:0.004603+0.000019 test-mlogloss:0.953032+0.039477
## [414] train-mlogloss:0.004594+0.000019 test-mlogloss:0.953090+0.039302
## [415] train-mlogloss:0.004587+0.000019 test-mlogloss:0.953386+0.039106
## [416] train-mlogloss:0.004578+0.000018 test-mlogloss:0.953617+0.039024
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## [418] train-mlogloss:0.004563+0.000017 test-mlogloss:0.954124+0.038932
## [419] train-mlogloss:0.004555+0.000019 test-mlogloss:0.954484+0.039085
## [420] train-mlogloss:0.004548+0.000020 test-mlogloss:0.954726+0.039334
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## [422] train-mlogloss:0.004533+0.000019 test-mlogloss:0.955453+0.039604
## [423] train-mlogloss:0.004525+0.000019 test-mlogloss:0.955942+0.039743
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## [439] train-mlogloss:0.004407+0.000022 test-mlogloss:0.959643+0.040648
## [440] train-mlogloss:0.004399+0.000021 test-mlogloss:0.960293+0.040485
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## [448] train-mlogloss:0.004342+0.000021 test-mlogloss:0.961721+0.040693
## [449] train-mlogloss:0.004334+0.000020 test-mlogloss:0.962055+0.040767
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## [451] train-mlogloss:0.004320+0.000020 test-mlogloss:0.962532+0.040369
## [452] train-mlogloss:0.004313+0.000020 test-mlogloss:0.962839+0.040757
## [453] train-mlogloss:0.004307+0.000020 test-mlogloss:0.963002+0.040846
## [454] train-mlogloss:0.004299+0.000019 test-mlogloss:0.963084+0.040745
## [455] train-mlogloss:0.004293+0.000020 test-mlogloss:0.963697+0.040418
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## [459] train-mlogloss:0.004267+0.000019 test-mlogloss:0.964748+0.039971
## [460] train-mlogloss:0.004260+0.000018 test-mlogloss:0.964958+0.040059
## [461] train-mlogloss:0.004254+0.000018 test-mlogloss:0.964874+0.039996
## [462] train-mlogloss:0.004248+0.000018 test-mlogloss:0.964959+0.040133
## [463] train-mlogloss:0.004242+0.000019 test-mlogloss:0.965305+0.040212
## [464] train-mlogloss:0.004235+0.000019 test-mlogloss:0.965425+0.040129
## [465] train-mlogloss:0.004228+0.000018 test-mlogloss:0.965917+0.039902
## [466] train-mlogloss:0.004221+0.000019 test-mlogloss:0.966304+0.040247
## [467] train-mlogloss:0.004215+0.000019 test-mlogloss:0.966365+0.040092
## [468] train-mlogloss:0.004208+0.000019 test-mlogloss:0.966623+0.040127
## [469] train-mlogloss:0.004202+0.000019 test-mlogloss:0.966852+0.040215
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## [471] train-mlogloss:0.004189+0.000019 test-mlogloss:0.967324+0.039954
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## [486] train-mlogloss:0.004100+0.000017 test-mlogloss:0.970019+0.039389
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## [493] train-mlogloss:0.004059+0.000017 test-mlogloss:0.972361+0.039897
## [494] train-mlogloss:0.004053+0.000017 test-mlogloss:0.972809+0.039967
## [495] train-mlogloss:0.004047+0.000017 test-mlogloss:0.972946+0.039950
## [496] train-mlogloss:0.004041+0.000017 test-mlogloss:0.972981+0.039655
## [497] train-mlogloss:0.004036+0.000017 test-mlogloss:0.972988+0.039842
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## [499] train-mlogloss:0.004024+0.000017 test-mlogloss:0.973212+0.039708
## [500] train-mlogloss:0.004018+0.000018 test-mlogloss:0.973272+0.039636
## [1] train-mlogloss:0.539318+0.000592 test-mlogloss:0.558171+0.002820
## [2] train-mlogloss:0.510139+0.000898 test-mlogloss:0.542347+0.004241
## [3] train-mlogloss:0.498029+0.001834 test-mlogloss:0.542037+0.006919
## [4] train-mlogloss:0.488444+0.003114 test-mlogloss:0.545829+0.006926
## [5] train-mlogloss:0.479684+0.002962 test-mlogloss:0.548069+0.006315
## [6] train-mlogloss:0.472677+0.002737 test-mlogloss:0.550778+0.006494
## [7] train-mlogloss:0.462949+0.002672 test-mlogloss:0.555776+0.006836
## [8] train-mlogloss:0.454326+0.003072 test-mlogloss:0.560344+0.008003
## [9] train-mlogloss:0.446061+0.003892 test-mlogloss:0.563645+0.008442
## [10] train-mlogloss:0.438907+0.003742 test-mlogloss:0.566954+0.006654
## [11] train-mlogloss:0.433163+0.004126 test-mlogloss:0.570231+0.007760
## [12] train-mlogloss:0.426032+0.003175 test-mlogloss:0.575989+0.008702
## [13] train-mlogloss:0.419164+0.004084 test-mlogloss:0.578357+0.009478
## [14] train-mlogloss:0.411475+0.003316 test-mlogloss:0.581679+0.011002
## [15] train-mlogloss:0.405527+0.003443 test-mlogloss:0.584876+0.010612
## [16] train-mlogloss:0.398483+0.002846 test-mlogloss:0.587795+0.010698
## [17] train-mlogloss:0.392471+0.003392 test-mlogloss:0.591375+0.012361
## [18] train-mlogloss:0.385139+0.003431 test-mlogloss:0.592838+0.014366
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## [21] train-mlogloss:0.367557+0.003300 test-mlogloss:0.605888+0.014771
## [22] train-mlogloss:0.361091+0.003160 test-mlogloss:0.608080+0.013067
## [23] train-mlogloss:0.355059+0.002463 test-mlogloss:0.610454+0.012579
## [24] train-mlogloss:0.349976+0.003413 test-mlogloss:0.612690+0.013853
## [25] train-mlogloss:0.344229+0.003667 test-mlogloss:0.615286+0.014527
## [26] train-mlogloss:0.338546+0.003606 test-mlogloss:0.617898+0.014110
## [27] train-mlogloss:0.333421+0.003522 test-mlogloss:0.620756+0.013784
## [28] train-mlogloss:0.329004+0.003590 test-mlogloss:0.622456+0.014462
## [29] train-mlogloss:0.323710+0.003823 test-mlogloss:0.625105+0.014180
## [30] train-mlogloss:0.318598+0.004182 test-mlogloss:0.627725+0.015019
## [31] train-mlogloss:0.313546+0.003692 test-mlogloss:0.631127+0.015665
## [32] train-mlogloss:0.308930+0.004103 test-mlogloss:0.635631+0.016189
## [33] train-mlogloss:0.303864+0.004195 test-mlogloss:0.637358+0.015920
## [34] train-mlogloss:0.299512+0.004067 test-mlogloss:0.641086+0.017775
## [35] train-mlogloss:0.295424+0.003710 test-mlogloss:0.645491+0.018754
## [36] train-mlogloss:0.290956+0.004111 test-mlogloss:0.649491+0.018899
## [37] train-mlogloss:0.286642+0.003981 test-mlogloss:0.652408+0.017937
## [38] train-mlogloss:0.281482+0.004433 test-mlogloss:0.655054+0.019898
## [39] train-mlogloss:0.277101+0.003851 test-mlogloss:0.658203+0.020753
## [40] train-mlogloss:0.273044+0.004018 test-mlogloss:0.660677+0.021315
## [41] train-mlogloss:0.268660+0.004374 test-mlogloss:0.662856+0.021495
## [42] train-mlogloss:0.264808+0.003773 test-mlogloss:0.665450+0.021354
## [43] train-mlogloss:0.260922+0.003896 test-mlogloss:0.667915+0.021756
## [44] train-mlogloss:0.256477+0.003849 test-mlogloss:0.669411+0.021073
## [45] train-mlogloss:0.252533+0.003415 test-mlogloss:0.672264+0.021733
## [46] train-mlogloss:0.249051+0.003245 test-mlogloss:0.673983+0.022824
## [47] train-mlogloss:0.245396+0.003261 test-mlogloss:0.676030+0.023413
## [48] train-mlogloss:0.241971+0.003246 test-mlogloss:0.679884+0.022658
## [49] train-mlogloss:0.238900+0.002969 test-mlogloss:0.681196+0.022708
## [50] train-mlogloss:0.235153+0.002860 test-mlogloss:0.685311+0.025678
## [51] train-mlogloss:0.231922+0.003059 test-mlogloss:0.687564+0.027171
## [52] train-mlogloss:0.228953+0.002651 test-mlogloss:0.688997+0.026970
## [53] train-mlogloss:0.225120+0.002556 test-mlogloss:0.692658+0.027404
## [54] train-mlogloss:0.222090+0.002811 test-mlogloss:0.695534+0.027940
## [55] train-mlogloss:0.218371+0.003222 test-mlogloss:0.695923+0.028689
## [56] train-mlogloss:0.214800+0.003059 test-mlogloss:0.698352+0.028116
## [57] train-mlogloss:0.211634+0.003025 test-mlogloss:0.699240+0.028257
## [58] train-mlogloss:0.208738+0.002775 test-mlogloss:0.701746+0.030325
## [59] train-mlogloss:0.205114+0.002456 test-mlogloss:0.704637+0.030922
## [60] train-mlogloss:0.202440+0.002839 test-mlogloss:0.707677+0.029577
## [61] train-mlogloss:0.199678+0.002900 test-mlogloss:0.710615+0.031236
## [62] train-mlogloss:0.196443+0.002850 test-mlogloss:0.711635+0.030411
## [63] train-mlogloss:0.193446+0.002811 test-mlogloss:0.715525+0.030594
## [64] train-mlogloss:0.190338+0.002680 test-mlogloss:0.719199+0.031328
## [65] train-mlogloss:0.187470+0.002665 test-mlogloss:0.720449+0.033700
## [66] train-mlogloss:0.184406+0.003015 test-mlogloss:0.724250+0.034444
## [67] train-mlogloss:0.181326+0.002621 test-mlogloss:0.725788+0.034921
## [68] train-mlogloss:0.178566+0.002316 test-mlogloss:0.727749+0.036371
## [69] train-mlogloss:0.175982+0.002295 test-mlogloss:0.730424+0.036212
## [70] train-mlogloss:0.173113+0.002251 test-mlogloss:0.732879+0.037858
## [71] train-mlogloss:0.170736+0.002452 test-mlogloss:0.735870+0.038053
## [72] train-mlogloss:0.168512+0.002711 test-mlogloss:0.738686+0.039767
## [73] train-mlogloss:0.165896+0.002692 test-mlogloss:0.742150+0.038317
## [74] train-mlogloss:0.163265+0.002512 test-mlogloss:0.744232+0.038080
## [75] train-mlogloss:0.160804+0.002589 test-mlogloss:0.748691+0.038861
## [76] train-mlogloss:0.158854+0.003069 test-mlogloss:0.750134+0.039720
## [77] train-mlogloss:0.156525+0.003188 test-mlogloss:0.752394+0.041357
## [78] train-mlogloss:0.154179+0.003180 test-mlogloss:0.754910+0.041507
## [79] train-mlogloss:0.151951+0.003103 test-mlogloss:0.757262+0.042541
## [80] train-mlogloss:0.149473+0.003008 test-mlogloss:0.759314+0.041761
## [81] train-mlogloss:0.147249+0.003215 test-mlogloss:0.760064+0.041858
## [82] train-mlogloss:0.145328+0.003150 test-mlogloss:0.762114+0.041571
## [83] train-mlogloss:0.143446+0.002714 test-mlogloss:0.764178+0.041005
## [84] train-mlogloss:0.141397+0.002654 test-mlogloss:0.767364+0.042944
## [85] train-mlogloss:0.139220+0.002513 test-mlogloss:0.769633+0.043014
## [86] train-mlogloss:0.137451+0.002567 test-mlogloss:0.772255+0.043804
## [87] train-mlogloss:0.135464+0.002547 test-mlogloss:0.773482+0.043520
## [88] train-mlogloss:0.133484+0.002377 test-mlogloss:0.777114+0.043752
## [89] train-mlogloss:0.131521+0.002310 test-mlogloss:0.779127+0.042814
## [90] train-mlogloss:0.129924+0.002447 test-mlogloss:0.783069+0.044423
## [91] train-mlogloss:0.128076+0.002301 test-mlogloss:0.785316+0.045345
## [92] train-mlogloss:0.125984+0.002176 test-mlogloss:0.787693+0.043869
## [93] train-mlogloss:0.124295+0.002010 test-mlogloss:0.791388+0.045116
## [94] train-mlogloss:0.122449+0.001817 test-mlogloss:0.794542+0.044882
## [95] train-mlogloss:0.120885+0.001772 test-mlogloss:0.795572+0.044222
## [96] train-mlogloss:0.119402+0.001892 test-mlogloss:0.796587+0.043510
## [97] train-mlogloss:0.117477+0.001743 test-mlogloss:0.799075+0.042492
## [98] train-mlogloss:0.115728+0.001864 test-mlogloss:0.800902+0.043436
## [99] train-mlogloss:0.114008+0.001779 test-mlogloss:0.802915+0.043908
## [100] train-mlogloss:0.112339+0.001936 test-mlogloss:0.805616+0.044017
## [101] train-mlogloss:0.110777+0.002226 test-mlogloss:0.806058+0.044410
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## [103] train-mlogloss:0.107603+0.002429 test-mlogloss:0.811114+0.045678
## [104] train-mlogloss:0.106069+0.002257 test-mlogloss:0.812102+0.046723
## [105] train-mlogloss:0.104735+0.002187 test-mlogloss:0.812975+0.047085
## [106] train-mlogloss:0.103122+0.002293 test-mlogloss:0.814736+0.048520
## [107] train-mlogloss:0.101624+0.002224 test-mlogloss:0.816023+0.048297
## [108] train-mlogloss:0.100134+0.002346 test-mlogloss:0.818097+0.047740
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## [110] train-mlogloss:0.097006+0.002375 test-mlogloss:0.821073+0.052136
## [111] train-mlogloss:0.095479+0.002400 test-mlogloss:0.823193+0.052021
## [112] train-mlogloss:0.094550+0.002482 test-mlogloss:0.825221+0.053834
## [113] train-mlogloss:0.093371+0.002604 test-mlogloss:0.825953+0.053168
## [114] train-mlogloss:0.092098+0.002316 test-mlogloss:0.828677+0.053870
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## [118] train-mlogloss:0.087287+0.002356 test-mlogloss:0.834182+0.050532
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## [122] train-mlogloss:0.082571+0.002334 test-mlogloss:0.841714+0.051137
## [123] train-mlogloss:0.081364+0.002327 test-mlogloss:0.844089+0.050213
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## [125] train-mlogloss:0.079124+0.002394 test-mlogloss:0.847348+0.052144
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## [133] train-mlogloss:0.071005+0.002281 test-mlogloss:0.858005+0.051048
## [134] train-mlogloss:0.069936+0.002229 test-mlogloss:0.859289+0.051226
## [135] train-mlogloss:0.069111+0.002216 test-mlogloss:0.861002+0.050614
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## [200] train-mlogloss:0.032792+0.000706 test-mlogloss:0.966921+0.054018
## [201] train-mlogloss:0.032436+0.000719 test-mlogloss:0.968884+0.054542
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## [208] train-mlogloss:0.030234+0.000775 test-mlogloss:0.979829+0.055696
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## [210] train-mlogloss:0.029568+0.000753 test-mlogloss:0.981902+0.056728
## [211] train-mlogloss:0.029328+0.000738 test-mlogloss:0.982355+0.057509
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## [213] train-mlogloss:0.028800+0.000695 test-mlogloss:0.983633+0.057761
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## [217] train-mlogloss:0.027738+0.000590 test-mlogloss:0.990306+0.058947
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## [219] train-mlogloss:0.027184+0.000634 test-mlogloss:0.995069+0.058046
## [220] train-mlogloss:0.026889+0.000647 test-mlogloss:0.996273+0.055759
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## [223] train-mlogloss:0.026153+0.000600 test-mlogloss:1.000570+0.057328
## [224] train-mlogloss:0.025918+0.000572 test-mlogloss:1.001341+0.057335
## [225] train-mlogloss:0.025695+0.000542 test-mlogloss:1.003152+0.057529
## [226] train-mlogloss:0.025480+0.000544 test-mlogloss:1.004210+0.059150
## [227] train-mlogloss:0.025211+0.000521 test-mlogloss:1.005525+0.058487
## [228] train-mlogloss:0.024988+0.000487 test-mlogloss:1.007865+0.059454
## [229] train-mlogloss:0.024755+0.000522 test-mlogloss:1.009065+0.060234
## [230] train-mlogloss:0.024531+0.000527 test-mlogloss:1.009617+0.059222
## [231] train-mlogloss:0.024305+0.000550 test-mlogloss:1.011402+0.060906
## [232] train-mlogloss:0.024091+0.000520 test-mlogloss:1.011604+0.059665
## [233] train-mlogloss:0.023840+0.000519 test-mlogloss:1.012714+0.059003
## [234] train-mlogloss:0.023632+0.000517 test-mlogloss:1.012370+0.059347
## [235] train-mlogloss:0.023406+0.000507 test-mlogloss:1.012857+0.059808
## [236] train-mlogloss:0.023145+0.000524 test-mlogloss:1.013716+0.060092
## [237] train-mlogloss:0.022919+0.000488 test-mlogloss:1.014940+0.060003
## [238] train-mlogloss:0.022688+0.000507 test-mlogloss:1.016045+0.060800
## [239] train-mlogloss:0.022471+0.000481 test-mlogloss:1.017608+0.061059
## [240] train-mlogloss:0.022271+0.000488 test-mlogloss:1.018879+0.060648
## [241] train-mlogloss:0.022079+0.000469 test-mlogloss:1.020208+0.060655
## [242] train-mlogloss:0.021895+0.000498 test-mlogloss:1.021289+0.061955
## [243] train-mlogloss:0.021717+0.000493 test-mlogloss:1.021859+0.061052
## [244] train-mlogloss:0.021524+0.000503 test-mlogloss:1.022880+0.060634
## [245] train-mlogloss:0.021357+0.000495 test-mlogloss:1.024560+0.062619
## [246] train-mlogloss:0.021170+0.000500 test-mlogloss:1.025862+0.063034
## [247] train-mlogloss:0.021009+0.000472 test-mlogloss:1.027896+0.063639
## [248] train-mlogloss:0.020846+0.000492 test-mlogloss:1.027412+0.063495
## [249] train-mlogloss:0.020679+0.000491 test-mlogloss:1.028258+0.064161
## [250] train-mlogloss:0.020526+0.000472 test-mlogloss:1.030166+0.063649
## [251] train-mlogloss:0.020351+0.000512 test-mlogloss:1.030963+0.064834
## [252] train-mlogloss:0.020188+0.000505 test-mlogloss:1.031578+0.065649
## [253] train-mlogloss:0.020061+0.000505 test-mlogloss:1.032182+0.066107
## [254] train-mlogloss:0.019888+0.000483 test-mlogloss:1.032078+0.064558
## [255] train-mlogloss:0.019731+0.000456 test-mlogloss:1.034031+0.064444
## [256] train-mlogloss:0.019550+0.000429 test-mlogloss:1.034332+0.063998
## [257] train-mlogloss:0.019390+0.000397 test-mlogloss:1.035985+0.064391
## [258] train-mlogloss:0.019216+0.000396 test-mlogloss:1.036355+0.064146
## [259] train-mlogloss:0.019040+0.000413 test-mlogloss:1.037130+0.063873
## [260] train-mlogloss:0.018901+0.000429 test-mlogloss:1.038283+0.064221
## [261] train-mlogloss:0.018769+0.000430 test-mlogloss:1.039530+0.063083
## [262] train-mlogloss:0.018618+0.000439 test-mlogloss:1.041154+0.062941
## [263] train-mlogloss:0.018488+0.000449 test-mlogloss:1.043689+0.063496
## [264] train-mlogloss:0.018369+0.000475 test-mlogloss:1.044315+0.063371
## [265] train-mlogloss:0.018217+0.000454 test-mlogloss:1.045098+0.063197
## [266] train-mlogloss:0.018074+0.000442 test-mlogloss:1.045082+0.064357
## [267] train-mlogloss:0.017938+0.000413 test-mlogloss:1.044887+0.064704
## [268] train-mlogloss:0.017804+0.000396 test-mlogloss:1.045984+0.064938
## [269] train-mlogloss:0.017653+0.000376 test-mlogloss:1.048419+0.063933
## [270] train-mlogloss:0.017516+0.000367 test-mlogloss:1.050036+0.064249
## [271] train-mlogloss:0.017357+0.000383 test-mlogloss:1.051670+0.063874
## [272] train-mlogloss:0.017208+0.000367 test-mlogloss:1.053915+0.064763
## [273] train-mlogloss:0.017085+0.000379 test-mlogloss:1.055463+0.063267
## [274] train-mlogloss:0.016935+0.000377 test-mlogloss:1.056778+0.064197
## [275] train-mlogloss:0.016822+0.000352 test-mlogloss:1.058130+0.063970
## [276] train-mlogloss:0.016697+0.000399 test-mlogloss:1.058656+0.063541
## [277] train-mlogloss:0.016584+0.000381 test-mlogloss:1.060374+0.063986
## [278] train-mlogloss:0.016466+0.000374 test-mlogloss:1.060989+0.064674
## [279] train-mlogloss:0.016341+0.000366 test-mlogloss:1.060833+0.065088
## [280] train-mlogloss:0.016231+0.000373 test-mlogloss:1.061197+0.065719
## [281] train-mlogloss:0.016094+0.000346 test-mlogloss:1.061854+0.065688
## [282] train-mlogloss:0.015972+0.000357 test-mlogloss:1.062651+0.065203
## [283] train-mlogloss:0.015833+0.000342 test-mlogloss:1.063385+0.065354
## [284] train-mlogloss:0.015703+0.000339 test-mlogloss:1.064826+0.066361
## [285] train-mlogloss:0.015572+0.000330 test-mlogloss:1.066217+0.066283
## [286] train-mlogloss:0.015450+0.000319 test-mlogloss:1.067942+0.066443
## [287] train-mlogloss:0.015344+0.000314 test-mlogloss:1.069386+0.064943
## [288] train-mlogloss:0.015239+0.000276 test-mlogloss:1.069993+0.065628
## [289] train-mlogloss:0.015119+0.000270 test-mlogloss:1.070616+0.066112
## [290] train-mlogloss:0.015033+0.000266 test-mlogloss:1.071692+0.066390
## [291] train-mlogloss:0.014928+0.000291 test-mlogloss:1.073309+0.068039
## [292] train-mlogloss:0.014831+0.000304 test-mlogloss:1.074887+0.069359
## [293] train-mlogloss:0.014733+0.000295 test-mlogloss:1.076228+0.068416
## [294] train-mlogloss:0.014641+0.000290 test-mlogloss:1.076943+0.067607
## [295] train-mlogloss:0.014551+0.000290 test-mlogloss:1.078052+0.066709
## [296] train-mlogloss:0.014446+0.000288 test-mlogloss:1.079540+0.066775
## [297] train-mlogloss:0.014345+0.000280 test-mlogloss:1.080024+0.066890
## [298] train-mlogloss:0.014229+0.000298 test-mlogloss:1.081591+0.066442
## [299] train-mlogloss:0.014148+0.000313 test-mlogloss:1.081596+0.066808
## [300] train-mlogloss:0.014063+0.000317 test-mlogloss:1.083131+0.067461
## [301] train-mlogloss:0.013965+0.000321 test-mlogloss:1.084296+0.066613
## [302] train-mlogloss:0.013876+0.000314 test-mlogloss:1.084905+0.067364
## [303] train-mlogloss:0.013782+0.000321 test-mlogloss:1.086716+0.068060
## [304] train-mlogloss:0.013677+0.000310 test-mlogloss:1.088200+0.066877
## [305] train-mlogloss:0.013575+0.000314 test-mlogloss:1.088054+0.067564
## [306] train-mlogloss:0.013491+0.000304 test-mlogloss:1.089419+0.067528
## [307] train-mlogloss:0.013379+0.000317 test-mlogloss:1.090282+0.067522
## [308] train-mlogloss:0.013300+0.000299 test-mlogloss:1.091293+0.067098
## [309] train-mlogloss:0.013226+0.000283 test-mlogloss:1.092886+0.067001
## [310] train-mlogloss:0.013141+0.000284 test-mlogloss:1.093435+0.066714
## [311] train-mlogloss:0.013067+0.000288 test-mlogloss:1.094360+0.066041
## [312] train-mlogloss:0.012981+0.000271 test-mlogloss:1.095145+0.066757
## [313] train-mlogloss:0.012899+0.000293 test-mlogloss:1.095295+0.066733
## [314] train-mlogloss:0.012828+0.000293 test-mlogloss:1.096392+0.066152
## [315] train-mlogloss:0.012755+0.000296 test-mlogloss:1.097456+0.066461
## [316] train-mlogloss:0.012695+0.000287 test-mlogloss:1.098612+0.066186
## [317] train-mlogloss:0.012625+0.000284 test-mlogloss:1.098588+0.066772
## [318] train-mlogloss:0.012545+0.000279 test-mlogloss:1.100036+0.066091
## [319] train-mlogloss:0.012466+0.000268 test-mlogloss:1.100333+0.065136
## [320] train-mlogloss:0.012396+0.000244 test-mlogloss:1.101373+0.065125
## [321] train-mlogloss:0.012316+0.000238 test-mlogloss:1.102703+0.065209
## [322] train-mlogloss:0.012239+0.000229 test-mlogloss:1.105288+0.065837
## [323] train-mlogloss:0.012159+0.000224 test-mlogloss:1.106130+0.065956
## [324] train-mlogloss:0.012070+0.000205 test-mlogloss:1.106679+0.065335
## [325] train-mlogloss:0.012001+0.000193 test-mlogloss:1.106745+0.066321
## [326] train-mlogloss:0.011914+0.000197 test-mlogloss:1.107754+0.066851
## [327] train-mlogloss:0.011841+0.000211 test-mlogloss:1.108805+0.065611
## [328] train-mlogloss:0.011775+0.000198 test-mlogloss:1.109107+0.064766
## [329] train-mlogloss:0.011718+0.000200 test-mlogloss:1.109787+0.064596
## [330] train-mlogloss:0.011659+0.000202 test-mlogloss:1.110236+0.063323
## [331] train-mlogloss:0.011575+0.000198 test-mlogloss:1.111404+0.063338
## [332] train-mlogloss:0.011515+0.000189 test-mlogloss:1.112814+0.062824
## [333] train-mlogloss:0.011445+0.000184 test-mlogloss:1.114033+0.062655
## [334] train-mlogloss:0.011381+0.000192 test-mlogloss:1.114911+0.062266
## [335] train-mlogloss:0.011318+0.000185 test-mlogloss:1.116142+0.061593
## [336] train-mlogloss:0.011253+0.000172 test-mlogloss:1.117127+0.062271
## [337] train-mlogloss:0.011175+0.000180 test-mlogloss:1.117345+0.062930
## [338] train-mlogloss:0.011103+0.000190 test-mlogloss:1.118264+0.063224
## [339] train-mlogloss:0.011034+0.000191 test-mlogloss:1.120123+0.064600
## [340] train-mlogloss:0.010977+0.000200 test-mlogloss:1.120453+0.063618
## [341] train-mlogloss:0.010920+0.000201 test-mlogloss:1.120955+0.064458
## [342] train-mlogloss:0.010839+0.000203 test-mlogloss:1.121693+0.064905
## [343] train-mlogloss:0.010785+0.000205 test-mlogloss:1.122813+0.064687
## [344] train-mlogloss:0.010738+0.000203 test-mlogloss:1.124397+0.064596
## [345] train-mlogloss:0.010680+0.000203 test-mlogloss:1.125505+0.064830
## [346] train-mlogloss:0.010617+0.000196 test-mlogloss:1.126779+0.064469
## [347] train-mlogloss:0.010557+0.000192 test-mlogloss:1.127763+0.065201
## [348] train-mlogloss:0.010508+0.000190 test-mlogloss:1.127751+0.065548
## [349] train-mlogloss:0.010458+0.000190 test-mlogloss:1.127869+0.065786
## [350] train-mlogloss:0.010408+0.000193 test-mlogloss:1.129325+0.065738
## [351] train-mlogloss:0.010347+0.000181 test-mlogloss:1.130120+0.066196
## [352] train-mlogloss:0.010291+0.000183 test-mlogloss:1.130397+0.066193
## [353] train-mlogloss:0.010227+0.000177 test-mlogloss:1.131928+0.065704
## [354] train-mlogloss:0.010171+0.000168 test-mlogloss:1.133611+0.065761
## [355] train-mlogloss:0.010120+0.000163 test-mlogloss:1.134772+0.065098
## [356] train-mlogloss:0.010064+0.000163 test-mlogloss:1.135240+0.066426
## [357] train-mlogloss:0.010014+0.000163 test-mlogloss:1.136200+0.065547
## [358] train-mlogloss:0.009959+0.000172 test-mlogloss:1.136777+0.066070
## [359] train-mlogloss:0.009910+0.000170 test-mlogloss:1.138151+0.066176
## [360] train-mlogloss:0.009859+0.000173 test-mlogloss:1.139339+0.066943
## [361] train-mlogloss:0.009804+0.000173 test-mlogloss:1.140109+0.067336
## [362] train-mlogloss:0.009748+0.000172 test-mlogloss:1.141697+0.068137
## [363] train-mlogloss:0.009704+0.000169 test-mlogloss:1.143370+0.068055
## [364] train-mlogloss:0.009651+0.000163 test-mlogloss:1.144011+0.068745
## [365] train-mlogloss:0.009597+0.000160 test-mlogloss:1.145338+0.067864
## [366] train-mlogloss:0.009549+0.000153 test-mlogloss:1.146924+0.068614
## [367] train-mlogloss:0.009502+0.000150 test-mlogloss:1.146885+0.068673
## [368] train-mlogloss:0.009458+0.000150 test-mlogloss:1.147946+0.068260
## [369] train-mlogloss:0.009401+0.000160 test-mlogloss:1.149691+0.068056
## [370] train-mlogloss:0.009349+0.000165 test-mlogloss:1.149929+0.068518
## [371] train-mlogloss:0.009306+0.000158 test-mlogloss:1.151540+0.067611
## [372] train-mlogloss:0.009268+0.000163 test-mlogloss:1.152258+0.067922
## [373] train-mlogloss:0.009222+0.000161 test-mlogloss:1.152908+0.067400
## [374] train-mlogloss:0.009189+0.000151 test-mlogloss:1.153387+0.067148
## [375] train-mlogloss:0.009142+0.000138 test-mlogloss:1.154041+0.067871
## [376] train-mlogloss:0.009099+0.000140 test-mlogloss:1.154884+0.066676
## [377] train-mlogloss:0.009055+0.000139 test-mlogloss:1.155463+0.067413
## [378] train-mlogloss:0.009021+0.000131 test-mlogloss:1.156093+0.067032
## [379] train-mlogloss:0.008969+0.000130 test-mlogloss:1.158136+0.067469
## [380] train-mlogloss:0.008921+0.000132 test-mlogloss:1.158760+0.066734
## [381] train-mlogloss:0.008872+0.000130 test-mlogloss:1.160051+0.067129
## [382] train-mlogloss:0.008828+0.000126 test-mlogloss:1.161021+0.067339
## [383] train-mlogloss:0.008777+0.000127 test-mlogloss:1.160909+0.067268
## [384] train-mlogloss:0.008734+0.000119 test-mlogloss:1.162646+0.068535
## [385] train-mlogloss:0.008702+0.000112 test-mlogloss:1.162698+0.068678
## [386] train-mlogloss:0.008659+0.000103 test-mlogloss:1.163463+0.069165
## [387] train-mlogloss:0.008619+0.000101 test-mlogloss:1.164167+0.068120
## [388] train-mlogloss:0.008581+0.000109 test-mlogloss:1.164190+0.068804
## [389] train-mlogloss:0.008534+0.000104 test-mlogloss:1.165449+0.068805
## [390] train-mlogloss:0.008495+0.000111 test-mlogloss:1.166302+0.068899
## [391] train-mlogloss:0.008450+0.000111 test-mlogloss:1.167064+0.068774
## [392] train-mlogloss:0.008411+0.000116 test-mlogloss:1.167587+0.068798
## [393] train-mlogloss:0.008377+0.000110 test-mlogloss:1.169428+0.068346
## [394] train-mlogloss:0.008337+0.000106 test-mlogloss:1.170951+0.068123
## [395] train-mlogloss:0.008293+0.000099 test-mlogloss:1.172277+0.067224
## [396] train-mlogloss:0.008260+0.000096 test-mlogloss:1.172525+0.067637
## [397] train-mlogloss:0.008215+0.000092 test-mlogloss:1.173656+0.067805
## [398] train-mlogloss:0.008166+0.000085 test-mlogloss:1.174310+0.068028
## [399] train-mlogloss:0.008131+0.000075 test-mlogloss:1.175456+0.068710
## [400] train-mlogloss:0.008089+0.000082 test-mlogloss:1.174794+0.068372
## [401] train-mlogloss:0.008048+0.000083 test-mlogloss:1.175524+0.068325
## [402] train-mlogloss:0.008013+0.000077 test-mlogloss:1.176482+0.067627
## [403] train-mlogloss:0.007983+0.000072 test-mlogloss:1.179322+0.068056
## [404] train-mlogloss:0.007952+0.000071 test-mlogloss:1.179557+0.066830
## [405] train-mlogloss:0.007917+0.000071 test-mlogloss:1.180636+0.066714
## [406] train-mlogloss:0.007887+0.000067 test-mlogloss:1.182419+0.066297
## [407] train-mlogloss:0.007852+0.000071 test-mlogloss:1.182874+0.065746
## [408] train-mlogloss:0.007817+0.000066 test-mlogloss:1.184003+0.066538
## [409] train-mlogloss:0.007789+0.000059 test-mlogloss:1.184364+0.066106
## [410] train-mlogloss:0.007751+0.000059 test-mlogloss:1.183842+0.065743
## [411] train-mlogloss:0.007720+0.000062 test-mlogloss:1.184579+0.065644
## [412] train-mlogloss:0.007679+0.000060 test-mlogloss:1.186370+0.066304
## [413] train-mlogloss:0.007647+0.000057 test-mlogloss:1.186419+0.067125
## [414] train-mlogloss:0.007617+0.000061 test-mlogloss:1.185888+0.066731
## [415] train-mlogloss:0.007591+0.000068 test-mlogloss:1.187599+0.066499
## [416] train-mlogloss:0.007553+0.000070 test-mlogloss:1.188866+0.065259
## [417] train-mlogloss:0.007522+0.000074 test-mlogloss:1.188903+0.065784
## [418] train-mlogloss:0.007492+0.000069 test-mlogloss:1.189552+0.065662
## [419] train-mlogloss:0.007458+0.000067 test-mlogloss:1.190199+0.065490
## [420] train-mlogloss:0.007430+0.000066 test-mlogloss:1.190476+0.066198
## [421] train-mlogloss:0.007401+0.000072 test-mlogloss:1.190398+0.066487
## [422] train-mlogloss:0.007375+0.000062 test-mlogloss:1.191498+0.065632
## [423] train-mlogloss:0.007344+0.000059 test-mlogloss:1.191759+0.065799
## [424] train-mlogloss:0.007315+0.000069 test-mlogloss:1.192449+0.066741
## [425] train-mlogloss:0.007284+0.000072 test-mlogloss:1.193654+0.065705
## [426] train-mlogloss:0.007251+0.000071 test-mlogloss:1.193801+0.066492
## [427] train-mlogloss:0.007221+0.000065 test-mlogloss:1.194588+0.066771
## [428] train-mlogloss:0.007197+0.000068 test-mlogloss:1.195437+0.067449
## [429] train-mlogloss:0.007172+0.000065 test-mlogloss:1.194937+0.066916
## [430] train-mlogloss:0.007144+0.000062 test-mlogloss:1.194947+0.066957
## [431] train-mlogloss:0.007112+0.000067 test-mlogloss:1.194920+0.067044
## [432] train-mlogloss:0.007079+0.000063 test-mlogloss:1.196029+0.067671
## [433] train-mlogloss:0.007048+0.000066 test-mlogloss:1.196027+0.067438
## [434] train-mlogloss:0.007023+0.000070 test-mlogloss:1.196613+0.068098
## [435] train-mlogloss:0.006995+0.000072 test-mlogloss:1.197202+0.068549
## [436] train-mlogloss:0.006965+0.000078 test-mlogloss:1.198260+0.067774
## [437] train-mlogloss:0.006938+0.000081 test-mlogloss:1.199198+0.068165
## [438] train-mlogloss:0.006907+0.000086 test-mlogloss:1.199587+0.066990
## [439] train-mlogloss:0.006882+0.000089 test-mlogloss:1.200529+0.067541
## [440] train-mlogloss:0.006859+0.000087 test-mlogloss:1.200673+0.067249
## [441] train-mlogloss:0.006828+0.000091 test-mlogloss:1.201800+0.067974
## [442] train-mlogloss:0.006804+0.000095 test-mlogloss:1.201546+0.067677
## [443] train-mlogloss:0.006775+0.000088 test-mlogloss:1.202756+0.067594
## [444] train-mlogloss:0.006752+0.000082 test-mlogloss:1.203062+0.066948
## [445] train-mlogloss:0.006726+0.000088 test-mlogloss:1.204302+0.067620
## [446] train-mlogloss:0.006698+0.000090 test-mlogloss:1.204334+0.067407
## [447] train-mlogloss:0.006669+0.000089 test-mlogloss:1.204335+0.067148
## [448] train-mlogloss:0.006647+0.000083 test-mlogloss:1.204445+0.067856
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## [450] train-mlogloss:0.006601+0.000090 test-mlogloss:1.206376+0.067945
## [451] train-mlogloss:0.006579+0.000089 test-mlogloss:1.206593+0.067975
## [452] train-mlogloss:0.006551+0.000091 test-mlogloss:1.208232+0.068350
## [453] train-mlogloss:0.006528+0.000090 test-mlogloss:1.208491+0.068303
## [454] train-mlogloss:0.006501+0.000090 test-mlogloss:1.208546+0.068845
## [455] train-mlogloss:0.006475+0.000091 test-mlogloss:1.208681+0.068459
## [456] train-mlogloss:0.006452+0.000091 test-mlogloss:1.209668+0.067808
## [457] train-mlogloss:0.006431+0.000090 test-mlogloss:1.209617+0.067924
## [458] train-mlogloss:0.006404+0.000087 test-mlogloss:1.210632+0.068721
## [459] train-mlogloss:0.006384+0.000086 test-mlogloss:1.210367+0.069081
## [460] train-mlogloss:0.006361+0.000088 test-mlogloss:1.210594+0.069798
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## [462] train-mlogloss:0.006319+0.000084 test-mlogloss:1.213641+0.069094
## [463] train-mlogloss:0.006295+0.000082 test-mlogloss:1.213297+0.070626
## [464] train-mlogloss:0.006272+0.000080 test-mlogloss:1.213872+0.069459
## [465] train-mlogloss:0.006246+0.000082 test-mlogloss:1.212878+0.068808
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## [467] train-mlogloss:0.006200+0.000083 test-mlogloss:1.214451+0.068461
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## [472] train-mlogloss:0.006092+0.000076 test-mlogloss:1.218535+0.068892
## [473] train-mlogloss:0.006071+0.000082 test-mlogloss:1.218283+0.068174
## [474] train-mlogloss:0.006052+0.000080 test-mlogloss:1.220057+0.068402
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## [477] train-mlogloss:0.005992+0.000085 test-mlogloss:1.220984+0.069776
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## [479] train-mlogloss:0.005953+0.000083 test-mlogloss:1.221359+0.070113
## [480] train-mlogloss:0.005935+0.000085 test-mlogloss:1.221547+0.069500
## [481] train-mlogloss:0.005916+0.000082 test-mlogloss:1.222754+0.069811
## [482] train-mlogloss:0.005894+0.000079 test-mlogloss:1.223260+0.069910
## [483] train-mlogloss:0.005875+0.000078 test-mlogloss:1.223288+0.069054
## [484] train-mlogloss:0.005855+0.000071 test-mlogloss:1.223428+0.069529
## [485] train-mlogloss:0.005838+0.000070 test-mlogloss:1.224739+0.069329
## [486] train-mlogloss:0.005819+0.000069 test-mlogloss:1.225803+0.068472
## [487] train-mlogloss:0.005799+0.000072 test-mlogloss:1.225933+0.067786
## [488] train-mlogloss:0.005775+0.000070 test-mlogloss:1.225852+0.067634
## [489] train-mlogloss:0.005755+0.000073 test-mlogloss:1.225757+0.068082
## [490] train-mlogloss:0.005735+0.000075 test-mlogloss:1.226987+0.068349
## [491] train-mlogloss:0.005717+0.000073 test-mlogloss:1.227171+0.068230
## [492] train-mlogloss:0.005700+0.000075 test-mlogloss:1.227528+0.069073
## [493] train-mlogloss:0.005685+0.000076 test-mlogloss:1.228318+0.069206
## [494] train-mlogloss:0.005667+0.000077 test-mlogloss:1.228865+0.068681
## [495] train-mlogloss:0.005648+0.000073 test-mlogloss:1.228377+0.068879
## [496] train-mlogloss:0.005624+0.000073 test-mlogloss:1.228667+0.068549
## [497] train-mlogloss:0.005606+0.000074 test-mlogloss:1.229536+0.069919
## [498] train-mlogloss:0.005586+0.000071 test-mlogloss:1.230500+0.069776
## [499] train-mlogloss:0.005569+0.000073 test-mlogloss:1.230628+0.070216
## [500] train-mlogloss:0.005551+0.000076 test-mlogloss:1.231739+0.069770
## [1] train-mlogloss:0.415198+0.005512 test-mlogloss:0.605081+0.004285
## [2] train-mlogloss:0.299813+0.004657 test-mlogloss:0.617185+0.009860
## [3] train-mlogloss:0.231601+0.005386 test-mlogloss:0.635198+0.011170
## [4] train-mlogloss:0.183887+0.004607 test-mlogloss:0.652587+0.015384
## [5] train-mlogloss:0.153503+0.002166 test-mlogloss:0.668403+0.015497
## [6] train-mlogloss:0.128610+0.001993 test-mlogloss:0.685952+0.017645
## [7] train-mlogloss:0.109322+0.001355 test-mlogloss:0.701627+0.018600
## [8] train-mlogloss:0.093828+0.001020 test-mlogloss:0.714903+0.020957
## [9] train-mlogloss:0.081323+0.000878 test-mlogloss:0.724903+0.021268
## [10] train-mlogloss:0.071306+0.000567 test-mlogloss:0.734233+0.022189
## [11] train-mlogloss:0.063986+0.001089 test-mlogloss:0.744939+0.022614
## [12] train-mlogloss:0.057394+0.001257 test-mlogloss:0.755905+0.024229
## [13] train-mlogloss:0.051859+0.001295 test-mlogloss:0.768579+0.022941
## [14] train-mlogloss:0.047256+0.001023 test-mlogloss:0.776374+0.023369
## [15] train-mlogloss:0.043397+0.000846 test-mlogloss:0.782928+0.026299
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## [17] train-mlogloss:0.037200+0.000526 test-mlogloss:0.798839+0.028460
## [18] train-mlogloss:0.034651+0.000482 test-mlogloss:0.803473+0.027426
## [19] train-mlogloss:0.032534+0.000460 test-mlogloss:0.809297+0.027528
## [20] train-mlogloss:0.030608+0.000440 test-mlogloss:0.815317+0.027650
## [21] train-mlogloss:0.028945+0.000473 test-mlogloss:0.819909+0.028995
## [22] train-mlogloss:0.027424+0.000409 test-mlogloss:0.826241+0.027095
## [23] train-mlogloss:0.026035+0.000370 test-mlogloss:0.831132+0.028115
## [24] train-mlogloss:0.024788+0.000274 test-mlogloss:0.836727+0.028670
## [25] train-mlogloss:0.023708+0.000269 test-mlogloss:0.843339+0.029329
## [26] train-mlogloss:0.022755+0.000214 test-mlogloss:0.846494+0.030943
## [27] train-mlogloss:0.021835+0.000213 test-mlogloss:0.850367+0.030797
## [28] train-mlogloss:0.020935+0.000161 test-mlogloss:0.856803+0.030877
## [29] train-mlogloss:0.020141+0.000141 test-mlogloss:0.860026+0.032603
## [30] train-mlogloss:0.019422+0.000082 test-mlogloss:0.863583+0.032590
## [31] train-mlogloss:0.018786+0.000102 test-mlogloss:0.868262+0.032549
## [32] train-mlogloss:0.018158+0.000133 test-mlogloss:0.871731+0.033077
## [33] train-mlogloss:0.017595+0.000114 test-mlogloss:0.874586+0.032077
## [34] train-mlogloss:0.017063+0.000102 test-mlogloss:0.877667+0.032602
## [35] train-mlogloss:0.016550+0.000105 test-mlogloss:0.880910+0.032968
## [36] train-mlogloss:0.016069+0.000086 test-mlogloss:0.884189+0.032478
## [37] train-mlogloss:0.015603+0.000079 test-mlogloss:0.885526+0.034080
## [38] train-mlogloss:0.015185+0.000094 test-mlogloss:0.888482+0.035564
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## [40] train-mlogloss:0.014413+0.000077 test-mlogloss:0.894198+0.036973
## [41] train-mlogloss:0.014057+0.000068 test-mlogloss:0.896484+0.036604
## [42] train-mlogloss:0.013724+0.000058 test-mlogloss:0.900264+0.037054
## [43] train-mlogloss:0.013430+0.000059 test-mlogloss:0.902966+0.036186
## [44] train-mlogloss:0.013126+0.000074 test-mlogloss:0.905175+0.035764
## [45] train-mlogloss:0.012857+0.000068 test-mlogloss:0.906648+0.035173
## [46] train-mlogloss:0.012584+0.000076 test-mlogloss:0.908969+0.034991
## [47] train-mlogloss:0.012330+0.000092 test-mlogloss:0.912227+0.034626
## [48] train-mlogloss:0.012081+0.000078 test-mlogloss:0.914306+0.034884
## [49] train-mlogloss:0.011831+0.000076 test-mlogloss:0.916923+0.034996
## [50] train-mlogloss:0.011618+0.000057 test-mlogloss:0.918049+0.036463
## [51] train-mlogloss:0.011411+0.000059 test-mlogloss:0.918621+0.037280
## [52] train-mlogloss:0.011211+0.000060 test-mlogloss:0.919641+0.037452
## [53] train-mlogloss:0.011008+0.000068 test-mlogloss:0.922495+0.037554
## [54] train-mlogloss:0.010819+0.000083 test-mlogloss:0.926221+0.037860
## [55] train-mlogloss:0.010635+0.000092 test-mlogloss:0.928917+0.038793
## [56] train-mlogloss:0.010466+0.000088 test-mlogloss:0.930444+0.038222
## [57] train-mlogloss:0.010295+0.000099 test-mlogloss:0.931850+0.038440
## [58] train-mlogloss:0.010129+0.000100 test-mlogloss:0.934290+0.039159
## [59] train-mlogloss:0.009971+0.000091 test-mlogloss:0.935593+0.038662
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## [64] train-mlogloss:0.009299+0.000083 test-mlogloss:0.944286+0.039158
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## [66] train-mlogloss:0.009052+0.000085 test-mlogloss:0.947978+0.038520
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## [68] train-mlogloss:0.008812+0.000073 test-mlogloss:0.951806+0.038580
## [69] train-mlogloss:0.008687+0.000068 test-mlogloss:0.953233+0.037883
## [70] train-mlogloss:0.008575+0.000067 test-mlogloss:0.956456+0.036987
## [71] train-mlogloss:0.008472+0.000067 test-mlogloss:0.956592+0.037516
## [72] train-mlogloss:0.008368+0.000060 test-mlogloss:0.958964+0.038610
## [73] train-mlogloss:0.008271+0.000057 test-mlogloss:0.960988+0.039332
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## [76] train-mlogloss:0.007999+0.000038 test-mlogloss:0.964991+0.040452
## [77] train-mlogloss:0.007903+0.000035 test-mlogloss:0.966966+0.041936
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## [79] train-mlogloss:0.007727+0.000029 test-mlogloss:0.969860+0.041693
## [80] train-mlogloss:0.007643+0.000023 test-mlogloss:0.971078+0.042115
## [81] train-mlogloss:0.007564+0.000033 test-mlogloss:0.971405+0.041612
## [82] train-mlogloss:0.007484+0.000038 test-mlogloss:0.972421+0.041949
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## [86] train-mlogloss:0.007200+0.000039 test-mlogloss:0.978401+0.041315
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## [93] train-mlogloss:0.006758+0.000038 test-mlogloss:0.985471+0.040889
## [94] train-mlogloss:0.006697+0.000035 test-mlogloss:0.986700+0.040984
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## [96] train-mlogloss:0.006581+0.000029 test-mlogloss:0.989045+0.040911
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## [163] train-mlogloss:0.004384+0.000035 test-mlogloss:1.051315+0.044154
## [164] train-mlogloss:0.004361+0.000034 test-mlogloss:1.052815+0.043840
## [165] train-mlogloss:0.004339+0.000035 test-mlogloss:1.052295+0.043644
## [166] train-mlogloss:0.004321+0.000036 test-mlogloss:1.052948+0.044452
## [167] train-mlogloss:0.004301+0.000036 test-mlogloss:1.054493+0.044764
## [168] train-mlogloss:0.004284+0.000034 test-mlogloss:1.054857+0.043665
## [169] train-mlogloss:0.004266+0.000034 test-mlogloss:1.055643+0.044140
## [170] train-mlogloss:0.004246+0.000035 test-mlogloss:1.056519+0.044654
## [171] train-mlogloss:0.004229+0.000035 test-mlogloss:1.056897+0.044480
## [172] train-mlogloss:0.004211+0.000036 test-mlogloss:1.057546+0.043967
## [173] train-mlogloss:0.004196+0.000037 test-mlogloss:1.058110+0.043474
## [174] train-mlogloss:0.004181+0.000038 test-mlogloss:1.058867+0.042382
## [175] train-mlogloss:0.004165+0.000039 test-mlogloss:1.059886+0.043222
## [176] train-mlogloss:0.004149+0.000040 test-mlogloss:1.059598+0.042765
## [177] train-mlogloss:0.004132+0.000039 test-mlogloss:1.059552+0.043858
## [178] train-mlogloss:0.004115+0.000038 test-mlogloss:1.060412+0.043507
## [179] train-mlogloss:0.004097+0.000037 test-mlogloss:1.061260+0.043063
## [180] train-mlogloss:0.004081+0.000036 test-mlogloss:1.061602+0.043556
## [181] train-mlogloss:0.004066+0.000037 test-mlogloss:1.062963+0.043416
## [182] train-mlogloss:0.004051+0.000035 test-mlogloss:1.063800+0.043334
## [183] train-mlogloss:0.004034+0.000036 test-mlogloss:1.063972+0.043953
## [184] train-mlogloss:0.004018+0.000036 test-mlogloss:1.063938+0.044016
## [185] train-mlogloss:0.004000+0.000035 test-mlogloss:1.065382+0.043906
## [186] train-mlogloss:0.003984+0.000034 test-mlogloss:1.066987+0.043768
## [187] train-mlogloss:0.003970+0.000035 test-mlogloss:1.067371+0.043119
## [188] train-mlogloss:0.003954+0.000035 test-mlogloss:1.067343+0.043579
## [189] train-mlogloss:0.003940+0.000033 test-mlogloss:1.068489+0.043636
## [190] train-mlogloss:0.003926+0.000034 test-mlogloss:1.069567+0.044082
## [191] train-mlogloss:0.003909+0.000034 test-mlogloss:1.069401+0.044660
## [192] train-mlogloss:0.003893+0.000033 test-mlogloss:1.069795+0.044861
## [193] train-mlogloss:0.003877+0.000032 test-mlogloss:1.070814+0.044922
## [194] train-mlogloss:0.003863+0.000034 test-mlogloss:1.071496+0.044895
## [195] train-mlogloss:0.003850+0.000032 test-mlogloss:1.071703+0.044537
## [196] train-mlogloss:0.003837+0.000034 test-mlogloss:1.072055+0.044364
## [197] train-mlogloss:0.003825+0.000031 test-mlogloss:1.072126+0.043914
## [198] train-mlogloss:0.003812+0.000033 test-mlogloss:1.073236+0.043782
## [199] train-mlogloss:0.003799+0.000032 test-mlogloss:1.072878+0.043859
## [200] train-mlogloss:0.003785+0.000032 test-mlogloss:1.073072+0.044582
## [201] train-mlogloss:0.003773+0.000033 test-mlogloss:1.074068+0.044415
## [202] train-mlogloss:0.003760+0.000033 test-mlogloss:1.074928+0.044683
## [203] train-mlogloss:0.003749+0.000034 test-mlogloss:1.075399+0.044471
## [204] train-mlogloss:0.003737+0.000033 test-mlogloss:1.076857+0.044605
## [205] train-mlogloss:0.003723+0.000035 test-mlogloss:1.077351+0.044890
## [206] train-mlogloss:0.003710+0.000035 test-mlogloss:1.077278+0.044449
## [207] train-mlogloss:0.003698+0.000033 test-mlogloss:1.077699+0.044450
## [208] train-mlogloss:0.003684+0.000032 test-mlogloss:1.078054+0.044235
## [209] train-mlogloss:0.003672+0.000034 test-mlogloss:1.078402+0.044341
## [210] train-mlogloss:0.003660+0.000035 test-mlogloss:1.078894+0.044539
## [211] train-mlogloss:0.003648+0.000035 test-mlogloss:1.079471+0.044619
## [212] train-mlogloss:0.003635+0.000034 test-mlogloss:1.079791+0.044648
## [213] train-mlogloss:0.003624+0.000035 test-mlogloss:1.080527+0.044900
## [214] train-mlogloss:0.003611+0.000034 test-mlogloss:1.080222+0.044387
## [215] train-mlogloss:0.003598+0.000034 test-mlogloss:1.081089+0.044541
## [216] train-mlogloss:0.003589+0.000034 test-mlogloss:1.080857+0.043715
## [217] train-mlogloss:0.003579+0.000035 test-mlogloss:1.081493+0.043603
## [218] train-mlogloss:0.003567+0.000034 test-mlogloss:1.082353+0.042708
## [219] train-mlogloss:0.003555+0.000033 test-mlogloss:1.083237+0.042577
## [220] train-mlogloss:0.003542+0.000033 test-mlogloss:1.084630+0.043474
## [221] train-mlogloss:0.003533+0.000033 test-mlogloss:1.084431+0.044653
## [222] train-mlogloss:0.003522+0.000033 test-mlogloss:1.084721+0.044795
## [223] train-mlogloss:0.003511+0.000032 test-mlogloss:1.083909+0.045050
## [224] train-mlogloss:0.003501+0.000033 test-mlogloss:1.084974+0.045002
## [225] train-mlogloss:0.003491+0.000032 test-mlogloss:1.085212+0.044512
## [226] train-mlogloss:0.003480+0.000032 test-mlogloss:1.085418+0.044807
## [227] train-mlogloss:0.003469+0.000032 test-mlogloss:1.084640+0.044830
## [228] train-mlogloss:0.003460+0.000033 test-mlogloss:1.085762+0.045404
## [229] train-mlogloss:0.003450+0.000033 test-mlogloss:1.086396+0.045748
## [230] train-mlogloss:0.003441+0.000032 test-mlogloss:1.086573+0.045353
## [231] train-mlogloss:0.003430+0.000030 test-mlogloss:1.086960+0.046087
## [232] train-mlogloss:0.003419+0.000030 test-mlogloss:1.088299+0.045643
## [233] train-mlogloss:0.003410+0.000030 test-mlogloss:1.089345+0.045404
## [234] train-mlogloss:0.003400+0.000030 test-mlogloss:1.089133+0.045555
## [235] train-mlogloss:0.003392+0.000029 test-mlogloss:1.089449+0.045682
## [236] train-mlogloss:0.003381+0.000029 test-mlogloss:1.090722+0.045570
## [237] train-mlogloss:0.003371+0.000029 test-mlogloss:1.090809+0.045918
## [238] train-mlogloss:0.003361+0.000028 test-mlogloss:1.091786+0.045522
## [239] train-mlogloss:0.003353+0.000029 test-mlogloss:1.093090+0.045014
## [240] train-mlogloss:0.003343+0.000028 test-mlogloss:1.093304+0.045061
## [241] train-mlogloss:0.003333+0.000028 test-mlogloss:1.093954+0.044487
## [242] train-mlogloss:0.003323+0.000028 test-mlogloss:1.095002+0.044531
## [243] train-mlogloss:0.003315+0.000027 test-mlogloss:1.095138+0.044989
## [244] train-mlogloss:0.003306+0.000027 test-mlogloss:1.095549+0.045240
## [245] train-mlogloss:0.003296+0.000027 test-mlogloss:1.096371+0.044856
## [246] train-mlogloss:0.003288+0.000027 test-mlogloss:1.097117+0.044823
## [247] train-mlogloss:0.003280+0.000028 test-mlogloss:1.097578+0.044805
## [248] train-mlogloss:0.003272+0.000028 test-mlogloss:1.098326+0.044971
## [249] train-mlogloss:0.003263+0.000026 test-mlogloss:1.098999+0.044103
## [250] train-mlogloss:0.003255+0.000027 test-mlogloss:1.099752+0.044195
## [251] train-mlogloss:0.003247+0.000027 test-mlogloss:1.100628+0.044656
## [252] train-mlogloss:0.003236+0.000026 test-mlogloss:1.100052+0.044791
## [253] train-mlogloss:0.003228+0.000026 test-mlogloss:1.099792+0.044321
## [254] train-mlogloss:0.003220+0.000027 test-mlogloss:1.100512+0.044657
## [255] train-mlogloss:0.003212+0.000027 test-mlogloss:1.101452+0.044271
## [256] train-mlogloss:0.003202+0.000028 test-mlogloss:1.101054+0.044691
## [257] train-mlogloss:0.003193+0.000027 test-mlogloss:1.101503+0.045034
## [258] train-mlogloss:0.003185+0.000027 test-mlogloss:1.101701+0.045214
## [259] train-mlogloss:0.003178+0.000028 test-mlogloss:1.102271+0.045656
## [260] train-mlogloss:0.003169+0.000029 test-mlogloss:1.102665+0.045093
## [261] train-mlogloss:0.003160+0.000028 test-mlogloss:1.102375+0.045373
## [262] train-mlogloss:0.003153+0.000029 test-mlogloss:1.103490+0.045831
## [263] train-mlogloss:0.003147+0.000029 test-mlogloss:1.103945+0.045907
## [264] train-mlogloss:0.003139+0.000029 test-mlogloss:1.104328+0.046559
## [265] train-mlogloss:0.003131+0.000029 test-mlogloss:1.104786+0.046538
## [266] train-mlogloss:0.003124+0.000030 test-mlogloss:1.105310+0.046683
## [267] train-mlogloss:0.003116+0.000029 test-mlogloss:1.105769+0.046113
## [268] train-mlogloss:0.003109+0.000029 test-mlogloss:1.106054+0.045929
## [269] train-mlogloss:0.003101+0.000028 test-mlogloss:1.106262+0.046287
## [270] train-mlogloss:0.003094+0.000028 test-mlogloss:1.107128+0.046000
## [271] train-mlogloss:0.003086+0.000028 test-mlogloss:1.106716+0.046553
## [272] train-mlogloss:0.003077+0.000027 test-mlogloss:1.107463+0.046266
## [273] train-mlogloss:0.003070+0.000027 test-mlogloss:1.107553+0.046175
## [274] train-mlogloss:0.003063+0.000028 test-mlogloss:1.107864+0.046344
## [275] train-mlogloss:0.003056+0.000027 test-mlogloss:1.108526+0.046799
## [276] train-mlogloss:0.003049+0.000027 test-mlogloss:1.108953+0.047014
## [277] train-mlogloss:0.003042+0.000026 test-mlogloss:1.110254+0.046560
## [278] train-mlogloss:0.003035+0.000026 test-mlogloss:1.110849+0.047333
## [279] train-mlogloss:0.003027+0.000025 test-mlogloss:1.110498+0.046862
## [280] train-mlogloss:0.003019+0.000025 test-mlogloss:1.110068+0.046780
## [281] train-mlogloss:0.003012+0.000024 test-mlogloss:1.110394+0.047249
## [282] train-mlogloss:0.003006+0.000024 test-mlogloss:1.110822+0.048234
## [283] train-mlogloss:0.002999+0.000024 test-mlogloss:1.111094+0.048494
## [284] train-mlogloss:0.002993+0.000024 test-mlogloss:1.110534+0.047842
## [285] train-mlogloss:0.002988+0.000025 test-mlogloss:1.111049+0.048147
## [286] train-mlogloss:0.002980+0.000024 test-mlogloss:1.111586+0.047675
## [287] train-mlogloss:0.002971+0.000024 test-mlogloss:1.111896+0.046947
## [288] train-mlogloss:0.002963+0.000024 test-mlogloss:1.113111+0.047658
## [289] train-mlogloss:0.002958+0.000023 test-mlogloss:1.113461+0.047899
## [290] train-mlogloss:0.002951+0.000024 test-mlogloss:1.113747+0.047485
## [291] train-mlogloss:0.002945+0.000024 test-mlogloss:1.114143+0.047503
## [292] train-mlogloss:0.002938+0.000024 test-mlogloss:1.114175+0.047436
## [293] train-mlogloss:0.002932+0.000025 test-mlogloss:1.114720+0.047148
## [294] train-mlogloss:0.002925+0.000024 test-mlogloss:1.114994+0.046723
## [295] train-mlogloss:0.002918+0.000024 test-mlogloss:1.115259+0.046853
## [296] train-mlogloss:0.002911+0.000025 test-mlogloss:1.115445+0.046643
## [297] train-mlogloss:0.002905+0.000024 test-mlogloss:1.115580+0.046843
## [298] train-mlogloss:0.002898+0.000024 test-mlogloss:1.115831+0.047197
## [299] train-mlogloss:0.002891+0.000024 test-mlogloss:1.115990+0.047721
## [300] train-mlogloss:0.002886+0.000025 test-mlogloss:1.117059+0.047487
## [301] train-mlogloss:0.002880+0.000025 test-mlogloss:1.117484+0.047455
## [302] train-mlogloss:0.002874+0.000025 test-mlogloss:1.117370+0.047632
## [303] train-mlogloss:0.002869+0.000024 test-mlogloss:1.117255+0.047414
## [304] train-mlogloss:0.002863+0.000023 test-mlogloss:1.117263+0.047027
## [305] train-mlogloss:0.002856+0.000023 test-mlogloss:1.117204+0.047479
## [306] train-mlogloss:0.002851+0.000023 test-mlogloss:1.118506+0.047267
## [307] train-mlogloss:0.002843+0.000023 test-mlogloss:1.119478+0.046873
## [308] train-mlogloss:0.002838+0.000023 test-mlogloss:1.119714+0.047213
## [309] train-mlogloss:0.002832+0.000022 test-mlogloss:1.120161+0.047230
## [310] train-mlogloss:0.002827+0.000023 test-mlogloss:1.120761+0.047570
## [311] train-mlogloss:0.002821+0.000022 test-mlogloss:1.120789+0.047697
## [312] train-mlogloss:0.002815+0.000023 test-mlogloss:1.121056+0.047493
## [313] train-mlogloss:0.002810+0.000023 test-mlogloss:1.121302+0.046979
## [314] train-mlogloss:0.002805+0.000023 test-mlogloss:1.122175+0.047451
## [315] train-mlogloss:0.002799+0.000022 test-mlogloss:1.122760+0.047591
## [316] train-mlogloss:0.002795+0.000021 test-mlogloss:1.122601+0.047191
## [317] train-mlogloss:0.002789+0.000021 test-mlogloss:1.122977+0.046985
## [318] train-mlogloss:0.002783+0.000020 test-mlogloss:1.123822+0.046590
## [319] train-mlogloss:0.002777+0.000020 test-mlogloss:1.124028+0.047060
## [320] train-mlogloss:0.002772+0.000019 test-mlogloss:1.124942+0.047350
## [321] train-mlogloss:0.002766+0.000019 test-mlogloss:1.125072+0.046730
## [322] train-mlogloss:0.002761+0.000019 test-mlogloss:1.125706+0.047591
## [323] train-mlogloss:0.002756+0.000019 test-mlogloss:1.126129+0.048077
## [324] train-mlogloss:0.002750+0.000018 test-mlogloss:1.126019+0.047723
## [325] train-mlogloss:0.002745+0.000019 test-mlogloss:1.125760+0.047686
## [326] train-mlogloss:0.002740+0.000019 test-mlogloss:1.126669+0.046866
## [327] train-mlogloss:0.002735+0.000017 test-mlogloss:1.126966+0.046557
## [328] train-mlogloss:0.002729+0.000018 test-mlogloss:1.127784+0.047347
## [329] train-mlogloss:0.002723+0.000019 test-mlogloss:1.127473+0.046993
## [330] train-mlogloss:0.002718+0.000020 test-mlogloss:1.127769+0.046781
## [331] train-mlogloss:0.002713+0.000020 test-mlogloss:1.127376+0.046211
## [332] train-mlogloss:0.002707+0.000019 test-mlogloss:1.128277+0.046275
## [333] train-mlogloss:0.002702+0.000019 test-mlogloss:1.128261+0.046176
## [334] train-mlogloss:0.002697+0.000019 test-mlogloss:1.128678+0.046535
## [335] train-mlogloss:0.002692+0.000018 test-mlogloss:1.128893+0.046710
## [336] train-mlogloss:0.002686+0.000018 test-mlogloss:1.129127+0.047648
## [337] train-mlogloss:0.002681+0.000018 test-mlogloss:1.129219+0.048231
## [338] train-mlogloss:0.002677+0.000018 test-mlogloss:1.129202+0.048355
## [339] train-mlogloss:0.002672+0.000018 test-mlogloss:1.129533+0.048161
## [340] train-mlogloss:0.002666+0.000017 test-mlogloss:1.130021+0.047898
## [341] train-mlogloss:0.002661+0.000017 test-mlogloss:1.130300+0.046977
## [342] train-mlogloss:0.002656+0.000017 test-mlogloss:1.131029+0.047758
## [343] train-mlogloss:0.002651+0.000017 test-mlogloss:1.131744+0.047410
## [344] train-mlogloss:0.002646+0.000017 test-mlogloss:1.130862+0.047796
## [345] train-mlogloss:0.002641+0.000017 test-mlogloss:1.132059+0.047586
## [346] train-mlogloss:0.002637+0.000017 test-mlogloss:1.132740+0.048340
## [347] train-mlogloss:0.002632+0.000017 test-mlogloss:1.132732+0.048120
## [348] train-mlogloss:0.002627+0.000016 test-mlogloss:1.133033+0.048313
## [349] train-mlogloss:0.002623+0.000016 test-mlogloss:1.133452+0.048829
## [350] train-mlogloss:0.002617+0.000016 test-mlogloss:1.133656+0.048775
## [351] train-mlogloss:0.002612+0.000015 test-mlogloss:1.134193+0.048343
## [352] train-mlogloss:0.002607+0.000016 test-mlogloss:1.134482+0.047825
## [353] train-mlogloss:0.002602+0.000016 test-mlogloss:1.134757+0.047541
## [354] train-mlogloss:0.002597+0.000016 test-mlogloss:1.135066+0.047939
## [355] train-mlogloss:0.002592+0.000015 test-mlogloss:1.134815+0.048139
## [356] train-mlogloss:0.002587+0.000015 test-mlogloss:1.135030+0.046960
## [357] train-mlogloss:0.002584+0.000015 test-mlogloss:1.135708+0.047827
## [358] train-mlogloss:0.002579+0.000015 test-mlogloss:1.135744+0.047027
## [359] train-mlogloss:0.002574+0.000015 test-mlogloss:1.136349+0.048134
## [360] train-mlogloss:0.002569+0.000016 test-mlogloss:1.137108+0.047739
## [361] train-mlogloss:0.002565+0.000016 test-mlogloss:1.136486+0.047619
## [362] train-mlogloss:0.002561+0.000015 test-mlogloss:1.138004+0.047501
## [363] train-mlogloss:0.002557+0.000016 test-mlogloss:1.137637+0.047359
## [364] train-mlogloss:0.002552+0.000017 test-mlogloss:1.138193+0.047893
## [365] train-mlogloss:0.002548+0.000016 test-mlogloss:1.138840+0.048163
## [366] train-mlogloss:0.002544+0.000016 test-mlogloss:1.139426+0.048815
## [367] train-mlogloss:0.002540+0.000017 test-mlogloss:1.139374+0.049020
## [368] train-mlogloss:0.002536+0.000017 test-mlogloss:1.139690+0.048573
## [369] train-mlogloss:0.002531+0.000017 test-mlogloss:1.139964+0.048477
## [370] train-mlogloss:0.002527+0.000018 test-mlogloss:1.140373+0.048756
## [371] train-mlogloss:0.002524+0.000018 test-mlogloss:1.140573+0.048719
## [372] train-mlogloss:0.002520+0.000018 test-mlogloss:1.141216+0.048297
## [373] train-mlogloss:0.002515+0.000019 test-mlogloss:1.141104+0.049033
## [374] train-mlogloss:0.002510+0.000019 test-mlogloss:1.141544+0.049103
## [375] train-mlogloss:0.002506+0.000020 test-mlogloss:1.141747+0.048865
## [376] train-mlogloss:0.002502+0.000019 test-mlogloss:1.142355+0.048471
## [377] train-mlogloss:0.002498+0.000019 test-mlogloss:1.141717+0.048760
## [378] train-mlogloss:0.002495+0.000019 test-mlogloss:1.141992+0.048533
## [379] train-mlogloss:0.002490+0.000019 test-mlogloss:1.142283+0.048376
## [380] train-mlogloss:0.002485+0.000019 test-mlogloss:1.142677+0.048718
## [381] train-mlogloss:0.002481+0.000018 test-mlogloss:1.143540+0.048432
## [382] train-mlogloss:0.002478+0.000019 test-mlogloss:1.143797+0.048988
## [383] train-mlogloss:0.002474+0.000019 test-mlogloss:1.144706+0.049690
## [384] train-mlogloss:0.002470+0.000018 test-mlogloss:1.144822+0.049456
## [385] train-mlogloss:0.002466+0.000018 test-mlogloss:1.144388+0.049056
## [386] train-mlogloss:0.002462+0.000019 test-mlogloss:1.144740+0.048167
## [387] train-mlogloss:0.002458+0.000019 test-mlogloss:1.145003+0.048835
## [388] train-mlogloss:0.002453+0.000018 test-mlogloss:1.146017+0.049294
## [389] train-mlogloss:0.002450+0.000019 test-mlogloss:1.145557+0.049110
## [390] train-mlogloss:0.002447+0.000019 test-mlogloss:1.145699+0.048866
## [391] train-mlogloss:0.002443+0.000018 test-mlogloss:1.146199+0.048387
## [392] train-mlogloss:0.002438+0.000018 test-mlogloss:1.146139+0.048616
## [393] train-mlogloss:0.002436+0.000018 test-mlogloss:1.146375+0.048034
## [394] train-mlogloss:0.002433+0.000017 test-mlogloss:1.146857+0.048686
## [395] train-mlogloss:0.002429+0.000017 test-mlogloss:1.147341+0.048467
## [396] train-mlogloss:0.002425+0.000017 test-mlogloss:1.147151+0.048556
## [397] train-mlogloss:0.002422+0.000017 test-mlogloss:1.147430+0.048607
## [398] train-mlogloss:0.002418+0.000017 test-mlogloss:1.146681+0.048896
## [399] train-mlogloss:0.002413+0.000017 test-mlogloss:1.147110+0.049414
## [400] train-mlogloss:0.002409+0.000016 test-mlogloss:1.147367+0.049616
## [401] train-mlogloss:0.002406+0.000016 test-mlogloss:1.147828+0.049235
## [402] train-mlogloss:0.002402+0.000017 test-mlogloss:1.148232+0.049188
## [403] train-mlogloss:0.002399+0.000016 test-mlogloss:1.148089+0.049250
## [404] train-mlogloss:0.002395+0.000016 test-mlogloss:1.148051+0.049071
## [405] train-mlogloss:0.002392+0.000016 test-mlogloss:1.148275+0.049255
## [406] train-mlogloss:0.002388+0.000015 test-mlogloss:1.148644+0.048339
## [407] train-mlogloss:0.002384+0.000014 test-mlogloss:1.149024+0.048555
## [408] train-mlogloss:0.002381+0.000014 test-mlogloss:1.149779+0.048889
## [409] train-mlogloss:0.002378+0.000014 test-mlogloss:1.150059+0.049542
## [410] train-mlogloss:0.002376+0.000014 test-mlogloss:1.150350+0.049585
## [411] train-mlogloss:0.002372+0.000014 test-mlogloss:1.150621+0.049917
## [412] train-mlogloss:0.002368+0.000014 test-mlogloss:1.151046+0.050622
## [413] train-mlogloss:0.002364+0.000013 test-mlogloss:1.151688+0.050322
## [414] train-mlogloss:0.002360+0.000013 test-mlogloss:1.151609+0.049727
## [415] train-mlogloss:0.002357+0.000013 test-mlogloss:1.152337+0.049459
## [416] train-mlogloss:0.002353+0.000013 test-mlogloss:1.152779+0.049501
## [417] train-mlogloss:0.002349+0.000013 test-mlogloss:1.152575+0.050206
## [418] train-mlogloss:0.002345+0.000013 test-mlogloss:1.153082+0.050877
## [419] train-mlogloss:0.002342+0.000013 test-mlogloss:1.152475+0.050374
## [420] train-mlogloss:0.002340+0.000013 test-mlogloss:1.153066+0.050518
## [421] train-mlogloss:0.002337+0.000014 test-mlogloss:1.152953+0.050864
## [422] train-mlogloss:0.002333+0.000014 test-mlogloss:1.153096+0.050363
## [423] train-mlogloss:0.002330+0.000014 test-mlogloss:1.154000+0.049938
## [424] train-mlogloss:0.002327+0.000014 test-mlogloss:1.153432+0.049601
## [425] train-mlogloss:0.002324+0.000015 test-mlogloss:1.153172+0.050157
## [426] train-mlogloss:0.002319+0.000014 test-mlogloss:1.153312+0.050189
## [427] train-mlogloss:0.002316+0.000014 test-mlogloss:1.154017+0.050163
## [428] train-mlogloss:0.002313+0.000015 test-mlogloss:1.154730+0.050255
## [429] train-mlogloss:0.002309+0.000015 test-mlogloss:1.154425+0.050584
## [430] train-mlogloss:0.002307+0.000015 test-mlogloss:1.153976+0.050049
## [431] train-mlogloss:0.002303+0.000016 test-mlogloss:1.154369+0.049908
## [432] train-mlogloss:0.002301+0.000016 test-mlogloss:1.154273+0.049828
## [433] train-mlogloss:0.002297+0.000015 test-mlogloss:1.154391+0.049431
## [434] train-mlogloss:0.002293+0.000015 test-mlogloss:1.154180+0.050061
## [435] train-mlogloss:0.002290+0.000015 test-mlogloss:1.154910+0.049762
## [436] train-mlogloss:0.002287+0.000015 test-mlogloss:1.154697+0.050267
## [437] train-mlogloss:0.002284+0.000016 test-mlogloss:1.154902+0.050502
## [438] train-mlogloss:0.002281+0.000016 test-mlogloss:1.155616+0.049688
## [439] train-mlogloss:0.002279+0.000015 test-mlogloss:1.155173+0.049689
## [440] train-mlogloss:0.002275+0.000016 test-mlogloss:1.156206+0.049563
## [441] train-mlogloss:0.002272+0.000015 test-mlogloss:1.156683+0.049370
## [442] train-mlogloss:0.002269+0.000016 test-mlogloss:1.157866+0.049762
## [443] train-mlogloss:0.002266+0.000016 test-mlogloss:1.157657+0.050227
## [444] train-mlogloss:0.002264+0.000016 test-mlogloss:1.158051+0.049890
## [445] train-mlogloss:0.002261+0.000016 test-mlogloss:1.157870+0.049809
## [446] train-mlogloss:0.002257+0.000015 test-mlogloss:1.157607+0.050328
## [447] train-mlogloss:0.002254+0.000016 test-mlogloss:1.158336+0.050489
## [448] train-mlogloss:0.002252+0.000015 test-mlogloss:1.158554+0.051229
## [449] train-mlogloss:0.002249+0.000015 test-mlogloss:1.158896+0.050586
## [450] train-mlogloss:0.002246+0.000015 test-mlogloss:1.158951+0.049866
## [451] train-mlogloss:0.002243+0.000015 test-mlogloss:1.158974+0.049599
## [452] train-mlogloss:0.002241+0.000015 test-mlogloss:1.160023+0.048981
## [453] train-mlogloss:0.002238+0.000014 test-mlogloss:1.159808+0.048859
## [454] train-mlogloss:0.002235+0.000014 test-mlogloss:1.160324+0.049554
## [455] train-mlogloss:0.002232+0.000014 test-mlogloss:1.160541+0.049734
## [456] train-mlogloss:0.002229+0.000014 test-mlogloss:1.160385+0.050096
## [457] train-mlogloss:0.002225+0.000014 test-mlogloss:1.160809+0.049547
## [458] train-mlogloss:0.002223+0.000013 test-mlogloss:1.160711+0.049755
## [459] train-mlogloss:0.002220+0.000014 test-mlogloss:1.161406+0.050081
## [460] train-mlogloss:0.002217+0.000014 test-mlogloss:1.161344+0.050127
## [461] train-mlogloss:0.002214+0.000014 test-mlogloss:1.161737+0.050236
## [462] train-mlogloss:0.002211+0.000014 test-mlogloss:1.161500+0.050134
## [463] train-mlogloss:0.002207+0.000014 test-mlogloss:1.162097+0.050855
## [464] train-mlogloss:0.002205+0.000015 test-mlogloss:1.163072+0.051044
## [465] train-mlogloss:0.002202+0.000015 test-mlogloss:1.163456+0.050921
## [466] train-mlogloss:0.002198+0.000015 test-mlogloss:1.163021+0.051163
## [467] train-mlogloss:0.002196+0.000016 test-mlogloss:1.163320+0.051129
## [468] train-mlogloss:0.002193+0.000016 test-mlogloss:1.163970+0.051474
## [469] train-mlogloss:0.002191+0.000015 test-mlogloss:1.163499+0.051283
## [470] train-mlogloss:0.002188+0.000015 test-mlogloss:1.163945+0.051320
## [471] train-mlogloss:0.002186+0.000016 test-mlogloss:1.164476+0.051745
## [472] train-mlogloss:0.002183+0.000015 test-mlogloss:1.164596+0.051590
## [473] train-mlogloss:0.002180+0.000015 test-mlogloss:1.164426+0.051598
## [474] train-mlogloss:0.002177+0.000015 test-mlogloss:1.165169+0.051558
## [475] train-mlogloss:0.002175+0.000014 test-mlogloss:1.165465+0.051810
## [476] train-mlogloss:0.002172+0.000014 test-mlogloss:1.165576+0.052291
## [477] train-mlogloss:0.002169+0.000015 test-mlogloss:1.165669+0.052753
## [478] train-mlogloss:0.002166+0.000014 test-mlogloss:1.166218+0.052311
## [479] train-mlogloss:0.002165+0.000014 test-mlogloss:1.166568+0.052761
## [480] train-mlogloss:0.002162+0.000014 test-mlogloss:1.166829+0.052098
## [481] train-mlogloss:0.002160+0.000015 test-mlogloss:1.167264+0.052217
## [482] train-mlogloss:0.002158+0.000014 test-mlogloss:1.167384+0.051869
## [483] train-mlogloss:0.002155+0.000014 test-mlogloss:1.167774+0.052124
## [484] train-mlogloss:0.002152+0.000014 test-mlogloss:1.167639+0.051360
## [485] train-mlogloss:0.002150+0.000014 test-mlogloss:1.167215+0.050721
## [486] train-mlogloss:0.002147+0.000014 test-mlogloss:1.167543+0.051990
## [487] train-mlogloss:0.002145+0.000014 test-mlogloss:1.168389+0.051461
## [488] train-mlogloss:0.002143+0.000014 test-mlogloss:1.168280+0.050977
## [489] train-mlogloss:0.002140+0.000014 test-mlogloss:1.167964+0.050821
## [490] train-mlogloss:0.002137+0.000015 test-mlogloss:1.167939+0.051285
## [491] train-mlogloss:0.002135+0.000015 test-mlogloss:1.168049+0.051220
## [492] train-mlogloss:0.002133+0.000014 test-mlogloss:1.168651+0.051329
## [493] train-mlogloss:0.002130+0.000014 test-mlogloss:1.168513+0.051073
## [494] train-mlogloss:0.002128+0.000014 test-mlogloss:1.168691+0.051526
## [495] train-mlogloss:0.002125+0.000014 test-mlogloss:1.168647+0.050981
## [496] train-mlogloss:0.002122+0.000014 test-mlogloss:1.168563+0.050510
## [497] train-mlogloss:0.002120+0.000014 test-mlogloss:1.168879+0.050818
## [498] train-mlogloss:0.002118+0.000014 test-mlogloss:1.169506+0.051169
## [499] train-mlogloss:0.002115+0.000014 test-mlogloss:1.169908+0.050914
## [500] train-mlogloss:0.002112+0.000014 test-mlogloss:1.169967+0.050871
## [1] train-mlogloss:0.525688+0.002554 test-mlogloss:0.547226+0.005344
## [2] train-mlogloss:0.505379+0.002371 test-mlogloss:0.544368+0.006651
## [3] train-mlogloss:0.495348+0.001560 test-mlogloss:0.548816+0.007648
## [4] train-mlogloss:0.484068+0.002149 test-mlogloss:0.556088+0.005601
## [5] train-mlogloss:0.475594+0.002482 test-mlogloss:0.562138+0.006922
## [6] train-mlogloss:0.466014+0.001704 test-mlogloss:0.566869+0.009922
## [7] train-mlogloss:0.457000+0.001660 test-mlogloss:0.571511+0.010705
## [8] train-mlogloss:0.448903+0.002265 test-mlogloss:0.577294+0.011316
## [9] train-mlogloss:0.440628+0.002855 test-mlogloss:0.581677+0.009673
## [10] train-mlogloss:0.431810+0.003694 test-mlogloss:0.588463+0.010062
## [11] train-mlogloss:0.424846+0.003805 test-mlogloss:0.591291+0.010811
## [12] train-mlogloss:0.416856+0.003309 test-mlogloss:0.595572+0.010655
## [13] train-mlogloss:0.409983+0.002988 test-mlogloss:0.600018+0.009414
## [14] train-mlogloss:0.402304+0.003374 test-mlogloss:0.606725+0.008808
## [15] train-mlogloss:0.395023+0.004613 test-mlogloss:0.610801+0.008978
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## [17] train-mlogloss:0.381434+0.004957 test-mlogloss:0.621554+0.012015
## [18] train-mlogloss:0.375826+0.005138 test-mlogloss:0.625072+0.011937
## [19] train-mlogloss:0.368449+0.005075 test-mlogloss:0.630264+0.013140
## [20] train-mlogloss:0.361455+0.005173 test-mlogloss:0.634828+0.012456
## [21] train-mlogloss:0.355379+0.004671 test-mlogloss:0.641335+0.010942
## [22] train-mlogloss:0.349669+0.005122 test-mlogloss:0.644987+0.010016
## [23] train-mlogloss:0.343672+0.004934 test-mlogloss:0.649484+0.012789
## [24] train-mlogloss:0.337894+0.004848 test-mlogloss:0.653870+0.013864
## [25] train-mlogloss:0.331810+0.005110 test-mlogloss:0.658816+0.012672
## [26] train-mlogloss:0.325761+0.004730 test-mlogloss:0.662635+0.013063
## [27] train-mlogloss:0.319744+0.005435 test-mlogloss:0.670606+0.014390
## [28] train-mlogloss:0.314114+0.005649 test-mlogloss:0.672214+0.014859
## [29] train-mlogloss:0.308235+0.005793 test-mlogloss:0.677664+0.016534
## [30] train-mlogloss:0.301909+0.004941 test-mlogloss:0.682427+0.017332
## [31] train-mlogloss:0.295782+0.006047 test-mlogloss:0.686189+0.016369
## [32] train-mlogloss:0.289666+0.005832 test-mlogloss:0.689534+0.018184
## [33] train-mlogloss:0.284640+0.005357 test-mlogloss:0.689677+0.017077
## [34] train-mlogloss:0.278904+0.005777 test-mlogloss:0.694431+0.017886
## [35] train-mlogloss:0.274095+0.005960 test-mlogloss:0.699241+0.016371
## [36] train-mlogloss:0.268989+0.006323 test-mlogloss:0.702190+0.016215
## [37] train-mlogloss:0.264704+0.006692 test-mlogloss:0.706818+0.017288
## [38] train-mlogloss:0.260432+0.006621 test-mlogloss:0.711727+0.018525
## [39] train-mlogloss:0.256274+0.006040 test-mlogloss:0.712661+0.018261
## [40] train-mlogloss:0.251940+0.005592 test-mlogloss:0.714126+0.017230
## [41] train-mlogloss:0.247202+0.006286 test-mlogloss:0.716315+0.018678
## [42] train-mlogloss:0.242847+0.006584 test-mlogloss:0.721162+0.018404
## [43] train-mlogloss:0.237642+0.006274 test-mlogloss:0.726425+0.018685
## [44] train-mlogloss:0.232461+0.006313 test-mlogloss:0.730533+0.019678
## [45] train-mlogloss:0.228094+0.006593 test-mlogloss:0.733034+0.016247
## [46] train-mlogloss:0.223425+0.006626 test-mlogloss:0.737965+0.017910
## [47] train-mlogloss:0.219448+0.006421 test-mlogloss:0.742868+0.020056
## [48] train-mlogloss:0.215414+0.005958 test-mlogloss:0.744671+0.018905
## [49] train-mlogloss:0.211349+0.006176 test-mlogloss:0.750005+0.019965
## [50] train-mlogloss:0.207507+0.005562 test-mlogloss:0.751573+0.020958
## [51] train-mlogloss:0.203204+0.005799 test-mlogloss:0.756842+0.022152
## [52] train-mlogloss:0.199574+0.005336 test-mlogloss:0.756967+0.022659
## [53] train-mlogloss:0.195702+0.005136 test-mlogloss:0.760002+0.021250
## [54] train-mlogloss:0.191813+0.005227 test-mlogloss:0.764500+0.020113
## [55] train-mlogloss:0.188400+0.005045 test-mlogloss:0.770633+0.019864
## [56] train-mlogloss:0.183792+0.005413 test-mlogloss:0.773244+0.019352
## [57] train-mlogloss:0.179659+0.005185 test-mlogloss:0.776706+0.020192
## [58] train-mlogloss:0.176111+0.005145 test-mlogloss:0.782315+0.019824
## [59] train-mlogloss:0.173004+0.005199 test-mlogloss:0.784768+0.017674
## [60] train-mlogloss:0.170460+0.005598 test-mlogloss:0.788270+0.015586
## [61] train-mlogloss:0.167607+0.005732 test-mlogloss:0.791352+0.016717
## [62] train-mlogloss:0.164359+0.005615 test-mlogloss:0.793836+0.016600
## [63] train-mlogloss:0.161275+0.005393 test-mlogloss:0.797390+0.016377
## [64] train-mlogloss:0.158325+0.005087 test-mlogloss:0.799089+0.018267
## [65] train-mlogloss:0.155234+0.005341 test-mlogloss:0.802790+0.016023
## [66] train-mlogloss:0.152781+0.005556 test-mlogloss:0.808061+0.015743
## [67] train-mlogloss:0.149996+0.005484 test-mlogloss:0.810190+0.016447
## [68] train-mlogloss:0.147364+0.005307 test-mlogloss:0.811946+0.017520
## [69] train-mlogloss:0.144907+0.005437 test-mlogloss:0.815126+0.016492
## [70] train-mlogloss:0.142300+0.005506 test-mlogloss:0.819539+0.018490
## [71] train-mlogloss:0.139814+0.005398 test-mlogloss:0.824598+0.019689
## [72] train-mlogloss:0.137251+0.005181 test-mlogloss:0.825532+0.019585
## [73] train-mlogloss:0.133946+0.004627 test-mlogloss:0.827952+0.019312
## [74] train-mlogloss:0.131909+0.004644 test-mlogloss:0.829426+0.018778
## [75] train-mlogloss:0.129477+0.004607 test-mlogloss:0.835826+0.019600
## [76] train-mlogloss:0.126959+0.004902 test-mlogloss:0.836549+0.017818
## [77] train-mlogloss:0.124600+0.004602 test-mlogloss:0.840416+0.017910
## [78] train-mlogloss:0.122039+0.004613 test-mlogloss:0.845969+0.018489
## [79] train-mlogloss:0.119797+0.004282 test-mlogloss:0.848563+0.018369
## [80] train-mlogloss:0.117658+0.004064 test-mlogloss:0.852796+0.017258
## [81] train-mlogloss:0.114990+0.003982 test-mlogloss:0.855577+0.015018
## [82] train-mlogloss:0.112859+0.003752 test-mlogloss:0.856649+0.015739
## [83] train-mlogloss:0.110700+0.003388 test-mlogloss:0.861235+0.018225
## [84] train-mlogloss:0.108673+0.003551 test-mlogloss:0.865149+0.019959
## [85] train-mlogloss:0.106979+0.003402 test-mlogloss:0.867961+0.021022
## [86] train-mlogloss:0.105345+0.003113 test-mlogloss:0.869725+0.021821
## [87] train-mlogloss:0.103416+0.003077 test-mlogloss:0.873100+0.020612
## [88] train-mlogloss:0.101555+0.003252 test-mlogloss:0.872520+0.018898
## [89] train-mlogloss:0.099975+0.003153 test-mlogloss:0.875141+0.020291
## [90] train-mlogloss:0.098158+0.003107 test-mlogloss:0.875440+0.021707
## [91] train-mlogloss:0.096581+0.003411 test-mlogloss:0.878021+0.021395
## [92] train-mlogloss:0.094807+0.003259 test-mlogloss:0.879127+0.019703
## [93] train-mlogloss:0.093242+0.003226 test-mlogloss:0.880313+0.019988
## [94] train-mlogloss:0.091618+0.003445 test-mlogloss:0.880803+0.017545
## [95] train-mlogloss:0.090037+0.003485 test-mlogloss:0.883041+0.019690
## [96] train-mlogloss:0.088588+0.003396 test-mlogloss:0.883184+0.019092
## [97] train-mlogloss:0.087281+0.003404 test-mlogloss:0.887038+0.020173
## [98] train-mlogloss:0.085847+0.003221 test-mlogloss:0.887976+0.021604
## [99] train-mlogloss:0.084496+0.003177 test-mlogloss:0.889471+0.024709
## [100] train-mlogloss:0.082900+0.003297 test-mlogloss:0.893415+0.023716
## [101] train-mlogloss:0.081752+0.003315 test-mlogloss:0.896476+0.023648
## [102] train-mlogloss:0.080212+0.003584 test-mlogloss:0.900001+0.026670
## [103] train-mlogloss:0.078956+0.003494 test-mlogloss:0.903269+0.024504
## [104] train-mlogloss:0.077544+0.003185 test-mlogloss:0.906690+0.024554
## [105] train-mlogloss:0.076241+0.003317 test-mlogloss:0.910256+0.025310
## [106] train-mlogloss:0.074998+0.003356 test-mlogloss:0.915052+0.025249
## [107] train-mlogloss:0.073757+0.003508 test-mlogloss:0.916837+0.026375
## [108] train-mlogloss:0.072447+0.003422 test-mlogloss:0.919189+0.024971
## [109] train-mlogloss:0.071359+0.003313 test-mlogloss:0.922365+0.025228
## [110] train-mlogloss:0.070086+0.003375 test-mlogloss:0.923062+0.023970
## [111] train-mlogloss:0.069064+0.003294 test-mlogloss:0.926737+0.023149
## [112] train-mlogloss:0.067984+0.003106 test-mlogloss:0.928848+0.023906
## [113] train-mlogloss:0.067001+0.002849 test-mlogloss:0.929718+0.026058
## [114] train-mlogloss:0.066024+0.002922 test-mlogloss:0.932444+0.025398
## [115] train-mlogloss:0.065026+0.002992 test-mlogloss:0.934910+0.026400
## [116] train-mlogloss:0.064110+0.002890 test-mlogloss:0.935552+0.026270
## [117] train-mlogloss:0.063138+0.002716 test-mlogloss:0.936636+0.025538
## [118] train-mlogloss:0.062120+0.002850 test-mlogloss:0.936583+0.025250
## [119] train-mlogloss:0.061072+0.002758 test-mlogloss:0.938804+0.025979
## [120] train-mlogloss:0.060045+0.002889 test-mlogloss:0.941533+0.023907
## [121] train-mlogloss:0.059029+0.002713 test-mlogloss:0.943423+0.025566
## [122] train-mlogloss:0.057876+0.002700 test-mlogloss:0.945348+0.025690
## [123] train-mlogloss:0.057023+0.002526 test-mlogloss:0.947694+0.024589
## [124] train-mlogloss:0.056332+0.002430 test-mlogloss:0.948506+0.024276
## [125] train-mlogloss:0.055493+0.002335 test-mlogloss:0.949895+0.022706
## [126] train-mlogloss:0.054585+0.002312 test-mlogloss:0.953113+0.023916
## [127] train-mlogloss:0.053813+0.002298 test-mlogloss:0.954878+0.025476
## [128] train-mlogloss:0.053021+0.002220 test-mlogloss:0.954947+0.024775
## [129] train-mlogloss:0.052137+0.002128 test-mlogloss:0.957371+0.024465
## [130] train-mlogloss:0.051237+0.002044 test-mlogloss:0.960677+0.024268
## [131] train-mlogloss:0.050417+0.001981 test-mlogloss:0.960492+0.024047
## [132] train-mlogloss:0.049689+0.001923 test-mlogloss:0.961187+0.021717
## [133] train-mlogloss:0.048858+0.001865 test-mlogloss:0.964493+0.023607
## [134] train-mlogloss:0.048104+0.001864 test-mlogloss:0.965928+0.022232
## [135] train-mlogloss:0.047490+0.001864 test-mlogloss:0.968637+0.024061
## [136] train-mlogloss:0.046763+0.001892 test-mlogloss:0.969015+0.023809
## [137] train-mlogloss:0.046090+0.001806 test-mlogloss:0.970498+0.023254
## [138] train-mlogloss:0.045375+0.001754 test-mlogloss:0.972548+0.023511
## [139] train-mlogloss:0.044692+0.001737 test-mlogloss:0.973711+0.024082
## [140] train-mlogloss:0.044115+0.001688 test-mlogloss:0.976470+0.022736
## [141] train-mlogloss:0.043489+0.001614 test-mlogloss:0.978070+0.021763
## [142] train-mlogloss:0.042933+0.001599 test-mlogloss:0.981244+0.023182
## [143] train-mlogloss:0.042350+0.001543 test-mlogloss:0.983461+0.024495
## [144] train-mlogloss:0.041762+0.001495 test-mlogloss:0.986488+0.023418
## [145] train-mlogloss:0.041118+0.001468 test-mlogloss:0.987601+0.025309
## [146] train-mlogloss:0.040484+0.001490 test-mlogloss:0.991608+0.029002
## [147] train-mlogloss:0.039919+0.001450 test-mlogloss:0.993919+0.028134
## [148] train-mlogloss:0.039202+0.001512 test-mlogloss:0.995205+0.029095
## [149] train-mlogloss:0.038641+0.001501 test-mlogloss:0.996875+0.028878
## [150] train-mlogloss:0.038135+0.001497 test-mlogloss:0.997986+0.028369
## [151] train-mlogloss:0.037642+0.001410 test-mlogloss:0.998777+0.026261
## [152] train-mlogloss:0.037131+0.001434 test-mlogloss:0.999956+0.027279
## [153] train-mlogloss:0.036616+0.001455 test-mlogloss:1.002408+0.027717
## [154] train-mlogloss:0.036094+0.001408 test-mlogloss:1.004652+0.027040
## [155] train-mlogloss:0.035581+0.001415 test-mlogloss:1.007902+0.026405
## [156] train-mlogloss:0.035130+0.001367 test-mlogloss:1.010299+0.025723
## [157] train-mlogloss:0.034667+0.001403 test-mlogloss:1.013635+0.025372
## [158] train-mlogloss:0.034269+0.001422 test-mlogloss:1.015527+0.025259
## [159] train-mlogloss:0.033812+0.001432 test-mlogloss:1.017690+0.025417
## [160] train-mlogloss:0.033389+0.001457 test-mlogloss:1.016658+0.025011
## [161] train-mlogloss:0.032883+0.001421 test-mlogloss:1.018763+0.027429
## [162] train-mlogloss:0.032475+0.001367 test-mlogloss:1.021195+0.025947
## [163] train-mlogloss:0.031994+0.001327 test-mlogloss:1.023218+0.027308
## [164] train-mlogloss:0.031652+0.001322 test-mlogloss:1.024472+0.027182
## [165] train-mlogloss:0.031252+0.001342 test-mlogloss:1.025185+0.025957
## [166] train-mlogloss:0.030809+0.001339 test-mlogloss:1.027185+0.027400
## [167] train-mlogloss:0.030397+0.001303 test-mlogloss:1.028646+0.027494
## [168] train-mlogloss:0.030027+0.001267 test-mlogloss:1.029435+0.028023
## [169] train-mlogloss:0.029662+0.001238 test-mlogloss:1.034047+0.029375
## [170] train-mlogloss:0.029337+0.001233 test-mlogloss:1.035048+0.028349
## [171] train-mlogloss:0.028958+0.001310 test-mlogloss:1.036709+0.029030
## [172] train-mlogloss:0.028666+0.001325 test-mlogloss:1.037482+0.028054
## [173] train-mlogloss:0.028338+0.001358 test-mlogloss:1.038459+0.029521
## [174] train-mlogloss:0.028013+0.001340 test-mlogloss:1.039597+0.028791
## [175] train-mlogloss:0.027651+0.001324 test-mlogloss:1.041485+0.030742
## [176] train-mlogloss:0.027277+0.001294 test-mlogloss:1.043071+0.029058
## [177] train-mlogloss:0.026986+0.001310 test-mlogloss:1.042495+0.028992
## [178] train-mlogloss:0.026649+0.001319 test-mlogloss:1.045970+0.029916
## [179] train-mlogloss:0.026329+0.001284 test-mlogloss:1.048835+0.027901
## [180] train-mlogloss:0.026034+0.001334 test-mlogloss:1.049940+0.029221
## [181] train-mlogloss:0.025714+0.001267 test-mlogloss:1.050131+0.028548
## [182] train-mlogloss:0.025459+0.001326 test-mlogloss:1.050265+0.028322
## [183] train-mlogloss:0.025211+0.001355 test-mlogloss:1.051140+0.026175
## [184] train-mlogloss:0.024913+0.001305 test-mlogloss:1.054327+0.025431
## [185] train-mlogloss:0.024637+0.001278 test-mlogloss:1.055780+0.027233
## [186] train-mlogloss:0.024382+0.001255 test-mlogloss:1.056721+0.027791
## [187] train-mlogloss:0.024147+0.001255 test-mlogloss:1.058173+0.026977
## [188] train-mlogloss:0.023856+0.001267 test-mlogloss:1.059700+0.027150
## [189] train-mlogloss:0.023609+0.001275 test-mlogloss:1.061806+0.028727
## [190] train-mlogloss:0.023320+0.001308 test-mlogloss:1.062913+0.026769
## [191] train-mlogloss:0.022991+0.001294 test-mlogloss:1.063823+0.026335
## [192] train-mlogloss:0.022714+0.001279 test-mlogloss:1.065790+0.027455
## [193] train-mlogloss:0.022453+0.001281 test-mlogloss:1.065758+0.028870
## [194] train-mlogloss:0.022174+0.001291 test-mlogloss:1.068156+0.028589
## [195] train-mlogloss:0.021903+0.001295 test-mlogloss:1.068011+0.028619
## [196] train-mlogloss:0.021652+0.001243 test-mlogloss:1.070202+0.028259
## [197] train-mlogloss:0.021363+0.001207 test-mlogloss:1.071675+0.030122
## [198] train-mlogloss:0.021114+0.001120 test-mlogloss:1.073691+0.029659
## [199] train-mlogloss:0.020870+0.001118 test-mlogloss:1.074266+0.028513
## [200] train-mlogloss:0.020617+0.001169 test-mlogloss:1.076005+0.027444
## [201] train-mlogloss:0.020380+0.001160 test-mlogloss:1.076973+0.028324
## [202] train-mlogloss:0.020180+0.001168 test-mlogloss:1.078851+0.027707
## [203] train-mlogloss:0.019932+0.001105 test-mlogloss:1.080486+0.027242
## [204] train-mlogloss:0.019722+0.001077 test-mlogloss:1.082575+0.025539
## [205] train-mlogloss:0.019521+0.001063 test-mlogloss:1.084624+0.023182
## [206] train-mlogloss:0.019309+0.001014 test-mlogloss:1.088275+0.025199
## [207] train-mlogloss:0.019101+0.000998 test-mlogloss:1.089590+0.025954
## [208] train-mlogloss:0.018885+0.000951 test-mlogloss:1.091180+0.026086
## [209] train-mlogloss:0.018692+0.000943 test-mlogloss:1.090631+0.025910
## [210] train-mlogloss:0.018527+0.000946 test-mlogloss:1.091936+0.025888
## [211] train-mlogloss:0.018315+0.000900 test-mlogloss:1.092808+0.025592
## [212] train-mlogloss:0.018101+0.000859 test-mlogloss:1.094119+0.024688
## [213] train-mlogloss:0.017918+0.000835 test-mlogloss:1.095419+0.024641
## [214] train-mlogloss:0.017718+0.000826 test-mlogloss:1.096723+0.024466
## [215] train-mlogloss:0.017569+0.000824 test-mlogloss:1.096962+0.024096
## [216] train-mlogloss:0.017386+0.000796 test-mlogloss:1.098812+0.021583
## [217] train-mlogloss:0.017189+0.000749 test-mlogloss:1.099363+0.022114
## [218] train-mlogloss:0.017027+0.000746 test-mlogloss:1.099643+0.022389
## [219] train-mlogloss:0.016846+0.000683 test-mlogloss:1.101883+0.022013
## [220] train-mlogloss:0.016682+0.000699 test-mlogloss:1.103580+0.022731
## [221] train-mlogloss:0.016523+0.000687 test-mlogloss:1.104678+0.022928
## [222] train-mlogloss:0.016373+0.000688 test-mlogloss:1.107012+0.022501
## [223] train-mlogloss:0.016210+0.000689 test-mlogloss:1.107706+0.022219
## [224] train-mlogloss:0.016073+0.000696 test-mlogloss:1.108973+0.024275
## [225] train-mlogloss:0.015904+0.000698 test-mlogloss:1.112312+0.023954
## [226] train-mlogloss:0.015776+0.000714 test-mlogloss:1.111576+0.023272
## [227] train-mlogloss:0.015655+0.000693 test-mlogloss:1.111925+0.023323
## [228] train-mlogloss:0.015527+0.000689 test-mlogloss:1.114117+0.024660
## [229] train-mlogloss:0.015358+0.000678 test-mlogloss:1.116534+0.025473
## [230] train-mlogloss:0.015256+0.000671 test-mlogloss:1.118410+0.023848
## [231] train-mlogloss:0.015098+0.000651 test-mlogloss:1.118756+0.023243
## [232] train-mlogloss:0.014925+0.000632 test-mlogloss:1.119796+0.024213
## [233] train-mlogloss:0.014793+0.000623 test-mlogloss:1.121693+0.024741
## [234] train-mlogloss:0.014681+0.000624 test-mlogloss:1.124560+0.024502
## [235] train-mlogloss:0.014545+0.000609 test-mlogloss:1.125674+0.024371
## [236] train-mlogloss:0.014411+0.000605 test-mlogloss:1.129454+0.024661
## [237] train-mlogloss:0.014273+0.000574 test-mlogloss:1.130366+0.023047
## [238] train-mlogloss:0.014155+0.000553 test-mlogloss:1.133135+0.022446
## [239] train-mlogloss:0.014018+0.000529 test-mlogloss:1.133976+0.022971
## [240] train-mlogloss:0.013873+0.000520 test-mlogloss:1.135029+0.022803
## [241] train-mlogloss:0.013768+0.000534 test-mlogloss:1.135857+0.022752
## [242] train-mlogloss:0.013653+0.000525 test-mlogloss:1.136919+0.023645
## [243] train-mlogloss:0.013527+0.000519 test-mlogloss:1.137458+0.024130
## [244] train-mlogloss:0.013411+0.000500 test-mlogloss:1.139629+0.024795
## [245] train-mlogloss:0.013309+0.000488 test-mlogloss:1.139910+0.023701
## [246] train-mlogloss:0.013178+0.000470 test-mlogloss:1.141273+0.023990
## [247] train-mlogloss:0.013072+0.000482 test-mlogloss:1.143128+0.022813
## [248] train-mlogloss:0.012956+0.000482 test-mlogloss:1.143991+0.023854
## [249] train-mlogloss:0.012876+0.000488 test-mlogloss:1.145519+0.024014
## [250] train-mlogloss:0.012775+0.000487 test-mlogloss:1.145561+0.024543
## [251] train-mlogloss:0.012680+0.000502 test-mlogloss:1.147328+0.023821
## [252] train-mlogloss:0.012577+0.000493 test-mlogloss:1.148021+0.023325
## [253] train-mlogloss:0.012470+0.000480 test-mlogloss:1.148118+0.022899
## [254] train-mlogloss:0.012371+0.000490 test-mlogloss:1.149301+0.022941
## [255] train-mlogloss:0.012270+0.000471 test-mlogloss:1.151269+0.024149
## [256] train-mlogloss:0.012175+0.000455 test-mlogloss:1.152360+0.023951
## [257] train-mlogloss:0.012079+0.000462 test-mlogloss:1.154066+0.026226
## [258] train-mlogloss:0.011990+0.000471 test-mlogloss:1.155188+0.025399
## [259] train-mlogloss:0.011907+0.000451 test-mlogloss:1.154752+0.024942
## [260] train-mlogloss:0.011821+0.000440 test-mlogloss:1.157911+0.025814
## [261] train-mlogloss:0.011728+0.000441 test-mlogloss:1.158611+0.025057
## [262] train-mlogloss:0.011646+0.000452 test-mlogloss:1.158857+0.025183
## [263] train-mlogloss:0.011557+0.000456 test-mlogloss:1.159554+0.025279
## [264] train-mlogloss:0.011471+0.000452 test-mlogloss:1.161303+0.025662
## [265] train-mlogloss:0.011382+0.000438 test-mlogloss:1.161001+0.024559
## [266] train-mlogloss:0.011298+0.000430 test-mlogloss:1.162535+0.024828
## [267] train-mlogloss:0.011214+0.000426 test-mlogloss:1.164777+0.024626
## [268] train-mlogloss:0.011124+0.000420 test-mlogloss:1.165923+0.023432
## [269] train-mlogloss:0.011027+0.000400 test-mlogloss:1.166911+0.024953
## [270] train-mlogloss:0.010945+0.000403 test-mlogloss:1.168686+0.025020
## [271] train-mlogloss:0.010851+0.000392 test-mlogloss:1.170052+0.024760
## [272] train-mlogloss:0.010786+0.000393 test-mlogloss:1.169292+0.026012
## [273] train-mlogloss:0.010714+0.000406 test-mlogloss:1.170483+0.026101
## [274] train-mlogloss:0.010628+0.000392 test-mlogloss:1.171013+0.025064
## [275] train-mlogloss:0.010559+0.000381 test-mlogloss:1.172609+0.024682
## [276] train-mlogloss:0.010492+0.000358 test-mlogloss:1.173094+0.023821
## [277] train-mlogloss:0.010426+0.000357 test-mlogloss:1.173667+0.022452
## [278] train-mlogloss:0.010328+0.000351 test-mlogloss:1.175567+0.025464
## [279] train-mlogloss:0.010257+0.000347 test-mlogloss:1.176640+0.026297
## [280] train-mlogloss:0.010177+0.000347 test-mlogloss:1.177735+0.025797
## [281] train-mlogloss:0.010116+0.000344 test-mlogloss:1.178986+0.026149
## [282] train-mlogloss:0.010047+0.000336 test-mlogloss:1.180491+0.025352
## [283] train-mlogloss:0.010004+0.000335 test-mlogloss:1.181062+0.025398
## [284] train-mlogloss:0.009934+0.000335 test-mlogloss:1.180977+0.025505
## [285] train-mlogloss:0.009861+0.000318 test-mlogloss:1.182035+0.025594
## [286] train-mlogloss:0.009779+0.000330 test-mlogloss:1.183703+0.025666
## [287] train-mlogloss:0.009730+0.000329 test-mlogloss:1.182729+0.025363
## [288] train-mlogloss:0.009672+0.000324 test-mlogloss:1.184716+0.026373
## [289] train-mlogloss:0.009615+0.000326 test-mlogloss:1.185476+0.026224
## [290] train-mlogloss:0.009547+0.000324 test-mlogloss:1.186561+0.026488
## [291] train-mlogloss:0.009478+0.000320 test-mlogloss:1.187716+0.026971
## [292] train-mlogloss:0.009413+0.000325 test-mlogloss:1.188623+0.026429
## [293] train-mlogloss:0.009357+0.000330 test-mlogloss:1.189439+0.027083
## [294] train-mlogloss:0.009292+0.000327 test-mlogloss:1.190999+0.025747
## [295] train-mlogloss:0.009233+0.000318 test-mlogloss:1.191591+0.027207
## [296] train-mlogloss:0.009170+0.000303 test-mlogloss:1.192364+0.028071
## [297] train-mlogloss:0.009107+0.000302 test-mlogloss:1.193891+0.028310
## [298] train-mlogloss:0.009047+0.000299 test-mlogloss:1.195161+0.029165
## [299] train-mlogloss:0.008987+0.000300 test-mlogloss:1.196338+0.028486
## [300] train-mlogloss:0.008931+0.000304 test-mlogloss:1.198125+0.027839
## [301] train-mlogloss:0.008878+0.000294 test-mlogloss:1.198273+0.027624
## [302] train-mlogloss:0.008822+0.000285 test-mlogloss:1.199847+0.027197
## [303] train-mlogloss:0.008772+0.000270 test-mlogloss:1.200948+0.028021
## [304] train-mlogloss:0.008723+0.000271 test-mlogloss:1.201851+0.028297
## [305] train-mlogloss:0.008676+0.000279 test-mlogloss:1.204250+0.026793
## [306] train-mlogloss:0.008608+0.000270 test-mlogloss:1.205479+0.027338
## [307] train-mlogloss:0.008566+0.000276 test-mlogloss:1.206730+0.028575
## [308] train-mlogloss:0.008508+0.000287 test-mlogloss:1.206996+0.028857
## [309] train-mlogloss:0.008454+0.000282 test-mlogloss:1.207745+0.027432
## [310] train-mlogloss:0.008401+0.000274 test-mlogloss:1.208984+0.027165
## [311] train-mlogloss:0.008340+0.000263 test-mlogloss:1.209912+0.026385
## [312] train-mlogloss:0.008280+0.000263 test-mlogloss:1.211747+0.026901
## [313] train-mlogloss:0.008245+0.000267 test-mlogloss:1.211517+0.027334
## [314] train-mlogloss:0.008200+0.000273 test-mlogloss:1.212137+0.027835
## [315] train-mlogloss:0.008151+0.000272 test-mlogloss:1.212452+0.026278
## [316] train-mlogloss:0.008110+0.000275 test-mlogloss:1.212754+0.027773
## [317] train-mlogloss:0.008052+0.000273 test-mlogloss:1.214595+0.028357
## [318] train-mlogloss:0.008006+0.000279 test-mlogloss:1.214621+0.028243
## [319] train-mlogloss:0.007963+0.000273 test-mlogloss:1.215045+0.028139
## [320] train-mlogloss:0.007922+0.000272 test-mlogloss:1.216256+0.028828
## [321] train-mlogloss:0.007865+0.000268 test-mlogloss:1.217192+0.028328
## [322] train-mlogloss:0.007817+0.000265 test-mlogloss:1.218137+0.028124
## [323] train-mlogloss:0.007763+0.000259 test-mlogloss:1.218521+0.027711
## [324] train-mlogloss:0.007724+0.000260 test-mlogloss:1.220127+0.028031
## [325] train-mlogloss:0.007688+0.000267 test-mlogloss:1.219981+0.027336
## [326] train-mlogloss:0.007652+0.000263 test-mlogloss:1.221076+0.027060
## [327] train-mlogloss:0.007601+0.000264 test-mlogloss:1.219778+0.028809
## [328] train-mlogloss:0.007555+0.000254 test-mlogloss:1.222230+0.027297
## [329] train-mlogloss:0.007516+0.000250 test-mlogloss:1.222502+0.026740
## [330] train-mlogloss:0.007484+0.000245 test-mlogloss:1.224148+0.026390
## [331] train-mlogloss:0.007447+0.000246 test-mlogloss:1.225376+0.027124
## [332] train-mlogloss:0.007411+0.000239 test-mlogloss:1.225273+0.027531
## [333] train-mlogloss:0.007373+0.000238 test-mlogloss:1.225922+0.026055
## [334] train-mlogloss:0.007332+0.000233 test-mlogloss:1.227006+0.024927
## [335] train-mlogloss:0.007284+0.000226 test-mlogloss:1.227583+0.024917
## [336] train-mlogloss:0.007243+0.000232 test-mlogloss:1.228691+0.026106
## [337] train-mlogloss:0.007205+0.000228 test-mlogloss:1.229153+0.026235
## [338] train-mlogloss:0.007179+0.000229 test-mlogloss:1.230590+0.026830
## [339] train-mlogloss:0.007137+0.000234 test-mlogloss:1.230489+0.027084
## [340] train-mlogloss:0.007096+0.000228 test-mlogloss:1.232632+0.026804
## [341] train-mlogloss:0.007065+0.000227 test-mlogloss:1.232545+0.026314
## [342] train-mlogloss:0.007024+0.000224 test-mlogloss:1.233501+0.026505
## [343] train-mlogloss:0.006989+0.000221 test-mlogloss:1.234325+0.027184
## [344] train-mlogloss:0.006949+0.000212 test-mlogloss:1.235013+0.028052
## [345] train-mlogloss:0.006913+0.000206 test-mlogloss:1.235929+0.027229
## [346] train-mlogloss:0.006875+0.000204 test-mlogloss:1.235817+0.028181
## [347] train-mlogloss:0.006844+0.000203 test-mlogloss:1.236801+0.028608
## [348] train-mlogloss:0.006814+0.000208 test-mlogloss:1.237520+0.028803
## [349] train-mlogloss:0.006777+0.000198 test-mlogloss:1.238323+0.029114
## [350] train-mlogloss:0.006745+0.000201 test-mlogloss:1.239048+0.029379
## [351] train-mlogloss:0.006711+0.000200 test-mlogloss:1.240538+0.028897
## [352] train-mlogloss:0.006678+0.000189 test-mlogloss:1.240070+0.028972
## [353] train-mlogloss:0.006646+0.000190 test-mlogloss:1.240505+0.027684
## [354] train-mlogloss:0.006618+0.000186 test-mlogloss:1.239722+0.027376
## [355] train-mlogloss:0.006583+0.000177 test-mlogloss:1.241644+0.027386
## [356] train-mlogloss:0.006556+0.000180 test-mlogloss:1.241967+0.026603
## [357] train-mlogloss:0.006530+0.000176 test-mlogloss:1.243199+0.026947
## [358] train-mlogloss:0.006506+0.000173 test-mlogloss:1.243784+0.027783
## [359] train-mlogloss:0.006467+0.000169 test-mlogloss:1.244537+0.027899
## [360] train-mlogloss:0.006442+0.000164 test-mlogloss:1.244674+0.028684
## [361] train-mlogloss:0.006412+0.000165 test-mlogloss:1.244318+0.027924
## [362] train-mlogloss:0.006386+0.000163 test-mlogloss:1.245858+0.027824
## [363] train-mlogloss:0.006360+0.000162 test-mlogloss:1.247126+0.029222
## [364] train-mlogloss:0.006330+0.000161 test-mlogloss:1.247383+0.029386
## [365] train-mlogloss:0.006303+0.000159 test-mlogloss:1.249293+0.029537
## [366] train-mlogloss:0.006277+0.000157 test-mlogloss:1.249030+0.029390
## [367] train-mlogloss:0.006243+0.000156 test-mlogloss:1.249329+0.030251
## [368] train-mlogloss:0.006216+0.000151 test-mlogloss:1.250363+0.031374
## [369] train-mlogloss:0.006184+0.000152 test-mlogloss:1.251426+0.032019
## [370] train-mlogloss:0.006155+0.000155 test-mlogloss:1.251626+0.031167
## [371] train-mlogloss:0.006125+0.000156 test-mlogloss:1.251840+0.030925
## [372] train-mlogloss:0.006100+0.000158 test-mlogloss:1.253371+0.031009
## [373] train-mlogloss:0.006074+0.000158 test-mlogloss:1.254695+0.031474
## [374] train-mlogloss:0.006042+0.000153 test-mlogloss:1.255652+0.030209
## [375] train-mlogloss:0.006016+0.000158 test-mlogloss:1.256049+0.030421
## [376] train-mlogloss:0.005988+0.000156 test-mlogloss:1.256060+0.030796
## [377] train-mlogloss:0.005963+0.000159 test-mlogloss:1.256660+0.030896
## [378] train-mlogloss:0.005938+0.000154 test-mlogloss:1.256951+0.031157
## [379] train-mlogloss:0.005910+0.000152 test-mlogloss:1.256828+0.031705
## [380] train-mlogloss:0.005887+0.000151 test-mlogloss:1.257571+0.032387
## [381] train-mlogloss:0.005855+0.000160 test-mlogloss:1.259101+0.033027
## [382] train-mlogloss:0.005824+0.000159 test-mlogloss:1.258612+0.032758
## [383] train-mlogloss:0.005803+0.000162 test-mlogloss:1.259635+0.033264
## [384] train-mlogloss:0.005780+0.000159 test-mlogloss:1.260177+0.033665
## [385] train-mlogloss:0.005752+0.000168 test-mlogloss:1.260778+0.034138
## [386] train-mlogloss:0.005724+0.000165 test-mlogloss:1.261207+0.034391
## [387] train-mlogloss:0.005699+0.000157 test-mlogloss:1.261835+0.033575
## [388] train-mlogloss:0.005674+0.000155 test-mlogloss:1.263205+0.033493
## [389] train-mlogloss:0.005653+0.000153 test-mlogloss:1.263828+0.033544
## [390] train-mlogloss:0.005630+0.000150 test-mlogloss:1.264424+0.032613
## [391] train-mlogloss:0.005610+0.000147 test-mlogloss:1.264164+0.032436
## [392] train-mlogloss:0.005588+0.000149 test-mlogloss:1.265236+0.031184
## [393] train-mlogloss:0.005564+0.000153 test-mlogloss:1.265865+0.031648
## [394] train-mlogloss:0.005544+0.000159 test-mlogloss:1.267466+0.032712
## [395] train-mlogloss:0.005522+0.000160 test-mlogloss:1.267781+0.031907
## [396] train-mlogloss:0.005497+0.000158 test-mlogloss:1.268618+0.032841
## [397] train-mlogloss:0.005476+0.000158 test-mlogloss:1.269026+0.033445
## [398] train-mlogloss:0.005450+0.000158 test-mlogloss:1.270380+0.033548
## [399] train-mlogloss:0.005431+0.000160 test-mlogloss:1.271650+0.035029
## [400] train-mlogloss:0.005407+0.000163 test-mlogloss:1.272990+0.034004
## [401] train-mlogloss:0.005387+0.000163 test-mlogloss:1.273761+0.034241
## [402] train-mlogloss:0.005362+0.000164 test-mlogloss:1.274976+0.033694
## [403] train-mlogloss:0.005344+0.000160 test-mlogloss:1.274495+0.035110
## [404] train-mlogloss:0.005323+0.000157 test-mlogloss:1.274651+0.034787
## [405] train-mlogloss:0.005302+0.000156 test-mlogloss:1.274094+0.034286
## [406] train-mlogloss:0.005281+0.000159 test-mlogloss:1.274131+0.035370
## [407] train-mlogloss:0.005261+0.000162 test-mlogloss:1.275419+0.034791
## [408] train-mlogloss:0.005239+0.000160 test-mlogloss:1.274919+0.035297
## [409] train-mlogloss:0.005219+0.000156 test-mlogloss:1.275382+0.034234
## [410] train-mlogloss:0.005199+0.000154 test-mlogloss:1.275710+0.034341
## [411] train-mlogloss:0.005177+0.000155 test-mlogloss:1.276051+0.034379
## [412] train-mlogloss:0.005157+0.000153 test-mlogloss:1.277634+0.035254
## [413] train-mlogloss:0.005133+0.000150 test-mlogloss:1.277075+0.034957
## [414] train-mlogloss:0.005111+0.000144 test-mlogloss:1.276908+0.035056
## [415] train-mlogloss:0.005094+0.000144 test-mlogloss:1.277910+0.035666
## [416] train-mlogloss:0.005074+0.000141 test-mlogloss:1.279393+0.035934
## [417] train-mlogloss:0.005049+0.000140 test-mlogloss:1.280696+0.035777
## [418] train-mlogloss:0.005028+0.000142 test-mlogloss:1.283350+0.035923
## [419] train-mlogloss:0.005012+0.000138 test-mlogloss:1.283851+0.035434
## [420] train-mlogloss:0.004990+0.000134 test-mlogloss:1.283573+0.035418
## [421] train-mlogloss:0.004969+0.000133 test-mlogloss:1.285052+0.035543
## [422] train-mlogloss:0.004950+0.000128 test-mlogloss:1.285733+0.035718
## [423] train-mlogloss:0.004931+0.000124 test-mlogloss:1.285076+0.034917
## [424] train-mlogloss:0.004913+0.000125 test-mlogloss:1.286383+0.035214
## [425] train-mlogloss:0.004895+0.000121 test-mlogloss:1.286621+0.034651
## [426] train-mlogloss:0.004880+0.000120 test-mlogloss:1.287392+0.034753
## [427] train-mlogloss:0.004862+0.000116 test-mlogloss:1.288650+0.033671
## [428] train-mlogloss:0.004845+0.000116 test-mlogloss:1.289694+0.034990
## [429] train-mlogloss:0.004828+0.000115 test-mlogloss:1.290047+0.034611
## [430] train-mlogloss:0.004811+0.000114 test-mlogloss:1.290179+0.035346
## [431] train-mlogloss:0.004791+0.000116 test-mlogloss:1.291873+0.035074
## [432] train-mlogloss:0.004774+0.000113 test-mlogloss:1.292169+0.036038
## [433] train-mlogloss:0.004754+0.000112 test-mlogloss:1.292311+0.035338
## [434] train-mlogloss:0.004737+0.000112 test-mlogloss:1.293160+0.035485
## [435] train-mlogloss:0.004717+0.000110 test-mlogloss:1.295327+0.036670
## [436] train-mlogloss:0.004700+0.000107 test-mlogloss:1.295980+0.036918
## [437] train-mlogloss:0.004687+0.000109 test-mlogloss:1.296502+0.036476
## [438] train-mlogloss:0.004663+0.000113 test-mlogloss:1.297470+0.036976
## [439] train-mlogloss:0.004650+0.000114 test-mlogloss:1.298129+0.036818
## [440] train-mlogloss:0.004632+0.000115 test-mlogloss:1.298612+0.036067
## [441] train-mlogloss:0.004615+0.000115 test-mlogloss:1.299823+0.036692
## [442] train-mlogloss:0.004599+0.000108 test-mlogloss:1.300793+0.036865
## [443] train-mlogloss:0.004585+0.000106 test-mlogloss:1.300897+0.035779
## [444] train-mlogloss:0.004569+0.000104 test-mlogloss:1.301661+0.035390
## [445] train-mlogloss:0.004555+0.000104 test-mlogloss:1.302209+0.035456
## [446] train-mlogloss:0.004540+0.000104 test-mlogloss:1.303525+0.036325
## [447] train-mlogloss:0.004525+0.000103 test-mlogloss:1.302811+0.036819
## [448] train-mlogloss:0.004508+0.000102 test-mlogloss:1.302442+0.037390
## [449] train-mlogloss:0.004492+0.000100 test-mlogloss:1.303058+0.036151
## [450] train-mlogloss:0.004479+0.000101 test-mlogloss:1.303771+0.036122
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## [452] train-mlogloss:0.004443+0.000104 test-mlogloss:1.304267+0.036432
## [453] train-mlogloss:0.004429+0.000103 test-mlogloss:1.304232+0.036349
## [454] train-mlogloss:0.004412+0.000100 test-mlogloss:1.305054+0.037196
## [455] train-mlogloss:0.004395+0.000101 test-mlogloss:1.306568+0.036779
## [456] train-mlogloss:0.004383+0.000102 test-mlogloss:1.306984+0.037067
## [457] train-mlogloss:0.004368+0.000100 test-mlogloss:1.307247+0.036425
## [458] train-mlogloss:0.004355+0.000101 test-mlogloss:1.307626+0.035931
## [459] train-mlogloss:0.004342+0.000100 test-mlogloss:1.307842+0.036481
## [460] train-mlogloss:0.004329+0.000100 test-mlogloss:1.308399+0.036013
## [461] train-mlogloss:0.004313+0.000098 test-mlogloss:1.309334+0.037411
## [462] train-mlogloss:0.004297+0.000097 test-mlogloss:1.309640+0.036581
## [463] train-mlogloss:0.004279+0.000096 test-mlogloss:1.310429+0.035522
## [464] train-mlogloss:0.004267+0.000095 test-mlogloss:1.311576+0.036021
## [465] train-mlogloss:0.004251+0.000096 test-mlogloss:1.311560+0.035551
## [466] train-mlogloss:0.004235+0.000093 test-mlogloss:1.311475+0.035083
## [467] train-mlogloss:0.004223+0.000091 test-mlogloss:1.312363+0.035140
## [468] train-mlogloss:0.004209+0.000092 test-mlogloss:1.313414+0.035823
## [469] train-mlogloss:0.004193+0.000088 test-mlogloss:1.312608+0.036091
## [470] train-mlogloss:0.004176+0.000086 test-mlogloss:1.313759+0.034654
## [471] train-mlogloss:0.004164+0.000088 test-mlogloss:1.313686+0.034533
## [472] train-mlogloss:0.004151+0.000090 test-mlogloss:1.314154+0.035507
## [473] train-mlogloss:0.004140+0.000092 test-mlogloss:1.314740+0.036330
## [474] train-mlogloss:0.004123+0.000090 test-mlogloss:1.315803+0.034551
## [475] train-mlogloss:0.004107+0.000094 test-mlogloss:1.316738+0.033803
## [476] train-mlogloss:0.004097+0.000094 test-mlogloss:1.317850+0.034730
## [477] train-mlogloss:0.004084+0.000090 test-mlogloss:1.318206+0.035415
## [478] train-mlogloss:0.004070+0.000089 test-mlogloss:1.318219+0.034022
## [479] train-mlogloss:0.004057+0.000087 test-mlogloss:1.318360+0.034005
## [480] train-mlogloss:0.004042+0.000086 test-mlogloss:1.319092+0.033974
## [481] train-mlogloss:0.004032+0.000085 test-mlogloss:1.320388+0.034654
## [482] train-mlogloss:0.004023+0.000086 test-mlogloss:1.319884+0.034959
## [483] train-mlogloss:0.004012+0.000085 test-mlogloss:1.319550+0.035010
## [484] train-mlogloss:0.004001+0.000085 test-mlogloss:1.319436+0.035885
## [485] train-mlogloss:0.003992+0.000086 test-mlogloss:1.320180+0.035898
## [486] train-mlogloss:0.003981+0.000084 test-mlogloss:1.321623+0.035670
## [487] train-mlogloss:0.003968+0.000084 test-mlogloss:1.321563+0.034625
## [488] train-mlogloss:0.003954+0.000084 test-mlogloss:1.322634+0.034780
## [489] train-mlogloss:0.003942+0.000082 test-mlogloss:1.323010+0.035911
## [490] train-mlogloss:0.003929+0.000081 test-mlogloss:1.323617+0.036202
## [491] train-mlogloss:0.003918+0.000079 test-mlogloss:1.324055+0.035800
## [492] train-mlogloss:0.003908+0.000082 test-mlogloss:1.324990+0.035585
## [493] train-mlogloss:0.003894+0.000080 test-mlogloss:1.325008+0.034918
## [494] train-mlogloss:0.003885+0.000080 test-mlogloss:1.324951+0.034360
## [495] train-mlogloss:0.003874+0.000081 test-mlogloss:1.326210+0.035197
## [496] train-mlogloss:0.003866+0.000079 test-mlogloss:1.325788+0.035417
## [497] train-mlogloss:0.003854+0.000080 test-mlogloss:1.326310+0.035810
## [498] train-mlogloss:0.003844+0.000079 test-mlogloss:1.325493+0.035410
## [499] train-mlogloss:0.003835+0.000080 test-mlogloss:1.325956+0.037043
## [500] train-mlogloss:0.003822+0.000079 test-mlogloss:1.326408+0.036411
## [1] train-mlogloss:0.383787+0.003546 test-mlogloss:0.613576+0.017895
## [2] train-mlogloss:0.270995+0.004073 test-mlogloss:0.646344+0.019582
## [3] train-mlogloss:0.201922+0.004128 test-mlogloss:0.679038+0.021070
## [4] train-mlogloss:0.156424+0.004073 test-mlogloss:0.707995+0.023736
## [5] train-mlogloss:0.124057+0.003142 test-mlogloss:0.732120+0.028670
## [6] train-mlogloss:0.101298+0.002205 test-mlogloss:0.747575+0.028546
## [7] train-mlogloss:0.084872+0.002033 test-mlogloss:0.765914+0.027838
## [8] train-mlogloss:0.072011+0.001613 test-mlogloss:0.783058+0.029010
## [9] train-mlogloss:0.062221+0.001250 test-mlogloss:0.800735+0.029461
## [10] train-mlogloss:0.054672+0.001223 test-mlogloss:0.808410+0.029406
## [11] train-mlogloss:0.048443+0.000810 test-mlogloss:0.820177+0.031973
## [12] train-mlogloss:0.043490+0.000604 test-mlogloss:0.828928+0.036567
## [13] train-mlogloss:0.039298+0.000568 test-mlogloss:0.833789+0.036634
## [14] train-mlogloss:0.035996+0.000550 test-mlogloss:0.841375+0.036066
## [15] train-mlogloss:0.032931+0.000526 test-mlogloss:0.848557+0.035366
## [16] train-mlogloss:0.030472+0.000470 test-mlogloss:0.854753+0.033201
## [17] train-mlogloss:0.028324+0.000388 test-mlogloss:0.861003+0.037621
## [18] train-mlogloss:0.026463+0.000295 test-mlogloss:0.868767+0.037768
## [19] train-mlogloss:0.024872+0.000337 test-mlogloss:0.876338+0.037563
## [20] train-mlogloss:0.023437+0.000347 test-mlogloss:0.882699+0.039032
## [21] train-mlogloss:0.022238+0.000336 test-mlogloss:0.887422+0.036624
## [22] train-mlogloss:0.021213+0.000338 test-mlogloss:0.895024+0.036715
## [23] train-mlogloss:0.020169+0.000303 test-mlogloss:0.898058+0.035607
## [24] train-mlogloss:0.019273+0.000255 test-mlogloss:0.904720+0.036837
## [25] train-mlogloss:0.018407+0.000188 test-mlogloss:0.909495+0.038331
## [26] train-mlogloss:0.017691+0.000158 test-mlogloss:0.912753+0.037372
## [27] train-mlogloss:0.016995+0.000198 test-mlogloss:0.917023+0.039508
## [28] train-mlogloss:0.016356+0.000172 test-mlogloss:0.919725+0.038248
## [29] train-mlogloss:0.015734+0.000125 test-mlogloss:0.924247+0.038519
## [30] train-mlogloss:0.015213+0.000127 test-mlogloss:0.927540+0.039752
## [31] train-mlogloss:0.014716+0.000115 test-mlogloss:0.929117+0.040497
## [32] train-mlogloss:0.014236+0.000109 test-mlogloss:0.932885+0.038732
## [33] train-mlogloss:0.013802+0.000102 test-mlogloss:0.936761+0.041626
## [34] train-mlogloss:0.013398+0.000134 test-mlogloss:0.942527+0.043637
## [35] train-mlogloss:0.013011+0.000116 test-mlogloss:0.946605+0.046771
## [36] train-mlogloss:0.012640+0.000078 test-mlogloss:0.949315+0.045436
## [37] train-mlogloss:0.012297+0.000093 test-mlogloss:0.953711+0.045607
## [38] train-mlogloss:0.011985+0.000074 test-mlogloss:0.958473+0.047208
## [39] train-mlogloss:0.011708+0.000053 test-mlogloss:0.961172+0.048020
## [40] train-mlogloss:0.011434+0.000065 test-mlogloss:0.964305+0.047068
## [41] train-mlogloss:0.011199+0.000065 test-mlogloss:0.965567+0.047798
## [42] train-mlogloss:0.010947+0.000084 test-mlogloss:0.969285+0.048527
## [43] train-mlogloss:0.010700+0.000064 test-mlogloss:0.971817+0.049668
## [44] train-mlogloss:0.010485+0.000066 test-mlogloss:0.974402+0.049437
## [45] train-mlogloss:0.010266+0.000056 test-mlogloss:0.974461+0.048468
## [46] train-mlogloss:0.010056+0.000062 test-mlogloss:0.975659+0.048377
## [47] train-mlogloss:0.009857+0.000057 test-mlogloss:0.977131+0.046650
## [48] train-mlogloss:0.009671+0.000055 test-mlogloss:0.979843+0.047242
## [49] train-mlogloss:0.009496+0.000068 test-mlogloss:0.983479+0.048350
## [50] train-mlogloss:0.009329+0.000073 test-mlogloss:0.986816+0.048878
## [51] train-mlogloss:0.009168+0.000089 test-mlogloss:0.987880+0.047741
## [52] train-mlogloss:0.009013+0.000093 test-mlogloss:0.990421+0.048929
## [53] train-mlogloss:0.008870+0.000089 test-mlogloss:0.991851+0.049447
## [54] train-mlogloss:0.008723+0.000089 test-mlogloss:0.994640+0.049929
## [55] train-mlogloss:0.008588+0.000100 test-mlogloss:0.998794+0.050443
## [56] train-mlogloss:0.008441+0.000104 test-mlogloss:1.002112+0.051198
## [57] train-mlogloss:0.008304+0.000103 test-mlogloss:1.003259+0.051314
## [58] train-mlogloss:0.008177+0.000102 test-mlogloss:1.004605+0.051449
## [59] train-mlogloss:0.008061+0.000105 test-mlogloss:1.005526+0.051961
## [60] train-mlogloss:0.007951+0.000114 test-mlogloss:1.008514+0.052231
## [61] train-mlogloss:0.007842+0.000115 test-mlogloss:1.010400+0.053720
## [62] train-mlogloss:0.007745+0.000112 test-mlogloss:1.013519+0.055289
## [63] train-mlogloss:0.007636+0.000114 test-mlogloss:1.015215+0.054437
## [64] train-mlogloss:0.007529+0.000119 test-mlogloss:1.015908+0.053281
## [65] train-mlogloss:0.007437+0.000117 test-mlogloss:1.017080+0.052194
## [66] train-mlogloss:0.007350+0.000129 test-mlogloss:1.017567+0.051757
## [67] train-mlogloss:0.007248+0.000133 test-mlogloss:1.018628+0.051668
## [68] train-mlogloss:0.007159+0.000133 test-mlogloss:1.019647+0.052331
## [69] train-mlogloss:0.007064+0.000129 test-mlogloss:1.020885+0.052641
## [70] train-mlogloss:0.006985+0.000125 test-mlogloss:1.023211+0.053243
## [71] train-mlogloss:0.006901+0.000127 test-mlogloss:1.024259+0.053143
## [72] train-mlogloss:0.006827+0.000124 test-mlogloss:1.024906+0.052076
## [73] train-mlogloss:0.006744+0.000115 test-mlogloss:1.026082+0.052125
## [74] train-mlogloss:0.006670+0.000108 test-mlogloss:1.026702+0.052920
## [75] train-mlogloss:0.006600+0.000104 test-mlogloss:1.026854+0.053785
## [76] train-mlogloss:0.006537+0.000101 test-mlogloss:1.027156+0.052910
## [77] train-mlogloss:0.006468+0.000095 test-mlogloss:1.028894+0.052133
## [78] train-mlogloss:0.006406+0.000094 test-mlogloss:1.030267+0.051077
## [79] train-mlogloss:0.006337+0.000097 test-mlogloss:1.031264+0.051216
## [80] train-mlogloss:0.006277+0.000096 test-mlogloss:1.033107+0.050821
## [81] train-mlogloss:0.006214+0.000090 test-mlogloss:1.033847+0.051460
## [82] train-mlogloss:0.006152+0.000088 test-mlogloss:1.035532+0.050820
## [83] train-mlogloss:0.006093+0.000095 test-mlogloss:1.035483+0.050263
## [84] train-mlogloss:0.006031+0.000089 test-mlogloss:1.037317+0.051891
## [85] train-mlogloss:0.005976+0.000090 test-mlogloss:1.038759+0.050766
## [86] train-mlogloss:0.005920+0.000087 test-mlogloss:1.040194+0.049627
## [87] train-mlogloss:0.005866+0.000089 test-mlogloss:1.041968+0.048851
## [88] train-mlogloss:0.005809+0.000080 test-mlogloss:1.041921+0.048428
## [89] train-mlogloss:0.005763+0.000080 test-mlogloss:1.043799+0.049035
## [90] train-mlogloss:0.005716+0.000078 test-mlogloss:1.046844+0.049755
## [91] train-mlogloss:0.005670+0.000078 test-mlogloss:1.048868+0.050917
## [92] train-mlogloss:0.005621+0.000079 test-mlogloss:1.050069+0.051299
## [93] train-mlogloss:0.005572+0.000079 test-mlogloss:1.050813+0.051943
## [94] train-mlogloss:0.005530+0.000077 test-mlogloss:1.052483+0.051190
## [95] train-mlogloss:0.005481+0.000075 test-mlogloss:1.052737+0.052249
## [96] train-mlogloss:0.005442+0.000073 test-mlogloss:1.052943+0.052048
## [97] train-mlogloss:0.005395+0.000073 test-mlogloss:1.054485+0.053501
## [98] train-mlogloss:0.005353+0.000072 test-mlogloss:1.055746+0.053882
## [99] train-mlogloss:0.005307+0.000070 test-mlogloss:1.056733+0.053019
## [100] train-mlogloss:0.005267+0.000070 test-mlogloss:1.058177+0.053309
## [101] train-mlogloss:0.005230+0.000071 test-mlogloss:1.059195+0.053391
## [102] train-mlogloss:0.005185+0.000071 test-mlogloss:1.058727+0.053158
## [103] train-mlogloss:0.005146+0.000076 test-mlogloss:1.060587+0.053332
## [104] train-mlogloss:0.005109+0.000073 test-mlogloss:1.062683+0.054153
## [105] train-mlogloss:0.005073+0.000074 test-mlogloss:1.063976+0.054870
## [106] train-mlogloss:0.005035+0.000074 test-mlogloss:1.063861+0.054472
## [107] train-mlogloss:0.004998+0.000075 test-mlogloss:1.065037+0.054120
## [108] train-mlogloss:0.004967+0.000076 test-mlogloss:1.066741+0.053818
## [109] train-mlogloss:0.004929+0.000076 test-mlogloss:1.067936+0.054238
## [110] train-mlogloss:0.004899+0.000076 test-mlogloss:1.069096+0.055160
## [111] train-mlogloss:0.004869+0.000074 test-mlogloss:1.069274+0.054909
## [112] train-mlogloss:0.004840+0.000072 test-mlogloss:1.070827+0.055510
## [113] train-mlogloss:0.004810+0.000074 test-mlogloss:1.071155+0.054555
## [114] train-mlogloss:0.004780+0.000073 test-mlogloss:1.071340+0.054756
## [115] train-mlogloss:0.004750+0.000070 test-mlogloss:1.071172+0.054473
## [116] train-mlogloss:0.004717+0.000067 test-mlogloss:1.072735+0.054538
## [117] train-mlogloss:0.004685+0.000066 test-mlogloss:1.073459+0.054017
## [118] train-mlogloss:0.004652+0.000067 test-mlogloss:1.074291+0.054356
## [119] train-mlogloss:0.004625+0.000062 test-mlogloss:1.075027+0.053340
## [120] train-mlogloss:0.004595+0.000060 test-mlogloss:1.076051+0.053460
## [121] train-mlogloss:0.004568+0.000059 test-mlogloss:1.076300+0.054116
## [122] train-mlogloss:0.004540+0.000058 test-mlogloss:1.077323+0.054529
## [123] train-mlogloss:0.004514+0.000060 test-mlogloss:1.078045+0.054423
## [124] train-mlogloss:0.004487+0.000061 test-mlogloss:1.079290+0.054331
## [125] train-mlogloss:0.004459+0.000060 test-mlogloss:1.079911+0.055637
## [126] train-mlogloss:0.004433+0.000058 test-mlogloss:1.079135+0.055646
## [127] train-mlogloss:0.004410+0.000054 test-mlogloss:1.080501+0.056000
## [128] train-mlogloss:0.004383+0.000053 test-mlogloss:1.081680+0.056418
## [129] train-mlogloss:0.004356+0.000053 test-mlogloss:1.083424+0.056453
## [130] train-mlogloss:0.004333+0.000051 test-mlogloss:1.083923+0.057087
## [131] train-mlogloss:0.004308+0.000054 test-mlogloss:1.086354+0.057483
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## [133] train-mlogloss:0.004264+0.000054 test-mlogloss:1.087528+0.057297
## [134] train-mlogloss:0.004239+0.000051 test-mlogloss:1.088136+0.056699
## [135] train-mlogloss:0.004219+0.000050 test-mlogloss:1.088526+0.057891
## [136] train-mlogloss:0.004197+0.000049 test-mlogloss:1.089974+0.057567
## [137] train-mlogloss:0.004173+0.000050 test-mlogloss:1.090732+0.058307
## [138] train-mlogloss:0.004152+0.000051 test-mlogloss:1.090976+0.058557
## [139] train-mlogloss:0.004129+0.000052 test-mlogloss:1.092850+0.059334
## [140] train-mlogloss:0.004110+0.000052 test-mlogloss:1.093567+0.059284
## [141] train-mlogloss:0.004090+0.000054 test-mlogloss:1.095405+0.060432
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## [146] train-mlogloss:0.003986+0.000051 test-mlogloss:1.098825+0.060708
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## [148] train-mlogloss:0.003948+0.000050 test-mlogloss:1.100765+0.061018
## [149] train-mlogloss:0.003928+0.000053 test-mlogloss:1.102387+0.060543
## [150] train-mlogloss:0.003912+0.000054 test-mlogloss:1.103262+0.060354
## [151] train-mlogloss:0.003898+0.000055 test-mlogloss:1.104019+0.060965
## [152] train-mlogloss:0.003882+0.000054 test-mlogloss:1.105286+0.061175
## [153] train-mlogloss:0.003861+0.000052 test-mlogloss:1.104814+0.060574
## [154] train-mlogloss:0.003840+0.000052 test-mlogloss:1.105449+0.060632
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## [156] train-mlogloss:0.003802+0.000054 test-mlogloss:1.106695+0.061535
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## [160] train-mlogloss:0.003736+0.000053 test-mlogloss:1.109497+0.060154
## [161] train-mlogloss:0.003725+0.000051 test-mlogloss:1.110512+0.060854
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## [170] train-mlogloss:0.003585+0.000050 test-mlogloss:1.115445+0.063548
## [171] train-mlogloss:0.003571+0.000048 test-mlogloss:1.116530+0.063524
## [172] train-mlogloss:0.003554+0.000045 test-mlogloss:1.116995+0.062842
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## [176] train-mlogloss:0.003496+0.000040 test-mlogloss:1.119040+0.063111
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## [179] train-mlogloss:0.003457+0.000039 test-mlogloss:1.120827+0.062907
## [180] train-mlogloss:0.003444+0.000038 test-mlogloss:1.120572+0.063163
## [181] train-mlogloss:0.003433+0.000041 test-mlogloss:1.121583+0.063638
## [182] train-mlogloss:0.003420+0.000040 test-mlogloss:1.122802+0.063548
## [183] train-mlogloss:0.003409+0.000040 test-mlogloss:1.123203+0.062345
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## [189] train-mlogloss:0.003340+0.000038 test-mlogloss:1.127082+0.063593
## [190] train-mlogloss:0.003328+0.000037 test-mlogloss:1.127272+0.063232
## [191] train-mlogloss:0.003317+0.000038 test-mlogloss:1.127943+0.062279
## [192] train-mlogloss:0.003305+0.000038 test-mlogloss:1.128442+0.062340
## [193] train-mlogloss:0.003293+0.000040 test-mlogloss:1.128435+0.061447
## [194] train-mlogloss:0.003280+0.000040 test-mlogloss:1.129477+0.062918
## [195] train-mlogloss:0.003268+0.000039 test-mlogloss:1.129774+0.061256
## [196] train-mlogloss:0.003256+0.000039 test-mlogloss:1.131332+0.062459
## [197] train-mlogloss:0.003247+0.000039 test-mlogloss:1.130392+0.062371
## [198] train-mlogloss:0.003235+0.000040 test-mlogloss:1.130218+0.062753
## [199] train-mlogloss:0.003225+0.000039 test-mlogloss:1.130468+0.064126
## [200] train-mlogloss:0.003214+0.000038 test-mlogloss:1.131687+0.063814
## [201] train-mlogloss:0.003204+0.000037 test-mlogloss:1.132394+0.063543
## [202] train-mlogloss:0.003193+0.000037 test-mlogloss:1.132024+0.061833
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## [206] train-mlogloss:0.003155+0.000034 test-mlogloss:1.135679+0.062653
## [207] train-mlogloss:0.003144+0.000033 test-mlogloss:1.134193+0.062317
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## [209] train-mlogloss:0.003124+0.000034 test-mlogloss:1.135944+0.063168
## [210] train-mlogloss:0.003114+0.000034 test-mlogloss:1.137215+0.063114
## [211] train-mlogloss:0.003104+0.000034 test-mlogloss:1.136989+0.062630
## [212] train-mlogloss:0.003095+0.000032 test-mlogloss:1.137237+0.063272
## [213] train-mlogloss:0.003087+0.000033 test-mlogloss:1.137810+0.063308
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## [215] train-mlogloss:0.003066+0.000033 test-mlogloss:1.138117+0.063981
## [216] train-mlogloss:0.003056+0.000032 test-mlogloss:1.139165+0.064723
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## [218] train-mlogloss:0.003038+0.000031 test-mlogloss:1.140211+0.064855
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## [221] train-mlogloss:0.003013+0.000031 test-mlogloss:1.143108+0.064940
## [222] train-mlogloss:0.003004+0.000031 test-mlogloss:1.143485+0.065229
## [223] train-mlogloss:0.002998+0.000033 test-mlogloss:1.143415+0.064846
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## [226] train-mlogloss:0.002973+0.000031 test-mlogloss:1.144498+0.064735
## [227] train-mlogloss:0.002964+0.000030 test-mlogloss:1.144722+0.065766
## [228] train-mlogloss:0.002958+0.000031 test-mlogloss:1.145935+0.065201
## [229] train-mlogloss:0.002949+0.000030 test-mlogloss:1.146415+0.065384
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## [231] train-mlogloss:0.002930+0.000031 test-mlogloss:1.146141+0.065350
## [232] train-mlogloss:0.002922+0.000030 test-mlogloss:1.146144+0.066056
## [233] train-mlogloss:0.002915+0.000030 test-mlogloss:1.146436+0.065472
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## [235] train-mlogloss:0.002899+0.000030 test-mlogloss:1.147447+0.065146
## [236] train-mlogloss:0.002890+0.000030 test-mlogloss:1.148078+0.064264
## [237] train-mlogloss:0.002882+0.000031 test-mlogloss:1.147741+0.064363
## [238] train-mlogloss:0.002874+0.000031 test-mlogloss:1.148165+0.064545
## [239] train-mlogloss:0.002865+0.000031 test-mlogloss:1.148902+0.064455
## [240] train-mlogloss:0.002859+0.000032 test-mlogloss:1.149282+0.064622
## [241] train-mlogloss:0.002850+0.000032 test-mlogloss:1.149402+0.064353
## [242] train-mlogloss:0.002843+0.000031 test-mlogloss:1.149693+0.064944
## [243] train-mlogloss:0.002837+0.000031 test-mlogloss:1.150165+0.064864
## [244] train-mlogloss:0.002829+0.000031 test-mlogloss:1.150518+0.065420
## [245] train-mlogloss:0.002821+0.000030 test-mlogloss:1.151288+0.065402
## [246] train-mlogloss:0.002814+0.000031 test-mlogloss:1.151520+0.064998
## [247] train-mlogloss:0.002806+0.000030 test-mlogloss:1.151977+0.064215
## [248] train-mlogloss:0.002797+0.000029 test-mlogloss:1.152419+0.065335
## [249] train-mlogloss:0.002790+0.000029 test-mlogloss:1.152741+0.065544
## [250] train-mlogloss:0.002783+0.000028 test-mlogloss:1.152014+0.065954
## [251] train-mlogloss:0.002777+0.000030 test-mlogloss:1.152768+0.066654
## [252] train-mlogloss:0.002769+0.000030 test-mlogloss:1.152435+0.066233
## [253] train-mlogloss:0.002763+0.000030 test-mlogloss:1.153842+0.066382
## [254] train-mlogloss:0.002755+0.000029 test-mlogloss:1.153791+0.067740
## [255] train-mlogloss:0.002748+0.000030 test-mlogloss:1.153927+0.067843
## [256] train-mlogloss:0.002742+0.000029 test-mlogloss:1.153692+0.066531
## [257] train-mlogloss:0.002734+0.000030 test-mlogloss:1.155592+0.066684
## [258] train-mlogloss:0.002727+0.000030 test-mlogloss:1.155782+0.067065
## [259] train-mlogloss:0.002720+0.000029 test-mlogloss:1.155726+0.066040
## [260] train-mlogloss:0.002713+0.000029 test-mlogloss:1.156832+0.066554
## [261] train-mlogloss:0.002707+0.000028 test-mlogloss:1.157044+0.066988
## [262] train-mlogloss:0.002702+0.000027 test-mlogloss:1.156105+0.067208
## [263] train-mlogloss:0.002696+0.000026 test-mlogloss:1.156303+0.068044
## [264] train-mlogloss:0.002690+0.000026 test-mlogloss:1.156906+0.068196
## [265] train-mlogloss:0.002684+0.000027 test-mlogloss:1.156726+0.067111
## [266] train-mlogloss:0.002679+0.000026 test-mlogloss:1.156776+0.068272
## [267] train-mlogloss:0.002673+0.000027 test-mlogloss:1.157221+0.068736
## [268] train-mlogloss:0.002666+0.000026 test-mlogloss:1.157649+0.068219
## [269] train-mlogloss:0.002662+0.000026 test-mlogloss:1.159054+0.068038
## [270] train-mlogloss:0.002656+0.000027 test-mlogloss:1.158925+0.066657
## [271] train-mlogloss:0.002649+0.000026 test-mlogloss:1.159230+0.065880
## [272] train-mlogloss:0.002643+0.000026 test-mlogloss:1.159569+0.066569
## [273] train-mlogloss:0.002637+0.000027 test-mlogloss:1.159250+0.066139
## [274] train-mlogloss:0.002632+0.000025 test-mlogloss:1.160066+0.066710
## [275] train-mlogloss:0.002626+0.000025 test-mlogloss:1.160425+0.067146
## [276] train-mlogloss:0.002620+0.000024 test-mlogloss:1.161214+0.066653
## [277] train-mlogloss:0.002615+0.000023 test-mlogloss:1.160512+0.066853
## [278] train-mlogloss:0.002609+0.000023 test-mlogloss:1.161264+0.067657
## [279] train-mlogloss:0.002603+0.000023 test-mlogloss:1.161723+0.067938
## [280] train-mlogloss:0.002597+0.000024 test-mlogloss:1.162754+0.067945
## [281] train-mlogloss:0.002592+0.000024 test-mlogloss:1.162778+0.068183
## [282] train-mlogloss:0.002585+0.000024 test-mlogloss:1.162909+0.068383
## [283] train-mlogloss:0.002578+0.000024 test-mlogloss:1.162828+0.068538
## [284] train-mlogloss:0.002573+0.000024 test-mlogloss:1.163079+0.068416
## [285] train-mlogloss:0.002567+0.000024 test-mlogloss:1.163304+0.068146
## [286] train-mlogloss:0.002561+0.000024 test-mlogloss:1.163887+0.068482
## [287] train-mlogloss:0.002555+0.000024 test-mlogloss:1.164126+0.069039
## [288] train-mlogloss:0.002551+0.000025 test-mlogloss:1.164044+0.069200
## [289] train-mlogloss:0.002545+0.000025 test-mlogloss:1.165172+0.068649
## [290] train-mlogloss:0.002541+0.000026 test-mlogloss:1.165480+0.067882
## [291] train-mlogloss:0.002535+0.000025 test-mlogloss:1.165902+0.068390
## [292] train-mlogloss:0.002530+0.000025 test-mlogloss:1.166252+0.068546
## [293] train-mlogloss:0.002523+0.000024 test-mlogloss:1.165946+0.068032
## [294] train-mlogloss:0.002518+0.000025 test-mlogloss:1.166426+0.067827
## [295] train-mlogloss:0.002513+0.000025 test-mlogloss:1.167240+0.068272
## [296] train-mlogloss:0.002507+0.000025 test-mlogloss:1.168086+0.067474
## [297] train-mlogloss:0.002501+0.000026 test-mlogloss:1.167372+0.066782
## [298] train-mlogloss:0.002496+0.000026 test-mlogloss:1.167934+0.066556
## [299] train-mlogloss:0.002491+0.000026 test-mlogloss:1.167936+0.067476
## [300] train-mlogloss:0.002486+0.000026 test-mlogloss:1.167945+0.066838
## [301] train-mlogloss:0.002481+0.000026 test-mlogloss:1.168511+0.067709
## [302] train-mlogloss:0.002477+0.000026 test-mlogloss:1.168577+0.068310
## [303] train-mlogloss:0.002471+0.000026 test-mlogloss:1.168906+0.067799
## [304] train-mlogloss:0.002467+0.000026 test-mlogloss:1.169683+0.068098
## [305] train-mlogloss:0.002462+0.000026 test-mlogloss:1.169981+0.067188
## [306] train-mlogloss:0.002457+0.000027 test-mlogloss:1.170775+0.067525
## [307] train-mlogloss:0.002451+0.000027 test-mlogloss:1.170951+0.068047
## [308] train-mlogloss:0.002446+0.000026 test-mlogloss:1.171008+0.068565
## [309] train-mlogloss:0.002443+0.000025 test-mlogloss:1.172094+0.068272
## [310] train-mlogloss:0.002438+0.000026 test-mlogloss:1.172257+0.068217
## [311] train-mlogloss:0.002433+0.000026 test-mlogloss:1.171861+0.068199
## [312] train-mlogloss:0.002429+0.000025 test-mlogloss:1.172100+0.069197
## [313] train-mlogloss:0.002424+0.000024 test-mlogloss:1.172716+0.069357
## [314] train-mlogloss:0.002419+0.000025 test-mlogloss:1.173273+0.069348
## [315] train-mlogloss:0.002415+0.000025 test-mlogloss:1.174401+0.070108
## [316] train-mlogloss:0.002410+0.000026 test-mlogloss:1.173946+0.069055
## [317] train-mlogloss:0.002405+0.000026 test-mlogloss:1.174210+0.069310
## [318] train-mlogloss:0.002401+0.000026 test-mlogloss:1.174356+0.068541
## [319] train-mlogloss:0.002397+0.000026 test-mlogloss:1.173800+0.068686
## [320] train-mlogloss:0.002392+0.000027 test-mlogloss:1.174060+0.069048
## [321] train-mlogloss:0.002388+0.000026 test-mlogloss:1.174868+0.069257
## [322] train-mlogloss:0.002383+0.000026 test-mlogloss:1.174359+0.069207
## [323] train-mlogloss:0.002378+0.000026 test-mlogloss:1.174741+0.069085
## [324] train-mlogloss:0.002375+0.000027 test-mlogloss:1.175545+0.068574
## [325] train-mlogloss:0.002371+0.000028 test-mlogloss:1.176527+0.069308
## [326] train-mlogloss:0.002365+0.000026 test-mlogloss:1.176751+0.068412
## [327] train-mlogloss:0.002361+0.000026 test-mlogloss:1.176944+0.068115
## [328] train-mlogloss:0.002357+0.000025 test-mlogloss:1.178441+0.068309
## [329] train-mlogloss:0.002353+0.000026 test-mlogloss:1.179035+0.068249
## [330] train-mlogloss:0.002349+0.000026 test-mlogloss:1.178899+0.067572
## [331] train-mlogloss:0.002345+0.000024 test-mlogloss:1.177924+0.068841
## [332] train-mlogloss:0.002340+0.000023 test-mlogloss:1.177851+0.068470
## [333] train-mlogloss:0.002335+0.000023 test-mlogloss:1.177295+0.069428
## [334] train-mlogloss:0.002331+0.000023 test-mlogloss:1.177918+0.068684
## [335] train-mlogloss:0.002326+0.000023 test-mlogloss:1.178130+0.068182
## [336] train-mlogloss:0.002323+0.000023 test-mlogloss:1.177919+0.067723
## [337] train-mlogloss:0.002318+0.000024 test-mlogloss:1.179339+0.068367
## [338] train-mlogloss:0.002313+0.000023 test-mlogloss:1.179280+0.069168
## [339] train-mlogloss:0.002310+0.000023 test-mlogloss:1.178312+0.068096
## [340] train-mlogloss:0.002306+0.000023 test-mlogloss:1.178747+0.067398
## [341] train-mlogloss:0.002302+0.000023 test-mlogloss:1.178846+0.067980
## [342] train-mlogloss:0.002298+0.000024 test-mlogloss:1.179751+0.067563
## [343] train-mlogloss:0.002295+0.000024 test-mlogloss:1.179985+0.067512
## [344] train-mlogloss:0.002292+0.000024 test-mlogloss:1.180418+0.067936
## [345] train-mlogloss:0.002287+0.000023 test-mlogloss:1.180050+0.067835
## [346] train-mlogloss:0.002283+0.000023 test-mlogloss:1.179451+0.066806
## [347] train-mlogloss:0.002279+0.000023 test-mlogloss:1.180268+0.066855
## [348] train-mlogloss:0.002275+0.000022 test-mlogloss:1.181254+0.066635
## [349] train-mlogloss:0.002271+0.000021 test-mlogloss:1.181737+0.067225
## [350] train-mlogloss:0.002268+0.000021 test-mlogloss:1.181464+0.066718
## [351] train-mlogloss:0.002265+0.000021 test-mlogloss:1.181074+0.067490
## [352] train-mlogloss:0.002260+0.000020 test-mlogloss:1.181508+0.066271
## [353] train-mlogloss:0.002255+0.000021 test-mlogloss:1.181857+0.066046
## [354] train-mlogloss:0.002250+0.000020 test-mlogloss:1.182268+0.066213
## [355] train-mlogloss:0.002246+0.000021 test-mlogloss:1.182857+0.067416
## [356] train-mlogloss:0.002243+0.000019 test-mlogloss:1.183342+0.067032
## [357] train-mlogloss:0.002239+0.000019 test-mlogloss:1.183435+0.066968
## [358] train-mlogloss:0.002236+0.000019 test-mlogloss:1.183888+0.067115
## [359] train-mlogloss:0.002232+0.000018 test-mlogloss:1.183053+0.066137
## [360] train-mlogloss:0.002229+0.000018 test-mlogloss:1.183163+0.065786
## [361] train-mlogloss:0.002225+0.000019 test-mlogloss:1.183181+0.067540
## [362] train-mlogloss:0.002221+0.000019 test-mlogloss:1.183286+0.067306
## [363] train-mlogloss:0.002218+0.000018 test-mlogloss:1.183481+0.067127
## [364] train-mlogloss:0.002215+0.000017 test-mlogloss:1.183090+0.066133
## [365] train-mlogloss:0.002212+0.000017 test-mlogloss:1.183219+0.067257
## [366] train-mlogloss:0.002209+0.000017 test-mlogloss:1.183762+0.067103
## [367] train-mlogloss:0.002205+0.000017 test-mlogloss:1.185126+0.066926
## [368] train-mlogloss:0.002201+0.000018 test-mlogloss:1.185310+0.067009
## [369] train-mlogloss:0.002197+0.000017 test-mlogloss:1.185776+0.066217
## [370] train-mlogloss:0.002194+0.000018 test-mlogloss:1.186740+0.067022
## [371] train-mlogloss:0.002192+0.000018 test-mlogloss:1.187508+0.067930
## [372] train-mlogloss:0.002187+0.000017 test-mlogloss:1.187338+0.067513
## [373] train-mlogloss:0.002184+0.000018 test-mlogloss:1.187809+0.066783
## [374] train-mlogloss:0.002179+0.000019 test-mlogloss:1.187317+0.067585
## [375] train-mlogloss:0.002177+0.000019 test-mlogloss:1.187480+0.068665
## [376] train-mlogloss:0.002174+0.000018 test-mlogloss:1.188274+0.069033
## [377] train-mlogloss:0.002171+0.000018 test-mlogloss:1.188268+0.068170
## [378] train-mlogloss:0.002167+0.000018 test-mlogloss:1.188261+0.067982
## [379] train-mlogloss:0.002165+0.000018 test-mlogloss:1.189391+0.068023
## [380] train-mlogloss:0.002162+0.000018 test-mlogloss:1.189551+0.067572
## [381] train-mlogloss:0.002158+0.000018 test-mlogloss:1.189759+0.068275
## [382] train-mlogloss:0.002154+0.000018 test-mlogloss:1.189922+0.067998
## [383] train-mlogloss:0.002151+0.000018 test-mlogloss:1.189699+0.067926
## [384] train-mlogloss:0.002148+0.000017 test-mlogloss:1.189907+0.066849
## [385] train-mlogloss:0.002144+0.000018 test-mlogloss:1.190646+0.067190
## [386] train-mlogloss:0.002141+0.000017 test-mlogloss:1.190407+0.067349
## [387] train-mlogloss:0.002137+0.000017 test-mlogloss:1.190913+0.067098
## [388] train-mlogloss:0.002134+0.000017 test-mlogloss:1.190824+0.067351
## [389] train-mlogloss:0.002131+0.000017 test-mlogloss:1.191140+0.067213
## [390] train-mlogloss:0.002128+0.000017 test-mlogloss:1.190618+0.068282
## [391] train-mlogloss:0.002126+0.000017 test-mlogloss:1.190860+0.068159
## [392] train-mlogloss:0.002123+0.000018 test-mlogloss:1.191170+0.069227
## [393] train-mlogloss:0.002119+0.000018 test-mlogloss:1.191804+0.068749
## [394] train-mlogloss:0.002117+0.000017 test-mlogloss:1.191302+0.068713
## [395] train-mlogloss:0.002114+0.000017 test-mlogloss:1.191963+0.068652
## [396] train-mlogloss:0.002111+0.000018 test-mlogloss:1.192345+0.069289
## [397] train-mlogloss:0.002108+0.000017 test-mlogloss:1.191758+0.069216
## [398] train-mlogloss:0.002105+0.000017 test-mlogloss:1.191954+0.070086
## [399] train-mlogloss:0.002103+0.000017 test-mlogloss:1.191828+0.069323
## [400] train-mlogloss:0.002100+0.000017 test-mlogloss:1.191029+0.068148
## [401] train-mlogloss:0.002097+0.000017 test-mlogloss:1.191287+0.068394
## [402] train-mlogloss:0.002095+0.000019 test-mlogloss:1.192891+0.068803
## [403] train-mlogloss:0.002092+0.000018 test-mlogloss:1.192573+0.068547
## [404] train-mlogloss:0.002088+0.000018 test-mlogloss:1.192648+0.068784
## [405] train-mlogloss:0.002086+0.000018 test-mlogloss:1.192903+0.068329
## [406] train-mlogloss:0.002084+0.000017 test-mlogloss:1.193030+0.068330
## [407] train-mlogloss:0.002080+0.000016 test-mlogloss:1.194323+0.068299
## [408] train-mlogloss:0.002077+0.000017 test-mlogloss:1.194212+0.068484
## [409] train-mlogloss:0.002074+0.000017 test-mlogloss:1.194796+0.068627
## [410] train-mlogloss:0.002071+0.000017 test-mlogloss:1.194609+0.068691
## [411] train-mlogloss:0.002068+0.000018 test-mlogloss:1.195354+0.068328
## [412] train-mlogloss:0.002065+0.000017 test-mlogloss:1.196804+0.069100
## [413] train-mlogloss:0.002062+0.000017 test-mlogloss:1.197109+0.069251
## [414] train-mlogloss:0.002059+0.000017 test-mlogloss:1.196100+0.068823
## [415] train-mlogloss:0.002057+0.000018 test-mlogloss:1.196371+0.069428
## [416] train-mlogloss:0.002053+0.000017 test-mlogloss:1.196279+0.068998
## [417] train-mlogloss:0.002051+0.000017 test-mlogloss:1.196722+0.068987
## [418] train-mlogloss:0.002048+0.000016 test-mlogloss:1.196559+0.069122
## [419] train-mlogloss:0.002045+0.000017 test-mlogloss:1.197157+0.069650
## [420] train-mlogloss:0.002041+0.000018 test-mlogloss:1.197960+0.069613
## [421] train-mlogloss:0.002038+0.000017 test-mlogloss:1.197574+0.069709
## [422] train-mlogloss:0.002036+0.000017 test-mlogloss:1.198016+0.069564
## [423] train-mlogloss:0.002033+0.000017 test-mlogloss:1.198194+0.069556
## [424] train-mlogloss:0.002030+0.000017 test-mlogloss:1.198269+0.069228
## [425] train-mlogloss:0.002027+0.000018 test-mlogloss:1.197732+0.068998
## [426] train-mlogloss:0.002025+0.000018 test-mlogloss:1.198214+0.068849
## [427] train-mlogloss:0.002022+0.000018 test-mlogloss:1.198826+0.068673
## [428] train-mlogloss:0.002019+0.000017 test-mlogloss:1.198712+0.068664
## [429] train-mlogloss:0.002017+0.000017 test-mlogloss:1.198584+0.068527
## [430] train-mlogloss:0.002013+0.000017 test-mlogloss:1.198382+0.067853
## [431] train-mlogloss:0.002011+0.000016 test-mlogloss:1.198171+0.068036
## [432] train-mlogloss:0.002008+0.000016 test-mlogloss:1.198709+0.067697
## [433] train-mlogloss:0.002006+0.000016 test-mlogloss:1.198787+0.068082
## [434] train-mlogloss:0.002003+0.000016 test-mlogloss:1.199555+0.068537
## [435] train-mlogloss:0.002000+0.000015 test-mlogloss:1.199866+0.068049
## [436] train-mlogloss:0.001997+0.000016 test-mlogloss:1.199445+0.068189
## [437] train-mlogloss:0.001995+0.000015 test-mlogloss:1.199998+0.068161
## [438] train-mlogloss:0.001993+0.000015 test-mlogloss:1.200789+0.067943
## [439] train-mlogloss:0.001990+0.000016 test-mlogloss:1.201232+0.067616
## [440] train-mlogloss:0.001987+0.000016 test-mlogloss:1.201362+0.068218
## [441] train-mlogloss:0.001984+0.000016 test-mlogloss:1.201255+0.067588
## [442] train-mlogloss:0.001981+0.000017 test-mlogloss:1.201303+0.067664
## [443] train-mlogloss:0.001979+0.000017 test-mlogloss:1.201232+0.067570
## [444] train-mlogloss:0.001977+0.000017 test-mlogloss:1.201354+0.067322
## [445] train-mlogloss:0.001974+0.000018 test-mlogloss:1.202329+0.067364
## [446] train-mlogloss:0.001972+0.000017 test-mlogloss:1.202923+0.067537
## [447] train-mlogloss:0.001970+0.000018 test-mlogloss:1.202605+0.067768
## [448] train-mlogloss:0.001967+0.000017 test-mlogloss:1.204156+0.067018
## [449] train-mlogloss:0.001965+0.000017 test-mlogloss:1.203591+0.067553
## [450] train-mlogloss:0.001962+0.000017 test-mlogloss:1.203610+0.066770
## [451] train-mlogloss:0.001959+0.000017 test-mlogloss:1.204269+0.067255
## [452] train-mlogloss:0.001957+0.000017 test-mlogloss:1.204304+0.067373
## [453] train-mlogloss:0.001955+0.000017 test-mlogloss:1.204320+0.067457
## [454] train-mlogloss:0.001952+0.000017 test-mlogloss:1.204660+0.066646
## [455] train-mlogloss:0.001950+0.000016 test-mlogloss:1.204641+0.067233
## [456] train-mlogloss:0.001947+0.000016 test-mlogloss:1.204724+0.067596
## [457] train-mlogloss:0.001944+0.000016 test-mlogloss:1.205890+0.067134
## [458] train-mlogloss:0.001942+0.000016 test-mlogloss:1.205765+0.067476
## [459] train-mlogloss:0.001939+0.000016 test-mlogloss:1.206299+0.067440
## [460] train-mlogloss:0.001937+0.000017 test-mlogloss:1.206456+0.067977
## [461] train-mlogloss:0.001935+0.000017 test-mlogloss:1.206681+0.067971
## [462] train-mlogloss:0.001933+0.000018 test-mlogloss:1.205585+0.067861
## [463] train-mlogloss:0.001931+0.000018 test-mlogloss:1.206183+0.067674
## [464] train-mlogloss:0.001929+0.000018 test-mlogloss:1.206797+0.068378
## [465] train-mlogloss:0.001926+0.000017 test-mlogloss:1.207311+0.067600
## [466] train-mlogloss:0.001923+0.000018 test-mlogloss:1.208210+0.067100
## [467] train-mlogloss:0.001921+0.000018 test-mlogloss:1.208692+0.066624
## [468] train-mlogloss:0.001919+0.000018 test-mlogloss:1.208078+0.067079
## [469] train-mlogloss:0.001916+0.000018 test-mlogloss:1.208428+0.066333
## [470] train-mlogloss:0.001914+0.000017 test-mlogloss:1.208733+0.066727
## [471] train-mlogloss:0.001911+0.000017 test-mlogloss:1.209170+0.067310
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## [473] train-mlogloss:0.001908+0.000017 test-mlogloss:1.209706+0.066484
## [474] train-mlogloss:0.001905+0.000017 test-mlogloss:1.210042+0.066841
## [475] train-mlogloss:0.001903+0.000017 test-mlogloss:1.209598+0.066527
## [476] train-mlogloss:0.001900+0.000017 test-mlogloss:1.209690+0.066767
## [477] train-mlogloss:0.001898+0.000017 test-mlogloss:1.210488+0.067177
## [478] train-mlogloss:0.001895+0.000017 test-mlogloss:1.210631+0.066333
## [479] train-mlogloss:0.001893+0.000017 test-mlogloss:1.211217+0.066181
## [480] train-mlogloss:0.001891+0.000018 test-mlogloss:1.210517+0.066941
## [481] train-mlogloss:0.001889+0.000017 test-mlogloss:1.211016+0.067080
## [482] train-mlogloss:0.001888+0.000018 test-mlogloss:1.212425+0.067063
## [483] train-mlogloss:0.001885+0.000018 test-mlogloss:1.212846+0.067004
## [484] train-mlogloss:0.001883+0.000018 test-mlogloss:1.212238+0.066827
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## [486] train-mlogloss:0.001878+0.000018 test-mlogloss:1.212664+0.067072
## [487] train-mlogloss:0.001876+0.000019 test-mlogloss:1.212584+0.066998
## [488] train-mlogloss:0.001873+0.000018 test-mlogloss:1.212799+0.066892
## [489] train-mlogloss:0.001871+0.000018 test-mlogloss:1.213254+0.067037
## [490] train-mlogloss:0.001869+0.000019 test-mlogloss:1.214244+0.066602
## [491] train-mlogloss:0.001867+0.000018 test-mlogloss:1.213545+0.066434
## [492] train-mlogloss:0.001865+0.000017 test-mlogloss:1.214050+0.066326
## [493] train-mlogloss:0.001862+0.000017 test-mlogloss:1.213292+0.065087
## [494] train-mlogloss:0.001860+0.000018 test-mlogloss:1.214339+0.066130
## [495] train-mlogloss:0.001858+0.000018 test-mlogloss:1.214571+0.066048
## [496] train-mlogloss:0.001856+0.000017 test-mlogloss:1.214825+0.066283
## [497] train-mlogloss:0.001855+0.000017 test-mlogloss:1.215230+0.066702
## [498] train-mlogloss:0.001852+0.000017 test-mlogloss:1.215658+0.066772
## [499] train-mlogloss:0.001851+0.000017 test-mlogloss:1.215225+0.066547
## [500] train-mlogloss:0.001848+0.000017 test-mlogloss:1.215204+0.067144
## [1] train-mlogloss:0.614905+0.000567 test-mlogloss:0.621929+0.003760
## [2] train-mlogloss:0.570888+0.001401 test-mlogloss:0.583800+0.005152
## [3] train-mlogloss:0.543067+0.002111 test-mlogloss:0.562146+0.006452
## [4] train-mlogloss:0.525228+0.002617 test-mlogloss:0.549869+0.007706
## [5] train-mlogloss:0.512897+0.002614 test-mlogloss:0.542353+0.008894
## [6] train-mlogloss:0.503469+0.002535 test-mlogloss:0.537876+0.009506
## [7] train-mlogloss:0.496262+0.002935 test-mlogloss:0.535605+0.009757
## [8] train-mlogloss:0.490433+0.002906 test-mlogloss:0.534457+0.009610
## [9] train-mlogloss:0.485072+0.002813 test-mlogloss:0.533911+0.010378
## [10] train-mlogloss:0.480820+0.002816 test-mlogloss:0.533951+0.010916
## [11] train-mlogloss:0.477384+0.002087 test-mlogloss:0.534015+0.010791
## [12] train-mlogloss:0.473777+0.001929 test-mlogloss:0.533944+0.010934
## [13] train-mlogloss:0.470349+0.002391 test-mlogloss:0.534965+0.011381
## [14] train-mlogloss:0.467316+0.002987 test-mlogloss:0.535218+0.011412
## [15] train-mlogloss:0.464263+0.003204 test-mlogloss:0.535579+0.011808
## [16] train-mlogloss:0.460981+0.003300 test-mlogloss:0.536053+0.011871
## [17] train-mlogloss:0.457829+0.003248 test-mlogloss:0.537293+0.012194
## [18] train-mlogloss:0.454564+0.003134 test-mlogloss:0.537786+0.012239
## [19] train-mlogloss:0.450966+0.003576 test-mlogloss:0.538002+0.012353
## [20] train-mlogloss:0.448570+0.003328 test-mlogloss:0.538074+0.012572
## [21] train-mlogloss:0.446069+0.003161 test-mlogloss:0.538683+0.012491
## [22] train-mlogloss:0.443320+0.004115 test-mlogloss:0.539530+0.012906
## [23] train-mlogloss:0.440633+0.004335 test-mlogloss:0.539664+0.012723
## [24] train-mlogloss:0.438166+0.004616 test-mlogloss:0.540158+0.012622
## [25] train-mlogloss:0.435172+0.004343 test-mlogloss:0.540509+0.012661
## [26] train-mlogloss:0.432831+0.004935 test-mlogloss:0.541156+0.012593
## [27] train-mlogloss:0.430648+0.005045 test-mlogloss:0.541676+0.012481
## [28] train-mlogloss:0.427774+0.005212 test-mlogloss:0.542522+0.012493
## [29] train-mlogloss:0.424738+0.004852 test-mlogloss:0.543091+0.012453
## [30] train-mlogloss:0.422110+0.004894 test-mlogloss:0.543343+0.011852
## [31] train-mlogloss:0.419022+0.004543 test-mlogloss:0.544132+0.012052
## [32] train-mlogloss:0.416480+0.004550 test-mlogloss:0.544681+0.012266
## [33] train-mlogloss:0.413491+0.004921 test-mlogloss:0.545442+0.012076
## [34] train-mlogloss:0.411047+0.004973 test-mlogloss:0.546135+0.012166
## [35] train-mlogloss:0.408526+0.005232 test-mlogloss:0.546738+0.011860
## [36] train-mlogloss:0.406329+0.004683 test-mlogloss:0.546661+0.011579
## [37] train-mlogloss:0.403799+0.004701 test-mlogloss:0.547193+0.011408
## [38] train-mlogloss:0.401213+0.004572 test-mlogloss:0.547216+0.011395
## [39] train-mlogloss:0.398994+0.005030 test-mlogloss:0.547838+0.011582
## [40] train-mlogloss:0.396805+0.005529 test-mlogloss:0.548682+0.011523
## [41] train-mlogloss:0.393986+0.005302 test-mlogloss:0.549215+0.011645
## [42] train-mlogloss:0.391350+0.004738 test-mlogloss:0.549436+0.011906
## [43] train-mlogloss:0.388640+0.005037 test-mlogloss:0.549816+0.011596
## [44] train-mlogloss:0.385439+0.005250 test-mlogloss:0.550189+0.011595
## [45] train-mlogloss:0.382770+0.005233 test-mlogloss:0.551027+0.012361
## [46] train-mlogloss:0.380373+0.005261 test-mlogloss:0.551652+0.012719
## [47] train-mlogloss:0.378460+0.005669 test-mlogloss:0.551787+0.012230
## [48] train-mlogloss:0.376641+0.005381 test-mlogloss:0.552310+0.012391
## [49] train-mlogloss:0.374403+0.005570 test-mlogloss:0.552930+0.012216
## [50] train-mlogloss:0.371719+0.005115 test-mlogloss:0.553396+0.011713
## [51] train-mlogloss:0.369299+0.005200 test-mlogloss:0.554255+0.011845
## [52] train-mlogloss:0.367016+0.005262 test-mlogloss:0.554374+0.011862
## [53] train-mlogloss:0.364850+0.004941 test-mlogloss:0.554985+0.011423
## [54] train-mlogloss:0.362593+0.005031 test-mlogloss:0.555598+0.011268
## [55] train-mlogloss:0.360484+0.005490 test-mlogloss:0.555681+0.011551
## [56] train-mlogloss:0.358309+0.005191 test-mlogloss:0.556322+0.012031
## [57] train-mlogloss:0.355831+0.005396 test-mlogloss:0.557330+0.012004
## [58] train-mlogloss:0.353418+0.005486 test-mlogloss:0.557551+0.011947
## [59] train-mlogloss:0.351577+0.005771 test-mlogloss:0.557963+0.012379
## [60] train-mlogloss:0.349680+0.005971 test-mlogloss:0.558425+0.012736
## [61] train-mlogloss:0.347658+0.006238 test-mlogloss:0.559132+0.012772
## [62] train-mlogloss:0.345665+0.006308 test-mlogloss:0.559252+0.012883
## [63] train-mlogloss:0.343275+0.006576 test-mlogloss:0.559362+0.012560
## [64] train-mlogloss:0.340848+0.006221 test-mlogloss:0.559909+0.011899
## [65] train-mlogloss:0.338799+0.006136 test-mlogloss:0.560729+0.011612
## [66] train-mlogloss:0.336930+0.006088 test-mlogloss:0.561038+0.011905
## [67] train-mlogloss:0.334435+0.006127 test-mlogloss:0.561162+0.012113
## [68] train-mlogloss:0.332220+0.006079 test-mlogloss:0.562211+0.012180
## [69] train-mlogloss:0.330098+0.005891 test-mlogloss:0.562888+0.012350
## [70] train-mlogloss:0.327771+0.005432 test-mlogloss:0.563698+0.012400
## [71] train-mlogloss:0.325932+0.005664 test-mlogloss:0.564351+0.012821
## [72] train-mlogloss:0.323848+0.005289 test-mlogloss:0.564945+0.013234
## [73] train-mlogloss:0.321480+0.005330 test-mlogloss:0.565640+0.013091
## [74] train-mlogloss:0.319380+0.005404 test-mlogloss:0.566037+0.013540
## [75] train-mlogloss:0.317672+0.005408 test-mlogloss:0.566559+0.013896
## [76] train-mlogloss:0.315839+0.005478 test-mlogloss:0.566326+0.013483
## [77] train-mlogloss:0.313946+0.005866 test-mlogloss:0.566816+0.013447
## [78] train-mlogloss:0.312089+0.005705 test-mlogloss:0.567325+0.013565
## [79] train-mlogloss:0.310119+0.006083 test-mlogloss:0.567820+0.013917
## [80] train-mlogloss:0.308093+0.006171 test-mlogloss:0.568680+0.014379
## [81] train-mlogloss:0.306268+0.005967 test-mlogloss:0.569648+0.014352
## [82] train-mlogloss:0.304633+0.006261 test-mlogloss:0.570345+0.014203
## [83] train-mlogloss:0.302469+0.006222 test-mlogloss:0.571627+0.014609
## [84] train-mlogloss:0.300957+0.006393 test-mlogloss:0.572019+0.014340
## [85] train-mlogloss:0.299194+0.006443 test-mlogloss:0.572776+0.013785
## [86] train-mlogloss:0.297240+0.006694 test-mlogloss:0.573548+0.014149
## [87] train-mlogloss:0.295275+0.006562 test-mlogloss:0.573888+0.014365
## [88] train-mlogloss:0.293704+0.006813 test-mlogloss:0.574188+0.014412
## [89] train-mlogloss:0.291873+0.006818 test-mlogloss:0.574860+0.014424
## [90] train-mlogloss:0.290346+0.006604 test-mlogloss:0.575591+0.014565
## [91] train-mlogloss:0.288892+0.006942 test-mlogloss:0.576316+0.014671
## [92] train-mlogloss:0.287251+0.006755 test-mlogloss:0.576660+0.014526
## [93] train-mlogloss:0.285661+0.006826 test-mlogloss:0.577240+0.014750
## [94] train-mlogloss:0.283656+0.006525 test-mlogloss:0.577892+0.014651
## [95] train-mlogloss:0.281903+0.006707 test-mlogloss:0.578442+0.014556
## [96] train-mlogloss:0.280163+0.006621 test-mlogloss:0.579135+0.014411
## [97] train-mlogloss:0.278450+0.006407 test-mlogloss:0.579562+0.014180
## [98] train-mlogloss:0.276656+0.006387 test-mlogloss:0.579985+0.014410
## [99] train-mlogloss:0.275071+0.006147 test-mlogloss:0.580318+0.014232
## [100] train-mlogloss:0.273451+0.005988 test-mlogloss:0.581401+0.013806
## [101] train-mlogloss:0.271691+0.006063 test-mlogloss:0.581837+0.013918
## [102] train-mlogloss:0.269917+0.005766 test-mlogloss:0.582981+0.014102
## [103] train-mlogloss:0.268222+0.005812 test-mlogloss:0.583135+0.014509
## [104] train-mlogloss:0.266836+0.005526 test-mlogloss:0.583751+0.014922
## [105] train-mlogloss:0.265079+0.005186 test-mlogloss:0.584374+0.014947
## [106] train-mlogloss:0.263610+0.004759 test-mlogloss:0.584601+0.014916
## [107] train-mlogloss:0.262090+0.004741 test-mlogloss:0.585542+0.015170
## [108] train-mlogloss:0.260533+0.005000 test-mlogloss:0.585840+0.015310
## [109] train-mlogloss:0.259125+0.005083 test-mlogloss:0.586200+0.014962
## [110] train-mlogloss:0.257854+0.005096 test-mlogloss:0.586766+0.015168
## [111] train-mlogloss:0.256302+0.005011 test-mlogloss:0.587280+0.015294
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## [114] train-mlogloss:0.252034+0.005082 test-mlogloss:0.588714+0.014920
## [115] train-mlogloss:0.250504+0.004911 test-mlogloss:0.589527+0.015007
## [116] train-mlogloss:0.248922+0.005034 test-mlogloss:0.589993+0.015293
## [117] train-mlogloss:0.247272+0.005021 test-mlogloss:0.590283+0.014910
## [118] train-mlogloss:0.245974+0.005059 test-mlogloss:0.590911+0.015475
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## [122] train-mlogloss:0.240120+0.004869 test-mlogloss:0.593870+0.015814
## [123] train-mlogloss:0.238665+0.004672 test-mlogloss:0.594277+0.015873
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## [128] train-mlogloss:0.231887+0.004232 test-mlogloss:0.597672+0.016288
## [129] train-mlogloss:0.230199+0.004006 test-mlogloss:0.598326+0.016127
## [130] train-mlogloss:0.228734+0.004006 test-mlogloss:0.598982+0.016363
## [131] train-mlogloss:0.227350+0.003789 test-mlogloss:0.599215+0.016436
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## [133] train-mlogloss:0.224717+0.003598 test-mlogloss:0.600628+0.016466
## [134] train-mlogloss:0.223292+0.003473 test-mlogloss:0.601333+0.016520
## [135] train-mlogloss:0.221843+0.003539 test-mlogloss:0.602143+0.016267
## [136] train-mlogloss:0.220627+0.003615 test-mlogloss:0.602566+0.015985
## [137] train-mlogloss:0.219271+0.003666 test-mlogloss:0.603028+0.016163
## [138] train-mlogloss:0.218052+0.003583 test-mlogloss:0.603260+0.016455
## [139] train-mlogloss:0.216817+0.003600 test-mlogloss:0.603673+0.016446
## [140] train-mlogloss:0.215720+0.003610 test-mlogloss:0.604120+0.016637
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## [150] train-mlogloss:0.203956+0.003932 test-mlogloss:0.608076+0.016144
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## [158] train-mlogloss:0.195182+0.003714 test-mlogloss:0.611752+0.016299
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## [160] train-mlogloss:0.192888+0.003509 test-mlogloss:0.612578+0.016014
## [161] train-mlogloss:0.191796+0.003492 test-mlogloss:0.613019+0.015649
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## [167] train-mlogloss:0.185159+0.003723 test-mlogloss:0.616133+0.015982
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## [171] train-mlogloss:0.181276+0.003815 test-mlogloss:0.617715+0.016008
## [172] train-mlogloss:0.180222+0.003680 test-mlogloss:0.618673+0.016327
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## [180] train-mlogloss:0.172645+0.003950 test-mlogloss:0.623089+0.015987
## [181] train-mlogloss:0.171618+0.003894 test-mlogloss:0.623547+0.016033
## [182] train-mlogloss:0.170646+0.003935 test-mlogloss:0.623988+0.015688
## [183] train-mlogloss:0.169655+0.004069 test-mlogloss:0.624494+0.015588
## [184] train-mlogloss:0.168585+0.004025 test-mlogloss:0.625449+0.015696
## [185] train-mlogloss:0.167615+0.004168 test-mlogloss:0.626243+0.015667
## [186] train-mlogloss:0.166538+0.004130 test-mlogloss:0.626967+0.015912
## [187] train-mlogloss:0.165578+0.003931 test-mlogloss:0.627556+0.016182
## [188] train-mlogloss:0.164450+0.003886 test-mlogloss:0.627966+0.016059
## [189] train-mlogloss:0.163570+0.003904 test-mlogloss:0.628691+0.015649
## [190] train-mlogloss:0.162749+0.003773 test-mlogloss:0.629237+0.015274
## [191] train-mlogloss:0.161945+0.003676 test-mlogloss:0.629724+0.015078
## [192] train-mlogloss:0.161182+0.003533 test-mlogloss:0.629942+0.015246
## [193] train-mlogloss:0.160196+0.003542 test-mlogloss:0.630349+0.015354
## [194] train-mlogloss:0.159309+0.003524 test-mlogloss:0.630866+0.015690
## [195] train-mlogloss:0.158446+0.003702 test-mlogloss:0.631299+0.015850
## [196] train-mlogloss:0.157660+0.003748 test-mlogloss:0.631765+0.015882
## [197] train-mlogloss:0.156811+0.003788 test-mlogloss:0.632122+0.016056
## [198] train-mlogloss:0.155810+0.003773 test-mlogloss:0.632824+0.016263
## [199] train-mlogloss:0.155066+0.003765 test-mlogloss:0.633420+0.016333
## [200] train-mlogloss:0.154228+0.003770 test-mlogloss:0.634002+0.017029
## [201] train-mlogloss:0.153413+0.003640 test-mlogloss:0.634817+0.017413
## [202] train-mlogloss:0.152682+0.003577 test-mlogloss:0.635304+0.017378
## [203] train-mlogloss:0.151932+0.003457 test-mlogloss:0.635847+0.017354
## [204] train-mlogloss:0.150953+0.003457 test-mlogloss:0.636441+0.016991
## [205] train-mlogloss:0.150296+0.003491 test-mlogloss:0.637287+0.017186
## [206] train-mlogloss:0.149514+0.003536 test-mlogloss:0.637912+0.017485
## [207] train-mlogloss:0.148544+0.003495 test-mlogloss:0.639169+0.016755
## [208] train-mlogloss:0.147849+0.003422 test-mlogloss:0.639696+0.016843
## [209] train-mlogloss:0.147171+0.003435 test-mlogloss:0.640417+0.016810
## [210] train-mlogloss:0.146459+0.003344 test-mlogloss:0.641281+0.017017
## [211] train-mlogloss:0.145758+0.003254 test-mlogloss:0.642145+0.016921
## [212] train-mlogloss:0.144936+0.003299 test-mlogloss:0.642726+0.016641
## [213] train-mlogloss:0.144193+0.003211 test-mlogloss:0.643551+0.016704
## [214] train-mlogloss:0.143360+0.003179 test-mlogloss:0.644333+0.017002
## [215] train-mlogloss:0.142657+0.003222 test-mlogloss:0.644806+0.017021
## [216] train-mlogloss:0.141869+0.003246 test-mlogloss:0.645387+0.016845
## [217] train-mlogloss:0.141103+0.003116 test-mlogloss:0.645515+0.016478
## [218] train-mlogloss:0.140403+0.003122 test-mlogloss:0.645891+0.016471
## [219] train-mlogloss:0.139694+0.003141 test-mlogloss:0.646848+0.016839
## [220] train-mlogloss:0.139097+0.003151 test-mlogloss:0.647644+0.016476
## [221] train-mlogloss:0.138310+0.003069 test-mlogloss:0.648241+0.016680
## [222] train-mlogloss:0.137506+0.002999 test-mlogloss:0.648830+0.016889
## [223] train-mlogloss:0.136780+0.002957 test-mlogloss:0.648723+0.017130
## [224] train-mlogloss:0.136095+0.002893 test-mlogloss:0.649519+0.016785
## [225] train-mlogloss:0.135407+0.002745 test-mlogloss:0.649883+0.017159
## [226] train-mlogloss:0.134691+0.002584 test-mlogloss:0.650381+0.017122
## [227] train-mlogloss:0.133985+0.002540 test-mlogloss:0.650734+0.017088
## [228] train-mlogloss:0.133140+0.002489 test-mlogloss:0.651206+0.016945
## [229] train-mlogloss:0.132450+0.002638 test-mlogloss:0.651962+0.017095
## [230] train-mlogloss:0.131778+0.002640 test-mlogloss:0.652358+0.017278
## [231] train-mlogloss:0.131083+0.002709 test-mlogloss:0.652534+0.017136
## [232] train-mlogloss:0.130339+0.002731 test-mlogloss:0.653127+0.016930
## [233] train-mlogloss:0.129767+0.002739 test-mlogloss:0.653768+0.016791
## [234] train-mlogloss:0.129130+0.002831 test-mlogloss:0.653939+0.016498
## [235] train-mlogloss:0.128320+0.002823 test-mlogloss:0.654397+0.016487
## [236] train-mlogloss:0.127609+0.002775 test-mlogloss:0.655139+0.015775
## [237] train-mlogloss:0.127088+0.002672 test-mlogloss:0.655748+0.016149
## [238] train-mlogloss:0.126381+0.002744 test-mlogloss:0.656274+0.016472
## [239] train-mlogloss:0.125658+0.002601 test-mlogloss:0.656850+0.016438
## [240] train-mlogloss:0.124910+0.002469 test-mlogloss:0.657566+0.016135
## [241] train-mlogloss:0.124233+0.002435 test-mlogloss:0.658599+0.016622
## [242] train-mlogloss:0.123555+0.002444 test-mlogloss:0.658848+0.016769
## [243] train-mlogloss:0.122893+0.002430 test-mlogloss:0.659749+0.016801
## [244] train-mlogloss:0.122197+0.002506 test-mlogloss:0.659666+0.017056
## [245] train-mlogloss:0.121560+0.002505 test-mlogloss:0.660295+0.016982
## [246] train-mlogloss:0.120950+0.002443 test-mlogloss:0.660626+0.016788
## [247] train-mlogloss:0.120324+0.002415 test-mlogloss:0.661788+0.017189
## [248] train-mlogloss:0.119620+0.002348 test-mlogloss:0.662631+0.017116
## [249] train-mlogloss:0.118990+0.002218 test-mlogloss:0.663413+0.017012
## [250] train-mlogloss:0.118350+0.002153 test-mlogloss:0.663826+0.016620
## [251] train-mlogloss:0.117831+0.002087 test-mlogloss:0.664496+0.016781
## [252] train-mlogloss:0.117223+0.002012 test-mlogloss:0.664868+0.016878
## [253] train-mlogloss:0.116642+0.002006 test-mlogloss:0.665198+0.016618
## [254] train-mlogloss:0.115979+0.002040 test-mlogloss:0.665298+0.016574
## [255] train-mlogloss:0.115487+0.002049 test-mlogloss:0.665436+0.016528
## [256] train-mlogloss:0.114868+0.002037 test-mlogloss:0.666045+0.016453
## [257] train-mlogloss:0.114181+0.002071 test-mlogloss:0.666553+0.016727
## [258] train-mlogloss:0.113582+0.002026 test-mlogloss:0.667189+0.016536
## [259] train-mlogloss:0.113022+0.002082 test-mlogloss:0.667678+0.016843
## [260] train-mlogloss:0.112366+0.002085 test-mlogloss:0.668267+0.016995
## [261] train-mlogloss:0.111785+0.002074 test-mlogloss:0.668732+0.017133
## [262] train-mlogloss:0.111210+0.002202 test-mlogloss:0.669038+0.017159
## [263] train-mlogloss:0.110619+0.002219 test-mlogloss:0.669660+0.017052
## [264] train-mlogloss:0.110082+0.002223 test-mlogloss:0.670005+0.017175
## [265] train-mlogloss:0.109490+0.002264 test-mlogloss:0.670796+0.017396
## [266] train-mlogloss:0.108963+0.002270 test-mlogloss:0.670931+0.017632
## [267] train-mlogloss:0.108431+0.002277 test-mlogloss:0.671464+0.017827
## [268] train-mlogloss:0.107827+0.002232 test-mlogloss:0.671827+0.017703
## [269] train-mlogloss:0.107362+0.002162 test-mlogloss:0.672385+0.017630
## [270] train-mlogloss:0.106836+0.002222 test-mlogloss:0.673185+0.017494
## [271] train-mlogloss:0.106383+0.002300 test-mlogloss:0.673803+0.017359
## [272] train-mlogloss:0.105891+0.002373 test-mlogloss:0.673982+0.017457
## [273] train-mlogloss:0.105400+0.002446 test-mlogloss:0.674402+0.017653
## [274] train-mlogloss:0.104833+0.002352 test-mlogloss:0.674835+0.017327
## [275] train-mlogloss:0.104428+0.002408 test-mlogloss:0.675221+0.017157
## [276] train-mlogloss:0.103839+0.002415 test-mlogloss:0.675554+0.016851
## [277] train-mlogloss:0.103337+0.002476 test-mlogloss:0.675897+0.017184
## [278] train-mlogloss:0.102843+0.002477 test-mlogloss:0.675979+0.017151
## [279] train-mlogloss:0.102335+0.002461 test-mlogloss:0.676749+0.016839
## [280] train-mlogloss:0.101776+0.002399 test-mlogloss:0.676849+0.016651
## [281] train-mlogloss:0.101285+0.002395 test-mlogloss:0.676912+0.016706
## [282] train-mlogloss:0.100751+0.002403 test-mlogloss:0.676988+0.016628
## [283] train-mlogloss:0.100218+0.002440 test-mlogloss:0.677219+0.017056
## [284] train-mlogloss:0.099628+0.002518 test-mlogloss:0.677643+0.017273
## [285] train-mlogloss:0.099094+0.002555 test-mlogloss:0.677849+0.017082
## [286] train-mlogloss:0.098568+0.002550 test-mlogloss:0.678776+0.017477
## [287] train-mlogloss:0.097963+0.002488 test-mlogloss:0.679815+0.017513
## [288] train-mlogloss:0.097528+0.002467 test-mlogloss:0.680118+0.017666
## [289] train-mlogloss:0.097081+0.002511 test-mlogloss:0.680579+0.017996
## [290] train-mlogloss:0.096612+0.002573 test-mlogloss:0.681241+0.017986
## [291] train-mlogloss:0.096170+0.002581 test-mlogloss:0.681702+0.018157
## [292] train-mlogloss:0.095693+0.002562 test-mlogloss:0.682153+0.018223
## [293] train-mlogloss:0.095175+0.002500 test-mlogloss:0.682229+0.018474
## [294] train-mlogloss:0.094717+0.002538 test-mlogloss:0.682898+0.018998
## [295] train-mlogloss:0.094215+0.002524 test-mlogloss:0.683661+0.019401
## [296] train-mlogloss:0.093773+0.002492 test-mlogloss:0.684027+0.019422
## [297] train-mlogloss:0.093280+0.002574 test-mlogloss:0.684683+0.019646
## [298] train-mlogloss:0.092820+0.002541 test-mlogloss:0.685087+0.019619
## [299] train-mlogloss:0.092337+0.002645 test-mlogloss:0.685673+0.019439
## [300] train-mlogloss:0.091834+0.002531 test-mlogloss:0.686007+0.019595
## [301] train-mlogloss:0.091394+0.002412 test-mlogloss:0.686819+0.020068
## [302] train-mlogloss:0.090909+0.002383 test-mlogloss:0.687194+0.019982
## [303] train-mlogloss:0.090526+0.002387 test-mlogloss:0.687628+0.019877
## [304] train-mlogloss:0.090083+0.002414 test-mlogloss:0.688111+0.019981
## [305] train-mlogloss:0.089620+0.002388 test-mlogloss:0.688626+0.019555
## [306] train-mlogloss:0.089143+0.002328 test-mlogloss:0.689212+0.019884
## [307] train-mlogloss:0.088622+0.002289 test-mlogloss:0.689563+0.019934
## [308] train-mlogloss:0.088181+0.002302 test-mlogloss:0.689234+0.019904
## [309] train-mlogloss:0.087643+0.002335 test-mlogloss:0.689802+0.020009
## [310] train-mlogloss:0.087238+0.002364 test-mlogloss:0.690442+0.019874
## [311] train-mlogloss:0.086915+0.002309 test-mlogloss:0.691068+0.019977
## [312] train-mlogloss:0.086482+0.002319 test-mlogloss:0.691854+0.019806
## [313] train-mlogloss:0.086033+0.002343 test-mlogloss:0.692365+0.020264
## [314] train-mlogloss:0.085564+0.002297 test-mlogloss:0.693030+0.020575
## [315] train-mlogloss:0.085116+0.002319 test-mlogloss:0.693650+0.020941
## [316] train-mlogloss:0.084674+0.002321 test-mlogloss:0.694420+0.020954
## [317] train-mlogloss:0.084219+0.002361 test-mlogloss:0.695213+0.021061
## [318] train-mlogloss:0.083849+0.002364 test-mlogloss:0.695686+0.020960
## [319] train-mlogloss:0.083403+0.002391 test-mlogloss:0.696200+0.020959
## [320] train-mlogloss:0.083046+0.002342 test-mlogloss:0.696914+0.020981
## [321] train-mlogloss:0.082583+0.002392 test-mlogloss:0.697499+0.020838
## [322] train-mlogloss:0.082118+0.002387 test-mlogloss:0.697727+0.021024
## [323] train-mlogloss:0.081772+0.002409 test-mlogloss:0.698110+0.021179
## [324] train-mlogloss:0.081391+0.002428 test-mlogloss:0.698557+0.021153
## [325] train-mlogloss:0.081005+0.002412 test-mlogloss:0.699036+0.021174
## [326] train-mlogloss:0.080629+0.002455 test-mlogloss:0.699259+0.021135
## [327] train-mlogloss:0.080255+0.002405 test-mlogloss:0.699654+0.020961
## [328] train-mlogloss:0.079928+0.002322 test-mlogloss:0.699771+0.020892
## [329] train-mlogloss:0.079535+0.002324 test-mlogloss:0.700475+0.020463
## [330] train-mlogloss:0.079126+0.002264 test-mlogloss:0.701019+0.020205
## [331] train-mlogloss:0.078660+0.002295 test-mlogloss:0.701728+0.020121
## [332] train-mlogloss:0.078310+0.002271 test-mlogloss:0.702585+0.020289
## [333] train-mlogloss:0.077904+0.002271 test-mlogloss:0.703317+0.020103
## [334] train-mlogloss:0.077521+0.002232 test-mlogloss:0.703922+0.020164
## [335] train-mlogloss:0.077176+0.002222 test-mlogloss:0.704390+0.019989
## [336] train-mlogloss:0.076791+0.002176 test-mlogloss:0.704589+0.020497
## [337] train-mlogloss:0.076369+0.002171 test-mlogloss:0.705133+0.020476
## [338] train-mlogloss:0.076008+0.002155 test-mlogloss:0.705600+0.020593
## [339] train-mlogloss:0.075647+0.002147 test-mlogloss:0.706147+0.020632
## [340] train-mlogloss:0.075280+0.002181 test-mlogloss:0.706868+0.020496
## [341] train-mlogloss:0.074907+0.002228 test-mlogloss:0.707473+0.020177
## [342] train-mlogloss:0.074550+0.002188 test-mlogloss:0.708092+0.020036
## [343] train-mlogloss:0.074140+0.002200 test-mlogloss:0.708666+0.020138
## [344] train-mlogloss:0.073801+0.002208 test-mlogloss:0.709257+0.020317
## [345] train-mlogloss:0.073463+0.002238 test-mlogloss:0.709938+0.020165
## [346] train-mlogloss:0.073153+0.002282 test-mlogloss:0.710723+0.020434
## [347] train-mlogloss:0.072851+0.002326 test-mlogloss:0.710997+0.020428
## [348] train-mlogloss:0.072466+0.002291 test-mlogloss:0.711451+0.020298
## [349] train-mlogloss:0.072200+0.002316 test-mlogloss:0.711726+0.020355
## [350] train-mlogloss:0.071873+0.002265 test-mlogloss:0.712012+0.020486
## [351] train-mlogloss:0.071609+0.002290 test-mlogloss:0.712194+0.020598
## [352] train-mlogloss:0.071215+0.002331 test-mlogloss:0.712476+0.020726
## [353] train-mlogloss:0.070865+0.002251 test-mlogloss:0.712902+0.020558
## [354] train-mlogloss:0.070501+0.002300 test-mlogloss:0.713296+0.020437
## [355] train-mlogloss:0.070203+0.002261 test-mlogloss:0.714128+0.020456
## [356] train-mlogloss:0.069859+0.002252 test-mlogloss:0.714625+0.020442
## [357] train-mlogloss:0.069504+0.002192 test-mlogloss:0.715338+0.020614
## [358] train-mlogloss:0.069188+0.002186 test-mlogloss:0.716032+0.020965
## [359] train-mlogloss:0.068898+0.002156 test-mlogloss:0.716621+0.020914
## [360] train-mlogloss:0.068587+0.002086 test-mlogloss:0.716868+0.020973
## [361] train-mlogloss:0.068214+0.002071 test-mlogloss:0.717742+0.020922
## [362] train-mlogloss:0.067901+0.002087 test-mlogloss:0.718363+0.020904
## [363] train-mlogloss:0.067575+0.002149 test-mlogloss:0.719105+0.020456
## [364] train-mlogloss:0.067274+0.002114 test-mlogloss:0.719639+0.020527
## [365] train-mlogloss:0.067041+0.002095 test-mlogloss:0.720194+0.020566
## [366] train-mlogloss:0.066723+0.002076 test-mlogloss:0.720731+0.020681
## [367] train-mlogloss:0.066391+0.002018 test-mlogloss:0.721175+0.020636
## [368] train-mlogloss:0.066062+0.002024 test-mlogloss:0.721447+0.020834
## [369] train-mlogloss:0.065753+0.001960 test-mlogloss:0.722094+0.020735
## [370] train-mlogloss:0.065379+0.001896 test-mlogloss:0.722698+0.020841
## [371] train-mlogloss:0.065078+0.001884 test-mlogloss:0.723094+0.020692
## [372] train-mlogloss:0.064759+0.001895 test-mlogloss:0.723730+0.020777
## [373] train-mlogloss:0.064479+0.001918 test-mlogloss:0.724067+0.020817
## [374] train-mlogloss:0.064241+0.001918 test-mlogloss:0.724461+0.021020
## [375] train-mlogloss:0.063910+0.001896 test-mlogloss:0.724669+0.020886
## [376] train-mlogloss:0.063641+0.001840 test-mlogloss:0.725348+0.020879
## [377] train-mlogloss:0.063381+0.001841 test-mlogloss:0.725894+0.021223
## [378] train-mlogloss:0.063085+0.001846 test-mlogloss:0.726395+0.021307
## [379] train-mlogloss:0.062813+0.001867 test-mlogloss:0.726943+0.021171
## [380] train-mlogloss:0.062496+0.001823 test-mlogloss:0.727377+0.021337
## [381] train-mlogloss:0.062215+0.001811 test-mlogloss:0.728016+0.021474
## [382] train-mlogloss:0.061954+0.001800 test-mlogloss:0.728659+0.021729
## [383] train-mlogloss:0.061732+0.001800 test-mlogloss:0.729356+0.022012
## [384] train-mlogloss:0.061465+0.001835 test-mlogloss:0.729954+0.021935
## [385] train-mlogloss:0.061234+0.001858 test-mlogloss:0.730308+0.021813
## [386] train-mlogloss:0.060901+0.001811 test-mlogloss:0.731077+0.021737
## [387] train-mlogloss:0.060616+0.001766 test-mlogloss:0.731835+0.021544
## [388] train-mlogloss:0.060370+0.001796 test-mlogloss:0.732529+0.021983
## [389] train-mlogloss:0.060089+0.001809 test-mlogloss:0.732900+0.022083
## [390] train-mlogloss:0.059789+0.001793 test-mlogloss:0.733213+0.022060
## [391] train-mlogloss:0.059476+0.001763 test-mlogloss:0.733838+0.021829
## [392] train-mlogloss:0.059181+0.001780 test-mlogloss:0.734555+0.021889
## [393] train-mlogloss:0.058864+0.001745 test-mlogloss:0.735253+0.022017
## [394] train-mlogloss:0.058602+0.001737 test-mlogloss:0.736246+0.022321
## [395] train-mlogloss:0.058328+0.001716 test-mlogloss:0.736983+0.022548
## [396] train-mlogloss:0.058087+0.001703 test-mlogloss:0.737547+0.022461
## [397] train-mlogloss:0.057870+0.001668 test-mlogloss:0.738236+0.022513
## [398] train-mlogloss:0.057622+0.001630 test-mlogloss:0.739218+0.022132
## [399] train-mlogloss:0.057333+0.001627 test-mlogloss:0.739954+0.022261
## [400] train-mlogloss:0.057090+0.001584 test-mlogloss:0.740703+0.022322
## [401] train-mlogloss:0.056798+0.001617 test-mlogloss:0.741123+0.022805
## [402] train-mlogloss:0.056552+0.001628 test-mlogloss:0.741877+0.023005
## [403] train-mlogloss:0.056312+0.001659 test-mlogloss:0.742039+0.023088
## [404] train-mlogloss:0.056107+0.001665 test-mlogloss:0.742625+0.023348
## [405] train-mlogloss:0.055847+0.001619 test-mlogloss:0.743020+0.023482
## [406] train-mlogloss:0.055535+0.001589 test-mlogloss:0.743567+0.023688
## [407] train-mlogloss:0.055300+0.001583 test-mlogloss:0.744092+0.023669
## [408] train-mlogloss:0.055051+0.001511 test-mlogloss:0.744564+0.023643
## [409] train-mlogloss:0.054795+0.001475 test-mlogloss:0.744804+0.023556
## [410] train-mlogloss:0.054552+0.001455 test-mlogloss:0.745417+0.023614
## [411] train-mlogloss:0.054281+0.001424 test-mlogloss:0.746030+0.023636
## [412] train-mlogloss:0.054064+0.001468 test-mlogloss:0.746394+0.023575
## [413] train-mlogloss:0.053866+0.001457 test-mlogloss:0.746729+0.023559
## [414] train-mlogloss:0.053627+0.001457 test-mlogloss:0.747323+0.023782
## [415] train-mlogloss:0.053379+0.001436 test-mlogloss:0.747572+0.023734
## [416] train-mlogloss:0.053133+0.001454 test-mlogloss:0.748157+0.023672
## [417] train-mlogloss:0.052897+0.001486 test-mlogloss:0.748755+0.024017
## [418] train-mlogloss:0.052680+0.001504 test-mlogloss:0.749453+0.023837
## [419] train-mlogloss:0.052456+0.001541 test-mlogloss:0.749926+0.023927
## [420] train-mlogloss:0.052182+0.001504 test-mlogloss:0.750470+0.024226
## [421] train-mlogloss:0.051963+0.001467 test-mlogloss:0.750542+0.023981
## [422] train-mlogloss:0.051770+0.001464 test-mlogloss:0.750847+0.024247
## [423] train-mlogloss:0.051571+0.001457 test-mlogloss:0.751510+0.024129
## [424] train-mlogloss:0.051363+0.001426 test-mlogloss:0.751799+0.023898
## [425] train-mlogloss:0.051136+0.001402 test-mlogloss:0.752104+0.023777
## [426] train-mlogloss:0.050918+0.001403 test-mlogloss:0.753034+0.023643
## [427] train-mlogloss:0.050679+0.001442 test-mlogloss:0.753529+0.023489
## [428] train-mlogloss:0.050468+0.001392 test-mlogloss:0.753971+0.023609
## [429] train-mlogloss:0.050244+0.001395 test-mlogloss:0.754571+0.023829
## [430] train-mlogloss:0.050007+0.001374 test-mlogloss:0.754813+0.023936
## [431] train-mlogloss:0.049799+0.001380 test-mlogloss:0.755311+0.024171
## [432] train-mlogloss:0.049568+0.001422 test-mlogloss:0.755936+0.024427
## [433] train-mlogloss:0.049368+0.001429 test-mlogloss:0.756742+0.024890
## [434] train-mlogloss:0.049179+0.001411 test-mlogloss:0.757128+0.024675
## [435] train-mlogloss:0.048984+0.001407 test-mlogloss:0.757610+0.024607
## [436] train-mlogloss:0.048803+0.001371 test-mlogloss:0.758055+0.024753
## [437] train-mlogloss:0.048560+0.001384 test-mlogloss:0.758627+0.024951
## [438] train-mlogloss:0.048322+0.001389 test-mlogloss:0.758837+0.024786
## [439] train-mlogloss:0.048077+0.001346 test-mlogloss:0.759519+0.024955
## [440] train-mlogloss:0.047906+0.001358 test-mlogloss:0.759938+0.025047
## [441] train-mlogloss:0.047705+0.001391 test-mlogloss:0.760331+0.025250
## [442] train-mlogloss:0.047507+0.001377 test-mlogloss:0.760688+0.025210
## [443] train-mlogloss:0.047301+0.001396 test-mlogloss:0.761376+0.025147
## [444] train-mlogloss:0.047082+0.001394 test-mlogloss:0.762097+0.025051
## [445] train-mlogloss:0.046842+0.001363 test-mlogloss:0.762482+0.024803
## [446] train-mlogloss:0.046617+0.001357 test-mlogloss:0.763399+0.024767
## [447] train-mlogloss:0.046409+0.001374 test-mlogloss:0.763554+0.024950
## [448] train-mlogloss:0.046203+0.001411 test-mlogloss:0.764312+0.024880
## [449] train-mlogloss:0.045980+0.001405 test-mlogloss:0.765061+0.024616
## [450] train-mlogloss:0.045816+0.001375 test-mlogloss:0.765579+0.024656
## [451] train-mlogloss:0.045626+0.001385 test-mlogloss:0.765867+0.025078
## [452] train-mlogloss:0.045469+0.001375 test-mlogloss:0.766287+0.025065
## [453] train-mlogloss:0.045319+0.001387 test-mlogloss:0.767011+0.025151
## [454] train-mlogloss:0.045160+0.001384 test-mlogloss:0.767448+0.025385
## [455] train-mlogloss:0.044986+0.001362 test-mlogloss:0.767810+0.025220
## [456] train-mlogloss:0.044770+0.001368 test-mlogloss:0.768243+0.025705
## [457] train-mlogloss:0.044598+0.001407 test-mlogloss:0.768673+0.025990
## [458] train-mlogloss:0.044374+0.001427 test-mlogloss:0.769595+0.026110
## [459] train-mlogloss:0.044178+0.001409 test-mlogloss:0.769810+0.026272
## [460] train-mlogloss:0.043995+0.001369 test-mlogloss:0.770189+0.026442
## [461] train-mlogloss:0.043801+0.001389 test-mlogloss:0.771065+0.026594
## [462] train-mlogloss:0.043673+0.001418 test-mlogloss:0.771564+0.026421
## [463] train-mlogloss:0.043506+0.001424 test-mlogloss:0.771795+0.026582
## [464] train-mlogloss:0.043342+0.001399 test-mlogloss:0.772223+0.026476
## [465] train-mlogloss:0.043180+0.001413 test-mlogloss:0.772791+0.026242
## [466] train-mlogloss:0.042981+0.001442 test-mlogloss:0.773642+0.026252
## [467] train-mlogloss:0.042832+0.001469 test-mlogloss:0.773953+0.026354
## [468] train-mlogloss:0.042677+0.001466 test-mlogloss:0.774640+0.026208
## [469] train-mlogloss:0.042506+0.001439 test-mlogloss:0.775313+0.026192
## [470] train-mlogloss:0.042322+0.001423 test-mlogloss:0.775708+0.025915
## [471] train-mlogloss:0.042157+0.001405 test-mlogloss:0.776623+0.026024
## [472] train-mlogloss:0.041962+0.001419 test-mlogloss:0.777213+0.026219
## [473] train-mlogloss:0.041785+0.001412 test-mlogloss:0.778189+0.026050
## [474] train-mlogloss:0.041625+0.001360 test-mlogloss:0.778678+0.026224
## [475] train-mlogloss:0.041502+0.001324 test-mlogloss:0.779227+0.026117
## [476] train-mlogloss:0.041323+0.001305 test-mlogloss:0.779606+0.026175
## [477] train-mlogloss:0.041172+0.001304 test-mlogloss:0.779883+0.026232
## [478] train-mlogloss:0.041007+0.001305 test-mlogloss:0.780238+0.026137
## [479] train-mlogloss:0.040855+0.001255 test-mlogloss:0.780662+0.026100
## [480] train-mlogloss:0.040672+0.001257 test-mlogloss:0.781237+0.025915
## [481] train-mlogloss:0.040490+0.001231 test-mlogloss:0.781230+0.025727
## [482] train-mlogloss:0.040328+0.001258 test-mlogloss:0.781806+0.026087
## [483] train-mlogloss:0.040149+0.001239 test-mlogloss:0.782331+0.026097
## [484] train-mlogloss:0.039987+0.001233 test-mlogloss:0.783307+0.026014
## [485] train-mlogloss:0.039820+0.001216 test-mlogloss:0.783838+0.025663
## [486] train-mlogloss:0.039640+0.001203 test-mlogloss:0.784064+0.025361
## [487] train-mlogloss:0.039469+0.001207 test-mlogloss:0.784466+0.025579
## [488] train-mlogloss:0.039317+0.001190 test-mlogloss:0.785147+0.025641
## [489] train-mlogloss:0.039159+0.001176 test-mlogloss:0.785346+0.025459
## [490] train-mlogloss:0.038989+0.001166 test-mlogloss:0.786037+0.025992
## [491] train-mlogloss:0.038773+0.001195 test-mlogloss:0.786579+0.026112
## [492] train-mlogloss:0.038628+0.001212 test-mlogloss:0.786800+0.026093
## [493] train-mlogloss:0.038470+0.001186 test-mlogloss:0.787465+0.025930
## [494] train-mlogloss:0.038331+0.001195 test-mlogloss:0.788042+0.025791
## [495] train-mlogloss:0.038147+0.001212 test-mlogloss:0.788821+0.025945
## [496] train-mlogloss:0.037995+0.001218 test-mlogloss:0.789518+0.025567
## [497] train-mlogloss:0.037842+0.001223 test-mlogloss:0.789873+0.025476
## [498] train-mlogloss:0.037676+0.001220 test-mlogloss:0.790189+0.025826
## [499] train-mlogloss:0.037517+0.001184 test-mlogloss:0.790298+0.025974
## [500] train-mlogloss:0.037363+0.001175 test-mlogloss:0.791117+0.026264
## [1] train-mlogloss:0.536857+0.002478 test-mlogloss:0.631233+0.002807
## [2] train-mlogloss:0.436782+0.002129 test-mlogloss:0.599922+0.004128
## [3] train-mlogloss:0.364312+0.003173 test-mlogloss:0.582958+0.005484
## [4] train-mlogloss:0.305961+0.001724 test-mlogloss:0.573718+0.006811
## [5] train-mlogloss:0.261530+0.001177 test-mlogloss:0.569794+0.006826
## [6] train-mlogloss:0.224818+0.001239 test-mlogloss:0.568277+0.007666
## [7] train-mlogloss:0.195920+0.001210 test-mlogloss:0.568251+0.009847
## [8] train-mlogloss:0.173151+0.001734 test-mlogloss:0.571067+0.011863
## [9] train-mlogloss:0.154532+0.001023 test-mlogloss:0.574307+0.012831
## [10] train-mlogloss:0.139168+0.001053 test-mlogloss:0.578329+0.015424
## [11] train-mlogloss:0.126491+0.000838 test-mlogloss:0.583126+0.016961
## [12] train-mlogloss:0.116750+0.001835 test-mlogloss:0.587346+0.018591
## [13] train-mlogloss:0.107972+0.002452 test-mlogloss:0.592938+0.020048
## [14] train-mlogloss:0.100236+0.002329 test-mlogloss:0.598091+0.020951
## [15] train-mlogloss:0.093849+0.001860 test-mlogloss:0.603330+0.021814
## [16] train-mlogloss:0.089037+0.002700 test-mlogloss:0.605303+0.023342
## [17] train-mlogloss:0.084496+0.002793 test-mlogloss:0.608683+0.024468
## [18] train-mlogloss:0.080069+0.003106 test-mlogloss:0.612233+0.024721
## [19] train-mlogloss:0.076289+0.003357 test-mlogloss:0.614561+0.025213
## [20] train-mlogloss:0.072776+0.002614 test-mlogloss:0.617538+0.025874
## [21] train-mlogloss:0.069511+0.001863 test-mlogloss:0.620850+0.026765
## [22] train-mlogloss:0.066551+0.001646 test-mlogloss:0.624034+0.027921
## [23] train-mlogloss:0.063298+0.001710 test-mlogloss:0.627534+0.027918
## [24] train-mlogloss:0.060157+0.001215 test-mlogloss:0.630949+0.029040
## [25] train-mlogloss:0.057030+0.001065 test-mlogloss:0.635478+0.029359
## [26] train-mlogloss:0.054302+0.001086 test-mlogloss:0.638757+0.028675
## [27] train-mlogloss:0.051990+0.001087 test-mlogloss:0.642691+0.029116
## [28] train-mlogloss:0.050207+0.001253 test-mlogloss:0.645466+0.029158
## [29] train-mlogloss:0.048104+0.001389 test-mlogloss:0.648375+0.029546
## [30] train-mlogloss:0.046023+0.001312 test-mlogloss:0.652294+0.030062
## [31] train-mlogloss:0.044054+0.001270 test-mlogloss:0.655177+0.030502
## [32] train-mlogloss:0.042519+0.001139 test-mlogloss:0.658231+0.030540
## [33] train-mlogloss:0.040892+0.001218 test-mlogloss:0.661420+0.030116
## [34] train-mlogloss:0.039482+0.001254 test-mlogloss:0.664404+0.029973
## [35] train-mlogloss:0.038052+0.001176 test-mlogloss:0.666868+0.030174
## [36] train-mlogloss:0.036728+0.001013 test-mlogloss:0.669146+0.030151
## [37] train-mlogloss:0.035434+0.000919 test-mlogloss:0.671900+0.029777
## [38] train-mlogloss:0.034292+0.000824 test-mlogloss:0.674022+0.030548
## [39] train-mlogloss:0.033236+0.000693 test-mlogloss:0.676811+0.030735
## [40] train-mlogloss:0.032198+0.000565 test-mlogloss:0.679365+0.031513
## [41] train-mlogloss:0.031252+0.000545 test-mlogloss:0.682082+0.031772
## [42] train-mlogloss:0.030382+0.000540 test-mlogloss:0.684228+0.032305
## [43] train-mlogloss:0.029542+0.000495 test-mlogloss:0.686344+0.032638
## [44] train-mlogloss:0.028742+0.000484 test-mlogloss:0.688913+0.033062
## [45] train-mlogloss:0.027972+0.000416 test-mlogloss:0.691183+0.033392
## [46] train-mlogloss:0.027236+0.000427 test-mlogloss:0.693962+0.033456
## [47] train-mlogloss:0.026551+0.000392 test-mlogloss:0.696133+0.033452
## [48] train-mlogloss:0.025888+0.000359 test-mlogloss:0.698580+0.033418
## [49] train-mlogloss:0.025221+0.000324 test-mlogloss:0.700941+0.033644
## [50] train-mlogloss:0.024569+0.000344 test-mlogloss:0.703268+0.034706
## [51] train-mlogloss:0.024006+0.000299 test-mlogloss:0.705656+0.034952
## [52] train-mlogloss:0.023453+0.000307 test-mlogloss:0.707396+0.035394
## [53] train-mlogloss:0.022921+0.000288 test-mlogloss:0.709089+0.035037
## [54] train-mlogloss:0.022418+0.000242 test-mlogloss:0.711084+0.035052
## [55] train-mlogloss:0.021959+0.000222 test-mlogloss:0.713390+0.035330
## [56] train-mlogloss:0.021493+0.000199 test-mlogloss:0.715240+0.035472
## [57] train-mlogloss:0.021038+0.000198 test-mlogloss:0.717242+0.035491
## [58] train-mlogloss:0.020629+0.000197 test-mlogloss:0.719151+0.035643
## [59] train-mlogloss:0.020201+0.000178 test-mlogloss:0.721078+0.035822
## [60] train-mlogloss:0.019816+0.000166 test-mlogloss:0.723021+0.034980
## [61] train-mlogloss:0.019423+0.000169 test-mlogloss:0.725358+0.035309
## [62] train-mlogloss:0.019054+0.000165 test-mlogloss:0.726920+0.035348
## [63] train-mlogloss:0.018721+0.000143 test-mlogloss:0.728426+0.035634
## [64] train-mlogloss:0.018404+0.000136 test-mlogloss:0.730431+0.035705
## [65] train-mlogloss:0.018079+0.000142 test-mlogloss:0.732525+0.036065
## [66] train-mlogloss:0.017782+0.000133 test-mlogloss:0.734316+0.036172
## [67] train-mlogloss:0.017484+0.000107 test-mlogloss:0.735456+0.036410
## [68] train-mlogloss:0.017196+0.000110 test-mlogloss:0.737153+0.036862
## [69] train-mlogloss:0.016907+0.000098 test-mlogloss:0.738288+0.037024
## [70] train-mlogloss:0.016615+0.000104 test-mlogloss:0.740289+0.037605
## [71] train-mlogloss:0.016344+0.000115 test-mlogloss:0.742138+0.037345
## [72] train-mlogloss:0.016085+0.000115 test-mlogloss:0.743788+0.037798
## [73] train-mlogloss:0.015845+0.000111 test-mlogloss:0.745278+0.038141
## [74] train-mlogloss:0.015618+0.000109 test-mlogloss:0.747113+0.038300
## [75] train-mlogloss:0.015389+0.000093 test-mlogloss:0.748909+0.038430
## [76] train-mlogloss:0.015175+0.000086 test-mlogloss:0.750114+0.038827
## [77] train-mlogloss:0.014966+0.000083 test-mlogloss:0.751475+0.039210
## [78] train-mlogloss:0.014752+0.000091 test-mlogloss:0.753105+0.039994
## [79] train-mlogloss:0.014548+0.000086 test-mlogloss:0.755105+0.039808
## [80] train-mlogloss:0.014350+0.000086 test-mlogloss:0.756607+0.039813
## [81] train-mlogloss:0.014165+0.000078 test-mlogloss:0.758033+0.040005
## [82] train-mlogloss:0.013975+0.000072 test-mlogloss:0.759620+0.040288
## [83] train-mlogloss:0.013794+0.000084 test-mlogloss:0.761390+0.040313
## [84] train-mlogloss:0.013631+0.000080 test-mlogloss:0.763095+0.040035
## [85] train-mlogloss:0.013461+0.000083 test-mlogloss:0.764434+0.040205
## [86] train-mlogloss:0.013296+0.000084 test-mlogloss:0.765728+0.040639
## [87] train-mlogloss:0.013134+0.000085 test-mlogloss:0.767059+0.040556
## [88] train-mlogloss:0.012977+0.000093 test-mlogloss:0.768084+0.040542
## [89] train-mlogloss:0.012823+0.000099 test-mlogloss:0.769135+0.040564
## [90] train-mlogloss:0.012674+0.000094 test-mlogloss:0.770484+0.040875
## [91] train-mlogloss:0.012532+0.000098 test-mlogloss:0.772163+0.040862
## [92] train-mlogloss:0.012385+0.000099 test-mlogloss:0.773750+0.040952
## [93] train-mlogloss:0.012250+0.000097 test-mlogloss:0.774769+0.040898
## [94] train-mlogloss:0.012116+0.000101 test-mlogloss:0.776191+0.040853
## [95] train-mlogloss:0.011985+0.000101 test-mlogloss:0.777638+0.040682
## [96] train-mlogloss:0.011851+0.000097 test-mlogloss:0.778749+0.041205
## [97] train-mlogloss:0.011721+0.000092 test-mlogloss:0.779623+0.041057
## [98] train-mlogloss:0.011595+0.000084 test-mlogloss:0.781067+0.041135
## [99] train-mlogloss:0.011476+0.000082 test-mlogloss:0.782846+0.041297
## [100] train-mlogloss:0.011354+0.000077 test-mlogloss:0.784029+0.041330
## [101] train-mlogloss:0.011246+0.000078 test-mlogloss:0.785287+0.041182
## [102] train-mlogloss:0.011138+0.000076 test-mlogloss:0.786437+0.041490
## [103] train-mlogloss:0.011031+0.000069 test-mlogloss:0.787835+0.041282
## [104] train-mlogloss:0.010926+0.000069 test-mlogloss:0.788975+0.041240
## [105] train-mlogloss:0.010815+0.000073 test-mlogloss:0.790332+0.041334
## [106] train-mlogloss:0.010710+0.000078 test-mlogloss:0.791667+0.041311
## [107] train-mlogloss:0.010609+0.000083 test-mlogloss:0.792724+0.041423
## [108] train-mlogloss:0.010514+0.000078 test-mlogloss:0.794052+0.041990
## [109] train-mlogloss:0.010418+0.000082 test-mlogloss:0.795163+0.042183
## [110] train-mlogloss:0.010326+0.000081 test-mlogloss:0.796374+0.042323
## [111] train-mlogloss:0.010235+0.000082 test-mlogloss:0.797201+0.042362
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## [114] train-mlogloss:0.009968+0.000079 test-mlogloss:0.800779+0.042452
## [115] train-mlogloss:0.009879+0.000079 test-mlogloss:0.802192+0.042616
## [116] train-mlogloss:0.009795+0.000078 test-mlogloss:0.802979+0.042507
## [117] train-mlogloss:0.009712+0.000075 test-mlogloss:0.803955+0.042626
## [118] train-mlogloss:0.009632+0.000078 test-mlogloss:0.804725+0.042960
## [119] train-mlogloss:0.009553+0.000082 test-mlogloss:0.805931+0.043083
## [120] train-mlogloss:0.009478+0.000079 test-mlogloss:0.806604+0.043311
## [121] train-mlogloss:0.009404+0.000075 test-mlogloss:0.807349+0.043443
## [122] train-mlogloss:0.009330+0.000070 test-mlogloss:0.807767+0.043287
## [123] train-mlogloss:0.009258+0.000068 test-mlogloss:0.808608+0.043194
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## [126] train-mlogloss:0.009047+0.000065 test-mlogloss:0.811166+0.043215
## [127] train-mlogloss:0.008979+0.000067 test-mlogloss:0.811647+0.043462
## [128] train-mlogloss:0.008910+0.000066 test-mlogloss:0.812684+0.043332
## [129] train-mlogloss:0.008844+0.000063 test-mlogloss:0.813603+0.043170
## [130] train-mlogloss:0.008783+0.000072 test-mlogloss:0.814658+0.043427
## [131] train-mlogloss:0.008722+0.000069 test-mlogloss:0.815287+0.043538
## [132] train-mlogloss:0.008656+0.000067 test-mlogloss:0.816123+0.044069
## [133] train-mlogloss:0.008599+0.000065 test-mlogloss:0.816910+0.044051
## [134] train-mlogloss:0.008540+0.000063 test-mlogloss:0.817830+0.044074
## [135] train-mlogloss:0.008482+0.000059 test-mlogloss:0.818711+0.043986
## [136] train-mlogloss:0.008422+0.000063 test-mlogloss:0.819638+0.043905
## [137] train-mlogloss:0.008364+0.000064 test-mlogloss:0.820708+0.043967
## [138] train-mlogloss:0.008307+0.000066 test-mlogloss:0.821513+0.044275
## [139] train-mlogloss:0.008252+0.000067 test-mlogloss:0.822827+0.044422
## [140] train-mlogloss:0.008198+0.000066 test-mlogloss:0.823864+0.044288
## [141] train-mlogloss:0.008145+0.000069 test-mlogloss:0.824815+0.044235
## [142] train-mlogloss:0.008093+0.000066 test-mlogloss:0.825734+0.044439
## [143] train-mlogloss:0.008040+0.000062 test-mlogloss:0.826446+0.044407
## [144] train-mlogloss:0.007989+0.000064 test-mlogloss:0.827291+0.044383
## [145] train-mlogloss:0.007937+0.000063 test-mlogloss:0.828307+0.044587
## [146] train-mlogloss:0.007887+0.000064 test-mlogloss:0.829321+0.044791
## [147] train-mlogloss:0.007838+0.000061 test-mlogloss:0.830297+0.044670
## [148] train-mlogloss:0.007787+0.000060 test-mlogloss:0.831132+0.044706
## [149] train-mlogloss:0.007739+0.000059 test-mlogloss:0.832006+0.044687
## [150] train-mlogloss:0.007693+0.000058 test-mlogloss:0.832803+0.044616
## [151] train-mlogloss:0.007645+0.000056 test-mlogloss:0.834135+0.044975
## [152] train-mlogloss:0.007601+0.000056 test-mlogloss:0.835082+0.044821
## [153] train-mlogloss:0.007557+0.000057 test-mlogloss:0.835885+0.044811
## [154] train-mlogloss:0.007515+0.000057 test-mlogloss:0.836657+0.044987
## [155] train-mlogloss:0.007470+0.000058 test-mlogloss:0.837248+0.045218
## [156] train-mlogloss:0.007430+0.000055 test-mlogloss:0.838049+0.045482
## [157] train-mlogloss:0.007386+0.000055 test-mlogloss:0.838780+0.045715
## [158] train-mlogloss:0.007344+0.000054 test-mlogloss:0.839622+0.046006
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## [160] train-mlogloss:0.007262+0.000054 test-mlogloss:0.841058+0.046096
## [161] train-mlogloss:0.007225+0.000053 test-mlogloss:0.841769+0.045912
## [162] train-mlogloss:0.007187+0.000054 test-mlogloss:0.842642+0.045995
## [163] train-mlogloss:0.007147+0.000053 test-mlogloss:0.843599+0.046351
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## [165] train-mlogloss:0.007068+0.000054 test-mlogloss:0.844780+0.046602
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## [167] train-mlogloss:0.006994+0.000053 test-mlogloss:0.846349+0.047149
## [168] train-mlogloss:0.006956+0.000053 test-mlogloss:0.846630+0.047402
## [169] train-mlogloss:0.006921+0.000053 test-mlogloss:0.847200+0.047339
## [170] train-mlogloss:0.006883+0.000053 test-mlogloss:0.847959+0.047378
## [171] train-mlogloss:0.006848+0.000053 test-mlogloss:0.848480+0.047406
## [172] train-mlogloss:0.006814+0.000051 test-mlogloss:0.849078+0.047237
## [173] train-mlogloss:0.006780+0.000053 test-mlogloss:0.849710+0.047118
## [174] train-mlogloss:0.006745+0.000052 test-mlogloss:0.850309+0.047069
## [175] train-mlogloss:0.006709+0.000053 test-mlogloss:0.850970+0.046806
## [176] train-mlogloss:0.006674+0.000053 test-mlogloss:0.851593+0.047046
## [177] train-mlogloss:0.006643+0.000053 test-mlogloss:0.852289+0.047348
## [178] train-mlogloss:0.006610+0.000053 test-mlogloss:0.852834+0.047147
## [179] train-mlogloss:0.006578+0.000053 test-mlogloss:0.853095+0.046947
## [180] train-mlogloss:0.006546+0.000053 test-mlogloss:0.853985+0.047166
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## [182] train-mlogloss:0.006481+0.000053 test-mlogloss:0.854975+0.046782
## [183] train-mlogloss:0.006450+0.000054 test-mlogloss:0.855594+0.046875
## [184] train-mlogloss:0.006419+0.000054 test-mlogloss:0.855953+0.046794
## [185] train-mlogloss:0.006390+0.000053 test-mlogloss:0.856455+0.046747
## [186] train-mlogloss:0.006359+0.000051 test-mlogloss:0.856985+0.047108
## [187] train-mlogloss:0.006329+0.000053 test-mlogloss:0.857762+0.047138
## [188] train-mlogloss:0.006299+0.000052 test-mlogloss:0.858245+0.047389
## [189] train-mlogloss:0.006270+0.000051 test-mlogloss:0.858621+0.047564
## [190] train-mlogloss:0.006243+0.000051 test-mlogloss:0.859180+0.047182
## [191] train-mlogloss:0.006214+0.000052 test-mlogloss:0.860211+0.047318
## [192] train-mlogloss:0.006186+0.000053 test-mlogloss:0.860573+0.047200
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## [194] train-mlogloss:0.006132+0.000052 test-mlogloss:0.862022+0.047536
## [195] train-mlogloss:0.006104+0.000049 test-mlogloss:0.862571+0.047388
## [196] train-mlogloss:0.006078+0.000050 test-mlogloss:0.863181+0.047540
## [197] train-mlogloss:0.006052+0.000049 test-mlogloss:0.863991+0.047544
## [198] train-mlogloss:0.006025+0.000048 test-mlogloss:0.864478+0.047700
## [199] train-mlogloss:0.005999+0.000048 test-mlogloss:0.865084+0.047616
## [200] train-mlogloss:0.005974+0.000049 test-mlogloss:0.865562+0.047702
## [201] train-mlogloss:0.005949+0.000048 test-mlogloss:0.865963+0.047450
## [202] train-mlogloss:0.005926+0.000048 test-mlogloss:0.866482+0.047357
## [203] train-mlogloss:0.005901+0.000048 test-mlogloss:0.867263+0.047484
## [204] train-mlogloss:0.005878+0.000048 test-mlogloss:0.867628+0.047540
## [205] train-mlogloss:0.005855+0.000048 test-mlogloss:0.868155+0.047290
## [206] train-mlogloss:0.005832+0.000049 test-mlogloss:0.868751+0.047429
## [207] train-mlogloss:0.005808+0.000048 test-mlogloss:0.869691+0.047678
## [208] train-mlogloss:0.005785+0.000048 test-mlogloss:0.870385+0.047689
## [209] train-mlogloss:0.005762+0.000048 test-mlogloss:0.870765+0.047650
## [210] train-mlogloss:0.005740+0.000050 test-mlogloss:0.871321+0.047853
## [211] train-mlogloss:0.005716+0.000049 test-mlogloss:0.871701+0.047767
## [212] train-mlogloss:0.005694+0.000048 test-mlogloss:0.872410+0.047354
## [213] train-mlogloss:0.005670+0.000049 test-mlogloss:0.873155+0.047590
## [214] train-mlogloss:0.005648+0.000049 test-mlogloss:0.873884+0.047645
## [215] train-mlogloss:0.005626+0.000049 test-mlogloss:0.874287+0.047561
## [216] train-mlogloss:0.005604+0.000049 test-mlogloss:0.874901+0.047692
## [217] train-mlogloss:0.005582+0.000049 test-mlogloss:0.875086+0.047663
## [218] train-mlogloss:0.005560+0.000050 test-mlogloss:0.875470+0.047725
## [219] train-mlogloss:0.005537+0.000052 test-mlogloss:0.875985+0.047701
## [220] train-mlogloss:0.005516+0.000052 test-mlogloss:0.876578+0.047527
## [221] train-mlogloss:0.005495+0.000052 test-mlogloss:0.876914+0.047725
## [222] train-mlogloss:0.005475+0.000052 test-mlogloss:0.877596+0.047555
## [223] train-mlogloss:0.005454+0.000050 test-mlogloss:0.878166+0.047845
## [224] train-mlogloss:0.005434+0.000051 test-mlogloss:0.878933+0.047762
## [225] train-mlogloss:0.005413+0.000051 test-mlogloss:0.879548+0.048018
## [226] train-mlogloss:0.005392+0.000050 test-mlogloss:0.880003+0.048116
## [227] train-mlogloss:0.005373+0.000050 test-mlogloss:0.880394+0.048191
## [228] train-mlogloss:0.005354+0.000048 test-mlogloss:0.880844+0.048268
## [229] train-mlogloss:0.005336+0.000048 test-mlogloss:0.881567+0.048619
## [230] train-mlogloss:0.005317+0.000048 test-mlogloss:0.881982+0.048445
## [231] train-mlogloss:0.005298+0.000048 test-mlogloss:0.882304+0.048582
## [232] train-mlogloss:0.005280+0.000047 test-mlogloss:0.882911+0.048615
## [233] train-mlogloss:0.005263+0.000047 test-mlogloss:0.883307+0.048469
## [234] train-mlogloss:0.005245+0.000048 test-mlogloss:0.883658+0.048354
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## [236] train-mlogloss:0.005209+0.000047 test-mlogloss:0.884774+0.048641
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## [238] train-mlogloss:0.005174+0.000044 test-mlogloss:0.885868+0.048671
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## [243] train-mlogloss:0.005087+0.000046 test-mlogloss:0.888132+0.048605
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## [249] train-mlogloss:0.004987+0.000045 test-mlogloss:0.890791+0.049238
## [250] train-mlogloss:0.004971+0.000044 test-mlogloss:0.891176+0.049081
## [251] train-mlogloss:0.004954+0.000043 test-mlogloss:0.891809+0.049220
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## [255] train-mlogloss:0.004891+0.000043 test-mlogloss:0.893644+0.049310
## [256] train-mlogloss:0.004877+0.000043 test-mlogloss:0.894227+0.049308
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## [262] train-mlogloss:0.004787+0.000042 test-mlogloss:0.897180+0.050307
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## [275] train-mlogloss:0.004604+0.000039 test-mlogloss:0.903011+0.051587
## [276] train-mlogloss:0.004591+0.000040 test-mlogloss:0.903500+0.051726
## [277] train-mlogloss:0.004578+0.000039 test-mlogloss:0.904064+0.051405
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## [279] train-mlogloss:0.004552+0.000039 test-mlogloss:0.904530+0.051532
## [280] train-mlogloss:0.004539+0.000040 test-mlogloss:0.904711+0.051594
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## [282] train-mlogloss:0.004514+0.000041 test-mlogloss:0.905466+0.051654
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## [288] train-mlogloss:0.004441+0.000040 test-mlogloss:0.908021+0.051512
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## [290] train-mlogloss:0.004415+0.000039 test-mlogloss:0.908864+0.051192
## [291] train-mlogloss:0.004405+0.000039 test-mlogloss:0.909425+0.051525
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## [300] train-mlogloss:0.004302+0.000036 test-mlogloss:0.912213+0.052206
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## [308] train-mlogloss:0.004216+0.000037 test-mlogloss:0.915593+0.052442
## [309] train-mlogloss:0.004204+0.000036 test-mlogloss:0.915781+0.052483
## [310] train-mlogloss:0.004194+0.000036 test-mlogloss:0.916160+0.052464
## [311] train-mlogloss:0.004184+0.000036 test-mlogloss:0.916791+0.052576
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## [313] train-mlogloss:0.004164+0.000035 test-mlogloss:0.917552+0.052396
## [314] train-mlogloss:0.004155+0.000035 test-mlogloss:0.917884+0.052464
## [315] train-mlogloss:0.004144+0.000034 test-mlogloss:0.918188+0.052452
## [316] train-mlogloss:0.004134+0.000034 test-mlogloss:0.918846+0.052333
## [317] train-mlogloss:0.004124+0.000032 test-mlogloss:0.919027+0.052455
## [318] train-mlogloss:0.004114+0.000032 test-mlogloss:0.919516+0.052378
## [319] train-mlogloss:0.004105+0.000033 test-mlogloss:0.919654+0.052411
## [320] train-mlogloss:0.004095+0.000032 test-mlogloss:0.920007+0.052519
## [321] train-mlogloss:0.004086+0.000032 test-mlogloss:0.920316+0.052358
## [322] train-mlogloss:0.004077+0.000032 test-mlogloss:0.920758+0.052335
## [323] train-mlogloss:0.004067+0.000032 test-mlogloss:0.921241+0.052723
## [324] train-mlogloss:0.004057+0.000033 test-mlogloss:0.921648+0.052594
## [325] train-mlogloss:0.004047+0.000033 test-mlogloss:0.922079+0.052526
## [326] train-mlogloss:0.004038+0.000033 test-mlogloss:0.922242+0.052695
## [327] train-mlogloss:0.004028+0.000032 test-mlogloss:0.922612+0.052625
## [328] train-mlogloss:0.004019+0.000031 test-mlogloss:0.922785+0.052721
## [329] train-mlogloss:0.004010+0.000031 test-mlogloss:0.923264+0.052650
## [330] train-mlogloss:0.004001+0.000030 test-mlogloss:0.923527+0.052697
## [331] train-mlogloss:0.003992+0.000030 test-mlogloss:0.923778+0.052763
## [332] train-mlogloss:0.003983+0.000031 test-mlogloss:0.923806+0.052679
## [333] train-mlogloss:0.003974+0.000030 test-mlogloss:0.924003+0.052690
## [334] train-mlogloss:0.003965+0.000029 test-mlogloss:0.924301+0.052463
## [335] train-mlogloss:0.003957+0.000029 test-mlogloss:0.924502+0.052442
## [336] train-mlogloss:0.003947+0.000030 test-mlogloss:0.924999+0.052534
## [337] train-mlogloss:0.003938+0.000030 test-mlogloss:0.925526+0.052602
## [338] train-mlogloss:0.003928+0.000029 test-mlogloss:0.925715+0.052531
## [339] train-mlogloss:0.003919+0.000029 test-mlogloss:0.926096+0.052661
## [340] train-mlogloss:0.003910+0.000029 test-mlogloss:0.926284+0.052707
## [341] train-mlogloss:0.003901+0.000029 test-mlogloss:0.926842+0.052679
## [342] train-mlogloss:0.003892+0.000028 test-mlogloss:0.927131+0.052678
## [343] train-mlogloss:0.003884+0.000028 test-mlogloss:0.927855+0.052751
## [344] train-mlogloss:0.003876+0.000027 test-mlogloss:0.928324+0.052856
## [345] train-mlogloss:0.003868+0.000028 test-mlogloss:0.928661+0.052927
## [346] train-mlogloss:0.003859+0.000027 test-mlogloss:0.928909+0.052770
## [347] train-mlogloss:0.003851+0.000027 test-mlogloss:0.929108+0.052878
## [348] train-mlogloss:0.003844+0.000027 test-mlogloss:0.929375+0.052935
## [349] train-mlogloss:0.003836+0.000027 test-mlogloss:0.929529+0.052832
## [350] train-mlogloss:0.003828+0.000026 test-mlogloss:0.929853+0.053149
## [351] train-mlogloss:0.003819+0.000027 test-mlogloss:0.930049+0.053158
## [352] train-mlogloss:0.003811+0.000026 test-mlogloss:0.930361+0.053096
## [353] train-mlogloss:0.003802+0.000026 test-mlogloss:0.930535+0.053031
## [354] train-mlogloss:0.003795+0.000026 test-mlogloss:0.930974+0.053054
## [355] train-mlogloss:0.003787+0.000025 test-mlogloss:0.931256+0.053012
## [356] train-mlogloss:0.003779+0.000025 test-mlogloss:0.931632+0.053068
## [357] train-mlogloss:0.003770+0.000025 test-mlogloss:0.932008+0.053239
## [358] train-mlogloss:0.003763+0.000025 test-mlogloss:0.932352+0.053089
## [359] train-mlogloss:0.003755+0.000025 test-mlogloss:0.932614+0.053116
## [360] train-mlogloss:0.003747+0.000025 test-mlogloss:0.933035+0.053257
## [361] train-mlogloss:0.003739+0.000025 test-mlogloss:0.933250+0.053370
## [362] train-mlogloss:0.003732+0.000025 test-mlogloss:0.933591+0.053384
## [363] train-mlogloss:0.003725+0.000025 test-mlogloss:0.933773+0.053677
## [364] train-mlogloss:0.003717+0.000024 test-mlogloss:0.934173+0.053710
## [365] train-mlogloss:0.003710+0.000025 test-mlogloss:0.934150+0.053489
## [366] train-mlogloss:0.003702+0.000025 test-mlogloss:0.934607+0.053471
## [367] train-mlogloss:0.003695+0.000024 test-mlogloss:0.935093+0.053434
## [368] train-mlogloss:0.003687+0.000025 test-mlogloss:0.935379+0.053325
## [369] train-mlogloss:0.003680+0.000025 test-mlogloss:0.935568+0.053491
## [370] train-mlogloss:0.003672+0.000024 test-mlogloss:0.935609+0.053467
## [371] train-mlogloss:0.003664+0.000025 test-mlogloss:0.935915+0.053565
## [372] train-mlogloss:0.003657+0.000024 test-mlogloss:0.936079+0.053355
## [373] train-mlogloss:0.003650+0.000025 test-mlogloss:0.936560+0.052983
## [374] train-mlogloss:0.003643+0.000024 test-mlogloss:0.936583+0.053204
## [375] train-mlogloss:0.003636+0.000024 test-mlogloss:0.936873+0.053277
## [376] train-mlogloss:0.003628+0.000024 test-mlogloss:0.937368+0.053557
## [377] train-mlogloss:0.003621+0.000025 test-mlogloss:0.937744+0.053642
## [378] train-mlogloss:0.003614+0.000025 test-mlogloss:0.938264+0.053691
## [379] train-mlogloss:0.003607+0.000025 test-mlogloss:0.938330+0.053574
## [380] train-mlogloss:0.003600+0.000025 test-mlogloss:0.938642+0.053690
## [381] train-mlogloss:0.003593+0.000025 test-mlogloss:0.938918+0.053615
## [382] train-mlogloss:0.003587+0.000024 test-mlogloss:0.939368+0.053583
## [383] train-mlogloss:0.003580+0.000024 test-mlogloss:0.939728+0.053732
## [384] train-mlogloss:0.003573+0.000024 test-mlogloss:0.940131+0.053772
## [385] train-mlogloss:0.003567+0.000024 test-mlogloss:0.940346+0.053721
## [386] train-mlogloss:0.003560+0.000024 test-mlogloss:0.940713+0.053702
## [387] train-mlogloss:0.003553+0.000024 test-mlogloss:0.941061+0.053836
## [388] train-mlogloss:0.003546+0.000024 test-mlogloss:0.941512+0.053884
## [389] train-mlogloss:0.003539+0.000024 test-mlogloss:0.941737+0.054214
## [390] train-mlogloss:0.003533+0.000023 test-mlogloss:0.941993+0.054176
## [391] train-mlogloss:0.003526+0.000023 test-mlogloss:0.942118+0.054015
## [392] train-mlogloss:0.003519+0.000023 test-mlogloss:0.942493+0.053990
## [393] train-mlogloss:0.003512+0.000024 test-mlogloss:0.943076+0.054167
## [394] train-mlogloss:0.003505+0.000023 test-mlogloss:0.943500+0.054240
## [395] train-mlogloss:0.003498+0.000023 test-mlogloss:0.943952+0.054221
## [396] train-mlogloss:0.003492+0.000023 test-mlogloss:0.944207+0.054049
## [397] train-mlogloss:0.003485+0.000023 test-mlogloss:0.944693+0.054219
## [398] train-mlogloss:0.003478+0.000022 test-mlogloss:0.945081+0.054343
## [399] train-mlogloss:0.003472+0.000022 test-mlogloss:0.945246+0.054314
## [400] train-mlogloss:0.003466+0.000022 test-mlogloss:0.945415+0.054309
## [401] train-mlogloss:0.003459+0.000022 test-mlogloss:0.945748+0.054409
## [402] train-mlogloss:0.003453+0.000022 test-mlogloss:0.946095+0.054294
## [403] train-mlogloss:0.003447+0.000022 test-mlogloss:0.946142+0.054299
## [404] train-mlogloss:0.003440+0.000022 test-mlogloss:0.946326+0.054322
## [405] train-mlogloss:0.003434+0.000022 test-mlogloss:0.946705+0.054423
## [406] train-mlogloss:0.003428+0.000022 test-mlogloss:0.946963+0.054330
## [407] train-mlogloss:0.003422+0.000021 test-mlogloss:0.947337+0.054149
## [408] train-mlogloss:0.003416+0.000021 test-mlogloss:0.947691+0.054208
## [409] train-mlogloss:0.003410+0.000021 test-mlogloss:0.948005+0.054175
## [410] train-mlogloss:0.003405+0.000021 test-mlogloss:0.948038+0.054165
## [411] train-mlogloss:0.003398+0.000020 test-mlogloss:0.948181+0.054236
## [412] train-mlogloss:0.003392+0.000021 test-mlogloss:0.948544+0.054178
## [413] train-mlogloss:0.003386+0.000021 test-mlogloss:0.948677+0.054351
## [414] train-mlogloss:0.003380+0.000022 test-mlogloss:0.948938+0.054339
## [415] train-mlogloss:0.003375+0.000022 test-mlogloss:0.949047+0.054208
## [416] train-mlogloss:0.003370+0.000021 test-mlogloss:0.949440+0.054176
## [417] train-mlogloss:0.003363+0.000020 test-mlogloss:0.949485+0.054320
## [418] train-mlogloss:0.003358+0.000021 test-mlogloss:0.949570+0.054489
## [419] train-mlogloss:0.003352+0.000021 test-mlogloss:0.949752+0.054678
## [420] train-mlogloss:0.003346+0.000021 test-mlogloss:0.950072+0.054452
## [421] train-mlogloss:0.003340+0.000020 test-mlogloss:0.950461+0.054554
## [422] train-mlogloss:0.003335+0.000020 test-mlogloss:0.950668+0.054736
## [423] train-mlogloss:0.003330+0.000021 test-mlogloss:0.950941+0.054901
## [424] train-mlogloss:0.003323+0.000020 test-mlogloss:0.951252+0.054892
## [425] train-mlogloss:0.003318+0.000021 test-mlogloss:0.951391+0.054888
## [426] train-mlogloss:0.003313+0.000021 test-mlogloss:0.951539+0.054954
## [427] train-mlogloss:0.003307+0.000021 test-mlogloss:0.951998+0.054839
## [428] train-mlogloss:0.003301+0.000022 test-mlogloss:0.952303+0.054847
## [429] train-mlogloss:0.003296+0.000022 test-mlogloss:0.952514+0.054731
## [430] train-mlogloss:0.003291+0.000022 test-mlogloss:0.952724+0.054705
## [431] train-mlogloss:0.003285+0.000022 test-mlogloss:0.953248+0.054828
## [432] train-mlogloss:0.003280+0.000022 test-mlogloss:0.953536+0.054705
## [433] train-mlogloss:0.003275+0.000022 test-mlogloss:0.953982+0.054552
## [434] train-mlogloss:0.003270+0.000022 test-mlogloss:0.954087+0.054595
## [435] train-mlogloss:0.003264+0.000022 test-mlogloss:0.954136+0.054774
## [436] train-mlogloss:0.003259+0.000022 test-mlogloss:0.954547+0.054854
## [437] train-mlogloss:0.003254+0.000022 test-mlogloss:0.954843+0.055107
## [438] train-mlogloss:0.003249+0.000022 test-mlogloss:0.955205+0.055159
## [439] train-mlogloss:0.003244+0.000022 test-mlogloss:0.955309+0.054867
## [440] train-mlogloss:0.003239+0.000022 test-mlogloss:0.955525+0.054942
## [441] train-mlogloss:0.003233+0.000022 test-mlogloss:0.955952+0.054794
## [442] train-mlogloss:0.003228+0.000021 test-mlogloss:0.956064+0.054779
## [443] train-mlogloss:0.003223+0.000021 test-mlogloss:0.956144+0.054845
## [444] train-mlogloss:0.003218+0.000021 test-mlogloss:0.956401+0.054788
## [445] train-mlogloss:0.003213+0.000021 test-mlogloss:0.956834+0.054796
## [446] train-mlogloss:0.003208+0.000020 test-mlogloss:0.957243+0.054772
## [447] train-mlogloss:0.003203+0.000020 test-mlogloss:0.957739+0.054693
## [448] train-mlogloss:0.003198+0.000020 test-mlogloss:0.957974+0.054791
## [449] train-mlogloss:0.003192+0.000021 test-mlogloss:0.958189+0.054721
## [450] train-mlogloss:0.003188+0.000021 test-mlogloss:0.958400+0.054653
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## [452] train-mlogloss:0.003178+0.000020 test-mlogloss:0.959139+0.054795
## [453] train-mlogloss:0.003173+0.000020 test-mlogloss:0.959477+0.054887
## [454] train-mlogloss:0.003168+0.000021 test-mlogloss:0.959685+0.054605
## [455] train-mlogloss:0.003163+0.000020 test-mlogloss:0.959848+0.054678
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## [457] train-mlogloss:0.003153+0.000021 test-mlogloss:0.960341+0.054649
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## [459] train-mlogloss:0.003143+0.000021 test-mlogloss:0.960725+0.054466
## [460] train-mlogloss:0.003138+0.000022 test-mlogloss:0.960903+0.054545
## [461] train-mlogloss:0.003133+0.000022 test-mlogloss:0.961449+0.054813
## [462] train-mlogloss:0.003128+0.000022 test-mlogloss:0.961743+0.054756
## [463] train-mlogloss:0.003124+0.000022 test-mlogloss:0.961870+0.054840
## [464] train-mlogloss:0.003119+0.000022 test-mlogloss:0.962083+0.054900
## [465] train-mlogloss:0.003114+0.000022 test-mlogloss:0.962327+0.054912
## [466] train-mlogloss:0.003109+0.000022 test-mlogloss:0.962470+0.054871
## [467] train-mlogloss:0.003105+0.000022 test-mlogloss:0.962830+0.054952
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## [469] train-mlogloss:0.003095+0.000022 test-mlogloss:0.963287+0.054950
## [470] train-mlogloss:0.003091+0.000022 test-mlogloss:0.963542+0.054857
## [471] train-mlogloss:0.003086+0.000022 test-mlogloss:0.963863+0.054775
## [472] train-mlogloss:0.003082+0.000021 test-mlogloss:0.964329+0.054930
## [473] train-mlogloss:0.003077+0.000022 test-mlogloss:0.964664+0.055090
## [474] train-mlogloss:0.003072+0.000022 test-mlogloss:0.965050+0.055084
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## [476] train-mlogloss:0.003064+0.000022 test-mlogloss:0.965513+0.055179
## [477] train-mlogloss:0.003059+0.000022 test-mlogloss:0.965692+0.055160
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## [480] train-mlogloss:0.003046+0.000023 test-mlogloss:0.966118+0.055336
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## [483] train-mlogloss:0.003032+0.000023 test-mlogloss:0.967206+0.055197
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## [485] train-mlogloss:0.003024+0.000023 test-mlogloss:0.967664+0.055410
## [486] train-mlogloss:0.003019+0.000023 test-mlogloss:0.967908+0.055412
## [487] train-mlogloss:0.003015+0.000023 test-mlogloss:0.968079+0.055244
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## [491] train-mlogloss:0.002998+0.000023 test-mlogloss:0.968955+0.055377
## [492] train-mlogloss:0.002994+0.000022 test-mlogloss:0.968942+0.055414
## [493] train-mlogloss:0.002990+0.000022 test-mlogloss:0.969104+0.055270
## [494] train-mlogloss:0.002986+0.000022 test-mlogloss:0.969217+0.055179
## [495] train-mlogloss:0.002982+0.000023 test-mlogloss:0.969563+0.055082
## [496] train-mlogloss:0.002977+0.000022 test-mlogloss:0.969626+0.055190
## [497] train-mlogloss:0.002973+0.000023 test-mlogloss:0.970016+0.055306
## [498] train-mlogloss:0.002970+0.000023 test-mlogloss:0.970198+0.055271
## [499] train-mlogloss:0.002966+0.000023 test-mlogloss:0.970364+0.055323
## [500] train-mlogloss:0.002962+0.000024 test-mlogloss:0.970304+0.055409
## [1] train-mlogloss:0.540690+0.002423 test-mlogloss:0.557689+0.008170
## [2] train-mlogloss:0.509010+0.002872 test-mlogloss:0.541239+0.009699
## [3] train-mlogloss:0.493929+0.003608 test-mlogloss:0.540483+0.011098
## [4] train-mlogloss:0.483684+0.002726 test-mlogloss:0.541354+0.011765
## [5] train-mlogloss:0.474470+0.003328 test-mlogloss:0.543140+0.012537
## [6] train-mlogloss:0.466989+0.004779 test-mlogloss:0.546588+0.014068
## [7] train-mlogloss:0.459244+0.004261 test-mlogloss:0.548456+0.013465
## [8] train-mlogloss:0.452564+0.004054 test-mlogloss:0.551432+0.013431
## [9] train-mlogloss:0.443048+0.004142 test-mlogloss:0.555196+0.015271
## [10] train-mlogloss:0.435656+0.003752 test-mlogloss:0.557623+0.014925
## [11] train-mlogloss:0.428906+0.003913 test-mlogloss:0.560836+0.016000
## [12] train-mlogloss:0.420771+0.004386 test-mlogloss:0.564770+0.015338
## [13] train-mlogloss:0.414556+0.004842 test-mlogloss:0.567589+0.015060
## [14] train-mlogloss:0.408960+0.004729 test-mlogloss:0.571144+0.015442
## [15] train-mlogloss:0.402466+0.005525 test-mlogloss:0.573943+0.014644
## [16] train-mlogloss:0.396270+0.005188 test-mlogloss:0.574709+0.016479
## [17] train-mlogloss:0.389978+0.005523 test-mlogloss:0.578347+0.016537
## [18] train-mlogloss:0.382983+0.005132 test-mlogloss:0.580362+0.015924
## [19] train-mlogloss:0.376646+0.006390 test-mlogloss:0.584315+0.016776
## [20] train-mlogloss:0.371058+0.006474 test-mlogloss:0.586522+0.018115
## [21] train-mlogloss:0.364489+0.006489 test-mlogloss:0.588629+0.015882
## [22] train-mlogloss:0.358294+0.007535 test-mlogloss:0.590921+0.014730
## [23] train-mlogloss:0.351611+0.007818 test-mlogloss:0.593907+0.014917
## [24] train-mlogloss:0.346610+0.007089 test-mlogloss:0.596896+0.015366
## [25] train-mlogloss:0.340562+0.007580 test-mlogloss:0.600689+0.015989
## [26] train-mlogloss:0.334094+0.007510 test-mlogloss:0.602412+0.016262
## [27] train-mlogloss:0.329213+0.007784 test-mlogloss:0.603764+0.016267
## [28] train-mlogloss:0.323986+0.007414 test-mlogloss:0.606948+0.016314
## [29] train-mlogloss:0.317889+0.007545 test-mlogloss:0.608798+0.014767
## [30] train-mlogloss:0.312211+0.007428 test-mlogloss:0.610272+0.015859
## [31] train-mlogloss:0.306749+0.007492 test-mlogloss:0.612934+0.014506
## [32] train-mlogloss:0.302592+0.006881 test-mlogloss:0.614689+0.014598
## [33] train-mlogloss:0.297568+0.007176 test-mlogloss:0.619723+0.014938
## [34] train-mlogloss:0.292902+0.007512 test-mlogloss:0.620918+0.015072
## [35] train-mlogloss:0.287719+0.006940 test-mlogloss:0.622831+0.014944
## [36] train-mlogloss:0.284130+0.007358 test-mlogloss:0.623601+0.015048
## [37] train-mlogloss:0.280195+0.007416 test-mlogloss:0.625272+0.015141
## [38] train-mlogloss:0.275181+0.006990 test-mlogloss:0.628740+0.015092
## [39] train-mlogloss:0.272114+0.007632 test-mlogloss:0.628913+0.015222
## [40] train-mlogloss:0.268607+0.007747 test-mlogloss:0.631422+0.014945
## [41] train-mlogloss:0.264345+0.006887 test-mlogloss:0.633878+0.013606
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## [45] train-mlogloss:0.247722+0.007880 test-mlogloss:0.642204+0.016329
## [46] train-mlogloss:0.243925+0.006934 test-mlogloss:0.644657+0.016297
## [47] train-mlogloss:0.240308+0.006521 test-mlogloss:0.647182+0.014683
## [48] train-mlogloss:0.236569+0.005682 test-mlogloss:0.647801+0.015001
## [49] train-mlogloss:0.232499+0.005506 test-mlogloss:0.650514+0.015719
## [50] train-mlogloss:0.229261+0.005256 test-mlogloss:0.652195+0.016469
## [51] train-mlogloss:0.225469+0.005626 test-mlogloss:0.654184+0.017204
## [52] train-mlogloss:0.221576+0.005212 test-mlogloss:0.656938+0.017683
## [53] train-mlogloss:0.217967+0.005995 test-mlogloss:0.658875+0.017960
## [54] train-mlogloss:0.214678+0.005987 test-mlogloss:0.660079+0.018908
## [55] train-mlogloss:0.211360+0.006156 test-mlogloss:0.662794+0.019149
## [56] train-mlogloss:0.207773+0.006678 test-mlogloss:0.663947+0.019376
## [57] train-mlogloss:0.204718+0.006996 test-mlogloss:0.666294+0.019827
## [58] train-mlogloss:0.201159+0.006598 test-mlogloss:0.669558+0.019673
## [59] train-mlogloss:0.197973+0.006817 test-mlogloss:0.671481+0.017732
## [60] train-mlogloss:0.195098+0.007137 test-mlogloss:0.673882+0.017252
## [61] train-mlogloss:0.192340+0.006460 test-mlogloss:0.675906+0.017287
## [62] train-mlogloss:0.189310+0.006119 test-mlogloss:0.677144+0.016758
## [63] train-mlogloss:0.185649+0.005640 test-mlogloss:0.680477+0.017626
## [64] train-mlogloss:0.182966+0.005751 test-mlogloss:0.682613+0.017312
## [65] train-mlogloss:0.179886+0.005463 test-mlogloss:0.685460+0.017251
## [66] train-mlogloss:0.176969+0.005176 test-mlogloss:0.687911+0.019015
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## [68] train-mlogloss:0.171625+0.005127 test-mlogloss:0.692228+0.021506
## [69] train-mlogloss:0.169209+0.005332 test-mlogloss:0.694505+0.021223
## [70] train-mlogloss:0.167194+0.005404 test-mlogloss:0.695662+0.021701
## [71] train-mlogloss:0.164653+0.005379 test-mlogloss:0.697344+0.020772
## [72] train-mlogloss:0.161937+0.005498 test-mlogloss:0.699964+0.021536
## [73] train-mlogloss:0.159595+0.005641 test-mlogloss:0.701429+0.022154
## [74] train-mlogloss:0.157211+0.005490 test-mlogloss:0.704560+0.022119
## [75] train-mlogloss:0.154705+0.005314 test-mlogloss:0.706444+0.021871
## [76] train-mlogloss:0.152351+0.005253 test-mlogloss:0.708250+0.021668
## [77] train-mlogloss:0.150021+0.004968 test-mlogloss:0.710907+0.022788
## [78] train-mlogloss:0.148202+0.005015 test-mlogloss:0.713805+0.021749
## [79] train-mlogloss:0.146327+0.005381 test-mlogloss:0.715224+0.022702
## [80] train-mlogloss:0.143788+0.005350 test-mlogloss:0.717304+0.022848
## [81] train-mlogloss:0.141866+0.005134 test-mlogloss:0.719096+0.023082
## [82] train-mlogloss:0.139621+0.004870 test-mlogloss:0.722058+0.023617
## [83] train-mlogloss:0.137706+0.005115 test-mlogloss:0.722877+0.024890
## [84] train-mlogloss:0.135376+0.005077 test-mlogloss:0.724223+0.024965
## [85] train-mlogloss:0.133154+0.005080 test-mlogloss:0.725274+0.023937
## [86] train-mlogloss:0.130847+0.005151 test-mlogloss:0.726725+0.024300
## [87] train-mlogloss:0.128917+0.005159 test-mlogloss:0.730204+0.024253
## [88] train-mlogloss:0.126806+0.005120 test-mlogloss:0.732828+0.025000
## [89] train-mlogloss:0.125040+0.005359 test-mlogloss:0.736245+0.025004
## [90] train-mlogloss:0.123297+0.005210 test-mlogloss:0.737312+0.023871
## [91] train-mlogloss:0.121541+0.004848 test-mlogloss:0.738724+0.024003
## [92] train-mlogloss:0.119596+0.004493 test-mlogloss:0.740246+0.023671
## [93] train-mlogloss:0.117758+0.004321 test-mlogloss:0.743646+0.024317
## [94] train-mlogloss:0.116031+0.004041 test-mlogloss:0.746176+0.025637
## [95] train-mlogloss:0.114097+0.003785 test-mlogloss:0.748368+0.025668
## [96] train-mlogloss:0.112628+0.003676 test-mlogloss:0.749980+0.025330
## [97] train-mlogloss:0.111158+0.003342 test-mlogloss:0.752744+0.025791
## [98] train-mlogloss:0.109285+0.003184 test-mlogloss:0.754551+0.025054
## [99] train-mlogloss:0.107388+0.002916 test-mlogloss:0.755353+0.025267
## [100] train-mlogloss:0.106143+0.002716 test-mlogloss:0.757119+0.024766
## [101] train-mlogloss:0.104846+0.002408 test-mlogloss:0.758431+0.024575
## [102] train-mlogloss:0.103187+0.002525 test-mlogloss:0.760088+0.023632
## [103] train-mlogloss:0.101877+0.002637 test-mlogloss:0.761817+0.023730
## [104] train-mlogloss:0.100470+0.002704 test-mlogloss:0.763417+0.022932
## [105] train-mlogloss:0.099214+0.002649 test-mlogloss:0.765037+0.023977
## [106] train-mlogloss:0.097623+0.002506 test-mlogloss:0.768033+0.024423
## [107] train-mlogloss:0.096215+0.002521 test-mlogloss:0.769264+0.024311
## [108] train-mlogloss:0.094745+0.002625 test-mlogloss:0.772204+0.025704
## [109] train-mlogloss:0.093059+0.002588 test-mlogloss:0.775552+0.027753
## [110] train-mlogloss:0.091818+0.002606 test-mlogloss:0.777842+0.027656
## [111] train-mlogloss:0.090666+0.002720 test-mlogloss:0.779725+0.027812
## [112] train-mlogloss:0.089398+0.002660 test-mlogloss:0.782957+0.028909
## [113] train-mlogloss:0.088078+0.002589 test-mlogloss:0.785147+0.029278
## [114] train-mlogloss:0.086932+0.002643 test-mlogloss:0.787723+0.029060
## [115] train-mlogloss:0.085951+0.002717 test-mlogloss:0.788029+0.029475
## [116] train-mlogloss:0.084943+0.002632 test-mlogloss:0.788420+0.028761
## [117] train-mlogloss:0.083687+0.002871 test-mlogloss:0.790018+0.028697
## [118] train-mlogloss:0.082641+0.002758 test-mlogloss:0.792564+0.027037
## [119] train-mlogloss:0.081573+0.002723 test-mlogloss:0.791822+0.027970
## [120] train-mlogloss:0.080483+0.002488 test-mlogloss:0.794089+0.028025
## [121] train-mlogloss:0.079539+0.002342 test-mlogloss:0.795772+0.028680
## [122] train-mlogloss:0.078608+0.002254 test-mlogloss:0.796426+0.028272
## [123] train-mlogloss:0.077452+0.002304 test-mlogloss:0.797139+0.028899
## [124] train-mlogloss:0.076478+0.002265 test-mlogloss:0.799949+0.028370
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## [132] train-mlogloss:0.068300+0.002038 test-mlogloss:0.813641+0.031589
## [133] train-mlogloss:0.067556+0.001948 test-mlogloss:0.815237+0.031936
## [134] train-mlogloss:0.066712+0.001920 test-mlogloss:0.816318+0.032699
## [135] train-mlogloss:0.065963+0.001967 test-mlogloss:0.817919+0.033841
## [136] train-mlogloss:0.064942+0.001815 test-mlogloss:0.819804+0.033045
## [137] train-mlogloss:0.064082+0.001768 test-mlogloss:0.822252+0.032574
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## [139] train-mlogloss:0.062421+0.002009 test-mlogloss:0.824688+0.033122
## [140] train-mlogloss:0.061587+0.001916 test-mlogloss:0.826633+0.032344
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## [142] train-mlogloss:0.060105+0.001885 test-mlogloss:0.830722+0.033262
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## [144] train-mlogloss:0.058566+0.002027 test-mlogloss:0.833235+0.033783
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## [150] train-mlogloss:0.054252+0.002270 test-mlogloss:0.842571+0.035382
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## [156] train-mlogloss:0.050245+0.002048 test-mlogloss:0.849111+0.035848
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## [159] train-mlogloss:0.048309+0.001934 test-mlogloss:0.854223+0.036360
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## [209] train-mlogloss:0.027871+0.001324 test-mlogloss:0.922948+0.051449
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## [213] train-mlogloss:0.026711+0.001322 test-mlogloss:0.930751+0.050972
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## [234] train-mlogloss:0.021599+0.001024 test-mlogloss:0.955509+0.050978
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## [236] train-mlogloss:0.021223+0.000987 test-mlogloss:0.958124+0.050789
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## [238] train-mlogloss:0.020877+0.000977 test-mlogloss:0.961128+0.049965
## [239] train-mlogloss:0.020665+0.000974 test-mlogloss:0.962219+0.050078
## [240] train-mlogloss:0.020495+0.000960 test-mlogloss:0.963337+0.049575
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## [242] train-mlogloss:0.020110+0.000861 test-mlogloss:0.965148+0.049214
## [243] train-mlogloss:0.019898+0.000850 test-mlogloss:0.967406+0.048574
## [244] train-mlogloss:0.019697+0.000825 test-mlogloss:0.967935+0.048760
## [245] train-mlogloss:0.019507+0.000805 test-mlogloss:0.969265+0.048807
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## [247] train-mlogloss:0.019202+0.000782 test-mlogloss:0.972858+0.048897
## [248] train-mlogloss:0.019062+0.000766 test-mlogloss:0.974374+0.048178
## [249] train-mlogloss:0.018862+0.000729 test-mlogloss:0.974981+0.048302
## [250] train-mlogloss:0.018730+0.000707 test-mlogloss:0.976197+0.049280
## [251] train-mlogloss:0.018557+0.000694 test-mlogloss:0.978071+0.049155
## [252] train-mlogloss:0.018405+0.000669 test-mlogloss:0.979076+0.049767
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## [254] train-mlogloss:0.018109+0.000658 test-mlogloss:0.981550+0.049487
## [255] train-mlogloss:0.017964+0.000666 test-mlogloss:0.982570+0.048219
## [256] train-mlogloss:0.017833+0.000669 test-mlogloss:0.983048+0.048755
## [257] train-mlogloss:0.017685+0.000683 test-mlogloss:0.984843+0.048997
## [258] train-mlogloss:0.017538+0.000696 test-mlogloss:0.985871+0.049478
## [259] train-mlogloss:0.017405+0.000741 test-mlogloss:0.986686+0.049004
## [260] train-mlogloss:0.017268+0.000757 test-mlogloss:0.988223+0.049255
## [261] train-mlogloss:0.017139+0.000774 test-mlogloss:0.989069+0.049557
## [262] train-mlogloss:0.016966+0.000742 test-mlogloss:0.990395+0.049625
## [263] train-mlogloss:0.016833+0.000734 test-mlogloss:0.991637+0.049506
## [264] train-mlogloss:0.016692+0.000732 test-mlogloss:0.993627+0.050529
## [265] train-mlogloss:0.016545+0.000746 test-mlogloss:0.994579+0.051146
## [266] train-mlogloss:0.016378+0.000724 test-mlogloss:0.996454+0.050939
## [267] train-mlogloss:0.016235+0.000696 test-mlogloss:0.997120+0.049944
## [268] train-mlogloss:0.016127+0.000691 test-mlogloss:0.997679+0.049856
## [269] train-mlogloss:0.015994+0.000690 test-mlogloss:0.999176+0.050503
## [270] train-mlogloss:0.015872+0.000672 test-mlogloss:1.000001+0.051096
## [271] train-mlogloss:0.015748+0.000681 test-mlogloss:1.000943+0.050817
## [272] train-mlogloss:0.015623+0.000698 test-mlogloss:1.001602+0.050815
## [273] train-mlogloss:0.015526+0.000690 test-mlogloss:1.002527+0.050503
## [274] train-mlogloss:0.015415+0.000675 test-mlogloss:1.003960+0.051232
## [275] train-mlogloss:0.015290+0.000664 test-mlogloss:1.005377+0.051482
## [276] train-mlogloss:0.015189+0.000645 test-mlogloss:1.006747+0.051814
## [277] train-mlogloss:0.015085+0.000611 test-mlogloss:1.007727+0.052025
## [278] train-mlogloss:0.014966+0.000598 test-mlogloss:1.008726+0.050914
## [279] train-mlogloss:0.014841+0.000621 test-mlogloss:1.009731+0.050840
## [280] train-mlogloss:0.014720+0.000629 test-mlogloss:1.010790+0.050538
## [281] train-mlogloss:0.014623+0.000626 test-mlogloss:1.011940+0.050887
## [282] train-mlogloss:0.014509+0.000630 test-mlogloss:1.012985+0.051275
## [283] train-mlogloss:0.014407+0.000619 test-mlogloss:1.013504+0.050388
## [284] train-mlogloss:0.014292+0.000607 test-mlogloss:1.014419+0.050724
## [285] train-mlogloss:0.014181+0.000609 test-mlogloss:1.015226+0.051597
## [286] train-mlogloss:0.014086+0.000613 test-mlogloss:1.016494+0.051328
## [287] train-mlogloss:0.013984+0.000620 test-mlogloss:1.017677+0.051960
## [288] train-mlogloss:0.013885+0.000611 test-mlogloss:1.018843+0.051925
## [289] train-mlogloss:0.013781+0.000604 test-mlogloss:1.020416+0.052223
## [290] train-mlogloss:0.013702+0.000582 test-mlogloss:1.022212+0.052253
## [291] train-mlogloss:0.013586+0.000544 test-mlogloss:1.022959+0.052831
## [292] train-mlogloss:0.013479+0.000528 test-mlogloss:1.023901+0.052515
## [293] train-mlogloss:0.013370+0.000535 test-mlogloss:1.024821+0.051744
## [294] train-mlogloss:0.013264+0.000534 test-mlogloss:1.025900+0.051867
## [295] train-mlogloss:0.013177+0.000535 test-mlogloss:1.026552+0.051644
## [296] train-mlogloss:0.013065+0.000516 test-mlogloss:1.027576+0.051767
## [297] train-mlogloss:0.012983+0.000509 test-mlogloss:1.027809+0.051440
## [298] train-mlogloss:0.012880+0.000518 test-mlogloss:1.029418+0.052325
## [299] train-mlogloss:0.012792+0.000507 test-mlogloss:1.030008+0.052105
## [300] train-mlogloss:0.012704+0.000508 test-mlogloss:1.030989+0.052050
## [301] train-mlogloss:0.012623+0.000508 test-mlogloss:1.032023+0.051769
## [302] train-mlogloss:0.012529+0.000507 test-mlogloss:1.033328+0.052112
## [303] train-mlogloss:0.012433+0.000500 test-mlogloss:1.034807+0.052392
## [304] train-mlogloss:0.012357+0.000481 test-mlogloss:1.036497+0.052626
## [305] train-mlogloss:0.012289+0.000467 test-mlogloss:1.037172+0.052753
## [306] train-mlogloss:0.012216+0.000442 test-mlogloss:1.037665+0.052716
## [307] train-mlogloss:0.012140+0.000442 test-mlogloss:1.038562+0.052993
## [308] train-mlogloss:0.012074+0.000428 test-mlogloss:1.039265+0.053102
## [309] train-mlogloss:0.011989+0.000418 test-mlogloss:1.039900+0.052965
## [310] train-mlogloss:0.011899+0.000427 test-mlogloss:1.041308+0.053056
## [311] train-mlogloss:0.011830+0.000433 test-mlogloss:1.042295+0.053226
## [312] train-mlogloss:0.011758+0.000430 test-mlogloss:1.043296+0.053564
## [313] train-mlogloss:0.011661+0.000419 test-mlogloss:1.045171+0.053224
## [314] train-mlogloss:0.011599+0.000421 test-mlogloss:1.046183+0.053199
## [315] train-mlogloss:0.011502+0.000409 test-mlogloss:1.048123+0.051805
## [316] train-mlogloss:0.011428+0.000408 test-mlogloss:1.049339+0.052091
## [317] train-mlogloss:0.011360+0.000401 test-mlogloss:1.050924+0.052347
## [318] train-mlogloss:0.011292+0.000402 test-mlogloss:1.051847+0.052640
## [319] train-mlogloss:0.011209+0.000397 test-mlogloss:1.052015+0.052580
## [320] train-mlogloss:0.011139+0.000399 test-mlogloss:1.052871+0.052974
## [321] train-mlogloss:0.011065+0.000404 test-mlogloss:1.054162+0.053142
## [322] train-mlogloss:0.010992+0.000400 test-mlogloss:1.054574+0.052813
## [323] train-mlogloss:0.010915+0.000400 test-mlogloss:1.055379+0.052231
## [324] train-mlogloss:0.010837+0.000396 test-mlogloss:1.056513+0.053279
## [325] train-mlogloss:0.010770+0.000372 test-mlogloss:1.057474+0.053783
## [326] train-mlogloss:0.010693+0.000369 test-mlogloss:1.058087+0.053961
## [327] train-mlogloss:0.010607+0.000370 test-mlogloss:1.058918+0.053911
## [328] train-mlogloss:0.010535+0.000372 test-mlogloss:1.059979+0.054677
## [329] train-mlogloss:0.010479+0.000357 test-mlogloss:1.061584+0.054842
## [330] train-mlogloss:0.010421+0.000357 test-mlogloss:1.062100+0.054795
## [331] train-mlogloss:0.010357+0.000358 test-mlogloss:1.062668+0.055062
## [332] train-mlogloss:0.010306+0.000359 test-mlogloss:1.063225+0.055156
## [333] train-mlogloss:0.010240+0.000357 test-mlogloss:1.064429+0.055518
## [334] train-mlogloss:0.010179+0.000357 test-mlogloss:1.065576+0.055425
## [335] train-mlogloss:0.010115+0.000358 test-mlogloss:1.066201+0.055084
## [336] train-mlogloss:0.010049+0.000370 test-mlogloss:1.067493+0.056046
## [337] train-mlogloss:0.009986+0.000372 test-mlogloss:1.067451+0.056452
## [338] train-mlogloss:0.009923+0.000356 test-mlogloss:1.068754+0.056752
## [339] train-mlogloss:0.009853+0.000351 test-mlogloss:1.070120+0.056493
## [340] train-mlogloss:0.009801+0.000347 test-mlogloss:1.071435+0.057168
## [341] train-mlogloss:0.009748+0.000359 test-mlogloss:1.072312+0.057250
## [342] train-mlogloss:0.009694+0.000360 test-mlogloss:1.073026+0.056859
## [343] train-mlogloss:0.009630+0.000333 test-mlogloss:1.074130+0.056133
## [344] train-mlogloss:0.009581+0.000339 test-mlogloss:1.075192+0.056642
## [345] train-mlogloss:0.009526+0.000347 test-mlogloss:1.076426+0.057384
## [346] train-mlogloss:0.009479+0.000353 test-mlogloss:1.077339+0.057341
## [347] train-mlogloss:0.009436+0.000356 test-mlogloss:1.078048+0.057447
## [348] train-mlogloss:0.009379+0.000360 test-mlogloss:1.078769+0.057220
## [349] train-mlogloss:0.009329+0.000346 test-mlogloss:1.079089+0.057782
## [350] train-mlogloss:0.009295+0.000344 test-mlogloss:1.079680+0.058347
## [351] train-mlogloss:0.009242+0.000336 test-mlogloss:1.080566+0.058637
## [352] train-mlogloss:0.009193+0.000344 test-mlogloss:1.081391+0.058316
## [353] train-mlogloss:0.009143+0.000334 test-mlogloss:1.082392+0.057260
## [354] train-mlogloss:0.009091+0.000331 test-mlogloss:1.083520+0.057865
## [355] train-mlogloss:0.009039+0.000318 test-mlogloss:1.084398+0.057709
## [356] train-mlogloss:0.008984+0.000314 test-mlogloss:1.085419+0.057577
## [357] train-mlogloss:0.008933+0.000297 test-mlogloss:1.085653+0.057352
## [358] train-mlogloss:0.008875+0.000306 test-mlogloss:1.086884+0.057321
## [359] train-mlogloss:0.008835+0.000308 test-mlogloss:1.087862+0.057684
## [360] train-mlogloss:0.008793+0.000313 test-mlogloss:1.087825+0.057858
## [361] train-mlogloss:0.008746+0.000297 test-mlogloss:1.088749+0.058552
## [362] train-mlogloss:0.008694+0.000291 test-mlogloss:1.090042+0.058735
## [363] train-mlogloss:0.008636+0.000290 test-mlogloss:1.090938+0.058681
## [364] train-mlogloss:0.008594+0.000292 test-mlogloss:1.091494+0.058627
## [365] train-mlogloss:0.008546+0.000298 test-mlogloss:1.091886+0.058782
## [366] train-mlogloss:0.008505+0.000297 test-mlogloss:1.092781+0.059146
## [367] train-mlogloss:0.008466+0.000286 test-mlogloss:1.093246+0.058646
## [368] train-mlogloss:0.008424+0.000293 test-mlogloss:1.094033+0.058456
## [369] train-mlogloss:0.008378+0.000297 test-mlogloss:1.094192+0.058319
## [370] train-mlogloss:0.008331+0.000302 test-mlogloss:1.094743+0.058621
## [371] train-mlogloss:0.008287+0.000292 test-mlogloss:1.095901+0.059548
## [372] train-mlogloss:0.008243+0.000289 test-mlogloss:1.097242+0.059530
## [373] train-mlogloss:0.008199+0.000280 test-mlogloss:1.098336+0.059211
## [374] train-mlogloss:0.008155+0.000286 test-mlogloss:1.098713+0.058472
## [375] train-mlogloss:0.008106+0.000285 test-mlogloss:1.099372+0.058476
## [376] train-mlogloss:0.008069+0.000290 test-mlogloss:1.099912+0.059450
## [377] train-mlogloss:0.008029+0.000285 test-mlogloss:1.100126+0.059710
## [378] train-mlogloss:0.007993+0.000281 test-mlogloss:1.101104+0.059395
## [379] train-mlogloss:0.007953+0.000286 test-mlogloss:1.100997+0.059207
## [380] train-mlogloss:0.007916+0.000284 test-mlogloss:1.102430+0.058560
## [381] train-mlogloss:0.007878+0.000278 test-mlogloss:1.102683+0.057548
## [382] train-mlogloss:0.007839+0.000283 test-mlogloss:1.103709+0.057293
## [383] train-mlogloss:0.007798+0.000294 test-mlogloss:1.104597+0.057461
## [384] train-mlogloss:0.007763+0.000296 test-mlogloss:1.105395+0.058054
## [385] train-mlogloss:0.007734+0.000292 test-mlogloss:1.106228+0.058624
## [386] train-mlogloss:0.007687+0.000296 test-mlogloss:1.107205+0.058344
## [387] train-mlogloss:0.007650+0.000299 test-mlogloss:1.108264+0.058714
## [388] train-mlogloss:0.007606+0.000300 test-mlogloss:1.108598+0.058246
## [389] train-mlogloss:0.007569+0.000299 test-mlogloss:1.109731+0.058439
## [390] train-mlogloss:0.007537+0.000292 test-mlogloss:1.110180+0.058254
## [391] train-mlogloss:0.007496+0.000296 test-mlogloss:1.111955+0.058676
## [392] train-mlogloss:0.007457+0.000290 test-mlogloss:1.112310+0.058419
## [393] train-mlogloss:0.007424+0.000291 test-mlogloss:1.112701+0.058764
## [394] train-mlogloss:0.007387+0.000281 test-mlogloss:1.114103+0.059671
## [395] train-mlogloss:0.007349+0.000281 test-mlogloss:1.114571+0.059927
## [396] train-mlogloss:0.007314+0.000271 test-mlogloss:1.114960+0.059391
## [397] train-mlogloss:0.007278+0.000273 test-mlogloss:1.115456+0.059880
## [398] train-mlogloss:0.007242+0.000262 test-mlogloss:1.116395+0.059865
## [399] train-mlogloss:0.007210+0.000272 test-mlogloss:1.117241+0.060107
## [400] train-mlogloss:0.007171+0.000271 test-mlogloss:1.117621+0.059459
## [401] train-mlogloss:0.007138+0.000263 test-mlogloss:1.117988+0.060209
## [402] train-mlogloss:0.007102+0.000266 test-mlogloss:1.119195+0.060031
## [403] train-mlogloss:0.007074+0.000259 test-mlogloss:1.119931+0.059781
## [404] train-mlogloss:0.007044+0.000257 test-mlogloss:1.120632+0.060190
## [405] train-mlogloss:0.007010+0.000260 test-mlogloss:1.121802+0.060769
## [406] train-mlogloss:0.006976+0.000254 test-mlogloss:1.123331+0.060826
## [407] train-mlogloss:0.006946+0.000246 test-mlogloss:1.123861+0.060311
## [408] train-mlogloss:0.006907+0.000242 test-mlogloss:1.124427+0.060621
## [409] train-mlogloss:0.006874+0.000243 test-mlogloss:1.125027+0.060682
## [410] train-mlogloss:0.006836+0.000245 test-mlogloss:1.126537+0.060914
## [411] train-mlogloss:0.006801+0.000242 test-mlogloss:1.126847+0.060377
## [412] train-mlogloss:0.006767+0.000239 test-mlogloss:1.128118+0.061186
## [413] train-mlogloss:0.006737+0.000247 test-mlogloss:1.129078+0.061904
## [414] train-mlogloss:0.006706+0.000241 test-mlogloss:1.129923+0.062298
## [415] train-mlogloss:0.006681+0.000241 test-mlogloss:1.130273+0.061632
## [416] train-mlogloss:0.006654+0.000241 test-mlogloss:1.130632+0.060876
## [417] train-mlogloss:0.006620+0.000241 test-mlogloss:1.132506+0.062014
## [418] train-mlogloss:0.006592+0.000238 test-mlogloss:1.133483+0.062223
## [419] train-mlogloss:0.006551+0.000245 test-mlogloss:1.135019+0.062992
## [420] train-mlogloss:0.006513+0.000243 test-mlogloss:1.136224+0.063486
## [421] train-mlogloss:0.006481+0.000235 test-mlogloss:1.137031+0.062769
## [422] train-mlogloss:0.006451+0.000225 test-mlogloss:1.137539+0.063416
## [423] train-mlogloss:0.006423+0.000226 test-mlogloss:1.138095+0.062942
## [424] train-mlogloss:0.006392+0.000221 test-mlogloss:1.138390+0.063314
## [425] train-mlogloss:0.006364+0.000222 test-mlogloss:1.139656+0.063799
## [426] train-mlogloss:0.006333+0.000227 test-mlogloss:1.139645+0.063686
## [427] train-mlogloss:0.006307+0.000224 test-mlogloss:1.140220+0.063876
## [428] train-mlogloss:0.006278+0.000222 test-mlogloss:1.140783+0.063889
## [429] train-mlogloss:0.006250+0.000221 test-mlogloss:1.141171+0.063426
## [430] train-mlogloss:0.006218+0.000221 test-mlogloss:1.141534+0.063450
## [431] train-mlogloss:0.006188+0.000215 test-mlogloss:1.142913+0.063397
## [432] train-mlogloss:0.006156+0.000212 test-mlogloss:1.143703+0.063878
## [433] train-mlogloss:0.006131+0.000211 test-mlogloss:1.144479+0.063715
## [434] train-mlogloss:0.006104+0.000207 test-mlogloss:1.145904+0.063872
## [435] train-mlogloss:0.006081+0.000209 test-mlogloss:1.146587+0.063723
## [436] train-mlogloss:0.006060+0.000208 test-mlogloss:1.146724+0.064496
## [437] train-mlogloss:0.006033+0.000205 test-mlogloss:1.147356+0.064088
## [438] train-mlogloss:0.006011+0.000202 test-mlogloss:1.148063+0.064203
## [439] train-mlogloss:0.005989+0.000203 test-mlogloss:1.148482+0.064160
## [440] train-mlogloss:0.005963+0.000203 test-mlogloss:1.149623+0.064666
## [441] train-mlogloss:0.005942+0.000199 test-mlogloss:1.150011+0.065182
## [442] train-mlogloss:0.005922+0.000201 test-mlogloss:1.151021+0.065153
## [443] train-mlogloss:0.005888+0.000198 test-mlogloss:1.151166+0.064532
## [444] train-mlogloss:0.005862+0.000195 test-mlogloss:1.152135+0.064099
## [445] train-mlogloss:0.005839+0.000189 test-mlogloss:1.152286+0.064105
## [446] train-mlogloss:0.005817+0.000182 test-mlogloss:1.152590+0.063709
## [447] train-mlogloss:0.005796+0.000182 test-mlogloss:1.153113+0.063894
## [448] train-mlogloss:0.005771+0.000181 test-mlogloss:1.153761+0.063928
## [449] train-mlogloss:0.005749+0.000175 test-mlogloss:1.153770+0.063789
## [450] train-mlogloss:0.005728+0.000178 test-mlogloss:1.154300+0.063606
## [451] train-mlogloss:0.005706+0.000176 test-mlogloss:1.154922+0.063374
## [452] train-mlogloss:0.005683+0.000176 test-mlogloss:1.156335+0.063260
## [453] train-mlogloss:0.005654+0.000172 test-mlogloss:1.157153+0.062870
## [454] train-mlogloss:0.005628+0.000174 test-mlogloss:1.157454+0.063399
## [455] train-mlogloss:0.005607+0.000174 test-mlogloss:1.158722+0.063635
## [456] train-mlogloss:0.005585+0.000173 test-mlogloss:1.159304+0.063445
## [457] train-mlogloss:0.005564+0.000176 test-mlogloss:1.159740+0.063278
## [458] train-mlogloss:0.005542+0.000174 test-mlogloss:1.160927+0.063759
## [459] train-mlogloss:0.005515+0.000172 test-mlogloss:1.161850+0.063616
## [460] train-mlogloss:0.005491+0.000171 test-mlogloss:1.162858+0.063555
## [461] train-mlogloss:0.005473+0.000162 test-mlogloss:1.164057+0.063481
## [462] train-mlogloss:0.005455+0.000164 test-mlogloss:1.164251+0.063634
## [463] train-mlogloss:0.005434+0.000165 test-mlogloss:1.164224+0.062933
## [464] train-mlogloss:0.005412+0.000164 test-mlogloss:1.165184+0.062840
## [465] train-mlogloss:0.005390+0.000163 test-mlogloss:1.165463+0.062572
## [466] train-mlogloss:0.005368+0.000162 test-mlogloss:1.166240+0.062930
## [467] train-mlogloss:0.005345+0.000164 test-mlogloss:1.166526+0.063477
## [468] train-mlogloss:0.005324+0.000162 test-mlogloss:1.168062+0.062921
## [469] train-mlogloss:0.005303+0.000161 test-mlogloss:1.168710+0.062977
## [470] train-mlogloss:0.005287+0.000159 test-mlogloss:1.169105+0.063336
## [471] train-mlogloss:0.005270+0.000160 test-mlogloss:1.169975+0.063286
## [472] train-mlogloss:0.005253+0.000161 test-mlogloss:1.170169+0.063186
## [473] train-mlogloss:0.005232+0.000157 test-mlogloss:1.170270+0.063133
## [474] train-mlogloss:0.005213+0.000158 test-mlogloss:1.171464+0.063474
## [475] train-mlogloss:0.005193+0.000157 test-mlogloss:1.172593+0.063458
## [476] train-mlogloss:0.005171+0.000157 test-mlogloss:1.173405+0.063239
## [477] train-mlogloss:0.005151+0.000158 test-mlogloss:1.174409+0.063376
## [478] train-mlogloss:0.005133+0.000155 test-mlogloss:1.174717+0.063619
## [479] train-mlogloss:0.005115+0.000153 test-mlogloss:1.174994+0.063545
## [480] train-mlogloss:0.005100+0.000156 test-mlogloss:1.175219+0.063551
## [481] train-mlogloss:0.005078+0.000152 test-mlogloss:1.175457+0.063434
## [482] train-mlogloss:0.005057+0.000149 test-mlogloss:1.176398+0.063449
## [483] train-mlogloss:0.005038+0.000150 test-mlogloss:1.177059+0.063462
## [484] train-mlogloss:0.005023+0.000152 test-mlogloss:1.178268+0.063667
## [485] train-mlogloss:0.005005+0.000152 test-mlogloss:1.178575+0.063277
## [486] train-mlogloss:0.004987+0.000146 test-mlogloss:1.179625+0.063023
## [487] train-mlogloss:0.004968+0.000146 test-mlogloss:1.180698+0.063336
## [488] train-mlogloss:0.004952+0.000144 test-mlogloss:1.180720+0.063098
## [489] train-mlogloss:0.004934+0.000144 test-mlogloss:1.181287+0.063660
## [490] train-mlogloss:0.004916+0.000144 test-mlogloss:1.181503+0.063799
## [491] train-mlogloss:0.004899+0.000140 test-mlogloss:1.181998+0.064230
## [492] train-mlogloss:0.004881+0.000140 test-mlogloss:1.183112+0.064235
## [493] train-mlogloss:0.004859+0.000139 test-mlogloss:1.183794+0.064802
## [494] train-mlogloss:0.004841+0.000137 test-mlogloss:1.184321+0.064012
## [495] train-mlogloss:0.004824+0.000138 test-mlogloss:1.184436+0.063859
## [496] train-mlogloss:0.004809+0.000132 test-mlogloss:1.185250+0.063324
## [497] train-mlogloss:0.004790+0.000128 test-mlogloss:1.185674+0.063864
## [498] train-mlogloss:0.004776+0.000126 test-mlogloss:1.186443+0.063206
## [499] train-mlogloss:0.004757+0.000120 test-mlogloss:1.187050+0.063117
## [500] train-mlogloss:0.004743+0.000118 test-mlogloss:1.188117+0.064209
## [1] train-mlogloss:0.364372+0.006186 test-mlogloss:0.603075+0.002904
## [2] train-mlogloss:0.236090+0.004954 test-mlogloss:0.612462+0.006888
## [3] train-mlogloss:0.166482+0.003960 test-mlogloss:0.630841+0.009064
## [4] train-mlogloss:0.126413+0.003827 test-mlogloss:0.645155+0.013658
## [5] train-mlogloss:0.103323+0.002727 test-mlogloss:0.658541+0.016090
## [6] train-mlogloss:0.088193+0.003964 test-mlogloss:0.672654+0.017155
## [7] train-mlogloss:0.075074+0.004093 test-mlogloss:0.683398+0.016084
## [8] train-mlogloss:0.064387+0.002766 test-mlogloss:0.697185+0.016844
## [9] train-mlogloss:0.057023+0.002509 test-mlogloss:0.704164+0.016549
## [10] train-mlogloss:0.050186+0.002091 test-mlogloss:0.713414+0.017184
## [11] train-mlogloss:0.044733+0.002279 test-mlogloss:0.720893+0.018311
## [12] train-mlogloss:0.039923+0.002027 test-mlogloss:0.728968+0.017615
## [13] train-mlogloss:0.035817+0.001595 test-mlogloss:0.738196+0.018707
## [14] train-mlogloss:0.032626+0.001508 test-mlogloss:0.747820+0.017870
## [15] train-mlogloss:0.029997+0.001327 test-mlogloss:0.757121+0.018018
## [16] train-mlogloss:0.027744+0.001148 test-mlogloss:0.764008+0.017119
## [17] train-mlogloss:0.025792+0.000901 test-mlogloss:0.769763+0.016688
## [18] train-mlogloss:0.024042+0.000841 test-mlogloss:0.775448+0.017786
## [19] train-mlogloss:0.022524+0.000718 test-mlogloss:0.780968+0.020037
## [20] train-mlogloss:0.021198+0.000618 test-mlogloss:0.786330+0.020958
## [21] train-mlogloss:0.020079+0.000605 test-mlogloss:0.790423+0.021121
## [22] train-mlogloss:0.019051+0.000550 test-mlogloss:0.795783+0.020773
## [23] train-mlogloss:0.018163+0.000568 test-mlogloss:0.799081+0.021555
## [24] train-mlogloss:0.017301+0.000503 test-mlogloss:0.804880+0.021756
## [25] train-mlogloss:0.016607+0.000466 test-mlogloss:0.808873+0.021926
## [26] train-mlogloss:0.015921+0.000429 test-mlogloss:0.813392+0.021474
## [27] train-mlogloss:0.015260+0.000377 test-mlogloss:0.816768+0.020570
## [28] train-mlogloss:0.014668+0.000385 test-mlogloss:0.820140+0.021020
## [29] train-mlogloss:0.014122+0.000355 test-mlogloss:0.823386+0.020991
## [30] train-mlogloss:0.013633+0.000341 test-mlogloss:0.827879+0.021626
## [31] train-mlogloss:0.013190+0.000320 test-mlogloss:0.831401+0.022158
## [32] train-mlogloss:0.012760+0.000305 test-mlogloss:0.835170+0.020663
## [33] train-mlogloss:0.012373+0.000285 test-mlogloss:0.838615+0.019522
## [34] train-mlogloss:0.012018+0.000260 test-mlogloss:0.841730+0.019577
## [35] train-mlogloss:0.011673+0.000261 test-mlogloss:0.845934+0.019519
## [36] train-mlogloss:0.011348+0.000240 test-mlogloss:0.849382+0.020920
## [37] train-mlogloss:0.011051+0.000227 test-mlogloss:0.852237+0.021072
## [38] train-mlogloss:0.010767+0.000209 test-mlogloss:0.856331+0.020363
## [39] train-mlogloss:0.010496+0.000194 test-mlogloss:0.859257+0.021068
## [40] train-mlogloss:0.010228+0.000177 test-mlogloss:0.862597+0.021636
## [41] train-mlogloss:0.010003+0.000173 test-mlogloss:0.866832+0.021189
## [42] train-mlogloss:0.009772+0.000173 test-mlogloss:0.869900+0.020894
## [43] train-mlogloss:0.009545+0.000160 test-mlogloss:0.872720+0.021366
## [44] train-mlogloss:0.009351+0.000138 test-mlogloss:0.874192+0.020726
## [45] train-mlogloss:0.009146+0.000135 test-mlogloss:0.876803+0.020740
## [46] train-mlogloss:0.008964+0.000134 test-mlogloss:0.878669+0.021691
## [47] train-mlogloss:0.008785+0.000129 test-mlogloss:0.881313+0.021850
## [48] train-mlogloss:0.008606+0.000122 test-mlogloss:0.883211+0.020349
## [49] train-mlogloss:0.008446+0.000120 test-mlogloss:0.884775+0.021031
## [50] train-mlogloss:0.008300+0.000119 test-mlogloss:0.886705+0.021032
## [51] train-mlogloss:0.008150+0.000116 test-mlogloss:0.889295+0.021119
## [52] train-mlogloss:0.008011+0.000107 test-mlogloss:0.892407+0.020624
## [53] train-mlogloss:0.007874+0.000099 test-mlogloss:0.894316+0.020266
## [54] train-mlogloss:0.007743+0.000088 test-mlogloss:0.896193+0.020726
## [55] train-mlogloss:0.007616+0.000086 test-mlogloss:0.898452+0.020455
## [56] train-mlogloss:0.007496+0.000083 test-mlogloss:0.901138+0.021373
## [57] train-mlogloss:0.007376+0.000084 test-mlogloss:0.903931+0.021386
## [58] train-mlogloss:0.007257+0.000082 test-mlogloss:0.906433+0.020752
## [59] train-mlogloss:0.007153+0.000082 test-mlogloss:0.908057+0.021502
## [60] train-mlogloss:0.007044+0.000079 test-mlogloss:0.909795+0.021763
## [61] train-mlogloss:0.006941+0.000073 test-mlogloss:0.911469+0.022458
## [62] train-mlogloss:0.006850+0.000074 test-mlogloss:0.913966+0.022147
## [63] train-mlogloss:0.006755+0.000067 test-mlogloss:0.916057+0.022625
## [64] train-mlogloss:0.006659+0.000065 test-mlogloss:0.918884+0.022362
## [65] train-mlogloss:0.006569+0.000065 test-mlogloss:0.920945+0.022992
## [66] train-mlogloss:0.006480+0.000062 test-mlogloss:0.922306+0.022784
## [67] train-mlogloss:0.006396+0.000058 test-mlogloss:0.924112+0.023260
## [68] train-mlogloss:0.006320+0.000062 test-mlogloss:0.926553+0.023604
## [69] train-mlogloss:0.006239+0.000059 test-mlogloss:0.928940+0.023212
## [70] train-mlogloss:0.006167+0.000057 test-mlogloss:0.930384+0.023022
## [71] train-mlogloss:0.006094+0.000059 test-mlogloss:0.931536+0.022430
## [72] train-mlogloss:0.006019+0.000060 test-mlogloss:0.933729+0.022495
## [73] train-mlogloss:0.005956+0.000056 test-mlogloss:0.935417+0.022005
## [74] train-mlogloss:0.005889+0.000055 test-mlogloss:0.936913+0.022780
## [75] train-mlogloss:0.005819+0.000054 test-mlogloss:0.937717+0.022849
## [76] train-mlogloss:0.005752+0.000055 test-mlogloss:0.939090+0.023056
## [77] train-mlogloss:0.005693+0.000055 test-mlogloss:0.942010+0.022785
## [78] train-mlogloss:0.005636+0.000056 test-mlogloss:0.943555+0.022980
## [79] train-mlogloss:0.005575+0.000055 test-mlogloss:0.944697+0.023398
## [80] train-mlogloss:0.005517+0.000059 test-mlogloss:0.946080+0.022981
## [81] train-mlogloss:0.005456+0.000057 test-mlogloss:0.947525+0.023629
## [82] train-mlogloss:0.005400+0.000055 test-mlogloss:0.948158+0.023637
## [83] train-mlogloss:0.005352+0.000057 test-mlogloss:0.948990+0.024062
## [84] train-mlogloss:0.005300+0.000055 test-mlogloss:0.951162+0.024645
## [85] train-mlogloss:0.005247+0.000053 test-mlogloss:0.952554+0.024756
## [86] train-mlogloss:0.005198+0.000052 test-mlogloss:0.954151+0.024558
## [87] train-mlogloss:0.005149+0.000050 test-mlogloss:0.955484+0.025275
## [88] train-mlogloss:0.005101+0.000046 test-mlogloss:0.956452+0.025700
## [89] train-mlogloss:0.005055+0.000048 test-mlogloss:0.957933+0.025118
## [90] train-mlogloss:0.005011+0.000047 test-mlogloss:0.959165+0.025904
## [91] train-mlogloss:0.004967+0.000047 test-mlogloss:0.960479+0.025634
## [92] train-mlogloss:0.004922+0.000047 test-mlogloss:0.961872+0.025977
## [93] train-mlogloss:0.004882+0.000048 test-mlogloss:0.963379+0.024788
## [94] train-mlogloss:0.004843+0.000048 test-mlogloss:0.964824+0.024521
## [95] train-mlogloss:0.004802+0.000050 test-mlogloss:0.965318+0.024725
## [96] train-mlogloss:0.004762+0.000049 test-mlogloss:0.966004+0.024674
## [97] train-mlogloss:0.004724+0.000047 test-mlogloss:0.967190+0.024966
## [98] train-mlogloss:0.004687+0.000048 test-mlogloss:0.967972+0.024633
## [99] train-mlogloss:0.004651+0.000045 test-mlogloss:0.968777+0.024589
## [100] train-mlogloss:0.004614+0.000046 test-mlogloss:0.970361+0.023987
## [101] train-mlogloss:0.004576+0.000047 test-mlogloss:0.970844+0.024348
## [102] train-mlogloss:0.004541+0.000046 test-mlogloss:0.971866+0.024931
## [103] train-mlogloss:0.004509+0.000044 test-mlogloss:0.973091+0.024816
## [104] train-mlogloss:0.004475+0.000042 test-mlogloss:0.973836+0.025066
## [105] train-mlogloss:0.004441+0.000041 test-mlogloss:0.975088+0.024301
## [106] train-mlogloss:0.004407+0.000040 test-mlogloss:0.976552+0.024115
## [107] train-mlogloss:0.004376+0.000039 test-mlogloss:0.977578+0.024619
## [108] train-mlogloss:0.004343+0.000039 test-mlogloss:0.978732+0.024935
## [109] train-mlogloss:0.004312+0.000039 test-mlogloss:0.979621+0.024873
## [110] train-mlogloss:0.004283+0.000039 test-mlogloss:0.980005+0.024438
## [111] train-mlogloss:0.004258+0.000040 test-mlogloss:0.981699+0.025477
## [112] train-mlogloss:0.004227+0.000040 test-mlogloss:0.982359+0.025328
## [113] train-mlogloss:0.004199+0.000044 test-mlogloss:0.984002+0.025644
## [114] train-mlogloss:0.004172+0.000044 test-mlogloss:0.984550+0.025166
## [115] train-mlogloss:0.004147+0.000044 test-mlogloss:0.984889+0.025693
## [116] train-mlogloss:0.004119+0.000043 test-mlogloss:0.985339+0.026380
## [117] train-mlogloss:0.004092+0.000040 test-mlogloss:0.986686+0.026483
## [118] train-mlogloss:0.004066+0.000039 test-mlogloss:0.986403+0.027137
## [119] train-mlogloss:0.004040+0.000038 test-mlogloss:0.988197+0.026932
## [120] train-mlogloss:0.004016+0.000039 test-mlogloss:0.989098+0.027421
## [121] train-mlogloss:0.003991+0.000040 test-mlogloss:0.989406+0.027471
## [122] train-mlogloss:0.003968+0.000038 test-mlogloss:0.990426+0.027753
## [123] train-mlogloss:0.003945+0.000037 test-mlogloss:0.991237+0.027939
## [124] train-mlogloss:0.003922+0.000036 test-mlogloss:0.991831+0.027625
## [125] train-mlogloss:0.003898+0.000034 test-mlogloss:0.993466+0.027435
## [126] train-mlogloss:0.003873+0.000033 test-mlogloss:0.994959+0.027294
## [127] train-mlogloss:0.003850+0.000032 test-mlogloss:0.995356+0.027222
## [128] train-mlogloss:0.003826+0.000031 test-mlogloss:0.996815+0.027158
## [129] train-mlogloss:0.003803+0.000032 test-mlogloss:0.997572+0.027098
## [130] train-mlogloss:0.003780+0.000032 test-mlogloss:0.998821+0.027092
## [131] train-mlogloss:0.003759+0.000032 test-mlogloss:0.999869+0.027070
## [132] train-mlogloss:0.003738+0.000032 test-mlogloss:1.000496+0.026479
## [133] train-mlogloss:0.003718+0.000031 test-mlogloss:1.001462+0.026549
## [134] train-mlogloss:0.003697+0.000031 test-mlogloss:1.002556+0.026389
## [135] train-mlogloss:0.003677+0.000032 test-mlogloss:1.003747+0.026877
## [136] train-mlogloss:0.003656+0.000032 test-mlogloss:1.004444+0.026470
## [137] train-mlogloss:0.003635+0.000031 test-mlogloss:1.004298+0.026919
## [138] train-mlogloss:0.003615+0.000031 test-mlogloss:1.005483+0.026879
## [139] train-mlogloss:0.003596+0.000032 test-mlogloss:1.006193+0.026586
## [140] train-mlogloss:0.003577+0.000030 test-mlogloss:1.007211+0.026936
## [141] train-mlogloss:0.003559+0.000028 test-mlogloss:1.008183+0.027581
## [142] train-mlogloss:0.003538+0.000029 test-mlogloss:1.008885+0.027239
## [143] train-mlogloss:0.003519+0.000028 test-mlogloss:1.010346+0.026888
## [144] train-mlogloss:0.003501+0.000028 test-mlogloss:1.010655+0.026539
## [145] train-mlogloss:0.003484+0.000029 test-mlogloss:1.011978+0.026003
## [146] train-mlogloss:0.003467+0.000028 test-mlogloss:1.012620+0.026372
## [147] train-mlogloss:0.003449+0.000027 test-mlogloss:1.013356+0.025736
## [148] train-mlogloss:0.003433+0.000026 test-mlogloss:1.013953+0.026248
## [149] train-mlogloss:0.003418+0.000026 test-mlogloss:1.014668+0.026800
## [150] train-mlogloss:0.003402+0.000026 test-mlogloss:1.015720+0.026593
## [151] train-mlogloss:0.003385+0.000024 test-mlogloss:1.016459+0.026433
## [152] train-mlogloss:0.003369+0.000024 test-mlogloss:1.017419+0.026113
## [153] train-mlogloss:0.003354+0.000024 test-mlogloss:1.017865+0.025949
## [154] train-mlogloss:0.003338+0.000022 test-mlogloss:1.018593+0.026151
## [155] train-mlogloss:0.003323+0.000023 test-mlogloss:1.019338+0.026119
## [156] train-mlogloss:0.003309+0.000021 test-mlogloss:1.019575+0.026030
## [157] train-mlogloss:0.003294+0.000022 test-mlogloss:1.020340+0.026065
## [158] train-mlogloss:0.003279+0.000022 test-mlogloss:1.021630+0.026010
## [159] train-mlogloss:0.003264+0.000022 test-mlogloss:1.022736+0.026009
## [160] train-mlogloss:0.003250+0.000022 test-mlogloss:1.023294+0.025877
## [161] train-mlogloss:0.003236+0.000021 test-mlogloss:1.023365+0.026459
## [162] train-mlogloss:0.003221+0.000022 test-mlogloss:1.024139+0.026164
## [163] train-mlogloss:0.003207+0.000023 test-mlogloss:1.024366+0.025883
## [164] train-mlogloss:0.003192+0.000023 test-mlogloss:1.025578+0.025847
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## [166] train-mlogloss:0.003165+0.000023 test-mlogloss:1.027235+0.026002
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## [168] train-mlogloss:0.003138+0.000021 test-mlogloss:1.028551+0.025713
## [169] train-mlogloss:0.003126+0.000021 test-mlogloss:1.028832+0.026227
## [170] train-mlogloss:0.003114+0.000021 test-mlogloss:1.029036+0.025967
## [171] train-mlogloss:0.003101+0.000022 test-mlogloss:1.029038+0.025866
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## [173] train-mlogloss:0.003074+0.000022 test-mlogloss:1.030138+0.026667
## [174] train-mlogloss:0.003062+0.000023 test-mlogloss:1.030557+0.026741
## [175] train-mlogloss:0.003050+0.000024 test-mlogloss:1.031340+0.027075
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## [177] train-mlogloss:0.003025+0.000023 test-mlogloss:1.032530+0.027584
## [178] train-mlogloss:0.003013+0.000022 test-mlogloss:1.033396+0.027650
## [179] train-mlogloss:0.003001+0.000023 test-mlogloss:1.034688+0.027966
## [180] train-mlogloss:0.002989+0.000024 test-mlogloss:1.035316+0.028355
## [181] train-mlogloss:0.002978+0.000023 test-mlogloss:1.036293+0.028413
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## [186] train-mlogloss:0.002924+0.000022 test-mlogloss:1.038756+0.027519
## [187] train-mlogloss:0.002912+0.000021 test-mlogloss:1.039777+0.027457
## [188] train-mlogloss:0.002902+0.000021 test-mlogloss:1.040269+0.027815
## [189] train-mlogloss:0.002891+0.000022 test-mlogloss:1.039781+0.027428
## [190] train-mlogloss:0.002881+0.000021 test-mlogloss:1.040244+0.027811
## [191] train-mlogloss:0.002869+0.000022 test-mlogloss:1.041148+0.028220
## [192] train-mlogloss:0.002860+0.000021 test-mlogloss:1.041686+0.028423
## [193] train-mlogloss:0.002849+0.000021 test-mlogloss:1.042866+0.028554
## [194] train-mlogloss:0.002839+0.000020 test-mlogloss:1.042920+0.028339
## [195] train-mlogloss:0.002830+0.000020 test-mlogloss:1.043278+0.027901
## [196] train-mlogloss:0.002821+0.000020 test-mlogloss:1.043721+0.027496
## [197] train-mlogloss:0.002810+0.000019 test-mlogloss:1.044571+0.027819
## [198] train-mlogloss:0.002801+0.000019 test-mlogloss:1.045127+0.028076
## [199] train-mlogloss:0.002790+0.000020 test-mlogloss:1.045200+0.028200
## [200] train-mlogloss:0.002780+0.000019 test-mlogloss:1.045958+0.028265
## [201] train-mlogloss:0.002771+0.000020 test-mlogloss:1.046452+0.027709
## [202] train-mlogloss:0.002762+0.000019 test-mlogloss:1.047406+0.028329
## [203] train-mlogloss:0.002752+0.000020 test-mlogloss:1.048646+0.027664
## [204] train-mlogloss:0.002744+0.000020 test-mlogloss:1.049063+0.027480
## [205] train-mlogloss:0.002735+0.000020 test-mlogloss:1.049587+0.027624
## [206] train-mlogloss:0.002727+0.000020 test-mlogloss:1.050342+0.027592
## [207] train-mlogloss:0.002718+0.000019 test-mlogloss:1.050944+0.027192
## [208] train-mlogloss:0.002708+0.000020 test-mlogloss:1.051586+0.027777
## [209] train-mlogloss:0.002699+0.000020 test-mlogloss:1.051697+0.027641
## [210] train-mlogloss:0.002691+0.000019 test-mlogloss:1.052181+0.027635
## [211] train-mlogloss:0.002682+0.000019 test-mlogloss:1.052599+0.027973
## [212] train-mlogloss:0.002674+0.000019 test-mlogloss:1.053443+0.028005
## [213] train-mlogloss:0.002666+0.000019 test-mlogloss:1.053256+0.027885
## [214] train-mlogloss:0.002657+0.000019 test-mlogloss:1.054341+0.028293
## [215] train-mlogloss:0.002649+0.000019 test-mlogloss:1.054361+0.028392
## [216] train-mlogloss:0.002641+0.000019 test-mlogloss:1.055116+0.028226
## [217] train-mlogloss:0.002634+0.000019 test-mlogloss:1.055386+0.028618
## [218] train-mlogloss:0.002625+0.000018 test-mlogloss:1.055618+0.028215
## [219] train-mlogloss:0.002617+0.000017 test-mlogloss:1.055465+0.028409
## [220] train-mlogloss:0.002609+0.000017 test-mlogloss:1.056148+0.028790
## [221] train-mlogloss:0.002601+0.000017 test-mlogloss:1.056899+0.028222
## [222] train-mlogloss:0.002593+0.000018 test-mlogloss:1.057640+0.028560
## [223] train-mlogloss:0.002585+0.000017 test-mlogloss:1.057988+0.029171
## [224] train-mlogloss:0.002577+0.000017 test-mlogloss:1.058562+0.028813
## [225] train-mlogloss:0.002569+0.000016 test-mlogloss:1.059319+0.029003
## [226] train-mlogloss:0.002561+0.000016 test-mlogloss:1.060167+0.028714
## [227] train-mlogloss:0.002554+0.000015 test-mlogloss:1.060439+0.028572
## [228] train-mlogloss:0.002547+0.000014 test-mlogloss:1.060923+0.028673
## [229] train-mlogloss:0.002540+0.000014 test-mlogloss:1.061619+0.028677
## [230] train-mlogloss:0.002532+0.000014 test-mlogloss:1.061936+0.028082
## [231] train-mlogloss:0.002526+0.000013 test-mlogloss:1.062481+0.027944
## [232] train-mlogloss:0.002518+0.000014 test-mlogloss:1.062269+0.027920
## [233] train-mlogloss:0.002510+0.000014 test-mlogloss:1.062761+0.027776
## [234] train-mlogloss:0.002504+0.000014 test-mlogloss:1.063152+0.028031
## [235] train-mlogloss:0.002496+0.000014 test-mlogloss:1.063845+0.028000
## [236] train-mlogloss:0.002489+0.000014 test-mlogloss:1.064312+0.028218
## [237] train-mlogloss:0.002483+0.000013 test-mlogloss:1.064837+0.028594
## [238] train-mlogloss:0.002477+0.000013 test-mlogloss:1.065284+0.028420
## [239] train-mlogloss:0.002470+0.000013 test-mlogloss:1.065783+0.028598
## [240] train-mlogloss:0.002464+0.000014 test-mlogloss:1.067162+0.028577
## [241] train-mlogloss:0.002456+0.000013 test-mlogloss:1.067374+0.028008
## [242] train-mlogloss:0.002449+0.000013 test-mlogloss:1.067944+0.028138
## [243] train-mlogloss:0.002444+0.000013 test-mlogloss:1.067688+0.027790
## [244] train-mlogloss:0.002438+0.000013 test-mlogloss:1.067520+0.028199
## [245] train-mlogloss:0.002431+0.000013 test-mlogloss:1.068183+0.028436
## [246] train-mlogloss:0.002424+0.000013 test-mlogloss:1.068727+0.028785
## [247] train-mlogloss:0.002418+0.000013 test-mlogloss:1.069465+0.029012
## [248] train-mlogloss:0.002411+0.000013 test-mlogloss:1.069999+0.028809
## [249] train-mlogloss:0.002404+0.000013 test-mlogloss:1.070032+0.029046
## [250] train-mlogloss:0.002399+0.000014 test-mlogloss:1.070483+0.028809
## [251] train-mlogloss:0.002392+0.000014 test-mlogloss:1.070630+0.028557
## [252] train-mlogloss:0.002387+0.000013 test-mlogloss:1.071696+0.028497
## [253] train-mlogloss:0.002380+0.000013 test-mlogloss:1.071933+0.028023
## [254] train-mlogloss:0.002374+0.000013 test-mlogloss:1.072190+0.027669
## [255] train-mlogloss:0.002368+0.000013 test-mlogloss:1.073085+0.028023
## [256] train-mlogloss:0.002362+0.000013 test-mlogloss:1.073658+0.027801
## [257] train-mlogloss:0.002355+0.000013 test-mlogloss:1.073656+0.027401
## [258] train-mlogloss:0.002349+0.000013 test-mlogloss:1.073897+0.027694
## [259] train-mlogloss:0.002343+0.000013 test-mlogloss:1.074382+0.027083
## [260] train-mlogloss:0.002338+0.000013 test-mlogloss:1.074976+0.027343
## [261] train-mlogloss:0.002332+0.000014 test-mlogloss:1.075485+0.027183
## [262] train-mlogloss:0.002326+0.000013 test-mlogloss:1.076066+0.027568
## [263] train-mlogloss:0.002320+0.000013 test-mlogloss:1.076311+0.027034
## [264] train-mlogloss:0.002315+0.000013 test-mlogloss:1.076794+0.027160
## [265] train-mlogloss:0.002310+0.000013 test-mlogloss:1.077217+0.027213
## [266] train-mlogloss:0.002304+0.000013 test-mlogloss:1.077880+0.027014
## [267] train-mlogloss:0.002298+0.000013 test-mlogloss:1.077243+0.027181
## [268] train-mlogloss:0.002293+0.000013 test-mlogloss:1.078007+0.027891
## [269] train-mlogloss:0.002287+0.000013 test-mlogloss:1.078233+0.027881
## [270] train-mlogloss:0.002282+0.000013 test-mlogloss:1.079090+0.028228
## [271] train-mlogloss:0.002277+0.000013 test-mlogloss:1.079381+0.027704
## [272] train-mlogloss:0.002271+0.000013 test-mlogloss:1.079930+0.028036
## [273] train-mlogloss:0.002266+0.000013 test-mlogloss:1.079822+0.027907
## [274] train-mlogloss:0.002260+0.000012 test-mlogloss:1.080261+0.027938
## [275] train-mlogloss:0.002255+0.000012 test-mlogloss:1.080624+0.027261
## [276] train-mlogloss:0.002250+0.000012 test-mlogloss:1.080169+0.027371
## [277] train-mlogloss:0.002245+0.000011 test-mlogloss:1.079979+0.027634
## [278] train-mlogloss:0.002240+0.000011 test-mlogloss:1.080822+0.028077
## [279] train-mlogloss:0.002235+0.000012 test-mlogloss:1.081036+0.028240
## [280] train-mlogloss:0.002230+0.000012 test-mlogloss:1.081658+0.028323
## [281] train-mlogloss:0.002225+0.000012 test-mlogloss:1.081726+0.028518
## [282] train-mlogloss:0.002219+0.000011 test-mlogloss:1.082131+0.028850
## [283] train-mlogloss:0.002215+0.000011 test-mlogloss:1.082265+0.029040
## [284] train-mlogloss:0.002211+0.000011 test-mlogloss:1.082603+0.028784
## [285] train-mlogloss:0.002206+0.000011 test-mlogloss:1.082379+0.029241
## [286] train-mlogloss:0.002201+0.000011 test-mlogloss:1.083136+0.028818
## [287] train-mlogloss:0.002196+0.000011 test-mlogloss:1.083128+0.029159
## [288] train-mlogloss:0.002192+0.000011 test-mlogloss:1.083137+0.028772
## [289] train-mlogloss:0.002187+0.000011 test-mlogloss:1.083647+0.027876
## [290] train-mlogloss:0.002182+0.000011 test-mlogloss:1.084351+0.027723
## [291] train-mlogloss:0.002177+0.000011 test-mlogloss:1.084688+0.027745
## [292] train-mlogloss:0.002172+0.000011 test-mlogloss:1.085517+0.028157
## [293] train-mlogloss:0.002168+0.000011 test-mlogloss:1.086308+0.028446
## [294] train-mlogloss:0.002163+0.000011 test-mlogloss:1.086623+0.028328
## [295] train-mlogloss:0.002159+0.000012 test-mlogloss:1.086910+0.027789
## [296] train-mlogloss:0.002154+0.000012 test-mlogloss:1.086785+0.028099
## [297] train-mlogloss:0.002150+0.000012 test-mlogloss:1.087142+0.028092
## [298] train-mlogloss:0.002146+0.000012 test-mlogloss:1.087651+0.028172
## [299] train-mlogloss:0.002140+0.000011 test-mlogloss:1.087807+0.028341
## [300] train-mlogloss:0.002136+0.000011 test-mlogloss:1.088570+0.028070
## [301] train-mlogloss:0.002131+0.000011 test-mlogloss:1.088502+0.028029
## [302] train-mlogloss:0.002127+0.000011 test-mlogloss:1.089015+0.027531
## [303] train-mlogloss:0.002123+0.000011 test-mlogloss:1.088868+0.027937
## [304] train-mlogloss:0.002118+0.000011 test-mlogloss:1.089809+0.028273
## [305] train-mlogloss:0.002113+0.000011 test-mlogloss:1.090182+0.027904
## [306] train-mlogloss:0.002109+0.000011 test-mlogloss:1.090415+0.027990
## [307] train-mlogloss:0.002105+0.000010 test-mlogloss:1.090793+0.028493
## [308] train-mlogloss:0.002101+0.000010 test-mlogloss:1.091143+0.028507
## [309] train-mlogloss:0.002096+0.000010 test-mlogloss:1.091618+0.029093
## [310] train-mlogloss:0.002092+0.000010 test-mlogloss:1.091655+0.028985
## [311] train-mlogloss:0.002088+0.000011 test-mlogloss:1.091688+0.028923
## [312] train-mlogloss:0.002083+0.000010 test-mlogloss:1.092167+0.028491
## [313] train-mlogloss:0.002079+0.000011 test-mlogloss:1.092175+0.028949
## [314] train-mlogloss:0.002075+0.000011 test-mlogloss:1.092555+0.029228
## [315] train-mlogloss:0.002070+0.000011 test-mlogloss:1.092772+0.028855
## [316] train-mlogloss:0.002066+0.000011 test-mlogloss:1.093445+0.028482
## [317] train-mlogloss:0.002062+0.000011 test-mlogloss:1.093646+0.028625
## [318] train-mlogloss:0.002058+0.000010 test-mlogloss:1.093891+0.029252
## [319] train-mlogloss:0.002054+0.000011 test-mlogloss:1.094255+0.029192
## [320] train-mlogloss:0.002050+0.000011 test-mlogloss:1.094389+0.029177
## [321] train-mlogloss:0.002046+0.000011 test-mlogloss:1.094647+0.029096
## [322] train-mlogloss:0.002042+0.000011 test-mlogloss:1.094979+0.029321
## [323] train-mlogloss:0.002038+0.000011 test-mlogloss:1.095224+0.029889
## [324] train-mlogloss:0.002034+0.000011 test-mlogloss:1.095392+0.030302
## [325] train-mlogloss:0.002030+0.000012 test-mlogloss:1.095894+0.030202
## [326] train-mlogloss:0.002026+0.000012 test-mlogloss:1.096590+0.030050
## [327] train-mlogloss:0.002022+0.000011 test-mlogloss:1.096927+0.029700
## [328] train-mlogloss:0.002018+0.000011 test-mlogloss:1.097299+0.030118
## [329] train-mlogloss:0.002014+0.000011 test-mlogloss:1.096965+0.029975
## [330] train-mlogloss:0.002011+0.000011 test-mlogloss:1.097472+0.030392
## [331] train-mlogloss:0.002007+0.000011 test-mlogloss:1.097631+0.030578
## [332] train-mlogloss:0.002004+0.000011 test-mlogloss:1.097865+0.030489
## [333] train-mlogloss:0.002000+0.000012 test-mlogloss:1.098193+0.029862
## [334] train-mlogloss:0.001996+0.000012 test-mlogloss:1.098324+0.029557
## [335] train-mlogloss:0.001992+0.000012 test-mlogloss:1.098890+0.029681
## [336] train-mlogloss:0.001988+0.000012 test-mlogloss:1.098976+0.029473
## [337] train-mlogloss:0.001985+0.000012 test-mlogloss:1.098926+0.029219
## [338] train-mlogloss:0.001982+0.000011 test-mlogloss:1.099462+0.029521
## [339] train-mlogloss:0.001978+0.000011 test-mlogloss:1.099395+0.030120
## [340] train-mlogloss:0.001974+0.000011 test-mlogloss:1.100025+0.030321
## [341] train-mlogloss:0.001971+0.000011 test-mlogloss:1.100210+0.030963
## [342] train-mlogloss:0.001967+0.000011 test-mlogloss:1.100020+0.030972
## [343] train-mlogloss:0.001963+0.000011 test-mlogloss:1.100406+0.029761
## [344] train-mlogloss:0.001960+0.000011 test-mlogloss:1.100622+0.029861
## [345] train-mlogloss:0.001957+0.000011 test-mlogloss:1.101165+0.029685
## [346] train-mlogloss:0.001953+0.000010 test-mlogloss:1.101642+0.030047
## [347] train-mlogloss:0.001950+0.000010 test-mlogloss:1.101822+0.030278
## [348] train-mlogloss:0.001946+0.000010 test-mlogloss:1.102444+0.030119
## [349] train-mlogloss:0.001943+0.000010 test-mlogloss:1.103045+0.029904
## [350] train-mlogloss:0.001939+0.000010 test-mlogloss:1.103096+0.029947
## [351] train-mlogloss:0.001936+0.000010 test-mlogloss:1.103749+0.030087
## [352] train-mlogloss:0.001932+0.000010 test-mlogloss:1.103872+0.029963
## [353] train-mlogloss:0.001929+0.000010 test-mlogloss:1.104176+0.029839
## [354] train-mlogloss:0.001925+0.000009 test-mlogloss:1.104686+0.029689
## [355] train-mlogloss:0.001922+0.000009 test-mlogloss:1.105140+0.029841
## [356] train-mlogloss:0.001919+0.000009 test-mlogloss:1.105336+0.030131
## [357] train-mlogloss:0.001916+0.000009 test-mlogloss:1.105794+0.030314
## [358] train-mlogloss:0.001912+0.000009 test-mlogloss:1.106245+0.030138
## [359] train-mlogloss:0.001909+0.000009 test-mlogloss:1.105967+0.029869
## [360] train-mlogloss:0.001906+0.000009 test-mlogloss:1.106021+0.030217
## [361] train-mlogloss:0.001903+0.000009 test-mlogloss:1.106486+0.030568
## [362] train-mlogloss:0.001900+0.000008 test-mlogloss:1.106632+0.030812
## [363] train-mlogloss:0.001897+0.000008 test-mlogloss:1.107312+0.030857
## [364] train-mlogloss:0.001894+0.000008 test-mlogloss:1.107776+0.030551
## [365] train-mlogloss:0.001890+0.000008 test-mlogloss:1.107691+0.030581
## [366] train-mlogloss:0.001887+0.000008 test-mlogloss:1.108255+0.030682
## [367] train-mlogloss:0.001885+0.000008 test-mlogloss:1.108647+0.030752
## [368] train-mlogloss:0.001882+0.000008 test-mlogloss:1.109167+0.030852
## [369] train-mlogloss:0.001879+0.000008 test-mlogloss:1.109700+0.030284
## [370] train-mlogloss:0.001876+0.000008 test-mlogloss:1.109595+0.030388
## [371] train-mlogloss:0.001872+0.000008 test-mlogloss:1.109657+0.030608
## [372] train-mlogloss:0.001869+0.000008 test-mlogloss:1.110249+0.030457
## [373] train-mlogloss:0.001866+0.000008 test-mlogloss:1.110015+0.030312
## [374] train-mlogloss:0.001863+0.000008 test-mlogloss:1.110459+0.029773
## [375] train-mlogloss:0.001860+0.000007 test-mlogloss:1.110610+0.029693
## [376] train-mlogloss:0.001857+0.000008 test-mlogloss:1.111167+0.029948
## [377] train-mlogloss:0.001854+0.000008 test-mlogloss:1.111155+0.030106
## [378] train-mlogloss:0.001851+0.000008 test-mlogloss:1.111035+0.030188
## [379] train-mlogloss:0.001848+0.000008 test-mlogloss:1.111199+0.030340
## [380] train-mlogloss:0.001845+0.000008 test-mlogloss:1.111604+0.030084
## [381] train-mlogloss:0.001842+0.000007 test-mlogloss:1.111801+0.030131
## [382] train-mlogloss:0.001840+0.000007 test-mlogloss:1.112095+0.029769
## [383] train-mlogloss:0.001837+0.000008 test-mlogloss:1.112532+0.029599
## [384] train-mlogloss:0.001833+0.000008 test-mlogloss:1.112881+0.029626
## [385] train-mlogloss:0.001831+0.000009 test-mlogloss:1.113098+0.030267
## [386] train-mlogloss:0.001828+0.000008 test-mlogloss:1.113428+0.030330
## [387] train-mlogloss:0.001825+0.000008 test-mlogloss:1.113561+0.030145
## [388] train-mlogloss:0.001822+0.000009 test-mlogloss:1.113651+0.030433
## [389] train-mlogloss:0.001819+0.000008 test-mlogloss:1.114263+0.030656
## [390] train-mlogloss:0.001816+0.000008 test-mlogloss:1.113964+0.030507
## [391] train-mlogloss:0.001814+0.000008 test-mlogloss:1.114997+0.030137
## [392] train-mlogloss:0.001811+0.000008 test-mlogloss:1.115145+0.030659
## [393] train-mlogloss:0.001808+0.000008 test-mlogloss:1.115215+0.030871
## [394] train-mlogloss:0.001805+0.000008 test-mlogloss:1.115937+0.030572
## [395] train-mlogloss:0.001802+0.000007 test-mlogloss:1.116115+0.030312
## [396] train-mlogloss:0.001800+0.000007 test-mlogloss:1.116785+0.030838
## [397] train-mlogloss:0.001797+0.000006 test-mlogloss:1.116416+0.030713
## [398] train-mlogloss:0.001794+0.000007 test-mlogloss:1.116591+0.031069
## [399] train-mlogloss:0.001791+0.000006 test-mlogloss:1.117239+0.030796
## [400] train-mlogloss:0.001789+0.000007 test-mlogloss:1.117641+0.030704
## [401] train-mlogloss:0.001786+0.000007 test-mlogloss:1.118083+0.030930
## [402] train-mlogloss:0.001783+0.000007 test-mlogloss:1.118184+0.030790
## [403] train-mlogloss:0.001780+0.000007 test-mlogloss:1.118395+0.030675
## [404] train-mlogloss:0.001778+0.000007 test-mlogloss:1.118529+0.030751
## [405] train-mlogloss:0.001776+0.000007 test-mlogloss:1.118963+0.030916
## [406] train-mlogloss:0.001773+0.000007 test-mlogloss:1.119328+0.030918
## [407] train-mlogloss:0.001770+0.000007 test-mlogloss:1.119768+0.030531
## [408] train-mlogloss:0.001768+0.000007 test-mlogloss:1.120549+0.030546
## [409] train-mlogloss:0.001765+0.000006 test-mlogloss:1.120885+0.030214
## [410] train-mlogloss:0.001763+0.000007 test-mlogloss:1.120801+0.030191
## [411] train-mlogloss:0.001760+0.000007 test-mlogloss:1.120969+0.029898
## [412] train-mlogloss:0.001758+0.000007 test-mlogloss:1.121405+0.029830
## [413] train-mlogloss:0.001755+0.000006 test-mlogloss:1.121830+0.029921
## [414] train-mlogloss:0.001752+0.000006 test-mlogloss:1.122162+0.029735
## [415] train-mlogloss:0.001750+0.000006 test-mlogloss:1.122473+0.029747
## [416] train-mlogloss:0.001747+0.000006 test-mlogloss:1.122843+0.030066
## [417] train-mlogloss:0.001745+0.000006 test-mlogloss:1.123398+0.029795
## [418] train-mlogloss:0.001742+0.000006 test-mlogloss:1.123846+0.030263
## [419] train-mlogloss:0.001739+0.000006 test-mlogloss:1.123926+0.030324
## [420] train-mlogloss:0.001737+0.000006 test-mlogloss:1.124073+0.030328
## [421] train-mlogloss:0.001734+0.000006 test-mlogloss:1.123910+0.030288
## [422] train-mlogloss:0.001732+0.000006 test-mlogloss:1.124068+0.029949
## [423] train-mlogloss:0.001730+0.000006 test-mlogloss:1.124593+0.030425
## [424] train-mlogloss:0.001728+0.000006 test-mlogloss:1.125061+0.030289
## [425] train-mlogloss:0.001725+0.000006 test-mlogloss:1.125016+0.029818
## [426] train-mlogloss:0.001723+0.000007 test-mlogloss:1.124776+0.029914
## [427] train-mlogloss:0.001720+0.000006 test-mlogloss:1.125099+0.030217
## [428] train-mlogloss:0.001718+0.000007 test-mlogloss:1.125364+0.030419
## [429] train-mlogloss:0.001716+0.000006 test-mlogloss:1.125323+0.030307
## [430] train-mlogloss:0.001713+0.000006 test-mlogloss:1.125504+0.030425
## [431] train-mlogloss:0.001711+0.000006 test-mlogloss:1.125349+0.030300
## [432] train-mlogloss:0.001709+0.000006 test-mlogloss:1.125722+0.030267
## [433] train-mlogloss:0.001707+0.000005 test-mlogloss:1.125898+0.030085
## [434] train-mlogloss:0.001705+0.000005 test-mlogloss:1.126352+0.030230
## [435] train-mlogloss:0.001702+0.000005 test-mlogloss:1.126836+0.030325
## [436] train-mlogloss:0.001700+0.000005 test-mlogloss:1.126865+0.030147
## [437] train-mlogloss:0.001698+0.000005 test-mlogloss:1.127047+0.030091
## [438] train-mlogloss:0.001695+0.000005 test-mlogloss:1.127418+0.030225
## [439] train-mlogloss:0.001694+0.000005 test-mlogloss:1.127927+0.030468
## [440] train-mlogloss:0.001691+0.000005 test-mlogloss:1.128100+0.030067
## [441] train-mlogloss:0.001689+0.000005 test-mlogloss:1.128506+0.030191
## [442] train-mlogloss:0.001687+0.000005 test-mlogloss:1.128676+0.030375
## [443] train-mlogloss:0.001685+0.000005 test-mlogloss:1.128759+0.030362
## [444] train-mlogloss:0.001682+0.000005 test-mlogloss:1.129079+0.029874
## [445] train-mlogloss:0.001680+0.000004 test-mlogloss:1.129228+0.030048
## [446] train-mlogloss:0.001678+0.000004 test-mlogloss:1.129593+0.030195
## [447] train-mlogloss:0.001676+0.000004 test-mlogloss:1.129653+0.030775
## [448] train-mlogloss:0.001674+0.000005 test-mlogloss:1.130360+0.030807
## [449] train-mlogloss:0.001672+0.000005 test-mlogloss:1.130532+0.030765
## [450] train-mlogloss:0.001669+0.000004 test-mlogloss:1.130974+0.030836
## [451] train-mlogloss:0.001667+0.000005 test-mlogloss:1.130847+0.031042
## [452] train-mlogloss:0.001664+0.000004 test-mlogloss:1.131606+0.030926
## [453] train-mlogloss:0.001662+0.000004 test-mlogloss:1.131693+0.030872
## [454] train-mlogloss:0.001660+0.000005 test-mlogloss:1.132260+0.030505
## [455] train-mlogloss:0.001658+0.000005 test-mlogloss:1.132561+0.030669
## [456] train-mlogloss:0.001656+0.000004 test-mlogloss:1.133117+0.030903
## [457] train-mlogloss:0.001654+0.000004 test-mlogloss:1.133317+0.030944
## [458] train-mlogloss:0.001652+0.000004 test-mlogloss:1.133619+0.031125
## [459] train-mlogloss:0.001650+0.000004 test-mlogloss:1.133428+0.031141
## [460] train-mlogloss:0.001648+0.000004 test-mlogloss:1.133724+0.030761
## [461] train-mlogloss:0.001646+0.000004 test-mlogloss:1.134309+0.031004
## [462] train-mlogloss:0.001643+0.000004 test-mlogloss:1.134625+0.031117
## [463] train-mlogloss:0.001641+0.000004 test-mlogloss:1.135086+0.031022
## [464] train-mlogloss:0.001640+0.000005 test-mlogloss:1.135694+0.031202
## [465] train-mlogloss:0.001637+0.000005 test-mlogloss:1.135402+0.031330
## [466] train-mlogloss:0.001635+0.000005 test-mlogloss:1.135935+0.031346
## [467] train-mlogloss:0.001634+0.000005 test-mlogloss:1.135700+0.031242
## [468] train-mlogloss:0.001632+0.000005 test-mlogloss:1.136098+0.030835
## [469] train-mlogloss:0.001630+0.000005 test-mlogloss:1.136442+0.030657
## [470] train-mlogloss:0.001628+0.000005 test-mlogloss:1.136396+0.030841
## [471] train-mlogloss:0.001626+0.000005 test-mlogloss:1.136345+0.030747
## [472] train-mlogloss:0.001624+0.000005 test-mlogloss:1.136770+0.030263
## [473] train-mlogloss:0.001622+0.000005 test-mlogloss:1.136933+0.030454
## [474] train-mlogloss:0.001620+0.000005 test-mlogloss:1.137485+0.030561
## [475] train-mlogloss:0.001618+0.000005 test-mlogloss:1.137744+0.030551
## [476] train-mlogloss:0.001616+0.000005 test-mlogloss:1.137504+0.030285
## [477] train-mlogloss:0.001614+0.000005 test-mlogloss:1.137623+0.030403
## [478] train-mlogloss:0.001612+0.000005 test-mlogloss:1.138211+0.030318
## [479] train-mlogloss:0.001610+0.000005 test-mlogloss:1.138507+0.030100
## [480] train-mlogloss:0.001608+0.000005 test-mlogloss:1.138650+0.029852
## [481] train-mlogloss:0.001606+0.000005 test-mlogloss:1.139036+0.029860
## [482] train-mlogloss:0.001604+0.000005 test-mlogloss:1.138991+0.030106
## [483] train-mlogloss:0.001602+0.000005 test-mlogloss:1.139392+0.030020
## [484] train-mlogloss:0.001601+0.000005 test-mlogloss:1.139505+0.030249
## [485] train-mlogloss:0.001599+0.000006 test-mlogloss:1.139671+0.030238
## [486] train-mlogloss:0.001597+0.000006 test-mlogloss:1.139604+0.030065
## [487] train-mlogloss:0.001595+0.000006 test-mlogloss:1.139465+0.029696
## [488] train-mlogloss:0.001593+0.000006 test-mlogloss:1.139785+0.029730
## [489] train-mlogloss:0.001591+0.000006 test-mlogloss:1.140029+0.029733
## [490] train-mlogloss:0.001589+0.000006 test-mlogloss:1.140102+0.029687
## [491] train-mlogloss:0.001587+0.000006 test-mlogloss:1.140331+0.030104
## [492] train-mlogloss:0.001586+0.000006 test-mlogloss:1.140467+0.029659
## [493] train-mlogloss:0.001584+0.000006 test-mlogloss:1.141010+0.030097
## [494] train-mlogloss:0.001582+0.000005 test-mlogloss:1.141306+0.029719
## [495] train-mlogloss:0.001580+0.000006 test-mlogloss:1.142002+0.029452
## [496] train-mlogloss:0.001578+0.000005 test-mlogloss:1.141739+0.029481
## [497] train-mlogloss:0.001576+0.000006 test-mlogloss:1.141654+0.030076
## [498] train-mlogloss:0.001574+0.000006 test-mlogloss:1.142022+0.030022
## [499] train-mlogloss:0.001572+0.000006 test-mlogloss:1.142117+0.030259
## [500] train-mlogloss:0.001571+0.000005 test-mlogloss:1.142666+0.030456
## [1] train-mlogloss:0.523304+0.002354 test-mlogloss:0.543323+0.008906
## [2] train-mlogloss:0.500460+0.001950 test-mlogloss:0.539175+0.009768
## [3] train-mlogloss:0.488592+0.002093 test-mlogloss:0.542435+0.008067
## [4] train-mlogloss:0.478990+0.003136 test-mlogloss:0.546515+0.007984
## [5] train-mlogloss:0.467626+0.005884 test-mlogloss:0.550342+0.008580
## [6] train-mlogloss:0.456807+0.006515 test-mlogloss:0.555549+0.010627
## [7] train-mlogloss:0.447405+0.006709 test-mlogloss:0.556681+0.009659
## [8] train-mlogloss:0.436654+0.008190 test-mlogloss:0.560173+0.010383
## [9] train-mlogloss:0.426896+0.009654 test-mlogloss:0.565307+0.011550
## [10] train-mlogloss:0.418519+0.011017 test-mlogloss:0.570729+0.012730
## [11] train-mlogloss:0.410726+0.010931 test-mlogloss:0.573680+0.013370
## [12] train-mlogloss:0.402784+0.009943 test-mlogloss:0.577806+0.014368
## [13] train-mlogloss:0.393508+0.010187 test-mlogloss:0.583420+0.014346
## [14] train-mlogloss:0.386276+0.009620 test-mlogloss:0.586689+0.014402
## [15] train-mlogloss:0.378205+0.009580 test-mlogloss:0.588293+0.014770
## [16] train-mlogloss:0.370490+0.007749 test-mlogloss:0.590526+0.013429
## [17] train-mlogloss:0.361925+0.006575 test-mlogloss:0.592932+0.016269
## [18] train-mlogloss:0.355195+0.007896 test-mlogloss:0.594270+0.016146
## [19] train-mlogloss:0.348101+0.008347 test-mlogloss:0.597652+0.015224
## [20] train-mlogloss:0.341553+0.009700 test-mlogloss:0.601951+0.018031
## [21] train-mlogloss:0.336314+0.009606 test-mlogloss:0.604407+0.016391
## [22] train-mlogloss:0.329407+0.009691 test-mlogloss:0.608296+0.015372
## [23] train-mlogloss:0.323927+0.008395 test-mlogloss:0.611828+0.015870
## [24] train-mlogloss:0.317909+0.008365 test-mlogloss:0.613075+0.015786
## [25] train-mlogloss:0.310547+0.008278 test-mlogloss:0.617230+0.016432
## [26] train-mlogloss:0.304148+0.007930 test-mlogloss:0.620318+0.015791
## [27] train-mlogloss:0.297951+0.008963 test-mlogloss:0.622519+0.016633
## [28] train-mlogloss:0.292223+0.010003 test-mlogloss:0.625850+0.018173
## [29] train-mlogloss:0.286400+0.009560 test-mlogloss:0.628890+0.018391
## [30] train-mlogloss:0.280764+0.009350 test-mlogloss:0.633040+0.017633
## [31] train-mlogloss:0.275395+0.009087 test-mlogloss:0.634461+0.017775
## [32] train-mlogloss:0.268952+0.008837 test-mlogloss:0.638063+0.017074
## [33] train-mlogloss:0.263261+0.007831 test-mlogloss:0.640789+0.017962
## [34] train-mlogloss:0.258360+0.007304 test-mlogloss:0.644569+0.018865
## [35] train-mlogloss:0.253425+0.007444 test-mlogloss:0.648469+0.019845
## [36] train-mlogloss:0.248101+0.006804 test-mlogloss:0.650454+0.020151
## [37] train-mlogloss:0.244187+0.006686 test-mlogloss:0.652137+0.020870
## [38] train-mlogloss:0.239743+0.006530 test-mlogloss:0.655463+0.022615
## [39] train-mlogloss:0.235241+0.005982 test-mlogloss:0.658833+0.022608
## [40] train-mlogloss:0.230969+0.006307 test-mlogloss:0.661832+0.020476
## [41] train-mlogloss:0.226184+0.006129 test-mlogloss:0.663052+0.021940
## [42] train-mlogloss:0.222275+0.006512 test-mlogloss:0.665738+0.022017
## [43] train-mlogloss:0.218665+0.006652 test-mlogloss:0.667445+0.022806
## [44] train-mlogloss:0.214181+0.006904 test-mlogloss:0.671487+0.022647
## [45] train-mlogloss:0.210834+0.006501 test-mlogloss:0.673475+0.023197
## [46] train-mlogloss:0.207113+0.006370 test-mlogloss:0.675428+0.022655
## [47] train-mlogloss:0.203315+0.006455 test-mlogloss:0.679469+0.024276
## [48] train-mlogloss:0.199868+0.006297 test-mlogloss:0.681793+0.024439
## [49] train-mlogloss:0.196104+0.005598 test-mlogloss:0.684948+0.023477
## [50] train-mlogloss:0.193034+0.005797 test-mlogloss:0.685177+0.025205
## [51] train-mlogloss:0.189676+0.005576 test-mlogloss:0.687109+0.026601
## [52] train-mlogloss:0.185806+0.005848 test-mlogloss:0.689112+0.026318
## [53] train-mlogloss:0.181524+0.004885 test-mlogloss:0.692710+0.025944
## [54] train-mlogloss:0.177763+0.004301 test-mlogloss:0.695836+0.025921
## [55] train-mlogloss:0.174930+0.004409 test-mlogloss:0.696569+0.026720
## [56] train-mlogloss:0.170947+0.004588 test-mlogloss:0.700448+0.028145
## [57] train-mlogloss:0.167347+0.004509 test-mlogloss:0.704655+0.028341
## [58] train-mlogloss:0.163926+0.004386 test-mlogloss:0.707385+0.028860
## [59] train-mlogloss:0.160421+0.004261 test-mlogloss:0.709075+0.028233
## [60] train-mlogloss:0.156867+0.003859 test-mlogloss:0.712384+0.029576
## [61] train-mlogloss:0.153914+0.003749 test-mlogloss:0.714544+0.028790
## [62] train-mlogloss:0.151230+0.004126 test-mlogloss:0.717737+0.030013
## [63] train-mlogloss:0.148367+0.004016 test-mlogloss:0.720435+0.031235
## [64] train-mlogloss:0.145407+0.003681 test-mlogloss:0.723182+0.030537
## [65] train-mlogloss:0.142698+0.003899 test-mlogloss:0.725025+0.031600
## [66] train-mlogloss:0.140306+0.003283 test-mlogloss:0.727805+0.031024
## [67] train-mlogloss:0.137701+0.003515 test-mlogloss:0.731208+0.029964
## [68] train-mlogloss:0.135085+0.003399 test-mlogloss:0.734707+0.029709
## [69] train-mlogloss:0.132149+0.003259 test-mlogloss:0.738476+0.029883
## [70] train-mlogloss:0.129411+0.003054 test-mlogloss:0.740849+0.030326
## [71] train-mlogloss:0.126853+0.002940 test-mlogloss:0.743465+0.030308
## [72] train-mlogloss:0.124389+0.003176 test-mlogloss:0.747162+0.030284
## [73] train-mlogloss:0.122027+0.003039 test-mlogloss:0.749778+0.030236
## [74] train-mlogloss:0.119908+0.003127 test-mlogloss:0.750577+0.031800
## [75] train-mlogloss:0.117571+0.003122 test-mlogloss:0.754777+0.031991
## [76] train-mlogloss:0.115338+0.003197 test-mlogloss:0.757987+0.033882
## [77] train-mlogloss:0.113031+0.003195 test-mlogloss:0.760413+0.034676
## [78] train-mlogloss:0.110943+0.002937 test-mlogloss:0.763164+0.034285
## [79] train-mlogloss:0.108866+0.002821 test-mlogloss:0.765324+0.035234
## [80] train-mlogloss:0.106704+0.002746 test-mlogloss:0.768674+0.033859
## [81] train-mlogloss:0.105047+0.002795 test-mlogloss:0.770682+0.033094
## [82] train-mlogloss:0.103514+0.002704 test-mlogloss:0.772429+0.033361
## [83] train-mlogloss:0.101753+0.002562 test-mlogloss:0.775116+0.032699
## [84] train-mlogloss:0.099709+0.002678 test-mlogloss:0.777104+0.033416
## [85] train-mlogloss:0.097866+0.002332 test-mlogloss:0.777961+0.034058
## [86] train-mlogloss:0.096163+0.002191 test-mlogloss:0.780026+0.034964
## [87] train-mlogloss:0.094422+0.002428 test-mlogloss:0.782067+0.035630
## [88] train-mlogloss:0.092545+0.002513 test-mlogloss:0.785888+0.035494
## [89] train-mlogloss:0.090769+0.002484 test-mlogloss:0.789063+0.036399
## [90] train-mlogloss:0.089053+0.002531 test-mlogloss:0.791991+0.036036
## [91] train-mlogloss:0.087691+0.002448 test-mlogloss:0.794166+0.034025
## [92] train-mlogloss:0.086155+0.002715 test-mlogloss:0.795498+0.035837
## [93] train-mlogloss:0.084604+0.002629 test-mlogloss:0.798042+0.036812
## [94] train-mlogloss:0.083000+0.002631 test-mlogloss:0.799508+0.036248
## [95] train-mlogloss:0.081683+0.002554 test-mlogloss:0.801047+0.036042
## [96] train-mlogloss:0.080296+0.002799 test-mlogloss:0.802347+0.035669
## [97] train-mlogloss:0.078798+0.002681 test-mlogloss:0.805038+0.036265
## [98] train-mlogloss:0.077395+0.002586 test-mlogloss:0.807276+0.037194
## [99] train-mlogloss:0.075903+0.002338 test-mlogloss:0.810097+0.037289
## [100] train-mlogloss:0.074606+0.002544 test-mlogloss:0.812057+0.036561
## [101] train-mlogloss:0.073455+0.002547 test-mlogloss:0.814811+0.036485
## [102] train-mlogloss:0.072281+0.002448 test-mlogloss:0.817854+0.035999
## [103] train-mlogloss:0.071087+0.002477 test-mlogloss:0.820209+0.036702
## [104] train-mlogloss:0.070024+0.002456 test-mlogloss:0.821385+0.037250
## [105] train-mlogloss:0.068783+0.002404 test-mlogloss:0.824972+0.035932
## [106] train-mlogloss:0.067627+0.002235 test-mlogloss:0.827676+0.037377
## [107] train-mlogloss:0.066516+0.001962 test-mlogloss:0.827690+0.036048
## [108] train-mlogloss:0.065396+0.001960 test-mlogloss:0.830405+0.037382
## [109] train-mlogloss:0.064343+0.002048 test-mlogloss:0.832741+0.038836
## [110] train-mlogloss:0.063252+0.001950 test-mlogloss:0.836103+0.038165
## [111] train-mlogloss:0.062153+0.001929 test-mlogloss:0.837683+0.038819
## [112] train-mlogloss:0.060926+0.001839 test-mlogloss:0.840482+0.037189
## [113] train-mlogloss:0.060005+0.001847 test-mlogloss:0.843102+0.036904
## [114] train-mlogloss:0.059129+0.001710 test-mlogloss:0.845537+0.037257
## [115] train-mlogloss:0.058169+0.001727 test-mlogloss:0.847398+0.038684
## [116] train-mlogloss:0.057145+0.001463 test-mlogloss:0.849819+0.038321
## [117] train-mlogloss:0.056171+0.001365 test-mlogloss:0.850241+0.038736
## [118] train-mlogloss:0.055306+0.001373 test-mlogloss:0.852790+0.038557
## [119] train-mlogloss:0.054474+0.001274 test-mlogloss:0.855019+0.039370
## [120] train-mlogloss:0.053427+0.001259 test-mlogloss:0.858488+0.038687
## [121] train-mlogloss:0.052597+0.001156 test-mlogloss:0.862382+0.039738
## [122] train-mlogloss:0.051731+0.001224 test-mlogloss:0.863813+0.040042
## [123] train-mlogloss:0.050909+0.001219 test-mlogloss:0.865386+0.039721
## [124] train-mlogloss:0.050297+0.001261 test-mlogloss:0.866886+0.040269
## [125] train-mlogloss:0.049577+0.001265 test-mlogloss:0.869200+0.038842
## [126] train-mlogloss:0.048955+0.001132 test-mlogloss:0.871141+0.038704
## [127] train-mlogloss:0.048134+0.001149 test-mlogloss:0.873080+0.039359
## [128] train-mlogloss:0.047477+0.001146 test-mlogloss:0.873877+0.038995
## [129] train-mlogloss:0.046769+0.001171 test-mlogloss:0.877210+0.039060
## [130] train-mlogloss:0.046041+0.001244 test-mlogloss:0.878280+0.038288
## [131] train-mlogloss:0.045294+0.001311 test-mlogloss:0.879662+0.038833
## [132] train-mlogloss:0.044602+0.001334 test-mlogloss:0.881394+0.038572
## [133] train-mlogloss:0.043842+0.001391 test-mlogloss:0.883355+0.037553
## [134] train-mlogloss:0.043166+0.001311 test-mlogloss:0.885070+0.037388
## [135] train-mlogloss:0.042517+0.001237 test-mlogloss:0.886737+0.038843
## [136] train-mlogloss:0.041876+0.001245 test-mlogloss:0.888886+0.039654
## [137] train-mlogloss:0.041171+0.001275 test-mlogloss:0.890640+0.039596
## [138] train-mlogloss:0.040464+0.001264 test-mlogloss:0.892360+0.040481
## [139] train-mlogloss:0.039923+0.001262 test-mlogloss:0.894008+0.040481
## [140] train-mlogloss:0.039379+0.001235 test-mlogloss:0.895314+0.040096
## [141] train-mlogloss:0.038780+0.001243 test-mlogloss:0.896361+0.040353
## [142] train-mlogloss:0.038210+0.001281 test-mlogloss:0.897950+0.040802
## [143] train-mlogloss:0.037715+0.001298 test-mlogloss:0.900812+0.042873
## [144] train-mlogloss:0.037168+0.001304 test-mlogloss:0.902470+0.041781
## [145] train-mlogloss:0.036669+0.001266 test-mlogloss:0.905127+0.042188
## [146] train-mlogloss:0.036101+0.001214 test-mlogloss:0.907358+0.042198
## [147] train-mlogloss:0.035550+0.001220 test-mlogloss:0.909902+0.041725
## [148] train-mlogloss:0.034983+0.001163 test-mlogloss:0.911854+0.042306
## [149] train-mlogloss:0.034621+0.001158 test-mlogloss:0.913865+0.042738
## [150] train-mlogloss:0.034177+0.001191 test-mlogloss:0.915277+0.042804
## [151] train-mlogloss:0.033751+0.001126 test-mlogloss:0.915876+0.042075
## [152] train-mlogloss:0.033277+0.001182 test-mlogloss:0.916850+0.042363
## [153] train-mlogloss:0.032851+0.001174 test-mlogloss:0.918213+0.043962
## [154] train-mlogloss:0.032378+0.001244 test-mlogloss:0.919618+0.044677
## [155] train-mlogloss:0.032048+0.001221 test-mlogloss:0.921356+0.044928
## [156] train-mlogloss:0.031647+0.001221 test-mlogloss:0.924034+0.045757
## [157] train-mlogloss:0.031273+0.001196 test-mlogloss:0.926127+0.045031
## [158] train-mlogloss:0.030777+0.001059 test-mlogloss:0.927744+0.045252
## [159] train-mlogloss:0.030338+0.001036 test-mlogloss:0.930362+0.045988
## [160] train-mlogloss:0.029948+0.001054 test-mlogloss:0.930882+0.044831
## [161] train-mlogloss:0.029481+0.001019 test-mlogloss:0.932958+0.045044
## [162] train-mlogloss:0.029060+0.000975 test-mlogloss:0.934532+0.044049
## [163] train-mlogloss:0.028696+0.000969 test-mlogloss:0.937056+0.043847
## [164] train-mlogloss:0.028274+0.000949 test-mlogloss:0.937463+0.045141
## [165] train-mlogloss:0.027823+0.000895 test-mlogloss:0.939675+0.046630
## [166] train-mlogloss:0.027457+0.000876 test-mlogloss:0.941435+0.046663
## [167] train-mlogloss:0.027058+0.000869 test-mlogloss:0.943163+0.046558
## [168] train-mlogloss:0.026700+0.000847 test-mlogloss:0.945234+0.046619
## [169] train-mlogloss:0.026347+0.000801 test-mlogloss:0.946811+0.048414
## [170] train-mlogloss:0.025995+0.000795 test-mlogloss:0.949503+0.048839
## [171] train-mlogloss:0.025637+0.000816 test-mlogloss:0.951217+0.049030
## [172] train-mlogloss:0.025312+0.000755 test-mlogloss:0.953574+0.049773
## [173] train-mlogloss:0.024998+0.000794 test-mlogloss:0.956725+0.049980
## [174] train-mlogloss:0.024712+0.000792 test-mlogloss:0.958685+0.050812
## [175] train-mlogloss:0.024347+0.000720 test-mlogloss:0.959459+0.051802
## [176] train-mlogloss:0.024082+0.000674 test-mlogloss:0.960429+0.051762
## [177] train-mlogloss:0.023771+0.000642 test-mlogloss:0.962869+0.052267
## [178] train-mlogloss:0.023441+0.000625 test-mlogloss:0.964616+0.052446
## [179] train-mlogloss:0.023185+0.000588 test-mlogloss:0.966310+0.051265
## [180] train-mlogloss:0.022913+0.000564 test-mlogloss:0.967057+0.050965
## [181] train-mlogloss:0.022609+0.000521 test-mlogloss:0.969027+0.052518
## [182] train-mlogloss:0.022340+0.000530 test-mlogloss:0.970692+0.053315
## [183] train-mlogloss:0.022067+0.000557 test-mlogloss:0.972148+0.053363
## [184] train-mlogloss:0.021821+0.000466 test-mlogloss:0.972906+0.052898
## [185] train-mlogloss:0.021564+0.000472 test-mlogloss:0.973829+0.053668
## [186] train-mlogloss:0.021315+0.000530 test-mlogloss:0.975369+0.053276
## [187] train-mlogloss:0.021074+0.000561 test-mlogloss:0.977399+0.052487
## [188] train-mlogloss:0.020828+0.000547 test-mlogloss:0.979367+0.052397
## [189] train-mlogloss:0.020592+0.000586 test-mlogloss:0.982323+0.052814
## [190] train-mlogloss:0.020413+0.000512 test-mlogloss:0.983602+0.051971
## [191] train-mlogloss:0.020245+0.000511 test-mlogloss:0.984353+0.052002
## [192] train-mlogloss:0.019984+0.000481 test-mlogloss:0.986818+0.051942
## [193] train-mlogloss:0.019767+0.000486 test-mlogloss:0.987433+0.051327
## [194] train-mlogloss:0.019547+0.000505 test-mlogloss:0.989179+0.051769
## [195] train-mlogloss:0.019344+0.000505 test-mlogloss:0.991574+0.053348
## [196] train-mlogloss:0.019114+0.000496 test-mlogloss:0.993032+0.053581
## [197] train-mlogloss:0.018889+0.000464 test-mlogloss:0.994174+0.054672
## [198] train-mlogloss:0.018689+0.000425 test-mlogloss:0.996001+0.055164
## [199] train-mlogloss:0.018460+0.000422 test-mlogloss:0.997502+0.054639
## [200] train-mlogloss:0.018225+0.000435 test-mlogloss:1.000158+0.055240
## [201] train-mlogloss:0.018004+0.000437 test-mlogloss:1.002139+0.055217
## [202] train-mlogloss:0.017837+0.000404 test-mlogloss:1.004235+0.054151
## [203] train-mlogloss:0.017614+0.000425 test-mlogloss:1.005771+0.055423
## [204] train-mlogloss:0.017438+0.000400 test-mlogloss:1.007082+0.054943
## [205] train-mlogloss:0.017253+0.000372 test-mlogloss:1.008909+0.055103
## [206] train-mlogloss:0.017057+0.000378 test-mlogloss:1.012159+0.055055
## [207] train-mlogloss:0.016853+0.000367 test-mlogloss:1.014741+0.055168
## [208] train-mlogloss:0.016684+0.000355 test-mlogloss:1.016829+0.054883
## [209] train-mlogloss:0.016511+0.000320 test-mlogloss:1.017929+0.055577
## [210] train-mlogloss:0.016350+0.000287 test-mlogloss:1.019433+0.056205
## [211] train-mlogloss:0.016183+0.000283 test-mlogloss:1.021031+0.055700
## [212] train-mlogloss:0.015981+0.000264 test-mlogloss:1.022194+0.054447
## [213] train-mlogloss:0.015850+0.000261 test-mlogloss:1.023455+0.054171
## [214] train-mlogloss:0.015666+0.000240 test-mlogloss:1.024802+0.055119
## [215] train-mlogloss:0.015500+0.000256 test-mlogloss:1.025691+0.053888
## [216] train-mlogloss:0.015313+0.000281 test-mlogloss:1.027148+0.052603
## [217] train-mlogloss:0.015173+0.000298 test-mlogloss:1.028629+0.052959
## [218] train-mlogloss:0.015017+0.000300 test-mlogloss:1.029395+0.052491
## [219] train-mlogloss:0.014875+0.000289 test-mlogloss:1.030451+0.053266
## [220] train-mlogloss:0.014721+0.000296 test-mlogloss:1.031725+0.052880
## [221] train-mlogloss:0.014610+0.000278 test-mlogloss:1.033017+0.053319
## [222] train-mlogloss:0.014453+0.000258 test-mlogloss:1.034484+0.052533
## [223] train-mlogloss:0.014305+0.000242 test-mlogloss:1.035642+0.052096
## [224] train-mlogloss:0.014174+0.000243 test-mlogloss:1.037063+0.051929
## [225] train-mlogloss:0.014050+0.000234 test-mlogloss:1.038648+0.052023
## [226] train-mlogloss:0.013929+0.000238 test-mlogloss:1.041059+0.051905
## [227] train-mlogloss:0.013796+0.000252 test-mlogloss:1.042955+0.052255
## [228] train-mlogloss:0.013654+0.000226 test-mlogloss:1.043703+0.052310
## [229] train-mlogloss:0.013527+0.000217 test-mlogloss:1.044122+0.051405
## [230] train-mlogloss:0.013390+0.000200 test-mlogloss:1.046148+0.050808
## [231] train-mlogloss:0.013289+0.000205 test-mlogloss:1.046820+0.051026
## [232] train-mlogloss:0.013170+0.000221 test-mlogloss:1.048205+0.051349
## [233] train-mlogloss:0.013047+0.000210 test-mlogloss:1.049977+0.051553
## [234] train-mlogloss:0.012932+0.000223 test-mlogloss:1.051357+0.050750
## [235] train-mlogloss:0.012815+0.000231 test-mlogloss:1.051954+0.051426
## [236] train-mlogloss:0.012704+0.000229 test-mlogloss:1.053900+0.051273
## [237] train-mlogloss:0.012613+0.000242 test-mlogloss:1.055080+0.051395
## [238] train-mlogloss:0.012508+0.000240 test-mlogloss:1.056320+0.051730
## [239] train-mlogloss:0.012387+0.000251 test-mlogloss:1.058307+0.051715
## [240] train-mlogloss:0.012267+0.000257 test-mlogloss:1.059713+0.051683
## [241] train-mlogloss:0.012154+0.000277 test-mlogloss:1.061683+0.052421
## [242] train-mlogloss:0.012048+0.000281 test-mlogloss:1.063248+0.051998
## [243] train-mlogloss:0.011939+0.000282 test-mlogloss:1.063744+0.051825
## [244] train-mlogloss:0.011845+0.000271 test-mlogloss:1.064911+0.052060
## [245] train-mlogloss:0.011744+0.000277 test-mlogloss:1.065748+0.052044
## [246] train-mlogloss:0.011638+0.000285 test-mlogloss:1.067335+0.052598
## [247] train-mlogloss:0.011537+0.000295 test-mlogloss:1.069574+0.053006
## [248] train-mlogloss:0.011444+0.000280 test-mlogloss:1.070955+0.053219
## [249] train-mlogloss:0.011346+0.000274 test-mlogloss:1.072553+0.052719
## [250] train-mlogloss:0.011243+0.000283 test-mlogloss:1.073659+0.053670
## [251] train-mlogloss:0.011142+0.000266 test-mlogloss:1.074229+0.053683
## [252] train-mlogloss:0.011037+0.000275 test-mlogloss:1.075993+0.054325
## [253] train-mlogloss:0.010956+0.000277 test-mlogloss:1.076246+0.054498
## [254] train-mlogloss:0.010861+0.000275 test-mlogloss:1.077237+0.055389
## [255] train-mlogloss:0.010777+0.000293 test-mlogloss:1.078357+0.056043
## [256] train-mlogloss:0.010670+0.000282 test-mlogloss:1.079697+0.055661
## [257] train-mlogloss:0.010576+0.000269 test-mlogloss:1.079876+0.054992
## [258] train-mlogloss:0.010491+0.000269 test-mlogloss:1.080488+0.055317
## [259] train-mlogloss:0.010411+0.000259 test-mlogloss:1.081750+0.055713
## [260] train-mlogloss:0.010330+0.000261 test-mlogloss:1.082377+0.055276
## [261] train-mlogloss:0.010248+0.000265 test-mlogloss:1.083725+0.055408
## [262] train-mlogloss:0.010175+0.000268 test-mlogloss:1.084570+0.056153
## [263] train-mlogloss:0.010098+0.000265 test-mlogloss:1.086005+0.056696
## [264] train-mlogloss:0.010024+0.000265 test-mlogloss:1.087794+0.055785
## [265] train-mlogloss:0.009954+0.000250 test-mlogloss:1.088733+0.056710
## [266] train-mlogloss:0.009882+0.000256 test-mlogloss:1.088743+0.055920
## [267] train-mlogloss:0.009808+0.000243 test-mlogloss:1.090312+0.055541
## [268] train-mlogloss:0.009736+0.000240 test-mlogloss:1.093234+0.055668
## [269] train-mlogloss:0.009663+0.000238 test-mlogloss:1.094030+0.056639
## [270] train-mlogloss:0.009584+0.000227 test-mlogloss:1.095316+0.056392
## [271] train-mlogloss:0.009506+0.000233 test-mlogloss:1.097215+0.056219
## [272] train-mlogloss:0.009439+0.000214 test-mlogloss:1.098693+0.056429
## [273] train-mlogloss:0.009372+0.000226 test-mlogloss:1.099655+0.056172
## [274] train-mlogloss:0.009295+0.000210 test-mlogloss:1.099617+0.056693
## [275] train-mlogloss:0.009226+0.000207 test-mlogloss:1.101191+0.055964
## [276] train-mlogloss:0.009166+0.000207 test-mlogloss:1.102812+0.056247
## [277] train-mlogloss:0.009104+0.000204 test-mlogloss:1.103352+0.056271
## [278] train-mlogloss:0.009036+0.000202 test-mlogloss:1.104359+0.056487
## [279] train-mlogloss:0.008947+0.000208 test-mlogloss:1.107200+0.056457
## [280] train-mlogloss:0.008876+0.000203 test-mlogloss:1.108631+0.055706
## [281] train-mlogloss:0.008820+0.000199 test-mlogloss:1.110764+0.056088
## [282] train-mlogloss:0.008765+0.000193 test-mlogloss:1.111934+0.056404
## [283] train-mlogloss:0.008713+0.000203 test-mlogloss:1.113616+0.056770
## [284] train-mlogloss:0.008662+0.000200 test-mlogloss:1.114948+0.057616
## [285] train-mlogloss:0.008605+0.000199 test-mlogloss:1.114676+0.057217
## [286] train-mlogloss:0.008550+0.000206 test-mlogloss:1.115152+0.057630
## [287] train-mlogloss:0.008490+0.000198 test-mlogloss:1.116601+0.058592
## [288] train-mlogloss:0.008424+0.000204 test-mlogloss:1.118658+0.058449
## [289] train-mlogloss:0.008378+0.000204 test-mlogloss:1.119491+0.058258
## [290] train-mlogloss:0.008318+0.000197 test-mlogloss:1.120333+0.058698
## [291] train-mlogloss:0.008261+0.000209 test-mlogloss:1.121654+0.058675
## [292] train-mlogloss:0.008201+0.000210 test-mlogloss:1.123044+0.058792
## [293] train-mlogloss:0.008141+0.000222 test-mlogloss:1.124470+0.058837
## [294] train-mlogloss:0.008085+0.000214 test-mlogloss:1.125369+0.059340
## [295] train-mlogloss:0.008020+0.000208 test-mlogloss:1.126853+0.059085
## [296] train-mlogloss:0.007962+0.000202 test-mlogloss:1.127537+0.059396
## [297] train-mlogloss:0.007904+0.000198 test-mlogloss:1.128477+0.059102
## [298] train-mlogloss:0.007845+0.000198 test-mlogloss:1.129999+0.058465
## [299] train-mlogloss:0.007795+0.000204 test-mlogloss:1.130393+0.058290
## [300] train-mlogloss:0.007737+0.000193 test-mlogloss:1.132117+0.058605
## [301] train-mlogloss:0.007683+0.000184 test-mlogloss:1.132501+0.058103
## [302] train-mlogloss:0.007640+0.000184 test-mlogloss:1.134002+0.057980
## [303] train-mlogloss:0.007597+0.000192 test-mlogloss:1.134471+0.057981
## [304] train-mlogloss:0.007561+0.000187 test-mlogloss:1.134778+0.058597
## [305] train-mlogloss:0.007517+0.000178 test-mlogloss:1.135578+0.057994
## [306] train-mlogloss:0.007474+0.000175 test-mlogloss:1.137548+0.057924
## [307] train-mlogloss:0.007424+0.000167 test-mlogloss:1.138773+0.058026
## [308] train-mlogloss:0.007386+0.000164 test-mlogloss:1.138718+0.058638
## [309] train-mlogloss:0.007338+0.000171 test-mlogloss:1.139772+0.058555
## [310] train-mlogloss:0.007299+0.000179 test-mlogloss:1.140051+0.058448
## [311] train-mlogloss:0.007255+0.000173 test-mlogloss:1.140516+0.057631
## [312] train-mlogloss:0.007213+0.000167 test-mlogloss:1.141888+0.057175
## [313] train-mlogloss:0.007167+0.000160 test-mlogloss:1.142091+0.057545
## [314] train-mlogloss:0.007128+0.000158 test-mlogloss:1.143858+0.057803
## [315] train-mlogloss:0.007088+0.000156 test-mlogloss:1.144563+0.057567
## [316] train-mlogloss:0.007050+0.000149 test-mlogloss:1.145457+0.057257
## [317] train-mlogloss:0.007004+0.000157 test-mlogloss:1.146244+0.056955
## [318] train-mlogloss:0.006965+0.000153 test-mlogloss:1.148158+0.057034
## [319] train-mlogloss:0.006927+0.000150 test-mlogloss:1.149069+0.056879
## [320] train-mlogloss:0.006885+0.000156 test-mlogloss:1.149801+0.056045
## [321] train-mlogloss:0.006843+0.000159 test-mlogloss:1.150506+0.056262
## [322] train-mlogloss:0.006809+0.000161 test-mlogloss:1.151666+0.055680
## [323] train-mlogloss:0.006767+0.000153 test-mlogloss:1.153187+0.055979
## [324] train-mlogloss:0.006722+0.000145 test-mlogloss:1.154775+0.055947
## [325] train-mlogloss:0.006684+0.000149 test-mlogloss:1.155182+0.056603
## [326] train-mlogloss:0.006646+0.000146 test-mlogloss:1.155981+0.057199
## [327] train-mlogloss:0.006613+0.000148 test-mlogloss:1.156852+0.056200
## [328] train-mlogloss:0.006577+0.000151 test-mlogloss:1.157058+0.056496
## [329] train-mlogloss:0.006549+0.000146 test-mlogloss:1.158675+0.057129
## [330] train-mlogloss:0.006511+0.000144 test-mlogloss:1.159812+0.056743
## [331] train-mlogloss:0.006479+0.000150 test-mlogloss:1.160769+0.057142
## [332] train-mlogloss:0.006439+0.000163 test-mlogloss:1.161152+0.057632
## [333] train-mlogloss:0.006403+0.000170 test-mlogloss:1.162896+0.057167
## [334] train-mlogloss:0.006368+0.000176 test-mlogloss:1.163494+0.057475
## [335] train-mlogloss:0.006336+0.000173 test-mlogloss:1.164261+0.057787
## [336] train-mlogloss:0.006308+0.000172 test-mlogloss:1.165371+0.057916
## [337] train-mlogloss:0.006272+0.000164 test-mlogloss:1.166089+0.056596
## [338] train-mlogloss:0.006235+0.000163 test-mlogloss:1.165662+0.056787
## [339] train-mlogloss:0.006193+0.000164 test-mlogloss:1.167189+0.057376
## [340] train-mlogloss:0.006157+0.000167 test-mlogloss:1.167589+0.057392
## [341] train-mlogloss:0.006124+0.000162 test-mlogloss:1.168950+0.057006
## [342] train-mlogloss:0.006094+0.000162 test-mlogloss:1.169567+0.057158
## [343] train-mlogloss:0.006065+0.000161 test-mlogloss:1.170217+0.056914
## [344] train-mlogloss:0.006031+0.000156 test-mlogloss:1.171077+0.056815
## [345] train-mlogloss:0.005996+0.000151 test-mlogloss:1.171665+0.056837
## [346] train-mlogloss:0.005964+0.000157 test-mlogloss:1.172736+0.056593
## [347] train-mlogloss:0.005932+0.000157 test-mlogloss:1.174185+0.056734
## [348] train-mlogloss:0.005903+0.000160 test-mlogloss:1.174315+0.056236
## [349] train-mlogloss:0.005866+0.000161 test-mlogloss:1.174880+0.057139
## [350] train-mlogloss:0.005834+0.000159 test-mlogloss:1.175577+0.057593
## [351] train-mlogloss:0.005807+0.000158 test-mlogloss:1.175286+0.057222
## [352] train-mlogloss:0.005784+0.000159 test-mlogloss:1.176204+0.057575
## [353] train-mlogloss:0.005749+0.000154 test-mlogloss:1.178054+0.058120
## [354] train-mlogloss:0.005714+0.000156 test-mlogloss:1.178891+0.057699
## [355] train-mlogloss:0.005684+0.000157 test-mlogloss:1.179815+0.057794
## [356] train-mlogloss:0.005656+0.000152 test-mlogloss:1.180614+0.058438
## [357] train-mlogloss:0.005630+0.000153 test-mlogloss:1.181665+0.058718
## [358] train-mlogloss:0.005603+0.000152 test-mlogloss:1.182447+0.058633
## [359] train-mlogloss:0.005574+0.000150 test-mlogloss:1.183548+0.058201
## [360] train-mlogloss:0.005543+0.000147 test-mlogloss:1.184279+0.058349
## [361] train-mlogloss:0.005508+0.000146 test-mlogloss:1.185249+0.058885
## [362] train-mlogloss:0.005483+0.000150 test-mlogloss:1.186078+0.059647
## [363] train-mlogloss:0.005458+0.000152 test-mlogloss:1.187807+0.059432
## [364] train-mlogloss:0.005429+0.000151 test-mlogloss:1.187718+0.059310
## [365] train-mlogloss:0.005399+0.000150 test-mlogloss:1.187870+0.058966
## [366] train-mlogloss:0.005374+0.000147 test-mlogloss:1.188514+0.059166
## [367] train-mlogloss:0.005344+0.000146 test-mlogloss:1.190280+0.059578
## [368] train-mlogloss:0.005320+0.000146 test-mlogloss:1.190997+0.060070
## [369] train-mlogloss:0.005296+0.000146 test-mlogloss:1.191750+0.059753
## [370] train-mlogloss:0.005271+0.000142 test-mlogloss:1.192396+0.060201
## [371] train-mlogloss:0.005249+0.000139 test-mlogloss:1.193317+0.059768
## [372] train-mlogloss:0.005229+0.000138 test-mlogloss:1.193719+0.060041
## [373] train-mlogloss:0.005203+0.000134 test-mlogloss:1.194130+0.060776
## [374] train-mlogloss:0.005183+0.000130 test-mlogloss:1.195474+0.060294
## [375] train-mlogloss:0.005160+0.000130 test-mlogloss:1.195744+0.060522
## [376] train-mlogloss:0.005135+0.000130 test-mlogloss:1.197017+0.060263
## [377] train-mlogloss:0.005106+0.000127 test-mlogloss:1.198880+0.060135
## [378] train-mlogloss:0.005084+0.000123 test-mlogloss:1.198673+0.059804
## [379] train-mlogloss:0.005060+0.000126 test-mlogloss:1.200454+0.059960
## [380] train-mlogloss:0.005040+0.000125 test-mlogloss:1.201480+0.060409
## [381] train-mlogloss:0.005018+0.000123 test-mlogloss:1.201777+0.060264
## [382] train-mlogloss:0.004995+0.000125 test-mlogloss:1.202957+0.060009
## [383] train-mlogloss:0.004977+0.000121 test-mlogloss:1.203417+0.059657
## [384] train-mlogloss:0.004949+0.000124 test-mlogloss:1.204181+0.060477
## [385] train-mlogloss:0.004924+0.000128 test-mlogloss:1.204730+0.060571
## [386] train-mlogloss:0.004894+0.000124 test-mlogloss:1.206021+0.061255
## [387] train-mlogloss:0.004868+0.000123 test-mlogloss:1.206410+0.061419
## [388] train-mlogloss:0.004847+0.000124 test-mlogloss:1.206646+0.061762
## [389] train-mlogloss:0.004820+0.000123 test-mlogloss:1.207392+0.061415
## [390] train-mlogloss:0.004799+0.000124 test-mlogloss:1.208321+0.060797
## [391] train-mlogloss:0.004773+0.000117 test-mlogloss:1.209221+0.060142
## [392] train-mlogloss:0.004749+0.000118 test-mlogloss:1.209747+0.060523
## [393] train-mlogloss:0.004728+0.000119 test-mlogloss:1.211059+0.061024
## [394] train-mlogloss:0.004708+0.000120 test-mlogloss:1.211008+0.060017
## [395] train-mlogloss:0.004685+0.000119 test-mlogloss:1.211222+0.059867
## [396] train-mlogloss:0.004665+0.000115 test-mlogloss:1.211335+0.060392
## [397] train-mlogloss:0.004647+0.000116 test-mlogloss:1.212313+0.060706
## [398] train-mlogloss:0.004629+0.000115 test-mlogloss:1.212864+0.061295
## [399] train-mlogloss:0.004612+0.000113 test-mlogloss:1.213325+0.060825
## [400] train-mlogloss:0.004592+0.000110 test-mlogloss:1.213206+0.061009
## [401] train-mlogloss:0.004574+0.000108 test-mlogloss:1.213638+0.061046
## [402] train-mlogloss:0.004552+0.000111 test-mlogloss:1.215211+0.061509
## [403] train-mlogloss:0.004535+0.000110 test-mlogloss:1.215342+0.061534
## [404] train-mlogloss:0.004510+0.000103 test-mlogloss:1.215612+0.060786
## [405] train-mlogloss:0.004488+0.000104 test-mlogloss:1.217083+0.061639
## [406] train-mlogloss:0.004470+0.000102 test-mlogloss:1.217985+0.061385
## [407] train-mlogloss:0.004449+0.000101 test-mlogloss:1.218762+0.062204
## [408] train-mlogloss:0.004434+0.000100 test-mlogloss:1.219451+0.062081
## [409] train-mlogloss:0.004418+0.000098 test-mlogloss:1.219754+0.061566
## [410] train-mlogloss:0.004399+0.000097 test-mlogloss:1.221044+0.061594
## [411] train-mlogloss:0.004380+0.000097 test-mlogloss:1.221267+0.061808
## [412] train-mlogloss:0.004366+0.000094 test-mlogloss:1.221565+0.061008
## [413] train-mlogloss:0.004349+0.000096 test-mlogloss:1.221469+0.060892
## [414] train-mlogloss:0.004330+0.000096 test-mlogloss:1.222157+0.060634
## [415] train-mlogloss:0.004311+0.000097 test-mlogloss:1.223374+0.061238
## [416] train-mlogloss:0.004294+0.000095 test-mlogloss:1.224672+0.060486
## [417] train-mlogloss:0.004276+0.000093 test-mlogloss:1.224372+0.060417
## [418] train-mlogloss:0.004262+0.000094 test-mlogloss:1.224149+0.060827
## [419] train-mlogloss:0.004245+0.000092 test-mlogloss:1.225210+0.061060
## [420] train-mlogloss:0.004230+0.000096 test-mlogloss:1.225712+0.060876
## [421] train-mlogloss:0.004214+0.000093 test-mlogloss:1.226209+0.060847
## [422] train-mlogloss:0.004199+0.000092 test-mlogloss:1.227245+0.060767
## [423] train-mlogloss:0.004183+0.000092 test-mlogloss:1.227800+0.060062
## [424] train-mlogloss:0.004168+0.000092 test-mlogloss:1.228711+0.060968
## [425] train-mlogloss:0.004155+0.000092 test-mlogloss:1.229349+0.060605
## [426] train-mlogloss:0.004139+0.000091 test-mlogloss:1.230358+0.060835
## [427] train-mlogloss:0.004122+0.000090 test-mlogloss:1.231263+0.061839
## [428] train-mlogloss:0.004106+0.000091 test-mlogloss:1.232006+0.062231
## [429] train-mlogloss:0.004087+0.000091 test-mlogloss:1.233308+0.061966
## [430] train-mlogloss:0.004070+0.000092 test-mlogloss:1.233601+0.061333
## [431] train-mlogloss:0.004056+0.000092 test-mlogloss:1.235329+0.060546
## [432] train-mlogloss:0.004040+0.000093 test-mlogloss:1.235192+0.060499
## [433] train-mlogloss:0.004025+0.000089 test-mlogloss:1.236078+0.060303
## [434] train-mlogloss:0.004011+0.000093 test-mlogloss:1.236771+0.060656
## [435] train-mlogloss:0.003998+0.000095 test-mlogloss:1.237003+0.060529
## [436] train-mlogloss:0.003986+0.000098 test-mlogloss:1.237565+0.061052
## [437] train-mlogloss:0.003971+0.000096 test-mlogloss:1.237999+0.061363
## [438] train-mlogloss:0.003958+0.000096 test-mlogloss:1.238243+0.060896
## [439] train-mlogloss:0.003942+0.000097 test-mlogloss:1.239355+0.060207
## [440] train-mlogloss:0.003928+0.000096 test-mlogloss:1.240214+0.059825
## [441] train-mlogloss:0.003912+0.000095 test-mlogloss:1.241463+0.060269
## [442] train-mlogloss:0.003895+0.000092 test-mlogloss:1.242207+0.060039
## [443] train-mlogloss:0.003881+0.000091 test-mlogloss:1.242844+0.060813
## [444] train-mlogloss:0.003868+0.000088 test-mlogloss:1.243890+0.060957
## [445] train-mlogloss:0.003856+0.000090 test-mlogloss:1.243782+0.060187
## [446] train-mlogloss:0.003843+0.000091 test-mlogloss:1.243768+0.060224
## [447] train-mlogloss:0.003829+0.000092 test-mlogloss:1.244673+0.060681
## [448] train-mlogloss:0.003816+0.000090 test-mlogloss:1.245441+0.060443
## [449] train-mlogloss:0.003801+0.000089 test-mlogloss:1.246031+0.059872
## [450] train-mlogloss:0.003788+0.000090 test-mlogloss:1.246735+0.059972
## [451] train-mlogloss:0.003774+0.000087 test-mlogloss:1.247962+0.059426
## [452] train-mlogloss:0.003761+0.000084 test-mlogloss:1.248274+0.059035
## [453] train-mlogloss:0.003747+0.000083 test-mlogloss:1.248900+0.058501
## [454] train-mlogloss:0.003736+0.000083 test-mlogloss:1.248928+0.059053
## [455] train-mlogloss:0.003724+0.000082 test-mlogloss:1.249737+0.059387
## [456] train-mlogloss:0.003709+0.000081 test-mlogloss:1.249724+0.058836
## [457] train-mlogloss:0.003697+0.000079 test-mlogloss:1.249689+0.059227
## [458] train-mlogloss:0.003685+0.000079 test-mlogloss:1.251008+0.059447
## [459] train-mlogloss:0.003669+0.000079 test-mlogloss:1.251361+0.058972
## [460] train-mlogloss:0.003656+0.000078 test-mlogloss:1.252126+0.059330
## [461] train-mlogloss:0.003642+0.000080 test-mlogloss:1.253560+0.059813
## [462] train-mlogloss:0.003628+0.000080 test-mlogloss:1.253808+0.059963
## [463] train-mlogloss:0.003617+0.000080 test-mlogloss:1.254275+0.059350
## [464] train-mlogloss:0.003605+0.000080 test-mlogloss:1.254947+0.059097
## [465] train-mlogloss:0.003592+0.000082 test-mlogloss:1.254712+0.059255
## [466] train-mlogloss:0.003581+0.000083 test-mlogloss:1.255966+0.058673
## [467] train-mlogloss:0.003569+0.000084 test-mlogloss:1.256081+0.058816
## [468] train-mlogloss:0.003558+0.000082 test-mlogloss:1.256995+0.058506
## [469] train-mlogloss:0.003545+0.000077 test-mlogloss:1.256896+0.058218
## [470] train-mlogloss:0.003534+0.000076 test-mlogloss:1.257323+0.058184
## [471] train-mlogloss:0.003520+0.000076 test-mlogloss:1.258545+0.058390
## [472] train-mlogloss:0.003510+0.000077 test-mlogloss:1.258836+0.058975
## [473] train-mlogloss:0.003497+0.000077 test-mlogloss:1.258869+0.058803
## [474] train-mlogloss:0.003488+0.000078 test-mlogloss:1.259439+0.058602
## [475] train-mlogloss:0.003476+0.000077 test-mlogloss:1.259825+0.058595
## [476] train-mlogloss:0.003465+0.000079 test-mlogloss:1.259858+0.058812
## [477] train-mlogloss:0.003455+0.000080 test-mlogloss:1.260934+0.058830
## [478] train-mlogloss:0.003441+0.000079 test-mlogloss:1.261852+0.059221
## [479] train-mlogloss:0.003430+0.000081 test-mlogloss:1.262202+0.059749
## [480] train-mlogloss:0.003419+0.000079 test-mlogloss:1.263034+0.059384
## [481] train-mlogloss:0.003409+0.000078 test-mlogloss:1.263209+0.059393
## [482] train-mlogloss:0.003397+0.000077 test-mlogloss:1.263820+0.059216
## [483] train-mlogloss:0.003385+0.000077 test-mlogloss:1.264868+0.059137
## [484] train-mlogloss:0.003373+0.000077 test-mlogloss:1.265100+0.059756
## [485] train-mlogloss:0.003361+0.000075 test-mlogloss:1.265559+0.059636
## [486] train-mlogloss:0.003350+0.000076 test-mlogloss:1.266289+0.060175
## [487] train-mlogloss:0.003339+0.000075 test-mlogloss:1.266956+0.060375
## [488] train-mlogloss:0.003329+0.000074 test-mlogloss:1.267575+0.060234
## [489] train-mlogloss:0.003319+0.000073 test-mlogloss:1.268405+0.060391
## [490] train-mlogloss:0.003309+0.000076 test-mlogloss:1.269098+0.060651
## [491] train-mlogloss:0.003299+0.000074 test-mlogloss:1.269691+0.060386
## [492] train-mlogloss:0.003291+0.000074 test-mlogloss:1.270405+0.060101
## [493] train-mlogloss:0.003279+0.000074 test-mlogloss:1.270637+0.060235
## [494] train-mlogloss:0.003270+0.000076 test-mlogloss:1.271332+0.060588
## [495] train-mlogloss:0.003259+0.000078 test-mlogloss:1.272077+0.061224
## [496] train-mlogloss:0.003249+0.000074 test-mlogloss:1.273151+0.061293
## [497] train-mlogloss:0.003239+0.000073 test-mlogloss:1.273550+0.061688
## [498] train-mlogloss:0.003229+0.000072 test-mlogloss:1.274099+0.061513
## [499] train-mlogloss:0.003220+0.000072 test-mlogloss:1.274628+0.061480
## [500] train-mlogloss:0.003211+0.000073 test-mlogloss:1.275317+0.061290
## [1] train-mlogloss:0.323127+0.003683 test-mlogloss:0.612926+0.016677
## [2] train-mlogloss:0.197613+0.002828 test-mlogloss:0.631850+0.016262
## [3] train-mlogloss:0.135453+0.004881 test-mlogloss:0.663851+0.022592
## [4] train-mlogloss:0.103607+0.002042 test-mlogloss:0.683307+0.025147
## [5] train-mlogloss:0.082151+0.002319 test-mlogloss:0.701395+0.024751
## [6] train-mlogloss:0.066125+0.002288 test-mlogloss:0.715931+0.028264
## [7] train-mlogloss:0.055196+0.002649 test-mlogloss:0.729350+0.028581
## [8] train-mlogloss:0.047204+0.002069 test-mlogloss:0.740107+0.030959
## [9] train-mlogloss:0.041294+0.001927 test-mlogloss:0.753310+0.032266
## [10] train-mlogloss:0.036154+0.001609 test-mlogloss:0.764310+0.031355
## [11] train-mlogloss:0.032159+0.001290 test-mlogloss:0.774707+0.029884
## [12] train-mlogloss:0.028913+0.000971 test-mlogloss:0.784808+0.030121
## [13] train-mlogloss:0.026439+0.000815 test-mlogloss:0.791754+0.028676
## [14] train-mlogloss:0.024271+0.000745 test-mlogloss:0.801309+0.027540
## [15] train-mlogloss:0.022400+0.000570 test-mlogloss:0.809559+0.027712
## [16] train-mlogloss:0.020686+0.000568 test-mlogloss:0.817330+0.028017
## [17] train-mlogloss:0.019226+0.000444 test-mlogloss:0.826347+0.028347
## [18] train-mlogloss:0.018068+0.000368 test-mlogloss:0.832773+0.029521
## [19] train-mlogloss:0.017079+0.000309 test-mlogloss:0.837990+0.029973
## [20] train-mlogloss:0.016149+0.000267 test-mlogloss:0.843856+0.028445
## [21] train-mlogloss:0.015336+0.000257 test-mlogloss:0.848999+0.029719
## [22] train-mlogloss:0.014611+0.000234 test-mlogloss:0.855519+0.029552
## [23] train-mlogloss:0.013935+0.000221 test-mlogloss:0.860275+0.029251
## [24] train-mlogloss:0.013343+0.000189 test-mlogloss:0.864823+0.028813
## [25] train-mlogloss:0.012795+0.000163 test-mlogloss:0.867861+0.027734
## [26] train-mlogloss:0.012287+0.000150 test-mlogloss:0.871794+0.029629
## [27] train-mlogloss:0.011838+0.000136 test-mlogloss:0.876832+0.029891
## [28] train-mlogloss:0.011409+0.000117 test-mlogloss:0.881505+0.028581
## [29] train-mlogloss:0.011021+0.000113 test-mlogloss:0.885446+0.029224
## [30] train-mlogloss:0.010673+0.000106 test-mlogloss:0.887974+0.028489
## [31] train-mlogloss:0.010342+0.000107 test-mlogloss:0.891790+0.029920
## [32] train-mlogloss:0.010036+0.000100 test-mlogloss:0.895145+0.031072
## [33] train-mlogloss:0.009746+0.000089 test-mlogloss:0.898386+0.031112
## [34] train-mlogloss:0.009469+0.000092 test-mlogloss:0.901025+0.031784
## [35] train-mlogloss:0.009219+0.000083 test-mlogloss:0.904843+0.031278
## [36] train-mlogloss:0.008958+0.000081 test-mlogloss:0.907218+0.029972
## [37] train-mlogloss:0.008740+0.000077 test-mlogloss:0.909445+0.029860
## [38] train-mlogloss:0.008525+0.000072 test-mlogloss:0.912299+0.030259
## [39] train-mlogloss:0.008327+0.000063 test-mlogloss:0.915690+0.029726
## [40] train-mlogloss:0.008129+0.000057 test-mlogloss:0.918942+0.029450
## [41] train-mlogloss:0.007947+0.000047 test-mlogloss:0.920482+0.028745
## [42] train-mlogloss:0.007791+0.000046 test-mlogloss:0.922745+0.027538
## [43] train-mlogloss:0.007635+0.000052 test-mlogloss:0.926769+0.027952
## [44] train-mlogloss:0.007487+0.000046 test-mlogloss:0.929387+0.028007
## [45] train-mlogloss:0.007341+0.000039 test-mlogloss:0.931178+0.028210
## [46] train-mlogloss:0.007198+0.000037 test-mlogloss:0.933089+0.029019
## [47] train-mlogloss:0.007068+0.000032 test-mlogloss:0.936164+0.029718
## [48] train-mlogloss:0.006944+0.000031 test-mlogloss:0.938346+0.029405
## [49] train-mlogloss:0.006821+0.000027 test-mlogloss:0.940615+0.030024
## [50] train-mlogloss:0.006706+0.000021 test-mlogloss:0.942764+0.030591
## [51] train-mlogloss:0.006587+0.000024 test-mlogloss:0.944926+0.030076
## [52] train-mlogloss:0.006473+0.000023 test-mlogloss:0.946270+0.030108
## [53] train-mlogloss:0.006369+0.000031 test-mlogloss:0.948264+0.029618
## [54] train-mlogloss:0.006277+0.000026 test-mlogloss:0.950427+0.029633
## [55] train-mlogloss:0.006176+0.000029 test-mlogloss:0.953281+0.029939
## [56] train-mlogloss:0.006083+0.000032 test-mlogloss:0.956483+0.030417
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## [58] train-mlogloss:0.005907+0.000033 test-mlogloss:0.960580+0.029962
## [59] train-mlogloss:0.005826+0.000037 test-mlogloss:0.963416+0.029424
## [60] train-mlogloss:0.005746+0.000031 test-mlogloss:0.966116+0.029978
## [61] train-mlogloss:0.005668+0.000026 test-mlogloss:0.967753+0.031287
## [62] train-mlogloss:0.005595+0.000023 test-mlogloss:0.969420+0.030981
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## [64] train-mlogloss:0.005452+0.000019 test-mlogloss:0.972664+0.030300
## [65] train-mlogloss:0.005378+0.000020 test-mlogloss:0.973875+0.030314
## [66] train-mlogloss:0.005313+0.000024 test-mlogloss:0.975225+0.030073
## [67] train-mlogloss:0.005249+0.000025 test-mlogloss:0.977026+0.029641
## [68] train-mlogloss:0.005189+0.000024 test-mlogloss:0.978213+0.030629
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## [70] train-mlogloss:0.005069+0.000024 test-mlogloss:0.983182+0.031799
## [71] train-mlogloss:0.005012+0.000026 test-mlogloss:0.985126+0.031022
## [72] train-mlogloss:0.004954+0.000022 test-mlogloss:0.986008+0.032101
## [73] train-mlogloss:0.004904+0.000020 test-mlogloss:0.988040+0.031160
## [74] train-mlogloss:0.004851+0.000019 test-mlogloss:0.989046+0.031551
## [75] train-mlogloss:0.004802+0.000020 test-mlogloss:0.990780+0.032549
## [76] train-mlogloss:0.004749+0.000020 test-mlogloss:0.992213+0.032611
## [77] train-mlogloss:0.004702+0.000020 test-mlogloss:0.994362+0.032275
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## [79] train-mlogloss:0.004610+0.000023 test-mlogloss:0.996160+0.031555
## [80] train-mlogloss:0.004565+0.000024 test-mlogloss:0.997129+0.031770
## [81] train-mlogloss:0.004521+0.000024 test-mlogloss:0.999226+0.031493
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## [83] train-mlogloss:0.004438+0.000025 test-mlogloss:1.000934+0.030663
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## [87] train-mlogloss:0.004286+0.000022 test-mlogloss:1.005189+0.031900
## [88] train-mlogloss:0.004250+0.000022 test-mlogloss:1.006293+0.032404
## [89] train-mlogloss:0.004211+0.000022 test-mlogloss:1.007659+0.032679
## [90] train-mlogloss:0.004176+0.000024 test-mlogloss:1.008632+0.032930
## [91] train-mlogloss:0.004141+0.000021 test-mlogloss:1.009816+0.032685
## [92] train-mlogloss:0.004108+0.000019 test-mlogloss:1.011722+0.033554
## [93] train-mlogloss:0.004075+0.000018 test-mlogloss:1.012173+0.032932
## [94] train-mlogloss:0.004044+0.000015 test-mlogloss:1.014493+0.032892
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## [96] train-mlogloss:0.003976+0.000017 test-mlogloss:1.016534+0.031827
## [97] train-mlogloss:0.003945+0.000015 test-mlogloss:1.017809+0.032659
## [98] train-mlogloss:0.003913+0.000017 test-mlogloss:1.019622+0.032891
## [99] train-mlogloss:0.003882+0.000018 test-mlogloss:1.020374+0.032540
## [100] train-mlogloss:0.003853+0.000016 test-mlogloss:1.021505+0.033187
## [101] train-mlogloss:0.003826+0.000017 test-mlogloss:1.022243+0.032779
## [102] train-mlogloss:0.003797+0.000019 test-mlogloss:1.023081+0.032317
## [103] train-mlogloss:0.003771+0.000021 test-mlogloss:1.024558+0.032524
## [104] train-mlogloss:0.003745+0.000022 test-mlogloss:1.025789+0.032477
## [105] train-mlogloss:0.003718+0.000018 test-mlogloss:1.026568+0.033167
## [106] train-mlogloss:0.003694+0.000018 test-mlogloss:1.027423+0.033619
## [107] train-mlogloss:0.003669+0.000020 test-mlogloss:1.028964+0.033473
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## [109] train-mlogloss:0.003620+0.000021 test-mlogloss:1.031275+0.034129
## [110] train-mlogloss:0.003597+0.000021 test-mlogloss:1.032528+0.034229
## [111] train-mlogloss:0.003573+0.000021 test-mlogloss:1.033229+0.033868
## [112] train-mlogloss:0.003551+0.000022 test-mlogloss:1.033726+0.033458
## [113] train-mlogloss:0.003529+0.000020 test-mlogloss:1.034544+0.032811
## [114] train-mlogloss:0.003506+0.000019 test-mlogloss:1.036206+0.032822
## [115] train-mlogloss:0.003483+0.000018 test-mlogloss:1.036749+0.033098
## [116] train-mlogloss:0.003462+0.000019 test-mlogloss:1.037557+0.033455
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## [119] train-mlogloss:0.003398+0.000018 test-mlogloss:1.041406+0.034245
## [120] train-mlogloss:0.003376+0.000016 test-mlogloss:1.042561+0.034244
## [121] train-mlogloss:0.003356+0.000016 test-mlogloss:1.043960+0.033986
## [122] train-mlogloss:0.003338+0.000016 test-mlogloss:1.044242+0.033934
## [123] train-mlogloss:0.003318+0.000016 test-mlogloss:1.045517+0.033978
## [124] train-mlogloss:0.003297+0.000017 test-mlogloss:1.045770+0.034054
## [125] train-mlogloss:0.003280+0.000016 test-mlogloss:1.047266+0.034243
## [126] train-mlogloss:0.003261+0.000016 test-mlogloss:1.047925+0.033465
## [127] train-mlogloss:0.003241+0.000015 test-mlogloss:1.049232+0.033484
## [128] train-mlogloss:0.003223+0.000014 test-mlogloss:1.050094+0.033040
## [129] train-mlogloss:0.003206+0.000014 test-mlogloss:1.051665+0.033659
## [130] train-mlogloss:0.003189+0.000014 test-mlogloss:1.052585+0.034246
## [131] train-mlogloss:0.003173+0.000014 test-mlogloss:1.052455+0.034369
## [132] train-mlogloss:0.003156+0.000013 test-mlogloss:1.054588+0.033669
## [133] train-mlogloss:0.003139+0.000013 test-mlogloss:1.055368+0.033408
## [134] train-mlogloss:0.003123+0.000012 test-mlogloss:1.055984+0.033020
## [135] train-mlogloss:0.003107+0.000011 test-mlogloss:1.057144+0.032963
## [136] train-mlogloss:0.003092+0.000009 test-mlogloss:1.057989+0.033054
## [137] train-mlogloss:0.003077+0.000010 test-mlogloss:1.058650+0.033279
## [138] train-mlogloss:0.003061+0.000010 test-mlogloss:1.058804+0.033173
## [139] train-mlogloss:0.003047+0.000009 test-mlogloss:1.059409+0.033584
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## [151] train-mlogloss:0.002877+0.000008 test-mlogloss:1.068273+0.033618
## [152] train-mlogloss:0.002864+0.000008 test-mlogloss:1.068569+0.033449
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## [158] train-mlogloss:0.002787+0.000007 test-mlogloss:1.072928+0.032996
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## [160] train-mlogloss:0.002766+0.000006 test-mlogloss:1.074764+0.033605
## [161] train-mlogloss:0.002755+0.000006 test-mlogloss:1.076143+0.032975
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## [166] train-mlogloss:0.002700+0.000006 test-mlogloss:1.078681+0.033780
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## [175] train-mlogloss:0.002607+0.000003 test-mlogloss:1.085016+0.035043
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## [211] train-mlogloss:0.002307+0.000007 test-mlogloss:1.103487+0.034040
## [212] train-mlogloss:0.002300+0.000007 test-mlogloss:1.104452+0.034051
## [213] train-mlogloss:0.002293+0.000008 test-mlogloss:1.104987+0.034228
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## [217] train-mlogloss:0.002264+0.000010 test-mlogloss:1.106954+0.035142
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## [223] train-mlogloss:0.002225+0.000008 test-mlogloss:1.111205+0.035248
## [224] train-mlogloss:0.002219+0.000007 test-mlogloss:1.111245+0.036065
## [225] train-mlogloss:0.002212+0.000007 test-mlogloss:1.111591+0.035564
## [226] train-mlogloss:0.002206+0.000007 test-mlogloss:1.112705+0.034797
## [227] train-mlogloss:0.002200+0.000008 test-mlogloss:1.113134+0.035014
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## [247] train-mlogloss:0.002083+0.000011 test-mlogloss:1.119600+0.033899
## [248] train-mlogloss:0.002078+0.000011 test-mlogloss:1.120000+0.032930
## [249] train-mlogloss:0.002072+0.000012 test-mlogloss:1.120497+0.033243
## [250] train-mlogloss:0.002067+0.000012 test-mlogloss:1.120850+0.033787
## [251] train-mlogloss:0.002062+0.000013 test-mlogloss:1.121135+0.033265
## [252] train-mlogloss:0.002058+0.000012 test-mlogloss:1.121564+0.033363
## [253] train-mlogloss:0.002052+0.000012 test-mlogloss:1.121965+0.033932
## [254] train-mlogloss:0.002048+0.000012 test-mlogloss:1.121936+0.034080
## [255] train-mlogloss:0.002043+0.000013 test-mlogloss:1.122378+0.033822
## [256] train-mlogloss:0.002038+0.000012 test-mlogloss:1.122105+0.034847
## [257] train-mlogloss:0.002034+0.000011 test-mlogloss:1.122452+0.034294
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## [259] train-mlogloss:0.002024+0.000012 test-mlogloss:1.123533+0.034425
## [260] train-mlogloss:0.002019+0.000012 test-mlogloss:1.123909+0.034617
## [261] train-mlogloss:0.002014+0.000012 test-mlogloss:1.124047+0.034637
## [262] train-mlogloss:0.002009+0.000013 test-mlogloss:1.124724+0.035065
## [263] train-mlogloss:0.002005+0.000013 test-mlogloss:1.125108+0.034855
## [264] train-mlogloss:0.002001+0.000013 test-mlogloss:1.125484+0.035372
## [265] train-mlogloss:0.001996+0.000013 test-mlogloss:1.125059+0.034958
## [266] train-mlogloss:0.001992+0.000012 test-mlogloss:1.125358+0.035090
## [267] train-mlogloss:0.001987+0.000011 test-mlogloss:1.126039+0.034988
## [268] train-mlogloss:0.001982+0.000011 test-mlogloss:1.125751+0.034552
## [269] train-mlogloss:0.001978+0.000010 test-mlogloss:1.126545+0.034205
## [270] train-mlogloss:0.001973+0.000010 test-mlogloss:1.127610+0.035032
## [271] train-mlogloss:0.001968+0.000011 test-mlogloss:1.127694+0.035210
## [272] train-mlogloss:0.001963+0.000011 test-mlogloss:1.128118+0.034912
## [273] train-mlogloss:0.001959+0.000011 test-mlogloss:1.128430+0.034644
## [274] train-mlogloss:0.001955+0.000011 test-mlogloss:1.129312+0.034585
## [275] train-mlogloss:0.001951+0.000011 test-mlogloss:1.129068+0.034701
## [276] train-mlogloss:0.001946+0.000012 test-mlogloss:1.129058+0.035396
## [277] train-mlogloss:0.001942+0.000012 test-mlogloss:1.129860+0.034696
## [278] train-mlogloss:0.001937+0.000013 test-mlogloss:1.130313+0.034874
## [279] train-mlogloss:0.001933+0.000013 test-mlogloss:1.131013+0.034740
## [280] train-mlogloss:0.001929+0.000013 test-mlogloss:1.131538+0.035301
## [281] train-mlogloss:0.001924+0.000013 test-mlogloss:1.131893+0.035620
## [282] train-mlogloss:0.001920+0.000013 test-mlogloss:1.132435+0.035819
## [283] train-mlogloss:0.001917+0.000013 test-mlogloss:1.132598+0.035553
## [284] train-mlogloss:0.001913+0.000012 test-mlogloss:1.133460+0.035921
## [285] train-mlogloss:0.001908+0.000012 test-mlogloss:1.134428+0.035536
## [286] train-mlogloss:0.001905+0.000012 test-mlogloss:1.134620+0.036133
## [287] train-mlogloss:0.001901+0.000011 test-mlogloss:1.134497+0.036124
## [288] train-mlogloss:0.001897+0.000011 test-mlogloss:1.135346+0.036656
## [289] train-mlogloss:0.001893+0.000011 test-mlogloss:1.135413+0.036243
## [290] train-mlogloss:0.001888+0.000011 test-mlogloss:1.135814+0.035600
## [291] train-mlogloss:0.001884+0.000011 test-mlogloss:1.136550+0.036395
## [292] train-mlogloss:0.001880+0.000011 test-mlogloss:1.136923+0.036408
## [293] train-mlogloss:0.001876+0.000011 test-mlogloss:1.137249+0.036548
## [294] train-mlogloss:0.001872+0.000011 test-mlogloss:1.137613+0.035813
## [295] train-mlogloss:0.001868+0.000011 test-mlogloss:1.138337+0.036014
## [296] train-mlogloss:0.001865+0.000011 test-mlogloss:1.138517+0.036647
## [297] train-mlogloss:0.001861+0.000011 test-mlogloss:1.139033+0.035964
## [298] train-mlogloss:0.001858+0.000011 test-mlogloss:1.139894+0.036684
## [299] train-mlogloss:0.001854+0.000011 test-mlogloss:1.139589+0.035853
## [300] train-mlogloss:0.001850+0.000011 test-mlogloss:1.139892+0.036454
## [301] train-mlogloss:0.001846+0.000011 test-mlogloss:1.139422+0.035806
## [302] train-mlogloss:0.001843+0.000011 test-mlogloss:1.140046+0.035989
## [303] train-mlogloss:0.001839+0.000011 test-mlogloss:1.140137+0.036074
## [304] train-mlogloss:0.001835+0.000011 test-mlogloss:1.140448+0.036339
## [305] train-mlogloss:0.001831+0.000011 test-mlogloss:1.140928+0.036118
## [306] train-mlogloss:0.001827+0.000010 test-mlogloss:1.141660+0.036283
## [307] train-mlogloss:0.001823+0.000011 test-mlogloss:1.141763+0.036329
## [308] train-mlogloss:0.001820+0.000011 test-mlogloss:1.142198+0.036695
## [309] train-mlogloss:0.001816+0.000011 test-mlogloss:1.142512+0.036832
## [310] train-mlogloss:0.001813+0.000011 test-mlogloss:1.143036+0.037424
## [311] train-mlogloss:0.001808+0.000011 test-mlogloss:1.143910+0.036950
## [312] train-mlogloss:0.001805+0.000011 test-mlogloss:1.143830+0.036495
## [313] train-mlogloss:0.001802+0.000011 test-mlogloss:1.144095+0.036167
## [314] train-mlogloss:0.001798+0.000011 test-mlogloss:1.144280+0.036761
## [315] train-mlogloss:0.001794+0.000011 test-mlogloss:1.144783+0.037093
## [316] train-mlogloss:0.001791+0.000011 test-mlogloss:1.145248+0.036716
## [317] train-mlogloss:0.001788+0.000010 test-mlogloss:1.146133+0.036945
## [318] train-mlogloss:0.001785+0.000010 test-mlogloss:1.145745+0.037396
## [319] train-mlogloss:0.001782+0.000010 test-mlogloss:1.145752+0.037344
## [320] train-mlogloss:0.001778+0.000010 test-mlogloss:1.146524+0.037549
## [321] train-mlogloss:0.001775+0.000009 test-mlogloss:1.146651+0.037393
## [322] train-mlogloss:0.001771+0.000009 test-mlogloss:1.147156+0.037499
## [323] train-mlogloss:0.001768+0.000010 test-mlogloss:1.147455+0.037376
## [324] train-mlogloss:0.001765+0.000010 test-mlogloss:1.147628+0.036674
## [325] train-mlogloss:0.001761+0.000010 test-mlogloss:1.147761+0.037237
## [326] train-mlogloss:0.001758+0.000010 test-mlogloss:1.148214+0.037372
## [327] train-mlogloss:0.001755+0.000010 test-mlogloss:1.148398+0.036932
## [328] train-mlogloss:0.001752+0.000010 test-mlogloss:1.148615+0.037577
## [329] train-mlogloss:0.001749+0.000010 test-mlogloss:1.149268+0.037562
## [330] train-mlogloss:0.001746+0.000010 test-mlogloss:1.149610+0.037277
## [331] train-mlogloss:0.001743+0.000010 test-mlogloss:1.149420+0.037614
## [332] train-mlogloss:0.001740+0.000010 test-mlogloss:1.149965+0.038641
## [333] train-mlogloss:0.001737+0.000010 test-mlogloss:1.150016+0.038645
## [334] train-mlogloss:0.001733+0.000009 test-mlogloss:1.150498+0.038783
## [335] train-mlogloss:0.001730+0.000009 test-mlogloss:1.150808+0.038691
## [336] train-mlogloss:0.001727+0.000009 test-mlogloss:1.151122+0.038294
## [337] train-mlogloss:0.001724+0.000009 test-mlogloss:1.151594+0.037761
## [338] train-mlogloss:0.001721+0.000009 test-mlogloss:1.152041+0.037857
## [339] train-mlogloss:0.001719+0.000009 test-mlogloss:1.152627+0.037387
## [340] train-mlogloss:0.001715+0.000009 test-mlogloss:1.153095+0.037708
## [341] train-mlogloss:0.001713+0.000009 test-mlogloss:1.153432+0.038112
## [342] train-mlogloss:0.001710+0.000008 test-mlogloss:1.153897+0.038248
## [343] train-mlogloss:0.001707+0.000009 test-mlogloss:1.154104+0.037900
## [344] train-mlogloss:0.001703+0.000009 test-mlogloss:1.153893+0.037536
## [345] train-mlogloss:0.001701+0.000009 test-mlogloss:1.154311+0.037291
## [346] train-mlogloss:0.001697+0.000009 test-mlogloss:1.154440+0.037083
## [347] train-mlogloss:0.001695+0.000008 test-mlogloss:1.155151+0.037505
## [348] train-mlogloss:0.001692+0.000008 test-mlogloss:1.155864+0.037881
## [349] train-mlogloss:0.001689+0.000008 test-mlogloss:1.156589+0.037931
## [350] train-mlogloss:0.001686+0.000008 test-mlogloss:1.155972+0.037199
## [351] train-mlogloss:0.001684+0.000008 test-mlogloss:1.157070+0.037053
## [352] train-mlogloss:0.001681+0.000008 test-mlogloss:1.156735+0.036996
## [353] train-mlogloss:0.001679+0.000008 test-mlogloss:1.156799+0.037032
## [354] train-mlogloss:0.001676+0.000008 test-mlogloss:1.157360+0.036569
## [355] train-mlogloss:0.001673+0.000008 test-mlogloss:1.157951+0.037234
## [356] train-mlogloss:0.001671+0.000008 test-mlogloss:1.158292+0.037363
## [357] train-mlogloss:0.001668+0.000008 test-mlogloss:1.158207+0.037517
## [358] train-mlogloss:0.001665+0.000008 test-mlogloss:1.158601+0.036990
## [359] train-mlogloss:0.001663+0.000008 test-mlogloss:1.158913+0.036726
## [360] train-mlogloss:0.001660+0.000008 test-mlogloss:1.159093+0.037228
## [361] train-mlogloss:0.001658+0.000008 test-mlogloss:1.159886+0.037155
## [362] train-mlogloss:0.001655+0.000008 test-mlogloss:1.160123+0.037704
## [363] train-mlogloss:0.001652+0.000008 test-mlogloss:1.160437+0.037644
## [364] train-mlogloss:0.001650+0.000008 test-mlogloss:1.160543+0.037971
## [365] train-mlogloss:0.001647+0.000008 test-mlogloss:1.160174+0.038203
## [366] train-mlogloss:0.001644+0.000008 test-mlogloss:1.160883+0.038578
## [367] train-mlogloss:0.001642+0.000008 test-mlogloss:1.160897+0.038716
## [368] train-mlogloss:0.001639+0.000008 test-mlogloss:1.161534+0.038880
## [369] train-mlogloss:0.001637+0.000008 test-mlogloss:1.161649+0.038679
## [370] train-mlogloss:0.001634+0.000008 test-mlogloss:1.162637+0.038311
## [371] train-mlogloss:0.001631+0.000008 test-mlogloss:1.162735+0.037686
## [372] train-mlogloss:0.001629+0.000008 test-mlogloss:1.163307+0.038079
## [373] train-mlogloss:0.001626+0.000008 test-mlogloss:1.163102+0.038420
## [374] train-mlogloss:0.001624+0.000008 test-mlogloss:1.163184+0.038659
## [375] train-mlogloss:0.001621+0.000008 test-mlogloss:1.163337+0.038303
## [376] train-mlogloss:0.001618+0.000009 test-mlogloss:1.163545+0.038542
## [377] train-mlogloss:0.001616+0.000008 test-mlogloss:1.163329+0.038810
## [378] train-mlogloss:0.001614+0.000008 test-mlogloss:1.164059+0.038980
## [379] train-mlogloss:0.001611+0.000008 test-mlogloss:1.163833+0.038712
## [380] train-mlogloss:0.001609+0.000009 test-mlogloss:1.164033+0.038097
## [381] train-mlogloss:0.001607+0.000008 test-mlogloss:1.163966+0.038035
## [382] train-mlogloss:0.001604+0.000009 test-mlogloss:1.165008+0.038773
## [383] train-mlogloss:0.001601+0.000008 test-mlogloss:1.165519+0.038835
## [384] train-mlogloss:0.001598+0.000009 test-mlogloss:1.165608+0.039103
## [385] train-mlogloss:0.001596+0.000009 test-mlogloss:1.165860+0.039140
## [386] train-mlogloss:0.001594+0.000008 test-mlogloss:1.165926+0.039223
## [387] train-mlogloss:0.001592+0.000008 test-mlogloss:1.166139+0.038508
## [388] train-mlogloss:0.001590+0.000008 test-mlogloss:1.167072+0.039110
## [389] train-mlogloss:0.001587+0.000008 test-mlogloss:1.167360+0.039882
## [390] train-mlogloss:0.001585+0.000008 test-mlogloss:1.167257+0.039150
## [391] train-mlogloss:0.001583+0.000009 test-mlogloss:1.167411+0.039291
## [392] train-mlogloss:0.001580+0.000009 test-mlogloss:1.167788+0.038920
## [393] train-mlogloss:0.001578+0.000009 test-mlogloss:1.168360+0.038896
## [394] train-mlogloss:0.001575+0.000009 test-mlogloss:1.168761+0.038343
## [395] train-mlogloss:0.001573+0.000009 test-mlogloss:1.169281+0.038357
## [396] train-mlogloss:0.001571+0.000009 test-mlogloss:1.169755+0.037649
## [397] train-mlogloss:0.001569+0.000009 test-mlogloss:1.169264+0.037760
## [398] train-mlogloss:0.001567+0.000009 test-mlogloss:1.170104+0.037856
## [399] train-mlogloss:0.001565+0.000009 test-mlogloss:1.170098+0.037785
## [400] train-mlogloss:0.001563+0.000009 test-mlogloss:1.170192+0.037407
## [401] train-mlogloss:0.001560+0.000009 test-mlogloss:1.170499+0.037457
## [402] train-mlogloss:0.001558+0.000009 test-mlogloss:1.170342+0.037469
## [403] train-mlogloss:0.001556+0.000009 test-mlogloss:1.170520+0.037312
## [404] train-mlogloss:0.001554+0.000009 test-mlogloss:1.170476+0.037750
## [405] train-mlogloss:0.001551+0.000009 test-mlogloss:1.171036+0.037239
## [406] train-mlogloss:0.001549+0.000009 test-mlogloss:1.171313+0.037178
## [407] train-mlogloss:0.001547+0.000009 test-mlogloss:1.171792+0.037351
## [408] train-mlogloss:0.001545+0.000009 test-mlogloss:1.172056+0.037320
## [409] train-mlogloss:0.001543+0.000009 test-mlogloss:1.172653+0.037099
## [410] train-mlogloss:0.001541+0.000009 test-mlogloss:1.173105+0.037181
## [411] train-mlogloss:0.001539+0.000009 test-mlogloss:1.173162+0.036950
## [412] train-mlogloss:0.001537+0.000009 test-mlogloss:1.173204+0.037258
## [413] train-mlogloss:0.001535+0.000009 test-mlogloss:1.173428+0.036923
## [414] train-mlogloss:0.001532+0.000009 test-mlogloss:1.173319+0.036200
## [415] train-mlogloss:0.001530+0.000010 test-mlogloss:1.173331+0.037043
## [416] train-mlogloss:0.001528+0.000009 test-mlogloss:1.174239+0.036699
## [417] train-mlogloss:0.001526+0.000009 test-mlogloss:1.174682+0.036424
## [418] train-mlogloss:0.001523+0.000009 test-mlogloss:1.174966+0.037284
## [419] train-mlogloss:0.001522+0.000009 test-mlogloss:1.175304+0.037229
## [420] train-mlogloss:0.001520+0.000009 test-mlogloss:1.175538+0.036972
## [421] train-mlogloss:0.001518+0.000009 test-mlogloss:1.175837+0.037666
## [422] train-mlogloss:0.001516+0.000009 test-mlogloss:1.175734+0.037561
## [423] train-mlogloss:0.001514+0.000009 test-mlogloss:1.175469+0.036416
## [424] train-mlogloss:0.001512+0.000008 test-mlogloss:1.176005+0.037059
## [425] train-mlogloss:0.001510+0.000008 test-mlogloss:1.176173+0.036529
## [426] train-mlogloss:0.001508+0.000009 test-mlogloss:1.176324+0.037275
## [427] train-mlogloss:0.001506+0.000009 test-mlogloss:1.176469+0.037462
## [428] train-mlogloss:0.001504+0.000009 test-mlogloss:1.176388+0.037633
## [429] train-mlogloss:0.001502+0.000008 test-mlogloss:1.176477+0.037006
## [430] train-mlogloss:0.001501+0.000008 test-mlogloss:1.176780+0.037383
## [431] train-mlogloss:0.001499+0.000009 test-mlogloss:1.177060+0.036727
## [432] train-mlogloss:0.001496+0.000009 test-mlogloss:1.177602+0.036636
## [433] train-mlogloss:0.001494+0.000009 test-mlogloss:1.177890+0.037024
## [434] train-mlogloss:0.001493+0.000008 test-mlogloss:1.177648+0.036830
## [435] train-mlogloss:0.001490+0.000008 test-mlogloss:1.178091+0.036981
## [436] train-mlogloss:0.001488+0.000009 test-mlogloss:1.178237+0.037447
## [437] train-mlogloss:0.001487+0.000009 test-mlogloss:1.178311+0.037506
## [438] train-mlogloss:0.001484+0.000009 test-mlogloss:1.178714+0.037104
## [439] train-mlogloss:0.001482+0.000009 test-mlogloss:1.179012+0.036859
## [440] train-mlogloss:0.001481+0.000009 test-mlogloss:1.178889+0.036296
## [441] train-mlogloss:0.001479+0.000009 test-mlogloss:1.179495+0.036658
## [442] train-mlogloss:0.001477+0.000010 test-mlogloss:1.179764+0.036702
## [443] train-mlogloss:0.001475+0.000009 test-mlogloss:1.180676+0.037058
## [444] train-mlogloss:0.001473+0.000010 test-mlogloss:1.180458+0.037234
## [445] train-mlogloss:0.001472+0.000009 test-mlogloss:1.180563+0.036984
## [446] train-mlogloss:0.001470+0.000010 test-mlogloss:1.181482+0.037123
## [447] train-mlogloss:0.001468+0.000010 test-mlogloss:1.181181+0.037210
## [448] train-mlogloss:0.001466+0.000010 test-mlogloss:1.180965+0.036698
## [449] train-mlogloss:0.001464+0.000010 test-mlogloss:1.181839+0.037015
## [450] train-mlogloss:0.001462+0.000010 test-mlogloss:1.181717+0.037440
## [451] train-mlogloss:0.001461+0.000010 test-mlogloss:1.182399+0.037270
## [452] train-mlogloss:0.001459+0.000010 test-mlogloss:1.183035+0.037495
## [453] train-mlogloss:0.001457+0.000010 test-mlogloss:1.183083+0.037309
## [454] train-mlogloss:0.001455+0.000010 test-mlogloss:1.183310+0.037293
## [455] train-mlogloss:0.001454+0.000010 test-mlogloss:1.183339+0.037173
## [456] train-mlogloss:0.001452+0.000010 test-mlogloss:1.183612+0.037524
## [457] train-mlogloss:0.001450+0.000010 test-mlogloss:1.184121+0.037082
## [458] train-mlogloss:0.001448+0.000010 test-mlogloss:1.184464+0.037192
## [459] train-mlogloss:0.001446+0.000010 test-mlogloss:1.184870+0.037149
## [460] train-mlogloss:0.001445+0.000010 test-mlogloss:1.184982+0.037393
## [461] train-mlogloss:0.001443+0.000010 test-mlogloss:1.185062+0.037213
## [462] train-mlogloss:0.001441+0.000010 test-mlogloss:1.184786+0.036420
## [463] train-mlogloss:0.001440+0.000010 test-mlogloss:1.184716+0.036720
## [464] train-mlogloss:0.001438+0.000010 test-mlogloss:1.185581+0.036847
## [465] train-mlogloss:0.001436+0.000010 test-mlogloss:1.186171+0.036960
## [466] train-mlogloss:0.001434+0.000010 test-mlogloss:1.186301+0.037349
## [467] train-mlogloss:0.001433+0.000010 test-mlogloss:1.186040+0.037393
## [468] train-mlogloss:0.001431+0.000010 test-mlogloss:1.186668+0.037524
## [469] train-mlogloss:0.001429+0.000010 test-mlogloss:1.186584+0.037411
## [470] train-mlogloss:0.001428+0.000010 test-mlogloss:1.187163+0.037266
## [471] train-mlogloss:0.001426+0.000010 test-mlogloss:1.187162+0.037019
## [472] train-mlogloss:0.001425+0.000010 test-mlogloss:1.187187+0.036797
## [473] train-mlogloss:0.001423+0.000010 test-mlogloss:1.187295+0.036858
## [474] train-mlogloss:0.001422+0.000010 test-mlogloss:1.187367+0.037363
## [475] train-mlogloss:0.001420+0.000010 test-mlogloss:1.187553+0.037864
## [476] train-mlogloss:0.001418+0.000010 test-mlogloss:1.187761+0.037812
## [477] train-mlogloss:0.001416+0.000010 test-mlogloss:1.187794+0.037157
## [478] train-mlogloss:0.001415+0.000010 test-mlogloss:1.188009+0.037460
## [479] train-mlogloss:0.001413+0.000010 test-mlogloss:1.188113+0.037415
## [480] train-mlogloss:0.001411+0.000010 test-mlogloss:1.188534+0.037937
## [481] train-mlogloss:0.001409+0.000010 test-mlogloss:1.188504+0.037488
## [482] train-mlogloss:0.001408+0.000010 test-mlogloss:1.189464+0.037904
## [483] train-mlogloss:0.001406+0.000010 test-mlogloss:1.189726+0.038364
## [484] train-mlogloss:0.001405+0.000009 test-mlogloss:1.190088+0.038008
## [485] train-mlogloss:0.001403+0.000009 test-mlogloss:1.190602+0.037995
## [486] train-mlogloss:0.001401+0.000009 test-mlogloss:1.191275+0.037835
## [487] train-mlogloss:0.001399+0.000010 test-mlogloss:1.191276+0.037594
## [488] train-mlogloss:0.001397+0.000010 test-mlogloss:1.191348+0.037738
## [489] train-mlogloss:0.001396+0.000009 test-mlogloss:1.191534+0.037693
## [490] train-mlogloss:0.001394+0.000010 test-mlogloss:1.191623+0.038083
## [491] train-mlogloss:0.001393+0.000010 test-mlogloss:1.191333+0.037871
## [492] train-mlogloss:0.001391+0.000010 test-mlogloss:1.191674+0.037663
## [493] train-mlogloss:0.001389+0.000010 test-mlogloss:1.192185+0.037750
## [494] train-mlogloss:0.001388+0.000009 test-mlogloss:1.192314+0.038477
## [495] train-mlogloss:0.001387+0.000009 test-mlogloss:1.192505+0.038011
## [496] train-mlogloss:0.001385+0.000009 test-mlogloss:1.192326+0.037713
## [497] train-mlogloss:0.001384+0.000009 test-mlogloss:1.192268+0.037158
## [498] train-mlogloss:0.001382+0.000009 test-mlogloss:1.192389+0.037794
## [499] train-mlogloss:0.001380+0.000009 test-mlogloss:1.192247+0.037816
## [500] train-mlogloss:0.001379+0.000009 test-mlogloss:1.192472+0.037565
## [1] train-mlogloss:0.615597+0.002247 test-mlogloss:0.622397+0.002425
## [2] train-mlogloss:0.570571+0.001489 test-mlogloss:0.584042+0.003431
## [3] train-mlogloss:0.542980+0.001342 test-mlogloss:0.561440+0.005140
## [4] train-mlogloss:0.524724+0.001336 test-mlogloss:0.549096+0.005531
## [5] train-mlogloss:0.511923+0.000871 test-mlogloss:0.541899+0.006453
## [6] train-mlogloss:0.502970+0.001266 test-mlogloss:0.537673+0.006737
## [7] train-mlogloss:0.496103+0.001217 test-mlogloss:0.535734+0.007197
## [8] train-mlogloss:0.490195+0.001330 test-mlogloss:0.533764+0.007440
## [9] train-mlogloss:0.485407+0.001607 test-mlogloss:0.533152+0.007240
## [10] train-mlogloss:0.480887+0.002252 test-mlogloss:0.532673+0.007371
## [11] train-mlogloss:0.477478+0.002662 test-mlogloss:0.532628+0.007956
## [12] train-mlogloss:0.474300+0.002757 test-mlogloss:0.532690+0.008231
## [13] train-mlogloss:0.472113+0.003366 test-mlogloss:0.532977+0.008359
## [14] train-mlogloss:0.470032+0.004132 test-mlogloss:0.532885+0.008685
## [15] train-mlogloss:0.467728+0.004051 test-mlogloss:0.533353+0.008114
## [16] train-mlogloss:0.465781+0.003986 test-mlogloss:0.533543+0.008158
## [17] train-mlogloss:0.464150+0.003984 test-mlogloss:0.534037+0.008066
## [18] train-mlogloss:0.462469+0.004267 test-mlogloss:0.534313+0.008103
## [19] train-mlogloss:0.459760+0.004149 test-mlogloss:0.534569+0.007812
## [20] train-mlogloss:0.457772+0.003929 test-mlogloss:0.534981+0.007751
## [21] train-mlogloss:0.455771+0.004744 test-mlogloss:0.535465+0.007736
## [22] train-mlogloss:0.454166+0.003648 test-mlogloss:0.535751+0.007750
## [23] train-mlogloss:0.450895+0.003488 test-mlogloss:0.536120+0.008161
## [24] train-mlogloss:0.448385+0.004052 test-mlogloss:0.536471+0.008281
## [25] train-mlogloss:0.447033+0.004395 test-mlogloss:0.536784+0.008228
## [26] train-mlogloss:0.445166+0.004438 test-mlogloss:0.536935+0.008419
## [27] train-mlogloss:0.442547+0.004866 test-mlogloss:0.537193+0.008548
## [28] train-mlogloss:0.439395+0.005445 test-mlogloss:0.537781+0.008744
## [29] train-mlogloss:0.437293+0.005776 test-mlogloss:0.538573+0.008514
## [30] train-mlogloss:0.435136+0.006392 test-mlogloss:0.539037+0.008708
## [31] train-mlogloss:0.432805+0.006715 test-mlogloss:0.540235+0.009113
## [32] train-mlogloss:0.430884+0.005868 test-mlogloss:0.540546+0.009087
## [33] train-mlogloss:0.428229+0.004762 test-mlogloss:0.541037+0.009045
## [34] train-mlogloss:0.426070+0.005483 test-mlogloss:0.541368+0.009002
## [35] train-mlogloss:0.424679+0.005555 test-mlogloss:0.541714+0.009029
## [36] train-mlogloss:0.422653+0.006135 test-mlogloss:0.541744+0.008983
## [37] train-mlogloss:0.421586+0.006519 test-mlogloss:0.542016+0.008997
## [38] train-mlogloss:0.420098+0.006198 test-mlogloss:0.542236+0.009204
## [39] train-mlogloss:0.418247+0.006924 test-mlogloss:0.542566+0.009329
## [40] train-mlogloss:0.415635+0.007709 test-mlogloss:0.542680+0.009457
## [41] train-mlogloss:0.413093+0.008920 test-mlogloss:0.543436+0.010067
## [42] train-mlogloss:0.411268+0.008434 test-mlogloss:0.543665+0.010006
## [43] train-mlogloss:0.409497+0.008010 test-mlogloss:0.543910+0.010138
## [44] train-mlogloss:0.407266+0.007330 test-mlogloss:0.544948+0.009278
## [45] train-mlogloss:0.405758+0.006994 test-mlogloss:0.545115+0.009528
## [46] train-mlogloss:0.403680+0.006475 test-mlogloss:0.545733+0.009643
## [47] train-mlogloss:0.401658+0.006138 test-mlogloss:0.546191+0.009304
## [48] train-mlogloss:0.398809+0.006130 test-mlogloss:0.546599+0.009618
## [49] train-mlogloss:0.396984+0.006769 test-mlogloss:0.547264+0.009613
## [50] train-mlogloss:0.393859+0.006285 test-mlogloss:0.548256+0.009327
## [51] train-mlogloss:0.392218+0.006238 test-mlogloss:0.548666+0.009663
## [52] train-mlogloss:0.390670+0.006435 test-mlogloss:0.549245+0.009921
## [53] train-mlogloss:0.388749+0.006119 test-mlogloss:0.549498+0.009794
## [54] train-mlogloss:0.386184+0.006575 test-mlogloss:0.549841+0.010459
## [55] train-mlogloss:0.383126+0.006335 test-mlogloss:0.549980+0.010911
## [56] train-mlogloss:0.381605+0.006025 test-mlogloss:0.550319+0.010350
## [57] train-mlogloss:0.379795+0.006365 test-mlogloss:0.551107+0.010888
## [58] train-mlogloss:0.377692+0.006681 test-mlogloss:0.551975+0.010791
## [59] train-mlogloss:0.375986+0.006751 test-mlogloss:0.552327+0.010960
## [60] train-mlogloss:0.374086+0.006140 test-mlogloss:0.552306+0.010740
## [61] train-mlogloss:0.372400+0.006557 test-mlogloss:0.552689+0.010751
## [62] train-mlogloss:0.370749+0.006443 test-mlogloss:0.553089+0.010924
## [63] train-mlogloss:0.369266+0.005758 test-mlogloss:0.553548+0.010889
## [64] train-mlogloss:0.366816+0.006338 test-mlogloss:0.553829+0.010704
## [65] train-mlogloss:0.365408+0.005808 test-mlogloss:0.553978+0.010709
## [66] train-mlogloss:0.363530+0.005158 test-mlogloss:0.554406+0.010524
## [67] train-mlogloss:0.361282+0.004194 test-mlogloss:0.554738+0.010491
## [68] train-mlogloss:0.358800+0.004367 test-mlogloss:0.555585+0.010688
## [69] train-mlogloss:0.356819+0.004734 test-mlogloss:0.555448+0.010326
## [70] train-mlogloss:0.354193+0.005061 test-mlogloss:0.555870+0.010684
## [71] train-mlogloss:0.351932+0.004690 test-mlogloss:0.556309+0.010653
## [72] train-mlogloss:0.350411+0.004361 test-mlogloss:0.556652+0.010271
## [73] train-mlogloss:0.348965+0.004608 test-mlogloss:0.556828+0.010734
## [74] train-mlogloss:0.347091+0.004543 test-mlogloss:0.557155+0.010716
## [75] train-mlogloss:0.345126+0.004392 test-mlogloss:0.557589+0.011152
## [76] train-mlogloss:0.344359+0.004277 test-mlogloss:0.557934+0.010988
## [77] train-mlogloss:0.342998+0.003854 test-mlogloss:0.558183+0.010995
## [78] train-mlogloss:0.341398+0.004001 test-mlogloss:0.558725+0.010981
## [79] train-mlogloss:0.340400+0.004551 test-mlogloss:0.559371+0.011953
## [80] train-mlogloss:0.339754+0.004494 test-mlogloss:0.559596+0.011768
## [81] train-mlogloss:0.338055+0.004372 test-mlogloss:0.560540+0.012039
## [82] train-mlogloss:0.335531+0.004367 test-mlogloss:0.561123+0.011616
## [83] train-mlogloss:0.333782+0.004213 test-mlogloss:0.561564+0.011493
## [84] train-mlogloss:0.332345+0.004817 test-mlogloss:0.562066+0.011721
## [85] train-mlogloss:0.330907+0.004946 test-mlogloss:0.562356+0.012222
## [86] train-mlogloss:0.329130+0.005477 test-mlogloss:0.562689+0.012463
## [87] train-mlogloss:0.326810+0.005377 test-mlogloss:0.563265+0.012646
## [88] train-mlogloss:0.325156+0.005400 test-mlogloss:0.563889+0.013000
## [89] train-mlogloss:0.323919+0.006201 test-mlogloss:0.564268+0.012899
## [90] train-mlogloss:0.322523+0.006006 test-mlogloss:0.564957+0.012559
## [91] train-mlogloss:0.321410+0.005939 test-mlogloss:0.565196+0.012646
## [92] train-mlogloss:0.319754+0.005957 test-mlogloss:0.565992+0.012409
## [93] train-mlogloss:0.318097+0.005539 test-mlogloss:0.566423+0.012344
## [94] train-mlogloss:0.316835+0.005161 test-mlogloss:0.566476+0.012434
## [95] train-mlogloss:0.315855+0.005048 test-mlogloss:0.566837+0.012672
## [96] train-mlogloss:0.314318+0.005228 test-mlogloss:0.567651+0.012807
## [97] train-mlogloss:0.312866+0.005550 test-mlogloss:0.567736+0.012937
## [98] train-mlogloss:0.311290+0.005785 test-mlogloss:0.568343+0.012645
## [99] train-mlogloss:0.310355+0.006045 test-mlogloss:0.568499+0.013003
## [100] train-mlogloss:0.309027+0.006535 test-mlogloss:0.569101+0.013292
## [101] train-mlogloss:0.307640+0.006403 test-mlogloss:0.569462+0.013413
## [102] train-mlogloss:0.305969+0.006541 test-mlogloss:0.569821+0.013935
## [103] train-mlogloss:0.304205+0.007003 test-mlogloss:0.570079+0.014067
## [104] train-mlogloss:0.302891+0.007297 test-mlogloss:0.570650+0.014044
## [105] train-mlogloss:0.301291+0.007165 test-mlogloss:0.571726+0.013410
## [106] train-mlogloss:0.300180+0.006841 test-mlogloss:0.572108+0.013529
## [107] train-mlogloss:0.299044+0.007073 test-mlogloss:0.572283+0.014116
## [108] train-mlogloss:0.297889+0.007714 test-mlogloss:0.572396+0.014210
## [109] train-mlogloss:0.296166+0.007074 test-mlogloss:0.572729+0.014346
## [110] train-mlogloss:0.294745+0.007286 test-mlogloss:0.572949+0.014270
## [111] train-mlogloss:0.292815+0.007371 test-mlogloss:0.573736+0.014792
## [112] train-mlogloss:0.291455+0.007485 test-mlogloss:0.574022+0.015270
## [113] train-mlogloss:0.290241+0.007105 test-mlogloss:0.574621+0.015306
## [114] train-mlogloss:0.289246+0.006753 test-mlogloss:0.575068+0.015029
## [115] train-mlogloss:0.288046+0.006536 test-mlogloss:0.575227+0.014922
## [116] train-mlogloss:0.286800+0.006533 test-mlogloss:0.575543+0.014966
## [117] train-mlogloss:0.285838+0.006661 test-mlogloss:0.576075+0.014925
## [118] train-mlogloss:0.284107+0.006617 test-mlogloss:0.576368+0.014875
## [119] train-mlogloss:0.282444+0.006627 test-mlogloss:0.576670+0.014692
## [120] train-mlogloss:0.280736+0.006899 test-mlogloss:0.577363+0.015015
## [121] train-mlogloss:0.280303+0.006768 test-mlogloss:0.577498+0.014937
## [122] train-mlogloss:0.278929+0.006522 test-mlogloss:0.577936+0.014937
## [123] train-mlogloss:0.277295+0.006127 test-mlogloss:0.578255+0.014999
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## [152] train-mlogloss:0.241005+0.004647 test-mlogloss:0.589602+0.016661
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## [158] train-mlogloss:0.235125+0.005675 test-mlogloss:0.592350+0.017191
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## [160] train-mlogloss:0.232976+0.006009 test-mlogloss:0.592742+0.017196
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## [200] train-mlogloss:0.194165+0.009108 test-mlogloss:0.612179+0.019432
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## [207] train-mlogloss:0.188615+0.008492 test-mlogloss:0.615027+0.019431
## [208] train-mlogloss:0.187837+0.008345 test-mlogloss:0.615375+0.019323
## [209] train-mlogloss:0.186972+0.008235 test-mlogloss:0.615694+0.019021
## [210] train-mlogloss:0.185823+0.008158 test-mlogloss:0.615554+0.019197
## [211] train-mlogloss:0.184840+0.007955 test-mlogloss:0.615675+0.019565
## [212] train-mlogloss:0.184163+0.007875 test-mlogloss:0.616179+0.019863
## [213] train-mlogloss:0.183296+0.007985 test-mlogloss:0.617080+0.020027
## [214] train-mlogloss:0.182438+0.007904 test-mlogloss:0.617842+0.020027
## [215] train-mlogloss:0.181585+0.007759 test-mlogloss:0.618129+0.019920
## [216] train-mlogloss:0.180818+0.007590 test-mlogloss:0.618513+0.019958
## [217] train-mlogloss:0.180083+0.007496 test-mlogloss:0.619247+0.020095
## [218] train-mlogloss:0.179259+0.007642 test-mlogloss:0.619547+0.020446
## [219] train-mlogloss:0.178623+0.007658 test-mlogloss:0.619845+0.020327
## [220] train-mlogloss:0.177332+0.007216 test-mlogloss:0.620457+0.020520
## [221] train-mlogloss:0.176680+0.007319 test-mlogloss:0.620724+0.020193
## [222] train-mlogloss:0.175738+0.007239 test-mlogloss:0.621318+0.020444
## [223] train-mlogloss:0.174517+0.007299 test-mlogloss:0.622113+0.020605
## [224] train-mlogloss:0.173748+0.007405 test-mlogloss:0.622165+0.020552
## [225] train-mlogloss:0.172838+0.007683 test-mlogloss:0.622598+0.020597
## [226] train-mlogloss:0.172073+0.007618 test-mlogloss:0.622945+0.020757
## [227] train-mlogloss:0.171327+0.007452 test-mlogloss:0.623422+0.020419
## [228] train-mlogloss:0.170848+0.007506 test-mlogloss:0.623747+0.020482
## [229] train-mlogloss:0.169833+0.007437 test-mlogloss:0.623698+0.020890
## [230] train-mlogloss:0.168801+0.007335 test-mlogloss:0.624502+0.020636
## [231] train-mlogloss:0.168437+0.007437 test-mlogloss:0.625123+0.021063
## [232] train-mlogloss:0.167857+0.007385 test-mlogloss:0.626014+0.021227
## [233] train-mlogloss:0.167100+0.007297 test-mlogloss:0.626376+0.021299
## [234] train-mlogloss:0.166390+0.007168 test-mlogloss:0.627071+0.021084
## [235] train-mlogloss:0.165888+0.006857 test-mlogloss:0.627189+0.020769
## [236] train-mlogloss:0.165200+0.006717 test-mlogloss:0.627506+0.021007
## [237] train-mlogloss:0.164804+0.006634 test-mlogloss:0.627975+0.021084
## [238] train-mlogloss:0.164028+0.006551 test-mlogloss:0.628629+0.020909
## [239] train-mlogloss:0.163623+0.006496 test-mlogloss:0.629002+0.020727
## [240] train-mlogloss:0.162949+0.006578 test-mlogloss:0.629395+0.020911
## [241] train-mlogloss:0.162162+0.006253 test-mlogloss:0.630088+0.020761
## [242] train-mlogloss:0.161556+0.006153 test-mlogloss:0.630652+0.020608
## [243] train-mlogloss:0.161038+0.006220 test-mlogloss:0.630882+0.020794
## [244] train-mlogloss:0.160326+0.006149 test-mlogloss:0.631409+0.021313
## [245] train-mlogloss:0.159928+0.006228 test-mlogloss:0.631845+0.021240
## [246] train-mlogloss:0.159520+0.006375 test-mlogloss:0.632173+0.021370
## [247] train-mlogloss:0.158725+0.006302 test-mlogloss:0.632750+0.021374
## [248] train-mlogloss:0.158181+0.006419 test-mlogloss:0.633115+0.021471
## [249] train-mlogloss:0.157677+0.006585 test-mlogloss:0.633399+0.021296
## [250] train-mlogloss:0.156875+0.006781 test-mlogloss:0.633965+0.021758
## [251] train-mlogloss:0.156152+0.006935 test-mlogloss:0.634702+0.022228
## [252] train-mlogloss:0.155339+0.006902 test-mlogloss:0.635138+0.021888
## [253] train-mlogloss:0.154656+0.006876 test-mlogloss:0.635590+0.021971
## [254] train-mlogloss:0.153729+0.006715 test-mlogloss:0.636322+0.022196
## [255] train-mlogloss:0.152705+0.006411 test-mlogloss:0.636800+0.022720
## [256] train-mlogloss:0.152180+0.006433 test-mlogloss:0.637168+0.022615
## [257] train-mlogloss:0.151704+0.006326 test-mlogloss:0.637611+0.022249
## [258] train-mlogloss:0.151089+0.006076 test-mlogloss:0.638003+0.022168
## [259] train-mlogloss:0.150481+0.006072 test-mlogloss:0.638182+0.022073
## [260] train-mlogloss:0.150093+0.006119 test-mlogloss:0.638729+0.022108
## [261] train-mlogloss:0.149443+0.006186 test-mlogloss:0.639259+0.022552
## [262] train-mlogloss:0.148941+0.006104 test-mlogloss:0.639905+0.022318
## [263] train-mlogloss:0.148309+0.006287 test-mlogloss:0.640177+0.022377
## [264] train-mlogloss:0.147900+0.006208 test-mlogloss:0.640475+0.022328
## [265] train-mlogloss:0.147025+0.005944 test-mlogloss:0.640649+0.022834
## [266] train-mlogloss:0.146554+0.005929 test-mlogloss:0.641071+0.022730
## [267] train-mlogloss:0.145862+0.005725 test-mlogloss:0.641713+0.022126
## [268] train-mlogloss:0.145267+0.005731 test-mlogloss:0.642127+0.022512
## [269] train-mlogloss:0.144549+0.005655 test-mlogloss:0.642319+0.022488
## [270] train-mlogloss:0.143846+0.005781 test-mlogloss:0.642581+0.022459
## [271] train-mlogloss:0.142931+0.005756 test-mlogloss:0.643079+0.022494
## [272] train-mlogloss:0.142167+0.005955 test-mlogloss:0.643353+0.022346
## [273] train-mlogloss:0.141473+0.005751 test-mlogloss:0.643811+0.022428
## [274] train-mlogloss:0.140863+0.005643 test-mlogloss:0.644184+0.022830
## [275] train-mlogloss:0.140217+0.005872 test-mlogloss:0.644705+0.022826
## [276] train-mlogloss:0.139528+0.005730 test-mlogloss:0.645170+0.022934
## [277] train-mlogloss:0.139029+0.005538 test-mlogloss:0.645507+0.023165
## [278] train-mlogloss:0.138340+0.005651 test-mlogloss:0.646130+0.023096
## [279] train-mlogloss:0.137902+0.005548 test-mlogloss:0.646760+0.022840
## [280] train-mlogloss:0.137296+0.005538 test-mlogloss:0.647699+0.023045
## [281] train-mlogloss:0.136854+0.005705 test-mlogloss:0.647775+0.022828
## [282] train-mlogloss:0.136069+0.005891 test-mlogloss:0.648438+0.023165
## [283] train-mlogloss:0.135528+0.005876 test-mlogloss:0.649079+0.022954
## [284] train-mlogloss:0.135203+0.005706 test-mlogloss:0.649590+0.022734
## [285] train-mlogloss:0.134573+0.005774 test-mlogloss:0.649922+0.022478
## [286] train-mlogloss:0.134068+0.005743 test-mlogloss:0.650076+0.022658
## [287] train-mlogloss:0.133468+0.005971 test-mlogloss:0.650608+0.022229
## [288] train-mlogloss:0.132813+0.006006 test-mlogloss:0.651448+0.022249
## [289] train-mlogloss:0.132346+0.006123 test-mlogloss:0.651872+0.022168
## [290] train-mlogloss:0.131488+0.006080 test-mlogloss:0.652363+0.022058
## [291] train-mlogloss:0.131022+0.006230 test-mlogloss:0.652666+0.022150
## [292] train-mlogloss:0.130491+0.006363 test-mlogloss:0.653319+0.022248
## [293] train-mlogloss:0.129776+0.006400 test-mlogloss:0.653911+0.022186
## [294] train-mlogloss:0.129235+0.006268 test-mlogloss:0.654161+0.022201
## [295] train-mlogloss:0.128885+0.006212 test-mlogloss:0.654437+0.021970
## [296] train-mlogloss:0.128524+0.006329 test-mlogloss:0.654869+0.022244
## [297] train-mlogloss:0.128059+0.006418 test-mlogloss:0.655171+0.022257
## [298] train-mlogloss:0.127541+0.006236 test-mlogloss:0.655637+0.022068
## [299] train-mlogloss:0.126969+0.006102 test-mlogloss:0.655870+0.022259
## [300] train-mlogloss:0.126402+0.006012 test-mlogloss:0.656289+0.022431
## [301] train-mlogloss:0.126026+0.006021 test-mlogloss:0.656671+0.022384
## [302] train-mlogloss:0.125646+0.006122 test-mlogloss:0.656996+0.022417
## [303] train-mlogloss:0.125094+0.006379 test-mlogloss:0.657551+0.022582
## [304] train-mlogloss:0.124559+0.006517 test-mlogloss:0.658128+0.022614
## [305] train-mlogloss:0.123993+0.006517 test-mlogloss:0.658497+0.022610
## [306] train-mlogloss:0.123535+0.006421 test-mlogloss:0.658606+0.022598
## [307] train-mlogloss:0.122939+0.006259 test-mlogloss:0.658984+0.022587
## [308] train-mlogloss:0.122391+0.006165 test-mlogloss:0.659840+0.022548
## [309] train-mlogloss:0.121846+0.006121 test-mlogloss:0.660257+0.022578
## [310] train-mlogloss:0.121387+0.006065 test-mlogloss:0.660749+0.022680
## [311] train-mlogloss:0.120950+0.006075 test-mlogloss:0.661052+0.022678
## [312] train-mlogloss:0.120553+0.006353 test-mlogloss:0.661383+0.022709
## [313] train-mlogloss:0.120099+0.006395 test-mlogloss:0.661748+0.022721
## [314] train-mlogloss:0.119679+0.006337 test-mlogloss:0.662246+0.022778
## [315] train-mlogloss:0.119306+0.006438 test-mlogloss:0.662588+0.022928
## [316] train-mlogloss:0.118764+0.006210 test-mlogloss:0.663255+0.022948
## [317] train-mlogloss:0.118449+0.006072 test-mlogloss:0.663486+0.022651
## [318] train-mlogloss:0.118137+0.006076 test-mlogloss:0.663600+0.022716
## [319] train-mlogloss:0.117705+0.005882 test-mlogloss:0.664323+0.022459
## [320] train-mlogloss:0.117121+0.005778 test-mlogloss:0.664646+0.022588
## [321] train-mlogloss:0.116545+0.005551 test-mlogloss:0.664939+0.022670
## [322] train-mlogloss:0.116145+0.005491 test-mlogloss:0.665388+0.022550
## [323] train-mlogloss:0.115687+0.005415 test-mlogloss:0.665570+0.022526
## [324] train-mlogloss:0.115060+0.005292 test-mlogloss:0.666119+0.022672
## [325] train-mlogloss:0.114600+0.005138 test-mlogloss:0.666371+0.022819
## [326] train-mlogloss:0.114084+0.005026 test-mlogloss:0.666912+0.022952
## [327] train-mlogloss:0.113543+0.004965 test-mlogloss:0.667026+0.023000
## [328] train-mlogloss:0.113120+0.004945 test-mlogloss:0.667348+0.022989
## [329] train-mlogloss:0.112581+0.004937 test-mlogloss:0.667829+0.022801
## [330] train-mlogloss:0.112014+0.004890 test-mlogloss:0.668303+0.022943
## [331] train-mlogloss:0.111427+0.004968 test-mlogloss:0.668757+0.022820
## [332] train-mlogloss:0.110944+0.004915 test-mlogloss:0.669280+0.022954
## [333] train-mlogloss:0.110258+0.004775 test-mlogloss:0.669744+0.022694
## [334] train-mlogloss:0.109930+0.004648 test-mlogloss:0.669974+0.022666
## [335] train-mlogloss:0.109472+0.004553 test-mlogloss:0.670182+0.022803
## [336] train-mlogloss:0.109147+0.004484 test-mlogloss:0.670313+0.022946
## [337] train-mlogloss:0.108578+0.004503 test-mlogloss:0.671142+0.022723
## [338] train-mlogloss:0.107876+0.004710 test-mlogloss:0.671581+0.022623
## [339] train-mlogloss:0.107377+0.004892 test-mlogloss:0.671825+0.022505
## [340] train-mlogloss:0.106991+0.004970 test-mlogloss:0.672370+0.022659
## [341] train-mlogloss:0.106484+0.004917 test-mlogloss:0.673104+0.022965
## [342] train-mlogloss:0.106169+0.004999 test-mlogloss:0.673408+0.022761
## [343] train-mlogloss:0.105637+0.005028 test-mlogloss:0.673988+0.022845
## [344] train-mlogloss:0.105095+0.004898 test-mlogloss:0.674751+0.023111
## [345] train-mlogloss:0.104703+0.004683 test-mlogloss:0.675111+0.023274
## [346] train-mlogloss:0.104313+0.004747 test-mlogloss:0.675674+0.023247
## [347] train-mlogloss:0.103910+0.004892 test-mlogloss:0.676210+0.023505
## [348] train-mlogloss:0.103503+0.004879 test-mlogloss:0.676619+0.023349
## [349] train-mlogloss:0.102996+0.004846 test-mlogloss:0.677326+0.023445
## [350] train-mlogloss:0.102752+0.004929 test-mlogloss:0.677628+0.023417
## [351] train-mlogloss:0.102279+0.004791 test-mlogloss:0.678494+0.023532
## [352] train-mlogloss:0.101812+0.004735 test-mlogloss:0.679233+0.023377
## [353] train-mlogloss:0.101531+0.004794 test-mlogloss:0.679130+0.023244
## [354] train-mlogloss:0.101123+0.004773 test-mlogloss:0.679801+0.023219
## [355] train-mlogloss:0.100782+0.004577 test-mlogloss:0.680200+0.023319
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## [357] train-mlogloss:0.100208+0.004419 test-mlogloss:0.680853+0.023499
## [358] train-mlogloss:0.099791+0.004296 test-mlogloss:0.681342+0.023765
## [359] train-mlogloss:0.099371+0.004415 test-mlogloss:0.681740+0.023903
## [360] train-mlogloss:0.099067+0.004369 test-mlogloss:0.682099+0.024026
## [361] train-mlogloss:0.098704+0.004416 test-mlogloss:0.682658+0.023957
## [362] train-mlogloss:0.098419+0.004429 test-mlogloss:0.683132+0.023932
## [363] train-mlogloss:0.098016+0.004308 test-mlogloss:0.683358+0.024026
## [364] train-mlogloss:0.097563+0.004293 test-mlogloss:0.683853+0.024223
## [365] train-mlogloss:0.097101+0.004229 test-mlogloss:0.684456+0.024392
## [366] train-mlogloss:0.096688+0.004107 test-mlogloss:0.684889+0.024355
## [367] train-mlogloss:0.096227+0.004041 test-mlogloss:0.685140+0.024229
## [368] train-mlogloss:0.095840+0.003966 test-mlogloss:0.685418+0.024431
## [369] train-mlogloss:0.095441+0.003877 test-mlogloss:0.685871+0.024483
## [370] train-mlogloss:0.094986+0.003817 test-mlogloss:0.686386+0.024736
## [371] train-mlogloss:0.094481+0.003834 test-mlogloss:0.686949+0.025033
## [372] train-mlogloss:0.094095+0.003885 test-mlogloss:0.687430+0.025048
## [373] train-mlogloss:0.093785+0.003830 test-mlogloss:0.687896+0.024802
## [374] train-mlogloss:0.093417+0.003915 test-mlogloss:0.688376+0.024896
## [375] train-mlogloss:0.093181+0.003939 test-mlogloss:0.688600+0.024826
## [376] train-mlogloss:0.093002+0.004027 test-mlogloss:0.688843+0.024907
## [377] train-mlogloss:0.092776+0.004131 test-mlogloss:0.688821+0.024955
## [378] train-mlogloss:0.092498+0.004108 test-mlogloss:0.689282+0.025026
## [379] train-mlogloss:0.092100+0.004100 test-mlogloss:0.689602+0.025060
## [380] train-mlogloss:0.091709+0.004110 test-mlogloss:0.690002+0.024895
## [381] train-mlogloss:0.091226+0.004211 test-mlogloss:0.690700+0.025060
## [382] train-mlogloss:0.090781+0.004229 test-mlogloss:0.691255+0.025020
## [383] train-mlogloss:0.090467+0.004211 test-mlogloss:0.691944+0.024993
## [384] train-mlogloss:0.089999+0.004230 test-mlogloss:0.692533+0.024716
## [385] train-mlogloss:0.089636+0.004074 test-mlogloss:0.692894+0.024563
## [386] train-mlogloss:0.089280+0.003916 test-mlogloss:0.693575+0.024276
## [387] train-mlogloss:0.089019+0.003862 test-mlogloss:0.693874+0.024421
## [388] train-mlogloss:0.088729+0.003933 test-mlogloss:0.694094+0.024559
## [389] train-mlogloss:0.088425+0.004004 test-mlogloss:0.694521+0.024502
## [390] train-mlogloss:0.088100+0.003873 test-mlogloss:0.694689+0.024418
## [391] train-mlogloss:0.087557+0.003878 test-mlogloss:0.694980+0.024595
## [392] train-mlogloss:0.087235+0.004026 test-mlogloss:0.695212+0.024457
## [393] train-mlogloss:0.086734+0.004149 test-mlogloss:0.695873+0.024660
## [394] train-mlogloss:0.086299+0.004059 test-mlogloss:0.696385+0.024640
## [395] train-mlogloss:0.085907+0.004070 test-mlogloss:0.696835+0.024856
## [396] train-mlogloss:0.085513+0.004083 test-mlogloss:0.697294+0.024710
## [397] train-mlogloss:0.085249+0.004016 test-mlogloss:0.697963+0.024728
## [398] train-mlogloss:0.085009+0.004000 test-mlogloss:0.697965+0.024702
## [399] train-mlogloss:0.084770+0.003973 test-mlogloss:0.698434+0.024658
## [400] train-mlogloss:0.084375+0.003911 test-mlogloss:0.699353+0.024346
## [401] train-mlogloss:0.084202+0.003886 test-mlogloss:0.699609+0.024316
## [402] train-mlogloss:0.083865+0.003925 test-mlogloss:0.700150+0.024333
## [403] train-mlogloss:0.083595+0.003855 test-mlogloss:0.700480+0.024454
## [404] train-mlogloss:0.083294+0.003807 test-mlogloss:0.700480+0.024686
## [405] train-mlogloss:0.082962+0.003737 test-mlogloss:0.700855+0.024551
## [406] train-mlogloss:0.082602+0.003664 test-mlogloss:0.701245+0.024449
## [407] train-mlogloss:0.082408+0.003597 test-mlogloss:0.701608+0.024141
## [408] train-mlogloss:0.082098+0.003770 test-mlogloss:0.702060+0.024186
## [409] train-mlogloss:0.081921+0.003868 test-mlogloss:0.702261+0.024121
## [410] train-mlogloss:0.081664+0.003941 test-mlogloss:0.702682+0.024196
## [411] train-mlogloss:0.081359+0.003963 test-mlogloss:0.703187+0.024423
## [412] train-mlogloss:0.081165+0.003916 test-mlogloss:0.703614+0.024601
## [413] train-mlogloss:0.080931+0.003922 test-mlogloss:0.704144+0.024627
## [414] train-mlogloss:0.080542+0.003902 test-mlogloss:0.704648+0.024424
## [415] train-mlogloss:0.080384+0.003839 test-mlogloss:0.704764+0.024451
## [416] train-mlogloss:0.080064+0.003709 test-mlogloss:0.705024+0.024436
## [417] train-mlogloss:0.079738+0.003611 test-mlogloss:0.705329+0.024634
## [418] train-mlogloss:0.079487+0.003655 test-mlogloss:0.705650+0.024592
## [419] train-mlogloss:0.079311+0.003679 test-mlogloss:0.706031+0.024718
## [420] train-mlogloss:0.078984+0.003607 test-mlogloss:0.706460+0.024328
## [421] train-mlogloss:0.078594+0.003659 test-mlogloss:0.707185+0.024501
## [422] train-mlogloss:0.078248+0.003649 test-mlogloss:0.707457+0.024308
## [423] train-mlogloss:0.077941+0.003696 test-mlogloss:0.707567+0.024355
## [424] train-mlogloss:0.077651+0.003787 test-mlogloss:0.708141+0.024622
## [425] train-mlogloss:0.077342+0.003750 test-mlogloss:0.708284+0.024675
## [426] train-mlogloss:0.077121+0.003722 test-mlogloss:0.708705+0.024789
## [427] train-mlogloss:0.076802+0.003742 test-mlogloss:0.708859+0.024410
## [428] train-mlogloss:0.076607+0.003734 test-mlogloss:0.709175+0.024484
## [429] train-mlogloss:0.076359+0.003792 test-mlogloss:0.709516+0.024447
## [430] train-mlogloss:0.076035+0.003747 test-mlogloss:0.709733+0.024359
## [431] train-mlogloss:0.075742+0.003642 test-mlogloss:0.710148+0.023783
## [432] train-mlogloss:0.075469+0.003481 test-mlogloss:0.710694+0.023702
## [433] train-mlogloss:0.075180+0.003286 test-mlogloss:0.711126+0.023638
## [434] train-mlogloss:0.074904+0.003295 test-mlogloss:0.712044+0.023785
## [435] train-mlogloss:0.074727+0.003265 test-mlogloss:0.712545+0.023613
## [436] train-mlogloss:0.074432+0.003171 test-mlogloss:0.712941+0.023534
## [437] train-mlogloss:0.074100+0.003145 test-mlogloss:0.713619+0.023693
## [438] train-mlogloss:0.073755+0.003206 test-mlogloss:0.713950+0.023788
## [439] train-mlogloss:0.073333+0.003133 test-mlogloss:0.714951+0.023803
## [440] train-mlogloss:0.072927+0.003190 test-mlogloss:0.715222+0.023633
## [441] train-mlogloss:0.072594+0.003219 test-mlogloss:0.715715+0.023461
## [442] train-mlogloss:0.072220+0.003282 test-mlogloss:0.716138+0.023483
## [443] train-mlogloss:0.071785+0.003196 test-mlogloss:0.716692+0.023150
## [444] train-mlogloss:0.071530+0.003137 test-mlogloss:0.716892+0.023177
## [445] train-mlogloss:0.071257+0.003142 test-mlogloss:0.717370+0.023345
## [446] train-mlogloss:0.071080+0.003150 test-mlogloss:0.717527+0.023433
## [447] train-mlogloss:0.070876+0.003154 test-mlogloss:0.717820+0.023621
## [448] train-mlogloss:0.070567+0.003229 test-mlogloss:0.718139+0.023760
## [449] train-mlogloss:0.070470+0.003224 test-mlogloss:0.718418+0.023860
## [450] train-mlogloss:0.070163+0.003208 test-mlogloss:0.718967+0.023990
## [451] train-mlogloss:0.069880+0.003172 test-mlogloss:0.719210+0.024039
## [452] train-mlogloss:0.069669+0.003224 test-mlogloss:0.719526+0.023874
## [453] train-mlogloss:0.069421+0.003285 test-mlogloss:0.720003+0.023986
## [454] train-mlogloss:0.069032+0.003199 test-mlogloss:0.720620+0.024062
## [455] train-mlogloss:0.068794+0.003196 test-mlogloss:0.720611+0.024132
## [456] train-mlogloss:0.068681+0.003143 test-mlogloss:0.721291+0.024089
## [457] train-mlogloss:0.068407+0.003077 test-mlogloss:0.721685+0.024113
## [458] train-mlogloss:0.068149+0.002970 test-mlogloss:0.721912+0.023806
## [459] train-mlogloss:0.067984+0.002941 test-mlogloss:0.722233+0.023823
## [460] train-mlogloss:0.067629+0.002970 test-mlogloss:0.722812+0.023701
## [461] train-mlogloss:0.067348+0.002959 test-mlogloss:0.723224+0.023735
## [462] train-mlogloss:0.067038+0.003032 test-mlogloss:0.723636+0.023618
## [463] train-mlogloss:0.066841+0.003037 test-mlogloss:0.724075+0.023131
## [464] train-mlogloss:0.066636+0.003016 test-mlogloss:0.724574+0.023374
## [465] train-mlogloss:0.066389+0.003041 test-mlogloss:0.725267+0.023333
## [466] train-mlogloss:0.066153+0.002928 test-mlogloss:0.725636+0.023279
## [467] train-mlogloss:0.065919+0.002929 test-mlogloss:0.726034+0.023455
## [468] train-mlogloss:0.065709+0.002902 test-mlogloss:0.726563+0.023622
## [469] train-mlogloss:0.065451+0.002901 test-mlogloss:0.726827+0.023895
## [470] train-mlogloss:0.065100+0.002859 test-mlogloss:0.727156+0.023860
## [471] train-mlogloss:0.064757+0.002885 test-mlogloss:0.727535+0.023886
## [472] train-mlogloss:0.064430+0.002864 test-mlogloss:0.727905+0.023947
## [473] train-mlogloss:0.064084+0.002803 test-mlogloss:0.728241+0.024037
## [474] train-mlogloss:0.063752+0.002861 test-mlogloss:0.728591+0.024144
## [475] train-mlogloss:0.063449+0.002923 test-mlogloss:0.728931+0.024299
## [476] train-mlogloss:0.063195+0.002927 test-mlogloss:0.729645+0.024489
## [477] train-mlogloss:0.063005+0.002963 test-mlogloss:0.730261+0.024735
## [478] train-mlogloss:0.062777+0.003080 test-mlogloss:0.730494+0.024757
## [479] train-mlogloss:0.062652+0.003182 test-mlogloss:0.730917+0.024880
## [480] train-mlogloss:0.062471+0.003205 test-mlogloss:0.731242+0.024951
## [481] train-mlogloss:0.062296+0.003132 test-mlogloss:0.731484+0.025026
## [482] train-mlogloss:0.061908+0.003089 test-mlogloss:0.731891+0.024765
## [483] train-mlogloss:0.061608+0.003043 test-mlogloss:0.732133+0.025030
## [484] train-mlogloss:0.061364+0.003044 test-mlogloss:0.732704+0.025196
## [485] train-mlogloss:0.061184+0.003051 test-mlogloss:0.733097+0.025324
## [486] train-mlogloss:0.060949+0.003088 test-mlogloss:0.733831+0.025177
## [487] train-mlogloss:0.060678+0.003080 test-mlogloss:0.734641+0.025383
## [488] train-mlogloss:0.060471+0.003098 test-mlogloss:0.735311+0.025495
## [489] train-mlogloss:0.060194+0.003035 test-mlogloss:0.735682+0.025687
## [490] train-mlogloss:0.059848+0.003067 test-mlogloss:0.736431+0.025834
## [491] train-mlogloss:0.059576+0.003117 test-mlogloss:0.737101+0.025891
## [492] train-mlogloss:0.059318+0.003083 test-mlogloss:0.737551+0.025972
## [493] train-mlogloss:0.059109+0.003032 test-mlogloss:0.737911+0.025914
## [494] train-mlogloss:0.058877+0.002956 test-mlogloss:0.738332+0.025681
## [495] train-mlogloss:0.058664+0.002999 test-mlogloss:0.739028+0.025748
## [496] train-mlogloss:0.058445+0.002953 test-mlogloss:0.739387+0.025660
## [497] train-mlogloss:0.058268+0.002885 test-mlogloss:0.739810+0.025815
## [498] train-mlogloss:0.057973+0.002774 test-mlogloss:0.740451+0.025656
## [499] train-mlogloss:0.057840+0.002750 test-mlogloss:0.740966+0.025508
## [500] train-mlogloss:0.057708+0.002742 test-mlogloss:0.741321+0.025501
## [1] train-mlogloss:0.513311+0.003553 test-mlogloss:0.632388+0.003599
## [2] train-mlogloss:0.405258+0.002694 test-mlogloss:0.602286+0.004187
## [3] train-mlogloss:0.326860+0.002127 test-mlogloss:0.587230+0.003662
## [4] train-mlogloss:0.266193+0.002069 test-mlogloss:0.578602+0.007628
## [5] train-mlogloss:0.219997+0.002098 test-mlogloss:0.576842+0.009298
## [6] train-mlogloss:0.185625+0.001445 test-mlogloss:0.576808+0.010914
## [7] train-mlogloss:0.158938+0.001400 test-mlogloss:0.581567+0.012112
## [8] train-mlogloss:0.137691+0.001375 test-mlogloss:0.585673+0.013837
## [9] train-mlogloss:0.120404+0.001421 test-mlogloss:0.590973+0.013374
## [10] train-mlogloss:0.106342+0.001245 test-mlogloss:0.594725+0.013623
## [11] train-mlogloss:0.095560+0.001053 test-mlogloss:0.599177+0.014337
## [12] train-mlogloss:0.086070+0.000861 test-mlogloss:0.604454+0.014015
## [13] train-mlogloss:0.078217+0.000807 test-mlogloss:0.610694+0.015038
## [14] train-mlogloss:0.071711+0.001018 test-mlogloss:0.615938+0.015030
## [15] train-mlogloss:0.066067+0.000811 test-mlogloss:0.620797+0.015243
## [16] train-mlogloss:0.061554+0.000883 test-mlogloss:0.625788+0.015896
## [17] train-mlogloss:0.057615+0.000888 test-mlogloss:0.631271+0.015509
## [18] train-mlogloss:0.054352+0.001152 test-mlogloss:0.635283+0.016039
## [19] train-mlogloss:0.051442+0.001444 test-mlogloss:0.639365+0.015980
## [20] train-mlogloss:0.048537+0.001295 test-mlogloss:0.643816+0.016408
## [21] train-mlogloss:0.046607+0.001435 test-mlogloss:0.647274+0.016928
## [22] train-mlogloss:0.044631+0.001478 test-mlogloss:0.650543+0.016039
## [23] train-mlogloss:0.043015+0.001680 test-mlogloss:0.653919+0.016093
## [24] train-mlogloss:0.041477+0.001613 test-mlogloss:0.656878+0.016424
## [25] train-mlogloss:0.039801+0.001626 test-mlogloss:0.660960+0.016550
## [26] train-mlogloss:0.038542+0.001798 test-mlogloss:0.663593+0.016380
## [27] train-mlogloss:0.037115+0.001654 test-mlogloss:0.666023+0.016146
## [28] train-mlogloss:0.035886+0.001710 test-mlogloss:0.668326+0.016587
## [29] train-mlogloss:0.034500+0.001720 test-mlogloss:0.671928+0.016434
## [30] train-mlogloss:0.033182+0.001463 test-mlogloss:0.675035+0.017379
## [31] train-mlogloss:0.032172+0.001238 test-mlogloss:0.678004+0.018500
## [32] train-mlogloss:0.031197+0.001298 test-mlogloss:0.681251+0.019387
## [33] train-mlogloss:0.030411+0.001147 test-mlogloss:0.683954+0.020205
## [34] train-mlogloss:0.029773+0.001203 test-mlogloss:0.685834+0.020278
## [35] train-mlogloss:0.028867+0.001228 test-mlogloss:0.688413+0.020519
## [36] train-mlogloss:0.028047+0.001278 test-mlogloss:0.690603+0.020548
## [37] train-mlogloss:0.027341+0.001286 test-mlogloss:0.692486+0.020322
## [38] train-mlogloss:0.026520+0.001200 test-mlogloss:0.695559+0.020878
## [39] train-mlogloss:0.025678+0.001183 test-mlogloss:0.697621+0.020957
## [40] train-mlogloss:0.025004+0.000999 test-mlogloss:0.699324+0.021071
## [41] train-mlogloss:0.024260+0.000859 test-mlogloss:0.702922+0.021459
## [42] train-mlogloss:0.023791+0.000766 test-mlogloss:0.704188+0.021791
## [43] train-mlogloss:0.023230+0.000811 test-mlogloss:0.706585+0.021102
## [44] train-mlogloss:0.022593+0.000818 test-mlogloss:0.708838+0.021639
## [45] train-mlogloss:0.022078+0.000768 test-mlogloss:0.710812+0.021563
## [46] train-mlogloss:0.021486+0.000672 test-mlogloss:0.712515+0.021413
## [47] train-mlogloss:0.020896+0.000610 test-mlogloss:0.715745+0.022191
## [48] train-mlogloss:0.020431+0.000454 test-mlogloss:0.718087+0.022267
## [49] train-mlogloss:0.020024+0.000519 test-mlogloss:0.720424+0.021832
## [50] train-mlogloss:0.019659+0.000599 test-mlogloss:0.722295+0.022411
## [51] train-mlogloss:0.019216+0.000592 test-mlogloss:0.724358+0.022552
## [52] train-mlogloss:0.018833+0.000619 test-mlogloss:0.726354+0.022470
## [53] train-mlogloss:0.018489+0.000608 test-mlogloss:0.727994+0.022891
## [54] train-mlogloss:0.018219+0.000593 test-mlogloss:0.729592+0.022921
## [55] train-mlogloss:0.017985+0.000585 test-mlogloss:0.730920+0.022978
## [56] train-mlogloss:0.017677+0.000611 test-mlogloss:0.732369+0.022600
## [57] train-mlogloss:0.017317+0.000593 test-mlogloss:0.734968+0.022991
## [58] train-mlogloss:0.017034+0.000584 test-mlogloss:0.736669+0.023120
## [59] train-mlogloss:0.016672+0.000571 test-mlogloss:0.738561+0.023395
## [60] train-mlogloss:0.016393+0.000515 test-mlogloss:0.740298+0.023264
## [61] train-mlogloss:0.016077+0.000511 test-mlogloss:0.742269+0.023019
## [62] train-mlogloss:0.015795+0.000533 test-mlogloss:0.744722+0.023111
## [63] train-mlogloss:0.015563+0.000487 test-mlogloss:0.745952+0.023191
## [64] train-mlogloss:0.015325+0.000507 test-mlogloss:0.747364+0.023050
## [65] train-mlogloss:0.015085+0.000482 test-mlogloss:0.749401+0.023480
## [66] train-mlogloss:0.014868+0.000495 test-mlogloss:0.750986+0.023570
## [67] train-mlogloss:0.014625+0.000454 test-mlogloss:0.752159+0.023791
## [68] train-mlogloss:0.014423+0.000479 test-mlogloss:0.753485+0.023722
## [69] train-mlogloss:0.014184+0.000456 test-mlogloss:0.755349+0.023564
## [70] train-mlogloss:0.013983+0.000455 test-mlogloss:0.756748+0.023496
## [71] train-mlogloss:0.013774+0.000456 test-mlogloss:0.758372+0.023530
## [72] train-mlogloss:0.013593+0.000415 test-mlogloss:0.759878+0.023564
## [73] train-mlogloss:0.013409+0.000407 test-mlogloss:0.761231+0.023837
## [74] train-mlogloss:0.013233+0.000368 test-mlogloss:0.763050+0.024389
## [75] train-mlogloss:0.013043+0.000357 test-mlogloss:0.764752+0.024676
## [76] train-mlogloss:0.012887+0.000371 test-mlogloss:0.766228+0.024485
## [77] train-mlogloss:0.012722+0.000341 test-mlogloss:0.767460+0.024827
## [78] train-mlogloss:0.012578+0.000376 test-mlogloss:0.769088+0.025181
## [79] train-mlogloss:0.012397+0.000390 test-mlogloss:0.770522+0.025001
## [80] train-mlogloss:0.012277+0.000387 test-mlogloss:0.771562+0.025041
## [81] train-mlogloss:0.012130+0.000396 test-mlogloss:0.772831+0.024582
## [82] train-mlogloss:0.011991+0.000399 test-mlogloss:0.774206+0.024819
## [83] train-mlogloss:0.011846+0.000402 test-mlogloss:0.775795+0.024972
## [84] train-mlogloss:0.011704+0.000387 test-mlogloss:0.777311+0.024773
## [85] train-mlogloss:0.011579+0.000363 test-mlogloss:0.778347+0.024947
## [86] train-mlogloss:0.011457+0.000371 test-mlogloss:0.779570+0.024965
## [87] train-mlogloss:0.011318+0.000358 test-mlogloss:0.781027+0.025051
## [88] train-mlogloss:0.011188+0.000350 test-mlogloss:0.782271+0.024842
## [89] train-mlogloss:0.011080+0.000357 test-mlogloss:0.783352+0.024595
## [90] train-mlogloss:0.010968+0.000362 test-mlogloss:0.784495+0.024677
## [91] train-mlogloss:0.010846+0.000367 test-mlogloss:0.785600+0.024657
## [92] train-mlogloss:0.010741+0.000328 test-mlogloss:0.786834+0.024957
## [93] train-mlogloss:0.010629+0.000309 test-mlogloss:0.788517+0.025019
## [94] train-mlogloss:0.010545+0.000282 test-mlogloss:0.789565+0.024867
## [95] train-mlogloss:0.010434+0.000278 test-mlogloss:0.790586+0.024817
## [96] train-mlogloss:0.010344+0.000283 test-mlogloss:0.791571+0.024917
## [97] train-mlogloss:0.010235+0.000270 test-mlogloss:0.792707+0.025069
## [98] train-mlogloss:0.010115+0.000254 test-mlogloss:0.793850+0.025109
## [99] train-mlogloss:0.010003+0.000253 test-mlogloss:0.795503+0.024687
## [100] train-mlogloss:0.009901+0.000252 test-mlogloss:0.796824+0.025022
## [101] train-mlogloss:0.009823+0.000246 test-mlogloss:0.797733+0.025346
## [102] train-mlogloss:0.009749+0.000233 test-mlogloss:0.798766+0.025343
## [103] train-mlogloss:0.009655+0.000237 test-mlogloss:0.800161+0.025718
## [104] train-mlogloss:0.009572+0.000245 test-mlogloss:0.800715+0.025772
## [105] train-mlogloss:0.009474+0.000236 test-mlogloss:0.802114+0.025527
## [106] train-mlogloss:0.009385+0.000224 test-mlogloss:0.803205+0.025590
## [107] train-mlogloss:0.009295+0.000210 test-mlogloss:0.803944+0.025623
## [108] train-mlogloss:0.009211+0.000195 test-mlogloss:0.804980+0.025791
## [109] train-mlogloss:0.009134+0.000201 test-mlogloss:0.806055+0.025976
## [110] train-mlogloss:0.009070+0.000200 test-mlogloss:0.806518+0.025803
## [111] train-mlogloss:0.008998+0.000194 test-mlogloss:0.807277+0.025828
## [112] train-mlogloss:0.008930+0.000190 test-mlogloss:0.808454+0.025861
## [113] train-mlogloss:0.008867+0.000178 test-mlogloss:0.809198+0.025997
## [114] train-mlogloss:0.008785+0.000178 test-mlogloss:0.810646+0.025868
## [115] train-mlogloss:0.008707+0.000175 test-mlogloss:0.811818+0.025997
## [116] train-mlogloss:0.008630+0.000167 test-mlogloss:0.812934+0.026137
## [117] train-mlogloss:0.008557+0.000160 test-mlogloss:0.813974+0.026188
## [118] train-mlogloss:0.008488+0.000158 test-mlogloss:0.815156+0.026050
## [119] train-mlogloss:0.008415+0.000164 test-mlogloss:0.816015+0.026003
## [120] train-mlogloss:0.008345+0.000166 test-mlogloss:0.817022+0.025914
## [121] train-mlogloss:0.008279+0.000164 test-mlogloss:0.818004+0.026022
## [122] train-mlogloss:0.008207+0.000161 test-mlogloss:0.819264+0.026243
## [123] train-mlogloss:0.008139+0.000156 test-mlogloss:0.820234+0.026491
## [124] train-mlogloss:0.008074+0.000157 test-mlogloss:0.821329+0.026359
## [125] train-mlogloss:0.008004+0.000155 test-mlogloss:0.822114+0.026315
## [126] train-mlogloss:0.007938+0.000154 test-mlogloss:0.823168+0.026276
## [127] train-mlogloss:0.007877+0.000153 test-mlogloss:0.824288+0.026508
## [128] train-mlogloss:0.007828+0.000147 test-mlogloss:0.825055+0.026380
## [129] train-mlogloss:0.007774+0.000145 test-mlogloss:0.825730+0.026375
## [130] train-mlogloss:0.007715+0.000142 test-mlogloss:0.826676+0.026198
## [131] train-mlogloss:0.007652+0.000138 test-mlogloss:0.827640+0.026124
## [132] train-mlogloss:0.007589+0.000138 test-mlogloss:0.828472+0.026320
## [133] train-mlogloss:0.007530+0.000139 test-mlogloss:0.829477+0.026639
## [134] train-mlogloss:0.007472+0.000141 test-mlogloss:0.830454+0.026698
## [135] train-mlogloss:0.007419+0.000139 test-mlogloss:0.831565+0.026870
## [136] train-mlogloss:0.007364+0.000131 test-mlogloss:0.832360+0.026740
## [137] train-mlogloss:0.007312+0.000127 test-mlogloss:0.833122+0.026982
## [138] train-mlogloss:0.007259+0.000127 test-mlogloss:0.834238+0.026976
## [139] train-mlogloss:0.007207+0.000118 test-mlogloss:0.834965+0.026805
## [140] train-mlogloss:0.007154+0.000115 test-mlogloss:0.835637+0.026774
## [141] train-mlogloss:0.007106+0.000116 test-mlogloss:0.836398+0.026603
## [142] train-mlogloss:0.007059+0.000110 test-mlogloss:0.837186+0.026486
## [143] train-mlogloss:0.007013+0.000106 test-mlogloss:0.837787+0.026738
## [144] train-mlogloss:0.006967+0.000107 test-mlogloss:0.838614+0.026750
## [145] train-mlogloss:0.006919+0.000106 test-mlogloss:0.839314+0.026674
## [146] train-mlogloss:0.006875+0.000101 test-mlogloss:0.840248+0.026713
## [147] train-mlogloss:0.006833+0.000098 test-mlogloss:0.840918+0.026928
## [148] train-mlogloss:0.006791+0.000097 test-mlogloss:0.841730+0.026647
## [149] train-mlogloss:0.006746+0.000099 test-mlogloss:0.842800+0.026592
## [150] train-mlogloss:0.006712+0.000097 test-mlogloss:0.843143+0.026613
## [151] train-mlogloss:0.006674+0.000098 test-mlogloss:0.843807+0.026591
## [152] train-mlogloss:0.006641+0.000099 test-mlogloss:0.844536+0.026567
## [153] train-mlogloss:0.006598+0.000097 test-mlogloss:0.845289+0.026737
## [154] train-mlogloss:0.006556+0.000094 test-mlogloss:0.846253+0.026739
## [155] train-mlogloss:0.006518+0.000098 test-mlogloss:0.847223+0.026715
## [156] train-mlogloss:0.006476+0.000098 test-mlogloss:0.847817+0.027046
## [157] train-mlogloss:0.006436+0.000091 test-mlogloss:0.848714+0.027053
## [158] train-mlogloss:0.006399+0.000086 test-mlogloss:0.849399+0.027098
## [159] train-mlogloss:0.006362+0.000084 test-mlogloss:0.850279+0.026971
## [160] train-mlogloss:0.006323+0.000084 test-mlogloss:0.851151+0.027233
## [161] train-mlogloss:0.006289+0.000082 test-mlogloss:0.851489+0.027322
## [162] train-mlogloss:0.006253+0.000081 test-mlogloss:0.852151+0.027326
## [163] train-mlogloss:0.006214+0.000079 test-mlogloss:0.853040+0.027091
## [164] train-mlogloss:0.006178+0.000078 test-mlogloss:0.853930+0.027228
## [165] train-mlogloss:0.006142+0.000079 test-mlogloss:0.854504+0.027279
## [166] train-mlogloss:0.006108+0.000076 test-mlogloss:0.855142+0.027601
## [167] train-mlogloss:0.006071+0.000074 test-mlogloss:0.856039+0.027582
## [168] train-mlogloss:0.006037+0.000074 test-mlogloss:0.856781+0.027485
## [169] train-mlogloss:0.006008+0.000072 test-mlogloss:0.857438+0.027276
## [170] train-mlogloss:0.005974+0.000072 test-mlogloss:0.858152+0.027495
## [171] train-mlogloss:0.005941+0.000071 test-mlogloss:0.858733+0.027424
## [172] train-mlogloss:0.005907+0.000070 test-mlogloss:0.859258+0.027289
## [173] train-mlogloss:0.005875+0.000065 test-mlogloss:0.860166+0.027220
## [174] train-mlogloss:0.005846+0.000066 test-mlogloss:0.860664+0.027378
## [175] train-mlogloss:0.005815+0.000066 test-mlogloss:0.861403+0.027547
## [176] train-mlogloss:0.005786+0.000067 test-mlogloss:0.862132+0.027416
## [177] train-mlogloss:0.005756+0.000065 test-mlogloss:0.862976+0.027563
## [178] train-mlogloss:0.005724+0.000065 test-mlogloss:0.863902+0.027679
## [179] train-mlogloss:0.005694+0.000063 test-mlogloss:0.864541+0.027656
## [180] train-mlogloss:0.005665+0.000063 test-mlogloss:0.865162+0.027629
## [181] train-mlogloss:0.005636+0.000059 test-mlogloss:0.866031+0.027701
## [182] train-mlogloss:0.005609+0.000059 test-mlogloss:0.866784+0.027723
## [183] train-mlogloss:0.005580+0.000055 test-mlogloss:0.867556+0.027862
## [184] train-mlogloss:0.005556+0.000057 test-mlogloss:0.868159+0.027971
## [185] train-mlogloss:0.005528+0.000056 test-mlogloss:0.869061+0.027790
## [186] train-mlogloss:0.005501+0.000055 test-mlogloss:0.869771+0.027771
## [187] train-mlogloss:0.005474+0.000054 test-mlogloss:0.870493+0.027839
## [188] train-mlogloss:0.005449+0.000060 test-mlogloss:0.871046+0.027937
## [189] train-mlogloss:0.005421+0.000059 test-mlogloss:0.871832+0.027852
## [190] train-mlogloss:0.005394+0.000060 test-mlogloss:0.872745+0.028081
## [191] train-mlogloss:0.005368+0.000060 test-mlogloss:0.873375+0.028104
## [192] train-mlogloss:0.005343+0.000061 test-mlogloss:0.874158+0.028275
## [193] train-mlogloss:0.005317+0.000059 test-mlogloss:0.874828+0.028356
## [194] train-mlogloss:0.005292+0.000059 test-mlogloss:0.875389+0.028334
## [195] train-mlogloss:0.005268+0.000060 test-mlogloss:0.876126+0.028500
## [196] train-mlogloss:0.005243+0.000059 test-mlogloss:0.876781+0.028482
## [197] train-mlogloss:0.005216+0.000058 test-mlogloss:0.877431+0.028674
## [198] train-mlogloss:0.005193+0.000056 test-mlogloss:0.878082+0.028723
## [199] train-mlogloss:0.005170+0.000056 test-mlogloss:0.878760+0.028982
## [200] train-mlogloss:0.005147+0.000055 test-mlogloss:0.879515+0.029154
## [201] train-mlogloss:0.005125+0.000053 test-mlogloss:0.880191+0.029346
## [202] train-mlogloss:0.005101+0.000053 test-mlogloss:0.880744+0.029146
## [203] train-mlogloss:0.005078+0.000051 test-mlogloss:0.881548+0.029110
## [204] train-mlogloss:0.005057+0.000049 test-mlogloss:0.882001+0.029016
## [205] train-mlogloss:0.005037+0.000048 test-mlogloss:0.882436+0.028880
## [206] train-mlogloss:0.005013+0.000048 test-mlogloss:0.883006+0.029034
## [207] train-mlogloss:0.004992+0.000048 test-mlogloss:0.883472+0.029075
## [208] train-mlogloss:0.004970+0.000048 test-mlogloss:0.884082+0.028986
## [209] train-mlogloss:0.004949+0.000048 test-mlogloss:0.884544+0.029193
## [210] train-mlogloss:0.004927+0.000049 test-mlogloss:0.885030+0.029026
## [211] train-mlogloss:0.004906+0.000049 test-mlogloss:0.885687+0.029083
## [212] train-mlogloss:0.004887+0.000049 test-mlogloss:0.886307+0.029157
## [213] train-mlogloss:0.004866+0.000051 test-mlogloss:0.886938+0.029079
## [214] train-mlogloss:0.004846+0.000050 test-mlogloss:0.887545+0.029260
## [215] train-mlogloss:0.004825+0.000048 test-mlogloss:0.888148+0.029290
## [216] train-mlogloss:0.004804+0.000048 test-mlogloss:0.888847+0.029233
## [217] train-mlogloss:0.004784+0.000049 test-mlogloss:0.889280+0.029253
## [218] train-mlogloss:0.004763+0.000047 test-mlogloss:0.889880+0.029202
## [219] train-mlogloss:0.004744+0.000046 test-mlogloss:0.890378+0.029240
## [220] train-mlogloss:0.004725+0.000045 test-mlogloss:0.890840+0.029430
## [221] train-mlogloss:0.004706+0.000046 test-mlogloss:0.891523+0.029616
## [222] train-mlogloss:0.004686+0.000045 test-mlogloss:0.892099+0.029733
## [223] train-mlogloss:0.004670+0.000044 test-mlogloss:0.892652+0.029782
## [224] train-mlogloss:0.004652+0.000045 test-mlogloss:0.893155+0.029729
## [225] train-mlogloss:0.004635+0.000044 test-mlogloss:0.893561+0.029992
## [226] train-mlogloss:0.004617+0.000044 test-mlogloss:0.894085+0.030147
## [227] train-mlogloss:0.004600+0.000043 test-mlogloss:0.894811+0.030055
## [228] train-mlogloss:0.004581+0.000042 test-mlogloss:0.895346+0.030016
## [229] train-mlogloss:0.004563+0.000042 test-mlogloss:0.896024+0.029932
## [230] train-mlogloss:0.004547+0.000042 test-mlogloss:0.896716+0.030192
## [231] train-mlogloss:0.004530+0.000043 test-mlogloss:0.897248+0.030279
## [232] train-mlogloss:0.004513+0.000044 test-mlogloss:0.897697+0.030178
## [233] train-mlogloss:0.004495+0.000044 test-mlogloss:0.898284+0.030149
## [234] train-mlogloss:0.004478+0.000044 test-mlogloss:0.898811+0.030160
## [235] train-mlogloss:0.004462+0.000044 test-mlogloss:0.899388+0.030008
## [236] train-mlogloss:0.004445+0.000042 test-mlogloss:0.899752+0.029872
## [237] train-mlogloss:0.004428+0.000043 test-mlogloss:0.900165+0.029827
## [238] train-mlogloss:0.004413+0.000043 test-mlogloss:0.900655+0.029673
## [239] train-mlogloss:0.004397+0.000043 test-mlogloss:0.901266+0.029740
## [240] train-mlogloss:0.004382+0.000043 test-mlogloss:0.901999+0.029870
## [241] train-mlogloss:0.004367+0.000042 test-mlogloss:0.902461+0.029898
## [242] train-mlogloss:0.004351+0.000041 test-mlogloss:0.903037+0.029882
## [243] train-mlogloss:0.004336+0.000041 test-mlogloss:0.903605+0.030078
## [244] train-mlogloss:0.004321+0.000040 test-mlogloss:0.904078+0.030090
## [245] train-mlogloss:0.004304+0.000039 test-mlogloss:0.904608+0.030080
## [246] train-mlogloss:0.004289+0.000039 test-mlogloss:0.905160+0.030095
## [247] train-mlogloss:0.004274+0.000039 test-mlogloss:0.905854+0.030093
## [248] train-mlogloss:0.004260+0.000038 test-mlogloss:0.906284+0.030022
## [249] train-mlogloss:0.004245+0.000037 test-mlogloss:0.906752+0.030126
## [250] train-mlogloss:0.004230+0.000037 test-mlogloss:0.907188+0.030274
## [251] train-mlogloss:0.004216+0.000036 test-mlogloss:0.907897+0.030427
## [252] train-mlogloss:0.004201+0.000036 test-mlogloss:0.908377+0.030669
## [253] train-mlogloss:0.004187+0.000037 test-mlogloss:0.908905+0.030696
## [254] train-mlogloss:0.004173+0.000037 test-mlogloss:0.909411+0.030754
## [255] train-mlogloss:0.004159+0.000036 test-mlogloss:0.909720+0.030652
## [256] train-mlogloss:0.004144+0.000034 test-mlogloss:0.910269+0.030691
## [257] train-mlogloss:0.004131+0.000034 test-mlogloss:0.910746+0.030379
## [258] train-mlogloss:0.004117+0.000034 test-mlogloss:0.911043+0.030305
## [259] train-mlogloss:0.004104+0.000034 test-mlogloss:0.911572+0.030387
## [260] train-mlogloss:0.004091+0.000034 test-mlogloss:0.911808+0.030351
## [261] train-mlogloss:0.004077+0.000035 test-mlogloss:0.912284+0.030570
## [262] train-mlogloss:0.004064+0.000035 test-mlogloss:0.912719+0.030700
## [263] train-mlogloss:0.004050+0.000035 test-mlogloss:0.913370+0.030822
## [264] train-mlogloss:0.004037+0.000034 test-mlogloss:0.914058+0.031027
## [265] train-mlogloss:0.004024+0.000034 test-mlogloss:0.914579+0.030973
## [266] train-mlogloss:0.004013+0.000033 test-mlogloss:0.915089+0.030949
## [267] train-mlogloss:0.004001+0.000033 test-mlogloss:0.915454+0.030912
## [268] train-mlogloss:0.003988+0.000032 test-mlogloss:0.915869+0.031036
## [269] train-mlogloss:0.003976+0.000032 test-mlogloss:0.916365+0.031154
## [270] train-mlogloss:0.003964+0.000033 test-mlogloss:0.916924+0.031292
## [271] train-mlogloss:0.003952+0.000032 test-mlogloss:0.917285+0.031265
## [272] train-mlogloss:0.003941+0.000032 test-mlogloss:0.917497+0.031276
## [273] train-mlogloss:0.003929+0.000033 test-mlogloss:0.917903+0.031363
## [274] train-mlogloss:0.003917+0.000032 test-mlogloss:0.918248+0.031495
## [275] train-mlogloss:0.003906+0.000031 test-mlogloss:0.918685+0.031426
## [276] train-mlogloss:0.003894+0.000030 test-mlogloss:0.919020+0.031525
## [277] train-mlogloss:0.003881+0.000031 test-mlogloss:0.919414+0.031367
## [278] train-mlogloss:0.003871+0.000030 test-mlogloss:0.919792+0.031317
## [279] train-mlogloss:0.003859+0.000030 test-mlogloss:0.920442+0.031236
## [280] train-mlogloss:0.003848+0.000030 test-mlogloss:0.920925+0.031276
## [281] train-mlogloss:0.003836+0.000030 test-mlogloss:0.921368+0.031332
## [282] train-mlogloss:0.003826+0.000029 test-mlogloss:0.921705+0.031363
## [283] train-mlogloss:0.003814+0.000029 test-mlogloss:0.922214+0.031461
## [284] train-mlogloss:0.003802+0.000029 test-mlogloss:0.922813+0.031687
## [285] train-mlogloss:0.003792+0.000031 test-mlogloss:0.923383+0.032074
## [286] train-mlogloss:0.003780+0.000031 test-mlogloss:0.923873+0.032105
## [287] train-mlogloss:0.003768+0.000031 test-mlogloss:0.924447+0.031976
## [288] train-mlogloss:0.003757+0.000030 test-mlogloss:0.924973+0.032091
## [289] train-mlogloss:0.003747+0.000030 test-mlogloss:0.925453+0.032142
## [290] train-mlogloss:0.003736+0.000030 test-mlogloss:0.925769+0.032155
## [291] train-mlogloss:0.003726+0.000030 test-mlogloss:0.926291+0.032257
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## [293] train-mlogloss:0.003705+0.000029 test-mlogloss:0.926783+0.032423
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## [295] train-mlogloss:0.003685+0.000028 test-mlogloss:0.927531+0.032336
## [296] train-mlogloss:0.003674+0.000029 test-mlogloss:0.928005+0.032472
## [297] train-mlogloss:0.003663+0.000029 test-mlogloss:0.928477+0.032563
## [298] train-mlogloss:0.003652+0.000029 test-mlogloss:0.928969+0.032532
## [299] train-mlogloss:0.003642+0.000029 test-mlogloss:0.929404+0.032556
## [300] train-mlogloss:0.003632+0.000029 test-mlogloss:0.929883+0.032604
## [301] train-mlogloss:0.003622+0.000029 test-mlogloss:0.930248+0.032549
## [302] train-mlogloss:0.003612+0.000028 test-mlogloss:0.930578+0.032526
## [303] train-mlogloss:0.003603+0.000028 test-mlogloss:0.931017+0.032382
## [304] train-mlogloss:0.003594+0.000028 test-mlogloss:0.931448+0.032313
## [305] train-mlogloss:0.003584+0.000027 test-mlogloss:0.931729+0.032276
## [306] train-mlogloss:0.003575+0.000026 test-mlogloss:0.932153+0.032498
## [307] train-mlogloss:0.003566+0.000026 test-mlogloss:0.932630+0.032669
## [308] train-mlogloss:0.003558+0.000026 test-mlogloss:0.933156+0.032687
## [309] train-mlogloss:0.003549+0.000026 test-mlogloss:0.933475+0.032897
## [310] train-mlogloss:0.003539+0.000025 test-mlogloss:0.934030+0.032859
## [311] train-mlogloss:0.003530+0.000025 test-mlogloss:0.934434+0.032870
## [312] train-mlogloss:0.003521+0.000025 test-mlogloss:0.934756+0.032848
## [313] train-mlogloss:0.003512+0.000025 test-mlogloss:0.935095+0.032786
## [314] train-mlogloss:0.003502+0.000024 test-mlogloss:0.935332+0.032835
## [315] train-mlogloss:0.003494+0.000024 test-mlogloss:0.935774+0.032823
## [316] train-mlogloss:0.003485+0.000024 test-mlogloss:0.936121+0.032881
## [317] train-mlogloss:0.003477+0.000024 test-mlogloss:0.936353+0.032972
## [318] train-mlogloss:0.003468+0.000024 test-mlogloss:0.936656+0.032906
## [319] train-mlogloss:0.003460+0.000024 test-mlogloss:0.936944+0.033140
## [320] train-mlogloss:0.003452+0.000024 test-mlogloss:0.937184+0.032984
## [321] train-mlogloss:0.003443+0.000024 test-mlogloss:0.937609+0.033115
## [322] train-mlogloss:0.003435+0.000024 test-mlogloss:0.937975+0.033254
## [323] train-mlogloss:0.003426+0.000024 test-mlogloss:0.938344+0.033482
## [324] train-mlogloss:0.003418+0.000024 test-mlogloss:0.938665+0.033392
## [325] train-mlogloss:0.003410+0.000023 test-mlogloss:0.938874+0.033472
## [326] train-mlogloss:0.003402+0.000024 test-mlogloss:0.939306+0.033425
## [327] train-mlogloss:0.003394+0.000024 test-mlogloss:0.939545+0.033340
## [328] train-mlogloss:0.003386+0.000023 test-mlogloss:0.939888+0.033379
## [329] train-mlogloss:0.003379+0.000023 test-mlogloss:0.940292+0.033434
## [330] train-mlogloss:0.003370+0.000023 test-mlogloss:0.940773+0.033309
## [331] train-mlogloss:0.003362+0.000023 test-mlogloss:0.941132+0.033431
## [332] train-mlogloss:0.003354+0.000023 test-mlogloss:0.941439+0.033416
## [333] train-mlogloss:0.003347+0.000023 test-mlogloss:0.942084+0.033572
## [334] train-mlogloss:0.003339+0.000023 test-mlogloss:0.942476+0.033721
## [335] train-mlogloss:0.003331+0.000022 test-mlogloss:0.942857+0.033813
## [336] train-mlogloss:0.003323+0.000023 test-mlogloss:0.943233+0.033889
## [337] train-mlogloss:0.003316+0.000022 test-mlogloss:0.943527+0.033801
## [338] train-mlogloss:0.003309+0.000022 test-mlogloss:0.943850+0.033905
## [339] train-mlogloss:0.003301+0.000022 test-mlogloss:0.944302+0.033885
## [340] train-mlogloss:0.003294+0.000022 test-mlogloss:0.944555+0.033888
## [341] train-mlogloss:0.003286+0.000022 test-mlogloss:0.944838+0.033914
## [342] train-mlogloss:0.003279+0.000023 test-mlogloss:0.945173+0.033971
## [343] train-mlogloss:0.003272+0.000023 test-mlogloss:0.945490+0.034168
## [344] train-mlogloss:0.003264+0.000024 test-mlogloss:0.945716+0.034261
## [345] train-mlogloss:0.003257+0.000023 test-mlogloss:0.945993+0.034350
## [346] train-mlogloss:0.003249+0.000023 test-mlogloss:0.946467+0.034476
## [347] train-mlogloss:0.003242+0.000022 test-mlogloss:0.946780+0.034376
## [348] train-mlogloss:0.003235+0.000022 test-mlogloss:0.947129+0.034540
## [349] train-mlogloss:0.003228+0.000022 test-mlogloss:0.947418+0.034751
## [350] train-mlogloss:0.003221+0.000022 test-mlogloss:0.947649+0.034906
## [351] train-mlogloss:0.003214+0.000023 test-mlogloss:0.947840+0.034877
## [352] train-mlogloss:0.003207+0.000023 test-mlogloss:0.948236+0.034924
## [353] train-mlogloss:0.003200+0.000022 test-mlogloss:0.948536+0.035062
## [354] train-mlogloss:0.003193+0.000023 test-mlogloss:0.948800+0.035121
## [355] train-mlogloss:0.003187+0.000023 test-mlogloss:0.949151+0.034918
## [356] train-mlogloss:0.003180+0.000023 test-mlogloss:0.949291+0.035001
## [357] train-mlogloss:0.003173+0.000022 test-mlogloss:0.949612+0.035033
## [358] train-mlogloss:0.003166+0.000022 test-mlogloss:0.949966+0.034896
## [359] train-mlogloss:0.003159+0.000022 test-mlogloss:0.950169+0.034988
## [360] train-mlogloss:0.003153+0.000022 test-mlogloss:0.950532+0.035050
## [361] train-mlogloss:0.003146+0.000022 test-mlogloss:0.950929+0.035131
## [362] train-mlogloss:0.003139+0.000021 test-mlogloss:0.951241+0.035032
## [363] train-mlogloss:0.003133+0.000021 test-mlogloss:0.951530+0.034989
## [364] train-mlogloss:0.003126+0.000021 test-mlogloss:0.951955+0.034959
## [365] train-mlogloss:0.003120+0.000022 test-mlogloss:0.952276+0.035044
## [366] train-mlogloss:0.003114+0.000022 test-mlogloss:0.952668+0.034953
## [367] train-mlogloss:0.003107+0.000023 test-mlogloss:0.952852+0.035011
## [368] train-mlogloss:0.003100+0.000023 test-mlogloss:0.953218+0.035049
## [369] train-mlogloss:0.003094+0.000023 test-mlogloss:0.953649+0.035186
## [370] train-mlogloss:0.003088+0.000022 test-mlogloss:0.953999+0.035343
## [371] train-mlogloss:0.003082+0.000022 test-mlogloss:0.954320+0.035479
## [372] train-mlogloss:0.003075+0.000022 test-mlogloss:0.954797+0.035352
## [373] train-mlogloss:0.003069+0.000022 test-mlogloss:0.954994+0.035321
## [374] train-mlogloss:0.003062+0.000022 test-mlogloss:0.955296+0.035395
## [375] train-mlogloss:0.003056+0.000022 test-mlogloss:0.955386+0.035386
## [376] train-mlogloss:0.003049+0.000021 test-mlogloss:0.955677+0.035383
## [377] train-mlogloss:0.003043+0.000021 test-mlogloss:0.955859+0.035372
## [378] train-mlogloss:0.003037+0.000021 test-mlogloss:0.956041+0.035238
## [379] train-mlogloss:0.003032+0.000021 test-mlogloss:0.956292+0.035369
## [380] train-mlogloss:0.003025+0.000021 test-mlogloss:0.956692+0.035304
## [381] train-mlogloss:0.003019+0.000020 test-mlogloss:0.956966+0.035289
## [382] train-mlogloss:0.003013+0.000020 test-mlogloss:0.957197+0.035453
## [383] train-mlogloss:0.003007+0.000019 test-mlogloss:0.957480+0.035352
## [384] train-mlogloss:0.003001+0.000019 test-mlogloss:0.957758+0.035271
## [385] train-mlogloss:0.002996+0.000019 test-mlogloss:0.958228+0.035256
## [386] train-mlogloss:0.002990+0.000019 test-mlogloss:0.958580+0.035323
## [387] train-mlogloss:0.002984+0.000019 test-mlogloss:0.958919+0.035291
## [388] train-mlogloss:0.002978+0.000019 test-mlogloss:0.959163+0.035295
## [389] train-mlogloss:0.002973+0.000019 test-mlogloss:0.959470+0.035392
## [390] train-mlogloss:0.002967+0.000018 test-mlogloss:0.959862+0.035492
## [391] train-mlogloss:0.002961+0.000019 test-mlogloss:0.960226+0.035620
## [392] train-mlogloss:0.002956+0.000019 test-mlogloss:0.960509+0.035602
## [393] train-mlogloss:0.002950+0.000019 test-mlogloss:0.960652+0.035682
## [394] train-mlogloss:0.002945+0.000019 test-mlogloss:0.961037+0.035431
## [395] train-mlogloss:0.002939+0.000019 test-mlogloss:0.961363+0.035717
## [396] train-mlogloss:0.002934+0.000019 test-mlogloss:0.961621+0.035671
## [397] train-mlogloss:0.002928+0.000019 test-mlogloss:0.961935+0.035639
## [398] train-mlogloss:0.002922+0.000019 test-mlogloss:0.962275+0.035807
## [399] train-mlogloss:0.002917+0.000019 test-mlogloss:0.962455+0.035912
## [400] train-mlogloss:0.002911+0.000018 test-mlogloss:0.962778+0.035848
## [401] train-mlogloss:0.002906+0.000018 test-mlogloss:0.962963+0.035924
## [402] train-mlogloss:0.002900+0.000018 test-mlogloss:0.963146+0.036094
## [403] train-mlogloss:0.002895+0.000018 test-mlogloss:0.963362+0.036119
## [404] train-mlogloss:0.002889+0.000018 test-mlogloss:0.963624+0.036061
## [405] train-mlogloss:0.002884+0.000019 test-mlogloss:0.964008+0.036147
## [406] train-mlogloss:0.002878+0.000018 test-mlogloss:0.964240+0.036064
## [407] train-mlogloss:0.002873+0.000018 test-mlogloss:0.964556+0.036190
## [408] train-mlogloss:0.002868+0.000018 test-mlogloss:0.964669+0.036102
## [409] train-mlogloss:0.002863+0.000019 test-mlogloss:0.964845+0.036002
## [410] train-mlogloss:0.002857+0.000018 test-mlogloss:0.965059+0.035972
## [411] train-mlogloss:0.002852+0.000019 test-mlogloss:0.965230+0.035948
## [412] train-mlogloss:0.002847+0.000019 test-mlogloss:0.965703+0.035758
## [413] train-mlogloss:0.002841+0.000018 test-mlogloss:0.966127+0.035745
## [414] train-mlogloss:0.002836+0.000018 test-mlogloss:0.966421+0.035740
## [415] train-mlogloss:0.002831+0.000018 test-mlogloss:0.966746+0.035838
## [416] train-mlogloss:0.002826+0.000018 test-mlogloss:0.966950+0.035800
## [417] train-mlogloss:0.002821+0.000018 test-mlogloss:0.967203+0.035773
## [418] train-mlogloss:0.002816+0.000018 test-mlogloss:0.967477+0.035796
## [419] train-mlogloss:0.002811+0.000018 test-mlogloss:0.967758+0.035871
## [420] train-mlogloss:0.002806+0.000018 test-mlogloss:0.968028+0.035839
## [421] train-mlogloss:0.002801+0.000018 test-mlogloss:0.968474+0.035722
## [422] train-mlogloss:0.002796+0.000019 test-mlogloss:0.968700+0.035687
## [423] train-mlogloss:0.002791+0.000018 test-mlogloss:0.969038+0.035697
## [424] train-mlogloss:0.002786+0.000019 test-mlogloss:0.969320+0.035785
## [425] train-mlogloss:0.002781+0.000018 test-mlogloss:0.969619+0.035877
## [426] train-mlogloss:0.002776+0.000018 test-mlogloss:0.969803+0.035959
## [427] train-mlogloss:0.002772+0.000019 test-mlogloss:0.969961+0.036083
## [428] train-mlogloss:0.002767+0.000018 test-mlogloss:0.970149+0.036158
## [429] train-mlogloss:0.002762+0.000018 test-mlogloss:0.970362+0.036180
## [430] train-mlogloss:0.002758+0.000018 test-mlogloss:0.970561+0.036221
## [431] train-mlogloss:0.002753+0.000018 test-mlogloss:0.970919+0.036269
## [432] train-mlogloss:0.002748+0.000018 test-mlogloss:0.971260+0.036236
## [433] train-mlogloss:0.002743+0.000018 test-mlogloss:0.971585+0.036262
## [434] train-mlogloss:0.002739+0.000018 test-mlogloss:0.971943+0.036308
## [435] train-mlogloss:0.002734+0.000017 test-mlogloss:0.972177+0.036492
## [436] train-mlogloss:0.002730+0.000017 test-mlogloss:0.972470+0.036497
## [437] train-mlogloss:0.002725+0.000017 test-mlogloss:0.972726+0.036553
## [438] train-mlogloss:0.002721+0.000017 test-mlogloss:0.972962+0.036615
## [439] train-mlogloss:0.002716+0.000017 test-mlogloss:0.973186+0.036620
## [440] train-mlogloss:0.002711+0.000017 test-mlogloss:0.973450+0.036404
## [441] train-mlogloss:0.002707+0.000016 test-mlogloss:0.973770+0.036378
## [442] train-mlogloss:0.002702+0.000016 test-mlogloss:0.974108+0.036430
## [443] train-mlogloss:0.002698+0.000017 test-mlogloss:0.974249+0.036275
## [444] train-mlogloss:0.002693+0.000017 test-mlogloss:0.974599+0.036302
## [445] train-mlogloss:0.002689+0.000017 test-mlogloss:0.974831+0.036454
## [446] train-mlogloss:0.002684+0.000016 test-mlogloss:0.975053+0.036566
## [447] train-mlogloss:0.002679+0.000016 test-mlogloss:0.975426+0.036557
## [448] train-mlogloss:0.002675+0.000016 test-mlogloss:0.975653+0.036542
## [449] train-mlogloss:0.002671+0.000016 test-mlogloss:0.975897+0.036583
## [450] train-mlogloss:0.002666+0.000016 test-mlogloss:0.976159+0.036711
## [451] train-mlogloss:0.002662+0.000016 test-mlogloss:0.976295+0.036629
## [452] train-mlogloss:0.002658+0.000016 test-mlogloss:0.976453+0.036633
## [453] train-mlogloss:0.002654+0.000016 test-mlogloss:0.976723+0.036737
## [454] train-mlogloss:0.002649+0.000016 test-mlogloss:0.976958+0.036803
## [455] train-mlogloss:0.002645+0.000016 test-mlogloss:0.977251+0.036756
## [456] train-mlogloss:0.002642+0.000017 test-mlogloss:0.977314+0.036749
## [457] train-mlogloss:0.002637+0.000016 test-mlogloss:0.977510+0.036883
## [458] train-mlogloss:0.002634+0.000016 test-mlogloss:0.977719+0.036787
## [459] train-mlogloss:0.002629+0.000016 test-mlogloss:0.977971+0.036727
## [460] train-mlogloss:0.002626+0.000016 test-mlogloss:0.978244+0.036753
## [461] train-mlogloss:0.002621+0.000016 test-mlogloss:0.978547+0.036709
## [462] train-mlogloss:0.002618+0.000016 test-mlogloss:0.978900+0.036725
## [463] train-mlogloss:0.002614+0.000016 test-mlogloss:0.979195+0.036727
## [464] train-mlogloss:0.002610+0.000016 test-mlogloss:0.979490+0.036669
## [465] train-mlogloss:0.002606+0.000017 test-mlogloss:0.979484+0.036641
## [466] train-mlogloss:0.002602+0.000017 test-mlogloss:0.979702+0.036563
## [467] train-mlogloss:0.002598+0.000017 test-mlogloss:0.979974+0.036554
## [468] train-mlogloss:0.002594+0.000017 test-mlogloss:0.980170+0.036549
## [469] train-mlogloss:0.002590+0.000017 test-mlogloss:0.980503+0.036616
## [470] train-mlogloss:0.002587+0.000017 test-mlogloss:0.980838+0.036798
## [471] train-mlogloss:0.002583+0.000017 test-mlogloss:0.980969+0.037002
## [472] train-mlogloss:0.002579+0.000017 test-mlogloss:0.981229+0.037010
## [473] train-mlogloss:0.002575+0.000017 test-mlogloss:0.981295+0.037218
## [474] train-mlogloss:0.002571+0.000016 test-mlogloss:0.981658+0.037261
## [475] train-mlogloss:0.002567+0.000016 test-mlogloss:0.981945+0.037319
## [476] train-mlogloss:0.002563+0.000017 test-mlogloss:0.982055+0.037361
## [477] train-mlogloss:0.002559+0.000017 test-mlogloss:0.982342+0.037373
## [478] train-mlogloss:0.002555+0.000017 test-mlogloss:0.982728+0.037299
## [479] train-mlogloss:0.002552+0.000017 test-mlogloss:0.983052+0.037338
## [480] train-mlogloss:0.002548+0.000017 test-mlogloss:0.983309+0.037260
## [481] train-mlogloss:0.002544+0.000017 test-mlogloss:0.983508+0.037251
## [482] train-mlogloss:0.002540+0.000017 test-mlogloss:0.983723+0.037138
## [483] train-mlogloss:0.002537+0.000017 test-mlogloss:0.983892+0.037186
## [484] train-mlogloss:0.002533+0.000017 test-mlogloss:0.984117+0.037203
## [485] train-mlogloss:0.002529+0.000017 test-mlogloss:0.984347+0.037190
## [486] train-mlogloss:0.002525+0.000017 test-mlogloss:0.984502+0.037089
## [487] train-mlogloss:0.002522+0.000017 test-mlogloss:0.984746+0.037129
## [488] train-mlogloss:0.002518+0.000017 test-mlogloss:0.985092+0.037245
## [489] train-mlogloss:0.002514+0.000017 test-mlogloss:0.985380+0.037226
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## [491] train-mlogloss:0.002507+0.000017 test-mlogloss:0.985774+0.037186
## [492] train-mlogloss:0.002503+0.000017 test-mlogloss:0.986029+0.037103
## [493] train-mlogloss:0.002499+0.000017 test-mlogloss:0.986074+0.037112
## [494] train-mlogloss:0.002495+0.000016 test-mlogloss:0.986416+0.037141
## [495] train-mlogloss:0.002492+0.000017 test-mlogloss:0.986749+0.037134
## [496] train-mlogloss:0.002488+0.000016 test-mlogloss:0.986989+0.037188
## [497] train-mlogloss:0.002485+0.000017 test-mlogloss:0.987183+0.037147
## [498] train-mlogloss:0.002481+0.000017 test-mlogloss:0.987401+0.037205
## [499] train-mlogloss:0.002478+0.000017 test-mlogloss:0.987665+0.037126
## [500] train-mlogloss:0.002475+0.000017 test-mlogloss:0.987993+0.037059
## [1] train-mlogloss:0.538455+0.002542 test-mlogloss:0.556558+0.006803
## [2] train-mlogloss:0.507248+0.002563 test-mlogloss:0.541031+0.009152
## [3] train-mlogloss:0.493896+0.001451 test-mlogloss:0.539527+0.009968
## [4] train-mlogloss:0.486069+0.002122 test-mlogloss:0.540553+0.010576
## [5] train-mlogloss:0.478095+0.003987 test-mlogloss:0.542226+0.011111
## [6] train-mlogloss:0.471589+0.003443 test-mlogloss:0.543118+0.011796
## [7] train-mlogloss:0.463609+0.003378 test-mlogloss:0.544983+0.012001
## [8] train-mlogloss:0.454494+0.004766 test-mlogloss:0.548269+0.011773
## [9] train-mlogloss:0.448222+0.004781 test-mlogloss:0.549901+0.011613
## [10] train-mlogloss:0.441446+0.005495 test-mlogloss:0.552857+0.011751
## [11] train-mlogloss:0.434639+0.006044 test-mlogloss:0.554728+0.011898
## [12] train-mlogloss:0.426433+0.007432 test-mlogloss:0.557749+0.013871
## [13] train-mlogloss:0.420577+0.008697 test-mlogloss:0.560534+0.013633
## [14] train-mlogloss:0.414723+0.007778 test-mlogloss:0.561774+0.014182
## [15] train-mlogloss:0.410300+0.006606 test-mlogloss:0.563802+0.014042
## [16] train-mlogloss:0.406862+0.007758 test-mlogloss:0.564909+0.014014
## [17] train-mlogloss:0.402625+0.008808 test-mlogloss:0.565814+0.014879
## [18] train-mlogloss:0.398046+0.008587 test-mlogloss:0.567473+0.014557
## [19] train-mlogloss:0.391329+0.009413 test-mlogloss:0.569877+0.014224
## [20] train-mlogloss:0.385875+0.009353 test-mlogloss:0.572611+0.014007
## [21] train-mlogloss:0.381561+0.009043 test-mlogloss:0.573775+0.013637
## [22] train-mlogloss:0.376444+0.009412 test-mlogloss:0.576004+0.014390
## [23] train-mlogloss:0.371046+0.007955 test-mlogloss:0.578869+0.013454
## [24] train-mlogloss:0.365848+0.008030 test-mlogloss:0.580784+0.013639
## [25] train-mlogloss:0.360871+0.008027 test-mlogloss:0.581595+0.013317
## [26] train-mlogloss:0.355469+0.007135 test-mlogloss:0.584046+0.012935
## [27] train-mlogloss:0.350672+0.008001 test-mlogloss:0.584894+0.013646
## [28] train-mlogloss:0.346527+0.008994 test-mlogloss:0.585870+0.014096
## [29] train-mlogloss:0.341722+0.009370 test-mlogloss:0.588217+0.014932
## [30] train-mlogloss:0.337726+0.008388 test-mlogloss:0.591135+0.012713
## [31] train-mlogloss:0.333704+0.008050 test-mlogloss:0.591998+0.013761
## [32] train-mlogloss:0.328227+0.009132 test-mlogloss:0.594681+0.013409
## [33] train-mlogloss:0.324167+0.008362 test-mlogloss:0.594689+0.014212
## [34] train-mlogloss:0.317286+0.008546 test-mlogloss:0.597074+0.013645
## [35] train-mlogloss:0.312251+0.007314 test-mlogloss:0.597714+0.013111
## [36] train-mlogloss:0.307844+0.006495 test-mlogloss:0.598400+0.013038
## [37] train-mlogloss:0.303561+0.006088 test-mlogloss:0.600852+0.014155
## [38] train-mlogloss:0.299634+0.005330 test-mlogloss:0.602415+0.014357
## [39] train-mlogloss:0.295138+0.004737 test-mlogloss:0.603620+0.013971
## [40] train-mlogloss:0.291308+0.004574 test-mlogloss:0.605963+0.013704
## [41] train-mlogloss:0.287428+0.005131 test-mlogloss:0.607884+0.014868
## [42] train-mlogloss:0.283283+0.005327 test-mlogloss:0.610082+0.015112
## [43] train-mlogloss:0.279868+0.004607 test-mlogloss:0.612105+0.014021
## [44] train-mlogloss:0.274837+0.003615 test-mlogloss:0.614313+0.014016
## [45] train-mlogloss:0.270883+0.004483 test-mlogloss:0.615055+0.013798
## [46] train-mlogloss:0.267288+0.004115 test-mlogloss:0.616154+0.012661
## [47] train-mlogloss:0.263270+0.004042 test-mlogloss:0.617647+0.013105
## [48] train-mlogloss:0.260200+0.004106 test-mlogloss:0.618835+0.013129
## [49] train-mlogloss:0.257142+0.004915 test-mlogloss:0.620518+0.012977
## [50] train-mlogloss:0.252252+0.005005 test-mlogloss:0.622396+0.011905
## [51] train-mlogloss:0.247868+0.004876 test-mlogloss:0.624793+0.011551
## [52] train-mlogloss:0.244775+0.004732 test-mlogloss:0.625801+0.010095
## [53] train-mlogloss:0.240890+0.004636 test-mlogloss:0.627991+0.010635
## [54] train-mlogloss:0.237832+0.004851 test-mlogloss:0.629539+0.011360
## [55] train-mlogloss:0.235184+0.004309 test-mlogloss:0.631052+0.011011
## [56] train-mlogloss:0.231334+0.003842 test-mlogloss:0.632896+0.011615
## [57] train-mlogloss:0.227506+0.003462 test-mlogloss:0.634576+0.010373
## [58] train-mlogloss:0.224406+0.004236 test-mlogloss:0.635141+0.011088
## [59] train-mlogloss:0.221438+0.005040 test-mlogloss:0.636293+0.011191
## [60] train-mlogloss:0.217376+0.005559 test-mlogloss:0.638791+0.009936
## [61] train-mlogloss:0.214030+0.005522 test-mlogloss:0.640843+0.008827
## [62] train-mlogloss:0.211296+0.006329 test-mlogloss:0.641985+0.008993
## [63] train-mlogloss:0.208739+0.006012 test-mlogloss:0.643243+0.009006
## [64] train-mlogloss:0.205707+0.006237 test-mlogloss:0.645198+0.009187
## [65] train-mlogloss:0.201888+0.006393 test-mlogloss:0.648410+0.010260
## [66] train-mlogloss:0.198655+0.007068 test-mlogloss:0.650207+0.011243
## [67] train-mlogloss:0.195225+0.007351 test-mlogloss:0.650935+0.012678
## [68] train-mlogloss:0.192247+0.006483 test-mlogloss:0.653660+0.012646
## [69] train-mlogloss:0.190159+0.006605 test-mlogloss:0.655819+0.012019
## [70] train-mlogloss:0.187857+0.006736 test-mlogloss:0.657841+0.012201
## [71] train-mlogloss:0.184914+0.007099 test-mlogloss:0.659257+0.012268
## [72] train-mlogloss:0.182549+0.007820 test-mlogloss:0.661069+0.012876
## [73] train-mlogloss:0.179988+0.007798 test-mlogloss:0.662347+0.013052
## [74] train-mlogloss:0.177515+0.007739 test-mlogloss:0.664900+0.013767
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## [76] train-mlogloss:0.173443+0.007495 test-mlogloss:0.667647+0.012742
## [77] train-mlogloss:0.171184+0.008160 test-mlogloss:0.669087+0.011513
## [78] train-mlogloss:0.167922+0.007795 test-mlogloss:0.670766+0.011341
## [79] train-mlogloss:0.165073+0.007825 test-mlogloss:0.672007+0.011594
## [80] train-mlogloss:0.162481+0.007177 test-mlogloss:0.672863+0.011779
## [81] train-mlogloss:0.160155+0.006611 test-mlogloss:0.674043+0.011528
## [82] train-mlogloss:0.158414+0.005965 test-mlogloss:0.674824+0.011130
## [83] train-mlogloss:0.155927+0.006075 test-mlogloss:0.676926+0.011038
## [84] train-mlogloss:0.153507+0.005962 test-mlogloss:0.677992+0.011961
## [85] train-mlogloss:0.151650+0.005800 test-mlogloss:0.678484+0.011416
## [86] train-mlogloss:0.149847+0.005265 test-mlogloss:0.679120+0.010655
## [87] train-mlogloss:0.147888+0.005284 test-mlogloss:0.680139+0.011178
## [88] train-mlogloss:0.146389+0.005142 test-mlogloss:0.682437+0.012571
## [89] train-mlogloss:0.144769+0.005598 test-mlogloss:0.684440+0.012007
## [90] train-mlogloss:0.143006+0.005194 test-mlogloss:0.686190+0.012259
## [91] train-mlogloss:0.140428+0.005223 test-mlogloss:0.687750+0.013534
## [92] train-mlogloss:0.138936+0.005421 test-mlogloss:0.689126+0.014711
## [93] train-mlogloss:0.137014+0.005273 test-mlogloss:0.690860+0.014406
## [94] train-mlogloss:0.134633+0.005136 test-mlogloss:0.692440+0.014590
## [95] train-mlogloss:0.133269+0.004757 test-mlogloss:0.693955+0.015113
## [96] train-mlogloss:0.132096+0.005161 test-mlogloss:0.695226+0.015649
## [97] train-mlogloss:0.130538+0.005233 test-mlogloss:0.695777+0.015139
## [98] train-mlogloss:0.128891+0.005427 test-mlogloss:0.697490+0.015212
## [99] train-mlogloss:0.126426+0.004968 test-mlogloss:0.699475+0.014361
## [100] train-mlogloss:0.124227+0.004561 test-mlogloss:0.700022+0.013988
## [101] train-mlogloss:0.122490+0.004744 test-mlogloss:0.701617+0.014951
## [102] train-mlogloss:0.121040+0.004478 test-mlogloss:0.703388+0.015802
## [103] train-mlogloss:0.119305+0.004123 test-mlogloss:0.705719+0.015408
## [104] train-mlogloss:0.117927+0.003817 test-mlogloss:0.706943+0.014981
## [105] train-mlogloss:0.116095+0.003377 test-mlogloss:0.708031+0.015379
## [106] train-mlogloss:0.114596+0.003245 test-mlogloss:0.709958+0.014751
## [107] train-mlogloss:0.113176+0.003360 test-mlogloss:0.710679+0.015129
## [108] train-mlogloss:0.111844+0.003608 test-mlogloss:0.711734+0.015611
## [109] train-mlogloss:0.110483+0.004014 test-mlogloss:0.712128+0.016143
## [110] train-mlogloss:0.108868+0.003852 test-mlogloss:0.714713+0.016486
## [111] train-mlogloss:0.107479+0.003780 test-mlogloss:0.715268+0.016682
## [112] train-mlogloss:0.105877+0.003748 test-mlogloss:0.718261+0.017412
## [113] train-mlogloss:0.104753+0.003782 test-mlogloss:0.720032+0.017618
## [114] train-mlogloss:0.103534+0.003865 test-mlogloss:0.721928+0.017270
## [115] train-mlogloss:0.102632+0.003501 test-mlogloss:0.722355+0.016892
## [116] train-mlogloss:0.100809+0.003698 test-mlogloss:0.724446+0.017293
## [117] train-mlogloss:0.099332+0.003512 test-mlogloss:0.726151+0.016741
## [118] train-mlogloss:0.098146+0.003852 test-mlogloss:0.727418+0.016650
## [119] train-mlogloss:0.096922+0.003944 test-mlogloss:0.728619+0.017174
## [120] train-mlogloss:0.096055+0.003909 test-mlogloss:0.729868+0.016634
## [121] train-mlogloss:0.095060+0.004216 test-mlogloss:0.730912+0.016245
## [122] train-mlogloss:0.094323+0.004071 test-mlogloss:0.732247+0.016559
## [123] train-mlogloss:0.093196+0.004046 test-mlogloss:0.733987+0.015612
## [124] train-mlogloss:0.092066+0.003696 test-mlogloss:0.735113+0.014667
## [125] train-mlogloss:0.090847+0.003203 test-mlogloss:0.735739+0.014790
## [126] train-mlogloss:0.090008+0.003106 test-mlogloss:0.736036+0.014748
## [127] train-mlogloss:0.089028+0.003020 test-mlogloss:0.737484+0.015629
## [128] train-mlogloss:0.088111+0.003342 test-mlogloss:0.737698+0.014914
## [129] train-mlogloss:0.087270+0.003759 test-mlogloss:0.739346+0.016698
## [130] train-mlogloss:0.086547+0.003778 test-mlogloss:0.740635+0.017464
## [131] train-mlogloss:0.085628+0.003671 test-mlogloss:0.741684+0.017712
## [132] train-mlogloss:0.084329+0.003718 test-mlogloss:0.744077+0.017825
## [133] train-mlogloss:0.083474+0.003510 test-mlogloss:0.745490+0.017877
## [134] train-mlogloss:0.082153+0.003557 test-mlogloss:0.746481+0.017178
## [135] train-mlogloss:0.080789+0.003410 test-mlogloss:0.747125+0.018403
## [136] train-mlogloss:0.079869+0.003389 test-mlogloss:0.748027+0.017682
## [137] train-mlogloss:0.078800+0.003228 test-mlogloss:0.750293+0.017078
## [138] train-mlogloss:0.077922+0.003031 test-mlogloss:0.751598+0.016733
## [139] train-mlogloss:0.077021+0.003258 test-mlogloss:0.753517+0.017603
## [140] train-mlogloss:0.076223+0.003436 test-mlogloss:0.753789+0.018049
## [141] train-mlogloss:0.075673+0.003350 test-mlogloss:0.755078+0.018187
## [142] train-mlogloss:0.074941+0.003316 test-mlogloss:0.756329+0.018376
## [143] train-mlogloss:0.074040+0.002999 test-mlogloss:0.757950+0.017973
## [144] train-mlogloss:0.073126+0.003119 test-mlogloss:0.758945+0.018709
## [145] train-mlogloss:0.072571+0.003204 test-mlogloss:0.759889+0.018575
## [146] train-mlogloss:0.071825+0.003435 test-mlogloss:0.760988+0.018505
## [147] train-mlogloss:0.071156+0.003291 test-mlogloss:0.761740+0.018014
## [148] train-mlogloss:0.070663+0.003349 test-mlogloss:0.762735+0.018097
## [149] train-mlogloss:0.069770+0.002987 test-mlogloss:0.763632+0.018948
## [150] train-mlogloss:0.068813+0.002602 test-mlogloss:0.763982+0.018815
## [151] train-mlogloss:0.068148+0.002909 test-mlogloss:0.764925+0.018950
## [152] train-mlogloss:0.067182+0.002612 test-mlogloss:0.766225+0.019174
## [153] train-mlogloss:0.066506+0.002354 test-mlogloss:0.767667+0.018701
## [154] train-mlogloss:0.065536+0.002301 test-mlogloss:0.769430+0.019331
## [155] train-mlogloss:0.064383+0.002201 test-mlogloss:0.771273+0.019590
## [156] train-mlogloss:0.063665+0.001970 test-mlogloss:0.772464+0.020085
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## [158] train-mlogloss:0.061908+0.001876 test-mlogloss:0.776198+0.020814
## [159] train-mlogloss:0.061316+0.001779 test-mlogloss:0.776981+0.021122
## [160] train-mlogloss:0.060581+0.001756 test-mlogloss:0.778342+0.021766
## [161] train-mlogloss:0.060007+0.001920 test-mlogloss:0.779181+0.022335
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## [164] train-mlogloss:0.057593+0.002260 test-mlogloss:0.783447+0.021115
## [165] train-mlogloss:0.057033+0.002281 test-mlogloss:0.784883+0.020595
## [166] train-mlogloss:0.056399+0.002367 test-mlogloss:0.786277+0.020660
## [167] train-mlogloss:0.055778+0.002420 test-mlogloss:0.787304+0.020299
## [168] train-mlogloss:0.054993+0.002590 test-mlogloss:0.788495+0.019788
## [169] train-mlogloss:0.054224+0.002422 test-mlogloss:0.789138+0.020559
## [170] train-mlogloss:0.053594+0.002321 test-mlogloss:0.791306+0.020906
## [171] train-mlogloss:0.053025+0.002379 test-mlogloss:0.792754+0.022622
## [172] train-mlogloss:0.052568+0.002432 test-mlogloss:0.793872+0.021493
## [173] train-mlogloss:0.051860+0.002378 test-mlogloss:0.795215+0.020312
## [174] train-mlogloss:0.051298+0.002304 test-mlogloss:0.796418+0.020317
## [175] train-mlogloss:0.050939+0.002387 test-mlogloss:0.797387+0.020742
## [176] train-mlogloss:0.050429+0.002494 test-mlogloss:0.797537+0.020459
## [177] train-mlogloss:0.049769+0.002513 test-mlogloss:0.798823+0.020514
## [178] train-mlogloss:0.049105+0.002496 test-mlogloss:0.800855+0.020129
## [179] train-mlogloss:0.048610+0.002531 test-mlogloss:0.802153+0.020853
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## [182] train-mlogloss:0.046977+0.002008 test-mlogloss:0.807336+0.019376
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## [184] train-mlogloss:0.046056+0.002395 test-mlogloss:0.809495+0.020019
## [185] train-mlogloss:0.045583+0.002511 test-mlogloss:0.811702+0.020435
## [186] train-mlogloss:0.044966+0.002320 test-mlogloss:0.812955+0.020515
## [187] train-mlogloss:0.044477+0.002231 test-mlogloss:0.813582+0.021360
## [188] train-mlogloss:0.043926+0.002290 test-mlogloss:0.814117+0.021494
## [189] train-mlogloss:0.043646+0.002268 test-mlogloss:0.815526+0.022329
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## [193] train-mlogloss:0.041633+0.002283 test-mlogloss:0.821562+0.024445
## [194] train-mlogloss:0.041175+0.002219 test-mlogloss:0.822229+0.024349
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## [198] train-mlogloss:0.039289+0.002146 test-mlogloss:0.828142+0.025687
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## [201] train-mlogloss:0.038022+0.001911 test-mlogloss:0.832993+0.025267
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## [204] train-mlogloss:0.036888+0.002000 test-mlogloss:0.835950+0.024954
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## [209] train-mlogloss:0.035403+0.001971 test-mlogloss:0.840465+0.024299
## [210] train-mlogloss:0.035168+0.001999 test-mlogloss:0.841583+0.024811
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## [212] train-mlogloss:0.034761+0.002060 test-mlogloss:0.843539+0.024645
## [213] train-mlogloss:0.034508+0.001989 test-mlogloss:0.844232+0.024379
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## [216] train-mlogloss:0.033416+0.002062 test-mlogloss:0.848887+0.024583
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## [218] train-mlogloss:0.032800+0.001827 test-mlogloss:0.851238+0.023902
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## [222] train-mlogloss:0.031706+0.001791 test-mlogloss:0.854329+0.022977
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## [228] train-mlogloss:0.029889+0.001742 test-mlogloss:0.860193+0.025782
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## [230] train-mlogloss:0.029430+0.001834 test-mlogloss:0.862621+0.026240
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## [232] train-mlogloss:0.028796+0.001924 test-mlogloss:0.864027+0.026379
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## [239] train-mlogloss:0.027182+0.001914 test-mlogloss:0.870393+0.027275
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## [264] train-mlogloss:0.022149+0.001410 test-mlogloss:0.893901+0.027203
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## [267] train-mlogloss:0.021771+0.001438 test-mlogloss:0.895806+0.026437
## [268] train-mlogloss:0.021634+0.001418 test-mlogloss:0.896638+0.026056
## [269] train-mlogloss:0.021507+0.001449 test-mlogloss:0.897603+0.026376
## [270] train-mlogloss:0.021381+0.001444 test-mlogloss:0.898185+0.026404
## [271] train-mlogloss:0.021265+0.001401 test-mlogloss:0.898738+0.026395
## [272] train-mlogloss:0.021105+0.001370 test-mlogloss:0.898970+0.026244
## [273] train-mlogloss:0.020975+0.001341 test-mlogloss:0.899964+0.025888
## [274] train-mlogloss:0.020836+0.001311 test-mlogloss:0.900877+0.026061
## [275] train-mlogloss:0.020712+0.001207 test-mlogloss:0.901412+0.024999
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## [277] train-mlogloss:0.020408+0.001174 test-mlogloss:0.903179+0.025355
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## [279] train-mlogloss:0.020070+0.001138 test-mlogloss:0.905358+0.025783
## [280] train-mlogloss:0.019925+0.001083 test-mlogloss:0.905934+0.025208
## [281] train-mlogloss:0.019708+0.001133 test-mlogloss:0.907555+0.026188
## [282] train-mlogloss:0.019572+0.001161 test-mlogloss:0.909193+0.026828
## [283] train-mlogloss:0.019349+0.001153 test-mlogloss:0.910208+0.028333
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## [285] train-mlogloss:0.019112+0.001120 test-mlogloss:0.911626+0.028746
## [286] train-mlogloss:0.018990+0.001062 test-mlogloss:0.911948+0.029037
## [287] train-mlogloss:0.018861+0.001052 test-mlogloss:0.913191+0.028364
## [288] train-mlogloss:0.018718+0.000969 test-mlogloss:0.913716+0.028772
## [289] train-mlogloss:0.018626+0.000976 test-mlogloss:0.914443+0.028606
## [290] train-mlogloss:0.018499+0.000943 test-mlogloss:0.915332+0.029040
## [291] train-mlogloss:0.018333+0.000909 test-mlogloss:0.916254+0.028884
## [292] train-mlogloss:0.018185+0.000882 test-mlogloss:0.916397+0.028696
## [293] train-mlogloss:0.018071+0.000853 test-mlogloss:0.916651+0.028634
## [294] train-mlogloss:0.017925+0.000828 test-mlogloss:0.917323+0.028736
## [295] train-mlogloss:0.017775+0.000805 test-mlogloss:0.918900+0.028203
## [296] train-mlogloss:0.017642+0.000759 test-mlogloss:0.919686+0.028447
## [297] train-mlogloss:0.017500+0.000740 test-mlogloss:0.920634+0.027735
## [298] train-mlogloss:0.017396+0.000713 test-mlogloss:0.920756+0.027507
## [299] train-mlogloss:0.017323+0.000720 test-mlogloss:0.921484+0.027417
## [300] train-mlogloss:0.017172+0.000754 test-mlogloss:0.921151+0.027244
## [301] train-mlogloss:0.017056+0.000733 test-mlogloss:0.922575+0.027458
## [302] train-mlogloss:0.016935+0.000713 test-mlogloss:0.924213+0.027677
## [303] train-mlogloss:0.016838+0.000724 test-mlogloss:0.925207+0.027586
## [304] train-mlogloss:0.016685+0.000687 test-mlogloss:0.925896+0.027917
## [305] train-mlogloss:0.016569+0.000657 test-mlogloss:0.926376+0.027740
## [306] train-mlogloss:0.016446+0.000633 test-mlogloss:0.927826+0.027699
## [307] train-mlogloss:0.016364+0.000628 test-mlogloss:0.928678+0.027717
## [308] train-mlogloss:0.016276+0.000632 test-mlogloss:0.929577+0.028350
## [309] train-mlogloss:0.016218+0.000623 test-mlogloss:0.930401+0.028462
## [310] train-mlogloss:0.016126+0.000655 test-mlogloss:0.931433+0.028429
## [311] train-mlogloss:0.016013+0.000645 test-mlogloss:0.931835+0.028099
## [312] train-mlogloss:0.015915+0.000666 test-mlogloss:0.932444+0.028729
## [313] train-mlogloss:0.015794+0.000665 test-mlogloss:0.933624+0.028869
## [314] train-mlogloss:0.015655+0.000678 test-mlogloss:0.934282+0.029110
## [315] train-mlogloss:0.015552+0.000657 test-mlogloss:0.935008+0.028757
## [316] train-mlogloss:0.015459+0.000676 test-mlogloss:0.936170+0.029183
## [317] train-mlogloss:0.015386+0.000684 test-mlogloss:0.936982+0.029293
## [318] train-mlogloss:0.015270+0.000662 test-mlogloss:0.938331+0.029406
## [319] train-mlogloss:0.015153+0.000624 test-mlogloss:0.938886+0.028963
## [320] train-mlogloss:0.015032+0.000615 test-mlogloss:0.939169+0.028806
## [321] train-mlogloss:0.014939+0.000620 test-mlogloss:0.939855+0.029113
## [322] train-mlogloss:0.014843+0.000598 test-mlogloss:0.939948+0.029813
## [323] train-mlogloss:0.014737+0.000591 test-mlogloss:0.940236+0.029477
## [324] train-mlogloss:0.014611+0.000573 test-mlogloss:0.940996+0.029458
## [325] train-mlogloss:0.014486+0.000564 test-mlogloss:0.941852+0.029130
## [326] train-mlogloss:0.014413+0.000561 test-mlogloss:0.943190+0.029350
## [327] train-mlogloss:0.014278+0.000597 test-mlogloss:0.944345+0.029470
## [328] train-mlogloss:0.014161+0.000577 test-mlogloss:0.945210+0.030044
## [329] train-mlogloss:0.014081+0.000557 test-mlogloss:0.946271+0.030148
## [330] train-mlogloss:0.013984+0.000581 test-mlogloss:0.947159+0.030228
## [331] train-mlogloss:0.013911+0.000600 test-mlogloss:0.948104+0.030142
## [332] train-mlogloss:0.013828+0.000612 test-mlogloss:0.948982+0.030553
## [333] train-mlogloss:0.013763+0.000619 test-mlogloss:0.949941+0.031243
## [334] train-mlogloss:0.013640+0.000626 test-mlogloss:0.950888+0.031145
## [335] train-mlogloss:0.013567+0.000629 test-mlogloss:0.951343+0.031593
## [336] train-mlogloss:0.013518+0.000651 test-mlogloss:0.951944+0.031809
## [337] train-mlogloss:0.013429+0.000664 test-mlogloss:0.952853+0.032249
## [338] train-mlogloss:0.013380+0.000650 test-mlogloss:0.953600+0.031872
## [339] train-mlogloss:0.013302+0.000629 test-mlogloss:0.954158+0.032300
## [340] train-mlogloss:0.013225+0.000617 test-mlogloss:0.954728+0.032199
## [341] train-mlogloss:0.013155+0.000650 test-mlogloss:0.956218+0.033076
## [342] train-mlogloss:0.013053+0.000675 test-mlogloss:0.956707+0.032860
## [343] train-mlogloss:0.012985+0.000658 test-mlogloss:0.957768+0.032615
## [344] train-mlogloss:0.012909+0.000646 test-mlogloss:0.958537+0.031517
## [345] train-mlogloss:0.012806+0.000626 test-mlogloss:0.959933+0.031814
## [346] train-mlogloss:0.012738+0.000633 test-mlogloss:0.960526+0.031957
## [347] train-mlogloss:0.012642+0.000635 test-mlogloss:0.961381+0.032132
## [348] train-mlogloss:0.012562+0.000645 test-mlogloss:0.961673+0.031808
## [349] train-mlogloss:0.012495+0.000636 test-mlogloss:0.962154+0.032119
## [350] train-mlogloss:0.012410+0.000666 test-mlogloss:0.963178+0.032211
## [351] train-mlogloss:0.012335+0.000668 test-mlogloss:0.964017+0.031911
## [352] train-mlogloss:0.012273+0.000657 test-mlogloss:0.964639+0.031828
## [353] train-mlogloss:0.012201+0.000622 test-mlogloss:0.965295+0.031408
## [354] train-mlogloss:0.012136+0.000630 test-mlogloss:0.966267+0.031271
## [355] train-mlogloss:0.012085+0.000637 test-mlogloss:0.966614+0.031432
## [356] train-mlogloss:0.012026+0.000630 test-mlogloss:0.966615+0.031568
## [357] train-mlogloss:0.011960+0.000611 test-mlogloss:0.967349+0.031041
## [358] train-mlogloss:0.011869+0.000576 test-mlogloss:0.968430+0.030515
## [359] train-mlogloss:0.011783+0.000574 test-mlogloss:0.969510+0.030965
## [360] train-mlogloss:0.011704+0.000557 test-mlogloss:0.971420+0.031155
## [361] train-mlogloss:0.011638+0.000554 test-mlogloss:0.972121+0.031765
## [362] train-mlogloss:0.011569+0.000576 test-mlogloss:0.973154+0.032302
## [363] train-mlogloss:0.011454+0.000525 test-mlogloss:0.974692+0.031880
## [364] train-mlogloss:0.011397+0.000511 test-mlogloss:0.974967+0.031814
## [365] train-mlogloss:0.011326+0.000498 test-mlogloss:0.976008+0.031925
## [366] train-mlogloss:0.011269+0.000486 test-mlogloss:0.976842+0.031829
## [367] train-mlogloss:0.011167+0.000489 test-mlogloss:0.977884+0.032146
## [368] train-mlogloss:0.011101+0.000501 test-mlogloss:0.979180+0.032299
## [369] train-mlogloss:0.011057+0.000508 test-mlogloss:0.979821+0.032490
## [370] train-mlogloss:0.010996+0.000511 test-mlogloss:0.981091+0.032827
## [371] train-mlogloss:0.010933+0.000501 test-mlogloss:0.981936+0.032532
## [372] train-mlogloss:0.010879+0.000479 test-mlogloss:0.982128+0.032740
## [373] train-mlogloss:0.010839+0.000465 test-mlogloss:0.982595+0.032646
## [374] train-mlogloss:0.010765+0.000445 test-mlogloss:0.983571+0.032412
## [375] train-mlogloss:0.010710+0.000440 test-mlogloss:0.984233+0.032776
## [376] train-mlogloss:0.010664+0.000438 test-mlogloss:0.984868+0.032696
## [377] train-mlogloss:0.010598+0.000432 test-mlogloss:0.985058+0.032301
## [378] train-mlogloss:0.010554+0.000408 test-mlogloss:0.986037+0.032244
## [379] train-mlogloss:0.010512+0.000384 test-mlogloss:0.986372+0.032255
## [380] train-mlogloss:0.010440+0.000386 test-mlogloss:0.987010+0.031880
## [381] train-mlogloss:0.010402+0.000382 test-mlogloss:0.987702+0.031849
## [382] train-mlogloss:0.010331+0.000389 test-mlogloss:0.988232+0.031840
## [383] train-mlogloss:0.010281+0.000387 test-mlogloss:0.988980+0.032314
## [384] train-mlogloss:0.010205+0.000378 test-mlogloss:0.989187+0.032354
## [385] train-mlogloss:0.010142+0.000381 test-mlogloss:0.989912+0.032933
## [386] train-mlogloss:0.010090+0.000378 test-mlogloss:0.990504+0.033010
## [387] train-mlogloss:0.010026+0.000381 test-mlogloss:0.990667+0.032822
## [388] train-mlogloss:0.009963+0.000395 test-mlogloss:0.991479+0.033006
## [389] train-mlogloss:0.009914+0.000407 test-mlogloss:0.991964+0.033247
## [390] train-mlogloss:0.009864+0.000416 test-mlogloss:0.992697+0.033808
## [391] train-mlogloss:0.009814+0.000396 test-mlogloss:0.994058+0.033597
## [392] train-mlogloss:0.009767+0.000409 test-mlogloss:0.994768+0.033392
## [393] train-mlogloss:0.009727+0.000397 test-mlogloss:0.994992+0.033822
## [394] train-mlogloss:0.009682+0.000403 test-mlogloss:0.995931+0.034049
## [395] train-mlogloss:0.009646+0.000392 test-mlogloss:0.996579+0.033956
## [396] train-mlogloss:0.009593+0.000374 test-mlogloss:0.997932+0.034195
## [397] train-mlogloss:0.009536+0.000364 test-mlogloss:0.999298+0.034288
## [398] train-mlogloss:0.009497+0.000365 test-mlogloss:1.000140+0.033725
## [399] train-mlogloss:0.009451+0.000351 test-mlogloss:1.000855+0.033426
## [400] train-mlogloss:0.009404+0.000337 test-mlogloss:1.001227+0.033207
## [401] train-mlogloss:0.009363+0.000339 test-mlogloss:1.001808+0.033169
## [402] train-mlogloss:0.009320+0.000333 test-mlogloss:1.002413+0.033276
## [403] train-mlogloss:0.009271+0.000321 test-mlogloss:1.003184+0.033659
## [404] train-mlogloss:0.009218+0.000310 test-mlogloss:1.004157+0.033719
## [405] train-mlogloss:0.009163+0.000304 test-mlogloss:1.004587+0.033890
## [406] train-mlogloss:0.009137+0.000308 test-mlogloss:1.005146+0.033925
## [407] train-mlogloss:0.009106+0.000306 test-mlogloss:1.005546+0.033910
## [408] train-mlogloss:0.009061+0.000296 test-mlogloss:1.005771+0.033962
## [409] train-mlogloss:0.009021+0.000303 test-mlogloss:1.006412+0.034264
## [410] train-mlogloss:0.008993+0.000315 test-mlogloss:1.007236+0.034914
## [411] train-mlogloss:0.008961+0.000319 test-mlogloss:1.007500+0.035067
## [412] train-mlogloss:0.008923+0.000324 test-mlogloss:1.008396+0.035264
## [413] train-mlogloss:0.008896+0.000335 test-mlogloss:1.008508+0.034983
## [414] train-mlogloss:0.008856+0.000347 test-mlogloss:1.009195+0.035432
## [415] train-mlogloss:0.008826+0.000342 test-mlogloss:1.009757+0.035569
## [416] train-mlogloss:0.008773+0.000353 test-mlogloss:1.010550+0.035837
## [417] train-mlogloss:0.008728+0.000342 test-mlogloss:1.011332+0.035422
## [418] train-mlogloss:0.008687+0.000348 test-mlogloss:1.012239+0.035453
## [419] train-mlogloss:0.008651+0.000365 test-mlogloss:1.012548+0.035721
## [420] train-mlogloss:0.008604+0.000372 test-mlogloss:1.013211+0.035413
## [421] train-mlogloss:0.008567+0.000378 test-mlogloss:1.013353+0.035430
## [422] train-mlogloss:0.008531+0.000383 test-mlogloss:1.014283+0.035129
## [423] train-mlogloss:0.008494+0.000372 test-mlogloss:1.015593+0.034300
## [424] train-mlogloss:0.008442+0.000374 test-mlogloss:1.016206+0.034359
## [425] train-mlogloss:0.008392+0.000373 test-mlogloss:1.017119+0.034003
## [426] train-mlogloss:0.008366+0.000363 test-mlogloss:1.017700+0.033956
## [427] train-mlogloss:0.008335+0.000360 test-mlogloss:1.018300+0.033778
## [428] train-mlogloss:0.008308+0.000371 test-mlogloss:1.018695+0.034298
## [429] train-mlogloss:0.008254+0.000390 test-mlogloss:1.019579+0.034416
## [430] train-mlogloss:0.008217+0.000387 test-mlogloss:1.019989+0.034509
## [431] train-mlogloss:0.008180+0.000379 test-mlogloss:1.020705+0.034699
## [432] train-mlogloss:0.008161+0.000378 test-mlogloss:1.021251+0.034778
## [433] train-mlogloss:0.008130+0.000372 test-mlogloss:1.021896+0.034453
## [434] train-mlogloss:0.008096+0.000369 test-mlogloss:1.023007+0.034653
## [435] train-mlogloss:0.008064+0.000361 test-mlogloss:1.023630+0.034627
## [436] train-mlogloss:0.008038+0.000363 test-mlogloss:1.024211+0.034798
## [437] train-mlogloss:0.008016+0.000369 test-mlogloss:1.024468+0.034685
## [438] train-mlogloss:0.007998+0.000364 test-mlogloss:1.024871+0.034486
## [439] train-mlogloss:0.007970+0.000366 test-mlogloss:1.025272+0.034528
## [440] train-mlogloss:0.007948+0.000370 test-mlogloss:1.025987+0.034854
## [441] train-mlogloss:0.007919+0.000366 test-mlogloss:1.026876+0.034451
## [442] train-mlogloss:0.007890+0.000369 test-mlogloss:1.027602+0.034580
## [443] train-mlogloss:0.007862+0.000372 test-mlogloss:1.028059+0.034746
## [444] train-mlogloss:0.007822+0.000366 test-mlogloss:1.028164+0.035224
## [445] train-mlogloss:0.007795+0.000353 test-mlogloss:1.028802+0.035153
## [446] train-mlogloss:0.007761+0.000340 test-mlogloss:1.029383+0.034881
## [447] train-mlogloss:0.007734+0.000342 test-mlogloss:1.030506+0.034826
## [448] train-mlogloss:0.007700+0.000348 test-mlogloss:1.030869+0.035246
## [449] train-mlogloss:0.007659+0.000339 test-mlogloss:1.031954+0.036019
## [450] train-mlogloss:0.007633+0.000335 test-mlogloss:1.032348+0.036260
## [451] train-mlogloss:0.007608+0.000333 test-mlogloss:1.032913+0.036345
## [452] train-mlogloss:0.007572+0.000338 test-mlogloss:1.032815+0.036312
## [453] train-mlogloss:0.007530+0.000332 test-mlogloss:1.033863+0.036339
## [454] train-mlogloss:0.007504+0.000326 test-mlogloss:1.034298+0.036619
## [455] train-mlogloss:0.007466+0.000323 test-mlogloss:1.034459+0.036687
## [456] train-mlogloss:0.007423+0.000318 test-mlogloss:1.035750+0.036923
## [457] train-mlogloss:0.007401+0.000323 test-mlogloss:1.036363+0.036860
## [458] train-mlogloss:0.007363+0.000311 test-mlogloss:1.037120+0.037036
## [459] train-mlogloss:0.007325+0.000300 test-mlogloss:1.037905+0.036614
## [460] train-mlogloss:0.007296+0.000297 test-mlogloss:1.038797+0.036453
## [461] train-mlogloss:0.007272+0.000292 test-mlogloss:1.039464+0.036547
## [462] train-mlogloss:0.007233+0.000294 test-mlogloss:1.040062+0.036427
## [463] train-mlogloss:0.007218+0.000292 test-mlogloss:1.040556+0.036438
## [464] train-mlogloss:0.007196+0.000292 test-mlogloss:1.040859+0.036241
## [465] train-mlogloss:0.007163+0.000291 test-mlogloss:1.041279+0.037052
## [466] train-mlogloss:0.007141+0.000290 test-mlogloss:1.041727+0.037075
## [467] train-mlogloss:0.007117+0.000286 test-mlogloss:1.042252+0.037170
## [468] train-mlogloss:0.007090+0.000288 test-mlogloss:1.043414+0.036748
## [469] train-mlogloss:0.007071+0.000288 test-mlogloss:1.043781+0.036458
## [470] train-mlogloss:0.007040+0.000284 test-mlogloss:1.044392+0.036772
## [471] train-mlogloss:0.007013+0.000281 test-mlogloss:1.045397+0.037233
## [472] train-mlogloss:0.006974+0.000274 test-mlogloss:1.046185+0.037197
## [473] train-mlogloss:0.006949+0.000272 test-mlogloss:1.046831+0.037085
## [474] train-mlogloss:0.006917+0.000275 test-mlogloss:1.047779+0.037272
## [475] train-mlogloss:0.006899+0.000268 test-mlogloss:1.047819+0.037387
## [476] train-mlogloss:0.006879+0.000263 test-mlogloss:1.048356+0.037488
## [477] train-mlogloss:0.006864+0.000262 test-mlogloss:1.048804+0.037565
## [478] train-mlogloss:0.006837+0.000259 test-mlogloss:1.049725+0.037587
## [479] train-mlogloss:0.006803+0.000254 test-mlogloss:1.050271+0.037288
## [480] train-mlogloss:0.006782+0.000256 test-mlogloss:1.050571+0.037346
## [481] train-mlogloss:0.006748+0.000259 test-mlogloss:1.050982+0.037475
## [482] train-mlogloss:0.006716+0.000246 test-mlogloss:1.051784+0.037693
## [483] train-mlogloss:0.006695+0.000241 test-mlogloss:1.052585+0.037611
## [484] train-mlogloss:0.006671+0.000235 test-mlogloss:1.053474+0.037469
## [485] train-mlogloss:0.006640+0.000243 test-mlogloss:1.054263+0.037449
## [486] train-mlogloss:0.006617+0.000246 test-mlogloss:1.054023+0.037236
## [487] train-mlogloss:0.006589+0.000243 test-mlogloss:1.054883+0.037442
## [488] train-mlogloss:0.006574+0.000249 test-mlogloss:1.055271+0.037743
## [489] train-mlogloss:0.006549+0.000244 test-mlogloss:1.055303+0.037598
## [490] train-mlogloss:0.006528+0.000239 test-mlogloss:1.055740+0.037747
## [491] train-mlogloss:0.006502+0.000237 test-mlogloss:1.056315+0.037901
## [492] train-mlogloss:0.006473+0.000244 test-mlogloss:1.057022+0.037996
## [493] train-mlogloss:0.006454+0.000245 test-mlogloss:1.057804+0.037935
## [494] train-mlogloss:0.006440+0.000247 test-mlogloss:1.057993+0.038023
## [495] train-mlogloss:0.006422+0.000244 test-mlogloss:1.058245+0.037915
## [496] train-mlogloss:0.006405+0.000241 test-mlogloss:1.058553+0.037773
## [497] train-mlogloss:0.006388+0.000238 test-mlogloss:1.058891+0.037734
## [498] train-mlogloss:0.006365+0.000238 test-mlogloss:1.059252+0.037728
## [499] train-mlogloss:0.006337+0.000228 test-mlogloss:1.060048+0.037616
## [500] train-mlogloss:0.006316+0.000227 test-mlogloss:1.060362+0.037688
## [1] train-mlogloss:0.314672+0.003959 test-mlogloss:0.607642+0.013053
## [2] train-mlogloss:0.186729+0.002877 test-mlogloss:0.609427+0.019459
## [3] train-mlogloss:0.123592+0.001776 test-mlogloss:0.623874+0.020382
## [4] train-mlogloss:0.089893+0.002096 test-mlogloss:0.640769+0.024567
## [5] train-mlogloss:0.070716+0.001255 test-mlogloss:0.659204+0.022296
## [6] train-mlogloss:0.058427+0.000820 test-mlogloss:0.670982+0.021617
## [7] train-mlogloss:0.050036+0.001790 test-mlogloss:0.681459+0.022107
## [8] train-mlogloss:0.043587+0.002593 test-mlogloss:0.692581+0.025328
## [9] train-mlogloss:0.039073+0.002871 test-mlogloss:0.703364+0.024399
## [10] train-mlogloss:0.035713+0.002712 test-mlogloss:0.712510+0.024071
## [11] train-mlogloss:0.032832+0.002710 test-mlogloss:0.721562+0.025033
## [12] train-mlogloss:0.030531+0.002143 test-mlogloss:0.727338+0.024943
## [13] train-mlogloss:0.027638+0.001757 test-mlogloss:0.737452+0.024992
## [14] train-mlogloss:0.025613+0.001376 test-mlogloss:0.743511+0.025793
## [15] train-mlogloss:0.023519+0.001016 test-mlogloss:0.753746+0.026334
## [16] train-mlogloss:0.021723+0.000941 test-mlogloss:0.760431+0.026844
## [17] train-mlogloss:0.020373+0.000847 test-mlogloss:0.767744+0.027728
## [18] train-mlogloss:0.018989+0.000780 test-mlogloss:0.773951+0.029552
## [19] train-mlogloss:0.017824+0.000705 test-mlogloss:0.779863+0.029775
## [20] train-mlogloss:0.016833+0.000690 test-mlogloss:0.786013+0.028663
## [21] train-mlogloss:0.015906+0.000656 test-mlogloss:0.792497+0.028192
## [22] train-mlogloss:0.015022+0.000566 test-mlogloss:0.797742+0.027601
## [23] train-mlogloss:0.014388+0.000535 test-mlogloss:0.802579+0.027135
## [24] train-mlogloss:0.013739+0.000494 test-mlogloss:0.807972+0.027724
## [25] train-mlogloss:0.013178+0.000398 test-mlogloss:0.811968+0.027691
## [26] train-mlogloss:0.012670+0.000392 test-mlogloss:0.815714+0.027665
## [27] train-mlogloss:0.012200+0.000362 test-mlogloss:0.820556+0.027898
## [28] train-mlogloss:0.011800+0.000387 test-mlogloss:0.824336+0.028163
## [29] train-mlogloss:0.011433+0.000406 test-mlogloss:0.828520+0.028472
## [30] train-mlogloss:0.011047+0.000384 test-mlogloss:0.832444+0.028305
## [31] train-mlogloss:0.010666+0.000353 test-mlogloss:0.836598+0.028823
## [32] train-mlogloss:0.010327+0.000335 test-mlogloss:0.840344+0.029782
## [33] train-mlogloss:0.010019+0.000298 test-mlogloss:0.845190+0.029555
## [34] train-mlogloss:0.009697+0.000265 test-mlogloss:0.849290+0.029553
## [35] train-mlogloss:0.009439+0.000267 test-mlogloss:0.852034+0.030307
## [36] train-mlogloss:0.009187+0.000243 test-mlogloss:0.855208+0.030819
## [37] train-mlogloss:0.008962+0.000254 test-mlogloss:0.857776+0.030948
## [38] train-mlogloss:0.008723+0.000244 test-mlogloss:0.861266+0.031308
## [39] train-mlogloss:0.008538+0.000252 test-mlogloss:0.863942+0.031471
## [40] train-mlogloss:0.008325+0.000250 test-mlogloss:0.867340+0.031428
## [41] train-mlogloss:0.008141+0.000253 test-mlogloss:0.870005+0.031376
## [42] train-mlogloss:0.007972+0.000244 test-mlogloss:0.872364+0.031756
## [43] train-mlogloss:0.007791+0.000236 test-mlogloss:0.874407+0.032692
## [44] train-mlogloss:0.007620+0.000232 test-mlogloss:0.876778+0.032817
## [45] train-mlogloss:0.007456+0.000227 test-mlogloss:0.879174+0.032859
## [46] train-mlogloss:0.007292+0.000214 test-mlogloss:0.882407+0.032667
## [47] train-mlogloss:0.007144+0.000205 test-mlogloss:0.885598+0.032837
## [48] train-mlogloss:0.007015+0.000213 test-mlogloss:0.887731+0.032956
## [49] train-mlogloss:0.006876+0.000194 test-mlogloss:0.889779+0.032542
## [50] train-mlogloss:0.006743+0.000187 test-mlogloss:0.891713+0.032591
## [51] train-mlogloss:0.006622+0.000184 test-mlogloss:0.893532+0.032476
## [52] train-mlogloss:0.006504+0.000176 test-mlogloss:0.895975+0.033005
## [53] train-mlogloss:0.006381+0.000162 test-mlogloss:0.898016+0.033851
## [54] train-mlogloss:0.006275+0.000161 test-mlogloss:0.900418+0.033803
## [55] train-mlogloss:0.006172+0.000162 test-mlogloss:0.902434+0.033885
## [56] train-mlogloss:0.006075+0.000157 test-mlogloss:0.904797+0.033871
## [57] train-mlogloss:0.005978+0.000152 test-mlogloss:0.907252+0.033996
## [58] train-mlogloss:0.005885+0.000150 test-mlogloss:0.909678+0.033691
## [59] train-mlogloss:0.005794+0.000141 test-mlogloss:0.911574+0.034205
## [60] train-mlogloss:0.005706+0.000139 test-mlogloss:0.913377+0.034471
## [61] train-mlogloss:0.005620+0.000139 test-mlogloss:0.915482+0.034271
## [62] train-mlogloss:0.005537+0.000135 test-mlogloss:0.917647+0.034417
## [63] train-mlogloss:0.005458+0.000129 test-mlogloss:0.919564+0.034866
## [64] train-mlogloss:0.005381+0.000120 test-mlogloss:0.921486+0.034667
## [65] train-mlogloss:0.005306+0.000117 test-mlogloss:0.923880+0.034719
## [66] train-mlogloss:0.005237+0.000113 test-mlogloss:0.925087+0.035133
## [67] train-mlogloss:0.005169+0.000109 test-mlogloss:0.926360+0.035051
## [68] train-mlogloss:0.005100+0.000107 test-mlogloss:0.928067+0.035259
## [69] train-mlogloss:0.005032+0.000109 test-mlogloss:0.929970+0.035666
## [70] train-mlogloss:0.004973+0.000104 test-mlogloss:0.931123+0.035800
## [71] train-mlogloss:0.004914+0.000102 test-mlogloss:0.932836+0.036233
## [72] train-mlogloss:0.004851+0.000097 test-mlogloss:0.934262+0.035942
## [73] train-mlogloss:0.004794+0.000095 test-mlogloss:0.935774+0.035897
## [74] train-mlogloss:0.004739+0.000094 test-mlogloss:0.937180+0.035438
## [75] train-mlogloss:0.004687+0.000096 test-mlogloss:0.938530+0.035552
## [76] train-mlogloss:0.004636+0.000094 test-mlogloss:0.939568+0.035509
## [77] train-mlogloss:0.004587+0.000093 test-mlogloss:0.941429+0.035739
## [78] train-mlogloss:0.004535+0.000092 test-mlogloss:0.942452+0.036029
## [79] train-mlogloss:0.004489+0.000090 test-mlogloss:0.943910+0.036153
## [80] train-mlogloss:0.004447+0.000087 test-mlogloss:0.945745+0.036470
## [81] train-mlogloss:0.004401+0.000085 test-mlogloss:0.947454+0.036293
## [82] train-mlogloss:0.004363+0.000085 test-mlogloss:0.948505+0.036883
## [83] train-mlogloss:0.004324+0.000084 test-mlogloss:0.949971+0.037189
## [84] train-mlogloss:0.004279+0.000082 test-mlogloss:0.951131+0.037340
## [85] train-mlogloss:0.004239+0.000082 test-mlogloss:0.952482+0.037313
## [86] train-mlogloss:0.004197+0.000081 test-mlogloss:0.953813+0.036911
## [87] train-mlogloss:0.004157+0.000080 test-mlogloss:0.955308+0.036585
## [88] train-mlogloss:0.004118+0.000076 test-mlogloss:0.956273+0.036609
## [89] train-mlogloss:0.004079+0.000075 test-mlogloss:0.957850+0.037165
## [90] train-mlogloss:0.004041+0.000071 test-mlogloss:0.959610+0.036856
## [91] train-mlogloss:0.004007+0.000070 test-mlogloss:0.961061+0.036861
## [92] train-mlogloss:0.003974+0.000068 test-mlogloss:0.962016+0.036349
## [93] train-mlogloss:0.003941+0.000068 test-mlogloss:0.962872+0.036185
## [94] train-mlogloss:0.003910+0.000068 test-mlogloss:0.964293+0.036758
## [95] train-mlogloss:0.003878+0.000065 test-mlogloss:0.964776+0.036744
## [96] train-mlogloss:0.003844+0.000065 test-mlogloss:0.965786+0.036950
## [97] train-mlogloss:0.003814+0.000063 test-mlogloss:0.967144+0.036721
## [98] train-mlogloss:0.003783+0.000062 test-mlogloss:0.968835+0.036828
## [99] train-mlogloss:0.003752+0.000059 test-mlogloss:0.969873+0.037107
## [100] train-mlogloss:0.003722+0.000058 test-mlogloss:0.971224+0.037146
## [101] train-mlogloss:0.003694+0.000058 test-mlogloss:0.972232+0.037108
## [102] train-mlogloss:0.003668+0.000058 test-mlogloss:0.973346+0.037654
## [103] train-mlogloss:0.003642+0.000058 test-mlogloss:0.974545+0.037821
## [104] train-mlogloss:0.003615+0.000058 test-mlogloss:0.975643+0.038519
## [105] train-mlogloss:0.003589+0.000058 test-mlogloss:0.976254+0.038155
## [106] train-mlogloss:0.003561+0.000057 test-mlogloss:0.976694+0.038352
## [107] train-mlogloss:0.003535+0.000055 test-mlogloss:0.978127+0.038256
## [108] train-mlogloss:0.003511+0.000055 test-mlogloss:0.978510+0.038520
## [109] train-mlogloss:0.003485+0.000051 test-mlogloss:0.979676+0.038632
## [110] train-mlogloss:0.003460+0.000052 test-mlogloss:0.981115+0.039069
## [111] train-mlogloss:0.003436+0.000051 test-mlogloss:0.982508+0.039409
## [112] train-mlogloss:0.003412+0.000050 test-mlogloss:0.983306+0.039386
## [113] train-mlogloss:0.003387+0.000048 test-mlogloss:0.984657+0.039171
## [114] train-mlogloss:0.003365+0.000047 test-mlogloss:0.985721+0.039199
## [115] train-mlogloss:0.003342+0.000046 test-mlogloss:0.986611+0.039748
## [116] train-mlogloss:0.003320+0.000043 test-mlogloss:0.987144+0.039214
## [117] train-mlogloss:0.003298+0.000042 test-mlogloss:0.988163+0.039293
## [118] train-mlogloss:0.003276+0.000041 test-mlogloss:0.989564+0.038822
## [119] train-mlogloss:0.003255+0.000039 test-mlogloss:0.990575+0.038756
## [120] train-mlogloss:0.003234+0.000038 test-mlogloss:0.991364+0.038824
## [121] train-mlogloss:0.003214+0.000039 test-mlogloss:0.992100+0.038899
## [122] train-mlogloss:0.003194+0.000039 test-mlogloss:0.992519+0.038798
## [123] train-mlogloss:0.003175+0.000038 test-mlogloss:0.993396+0.039129
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## [147] train-mlogloss:0.002786+0.000025 test-mlogloss:1.011943+0.037480
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## [201] train-mlogloss:0.002246+0.000019 test-mlogloss:1.043014+0.040287
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## [206] train-mlogloss:0.002212+0.000019 test-mlogloss:1.044951+0.040281
## [207] train-mlogloss:0.002205+0.000019 test-mlogloss:1.045687+0.040436
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## [209] train-mlogloss:0.002192+0.000018 test-mlogloss:1.046474+0.040511
## [210] train-mlogloss:0.002184+0.000018 test-mlogloss:1.047052+0.040249
## [211] train-mlogloss:0.002178+0.000018 test-mlogloss:1.047593+0.040260
## [212] train-mlogloss:0.002171+0.000018 test-mlogloss:1.047877+0.039895
## [213] train-mlogloss:0.002165+0.000019 test-mlogloss:1.048408+0.040340
## [214] train-mlogloss:0.002158+0.000020 test-mlogloss:1.048851+0.040536
## [215] train-mlogloss:0.002151+0.000020 test-mlogloss:1.049568+0.040854
## [216] train-mlogloss:0.002144+0.000019 test-mlogloss:1.050112+0.041037
## [217] train-mlogloss:0.002137+0.000019 test-mlogloss:1.050610+0.041297
## [218] train-mlogloss:0.002130+0.000020 test-mlogloss:1.050935+0.041016
## [219] train-mlogloss:0.002124+0.000019 test-mlogloss:1.051527+0.041182
## [220] train-mlogloss:0.002118+0.000018 test-mlogloss:1.052111+0.041062
## [221] train-mlogloss:0.002111+0.000018 test-mlogloss:1.052241+0.040906
## [222] train-mlogloss:0.002105+0.000018 test-mlogloss:1.052628+0.040812
## [223] train-mlogloss:0.002099+0.000018 test-mlogloss:1.053032+0.041018
## [224] train-mlogloss:0.002093+0.000018 test-mlogloss:1.053785+0.041227
## [225] train-mlogloss:0.002088+0.000018 test-mlogloss:1.054184+0.041680
## [226] train-mlogloss:0.002082+0.000018 test-mlogloss:1.054752+0.041789
## [227] train-mlogloss:0.002076+0.000018 test-mlogloss:1.054963+0.041749
## [228] train-mlogloss:0.002071+0.000017 test-mlogloss:1.055424+0.041700
## [229] train-mlogloss:0.002065+0.000018 test-mlogloss:1.055946+0.041799
## [230] train-mlogloss:0.002060+0.000018 test-mlogloss:1.056263+0.041704
## [231] train-mlogloss:0.002054+0.000018 test-mlogloss:1.056770+0.041608
## [232] train-mlogloss:0.002048+0.000017 test-mlogloss:1.057253+0.041707
## [233] train-mlogloss:0.002042+0.000017 test-mlogloss:1.057545+0.041699
## [234] train-mlogloss:0.002037+0.000017 test-mlogloss:1.057913+0.041719
## [235] train-mlogloss:0.002031+0.000016 test-mlogloss:1.058364+0.041904
## [236] train-mlogloss:0.002026+0.000016 test-mlogloss:1.058861+0.041967
## [237] train-mlogloss:0.002020+0.000016 test-mlogloss:1.059552+0.041760
## [238] train-mlogloss:0.002015+0.000016 test-mlogloss:1.059699+0.041567
## [239] train-mlogloss:0.002009+0.000016 test-mlogloss:1.060191+0.041646
## [240] train-mlogloss:0.002003+0.000016 test-mlogloss:1.060992+0.042008
## [241] train-mlogloss:0.001998+0.000016 test-mlogloss:1.061705+0.042303
## [242] train-mlogloss:0.001993+0.000016 test-mlogloss:1.062067+0.042020
## [243] train-mlogloss:0.001987+0.000016 test-mlogloss:1.062629+0.041948
## [244] train-mlogloss:0.001982+0.000016 test-mlogloss:1.063117+0.041914
## [245] train-mlogloss:0.001976+0.000016 test-mlogloss:1.063328+0.041772
## [246] train-mlogloss:0.001971+0.000016 test-mlogloss:1.063597+0.042090
## [247] train-mlogloss:0.001966+0.000016 test-mlogloss:1.064243+0.042536
## [248] train-mlogloss:0.001961+0.000017 test-mlogloss:1.064644+0.042514
## [249] train-mlogloss:0.001956+0.000017 test-mlogloss:1.064883+0.042432
## [250] train-mlogloss:0.001950+0.000017 test-mlogloss:1.065192+0.042713
## [251] train-mlogloss:0.001945+0.000017 test-mlogloss:1.065580+0.042836
## [252] train-mlogloss:0.001941+0.000017 test-mlogloss:1.065903+0.042196
## [253] train-mlogloss:0.001937+0.000017 test-mlogloss:1.065932+0.042255
## [254] train-mlogloss:0.001932+0.000017 test-mlogloss:1.066657+0.042769
## [255] train-mlogloss:0.001927+0.000017 test-mlogloss:1.067278+0.043249
## [256] train-mlogloss:0.001923+0.000017 test-mlogloss:1.067805+0.043256
## [257] train-mlogloss:0.001918+0.000017 test-mlogloss:1.068112+0.043076
## [258] train-mlogloss:0.001913+0.000017 test-mlogloss:1.068654+0.043103
## [259] train-mlogloss:0.001909+0.000017 test-mlogloss:1.069084+0.042929
## [260] train-mlogloss:0.001904+0.000017 test-mlogloss:1.069370+0.043071
## [261] train-mlogloss:0.001899+0.000018 test-mlogloss:1.069665+0.043393
## [262] train-mlogloss:0.001894+0.000018 test-mlogloss:1.070177+0.043917
## [263] train-mlogloss:0.001889+0.000018 test-mlogloss:1.070526+0.043548
## [264] train-mlogloss:0.001885+0.000018 test-mlogloss:1.071298+0.043738
## [265] train-mlogloss:0.001881+0.000018 test-mlogloss:1.071611+0.043647
## [266] train-mlogloss:0.001876+0.000018 test-mlogloss:1.072067+0.043864
## [267] train-mlogloss:0.001872+0.000018 test-mlogloss:1.072167+0.043710
## [268] train-mlogloss:0.001868+0.000019 test-mlogloss:1.072837+0.043793
## [269] train-mlogloss:0.001863+0.000019 test-mlogloss:1.073386+0.043686
## [270] train-mlogloss:0.001859+0.000018 test-mlogloss:1.073544+0.043404
## [271] train-mlogloss:0.001855+0.000019 test-mlogloss:1.074015+0.043091
## [272] train-mlogloss:0.001851+0.000019 test-mlogloss:1.074187+0.043516
## [273] train-mlogloss:0.001847+0.000019 test-mlogloss:1.074522+0.043516
## [274] train-mlogloss:0.001842+0.000018 test-mlogloss:1.075069+0.043459
## [275] train-mlogloss:0.001838+0.000018 test-mlogloss:1.075547+0.043151
## [276] train-mlogloss:0.001834+0.000017 test-mlogloss:1.076015+0.043281
## [277] train-mlogloss:0.001829+0.000018 test-mlogloss:1.076555+0.043292
## [278] train-mlogloss:0.001826+0.000018 test-mlogloss:1.077051+0.043373
## [279] train-mlogloss:0.001822+0.000018 test-mlogloss:1.077349+0.043892
## [280] train-mlogloss:0.001817+0.000018 test-mlogloss:1.077783+0.043862
## [281] train-mlogloss:0.001813+0.000017 test-mlogloss:1.078318+0.043933
## [282] train-mlogloss:0.001809+0.000017 test-mlogloss:1.078595+0.043781
## [283] train-mlogloss:0.001805+0.000017 test-mlogloss:1.078894+0.044094
## [284] train-mlogloss:0.001801+0.000017 test-mlogloss:1.079000+0.044043
## [285] train-mlogloss:0.001797+0.000017 test-mlogloss:1.079008+0.043809
## [286] train-mlogloss:0.001793+0.000017 test-mlogloss:1.079831+0.043943
## [287] train-mlogloss:0.001790+0.000017 test-mlogloss:1.079638+0.043681
## [288] train-mlogloss:0.001786+0.000016 test-mlogloss:1.080255+0.043433
## [289] train-mlogloss:0.001782+0.000017 test-mlogloss:1.080459+0.043288
## [290] train-mlogloss:0.001778+0.000017 test-mlogloss:1.080821+0.043255
## [291] train-mlogloss:0.001774+0.000017 test-mlogloss:1.081654+0.043443
## [292] train-mlogloss:0.001770+0.000017 test-mlogloss:1.081816+0.043502
## [293] train-mlogloss:0.001766+0.000017 test-mlogloss:1.081984+0.043653
## [294] train-mlogloss:0.001762+0.000016 test-mlogloss:1.082375+0.043455
## [295] train-mlogloss:0.001759+0.000016 test-mlogloss:1.082960+0.043632
## [296] train-mlogloss:0.001755+0.000017 test-mlogloss:1.083096+0.043994
## [297] train-mlogloss:0.001752+0.000016 test-mlogloss:1.083378+0.043910
## [298] train-mlogloss:0.001748+0.000016 test-mlogloss:1.083747+0.043766
## [299] train-mlogloss:0.001744+0.000016 test-mlogloss:1.083909+0.043823
## [300] train-mlogloss:0.001740+0.000016 test-mlogloss:1.084500+0.043615
## [301] train-mlogloss:0.001737+0.000016 test-mlogloss:1.084853+0.043625
## [302] train-mlogloss:0.001733+0.000016 test-mlogloss:1.085130+0.043406
## [303] train-mlogloss:0.001730+0.000016 test-mlogloss:1.085468+0.043410
## [304] train-mlogloss:0.001726+0.000016 test-mlogloss:1.085526+0.043595
## [305] train-mlogloss:0.001723+0.000015 test-mlogloss:1.085668+0.043787
## [306] train-mlogloss:0.001720+0.000015 test-mlogloss:1.086313+0.043778
## [307] train-mlogloss:0.001716+0.000015 test-mlogloss:1.086452+0.043619
## [308] train-mlogloss:0.001713+0.000016 test-mlogloss:1.087118+0.043479
## [309] train-mlogloss:0.001709+0.000015 test-mlogloss:1.087238+0.043571
## [310] train-mlogloss:0.001706+0.000015 test-mlogloss:1.087662+0.043994
## [311] train-mlogloss:0.001703+0.000015 test-mlogloss:1.087768+0.044362
## [312] train-mlogloss:0.001699+0.000015 test-mlogloss:1.088209+0.043950
## [313] train-mlogloss:0.001696+0.000015 test-mlogloss:1.088583+0.043951
## [314] train-mlogloss:0.001693+0.000015 test-mlogloss:1.089072+0.043990
## [315] train-mlogloss:0.001689+0.000015 test-mlogloss:1.089495+0.044191
## [316] train-mlogloss:0.001686+0.000015 test-mlogloss:1.089961+0.044298
## [317] train-mlogloss:0.001683+0.000015 test-mlogloss:1.090337+0.044224
## [318] train-mlogloss:0.001680+0.000016 test-mlogloss:1.090369+0.044224
## [319] train-mlogloss:0.001677+0.000016 test-mlogloss:1.091349+0.044229
## [320] train-mlogloss:0.001674+0.000016 test-mlogloss:1.091693+0.044090
## [321] train-mlogloss:0.001670+0.000016 test-mlogloss:1.091819+0.043808
## [322] train-mlogloss:0.001667+0.000016 test-mlogloss:1.092001+0.043856
## [323] train-mlogloss:0.001664+0.000016 test-mlogloss:1.092186+0.043829
## [324] train-mlogloss:0.001661+0.000016 test-mlogloss:1.092423+0.043816
## [325] train-mlogloss:0.001658+0.000015 test-mlogloss:1.092556+0.044131
## [326] train-mlogloss:0.001655+0.000015 test-mlogloss:1.092906+0.043965
## [327] train-mlogloss:0.001652+0.000015 test-mlogloss:1.093634+0.043758
## [328] train-mlogloss:0.001649+0.000015 test-mlogloss:1.093773+0.043454
## [329] train-mlogloss:0.001646+0.000015 test-mlogloss:1.094083+0.043538
## [330] train-mlogloss:0.001643+0.000015 test-mlogloss:1.094302+0.043560
## [331] train-mlogloss:0.001640+0.000015 test-mlogloss:1.094787+0.043530
## [332] train-mlogloss:0.001637+0.000015 test-mlogloss:1.095000+0.043307
## [333] train-mlogloss:0.001634+0.000015 test-mlogloss:1.095272+0.043382
## [334] train-mlogloss:0.001631+0.000014 test-mlogloss:1.095291+0.043403
## [335] train-mlogloss:0.001628+0.000014 test-mlogloss:1.095864+0.043248
## [336] train-mlogloss:0.001625+0.000014 test-mlogloss:1.095914+0.043425
## [337] train-mlogloss:0.001622+0.000014 test-mlogloss:1.096394+0.043516
## [338] train-mlogloss:0.001619+0.000013 test-mlogloss:1.096634+0.043702
## [339] train-mlogloss:0.001617+0.000013 test-mlogloss:1.097250+0.043300
## [340] train-mlogloss:0.001614+0.000013 test-mlogloss:1.097647+0.043225
## [341] train-mlogloss:0.001611+0.000013 test-mlogloss:1.097939+0.043090
## [342] train-mlogloss:0.001609+0.000013 test-mlogloss:1.098173+0.042922
## [343] train-mlogloss:0.001606+0.000012 test-mlogloss:1.098647+0.043200
## [344] train-mlogloss:0.001603+0.000012 test-mlogloss:1.098949+0.043271
## [345] train-mlogloss:0.001600+0.000013 test-mlogloss:1.099206+0.043310
## [346] train-mlogloss:0.001597+0.000013 test-mlogloss:1.099593+0.043059
## [347] train-mlogloss:0.001595+0.000012 test-mlogloss:1.099747+0.043245
## [348] train-mlogloss:0.001591+0.000012 test-mlogloss:1.100296+0.043490
## [349] train-mlogloss:0.001589+0.000013 test-mlogloss:1.100668+0.043423
## [350] train-mlogloss:0.001586+0.000013 test-mlogloss:1.101277+0.043398
## [351] train-mlogloss:0.001583+0.000013 test-mlogloss:1.101567+0.043292
## [352] train-mlogloss:0.001580+0.000012 test-mlogloss:1.101740+0.043223
## [353] train-mlogloss:0.001578+0.000012 test-mlogloss:1.101777+0.043276
## [354] train-mlogloss:0.001575+0.000013 test-mlogloss:1.102171+0.043181
## [355] train-mlogloss:0.001572+0.000013 test-mlogloss:1.102440+0.043298
## [356] train-mlogloss:0.001570+0.000013 test-mlogloss:1.102986+0.043600
## [357] train-mlogloss:0.001567+0.000013 test-mlogloss:1.103452+0.043484
## [358] train-mlogloss:0.001564+0.000013 test-mlogloss:1.103601+0.043458
## [359] train-mlogloss:0.001562+0.000013 test-mlogloss:1.103940+0.043510
## [360] train-mlogloss:0.001559+0.000013 test-mlogloss:1.104265+0.043284
## [361] train-mlogloss:0.001557+0.000013 test-mlogloss:1.104304+0.043357
## [362] train-mlogloss:0.001554+0.000012 test-mlogloss:1.104263+0.043173
## [363] train-mlogloss:0.001552+0.000013 test-mlogloss:1.104676+0.043149
## [364] train-mlogloss:0.001549+0.000013 test-mlogloss:1.105066+0.043412
## [365] train-mlogloss:0.001547+0.000012 test-mlogloss:1.105394+0.043495
## [366] train-mlogloss:0.001544+0.000013 test-mlogloss:1.105535+0.043837
## [367] train-mlogloss:0.001542+0.000013 test-mlogloss:1.105664+0.043957
## [368] train-mlogloss:0.001539+0.000012 test-mlogloss:1.106026+0.043934
## [369] train-mlogloss:0.001536+0.000012 test-mlogloss:1.106638+0.043763
## [370] train-mlogloss:0.001534+0.000012 test-mlogloss:1.106979+0.043870
## [371] train-mlogloss:0.001532+0.000012 test-mlogloss:1.107266+0.043981
## [372] train-mlogloss:0.001529+0.000012 test-mlogloss:1.107593+0.043905
## [373] train-mlogloss:0.001526+0.000012 test-mlogloss:1.107645+0.043930
## [374] train-mlogloss:0.001524+0.000012 test-mlogloss:1.108080+0.044063
## [375] train-mlogloss:0.001522+0.000012 test-mlogloss:1.108348+0.044278
## [376] train-mlogloss:0.001519+0.000012 test-mlogloss:1.108519+0.044143
## [377] train-mlogloss:0.001517+0.000012 test-mlogloss:1.108705+0.043869
## [378] train-mlogloss:0.001514+0.000012 test-mlogloss:1.108992+0.043762
## [379] train-mlogloss:0.001512+0.000012 test-mlogloss:1.109161+0.043500
## [380] train-mlogloss:0.001510+0.000012 test-mlogloss:1.109572+0.043766
## [381] train-mlogloss:0.001507+0.000012 test-mlogloss:1.110145+0.043635
## [382] train-mlogloss:0.001505+0.000011 test-mlogloss:1.110620+0.043588
## [383] train-mlogloss:0.001503+0.000012 test-mlogloss:1.110845+0.043721
## [384] train-mlogloss:0.001501+0.000011 test-mlogloss:1.111246+0.043808
## [385] train-mlogloss:0.001498+0.000011 test-mlogloss:1.111286+0.043818
## [386] train-mlogloss:0.001496+0.000011 test-mlogloss:1.111631+0.043703
## [387] train-mlogloss:0.001494+0.000011 test-mlogloss:1.111877+0.043789
## [388] train-mlogloss:0.001492+0.000011 test-mlogloss:1.112329+0.043471
## [389] train-mlogloss:0.001490+0.000011 test-mlogloss:1.112566+0.043769
## [390] train-mlogloss:0.001487+0.000011 test-mlogloss:1.113061+0.043575
## [391] train-mlogloss:0.001485+0.000011 test-mlogloss:1.113271+0.043408
## [392] train-mlogloss:0.001482+0.000011 test-mlogloss:1.113773+0.043378
## [393] train-mlogloss:0.001480+0.000011 test-mlogloss:1.114289+0.043528
## [394] train-mlogloss:0.001478+0.000011 test-mlogloss:1.114410+0.043436
## [395] train-mlogloss:0.001476+0.000011 test-mlogloss:1.114640+0.043398
## [396] train-mlogloss:0.001474+0.000011 test-mlogloss:1.114990+0.043337
## [397] train-mlogloss:0.001472+0.000011 test-mlogloss:1.115049+0.043124
## [398] train-mlogloss:0.001470+0.000011 test-mlogloss:1.115151+0.043127
## [399] train-mlogloss:0.001468+0.000011 test-mlogloss:1.115344+0.043352
## [400] train-mlogloss:0.001466+0.000011 test-mlogloss:1.115594+0.043259
## [401] train-mlogloss:0.001464+0.000011 test-mlogloss:1.115944+0.043276
## [402] train-mlogloss:0.001462+0.000011 test-mlogloss:1.116233+0.043376
## [403] train-mlogloss:0.001460+0.000011 test-mlogloss:1.116564+0.043505
## [404] train-mlogloss:0.001457+0.000011 test-mlogloss:1.116765+0.043552
## [405] train-mlogloss:0.001455+0.000011 test-mlogloss:1.117187+0.043369
## [406] train-mlogloss:0.001453+0.000011 test-mlogloss:1.117473+0.043408
## [407] train-mlogloss:0.001451+0.000011 test-mlogloss:1.117831+0.043345
## [408] train-mlogloss:0.001449+0.000011 test-mlogloss:1.118157+0.043229
## [409] train-mlogloss:0.001447+0.000011 test-mlogloss:1.118616+0.043245
## [410] train-mlogloss:0.001445+0.000011 test-mlogloss:1.119068+0.043019
## [411] train-mlogloss:0.001442+0.000011 test-mlogloss:1.119189+0.042760
## [412] train-mlogloss:0.001440+0.000010 test-mlogloss:1.119334+0.042707
## [413] train-mlogloss:0.001438+0.000010 test-mlogloss:1.119734+0.042862
## [414] train-mlogloss:0.001437+0.000010 test-mlogloss:1.120199+0.042771
## [415] train-mlogloss:0.001434+0.000010 test-mlogloss:1.120482+0.042841
## [416] train-mlogloss:0.001432+0.000010 test-mlogloss:1.120722+0.042863
## [417] train-mlogloss:0.001430+0.000010 test-mlogloss:1.120872+0.043049
## [418] train-mlogloss:0.001428+0.000010 test-mlogloss:1.121044+0.043152
## [419] train-mlogloss:0.001426+0.000010 test-mlogloss:1.121385+0.043275
## [420] train-mlogloss:0.001424+0.000010 test-mlogloss:1.121818+0.043357
## [421] train-mlogloss:0.001422+0.000010 test-mlogloss:1.121920+0.043360
## [422] train-mlogloss:0.001420+0.000010 test-mlogloss:1.122000+0.043416
## [423] train-mlogloss:0.001418+0.000010 test-mlogloss:1.122290+0.043430
## [424] train-mlogloss:0.001416+0.000010 test-mlogloss:1.122498+0.043489
## [425] train-mlogloss:0.001414+0.000010 test-mlogloss:1.122768+0.043579
## [426] train-mlogloss:0.001413+0.000009 test-mlogloss:1.122827+0.043647
## [427] train-mlogloss:0.001411+0.000010 test-mlogloss:1.123126+0.043669
## [428] train-mlogloss:0.001409+0.000010 test-mlogloss:1.122982+0.043577
## [429] train-mlogloss:0.001407+0.000010 test-mlogloss:1.123213+0.043653
## [430] train-mlogloss:0.001405+0.000010 test-mlogloss:1.123323+0.043711
## [431] train-mlogloss:0.001404+0.000009 test-mlogloss:1.123651+0.043574
## [432] train-mlogloss:0.001402+0.000009 test-mlogloss:1.124069+0.043659
## [433] train-mlogloss:0.001400+0.000009 test-mlogloss:1.124434+0.043654
## [434] train-mlogloss:0.001398+0.000009 test-mlogloss:1.124473+0.043685
## [435] train-mlogloss:0.001396+0.000009 test-mlogloss:1.124784+0.043625
## [436] train-mlogloss:0.001394+0.000010 test-mlogloss:1.124974+0.043748
## [437] train-mlogloss:0.001393+0.000009 test-mlogloss:1.125300+0.043713
## [438] train-mlogloss:0.001390+0.000009 test-mlogloss:1.125616+0.043922
## [439] train-mlogloss:0.001388+0.000009 test-mlogloss:1.125655+0.044097
## [440] train-mlogloss:0.001387+0.000009 test-mlogloss:1.125945+0.044183
## [441] train-mlogloss:0.001385+0.000009 test-mlogloss:1.126344+0.044051
## [442] train-mlogloss:0.001383+0.000009 test-mlogloss:1.126673+0.043939
## [443] train-mlogloss:0.001381+0.000009 test-mlogloss:1.126878+0.044064
## [444] train-mlogloss:0.001380+0.000009 test-mlogloss:1.127134+0.044308
## [445] train-mlogloss:0.001378+0.000010 test-mlogloss:1.127492+0.044204
## [446] train-mlogloss:0.001376+0.000010 test-mlogloss:1.127735+0.044196
## [447] train-mlogloss:0.001374+0.000010 test-mlogloss:1.127833+0.044047
## [448] train-mlogloss:0.001373+0.000010 test-mlogloss:1.127890+0.044522
## [449] train-mlogloss:0.001371+0.000010 test-mlogloss:1.127933+0.044561
## [450] train-mlogloss:0.001369+0.000010 test-mlogloss:1.128222+0.044241
## [451] train-mlogloss:0.001367+0.000010 test-mlogloss:1.128602+0.044167
## [452] train-mlogloss:0.001365+0.000010 test-mlogloss:1.129027+0.044505
## [453] train-mlogloss:0.001364+0.000010 test-mlogloss:1.129441+0.044479
## [454] train-mlogloss:0.001362+0.000009 test-mlogloss:1.129474+0.044682
## [455] train-mlogloss:0.001360+0.000009 test-mlogloss:1.129739+0.044515
## [456] train-mlogloss:0.001359+0.000009 test-mlogloss:1.130018+0.044460
## [457] train-mlogloss:0.001357+0.000009 test-mlogloss:1.130121+0.044439
## [458] train-mlogloss:0.001355+0.000010 test-mlogloss:1.130367+0.044435
## [459] train-mlogloss:0.001354+0.000010 test-mlogloss:1.130683+0.044401
## [460] train-mlogloss:0.001352+0.000009 test-mlogloss:1.130804+0.044491
## [461] train-mlogloss:0.001350+0.000010 test-mlogloss:1.131088+0.044273
## [462] train-mlogloss:0.001348+0.000010 test-mlogloss:1.131000+0.044258
## [463] train-mlogloss:0.001347+0.000010 test-mlogloss:1.131119+0.044462
## [464] train-mlogloss:0.001345+0.000010 test-mlogloss:1.131254+0.044427
## [465] train-mlogloss:0.001343+0.000010 test-mlogloss:1.131372+0.044277
## [466] train-mlogloss:0.001342+0.000010 test-mlogloss:1.131614+0.044270
## [467] train-mlogloss:0.001340+0.000010 test-mlogloss:1.131993+0.044320
## [468] train-mlogloss:0.001339+0.000010 test-mlogloss:1.132055+0.044346
## [469] train-mlogloss:0.001337+0.000010 test-mlogloss:1.132495+0.044247
## [470] train-mlogloss:0.001335+0.000010 test-mlogloss:1.132743+0.044243
## [471] train-mlogloss:0.001334+0.000010 test-mlogloss:1.132810+0.044516
## [472] train-mlogloss:0.001332+0.000010 test-mlogloss:1.133113+0.044316
## [473] train-mlogloss:0.001330+0.000010 test-mlogloss:1.133576+0.044375
## [474] train-mlogloss:0.001329+0.000010 test-mlogloss:1.133492+0.044599
## [475] train-mlogloss:0.001327+0.000010 test-mlogloss:1.133667+0.044932
## [476] train-mlogloss:0.001326+0.000010 test-mlogloss:1.133768+0.044757
## [477] train-mlogloss:0.001324+0.000010 test-mlogloss:1.133888+0.044818
## [478] train-mlogloss:0.001322+0.000009 test-mlogloss:1.133974+0.044719
## [479] train-mlogloss:0.001321+0.000009 test-mlogloss:1.134339+0.044799
## [480] train-mlogloss:0.001319+0.000009 test-mlogloss:1.134475+0.044418
## [481] train-mlogloss:0.001318+0.000010 test-mlogloss:1.134746+0.044488
## [482] train-mlogloss:0.001316+0.000009 test-mlogloss:1.134823+0.044449
## [483] train-mlogloss:0.001314+0.000010 test-mlogloss:1.135184+0.044488
## [484] train-mlogloss:0.001313+0.000010 test-mlogloss:1.135132+0.044738
## [485] train-mlogloss:0.001312+0.000010 test-mlogloss:1.135370+0.044542
## [486] train-mlogloss:0.001310+0.000010 test-mlogloss:1.135642+0.044510
## [487] train-mlogloss:0.001309+0.000010 test-mlogloss:1.136045+0.044526
## [488] train-mlogloss:0.001307+0.000010 test-mlogloss:1.136364+0.044416
## [489] train-mlogloss:0.001306+0.000010 test-mlogloss:1.136423+0.044481
## [490] train-mlogloss:0.001304+0.000010 test-mlogloss:1.136744+0.044555
## [491] train-mlogloss:0.001303+0.000010 test-mlogloss:1.137018+0.044592
## [492] train-mlogloss:0.001301+0.000010 test-mlogloss:1.137212+0.044428
## [493] train-mlogloss:0.001300+0.000010 test-mlogloss:1.137360+0.044499
## [494] train-mlogloss:0.001298+0.000010 test-mlogloss:1.137582+0.044423
## [495] train-mlogloss:0.001297+0.000010 test-mlogloss:1.137907+0.044390
## [496] train-mlogloss:0.001295+0.000010 test-mlogloss:1.138135+0.044604
## [497] train-mlogloss:0.001294+0.000010 test-mlogloss:1.138141+0.044499
## [498] train-mlogloss:0.001292+0.000010 test-mlogloss:1.138281+0.044255
## [499] train-mlogloss:0.001291+0.000010 test-mlogloss:1.138486+0.044155
## [500] train-mlogloss:0.001289+0.000010 test-mlogloss:1.138740+0.044536
## [1] train-mlogloss:0.522794+0.001543 test-mlogloss:0.548039+0.004844
## [2] train-mlogloss:0.500140+0.001645 test-mlogloss:0.544545+0.007536
## [3] train-mlogloss:0.490632+0.003059 test-mlogloss:0.547735+0.006806
## [4] train-mlogloss:0.479691+0.004797 test-mlogloss:0.551601+0.007767
## [5] train-mlogloss:0.470306+0.004000 test-mlogloss:0.558731+0.005919
## [6] train-mlogloss:0.462287+0.001777 test-mlogloss:0.561763+0.007264
## [7] train-mlogloss:0.453741+0.005650 test-mlogloss:0.565762+0.010543
## [8] train-mlogloss:0.445286+0.005302 test-mlogloss:0.569149+0.009587
## [9] train-mlogloss:0.433780+0.004757 test-mlogloss:0.573960+0.011295
## [10] train-mlogloss:0.426831+0.004558 test-mlogloss:0.575930+0.010715
## [11] train-mlogloss:0.419786+0.005297 test-mlogloss:0.578016+0.013192
## [12] train-mlogloss:0.412703+0.006143 test-mlogloss:0.581348+0.011215
## [13] train-mlogloss:0.406743+0.005445 test-mlogloss:0.583303+0.009130
## [14] train-mlogloss:0.400932+0.006559 test-mlogloss:0.585812+0.009729
## [15] train-mlogloss:0.393973+0.008176 test-mlogloss:0.588374+0.009617
## [16] train-mlogloss:0.387007+0.009386 test-mlogloss:0.590115+0.010339
## [17] train-mlogloss:0.380327+0.008784 test-mlogloss:0.593320+0.010260
## [18] train-mlogloss:0.373821+0.009162 test-mlogloss:0.597663+0.011079
## [19] train-mlogloss:0.365727+0.009106 test-mlogloss:0.599486+0.010867
## [20] train-mlogloss:0.359174+0.010114 test-mlogloss:0.602036+0.009866
## [21] train-mlogloss:0.353589+0.009777 test-mlogloss:0.604906+0.010465
## [22] train-mlogloss:0.345668+0.009789 test-mlogloss:0.608650+0.010476
## [23] train-mlogloss:0.338796+0.009605 test-mlogloss:0.611020+0.008687
## [24] train-mlogloss:0.331396+0.008709 test-mlogloss:0.613941+0.007146
## [25] train-mlogloss:0.325089+0.007590 test-mlogloss:0.618848+0.007151
## [26] train-mlogloss:0.319859+0.008491 test-mlogloss:0.622495+0.008001
## [27] train-mlogloss:0.316103+0.006403 test-mlogloss:0.625503+0.009406
## [28] train-mlogloss:0.310449+0.007227 test-mlogloss:0.630244+0.009121
## [29] train-mlogloss:0.306609+0.007699 test-mlogloss:0.632153+0.010592
## [30] train-mlogloss:0.301462+0.008717 test-mlogloss:0.634523+0.010382
## [31] train-mlogloss:0.297575+0.008891 test-mlogloss:0.639490+0.010722
## [32] train-mlogloss:0.291998+0.009087 test-mlogloss:0.642869+0.010428
## [33] train-mlogloss:0.284646+0.008861 test-mlogloss:0.648188+0.011099
## [34] train-mlogloss:0.278900+0.008435 test-mlogloss:0.651262+0.010668
## [35] train-mlogloss:0.273403+0.007746 test-mlogloss:0.653399+0.009413
## [36] train-mlogloss:0.268970+0.006963 test-mlogloss:0.656795+0.008345
## [37] train-mlogloss:0.264400+0.007843 test-mlogloss:0.660186+0.009247
## [38] train-mlogloss:0.259956+0.007326 test-mlogloss:0.663595+0.008639
## [39] train-mlogloss:0.255476+0.008152 test-mlogloss:0.665200+0.009401
## [40] train-mlogloss:0.250575+0.007436 test-mlogloss:0.669020+0.007414
## [41] train-mlogloss:0.246696+0.006781 test-mlogloss:0.670314+0.007146
## [42] train-mlogloss:0.242361+0.007528 test-mlogloss:0.673845+0.006909
## [43] train-mlogloss:0.237147+0.006967 test-mlogloss:0.677767+0.009168
## [44] train-mlogloss:0.232825+0.007101 test-mlogloss:0.681343+0.009968
## [45] train-mlogloss:0.229750+0.006844 test-mlogloss:0.682014+0.007972
## [46] train-mlogloss:0.225480+0.007689 test-mlogloss:0.684842+0.009446
## [47] train-mlogloss:0.221279+0.008865 test-mlogloss:0.686553+0.010789
## [48] train-mlogloss:0.217488+0.009969 test-mlogloss:0.688405+0.011336
## [49] train-mlogloss:0.214138+0.011068 test-mlogloss:0.689835+0.010851
## [50] train-mlogloss:0.209407+0.011107 test-mlogloss:0.691962+0.011115
## [51] train-mlogloss:0.205937+0.011599 test-mlogloss:0.693865+0.012091
## [52] train-mlogloss:0.202675+0.010819 test-mlogloss:0.696331+0.011659
## [53] train-mlogloss:0.197895+0.010400 test-mlogloss:0.701510+0.012840
## [54] train-mlogloss:0.193607+0.010117 test-mlogloss:0.705247+0.011697
## [55] train-mlogloss:0.190134+0.009986 test-mlogloss:0.707806+0.011228
## [56] train-mlogloss:0.187787+0.010630 test-mlogloss:0.709754+0.011768
## [57] train-mlogloss:0.184099+0.010637 test-mlogloss:0.710999+0.013190
## [58] train-mlogloss:0.181471+0.010214 test-mlogloss:0.713598+0.012860
## [59] train-mlogloss:0.178009+0.010426 test-mlogloss:0.716442+0.012225
## [60] train-mlogloss:0.175665+0.010138 test-mlogloss:0.718374+0.012137
## [61] train-mlogloss:0.172782+0.009742 test-mlogloss:0.719763+0.013252
## [62] train-mlogloss:0.170010+0.008724 test-mlogloss:0.721496+0.014075
## [63] train-mlogloss:0.166689+0.008280 test-mlogloss:0.724209+0.013860
## [64] train-mlogloss:0.163414+0.008770 test-mlogloss:0.725958+0.014689
## [65] train-mlogloss:0.159846+0.008370 test-mlogloss:0.729732+0.014792
## [66] train-mlogloss:0.156533+0.007683 test-mlogloss:0.732607+0.014149
## [67] train-mlogloss:0.154421+0.006885 test-mlogloss:0.735709+0.012719
## [68] train-mlogloss:0.151251+0.005885 test-mlogloss:0.736290+0.014949
## [69] train-mlogloss:0.148672+0.005736 test-mlogloss:0.738879+0.012537
## [70] train-mlogloss:0.145855+0.005597 test-mlogloss:0.741226+0.012790
## [71] train-mlogloss:0.143251+0.005814 test-mlogloss:0.742359+0.013866
## [72] train-mlogloss:0.141772+0.006155 test-mlogloss:0.743973+0.014654
## [73] train-mlogloss:0.139278+0.005477 test-mlogloss:0.745502+0.014378
## [74] train-mlogloss:0.136894+0.006172 test-mlogloss:0.747155+0.014923
## [75] train-mlogloss:0.135075+0.006450 test-mlogloss:0.748005+0.013679
## [76] train-mlogloss:0.132286+0.006555 test-mlogloss:0.752123+0.013726
## [77] train-mlogloss:0.129743+0.005602 test-mlogloss:0.755577+0.013030
## [78] train-mlogloss:0.127450+0.005686 test-mlogloss:0.760151+0.012187
## [79] train-mlogloss:0.124927+0.005568 test-mlogloss:0.763139+0.011033
## [80] train-mlogloss:0.122683+0.005075 test-mlogloss:0.765780+0.011116
## [81] train-mlogloss:0.121144+0.004512 test-mlogloss:0.767945+0.009044
## [82] train-mlogloss:0.119188+0.003923 test-mlogloss:0.770484+0.008979
## [83] train-mlogloss:0.117428+0.004596 test-mlogloss:0.772405+0.009690
## [84] train-mlogloss:0.115257+0.004255 test-mlogloss:0.775079+0.010706
## [85] train-mlogloss:0.113131+0.003500 test-mlogloss:0.775212+0.009931
## [86] train-mlogloss:0.111466+0.003250 test-mlogloss:0.777271+0.010021
## [87] train-mlogloss:0.110161+0.003465 test-mlogloss:0.779758+0.010175
## [88] train-mlogloss:0.108727+0.003478 test-mlogloss:0.782008+0.009986
## [89] train-mlogloss:0.106766+0.004063 test-mlogloss:0.783937+0.009789
## [90] train-mlogloss:0.105023+0.004539 test-mlogloss:0.785665+0.010039
## [91] train-mlogloss:0.103625+0.005170 test-mlogloss:0.787325+0.011032
## [92] train-mlogloss:0.102140+0.005298 test-mlogloss:0.788899+0.011380
## [93] train-mlogloss:0.100348+0.005536 test-mlogloss:0.790751+0.011812
## [94] train-mlogloss:0.098629+0.005689 test-mlogloss:0.792173+0.011521
## [95] train-mlogloss:0.096810+0.005483 test-mlogloss:0.793598+0.010470
## [96] train-mlogloss:0.095644+0.005394 test-mlogloss:0.796181+0.010307
## [97] train-mlogloss:0.094002+0.006023 test-mlogloss:0.797467+0.011252
## [98] train-mlogloss:0.092153+0.005644 test-mlogloss:0.799841+0.010957
## [99] train-mlogloss:0.090777+0.005431 test-mlogloss:0.801099+0.011080
## [100] train-mlogloss:0.089548+0.005500 test-mlogloss:0.803045+0.011705
## [101] train-mlogloss:0.088141+0.004950 test-mlogloss:0.805824+0.012919
## [102] train-mlogloss:0.086642+0.004703 test-mlogloss:0.806848+0.013677
## [103] train-mlogloss:0.085152+0.004278 test-mlogloss:0.809945+0.014352
## [104] train-mlogloss:0.083716+0.004289 test-mlogloss:0.813724+0.016845
## [105] train-mlogloss:0.082042+0.003859 test-mlogloss:0.817022+0.015380
## [106] train-mlogloss:0.080215+0.003570 test-mlogloss:0.819492+0.013761
## [107] train-mlogloss:0.079182+0.003326 test-mlogloss:0.820275+0.014285
## [108] train-mlogloss:0.077952+0.003461 test-mlogloss:0.822387+0.015141
## [109] train-mlogloss:0.076260+0.003125 test-mlogloss:0.824514+0.015064
## [110] train-mlogloss:0.075056+0.003125 test-mlogloss:0.827452+0.014813
## [111] train-mlogloss:0.074095+0.003241 test-mlogloss:0.828439+0.014482
## [112] train-mlogloss:0.072789+0.003188 test-mlogloss:0.829770+0.014116
## [113] train-mlogloss:0.071724+0.003172 test-mlogloss:0.831748+0.014229
## [114] train-mlogloss:0.070950+0.003275 test-mlogloss:0.833235+0.015173
## [115] train-mlogloss:0.069972+0.003289 test-mlogloss:0.836078+0.016032
## [116] train-mlogloss:0.069242+0.003323 test-mlogloss:0.837181+0.016304
## [117] train-mlogloss:0.068244+0.003012 test-mlogloss:0.838662+0.015963
## [118] train-mlogloss:0.067100+0.002870 test-mlogloss:0.840339+0.016643
## [119] train-mlogloss:0.066116+0.002751 test-mlogloss:0.841858+0.016928
## [120] train-mlogloss:0.065163+0.003205 test-mlogloss:0.842988+0.017534
## [121] train-mlogloss:0.064016+0.003107 test-mlogloss:0.844404+0.017370
## [122] train-mlogloss:0.063147+0.003266 test-mlogloss:0.845413+0.018274
## [123] train-mlogloss:0.062113+0.003188 test-mlogloss:0.847288+0.017615
## [124] train-mlogloss:0.061227+0.003149 test-mlogloss:0.849307+0.017363
## [125] train-mlogloss:0.060307+0.003045 test-mlogloss:0.849874+0.016554
## [126] train-mlogloss:0.059281+0.003085 test-mlogloss:0.851952+0.017153
## [127] train-mlogloss:0.058671+0.003169 test-mlogloss:0.852738+0.017576
## [128] train-mlogloss:0.057863+0.002960 test-mlogloss:0.855007+0.017895
## [129] train-mlogloss:0.057148+0.003187 test-mlogloss:0.856111+0.017411
## [130] train-mlogloss:0.056424+0.003477 test-mlogloss:0.858230+0.018464
## [131] train-mlogloss:0.055488+0.003385 test-mlogloss:0.859678+0.018164
## [132] train-mlogloss:0.054461+0.003160 test-mlogloss:0.861267+0.017295
## [133] train-mlogloss:0.053902+0.003048 test-mlogloss:0.863899+0.016912
## [134] train-mlogloss:0.053262+0.002799 test-mlogloss:0.865120+0.017859
## [135] train-mlogloss:0.052546+0.002614 test-mlogloss:0.867052+0.017838
## [136] train-mlogloss:0.051619+0.002510 test-mlogloss:0.867636+0.018566
## [137] train-mlogloss:0.050660+0.002381 test-mlogloss:0.870910+0.019321
## [138] train-mlogloss:0.049846+0.002187 test-mlogloss:0.872265+0.019620
## [139] train-mlogloss:0.049200+0.002192 test-mlogloss:0.873720+0.019467
## [140] train-mlogloss:0.048556+0.002362 test-mlogloss:0.875394+0.019519
## [141] train-mlogloss:0.047896+0.002182 test-mlogloss:0.877960+0.019015
## [142] train-mlogloss:0.047205+0.002068 test-mlogloss:0.880223+0.018834
## [143] train-mlogloss:0.046776+0.002131 test-mlogloss:0.881011+0.019235
## [144] train-mlogloss:0.046116+0.002203 test-mlogloss:0.882449+0.019260
## [145] train-mlogloss:0.045397+0.002140 test-mlogloss:0.884990+0.018591
## [146] train-mlogloss:0.044647+0.002076 test-mlogloss:0.887229+0.019193
## [147] train-mlogloss:0.043984+0.002088 test-mlogloss:0.889847+0.019412
## [148] train-mlogloss:0.043349+0.002294 test-mlogloss:0.891428+0.020891
## [149] train-mlogloss:0.042878+0.002283 test-mlogloss:0.892705+0.020995
## [150] train-mlogloss:0.042116+0.002171 test-mlogloss:0.894664+0.021695
## [151] train-mlogloss:0.041799+0.002053 test-mlogloss:0.895703+0.020644
## [152] train-mlogloss:0.041212+0.001974 test-mlogloss:0.897428+0.020901
## [153] train-mlogloss:0.040567+0.002011 test-mlogloss:0.899235+0.021902
## [154] train-mlogloss:0.039920+0.001905 test-mlogloss:0.900227+0.022141
## [155] train-mlogloss:0.039398+0.001797 test-mlogloss:0.902559+0.022976
## [156] train-mlogloss:0.038964+0.001694 test-mlogloss:0.904282+0.022395
## [157] train-mlogloss:0.038327+0.001615 test-mlogloss:0.905513+0.022441
## [158] train-mlogloss:0.037772+0.001742 test-mlogloss:0.907798+0.022719
## [159] train-mlogloss:0.037149+0.001745 test-mlogloss:0.910177+0.021296
## [160] train-mlogloss:0.036638+0.001830 test-mlogloss:0.912280+0.021671
## [161] train-mlogloss:0.036319+0.001856 test-mlogloss:0.913842+0.022087
## [162] train-mlogloss:0.035786+0.001852 test-mlogloss:0.915178+0.022606
## [163] train-mlogloss:0.035439+0.001865 test-mlogloss:0.917069+0.022753
## [164] train-mlogloss:0.035053+0.001902 test-mlogloss:0.918610+0.022063
## [165] train-mlogloss:0.034651+0.001982 test-mlogloss:0.921028+0.023293
## [166] train-mlogloss:0.034244+0.001997 test-mlogloss:0.921815+0.023075
## [167] train-mlogloss:0.033837+0.001897 test-mlogloss:0.923393+0.023058
## [168] train-mlogloss:0.033443+0.001963 test-mlogloss:0.923444+0.022607
## [169] train-mlogloss:0.033142+0.002075 test-mlogloss:0.924340+0.023041
## [170] train-mlogloss:0.032785+0.002016 test-mlogloss:0.926628+0.022060
## [171] train-mlogloss:0.032345+0.002112 test-mlogloss:0.928524+0.021862
## [172] train-mlogloss:0.031917+0.002093 test-mlogloss:0.928867+0.022232
## [173] train-mlogloss:0.031495+0.002070 test-mlogloss:0.930374+0.022126
## [174] train-mlogloss:0.031077+0.001993 test-mlogloss:0.931861+0.022794
## [175] train-mlogloss:0.030638+0.001843 test-mlogloss:0.933129+0.022279
## [176] train-mlogloss:0.030217+0.001841 test-mlogloss:0.934914+0.021921
## [177] train-mlogloss:0.029932+0.001805 test-mlogloss:0.935739+0.023294
## [178] train-mlogloss:0.029626+0.001866 test-mlogloss:0.937539+0.023693
## [179] train-mlogloss:0.029154+0.001741 test-mlogloss:0.938545+0.022988
## [180] train-mlogloss:0.028789+0.001665 test-mlogloss:0.939925+0.023012
## [181] train-mlogloss:0.028341+0.001578 test-mlogloss:0.941438+0.022628
## [182] train-mlogloss:0.028052+0.001544 test-mlogloss:0.942612+0.023250
## [183] train-mlogloss:0.027750+0.001391 test-mlogloss:0.944527+0.022850
## [184] train-mlogloss:0.027415+0.001386 test-mlogloss:0.946023+0.022544
## [185] train-mlogloss:0.027146+0.001352 test-mlogloss:0.948776+0.021651
## [186] train-mlogloss:0.026950+0.001298 test-mlogloss:0.949439+0.021360
## [187] train-mlogloss:0.026650+0.001235 test-mlogloss:0.950245+0.021424
## [188] train-mlogloss:0.026372+0.001187 test-mlogloss:0.951492+0.022700
## [189] train-mlogloss:0.026145+0.001078 test-mlogloss:0.952712+0.023206
## [190] train-mlogloss:0.025851+0.001036 test-mlogloss:0.953886+0.023094
## [191] train-mlogloss:0.025530+0.000916 test-mlogloss:0.955773+0.023889
## [192] train-mlogloss:0.025349+0.000816 test-mlogloss:0.957412+0.024030
## [193] train-mlogloss:0.025083+0.000856 test-mlogloss:0.959736+0.024073
## [194] train-mlogloss:0.024832+0.000860 test-mlogloss:0.962253+0.024674
## [195] train-mlogloss:0.024571+0.000836 test-mlogloss:0.963503+0.023858
## [196] train-mlogloss:0.024322+0.000791 test-mlogloss:0.963939+0.023163
## [197] train-mlogloss:0.024064+0.000693 test-mlogloss:0.966270+0.023300
## [198] train-mlogloss:0.023795+0.000710 test-mlogloss:0.967659+0.022945
## [199] train-mlogloss:0.023561+0.000663 test-mlogloss:0.968403+0.023124
## [200] train-mlogloss:0.023311+0.000639 test-mlogloss:0.969882+0.023926
## [201] train-mlogloss:0.023079+0.000615 test-mlogloss:0.970304+0.023615
## [202] train-mlogloss:0.022776+0.000593 test-mlogloss:0.972575+0.023824
## [203] train-mlogloss:0.022588+0.000594 test-mlogloss:0.972936+0.023563
## [204] train-mlogloss:0.022326+0.000484 test-mlogloss:0.973997+0.023156
## [205] train-mlogloss:0.022042+0.000402 test-mlogloss:0.977182+0.023666
## [206] train-mlogloss:0.021897+0.000403 test-mlogloss:0.978347+0.023690
## [207] train-mlogloss:0.021757+0.000412 test-mlogloss:0.979212+0.023362
## [208] train-mlogloss:0.021542+0.000474 test-mlogloss:0.980642+0.024040
## [209] train-mlogloss:0.021341+0.000480 test-mlogloss:0.982586+0.024864
## [210] train-mlogloss:0.021079+0.000490 test-mlogloss:0.983990+0.024327
## [211] train-mlogloss:0.020846+0.000521 test-mlogloss:0.985693+0.023996
## [212] train-mlogloss:0.020620+0.000517 test-mlogloss:0.987118+0.022636
## [213] train-mlogloss:0.020434+0.000480 test-mlogloss:0.987731+0.022895
## [214] train-mlogloss:0.020282+0.000513 test-mlogloss:0.988712+0.022590
## [215] train-mlogloss:0.020062+0.000490 test-mlogloss:0.989664+0.022025
## [216] train-mlogloss:0.019791+0.000482 test-mlogloss:0.992107+0.023138
## [217] train-mlogloss:0.019608+0.000490 test-mlogloss:0.993762+0.022729
## [218] train-mlogloss:0.019447+0.000501 test-mlogloss:0.994914+0.023144
## [219] train-mlogloss:0.019268+0.000529 test-mlogloss:0.996182+0.023188
## [220] train-mlogloss:0.019082+0.000595 test-mlogloss:0.997640+0.024079
## [221] train-mlogloss:0.018877+0.000588 test-mlogloss:0.999407+0.023719
## [222] train-mlogloss:0.018689+0.000570 test-mlogloss:1.000125+0.023934
## [223] train-mlogloss:0.018436+0.000563 test-mlogloss:1.001234+0.024163
## [224] train-mlogloss:0.018280+0.000571 test-mlogloss:1.002142+0.024444
## [225] train-mlogloss:0.018102+0.000567 test-mlogloss:1.003887+0.024339
## [226] train-mlogloss:0.017963+0.000575 test-mlogloss:1.004797+0.024271
## [227] train-mlogloss:0.017782+0.000610 test-mlogloss:1.005803+0.024635
## [228] train-mlogloss:0.017601+0.000603 test-mlogloss:1.007172+0.023805
## [229] train-mlogloss:0.017421+0.000682 test-mlogloss:1.008057+0.023923
## [230] train-mlogloss:0.017250+0.000686 test-mlogloss:1.008921+0.023909
## [231] train-mlogloss:0.017121+0.000654 test-mlogloss:1.009970+0.023238
## [232] train-mlogloss:0.016982+0.000610 test-mlogloss:1.011317+0.022321
## [233] train-mlogloss:0.016812+0.000604 test-mlogloss:1.012465+0.022182
## [234] train-mlogloss:0.016629+0.000635 test-mlogloss:1.013549+0.021735
## [235] train-mlogloss:0.016461+0.000625 test-mlogloss:1.015298+0.021724
## [236] train-mlogloss:0.016325+0.000589 test-mlogloss:1.016707+0.021434
## [237] train-mlogloss:0.016142+0.000560 test-mlogloss:1.018210+0.021014
## [238] train-mlogloss:0.015956+0.000494 test-mlogloss:1.019941+0.020332
## [239] train-mlogloss:0.015803+0.000466 test-mlogloss:1.021019+0.020697
## [240] train-mlogloss:0.015597+0.000458 test-mlogloss:1.022684+0.021063
## [241] train-mlogloss:0.015458+0.000468 test-mlogloss:1.024214+0.020755
## [242] train-mlogloss:0.015289+0.000485 test-mlogloss:1.025572+0.019970
## [243] train-mlogloss:0.015151+0.000503 test-mlogloss:1.025278+0.020324
## [244] train-mlogloss:0.014994+0.000527 test-mlogloss:1.026766+0.019631
## [245] train-mlogloss:0.014840+0.000543 test-mlogloss:1.028801+0.019710
## [246] train-mlogloss:0.014720+0.000569 test-mlogloss:1.029800+0.020771
## [247] train-mlogloss:0.014559+0.000498 test-mlogloss:1.031915+0.020532
## [248] train-mlogloss:0.014469+0.000481 test-mlogloss:1.033430+0.019447
## [249] train-mlogloss:0.014330+0.000464 test-mlogloss:1.035015+0.020236
## [250] train-mlogloss:0.014217+0.000440 test-mlogloss:1.036630+0.020250
## [251] train-mlogloss:0.014131+0.000446 test-mlogloss:1.037860+0.020210
## [252] train-mlogloss:0.013996+0.000459 test-mlogloss:1.039681+0.019174
## [253] train-mlogloss:0.013872+0.000463 test-mlogloss:1.041409+0.018877
## [254] train-mlogloss:0.013780+0.000434 test-mlogloss:1.042389+0.019000
## [255] train-mlogloss:0.013616+0.000379 test-mlogloss:1.043379+0.018548
## [256] train-mlogloss:0.013533+0.000375 test-mlogloss:1.045070+0.018735
## [257] train-mlogloss:0.013405+0.000409 test-mlogloss:1.046559+0.019042
## [258] train-mlogloss:0.013325+0.000426 test-mlogloss:1.046495+0.018981
## [259] train-mlogloss:0.013186+0.000439 test-mlogloss:1.047429+0.019478
## [260] train-mlogloss:0.013090+0.000433 test-mlogloss:1.048775+0.020486
## [261] train-mlogloss:0.012986+0.000455 test-mlogloss:1.049814+0.020689
## [262] train-mlogloss:0.012879+0.000421 test-mlogloss:1.051299+0.020599
## [263] train-mlogloss:0.012781+0.000441 test-mlogloss:1.052271+0.020581
## [264] train-mlogloss:0.012675+0.000457 test-mlogloss:1.053767+0.019327
## [265] train-mlogloss:0.012587+0.000458 test-mlogloss:1.055231+0.019246
## [266] train-mlogloss:0.012482+0.000438 test-mlogloss:1.055593+0.019108
## [267] train-mlogloss:0.012352+0.000420 test-mlogloss:1.056326+0.018001
## [268] train-mlogloss:0.012231+0.000386 test-mlogloss:1.057040+0.017545
## [269] train-mlogloss:0.012126+0.000408 test-mlogloss:1.057736+0.017430
## [270] train-mlogloss:0.012013+0.000429 test-mlogloss:1.059404+0.017379
## [271] train-mlogloss:0.011920+0.000407 test-mlogloss:1.061005+0.017301
## [272] train-mlogloss:0.011804+0.000397 test-mlogloss:1.061892+0.016849
## [273] train-mlogloss:0.011712+0.000387 test-mlogloss:1.063034+0.017737
## [274] train-mlogloss:0.011612+0.000353 test-mlogloss:1.064382+0.017846
## [275] train-mlogloss:0.011527+0.000385 test-mlogloss:1.066355+0.018063
## [276] train-mlogloss:0.011464+0.000388 test-mlogloss:1.067029+0.018181
## [277] train-mlogloss:0.011355+0.000359 test-mlogloss:1.068022+0.017887
## [278] train-mlogloss:0.011289+0.000355 test-mlogloss:1.068982+0.017989
## [279] train-mlogloss:0.011215+0.000369 test-mlogloss:1.069880+0.018084
## [280] train-mlogloss:0.011137+0.000357 test-mlogloss:1.070655+0.017989
## [281] train-mlogloss:0.011075+0.000355 test-mlogloss:1.070683+0.018008
## [282] train-mlogloss:0.011000+0.000342 test-mlogloss:1.072009+0.018473
## [283] train-mlogloss:0.010933+0.000346 test-mlogloss:1.072832+0.018795
## [284] train-mlogloss:0.010856+0.000317 test-mlogloss:1.073770+0.018755
## [285] train-mlogloss:0.010801+0.000306 test-mlogloss:1.074752+0.018562
## [286] train-mlogloss:0.010754+0.000277 test-mlogloss:1.075572+0.018760
## [287] train-mlogloss:0.010686+0.000279 test-mlogloss:1.076609+0.019377
## [288] train-mlogloss:0.010604+0.000284 test-mlogloss:1.076846+0.018988
## [289] train-mlogloss:0.010522+0.000237 test-mlogloss:1.077656+0.019378
## [290] train-mlogloss:0.010462+0.000244 test-mlogloss:1.078593+0.019385
## [291] train-mlogloss:0.010379+0.000259 test-mlogloss:1.079474+0.019299
## [292] train-mlogloss:0.010307+0.000239 test-mlogloss:1.079930+0.019872
## [293] train-mlogloss:0.010204+0.000236 test-mlogloss:1.080895+0.020043
## [294] train-mlogloss:0.010141+0.000208 test-mlogloss:1.082192+0.021143
## [295] train-mlogloss:0.010063+0.000217 test-mlogloss:1.082298+0.021674
## [296] train-mlogloss:0.009976+0.000212 test-mlogloss:1.083594+0.021882
## [297] train-mlogloss:0.009910+0.000221 test-mlogloss:1.084791+0.021272
## [298] train-mlogloss:0.009841+0.000249 test-mlogloss:1.085885+0.021619
## [299] train-mlogloss:0.009776+0.000236 test-mlogloss:1.086620+0.021411
## [300] train-mlogloss:0.009697+0.000202 test-mlogloss:1.087398+0.021000
## [301] train-mlogloss:0.009631+0.000195 test-mlogloss:1.087653+0.020769
## [302] train-mlogloss:0.009564+0.000200 test-mlogloss:1.089223+0.020050
## [303] train-mlogloss:0.009504+0.000195 test-mlogloss:1.090082+0.019998
## [304] train-mlogloss:0.009440+0.000193 test-mlogloss:1.091245+0.020438
## [305] train-mlogloss:0.009385+0.000195 test-mlogloss:1.091812+0.020841
## [306] train-mlogloss:0.009337+0.000186 test-mlogloss:1.092456+0.021091
## [307] train-mlogloss:0.009266+0.000163 test-mlogloss:1.093679+0.021609
## [308] train-mlogloss:0.009204+0.000154 test-mlogloss:1.094040+0.021193
## [309] train-mlogloss:0.009112+0.000125 test-mlogloss:1.096239+0.020763
## [310] train-mlogloss:0.009050+0.000134 test-mlogloss:1.097112+0.021080
## [311] train-mlogloss:0.008996+0.000154 test-mlogloss:1.098683+0.019869
## [312] train-mlogloss:0.008940+0.000163 test-mlogloss:1.099269+0.019738
## [313] train-mlogloss:0.008876+0.000168 test-mlogloss:1.099555+0.019372
## [314] train-mlogloss:0.008839+0.000172 test-mlogloss:1.099730+0.019372
## [315] train-mlogloss:0.008796+0.000181 test-mlogloss:1.100129+0.019694
## [316] train-mlogloss:0.008715+0.000164 test-mlogloss:1.102194+0.019808
## [317] train-mlogloss:0.008639+0.000168 test-mlogloss:1.102675+0.019637
## [318] train-mlogloss:0.008586+0.000176 test-mlogloss:1.103500+0.019585
## [319] train-mlogloss:0.008524+0.000178 test-mlogloss:1.104174+0.019288
## [320] train-mlogloss:0.008483+0.000179 test-mlogloss:1.104888+0.018870
## [321] train-mlogloss:0.008455+0.000177 test-mlogloss:1.105497+0.018288
## [322] train-mlogloss:0.008402+0.000185 test-mlogloss:1.105864+0.017973
## [323] train-mlogloss:0.008362+0.000177 test-mlogloss:1.106701+0.017770
## [324] train-mlogloss:0.008319+0.000184 test-mlogloss:1.107958+0.018306
## [325] train-mlogloss:0.008272+0.000165 test-mlogloss:1.108921+0.017996
## [326] train-mlogloss:0.008186+0.000169 test-mlogloss:1.109762+0.018943
## [327] train-mlogloss:0.008127+0.000166 test-mlogloss:1.110952+0.019550
## [328] train-mlogloss:0.008056+0.000166 test-mlogloss:1.112233+0.019990
## [329] train-mlogloss:0.008002+0.000148 test-mlogloss:1.113799+0.019823
## [330] train-mlogloss:0.007932+0.000134 test-mlogloss:1.114376+0.019884
## [331] train-mlogloss:0.007876+0.000126 test-mlogloss:1.115316+0.019186
## [332] train-mlogloss:0.007828+0.000116 test-mlogloss:1.116708+0.018714
## [333] train-mlogloss:0.007784+0.000124 test-mlogloss:1.117105+0.018747
## [334] train-mlogloss:0.007710+0.000118 test-mlogloss:1.118608+0.019711
## [335] train-mlogloss:0.007674+0.000114 test-mlogloss:1.119644+0.019411
## [336] train-mlogloss:0.007622+0.000115 test-mlogloss:1.120768+0.018959
## [337] train-mlogloss:0.007577+0.000116 test-mlogloss:1.121699+0.018577
## [338] train-mlogloss:0.007537+0.000117 test-mlogloss:1.122687+0.018159
## [339] train-mlogloss:0.007476+0.000120 test-mlogloss:1.123832+0.018056
## [340] train-mlogloss:0.007428+0.000125 test-mlogloss:1.124539+0.018150
## [341] train-mlogloss:0.007383+0.000122 test-mlogloss:1.125349+0.018592
## [342] train-mlogloss:0.007347+0.000128 test-mlogloss:1.126145+0.018405
## [343] train-mlogloss:0.007305+0.000130 test-mlogloss:1.126605+0.018457
## [344] train-mlogloss:0.007269+0.000136 test-mlogloss:1.127085+0.018141
## [345] train-mlogloss:0.007236+0.000148 test-mlogloss:1.127625+0.018350
## [346] train-mlogloss:0.007201+0.000159 test-mlogloss:1.128374+0.019159
## [347] train-mlogloss:0.007165+0.000154 test-mlogloss:1.128626+0.019210
## [348] train-mlogloss:0.007127+0.000154 test-mlogloss:1.129671+0.019608
## [349] train-mlogloss:0.007068+0.000156 test-mlogloss:1.130828+0.019354
## [350] train-mlogloss:0.007021+0.000168 test-mlogloss:1.131907+0.020031
## [351] train-mlogloss:0.006971+0.000161 test-mlogloss:1.133322+0.019306
## [352] train-mlogloss:0.006933+0.000153 test-mlogloss:1.134287+0.018508
## [353] train-mlogloss:0.006907+0.000159 test-mlogloss:1.134930+0.018812
## [354] train-mlogloss:0.006878+0.000157 test-mlogloss:1.135802+0.019237
## [355] train-mlogloss:0.006851+0.000155 test-mlogloss:1.136109+0.019582
## [356] train-mlogloss:0.006817+0.000156 test-mlogloss:1.137213+0.019559
## [357] train-mlogloss:0.006779+0.000167 test-mlogloss:1.137947+0.020033
## [358] train-mlogloss:0.006753+0.000170 test-mlogloss:1.138023+0.020090
## [359] train-mlogloss:0.006724+0.000177 test-mlogloss:1.138932+0.020250
## [360] train-mlogloss:0.006695+0.000191 test-mlogloss:1.139694+0.020040
## [361] train-mlogloss:0.006660+0.000189 test-mlogloss:1.140824+0.020568
## [362] train-mlogloss:0.006621+0.000193 test-mlogloss:1.141262+0.020644
## [363] train-mlogloss:0.006579+0.000186 test-mlogloss:1.141946+0.020254
## [364] train-mlogloss:0.006541+0.000192 test-mlogloss:1.142715+0.020319
## [365] train-mlogloss:0.006510+0.000189 test-mlogloss:1.143276+0.021191
## [366] train-mlogloss:0.006478+0.000181 test-mlogloss:1.143310+0.020696
## [367] train-mlogloss:0.006450+0.000176 test-mlogloss:1.143375+0.020510
## [368] train-mlogloss:0.006414+0.000172 test-mlogloss:1.144260+0.020715
## [369] train-mlogloss:0.006370+0.000175 test-mlogloss:1.145530+0.021115
## [370] train-mlogloss:0.006344+0.000186 test-mlogloss:1.146934+0.021262
## [371] train-mlogloss:0.006312+0.000189 test-mlogloss:1.148124+0.020950
## [372] train-mlogloss:0.006285+0.000185 test-mlogloss:1.149356+0.021365
## [373] train-mlogloss:0.006261+0.000191 test-mlogloss:1.150071+0.021269
## [374] train-mlogloss:0.006223+0.000192 test-mlogloss:1.151038+0.021831
## [375] train-mlogloss:0.006197+0.000188 test-mlogloss:1.151173+0.022257
## [376] train-mlogloss:0.006172+0.000182 test-mlogloss:1.151741+0.021632
## [377] train-mlogloss:0.006139+0.000181 test-mlogloss:1.152200+0.021582
## [378] train-mlogloss:0.006110+0.000176 test-mlogloss:1.153015+0.021686
## [379] train-mlogloss:0.006073+0.000175 test-mlogloss:1.153862+0.021858
## [380] train-mlogloss:0.006043+0.000184 test-mlogloss:1.154500+0.021997
## [381] train-mlogloss:0.006015+0.000185 test-mlogloss:1.155213+0.022074
## [382] train-mlogloss:0.005991+0.000177 test-mlogloss:1.155430+0.022020
## [383] train-mlogloss:0.005962+0.000179 test-mlogloss:1.156122+0.022103
## [384] train-mlogloss:0.005936+0.000167 test-mlogloss:1.156586+0.021619
## [385] train-mlogloss:0.005912+0.000169 test-mlogloss:1.157352+0.021706
## [386] train-mlogloss:0.005889+0.000163 test-mlogloss:1.157936+0.021718
## [387] train-mlogloss:0.005872+0.000168 test-mlogloss:1.158550+0.021577
## [388] train-mlogloss:0.005845+0.000165 test-mlogloss:1.158990+0.021527
## [389] train-mlogloss:0.005811+0.000162 test-mlogloss:1.159659+0.022268
## [390] train-mlogloss:0.005778+0.000166 test-mlogloss:1.160594+0.022427
## [391] train-mlogloss:0.005743+0.000169 test-mlogloss:1.161223+0.022738
## [392] train-mlogloss:0.005720+0.000173 test-mlogloss:1.161728+0.022884
## [393] train-mlogloss:0.005694+0.000173 test-mlogloss:1.162750+0.023268
## [394] train-mlogloss:0.005662+0.000170 test-mlogloss:1.163132+0.023849
## [395] train-mlogloss:0.005629+0.000168 test-mlogloss:1.164180+0.023066
## [396] train-mlogloss:0.005597+0.000160 test-mlogloss:1.164618+0.022874
## [397] train-mlogloss:0.005569+0.000166 test-mlogloss:1.164858+0.022664
## [398] train-mlogloss:0.005547+0.000164 test-mlogloss:1.165416+0.022779
## [399] train-mlogloss:0.005521+0.000163 test-mlogloss:1.165584+0.022621
## [400] train-mlogloss:0.005499+0.000162 test-mlogloss:1.166606+0.022287
## [401] train-mlogloss:0.005477+0.000162 test-mlogloss:1.167606+0.022999
## [402] train-mlogloss:0.005454+0.000161 test-mlogloss:1.167812+0.023003
## [403] train-mlogloss:0.005422+0.000159 test-mlogloss:1.169080+0.023360
## [404] train-mlogloss:0.005387+0.000162 test-mlogloss:1.170428+0.023849
## [405] train-mlogloss:0.005366+0.000161 test-mlogloss:1.171072+0.023777
## [406] train-mlogloss:0.005345+0.000158 test-mlogloss:1.171424+0.023353
## [407] train-mlogloss:0.005320+0.000156 test-mlogloss:1.172146+0.023533
## [408] train-mlogloss:0.005290+0.000161 test-mlogloss:1.173403+0.023486
## [409] train-mlogloss:0.005271+0.000166 test-mlogloss:1.174078+0.024057
## [410] train-mlogloss:0.005251+0.000172 test-mlogloss:1.174525+0.023876
## [411] train-mlogloss:0.005225+0.000181 test-mlogloss:1.174500+0.022983
## [412] train-mlogloss:0.005204+0.000186 test-mlogloss:1.174913+0.022583
## [413] train-mlogloss:0.005184+0.000187 test-mlogloss:1.175698+0.022658
## [414] train-mlogloss:0.005163+0.000198 test-mlogloss:1.175901+0.022712
## [415] train-mlogloss:0.005137+0.000199 test-mlogloss:1.177020+0.023101
## [416] train-mlogloss:0.005111+0.000198 test-mlogloss:1.177854+0.023480
## [417] train-mlogloss:0.005091+0.000196 test-mlogloss:1.178916+0.023342
## [418] train-mlogloss:0.005069+0.000197 test-mlogloss:1.179417+0.022253
## [419] train-mlogloss:0.005056+0.000198 test-mlogloss:1.179719+0.021979
## [420] train-mlogloss:0.005030+0.000193 test-mlogloss:1.179974+0.021845
## [421] train-mlogloss:0.005011+0.000185 test-mlogloss:1.180362+0.021810
## [422] train-mlogloss:0.004992+0.000179 test-mlogloss:1.180806+0.022081
## [423] train-mlogloss:0.004969+0.000180 test-mlogloss:1.182247+0.022505
## [424] train-mlogloss:0.004944+0.000171 test-mlogloss:1.182887+0.022866
## [425] train-mlogloss:0.004919+0.000162 test-mlogloss:1.183302+0.022600
## [426] train-mlogloss:0.004899+0.000162 test-mlogloss:1.183564+0.022515
## [427] train-mlogloss:0.004883+0.000167 test-mlogloss:1.184284+0.022553
## [428] train-mlogloss:0.004863+0.000167 test-mlogloss:1.185154+0.022639
## [429] train-mlogloss:0.004848+0.000162 test-mlogloss:1.185541+0.022725
## [430] train-mlogloss:0.004825+0.000157 test-mlogloss:1.185806+0.022546
## [431] train-mlogloss:0.004808+0.000155 test-mlogloss:1.186813+0.022566
## [432] train-mlogloss:0.004790+0.000150 test-mlogloss:1.187314+0.021981
## [433] train-mlogloss:0.004770+0.000142 test-mlogloss:1.188536+0.021638
## [434] train-mlogloss:0.004752+0.000136 test-mlogloss:1.189052+0.021730
## [435] train-mlogloss:0.004737+0.000138 test-mlogloss:1.189487+0.021811
## [436] train-mlogloss:0.004711+0.000138 test-mlogloss:1.189924+0.022407
## [437] train-mlogloss:0.004696+0.000143 test-mlogloss:1.190072+0.022455
## [438] train-mlogloss:0.004674+0.000143 test-mlogloss:1.190871+0.022737
## [439] train-mlogloss:0.004655+0.000143 test-mlogloss:1.191600+0.022733
## [440] train-mlogloss:0.004643+0.000145 test-mlogloss:1.192201+0.022757
## [441] train-mlogloss:0.004625+0.000148 test-mlogloss:1.192706+0.022666
## [442] train-mlogloss:0.004604+0.000146 test-mlogloss:1.193509+0.023157
## [443] train-mlogloss:0.004586+0.000143 test-mlogloss:1.194226+0.022953
## [444] train-mlogloss:0.004571+0.000136 test-mlogloss:1.194508+0.022838
## [445] train-mlogloss:0.004558+0.000134 test-mlogloss:1.195709+0.022450
## [446] train-mlogloss:0.004535+0.000126 test-mlogloss:1.196184+0.022600
## [447] train-mlogloss:0.004519+0.000126 test-mlogloss:1.196581+0.022399
## [448] train-mlogloss:0.004505+0.000131 test-mlogloss:1.197061+0.022474
## [449] train-mlogloss:0.004479+0.000133 test-mlogloss:1.197163+0.022855
## [450] train-mlogloss:0.004456+0.000130 test-mlogloss:1.198008+0.022940
## [451] train-mlogloss:0.004438+0.000129 test-mlogloss:1.198900+0.023018
## [452] train-mlogloss:0.004425+0.000128 test-mlogloss:1.199252+0.022928
## [453] train-mlogloss:0.004409+0.000127 test-mlogloss:1.199989+0.022993
## [454] train-mlogloss:0.004387+0.000125 test-mlogloss:1.200035+0.022536
## [455] train-mlogloss:0.004373+0.000127 test-mlogloss:1.200708+0.022425
## [456] train-mlogloss:0.004354+0.000132 test-mlogloss:1.201087+0.022690
## [457] train-mlogloss:0.004334+0.000131 test-mlogloss:1.201771+0.022782
## [458] train-mlogloss:0.004319+0.000129 test-mlogloss:1.202720+0.022457
## [459] train-mlogloss:0.004301+0.000131 test-mlogloss:1.203527+0.022290
## [460] train-mlogloss:0.004283+0.000129 test-mlogloss:1.204502+0.022419
## [461] train-mlogloss:0.004271+0.000124 test-mlogloss:1.204652+0.022566
## [462] train-mlogloss:0.004255+0.000123 test-mlogloss:1.205495+0.021936
## [463] train-mlogloss:0.004234+0.000118 test-mlogloss:1.206310+0.021901
## [464] train-mlogloss:0.004215+0.000114 test-mlogloss:1.206629+0.022004
## [465] train-mlogloss:0.004199+0.000111 test-mlogloss:1.207196+0.021858
## [466] train-mlogloss:0.004183+0.000107 test-mlogloss:1.207732+0.021778
## [467] train-mlogloss:0.004169+0.000113 test-mlogloss:1.208103+0.022340
## [468] train-mlogloss:0.004156+0.000113 test-mlogloss:1.208575+0.022344
## [469] train-mlogloss:0.004141+0.000112 test-mlogloss:1.208965+0.022318
## [470] train-mlogloss:0.004124+0.000110 test-mlogloss:1.210354+0.023051
## [471] train-mlogloss:0.004110+0.000109 test-mlogloss:1.210698+0.022854
## [472] train-mlogloss:0.004089+0.000109 test-mlogloss:1.211566+0.022587
## [473] train-mlogloss:0.004078+0.000107 test-mlogloss:1.211937+0.022216
## [474] train-mlogloss:0.004063+0.000107 test-mlogloss:1.213086+0.022506
## [475] train-mlogloss:0.004052+0.000110 test-mlogloss:1.213655+0.022664
## [476] train-mlogloss:0.004040+0.000108 test-mlogloss:1.213932+0.022485
## [477] train-mlogloss:0.004025+0.000111 test-mlogloss:1.214461+0.023463
## [478] train-mlogloss:0.004009+0.000115 test-mlogloss:1.214992+0.023650
## [479] train-mlogloss:0.003991+0.000113 test-mlogloss:1.215971+0.024086
## [480] train-mlogloss:0.003971+0.000112 test-mlogloss:1.216690+0.024094
## [481] train-mlogloss:0.003957+0.000112 test-mlogloss:1.217420+0.024059
## [482] train-mlogloss:0.003938+0.000109 test-mlogloss:1.217831+0.024180
## [483] train-mlogloss:0.003923+0.000109 test-mlogloss:1.218441+0.024443
## [484] train-mlogloss:0.003910+0.000108 test-mlogloss:1.218726+0.024518
## [485] train-mlogloss:0.003896+0.000109 test-mlogloss:1.219119+0.024008
## [486] train-mlogloss:0.003886+0.000110 test-mlogloss:1.219722+0.023865
## [487] train-mlogloss:0.003870+0.000113 test-mlogloss:1.220326+0.023814
## [488] train-mlogloss:0.003860+0.000116 test-mlogloss:1.220334+0.024329
## [489] train-mlogloss:0.003852+0.000119 test-mlogloss:1.220770+0.024461
## [490] train-mlogloss:0.003840+0.000117 test-mlogloss:1.221212+0.023967
## [491] train-mlogloss:0.003829+0.000119 test-mlogloss:1.221414+0.023715
## [492] train-mlogloss:0.003812+0.000115 test-mlogloss:1.222376+0.023380
## [493] train-mlogloss:0.003797+0.000111 test-mlogloss:1.222611+0.023432
## [494] train-mlogloss:0.003783+0.000109 test-mlogloss:1.223646+0.023894
## [495] train-mlogloss:0.003765+0.000108 test-mlogloss:1.224805+0.024232
## [496] train-mlogloss:0.003753+0.000108 test-mlogloss:1.225843+0.024692
## [497] train-mlogloss:0.003742+0.000108 test-mlogloss:1.226373+0.024955
## [498] train-mlogloss:0.003729+0.000109 test-mlogloss:1.226718+0.024939
## [499] train-mlogloss:0.003714+0.000101 test-mlogloss:1.227554+0.024392
## [500] train-mlogloss:0.003703+0.000099 test-mlogloss:1.227814+0.024357
## [1] train-mlogloss:0.262766+0.004412 test-mlogloss:0.634547+0.019250
## [2] train-mlogloss:0.144747+0.002999 test-mlogloss:0.657288+0.026882
## [3] train-mlogloss:0.094209+0.002289 test-mlogloss:0.679510+0.030942
## [4] train-mlogloss:0.069582+0.002927 test-mlogloss:0.701677+0.037119
## [5] train-mlogloss:0.055509+0.002316 test-mlogloss:0.723362+0.039467
## [6] train-mlogloss:0.046346+0.002827 test-mlogloss:0.737547+0.039850
## [7] train-mlogloss:0.039157+0.002827 test-mlogloss:0.751245+0.039375
## [8] train-mlogloss:0.033883+0.002961 test-mlogloss:0.762446+0.038627
## [9] train-mlogloss:0.029545+0.002185 test-mlogloss:0.774223+0.038409
## [10] train-mlogloss:0.026269+0.001620 test-mlogloss:0.784460+0.040032
## [11] train-mlogloss:0.023433+0.001305 test-mlogloss:0.793827+0.040399
## [12] train-mlogloss:0.021488+0.001191 test-mlogloss:0.804560+0.043965
## [13] train-mlogloss:0.019680+0.001068 test-mlogloss:0.812003+0.044565
## [14] train-mlogloss:0.018072+0.000966 test-mlogloss:0.820969+0.045178
## [15] train-mlogloss:0.016754+0.000821 test-mlogloss:0.828186+0.044329
## [16] train-mlogloss:0.015747+0.000941 test-mlogloss:0.833270+0.046508
## [17] train-mlogloss:0.014860+0.000713 test-mlogloss:0.839527+0.048389
## [18] train-mlogloss:0.014034+0.000675 test-mlogloss:0.844467+0.046926
## [19] train-mlogloss:0.013256+0.000654 test-mlogloss:0.847653+0.046889
## [20] train-mlogloss:0.012571+0.000563 test-mlogloss:0.853391+0.046521
## [21] train-mlogloss:0.011990+0.000509 test-mlogloss:0.858291+0.047264
## [22] train-mlogloss:0.011420+0.000503 test-mlogloss:0.863791+0.047159
## [23] train-mlogloss:0.010902+0.000416 test-mlogloss:0.867997+0.047264
## [24] train-mlogloss:0.010490+0.000377 test-mlogloss:0.872792+0.046555
## [25] train-mlogloss:0.010081+0.000368 test-mlogloss:0.877053+0.045851
## [26] train-mlogloss:0.009688+0.000326 test-mlogloss:0.881693+0.046525
## [27] train-mlogloss:0.009337+0.000288 test-mlogloss:0.886637+0.046832
## [28] train-mlogloss:0.009029+0.000276 test-mlogloss:0.890718+0.046970
## [29] train-mlogloss:0.008732+0.000239 test-mlogloss:0.894676+0.047208
## [30] train-mlogloss:0.008454+0.000224 test-mlogloss:0.898241+0.047048
## [31] train-mlogloss:0.008212+0.000204 test-mlogloss:0.901654+0.046560
## [32] train-mlogloss:0.007978+0.000183 test-mlogloss:0.904684+0.047421
## [33] train-mlogloss:0.007744+0.000169 test-mlogloss:0.910176+0.048051
## [34] train-mlogloss:0.007515+0.000146 test-mlogloss:0.913474+0.048710
## [35] train-mlogloss:0.007312+0.000135 test-mlogloss:0.917156+0.048849
## [36] train-mlogloss:0.007121+0.000137 test-mlogloss:0.920545+0.048763
## [37] train-mlogloss:0.006949+0.000124 test-mlogloss:0.923205+0.048709
## [38] train-mlogloss:0.006787+0.000137 test-mlogloss:0.925687+0.048718
## [39] train-mlogloss:0.006628+0.000129 test-mlogloss:0.928876+0.047816
## [40] train-mlogloss:0.006483+0.000126 test-mlogloss:0.931154+0.047229
## [41] train-mlogloss:0.006337+0.000123 test-mlogloss:0.933750+0.046974
## [42] train-mlogloss:0.006204+0.000116 test-mlogloss:0.937500+0.046756
## [43] train-mlogloss:0.006069+0.000112 test-mlogloss:0.940887+0.047016
## [44] train-mlogloss:0.005943+0.000105 test-mlogloss:0.944373+0.048783
## [45] train-mlogloss:0.005826+0.000103 test-mlogloss:0.947173+0.049283
## [46] train-mlogloss:0.005713+0.000097 test-mlogloss:0.949515+0.048443
## [47] train-mlogloss:0.005607+0.000091 test-mlogloss:0.952018+0.048474
## [48] train-mlogloss:0.005509+0.000081 test-mlogloss:0.953888+0.049127
## [49] train-mlogloss:0.005412+0.000075 test-mlogloss:0.956370+0.048583
## [50] train-mlogloss:0.005320+0.000070 test-mlogloss:0.959106+0.048506
## [51] train-mlogloss:0.005229+0.000067 test-mlogloss:0.961226+0.049445
## [52] train-mlogloss:0.005142+0.000063 test-mlogloss:0.963101+0.050138
## [53] train-mlogloss:0.005063+0.000060 test-mlogloss:0.965340+0.049762
## [54] train-mlogloss:0.004990+0.000060 test-mlogloss:0.968005+0.050161
## [55] train-mlogloss:0.004914+0.000058 test-mlogloss:0.969594+0.049809
## [56] train-mlogloss:0.004839+0.000057 test-mlogloss:0.972255+0.049965
## [57] train-mlogloss:0.004773+0.000049 test-mlogloss:0.973573+0.050207
## [58] train-mlogloss:0.004708+0.000044 test-mlogloss:0.976257+0.050098
## [59] train-mlogloss:0.004643+0.000046 test-mlogloss:0.977945+0.050273
## [60] train-mlogloss:0.004580+0.000044 test-mlogloss:0.979945+0.050642
## [61] train-mlogloss:0.004520+0.000040 test-mlogloss:0.980937+0.050190
## [62] train-mlogloss:0.004459+0.000039 test-mlogloss:0.983449+0.050380
## [63] train-mlogloss:0.004404+0.000038 test-mlogloss:0.985059+0.052123
## [64] train-mlogloss:0.004347+0.000040 test-mlogloss:0.985516+0.052680
## [65] train-mlogloss:0.004294+0.000040 test-mlogloss:0.987281+0.052377
## [66] train-mlogloss:0.004241+0.000037 test-mlogloss:0.989791+0.051919
## [67] train-mlogloss:0.004188+0.000038 test-mlogloss:0.991146+0.052068
## [68] train-mlogloss:0.004138+0.000038 test-mlogloss:0.993309+0.051964
## [69] train-mlogloss:0.004088+0.000040 test-mlogloss:0.994644+0.052407
## [70] train-mlogloss:0.004041+0.000040 test-mlogloss:0.996123+0.051860
## [71] train-mlogloss:0.003998+0.000040 test-mlogloss:0.997484+0.051542
## [72] train-mlogloss:0.003955+0.000040 test-mlogloss:0.998552+0.050913
## [73] train-mlogloss:0.003915+0.000041 test-mlogloss:1.000362+0.051315
## [74] train-mlogloss:0.003872+0.000042 test-mlogloss:1.002348+0.051580
## [75] train-mlogloss:0.003832+0.000042 test-mlogloss:1.003629+0.050664
## [76] train-mlogloss:0.003794+0.000043 test-mlogloss:1.004931+0.050931
## [77] train-mlogloss:0.003754+0.000040 test-mlogloss:1.006332+0.051144
## [78] train-mlogloss:0.003716+0.000043 test-mlogloss:1.007895+0.050230
## [79] train-mlogloss:0.003679+0.000041 test-mlogloss:1.008916+0.050637
## [80] train-mlogloss:0.003644+0.000038 test-mlogloss:1.010426+0.050096
## [81] train-mlogloss:0.003610+0.000037 test-mlogloss:1.012481+0.050369
## [82] train-mlogloss:0.003577+0.000035 test-mlogloss:1.013999+0.049948
## [83] train-mlogloss:0.003544+0.000035 test-mlogloss:1.015457+0.050014
## [84] train-mlogloss:0.003515+0.000036 test-mlogloss:1.016664+0.049886
## [85] train-mlogloss:0.003483+0.000033 test-mlogloss:1.018201+0.050226
## [86] train-mlogloss:0.003452+0.000036 test-mlogloss:1.019776+0.050904
## [87] train-mlogloss:0.003421+0.000034 test-mlogloss:1.021396+0.050915
## [88] train-mlogloss:0.003393+0.000034 test-mlogloss:1.022073+0.051784
## [89] train-mlogloss:0.003364+0.000032 test-mlogloss:1.022970+0.052355
## [90] train-mlogloss:0.003335+0.000033 test-mlogloss:1.023764+0.051387
## [91] train-mlogloss:0.003307+0.000034 test-mlogloss:1.024933+0.051618
## [92] train-mlogloss:0.003278+0.000032 test-mlogloss:1.025897+0.051812
## [93] train-mlogloss:0.003251+0.000032 test-mlogloss:1.026782+0.052321
## [94] train-mlogloss:0.003225+0.000032 test-mlogloss:1.027920+0.052234
## [95] train-mlogloss:0.003201+0.000031 test-mlogloss:1.028489+0.052461
## [96] train-mlogloss:0.003176+0.000033 test-mlogloss:1.030060+0.053358
## [97] train-mlogloss:0.003151+0.000033 test-mlogloss:1.031300+0.053310
## [98] train-mlogloss:0.003127+0.000032 test-mlogloss:1.033322+0.053539
## [99] train-mlogloss:0.003105+0.000031 test-mlogloss:1.034641+0.053014
## [100] train-mlogloss:0.003082+0.000033 test-mlogloss:1.035869+0.052859
## [101] train-mlogloss:0.003059+0.000031 test-mlogloss:1.036582+0.052098
## [102] train-mlogloss:0.003036+0.000031 test-mlogloss:1.037349+0.052093
## [103] train-mlogloss:0.003014+0.000029 test-mlogloss:1.038909+0.052671
## [104] train-mlogloss:0.002992+0.000030 test-mlogloss:1.039443+0.052766
## [105] train-mlogloss:0.002972+0.000029 test-mlogloss:1.039981+0.052578
## [106] train-mlogloss:0.002952+0.000028 test-mlogloss:1.041458+0.052769
## [107] train-mlogloss:0.002932+0.000028 test-mlogloss:1.042431+0.052955
## [108] train-mlogloss:0.002913+0.000027 test-mlogloss:1.043303+0.052778
## [109] train-mlogloss:0.002893+0.000027 test-mlogloss:1.044256+0.052860
## [110] train-mlogloss:0.002874+0.000027 test-mlogloss:1.045479+0.052827
## [111] train-mlogloss:0.002856+0.000026 test-mlogloss:1.045605+0.052397
## [112] train-mlogloss:0.002838+0.000026 test-mlogloss:1.046138+0.052997
## [113] train-mlogloss:0.002821+0.000027 test-mlogloss:1.047277+0.053104
## [114] train-mlogloss:0.002804+0.000028 test-mlogloss:1.048353+0.054025
## [115] train-mlogloss:0.002785+0.000026 test-mlogloss:1.049093+0.053994
## [116] train-mlogloss:0.002769+0.000026 test-mlogloss:1.049728+0.054343
## [117] train-mlogloss:0.002752+0.000026 test-mlogloss:1.051013+0.054190
## [118] train-mlogloss:0.002737+0.000026 test-mlogloss:1.052243+0.054404
## [119] train-mlogloss:0.002721+0.000025 test-mlogloss:1.053253+0.054159
## [120] train-mlogloss:0.002705+0.000026 test-mlogloss:1.054639+0.053777
## [121] train-mlogloss:0.002689+0.000026 test-mlogloss:1.055338+0.053866
## [122] train-mlogloss:0.002675+0.000026 test-mlogloss:1.056309+0.053991
## [123] train-mlogloss:0.002661+0.000025 test-mlogloss:1.057473+0.054277
## [124] train-mlogloss:0.002646+0.000024 test-mlogloss:1.058073+0.053871
## [125] train-mlogloss:0.002631+0.000025 test-mlogloss:1.059041+0.054065
## [126] train-mlogloss:0.002616+0.000024 test-mlogloss:1.059884+0.054298
## [127] train-mlogloss:0.002601+0.000025 test-mlogloss:1.060707+0.054386
## [128] train-mlogloss:0.002586+0.000025 test-mlogloss:1.062075+0.054655
## [129] train-mlogloss:0.002571+0.000026 test-mlogloss:1.062670+0.054453
## [130] train-mlogloss:0.002558+0.000027 test-mlogloss:1.063031+0.054307
## [131] train-mlogloss:0.002545+0.000027 test-mlogloss:1.064463+0.054430
## [132] train-mlogloss:0.002532+0.000027 test-mlogloss:1.065622+0.054426
## [133] train-mlogloss:0.002518+0.000027 test-mlogloss:1.066521+0.054293
## [134] train-mlogloss:0.002505+0.000027 test-mlogloss:1.066946+0.054168
## [135] train-mlogloss:0.002493+0.000026 test-mlogloss:1.068053+0.054179
## [136] train-mlogloss:0.002481+0.000024 test-mlogloss:1.068707+0.054314
## [137] train-mlogloss:0.002468+0.000025 test-mlogloss:1.069832+0.054925
## [138] train-mlogloss:0.002456+0.000024 test-mlogloss:1.070248+0.054995
## [139] train-mlogloss:0.002445+0.000023 test-mlogloss:1.070048+0.055667
## [140] train-mlogloss:0.002433+0.000022 test-mlogloss:1.071030+0.055919
## [141] train-mlogloss:0.002421+0.000022 test-mlogloss:1.071567+0.056031
## [142] train-mlogloss:0.002409+0.000022 test-mlogloss:1.072571+0.055393
## [143] train-mlogloss:0.002397+0.000021 test-mlogloss:1.073694+0.055130
## [144] train-mlogloss:0.002386+0.000021 test-mlogloss:1.074143+0.055551
## [145] train-mlogloss:0.002376+0.000022 test-mlogloss:1.074891+0.055443
## [146] train-mlogloss:0.002365+0.000021 test-mlogloss:1.075979+0.055473
## [147] train-mlogloss:0.002355+0.000021 test-mlogloss:1.076821+0.056031
## [148] train-mlogloss:0.002344+0.000020 test-mlogloss:1.077552+0.055954
## [149] train-mlogloss:0.002333+0.000020 test-mlogloss:1.078130+0.055920
## [150] train-mlogloss:0.002323+0.000020 test-mlogloss:1.079040+0.055611
## [151] train-mlogloss:0.002313+0.000020 test-mlogloss:1.079698+0.055870
## [152] train-mlogloss:0.002303+0.000021 test-mlogloss:1.080291+0.056108
## [153] train-mlogloss:0.002293+0.000022 test-mlogloss:1.080725+0.056306
## [154] train-mlogloss:0.002283+0.000022 test-mlogloss:1.081535+0.056351
## [155] train-mlogloss:0.002273+0.000023 test-mlogloss:1.082337+0.056565
## [156] train-mlogloss:0.002263+0.000023 test-mlogloss:1.083233+0.056790
## [157] train-mlogloss:0.002254+0.000022 test-mlogloss:1.083434+0.057014
## [158] train-mlogloss:0.002243+0.000021 test-mlogloss:1.084097+0.057384
## [159] train-mlogloss:0.002235+0.000021 test-mlogloss:1.085166+0.057227
## [160] train-mlogloss:0.002225+0.000021 test-mlogloss:1.085366+0.057638
## [161] train-mlogloss:0.002216+0.000020 test-mlogloss:1.086416+0.057855
## [162] train-mlogloss:0.002206+0.000020 test-mlogloss:1.086815+0.057769
## [163] train-mlogloss:0.002197+0.000019 test-mlogloss:1.087971+0.058470
## [164] train-mlogloss:0.002188+0.000019 test-mlogloss:1.088188+0.058084
## [165] train-mlogloss:0.002180+0.000019 test-mlogloss:1.088820+0.058315
## [166] train-mlogloss:0.002170+0.000020 test-mlogloss:1.089409+0.058246
## [167] train-mlogloss:0.002161+0.000019 test-mlogloss:1.090389+0.057533
## [168] train-mlogloss:0.002152+0.000019 test-mlogloss:1.091218+0.057522
## [169] train-mlogloss:0.002144+0.000019 test-mlogloss:1.091849+0.057584
## [170] train-mlogloss:0.002135+0.000020 test-mlogloss:1.092374+0.057561
## [171] train-mlogloss:0.002127+0.000020 test-mlogloss:1.092764+0.057599
## [172] train-mlogloss:0.002120+0.000020 test-mlogloss:1.093009+0.057538
## [173] train-mlogloss:0.002111+0.000021 test-mlogloss:1.094079+0.057032
## [174] train-mlogloss:0.002103+0.000021 test-mlogloss:1.094791+0.057373
## [175] train-mlogloss:0.002096+0.000021 test-mlogloss:1.095574+0.057553
## [176] train-mlogloss:0.002088+0.000021 test-mlogloss:1.096118+0.057872
## [177] train-mlogloss:0.002080+0.000021 test-mlogloss:1.096161+0.057985
## [178] train-mlogloss:0.002072+0.000021 test-mlogloss:1.096695+0.058060
## [179] train-mlogloss:0.002065+0.000020 test-mlogloss:1.097309+0.058624
## [180] train-mlogloss:0.002057+0.000021 test-mlogloss:1.098160+0.058446
## [181] train-mlogloss:0.002050+0.000022 test-mlogloss:1.098967+0.058391
## [182] train-mlogloss:0.002042+0.000021 test-mlogloss:1.099845+0.058123
## [183] train-mlogloss:0.002035+0.000022 test-mlogloss:1.100441+0.057892
## [184] train-mlogloss:0.002028+0.000021 test-mlogloss:1.101175+0.057993
## [185] train-mlogloss:0.002021+0.000021 test-mlogloss:1.101740+0.057989
## [186] train-mlogloss:0.002015+0.000021 test-mlogloss:1.102290+0.058223
## [187] train-mlogloss:0.002008+0.000020 test-mlogloss:1.102592+0.058172
## [188] train-mlogloss:0.002001+0.000020 test-mlogloss:1.102962+0.058199
## [189] train-mlogloss:0.001995+0.000020 test-mlogloss:1.104247+0.058431
## [190] train-mlogloss:0.001989+0.000020 test-mlogloss:1.105225+0.058406
## [191] train-mlogloss:0.001981+0.000020 test-mlogloss:1.105272+0.058397
## [192] train-mlogloss:0.001974+0.000020 test-mlogloss:1.105948+0.058426
## [193] train-mlogloss:0.001967+0.000020 test-mlogloss:1.106411+0.058286
## [194] train-mlogloss:0.001960+0.000019 test-mlogloss:1.107323+0.058507
## [195] train-mlogloss:0.001955+0.000019 test-mlogloss:1.107747+0.058538
## [196] train-mlogloss:0.001949+0.000019 test-mlogloss:1.108070+0.058819
## [197] train-mlogloss:0.001943+0.000020 test-mlogloss:1.108604+0.058731
## [198] train-mlogloss:0.001936+0.000020 test-mlogloss:1.109093+0.058627
## [199] train-mlogloss:0.001931+0.000020 test-mlogloss:1.109408+0.058348
## [200] train-mlogloss:0.001924+0.000020 test-mlogloss:1.109794+0.058539
## [201] train-mlogloss:0.001918+0.000020 test-mlogloss:1.110777+0.058894
## [202] train-mlogloss:0.001911+0.000021 test-mlogloss:1.110628+0.058831
## [203] train-mlogloss:0.001905+0.000021 test-mlogloss:1.111536+0.058802
## [204] train-mlogloss:0.001900+0.000021 test-mlogloss:1.111706+0.059294
## [205] train-mlogloss:0.001894+0.000020 test-mlogloss:1.112493+0.059158
## [206] train-mlogloss:0.001888+0.000021 test-mlogloss:1.112965+0.059410
## [207] train-mlogloss:0.001882+0.000021 test-mlogloss:1.113392+0.059537
## [208] train-mlogloss:0.001876+0.000021 test-mlogloss:1.114082+0.059838
## [209] train-mlogloss:0.001869+0.000021 test-mlogloss:1.115091+0.060424
## [210] train-mlogloss:0.001863+0.000021 test-mlogloss:1.115384+0.060885
## [211] train-mlogloss:0.001858+0.000021 test-mlogloss:1.115534+0.060988
## [212] train-mlogloss:0.001852+0.000020 test-mlogloss:1.115907+0.060867
## [213] train-mlogloss:0.001846+0.000021 test-mlogloss:1.116272+0.061049
## [214] train-mlogloss:0.001841+0.000020 test-mlogloss:1.116548+0.061089
## [215] train-mlogloss:0.001836+0.000020 test-mlogloss:1.117144+0.061376
## [216] train-mlogloss:0.001830+0.000020 test-mlogloss:1.117843+0.061166
## [217] train-mlogloss:0.001825+0.000020 test-mlogloss:1.118326+0.061121
## [218] train-mlogloss:0.001820+0.000019 test-mlogloss:1.118236+0.061084
## [219] train-mlogloss:0.001815+0.000018 test-mlogloss:1.118915+0.061427
## [220] train-mlogloss:0.001810+0.000018 test-mlogloss:1.119271+0.061109
## [221] train-mlogloss:0.001805+0.000018 test-mlogloss:1.119542+0.061413
## [222] train-mlogloss:0.001799+0.000019 test-mlogloss:1.119768+0.061478
## [223] train-mlogloss:0.001794+0.000018 test-mlogloss:1.120348+0.061515
## [224] train-mlogloss:0.001789+0.000019 test-mlogloss:1.120534+0.061995
## [225] train-mlogloss:0.001784+0.000019 test-mlogloss:1.121253+0.061778
## [226] train-mlogloss:0.001779+0.000019 test-mlogloss:1.122015+0.061915
## [227] train-mlogloss:0.001774+0.000019 test-mlogloss:1.122598+0.061898
## [228] train-mlogloss:0.001769+0.000018 test-mlogloss:1.123735+0.062020
## [229] train-mlogloss:0.001765+0.000019 test-mlogloss:1.123939+0.062060
## [230] train-mlogloss:0.001760+0.000018 test-mlogloss:1.124416+0.061946
## [231] train-mlogloss:0.001755+0.000018 test-mlogloss:1.124684+0.062015
## [232] train-mlogloss:0.001751+0.000019 test-mlogloss:1.124955+0.061877
## [233] train-mlogloss:0.001747+0.000019 test-mlogloss:1.125480+0.061637
## [234] train-mlogloss:0.001742+0.000019 test-mlogloss:1.125810+0.062016
## [235] train-mlogloss:0.001738+0.000019 test-mlogloss:1.126329+0.062191
## [236] train-mlogloss:0.001733+0.000019 test-mlogloss:1.126970+0.062591
## [237] train-mlogloss:0.001729+0.000018 test-mlogloss:1.127335+0.062676
## [238] train-mlogloss:0.001724+0.000018 test-mlogloss:1.127892+0.063100
## [239] train-mlogloss:0.001720+0.000019 test-mlogloss:1.127946+0.062789
## [240] train-mlogloss:0.001716+0.000018 test-mlogloss:1.128201+0.062673
## [241] train-mlogloss:0.001712+0.000018 test-mlogloss:1.128800+0.062567
## [242] train-mlogloss:0.001707+0.000018 test-mlogloss:1.129299+0.062434
## [243] train-mlogloss:0.001703+0.000018 test-mlogloss:1.129244+0.062546
## [244] train-mlogloss:0.001699+0.000018 test-mlogloss:1.129588+0.062157
## [245] train-mlogloss:0.001695+0.000018 test-mlogloss:1.130329+0.062378
## [246] train-mlogloss:0.001690+0.000018 test-mlogloss:1.130333+0.062120
## [247] train-mlogloss:0.001686+0.000018 test-mlogloss:1.130723+0.062080
## [248] train-mlogloss:0.001682+0.000017 test-mlogloss:1.131196+0.061993
## [249] train-mlogloss:0.001678+0.000017 test-mlogloss:1.131945+0.062087
## [250] train-mlogloss:0.001674+0.000016 test-mlogloss:1.132697+0.061914
## [251] train-mlogloss:0.001670+0.000016 test-mlogloss:1.132891+0.062269
## [252] train-mlogloss:0.001666+0.000016 test-mlogloss:1.133187+0.062257
## [253] train-mlogloss:0.001662+0.000016 test-mlogloss:1.133533+0.061868
## [254] train-mlogloss:0.001658+0.000017 test-mlogloss:1.133864+0.061948
## [255] train-mlogloss:0.001654+0.000017 test-mlogloss:1.133874+0.061738
## [256] train-mlogloss:0.001650+0.000017 test-mlogloss:1.134680+0.061945
## [257] train-mlogloss:0.001646+0.000017 test-mlogloss:1.135327+0.062132
## [258] train-mlogloss:0.001642+0.000017 test-mlogloss:1.135934+0.062513
## [259] train-mlogloss:0.001639+0.000017 test-mlogloss:1.136129+0.062285
## [260] train-mlogloss:0.001635+0.000016 test-mlogloss:1.136696+0.062247
## [261] train-mlogloss:0.001631+0.000016 test-mlogloss:1.137171+0.062452
## [262] train-mlogloss:0.001627+0.000017 test-mlogloss:1.137664+0.062883
## [263] train-mlogloss:0.001624+0.000017 test-mlogloss:1.137788+0.062979
## [264] train-mlogloss:0.001620+0.000017 test-mlogloss:1.138352+0.063425
## [265] train-mlogloss:0.001616+0.000017 test-mlogloss:1.138914+0.063073
## [266] train-mlogloss:0.001613+0.000016 test-mlogloss:1.139388+0.062928
## [267] train-mlogloss:0.001609+0.000017 test-mlogloss:1.139887+0.062909
## [268] train-mlogloss:0.001606+0.000017 test-mlogloss:1.140178+0.063106
## [269] train-mlogloss:0.001602+0.000017 test-mlogloss:1.141154+0.063303
## [270] train-mlogloss:0.001599+0.000017 test-mlogloss:1.141779+0.063238
## [271] train-mlogloss:0.001595+0.000017 test-mlogloss:1.142267+0.063155
## [272] train-mlogloss:0.001592+0.000016 test-mlogloss:1.142592+0.063517
## [273] train-mlogloss:0.001588+0.000017 test-mlogloss:1.143176+0.063452
## [274] train-mlogloss:0.001586+0.000017 test-mlogloss:1.142994+0.063321
## [275] train-mlogloss:0.001582+0.000016 test-mlogloss:1.143259+0.063106
## [276] train-mlogloss:0.001579+0.000017 test-mlogloss:1.143489+0.063152
## [277] train-mlogloss:0.001575+0.000016 test-mlogloss:1.144300+0.063444
## [278] train-mlogloss:0.001571+0.000016 test-mlogloss:1.144883+0.063942
## [279] train-mlogloss:0.001568+0.000016 test-mlogloss:1.144983+0.064167
## [280] train-mlogloss:0.001565+0.000016 test-mlogloss:1.145561+0.063946
## [281] train-mlogloss:0.001561+0.000016 test-mlogloss:1.146151+0.064295
## [282] train-mlogloss:0.001558+0.000015 test-mlogloss:1.146512+0.064354
## [283] train-mlogloss:0.001555+0.000015 test-mlogloss:1.146700+0.064283
## [284] train-mlogloss:0.001552+0.000015 test-mlogloss:1.147771+0.064174
## [285] train-mlogloss:0.001548+0.000015 test-mlogloss:1.147943+0.063937
## [286] train-mlogloss:0.001545+0.000016 test-mlogloss:1.147995+0.064425
## [287] train-mlogloss:0.001541+0.000016 test-mlogloss:1.148573+0.064329
## [288] train-mlogloss:0.001538+0.000016 test-mlogloss:1.148965+0.064542
## [289] train-mlogloss:0.001536+0.000016 test-mlogloss:1.149491+0.064498
## [290] train-mlogloss:0.001533+0.000016 test-mlogloss:1.149656+0.064133
## [291] train-mlogloss:0.001530+0.000016 test-mlogloss:1.149795+0.064165
## [292] train-mlogloss:0.001526+0.000016 test-mlogloss:1.150398+0.064361
## [293] train-mlogloss:0.001523+0.000016 test-mlogloss:1.150961+0.064180
## [294] train-mlogloss:0.001520+0.000016 test-mlogloss:1.151199+0.064297
## [295] train-mlogloss:0.001517+0.000016 test-mlogloss:1.151421+0.064343
## [296] train-mlogloss:0.001514+0.000016 test-mlogloss:1.152054+0.064712
## [297] train-mlogloss:0.001511+0.000016 test-mlogloss:1.152391+0.064804
## [298] train-mlogloss:0.001508+0.000016 test-mlogloss:1.152949+0.064787
## [299] train-mlogloss:0.001505+0.000015 test-mlogloss:1.152780+0.064677
## [300] train-mlogloss:0.001502+0.000015 test-mlogloss:1.152666+0.064313
## [301] train-mlogloss:0.001499+0.000015 test-mlogloss:1.152546+0.063657
## [302] train-mlogloss:0.001496+0.000015 test-mlogloss:1.152684+0.063363
## [303] train-mlogloss:0.001492+0.000015 test-mlogloss:1.153045+0.063349
## [304] train-mlogloss:0.001490+0.000015 test-mlogloss:1.153275+0.063753
## [305] train-mlogloss:0.001487+0.000015 test-mlogloss:1.153522+0.063923
## [306] train-mlogloss:0.001484+0.000015 test-mlogloss:1.153789+0.063946
## [307] train-mlogloss:0.001481+0.000015 test-mlogloss:1.154253+0.064276
## [308] train-mlogloss:0.001478+0.000015 test-mlogloss:1.154755+0.064303
## [309] train-mlogloss:0.001475+0.000015 test-mlogloss:1.154889+0.064470
## [310] train-mlogloss:0.001472+0.000015 test-mlogloss:1.155366+0.064442
## [311] train-mlogloss:0.001470+0.000015 test-mlogloss:1.155581+0.064572
## [312] train-mlogloss:0.001467+0.000015 test-mlogloss:1.155854+0.064565
## [313] train-mlogloss:0.001464+0.000015 test-mlogloss:1.156050+0.064671
## [314] train-mlogloss:0.001462+0.000015 test-mlogloss:1.156407+0.064642
## [315] train-mlogloss:0.001459+0.000015 test-mlogloss:1.156850+0.064965
## [316] train-mlogloss:0.001456+0.000015 test-mlogloss:1.157126+0.065023
## [317] train-mlogloss:0.001454+0.000015 test-mlogloss:1.157437+0.065162
## [318] train-mlogloss:0.001451+0.000015 test-mlogloss:1.157233+0.065201
## [319] train-mlogloss:0.001448+0.000015 test-mlogloss:1.157830+0.065188
## [320] train-mlogloss:0.001445+0.000015 test-mlogloss:1.158090+0.064940
## [321] train-mlogloss:0.001443+0.000015 test-mlogloss:1.158027+0.065058
## [322] train-mlogloss:0.001440+0.000015 test-mlogloss:1.158266+0.065151
## [323] train-mlogloss:0.001438+0.000015 test-mlogloss:1.158956+0.065439
## [324] train-mlogloss:0.001435+0.000016 test-mlogloss:1.159290+0.065286
## [325] train-mlogloss:0.001433+0.000015 test-mlogloss:1.159471+0.065158
## [326] train-mlogloss:0.001430+0.000015 test-mlogloss:1.159529+0.065163
## [327] train-mlogloss:0.001427+0.000015 test-mlogloss:1.159868+0.065436
## [328] train-mlogloss:0.001425+0.000016 test-mlogloss:1.160272+0.065286
## [329] train-mlogloss:0.001422+0.000015 test-mlogloss:1.160564+0.065541
## [330] train-mlogloss:0.001420+0.000016 test-mlogloss:1.161076+0.065689
## [331] train-mlogloss:0.001417+0.000015 test-mlogloss:1.161612+0.065652
## [332] train-mlogloss:0.001415+0.000015 test-mlogloss:1.162365+0.065695
## [333] train-mlogloss:0.001413+0.000015 test-mlogloss:1.162602+0.065572
## [334] train-mlogloss:0.001410+0.000015 test-mlogloss:1.162758+0.065306
## [335] train-mlogloss:0.001408+0.000015 test-mlogloss:1.163400+0.065298
## [336] train-mlogloss:0.001406+0.000015 test-mlogloss:1.163401+0.065171
## [337] train-mlogloss:0.001403+0.000015 test-mlogloss:1.163314+0.065274
## [338] train-mlogloss:0.001401+0.000015 test-mlogloss:1.163726+0.065140
## [339] train-mlogloss:0.001398+0.000015 test-mlogloss:1.163736+0.065304
## [340] train-mlogloss:0.001396+0.000015 test-mlogloss:1.163902+0.065227
## [341] train-mlogloss:0.001393+0.000015 test-mlogloss:1.163851+0.065386
## [342] train-mlogloss:0.001391+0.000015 test-mlogloss:1.164668+0.065065
## [343] train-mlogloss:0.001389+0.000015 test-mlogloss:1.165059+0.065404
## [344] train-mlogloss:0.001386+0.000015 test-mlogloss:1.165152+0.065379
## [345] train-mlogloss:0.001384+0.000015 test-mlogloss:1.165796+0.065005
## [346] train-mlogloss:0.001382+0.000015 test-mlogloss:1.166418+0.065026
## [347] train-mlogloss:0.001379+0.000015 test-mlogloss:1.166620+0.064922
## [348] train-mlogloss:0.001377+0.000014 test-mlogloss:1.167068+0.065177
## [349] train-mlogloss:0.001375+0.000014 test-mlogloss:1.167420+0.065257
## [350] train-mlogloss:0.001372+0.000014 test-mlogloss:1.167814+0.064838
## [351] train-mlogloss:0.001370+0.000014 test-mlogloss:1.168030+0.064793
## [352] train-mlogloss:0.001368+0.000013 test-mlogloss:1.168403+0.064736
## [353] train-mlogloss:0.001366+0.000014 test-mlogloss:1.168486+0.064829
## [354] train-mlogloss:0.001364+0.000013 test-mlogloss:1.168498+0.064760
## [355] train-mlogloss:0.001362+0.000014 test-mlogloss:1.168759+0.064773
## [356] train-mlogloss:0.001359+0.000013 test-mlogloss:1.169026+0.064756
## [357] train-mlogloss:0.001357+0.000014 test-mlogloss:1.169336+0.065000
## [358] train-mlogloss:0.001355+0.000014 test-mlogloss:1.169663+0.064931
## [359] train-mlogloss:0.001353+0.000014 test-mlogloss:1.169906+0.065086
## [360] train-mlogloss:0.001351+0.000014 test-mlogloss:1.170252+0.064864
## [361] train-mlogloss:0.001349+0.000013 test-mlogloss:1.170506+0.064739
## [362] train-mlogloss:0.001346+0.000013 test-mlogloss:1.170783+0.064896
## [363] train-mlogloss:0.001345+0.000013 test-mlogloss:1.170762+0.064897
## [364] train-mlogloss:0.001343+0.000013 test-mlogloss:1.171180+0.065182
## [365] train-mlogloss:0.001340+0.000013 test-mlogloss:1.171791+0.065489
## [366] train-mlogloss:0.001338+0.000013 test-mlogloss:1.171650+0.065589
## [367] train-mlogloss:0.001336+0.000013 test-mlogloss:1.172054+0.065196
## [368] train-mlogloss:0.001334+0.000013 test-mlogloss:1.172404+0.065631
## [369] train-mlogloss:0.001332+0.000013 test-mlogloss:1.172391+0.065354
## [370] train-mlogloss:0.001330+0.000013 test-mlogloss:1.172580+0.065460
## [371] train-mlogloss:0.001328+0.000013 test-mlogloss:1.172821+0.065902
## [372] train-mlogloss:0.001326+0.000013 test-mlogloss:1.173188+0.065773
## [373] train-mlogloss:0.001324+0.000013 test-mlogloss:1.173504+0.066194
## [374] train-mlogloss:0.001322+0.000013 test-mlogloss:1.173610+0.066112
## [375] train-mlogloss:0.001320+0.000013 test-mlogloss:1.173775+0.065930
## [376] train-mlogloss:0.001317+0.000013 test-mlogloss:1.173932+0.065733
## [377] train-mlogloss:0.001315+0.000013 test-mlogloss:1.174163+0.065626
## [378] train-mlogloss:0.001313+0.000013 test-mlogloss:1.174392+0.066164
## [379] train-mlogloss:0.001311+0.000013 test-mlogloss:1.175188+0.066455
## [380] train-mlogloss:0.001309+0.000012 test-mlogloss:1.175782+0.066305
## [381] train-mlogloss:0.001308+0.000013 test-mlogloss:1.175846+0.066173
## [382] train-mlogloss:0.001306+0.000013 test-mlogloss:1.175849+0.066206
## [383] train-mlogloss:0.001304+0.000013 test-mlogloss:1.176144+0.066381
## [384] train-mlogloss:0.001302+0.000013 test-mlogloss:1.176542+0.066643
## [385] train-mlogloss:0.001300+0.000013 test-mlogloss:1.176662+0.066584
## [386] train-mlogloss:0.001298+0.000012 test-mlogloss:1.176864+0.066554
## [387] train-mlogloss:0.001296+0.000012 test-mlogloss:1.177198+0.066414
## [388] train-mlogloss:0.001294+0.000012 test-mlogloss:1.177333+0.066416
## [389] train-mlogloss:0.001293+0.000012 test-mlogloss:1.177461+0.066304
## [390] train-mlogloss:0.001290+0.000012 test-mlogloss:1.177635+0.066485
## [391] train-mlogloss:0.001289+0.000012 test-mlogloss:1.178300+0.066819
## [392] train-mlogloss:0.001287+0.000012 test-mlogloss:1.178234+0.066580
## [393] train-mlogloss:0.001285+0.000012 test-mlogloss:1.178459+0.066214
## [394] train-mlogloss:0.001283+0.000012 test-mlogloss:1.178444+0.066219
## [395] train-mlogloss:0.001282+0.000013 test-mlogloss:1.178924+0.066047
## [396] train-mlogloss:0.001280+0.000012 test-mlogloss:1.179238+0.066350
## [397] train-mlogloss:0.001278+0.000012 test-mlogloss:1.179274+0.066429
## [398] train-mlogloss:0.001276+0.000012 test-mlogloss:1.179416+0.066542
## [399] train-mlogloss:0.001274+0.000012 test-mlogloss:1.179839+0.066560
## [400] train-mlogloss:0.001273+0.000013 test-mlogloss:1.179839+0.066284
## [401] train-mlogloss:0.001271+0.000013 test-mlogloss:1.179682+0.066304
## [402] train-mlogloss:0.001269+0.000013 test-mlogloss:1.179999+0.066504
## [403] train-mlogloss:0.001267+0.000012 test-mlogloss:1.180265+0.066526
## [404] train-mlogloss:0.001266+0.000013 test-mlogloss:1.180664+0.066037
## [405] train-mlogloss:0.001264+0.000013 test-mlogloss:1.180737+0.065900
## [406] train-mlogloss:0.001262+0.000013 test-mlogloss:1.181420+0.065727
## [407] train-mlogloss:0.001260+0.000013 test-mlogloss:1.181560+0.065935
## [408] train-mlogloss:0.001258+0.000013 test-mlogloss:1.182023+0.065910
## [409] train-mlogloss:0.001256+0.000013 test-mlogloss:1.182261+0.065983
## [410] train-mlogloss:0.001255+0.000012 test-mlogloss:1.182470+0.066179
## [411] train-mlogloss:0.001253+0.000012 test-mlogloss:1.182934+0.066132
## [412] train-mlogloss:0.001252+0.000013 test-mlogloss:1.182916+0.066196
## [413] train-mlogloss:0.001250+0.000013 test-mlogloss:1.183036+0.065983
## [414] train-mlogloss:0.001248+0.000013 test-mlogloss:1.183125+0.066005
## [415] train-mlogloss:0.001246+0.000013 test-mlogloss:1.183271+0.066038
## [416] train-mlogloss:0.001244+0.000013 test-mlogloss:1.183751+0.065969
## [417] train-mlogloss:0.001243+0.000013 test-mlogloss:1.184149+0.065957
## [418] train-mlogloss:0.001241+0.000013 test-mlogloss:1.184188+0.066070
## [419] train-mlogloss:0.001240+0.000012 test-mlogloss:1.184827+0.066178
## [420] train-mlogloss:0.001238+0.000012 test-mlogloss:1.185024+0.066022
## [421] train-mlogloss:0.001236+0.000012 test-mlogloss:1.185109+0.066101
## [422] train-mlogloss:0.001235+0.000012 test-mlogloss:1.185126+0.066298
## [423] train-mlogloss:0.001233+0.000012 test-mlogloss:1.185684+0.066233
## [424] train-mlogloss:0.001231+0.000012 test-mlogloss:1.186251+0.066546
## [425] train-mlogloss:0.001230+0.000012 test-mlogloss:1.186701+0.066412
## [426] train-mlogloss:0.001228+0.000012 test-mlogloss:1.186651+0.066501
## [427] train-mlogloss:0.001227+0.000012 test-mlogloss:1.186696+0.066509
## [428] train-mlogloss:0.001225+0.000012 test-mlogloss:1.186949+0.066371
## [429] train-mlogloss:0.001224+0.000012 test-mlogloss:1.187211+0.066246
## [430] train-mlogloss:0.001222+0.000012 test-mlogloss:1.187587+0.066467
## [431] train-mlogloss:0.001220+0.000012 test-mlogloss:1.187823+0.066540
## [432] train-mlogloss:0.001219+0.000012 test-mlogloss:1.187994+0.066569
## [433] train-mlogloss:0.001217+0.000012 test-mlogloss:1.187993+0.066132
## [434] train-mlogloss:0.001216+0.000012 test-mlogloss:1.188110+0.066036
## [435] train-mlogloss:0.001214+0.000012 test-mlogloss:1.188072+0.065893
## [436] train-mlogloss:0.001213+0.000012 test-mlogloss:1.188810+0.066146
## [437] train-mlogloss:0.001211+0.000012 test-mlogloss:1.188832+0.066208
## [438] train-mlogloss:0.001210+0.000012 test-mlogloss:1.189026+0.066258
## [439] train-mlogloss:0.001208+0.000012 test-mlogloss:1.188892+0.066162
## [440] train-mlogloss:0.001206+0.000012 test-mlogloss:1.189528+0.066100
## [441] train-mlogloss:0.001205+0.000012 test-mlogloss:1.189961+0.066112
## [442] train-mlogloss:0.001203+0.000012 test-mlogloss:1.190497+0.066095
## [443] train-mlogloss:0.001202+0.000012 test-mlogloss:1.190710+0.066125
## [444] train-mlogloss:0.001201+0.000012 test-mlogloss:1.190781+0.066273
## [445] train-mlogloss:0.001199+0.000012 test-mlogloss:1.190872+0.066280
## [446] train-mlogloss:0.001198+0.000012 test-mlogloss:1.191184+0.066192
## [447] train-mlogloss:0.001196+0.000012 test-mlogloss:1.191446+0.066141
## [448] train-mlogloss:0.001195+0.000012 test-mlogloss:1.191642+0.066265
## [449] train-mlogloss:0.001194+0.000012 test-mlogloss:1.191723+0.066346
## [450] train-mlogloss:0.001192+0.000012 test-mlogloss:1.191782+0.066241
## [451] train-mlogloss:0.001191+0.000012 test-mlogloss:1.191797+0.066362
## [452] train-mlogloss:0.001189+0.000012 test-mlogloss:1.192110+0.066376
## [453] train-mlogloss:0.001188+0.000011 test-mlogloss:1.192089+0.066466
## [454] train-mlogloss:0.001187+0.000012 test-mlogloss:1.192051+0.066290
## [455] train-mlogloss:0.001185+0.000011 test-mlogloss:1.192414+0.065987
## [456] train-mlogloss:0.001184+0.000011 test-mlogloss:1.192723+0.066210
## [457] train-mlogloss:0.001183+0.000011 test-mlogloss:1.192925+0.066273
## [458] train-mlogloss:0.001181+0.000011 test-mlogloss:1.192985+0.065720
## [459] train-mlogloss:0.001180+0.000012 test-mlogloss:1.193058+0.065537
## [460] train-mlogloss:0.001178+0.000012 test-mlogloss:1.193336+0.065757
## [461] train-mlogloss:0.001176+0.000011 test-mlogloss:1.193757+0.065906
## [462] train-mlogloss:0.001175+0.000011 test-mlogloss:1.194008+0.065634
## [463] train-mlogloss:0.001173+0.000011 test-mlogloss:1.194045+0.065696
## [464] train-mlogloss:0.001172+0.000012 test-mlogloss:1.194267+0.065843
## [465] train-mlogloss:0.001170+0.000011 test-mlogloss:1.194249+0.065414
## [466] train-mlogloss:0.001169+0.000011 test-mlogloss:1.194609+0.065787
## [467] train-mlogloss:0.001168+0.000011 test-mlogloss:1.194999+0.066133
## [468] train-mlogloss:0.001166+0.000011 test-mlogloss:1.195366+0.065782
## [469] train-mlogloss:0.001165+0.000011 test-mlogloss:1.195517+0.065710
## [470] train-mlogloss:0.001164+0.000011 test-mlogloss:1.195508+0.065741
## [471] train-mlogloss:0.001162+0.000012 test-mlogloss:1.195837+0.065581
## [472] train-mlogloss:0.001161+0.000011 test-mlogloss:1.196054+0.065238
## [473] train-mlogloss:0.001160+0.000012 test-mlogloss:1.196211+0.065416
## [474] train-mlogloss:0.001159+0.000011 test-mlogloss:1.196618+0.065456
## [475] train-mlogloss:0.001157+0.000011 test-mlogloss:1.196691+0.065289
## [476] train-mlogloss:0.001156+0.000011 test-mlogloss:1.197018+0.065719
## [477] train-mlogloss:0.001155+0.000012 test-mlogloss:1.197315+0.065913
## [478] train-mlogloss:0.001154+0.000012 test-mlogloss:1.197418+0.066128
## [479] train-mlogloss:0.001153+0.000012 test-mlogloss:1.197368+0.065881
## [480] train-mlogloss:0.001151+0.000012 test-mlogloss:1.197573+0.065839
## [481] train-mlogloss:0.001150+0.000012 test-mlogloss:1.198032+0.065745
## [482] train-mlogloss:0.001149+0.000012 test-mlogloss:1.198046+0.065784
## [483] train-mlogloss:0.001148+0.000012 test-mlogloss:1.198255+0.065654
## [484] train-mlogloss:0.001146+0.000011 test-mlogloss:1.198272+0.065814
## [485] train-mlogloss:0.001145+0.000012 test-mlogloss:1.198404+0.066062
## [486] train-mlogloss:0.001144+0.000012 test-mlogloss:1.198601+0.065923
## [487] train-mlogloss:0.001142+0.000012 test-mlogloss:1.199062+0.066077
## [488] train-mlogloss:0.001141+0.000012 test-mlogloss:1.199167+0.066302
## [489] train-mlogloss:0.001140+0.000012 test-mlogloss:1.199136+0.066317
## [490] train-mlogloss:0.001139+0.000012 test-mlogloss:1.199331+0.066220
## [491] train-mlogloss:0.001137+0.000011 test-mlogloss:1.199839+0.066196
## [492] train-mlogloss:0.001136+0.000011 test-mlogloss:1.200311+0.066069
## [493] train-mlogloss:0.001135+0.000012 test-mlogloss:1.200984+0.066078
## [494] train-mlogloss:0.001134+0.000011 test-mlogloss:1.201110+0.065975
## [495] train-mlogloss:0.001132+0.000011 test-mlogloss:1.201026+0.065865
## [496] train-mlogloss:0.001131+0.000012 test-mlogloss:1.201457+0.065984
## [497] train-mlogloss:0.001130+0.000012 test-mlogloss:1.201527+0.065816
## [498] train-mlogloss:0.001129+0.000012 test-mlogloss:1.201732+0.065756
## [499] train-mlogloss:0.001127+0.000012 test-mlogloss:1.201870+0.065796
## [500] train-mlogloss:0.001126+0.000011 test-mlogloss:1.202079+0.065621
## [1] train-mlogloss:0.614694+0.001473 test-mlogloss:0.622136+0.003023
## [2] train-mlogloss:0.570553+0.001660 test-mlogloss:0.584279+0.004129
## [3] train-mlogloss:0.543011+0.002051 test-mlogloss:0.562628+0.005429
## [4] train-mlogloss:0.525312+0.002005 test-mlogloss:0.550634+0.006851
## [5] train-mlogloss:0.512931+0.002018 test-mlogloss:0.543502+0.007156
## [6] train-mlogloss:0.503720+0.002101 test-mlogloss:0.539181+0.007877
## [7] train-mlogloss:0.496712+0.002353 test-mlogloss:0.537726+0.009062
## [8] train-mlogloss:0.491031+0.002374 test-mlogloss:0.536872+0.009356
## [9] train-mlogloss:0.485655+0.002375 test-mlogloss:0.536436+0.009412
## [10] train-mlogloss:0.481747+0.002651 test-mlogloss:0.536037+0.009747
## [11] train-mlogloss:0.477872+0.002421 test-mlogloss:0.536569+0.009165
## [12] train-mlogloss:0.473754+0.002554 test-mlogloss:0.537115+0.009804
## [13] train-mlogloss:0.470672+0.002631 test-mlogloss:0.537543+0.009958
## [14] train-mlogloss:0.467384+0.002684 test-mlogloss:0.538354+0.009843
## [15] train-mlogloss:0.464171+0.002235 test-mlogloss:0.539350+0.009738
## [16] train-mlogloss:0.460257+0.002011 test-mlogloss:0.539595+0.009685
## [17] train-mlogloss:0.456810+0.002339 test-mlogloss:0.540814+0.010165
## [18] train-mlogloss:0.453253+0.002937 test-mlogloss:0.541133+0.010316
## [19] train-mlogloss:0.449622+0.002616 test-mlogloss:0.541488+0.010878
## [20] train-mlogloss:0.446533+0.002976 test-mlogloss:0.542879+0.011184
## [21] train-mlogloss:0.443297+0.002642 test-mlogloss:0.544274+0.011360
## [22] train-mlogloss:0.440092+0.003287 test-mlogloss:0.545097+0.011702
## [23] train-mlogloss:0.437114+0.002782 test-mlogloss:0.545863+0.011289
## [24] train-mlogloss:0.434255+0.002688 test-mlogloss:0.546412+0.011002
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## [33] train-mlogloss:0.406564+0.003433 test-mlogloss:0.552977+0.013077
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## [36] train-mlogloss:0.397348+0.005051 test-mlogloss:0.555804+0.013768
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## [39] train-mlogloss:0.389117+0.004778 test-mlogloss:0.556992+0.012513
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## [42] train-mlogloss:0.380283+0.004807 test-mlogloss:0.559257+0.012093
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## [48] train-mlogloss:0.364886+0.004513 test-mlogloss:0.563709+0.013920
## [49] train-mlogloss:0.362342+0.004532 test-mlogloss:0.564941+0.014611
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## [58] train-mlogloss:0.340463+0.004298 test-mlogloss:0.572050+0.014224
## [59] train-mlogloss:0.338406+0.004190 test-mlogloss:0.572668+0.014906
## [60] train-mlogloss:0.335791+0.004181 test-mlogloss:0.573348+0.014963
## [61] train-mlogloss:0.333621+0.004652 test-mlogloss:0.573475+0.014790
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## [63] train-mlogloss:0.329635+0.004749 test-mlogloss:0.574121+0.015044
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## [65] train-mlogloss:0.325333+0.004578 test-mlogloss:0.574524+0.015760
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## [68] train-mlogloss:0.318317+0.004769 test-mlogloss:0.577594+0.016474
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## [71] train-mlogloss:0.312215+0.004965 test-mlogloss:0.581383+0.016834
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## [73] train-mlogloss:0.308437+0.004825 test-mlogloss:0.583342+0.017463
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## [75] train-mlogloss:0.304027+0.004579 test-mlogloss:0.584031+0.017762
## [76] train-mlogloss:0.302273+0.004324 test-mlogloss:0.584332+0.017807
## [77] train-mlogloss:0.300101+0.004494 test-mlogloss:0.584969+0.017801
## [78] train-mlogloss:0.298059+0.004206 test-mlogloss:0.586067+0.017787
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## [80] train-mlogloss:0.294156+0.003738 test-mlogloss:0.587472+0.017153
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## [83] train-mlogloss:0.288120+0.003961 test-mlogloss:0.590346+0.016625
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## [91] train-mlogloss:0.273621+0.003411 test-mlogloss:0.595823+0.017073
## [92] train-mlogloss:0.271816+0.003279 test-mlogloss:0.595961+0.017045
## [93] train-mlogloss:0.270002+0.003250 test-mlogloss:0.595531+0.016793
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## [96] train-mlogloss:0.264819+0.003094 test-mlogloss:0.597227+0.016437
## [97] train-mlogloss:0.263118+0.002944 test-mlogloss:0.598211+0.016693
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## [100] train-mlogloss:0.258512+0.003077 test-mlogloss:0.600767+0.016091
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## [237] train-mlogloss:0.113283+0.001825 test-mlogloss:0.686320+0.024790
## [238] train-mlogloss:0.112660+0.001856 test-mlogloss:0.686762+0.024908
## [239] train-mlogloss:0.112023+0.001873 test-mlogloss:0.686996+0.025401
## [240] train-mlogloss:0.111400+0.001993 test-mlogloss:0.687453+0.025112
## [241] train-mlogloss:0.110776+0.001904 test-mlogloss:0.688629+0.025593
## [242] train-mlogloss:0.110251+0.001967 test-mlogloss:0.689240+0.025410
## [243] train-mlogloss:0.109702+0.001923 test-mlogloss:0.689605+0.025503
## [244] train-mlogloss:0.109137+0.001931 test-mlogloss:0.690276+0.025741
## [245] train-mlogloss:0.108508+0.001916 test-mlogloss:0.690812+0.025871
## [246] train-mlogloss:0.107899+0.001937 test-mlogloss:0.691722+0.025195
## [247] train-mlogloss:0.107299+0.001861 test-mlogloss:0.692210+0.025109
## [248] train-mlogloss:0.106745+0.001768 test-mlogloss:0.692880+0.024972
## [249] train-mlogloss:0.106135+0.001792 test-mlogloss:0.693541+0.025488
## [250] train-mlogloss:0.105651+0.001803 test-mlogloss:0.694271+0.025329
## [251] train-mlogloss:0.105022+0.001791 test-mlogloss:0.694897+0.025716
## [252] train-mlogloss:0.104480+0.001817 test-mlogloss:0.695231+0.025799
## [253] train-mlogloss:0.103758+0.001758 test-mlogloss:0.695814+0.025527
## [254] train-mlogloss:0.103237+0.001730 test-mlogloss:0.696377+0.025745
## [255] train-mlogloss:0.102646+0.001741 test-mlogloss:0.697040+0.025761
## [256] train-mlogloss:0.102032+0.001725 test-mlogloss:0.698007+0.025692
## [257] train-mlogloss:0.101547+0.001687 test-mlogloss:0.698996+0.025546
## [258] train-mlogloss:0.100993+0.001702 test-mlogloss:0.699588+0.025864
## [259] train-mlogloss:0.100462+0.001654 test-mlogloss:0.700685+0.025539
## [260] train-mlogloss:0.099923+0.001587 test-mlogloss:0.701439+0.025331
## [261] train-mlogloss:0.099426+0.001625 test-mlogloss:0.701846+0.025361
## [262] train-mlogloss:0.098934+0.001760 test-mlogloss:0.702573+0.025595
## [263] train-mlogloss:0.098331+0.001723 test-mlogloss:0.703161+0.026180
## [264] train-mlogloss:0.097777+0.001697 test-mlogloss:0.703228+0.026285
## [265] train-mlogloss:0.097257+0.001596 test-mlogloss:0.703862+0.026253
## [266] train-mlogloss:0.096674+0.001632 test-mlogloss:0.704824+0.026978
## [267] train-mlogloss:0.096143+0.001641 test-mlogloss:0.705774+0.026852
## [268] train-mlogloss:0.095619+0.001643 test-mlogloss:0.706191+0.027139
## [269] train-mlogloss:0.095068+0.001574 test-mlogloss:0.706816+0.027068
## [270] train-mlogloss:0.094520+0.001553 test-mlogloss:0.707599+0.027102
## [271] train-mlogloss:0.093994+0.001614 test-mlogloss:0.708443+0.027025
## [272] train-mlogloss:0.093544+0.001643 test-mlogloss:0.709170+0.027226
## [273] train-mlogloss:0.093030+0.001663 test-mlogloss:0.709890+0.026734
## [274] train-mlogloss:0.092533+0.001596 test-mlogloss:0.710498+0.026461
## [275] train-mlogloss:0.092064+0.001662 test-mlogloss:0.711396+0.026450
## [276] train-mlogloss:0.091539+0.001603 test-mlogloss:0.712043+0.026401
## [277] train-mlogloss:0.091049+0.001558 test-mlogloss:0.712616+0.026383
## [278] train-mlogloss:0.090597+0.001591 test-mlogloss:0.712941+0.026182
## [279] train-mlogloss:0.090059+0.001630 test-mlogloss:0.713590+0.026164
## [280] train-mlogloss:0.089604+0.001711 test-mlogloss:0.714120+0.026129
## [281] train-mlogloss:0.089206+0.001784 test-mlogloss:0.714877+0.025939
## [282] train-mlogloss:0.088709+0.001749 test-mlogloss:0.715670+0.025826
## [283] train-mlogloss:0.088238+0.001696 test-mlogloss:0.716356+0.025989
## [284] train-mlogloss:0.087758+0.001760 test-mlogloss:0.716799+0.025386
## [285] train-mlogloss:0.087333+0.001739 test-mlogloss:0.717747+0.025439
## [286] train-mlogloss:0.086888+0.001759 test-mlogloss:0.718251+0.025148
## [287] train-mlogloss:0.086434+0.001714 test-mlogloss:0.718872+0.025472
## [288] train-mlogloss:0.085927+0.001719 test-mlogloss:0.719920+0.025272
## [289] train-mlogloss:0.085551+0.001833 test-mlogloss:0.720568+0.025352
## [290] train-mlogloss:0.085102+0.001830 test-mlogloss:0.721441+0.025130
## [291] train-mlogloss:0.084654+0.001800 test-mlogloss:0.721796+0.025343
## [292] train-mlogloss:0.084209+0.001828 test-mlogloss:0.722691+0.025342
## [293] train-mlogloss:0.083735+0.001770 test-mlogloss:0.723168+0.025224
## [294] train-mlogloss:0.083374+0.001756 test-mlogloss:0.723223+0.024904
## [295] train-mlogloss:0.082837+0.001773 test-mlogloss:0.724325+0.025388
## [296] train-mlogloss:0.082491+0.001788 test-mlogloss:0.724972+0.025452
## [297] train-mlogloss:0.082115+0.001827 test-mlogloss:0.725815+0.026139
## [298] train-mlogloss:0.081718+0.001814 test-mlogloss:0.726685+0.026717
## [299] train-mlogloss:0.081214+0.001757 test-mlogloss:0.726940+0.027066
## [300] train-mlogloss:0.080797+0.001786 test-mlogloss:0.727575+0.027112
## [301] train-mlogloss:0.080392+0.001799 test-mlogloss:0.728214+0.027081
## [302] train-mlogloss:0.079960+0.001774 test-mlogloss:0.728720+0.026839
## [303] train-mlogloss:0.079620+0.001748 test-mlogloss:0.729193+0.026574
## [304] train-mlogloss:0.079244+0.001703 test-mlogloss:0.729017+0.026700
## [305] train-mlogloss:0.078879+0.001653 test-mlogloss:0.729694+0.026530
## [306] train-mlogloss:0.078425+0.001661 test-mlogloss:0.730319+0.027237
## [307] train-mlogloss:0.078028+0.001702 test-mlogloss:0.730432+0.026943
## [308] train-mlogloss:0.077605+0.001684 test-mlogloss:0.730430+0.026954
## [309] train-mlogloss:0.077228+0.001685 test-mlogloss:0.730977+0.026993
## [310] train-mlogloss:0.076790+0.001665 test-mlogloss:0.731804+0.027121
## [311] train-mlogloss:0.076374+0.001715 test-mlogloss:0.732284+0.026649
## [312] train-mlogloss:0.075950+0.001657 test-mlogloss:0.732959+0.027316
## [313] train-mlogloss:0.075582+0.001647 test-mlogloss:0.733563+0.027324
## [314] train-mlogloss:0.075118+0.001637 test-mlogloss:0.734186+0.027441
## [315] train-mlogloss:0.074749+0.001647 test-mlogloss:0.734477+0.027645
## [316] train-mlogloss:0.074344+0.001598 test-mlogloss:0.735229+0.027735
## [317] train-mlogloss:0.073978+0.001656 test-mlogloss:0.735806+0.027400
## [318] train-mlogloss:0.073596+0.001648 test-mlogloss:0.736398+0.027876
## [319] train-mlogloss:0.073186+0.001652 test-mlogloss:0.736912+0.027931
## [320] train-mlogloss:0.072842+0.001609 test-mlogloss:0.737606+0.028454
## [321] train-mlogloss:0.072477+0.001600 test-mlogloss:0.737858+0.028106
## [322] train-mlogloss:0.072107+0.001671 test-mlogloss:0.738643+0.027922
## [323] train-mlogloss:0.071823+0.001692 test-mlogloss:0.738898+0.027887
## [324] train-mlogloss:0.071437+0.001705 test-mlogloss:0.739841+0.027738
## [325] train-mlogloss:0.071044+0.001635 test-mlogloss:0.740658+0.027511
## [326] train-mlogloss:0.070670+0.001670 test-mlogloss:0.741291+0.027800
## [327] train-mlogloss:0.070290+0.001719 test-mlogloss:0.742114+0.027672
## [328] train-mlogloss:0.070008+0.001722 test-mlogloss:0.742377+0.028196
## [329] train-mlogloss:0.069604+0.001771 test-mlogloss:0.743201+0.028813
## [330] train-mlogloss:0.069266+0.001748 test-mlogloss:0.743541+0.028649
## [331] train-mlogloss:0.068884+0.001810 test-mlogloss:0.743894+0.028646
## [332] train-mlogloss:0.068426+0.001817 test-mlogloss:0.744696+0.028676
## [333] train-mlogloss:0.068090+0.001757 test-mlogloss:0.745654+0.028487
## [334] train-mlogloss:0.067765+0.001748 test-mlogloss:0.746225+0.028533
## [335] train-mlogloss:0.067502+0.001717 test-mlogloss:0.746698+0.028220
## [336] train-mlogloss:0.067143+0.001695 test-mlogloss:0.747105+0.028067
## [337] train-mlogloss:0.066766+0.001625 test-mlogloss:0.747665+0.027869
## [338] train-mlogloss:0.066422+0.001597 test-mlogloss:0.748703+0.027843
## [339] train-mlogloss:0.066091+0.001660 test-mlogloss:0.749062+0.027862
## [340] train-mlogloss:0.065694+0.001611 test-mlogloss:0.749617+0.027947
## [341] train-mlogloss:0.065350+0.001640 test-mlogloss:0.750420+0.028160
## [342] train-mlogloss:0.064981+0.001602 test-mlogloss:0.750788+0.027922
## [343] train-mlogloss:0.064688+0.001615 test-mlogloss:0.751416+0.027766
## [344] train-mlogloss:0.064421+0.001556 test-mlogloss:0.751982+0.027452
## [345] train-mlogloss:0.064078+0.001522 test-mlogloss:0.752897+0.027132
## [346] train-mlogloss:0.063788+0.001536 test-mlogloss:0.753620+0.026683
## [347] train-mlogloss:0.063459+0.001588 test-mlogloss:0.754207+0.027053
## [348] train-mlogloss:0.063178+0.001537 test-mlogloss:0.755090+0.026835
## [349] train-mlogloss:0.062839+0.001530 test-mlogloss:0.755492+0.026499
## [350] train-mlogloss:0.062547+0.001526 test-mlogloss:0.756950+0.026508
## [351] train-mlogloss:0.062238+0.001485 test-mlogloss:0.757640+0.026781
## [352] train-mlogloss:0.061958+0.001504 test-mlogloss:0.758040+0.026936
## [353] train-mlogloss:0.061675+0.001450 test-mlogloss:0.758966+0.026544
## [354] train-mlogloss:0.061406+0.001449 test-mlogloss:0.759287+0.026656
## [355] train-mlogloss:0.061154+0.001494 test-mlogloss:0.759466+0.026110
## [356] train-mlogloss:0.060844+0.001445 test-mlogloss:0.760180+0.026122
## [357] train-mlogloss:0.060523+0.001388 test-mlogloss:0.761150+0.026466
## [358] train-mlogloss:0.060236+0.001380 test-mlogloss:0.761593+0.026527
## [359] train-mlogloss:0.059961+0.001382 test-mlogloss:0.761790+0.027071
## [360] train-mlogloss:0.059707+0.001366 test-mlogloss:0.762428+0.027669
## [361] train-mlogloss:0.059463+0.001258 test-mlogloss:0.762991+0.027757
## [362] train-mlogloss:0.059128+0.001230 test-mlogloss:0.763270+0.027529
## [363] train-mlogloss:0.058789+0.001249 test-mlogloss:0.763749+0.027569
## [364] train-mlogloss:0.058501+0.001222 test-mlogloss:0.764170+0.027778
## [365] train-mlogloss:0.058213+0.001229 test-mlogloss:0.764726+0.027715
## [366] train-mlogloss:0.057932+0.001251 test-mlogloss:0.765265+0.027778
## [367] train-mlogloss:0.057620+0.001256 test-mlogloss:0.765726+0.027775
## [368] train-mlogloss:0.057380+0.001296 test-mlogloss:0.766693+0.027856
## [369] train-mlogloss:0.057098+0.001348 test-mlogloss:0.767469+0.027333
## [370] train-mlogloss:0.056848+0.001346 test-mlogloss:0.767634+0.027196
## [371] train-mlogloss:0.056599+0.001350 test-mlogloss:0.768503+0.026815
## [372] train-mlogloss:0.056332+0.001333 test-mlogloss:0.769263+0.026871
## [373] train-mlogloss:0.056090+0.001289 test-mlogloss:0.770048+0.026781
## [374] train-mlogloss:0.055861+0.001322 test-mlogloss:0.770725+0.026906
## [375] train-mlogloss:0.055580+0.001288 test-mlogloss:0.770840+0.026895
## [376] train-mlogloss:0.055307+0.001232 test-mlogloss:0.771113+0.027294
## [377] train-mlogloss:0.055047+0.001206 test-mlogloss:0.771544+0.027421
## [378] train-mlogloss:0.054839+0.001195 test-mlogloss:0.772127+0.027788
## [379] train-mlogloss:0.054541+0.001138 test-mlogloss:0.772849+0.027107
## [380] train-mlogloss:0.054293+0.001147 test-mlogloss:0.773554+0.027445
## [381] train-mlogloss:0.054038+0.001155 test-mlogloss:0.773873+0.027133
## [382] train-mlogloss:0.053814+0.001095 test-mlogloss:0.774471+0.027234
## [383] train-mlogloss:0.053554+0.001085 test-mlogloss:0.774989+0.027044
## [384] train-mlogloss:0.053306+0.001056 test-mlogloss:0.775534+0.027218
## [385] train-mlogloss:0.053020+0.001062 test-mlogloss:0.775616+0.026918
## [386] train-mlogloss:0.052763+0.001011 test-mlogloss:0.776045+0.026814
## [387] train-mlogloss:0.052510+0.001007 test-mlogloss:0.776266+0.026491
## [388] train-mlogloss:0.052289+0.000973 test-mlogloss:0.777362+0.026665
## [389] train-mlogloss:0.052081+0.001016 test-mlogloss:0.778140+0.026625
## [390] train-mlogloss:0.051839+0.001009 test-mlogloss:0.778759+0.026603
## [391] train-mlogloss:0.051551+0.001015 test-mlogloss:0.778829+0.027058
## [392] train-mlogloss:0.051327+0.001017 test-mlogloss:0.779540+0.026783
## [393] train-mlogloss:0.051132+0.001038 test-mlogloss:0.779591+0.026809
## [394] train-mlogloss:0.050912+0.001053 test-mlogloss:0.780059+0.027113
## [395] train-mlogloss:0.050694+0.001034 test-mlogloss:0.780368+0.027204
## [396] train-mlogloss:0.050488+0.001042 test-mlogloss:0.780938+0.027019
## [397] train-mlogloss:0.050249+0.001027 test-mlogloss:0.781548+0.027531
## [398] train-mlogloss:0.050033+0.001021 test-mlogloss:0.781727+0.027566
## [399] train-mlogloss:0.049791+0.001018 test-mlogloss:0.782332+0.028040
## [400] train-mlogloss:0.049545+0.001065 test-mlogloss:0.782710+0.028349
## [401] train-mlogloss:0.049305+0.001105 test-mlogloss:0.783255+0.028526
## [402] train-mlogloss:0.049091+0.001091 test-mlogloss:0.783741+0.029170
## [403] train-mlogloss:0.048865+0.001090 test-mlogloss:0.784300+0.029353
## [404] train-mlogloss:0.048635+0.001101 test-mlogloss:0.784912+0.029194
## [405] train-mlogloss:0.048436+0.001116 test-mlogloss:0.785877+0.029334
## [406] train-mlogloss:0.048266+0.001102 test-mlogloss:0.786421+0.029282
## [407] train-mlogloss:0.048043+0.001036 test-mlogloss:0.786961+0.029566
## [408] train-mlogloss:0.047796+0.001047 test-mlogloss:0.787218+0.029541
## [409] train-mlogloss:0.047561+0.001042 test-mlogloss:0.787853+0.029748
## [410] train-mlogloss:0.047342+0.001036 test-mlogloss:0.788512+0.030018
## [411] train-mlogloss:0.047158+0.001058 test-mlogloss:0.789124+0.029527
## [412] train-mlogloss:0.046909+0.001054 test-mlogloss:0.789366+0.029567
## [413] train-mlogloss:0.046682+0.001071 test-mlogloss:0.790352+0.029821
## [414] train-mlogloss:0.046486+0.001051 test-mlogloss:0.790728+0.029530
## [415] train-mlogloss:0.046311+0.001040 test-mlogloss:0.791400+0.029728
## [416] train-mlogloss:0.046137+0.001035 test-mlogloss:0.792475+0.030265
## [417] train-mlogloss:0.045946+0.001057 test-mlogloss:0.792680+0.030184
## [418] train-mlogloss:0.045762+0.001081 test-mlogloss:0.793616+0.030193
## [419] train-mlogloss:0.045540+0.001089 test-mlogloss:0.793557+0.030064
## [420] train-mlogloss:0.045354+0.001083 test-mlogloss:0.794063+0.030016
## [421] train-mlogloss:0.045174+0.001081 test-mlogloss:0.795325+0.029639
## [422] train-mlogloss:0.044973+0.001111 test-mlogloss:0.795085+0.029492
## [423] train-mlogloss:0.044779+0.001140 test-mlogloss:0.795554+0.029895
## [424] train-mlogloss:0.044599+0.001148 test-mlogloss:0.796045+0.030118
## [425] train-mlogloss:0.044376+0.001176 test-mlogloss:0.796574+0.030131
## [426] train-mlogloss:0.044199+0.001174 test-mlogloss:0.796869+0.030083
## [427] train-mlogloss:0.044008+0.001147 test-mlogloss:0.797493+0.029896
## [428] train-mlogloss:0.043796+0.001116 test-mlogloss:0.798264+0.029476
## [429] train-mlogloss:0.043595+0.001125 test-mlogloss:0.798628+0.029897
## [430] train-mlogloss:0.043419+0.001141 test-mlogloss:0.799088+0.029684
## [431] train-mlogloss:0.043236+0.001160 test-mlogloss:0.799804+0.029492
## [432] train-mlogloss:0.043009+0.001155 test-mlogloss:0.800037+0.029197
## [433] train-mlogloss:0.042815+0.001161 test-mlogloss:0.800492+0.029186
## [434] train-mlogloss:0.042621+0.001132 test-mlogloss:0.801545+0.029151
## [435] train-mlogloss:0.042426+0.001160 test-mlogloss:0.801958+0.028952
## [436] train-mlogloss:0.042245+0.001175 test-mlogloss:0.802238+0.029004
## [437] train-mlogloss:0.042052+0.001152 test-mlogloss:0.802830+0.029172
## [438] train-mlogloss:0.041882+0.001112 test-mlogloss:0.803557+0.028938
## [439] train-mlogloss:0.041696+0.001116 test-mlogloss:0.804261+0.029351
## [440] train-mlogloss:0.041539+0.001109 test-mlogloss:0.804916+0.029415
## [441] train-mlogloss:0.041346+0.001094 test-mlogloss:0.805870+0.029151
## [442] train-mlogloss:0.041178+0.001044 test-mlogloss:0.806740+0.029105
## [443] train-mlogloss:0.041002+0.001046 test-mlogloss:0.807388+0.028876
## [444] train-mlogloss:0.040830+0.001026 test-mlogloss:0.808204+0.028758
## [445] train-mlogloss:0.040642+0.001026 test-mlogloss:0.809100+0.028991
## [446] train-mlogloss:0.040473+0.001040 test-mlogloss:0.809675+0.029614
## [447] train-mlogloss:0.040310+0.001023 test-mlogloss:0.810193+0.029451
## [448] train-mlogloss:0.040153+0.001005 test-mlogloss:0.810670+0.030164
## [449] train-mlogloss:0.039996+0.001017 test-mlogloss:0.810470+0.030084
## [450] train-mlogloss:0.039795+0.001035 test-mlogloss:0.811087+0.030049
## [451] train-mlogloss:0.039624+0.001023 test-mlogloss:0.811827+0.029952
## [452] train-mlogloss:0.039466+0.001016 test-mlogloss:0.812230+0.029997
## [453] train-mlogloss:0.039319+0.000994 test-mlogloss:0.812355+0.030098
## [454] train-mlogloss:0.039140+0.000979 test-mlogloss:0.812795+0.030405
## [455] train-mlogloss:0.038982+0.000966 test-mlogloss:0.812963+0.030228
## [456] train-mlogloss:0.038834+0.000970 test-mlogloss:0.813573+0.030282
## [457] train-mlogloss:0.038700+0.000958 test-mlogloss:0.813847+0.030396
## [458] train-mlogloss:0.038561+0.000948 test-mlogloss:0.814900+0.030053
## [459] train-mlogloss:0.038410+0.000947 test-mlogloss:0.815318+0.030180
## [460] train-mlogloss:0.038276+0.000952 test-mlogloss:0.816234+0.030379
## [461] train-mlogloss:0.038130+0.000979 test-mlogloss:0.816559+0.030570
## [462] train-mlogloss:0.037940+0.001003 test-mlogloss:0.817111+0.030319
## [463] train-mlogloss:0.037769+0.001028 test-mlogloss:0.817553+0.030059
## [464] train-mlogloss:0.037612+0.001031 test-mlogloss:0.818275+0.029793
## [465] train-mlogloss:0.037452+0.001012 test-mlogloss:0.818799+0.029647
## [466] train-mlogloss:0.037309+0.000984 test-mlogloss:0.819296+0.029433
## [467] train-mlogloss:0.037158+0.000995 test-mlogloss:0.819940+0.029514
## [468] train-mlogloss:0.037008+0.000990 test-mlogloss:0.820250+0.029308
## [469] train-mlogloss:0.036847+0.000986 test-mlogloss:0.820345+0.029386
## [470] train-mlogloss:0.036708+0.000987 test-mlogloss:0.821306+0.028563
## [471] train-mlogloss:0.036544+0.000987 test-mlogloss:0.821985+0.028643
## [472] train-mlogloss:0.036396+0.000989 test-mlogloss:0.822434+0.028671
## [473] train-mlogloss:0.036253+0.000986 test-mlogloss:0.823215+0.028607
## [474] train-mlogloss:0.036091+0.000978 test-mlogloss:0.823472+0.028874
## [475] train-mlogloss:0.035938+0.000957 test-mlogloss:0.823930+0.028938
## [476] train-mlogloss:0.035780+0.000965 test-mlogloss:0.824596+0.029149
## [477] train-mlogloss:0.035634+0.000953 test-mlogloss:0.825283+0.029144
## [478] train-mlogloss:0.035480+0.000950 test-mlogloss:0.825563+0.029248
## [479] train-mlogloss:0.035319+0.000925 test-mlogloss:0.826073+0.029405
## [480] train-mlogloss:0.035176+0.000918 test-mlogloss:0.826032+0.029399
## [481] train-mlogloss:0.035011+0.000891 test-mlogloss:0.826323+0.029803
## [482] train-mlogloss:0.034894+0.000912 test-mlogloss:0.827175+0.029649
## [483] train-mlogloss:0.034766+0.000927 test-mlogloss:0.827771+0.030016
## [484] train-mlogloss:0.034628+0.000929 test-mlogloss:0.828242+0.029755
## [485] train-mlogloss:0.034456+0.000918 test-mlogloss:0.828471+0.029448
## [486] train-mlogloss:0.034300+0.000921 test-mlogloss:0.829048+0.029558
## [487] train-mlogloss:0.034175+0.000912 test-mlogloss:0.829327+0.029707
## [488] train-mlogloss:0.034039+0.000900 test-mlogloss:0.829802+0.029367
## [489] train-mlogloss:0.033895+0.000914 test-mlogloss:0.830710+0.029324
## [490] train-mlogloss:0.033769+0.000921 test-mlogloss:0.831577+0.029336
## [491] train-mlogloss:0.033627+0.000942 test-mlogloss:0.831734+0.029500
## [492] train-mlogloss:0.033486+0.000935 test-mlogloss:0.831933+0.029425
## [493] train-mlogloss:0.033333+0.000939 test-mlogloss:0.832338+0.029509
## [494] train-mlogloss:0.033187+0.000946 test-mlogloss:0.832958+0.029080
## [495] train-mlogloss:0.033047+0.000934 test-mlogloss:0.833499+0.029011
## [496] train-mlogloss:0.032906+0.000946 test-mlogloss:0.833813+0.029334
## [497] train-mlogloss:0.032783+0.000922 test-mlogloss:0.834212+0.029302
## [498] train-mlogloss:0.032675+0.000917 test-mlogloss:0.834409+0.028565
## [499] train-mlogloss:0.032541+0.000923 test-mlogloss:0.834726+0.028608
## [500] train-mlogloss:0.032398+0.000897 test-mlogloss:0.835309+0.028786
## [1] train-mlogloss:0.554270+0.001254 test-mlogloss:0.633465+0.003191
## [2] train-mlogloss:0.466126+0.001722 test-mlogloss:0.600397+0.004159
## [3] train-mlogloss:0.398770+0.001754 test-mlogloss:0.582855+0.006112
## [4] train-mlogloss:0.346027+0.001180 test-mlogloss:0.574075+0.008298
## [5] train-mlogloss:0.303149+0.001569 test-mlogloss:0.570313+0.009942
## [6] train-mlogloss:0.268515+0.001636 test-mlogloss:0.569120+0.012817
## [7] train-mlogloss:0.239869+0.001722 test-mlogloss:0.570202+0.014011
## [8] train-mlogloss:0.216640+0.001492 test-mlogloss:0.573360+0.015599
## [9] train-mlogloss:0.197112+0.002253 test-mlogloss:0.575238+0.015910
## [10] train-mlogloss:0.181699+0.003409 test-mlogloss:0.579650+0.016464
## [11] train-mlogloss:0.168635+0.003503 test-mlogloss:0.582679+0.017179
## [12] train-mlogloss:0.157557+0.002678 test-mlogloss:0.586758+0.018531
## [13] train-mlogloss:0.147943+0.002520 test-mlogloss:0.590738+0.018065
## [14] train-mlogloss:0.139479+0.003201 test-mlogloss:0.594424+0.018153
## [15] train-mlogloss:0.130779+0.003464 test-mlogloss:0.597541+0.017665
## [16] train-mlogloss:0.122482+0.003346 test-mlogloss:0.600599+0.017260
## [17] train-mlogloss:0.115205+0.004284 test-mlogloss:0.604529+0.016790
## [18] train-mlogloss:0.107715+0.003833 test-mlogloss:0.609948+0.017117
## [19] train-mlogloss:0.101109+0.003276 test-mlogloss:0.615239+0.016396
## [20] train-mlogloss:0.095074+0.002875 test-mlogloss:0.619538+0.017258
## [21] train-mlogloss:0.089633+0.002739 test-mlogloss:0.624011+0.018378
## [22] train-mlogloss:0.084507+0.002399 test-mlogloss:0.626733+0.018590
## [23] train-mlogloss:0.080078+0.002061 test-mlogloss:0.631011+0.018572
## [24] train-mlogloss:0.076040+0.001956 test-mlogloss:0.635381+0.019215
## [25] train-mlogloss:0.072309+0.001914 test-mlogloss:0.639395+0.019618
## [26] train-mlogloss:0.068819+0.001761 test-mlogloss:0.642897+0.020863
## [27] train-mlogloss:0.065620+0.001687 test-mlogloss:0.645916+0.021600
## [28] train-mlogloss:0.062668+0.001429 test-mlogloss:0.649735+0.021402
## [29] train-mlogloss:0.059984+0.001345 test-mlogloss:0.652101+0.022389
## [30] train-mlogloss:0.057462+0.001231 test-mlogloss:0.654899+0.022519
## [31] train-mlogloss:0.055187+0.001188 test-mlogloss:0.657671+0.022947
## [32] train-mlogloss:0.053045+0.001005 test-mlogloss:0.661683+0.023913
## [33] train-mlogloss:0.051093+0.000957 test-mlogloss:0.665039+0.023874
## [34] train-mlogloss:0.049413+0.000975 test-mlogloss:0.668196+0.024104
## [35] train-mlogloss:0.047628+0.000874 test-mlogloss:0.670773+0.024428
## [36] train-mlogloss:0.045953+0.000876 test-mlogloss:0.672949+0.024026
## [37] train-mlogloss:0.044433+0.000780 test-mlogloss:0.675504+0.023500
## [38] train-mlogloss:0.043035+0.000725 test-mlogloss:0.678510+0.023835
## [39] train-mlogloss:0.041687+0.000682 test-mlogloss:0.681317+0.023471
## [40] train-mlogloss:0.040420+0.000627 test-mlogloss:0.684201+0.023038
## [41] train-mlogloss:0.039227+0.000650 test-mlogloss:0.687170+0.022591
## [42] train-mlogloss:0.038078+0.000642 test-mlogloss:0.689383+0.022566
## [43] train-mlogloss:0.036973+0.000613 test-mlogloss:0.692030+0.022883
## [44] train-mlogloss:0.035997+0.000572 test-mlogloss:0.694671+0.023284
## [45] train-mlogloss:0.035075+0.000540 test-mlogloss:0.696364+0.024346
## [46] train-mlogloss:0.034176+0.000591 test-mlogloss:0.698090+0.024358
## [47] train-mlogloss:0.033339+0.000569 test-mlogloss:0.700004+0.024809
## [48] train-mlogloss:0.032531+0.000542 test-mlogloss:0.702787+0.025002
## [49] train-mlogloss:0.031739+0.000541 test-mlogloss:0.704754+0.025555
## [50] train-mlogloss:0.030983+0.000538 test-mlogloss:0.707067+0.025584
## [51] train-mlogloss:0.030262+0.000512 test-mlogloss:0.708849+0.025506
## [52] train-mlogloss:0.029601+0.000475 test-mlogloss:0.710182+0.026177
## [53] train-mlogloss:0.028948+0.000445 test-mlogloss:0.711977+0.026499
## [54] train-mlogloss:0.028310+0.000431 test-mlogloss:0.713945+0.027213
## [55] train-mlogloss:0.027706+0.000425 test-mlogloss:0.715850+0.026987
## [56] train-mlogloss:0.027175+0.000412 test-mlogloss:0.718314+0.027054
## [57] train-mlogloss:0.026631+0.000391 test-mlogloss:0.720823+0.027309
## [58] train-mlogloss:0.026088+0.000391 test-mlogloss:0.722436+0.027130
## [59] train-mlogloss:0.025570+0.000362 test-mlogloss:0.725460+0.027605
## [60] train-mlogloss:0.025089+0.000343 test-mlogloss:0.726587+0.027923
## [61] train-mlogloss:0.024647+0.000330 test-mlogloss:0.728689+0.027622
## [62] train-mlogloss:0.024212+0.000312 test-mlogloss:0.730786+0.027758
## [63] train-mlogloss:0.023797+0.000312 test-mlogloss:0.732958+0.027425
## [64] train-mlogloss:0.023400+0.000325 test-mlogloss:0.734245+0.026820
## [65] train-mlogloss:0.022996+0.000316 test-mlogloss:0.735966+0.026481
## [66] train-mlogloss:0.022605+0.000291 test-mlogloss:0.737934+0.026678
## [67] train-mlogloss:0.022221+0.000265 test-mlogloss:0.739588+0.026895
## [68] train-mlogloss:0.021849+0.000245 test-mlogloss:0.741599+0.027516
## [69] train-mlogloss:0.021502+0.000242 test-mlogloss:0.743803+0.028113
## [70] train-mlogloss:0.021153+0.000237 test-mlogloss:0.745226+0.028062
## [71] train-mlogloss:0.020816+0.000244 test-mlogloss:0.747112+0.027927
## [72] train-mlogloss:0.020518+0.000233 test-mlogloss:0.749039+0.027562
## [73] train-mlogloss:0.020202+0.000218 test-mlogloss:0.750531+0.027899
## [74] train-mlogloss:0.019913+0.000215 test-mlogloss:0.751859+0.028179
## [75] train-mlogloss:0.019613+0.000201 test-mlogloss:0.753563+0.028335
## [76] train-mlogloss:0.019353+0.000196 test-mlogloss:0.754670+0.028614
## [77] train-mlogloss:0.019093+0.000193 test-mlogloss:0.756449+0.028983
## [78] train-mlogloss:0.018830+0.000185 test-mlogloss:0.757707+0.028786
## [79] train-mlogloss:0.018580+0.000184 test-mlogloss:0.759250+0.028571
## [80] train-mlogloss:0.018335+0.000185 test-mlogloss:0.760926+0.029289
## [81] train-mlogloss:0.018089+0.000178 test-mlogloss:0.762461+0.029032
## [82] train-mlogloss:0.017850+0.000177 test-mlogloss:0.764003+0.029144
## [83] train-mlogloss:0.017619+0.000174 test-mlogloss:0.765080+0.029094
## [84] train-mlogloss:0.017408+0.000178 test-mlogloss:0.766478+0.029300
## [85] train-mlogloss:0.017196+0.000183 test-mlogloss:0.767684+0.029387
## [86] train-mlogloss:0.016992+0.000175 test-mlogloss:0.769307+0.029817
## [87] train-mlogloss:0.016788+0.000166 test-mlogloss:0.770875+0.029732
## [88] train-mlogloss:0.016589+0.000159 test-mlogloss:0.772036+0.030133
## [89] train-mlogloss:0.016402+0.000163 test-mlogloss:0.773727+0.030267
## [90] train-mlogloss:0.016220+0.000155 test-mlogloss:0.775232+0.030669
## [91] train-mlogloss:0.016037+0.000144 test-mlogloss:0.776717+0.030877
## [92] train-mlogloss:0.015851+0.000136 test-mlogloss:0.778329+0.030630
## [93] train-mlogloss:0.015677+0.000130 test-mlogloss:0.779245+0.030543
## [94] train-mlogloss:0.015506+0.000126 test-mlogloss:0.780320+0.030762
## [95] train-mlogloss:0.015342+0.000119 test-mlogloss:0.781772+0.030533
## [96] train-mlogloss:0.015180+0.000113 test-mlogloss:0.782958+0.030152
## [97] train-mlogloss:0.015023+0.000109 test-mlogloss:0.784138+0.030422
## [98] train-mlogloss:0.014867+0.000114 test-mlogloss:0.785284+0.030472
## [99] train-mlogloss:0.014715+0.000117 test-mlogloss:0.786135+0.030872
## [100] train-mlogloss:0.014568+0.000113 test-mlogloss:0.787807+0.031256
## [101] train-mlogloss:0.014433+0.000111 test-mlogloss:0.788097+0.031459
## [102] train-mlogloss:0.014290+0.000110 test-mlogloss:0.789100+0.031574
## [103] train-mlogloss:0.014151+0.000101 test-mlogloss:0.790099+0.031288
## [104] train-mlogloss:0.014019+0.000100 test-mlogloss:0.791111+0.031826
## [105] train-mlogloss:0.013886+0.000102 test-mlogloss:0.792070+0.031862
## [106] train-mlogloss:0.013756+0.000099 test-mlogloss:0.793310+0.031572
## [107] train-mlogloss:0.013633+0.000104 test-mlogloss:0.794310+0.031720
## [108] train-mlogloss:0.013508+0.000099 test-mlogloss:0.795373+0.031735
## [109] train-mlogloss:0.013383+0.000095 test-mlogloss:0.796811+0.031769
## [110] train-mlogloss:0.013262+0.000095 test-mlogloss:0.797243+0.031642
## [111] train-mlogloss:0.013148+0.000092 test-mlogloss:0.798852+0.031932
## [112] train-mlogloss:0.013034+0.000091 test-mlogloss:0.800146+0.031854
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## [114] train-mlogloss:0.012801+0.000082 test-mlogloss:0.802397+0.031665
## [115] train-mlogloss:0.012696+0.000085 test-mlogloss:0.803336+0.031717
## [116] train-mlogloss:0.012593+0.000083 test-mlogloss:0.804521+0.032103
## [117] train-mlogloss:0.012488+0.000088 test-mlogloss:0.805200+0.032334
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## [119] train-mlogloss:0.012289+0.000091 test-mlogloss:0.807618+0.032230
## [120] train-mlogloss:0.012194+0.000090 test-mlogloss:0.808405+0.032254
## [121] train-mlogloss:0.012096+0.000089 test-mlogloss:0.809387+0.032701
## [122] train-mlogloss:0.012004+0.000087 test-mlogloss:0.810494+0.032596
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## [125] train-mlogloss:0.011724+0.000099 test-mlogloss:0.812984+0.032293
## [126] train-mlogloss:0.011636+0.000097 test-mlogloss:0.813439+0.032649
## [127] train-mlogloss:0.011548+0.000095 test-mlogloss:0.814448+0.033176
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## [130] train-mlogloss:0.011293+0.000096 test-mlogloss:0.817192+0.032894
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## [136] train-mlogloss:0.010825+0.000088 test-mlogloss:0.822166+0.033071
## [137] train-mlogloss:0.010750+0.000087 test-mlogloss:0.823082+0.033261
## [138] train-mlogloss:0.010680+0.000087 test-mlogloss:0.823736+0.033515
## [139] train-mlogloss:0.010609+0.000084 test-mlogloss:0.824872+0.033110
## [140] train-mlogloss:0.010542+0.000082 test-mlogloss:0.825762+0.033193
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## [142] train-mlogloss:0.010406+0.000084 test-mlogloss:0.827106+0.033241
## [143] train-mlogloss:0.010338+0.000085 test-mlogloss:0.827996+0.033032
## [144] train-mlogloss:0.010271+0.000087 test-mlogloss:0.828698+0.032597
## [145] train-mlogloss:0.010210+0.000085 test-mlogloss:0.829490+0.032751
## [146] train-mlogloss:0.010147+0.000085 test-mlogloss:0.830928+0.032536
## [147] train-mlogloss:0.010083+0.000085 test-mlogloss:0.831258+0.032683
## [148] train-mlogloss:0.010022+0.000081 test-mlogloss:0.831924+0.032686
## [149] train-mlogloss:0.009958+0.000081 test-mlogloss:0.832850+0.033051
## [150] train-mlogloss:0.009897+0.000083 test-mlogloss:0.833798+0.033748
## [151] train-mlogloss:0.009839+0.000084 test-mlogloss:0.834655+0.034051
## [152] train-mlogloss:0.009781+0.000085 test-mlogloss:0.835472+0.034020
## [153] train-mlogloss:0.009723+0.000083 test-mlogloss:0.836307+0.033845
## [154] train-mlogloss:0.009667+0.000082 test-mlogloss:0.836982+0.034074
## [155] train-mlogloss:0.009611+0.000082 test-mlogloss:0.837609+0.034161
## [156] train-mlogloss:0.009556+0.000083 test-mlogloss:0.838403+0.034459
## [157] train-mlogloss:0.009499+0.000080 test-mlogloss:0.839267+0.034816
## [158] train-mlogloss:0.009444+0.000076 test-mlogloss:0.839915+0.034951
## [159] train-mlogloss:0.009388+0.000078 test-mlogloss:0.840999+0.035432
## [160] train-mlogloss:0.009337+0.000077 test-mlogloss:0.841753+0.035115
## [161] train-mlogloss:0.009285+0.000074 test-mlogloss:0.842579+0.034896
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## [168] train-mlogloss:0.008937+0.000070 test-mlogloss:0.847756+0.035083
## [169] train-mlogloss:0.008889+0.000070 test-mlogloss:0.847964+0.035197
## [170] train-mlogloss:0.008842+0.000071 test-mlogloss:0.849052+0.035226
## [171] train-mlogloss:0.008796+0.000070 test-mlogloss:0.849499+0.035417
## [172] train-mlogloss:0.008748+0.000069 test-mlogloss:0.849726+0.035335
## [173] train-mlogloss:0.008703+0.000070 test-mlogloss:0.850229+0.035494
## [174] train-mlogloss:0.008661+0.000068 test-mlogloss:0.850784+0.035460
## [175] train-mlogloss:0.008618+0.000064 test-mlogloss:0.851658+0.035722
## [176] train-mlogloss:0.008576+0.000063 test-mlogloss:0.852151+0.035810
## [177] train-mlogloss:0.008533+0.000062 test-mlogloss:0.852983+0.035697
## [178] train-mlogloss:0.008490+0.000061 test-mlogloss:0.853641+0.035617
## [179] train-mlogloss:0.008448+0.000064 test-mlogloss:0.854661+0.035545
## [180] train-mlogloss:0.008407+0.000064 test-mlogloss:0.854962+0.035798
## [181] train-mlogloss:0.008367+0.000066 test-mlogloss:0.856087+0.036004
## [182] train-mlogloss:0.008327+0.000066 test-mlogloss:0.856618+0.035782
## [183] train-mlogloss:0.008288+0.000067 test-mlogloss:0.857027+0.035726
## [184] train-mlogloss:0.008250+0.000065 test-mlogloss:0.858343+0.035543
## [185] train-mlogloss:0.008213+0.000065 test-mlogloss:0.858893+0.035286
## [186] train-mlogloss:0.008174+0.000063 test-mlogloss:0.859855+0.034985
## [187] train-mlogloss:0.008136+0.000064 test-mlogloss:0.860763+0.034789
## [188] train-mlogloss:0.008097+0.000065 test-mlogloss:0.861492+0.035036
## [189] train-mlogloss:0.008058+0.000064 test-mlogloss:0.862089+0.035192
## [190] train-mlogloss:0.008025+0.000061 test-mlogloss:0.863113+0.035003
## [191] train-mlogloss:0.007988+0.000063 test-mlogloss:0.863752+0.035184
## [192] train-mlogloss:0.007953+0.000063 test-mlogloss:0.864206+0.034951
## [193] train-mlogloss:0.007919+0.000061 test-mlogloss:0.864538+0.034852
## [194] train-mlogloss:0.007885+0.000061 test-mlogloss:0.864541+0.035421
## [195] train-mlogloss:0.007851+0.000060 test-mlogloss:0.865089+0.035212
## [196] train-mlogloss:0.007815+0.000062 test-mlogloss:0.865647+0.034853
## [197] train-mlogloss:0.007784+0.000062 test-mlogloss:0.865959+0.034878
## [198] train-mlogloss:0.007751+0.000060 test-mlogloss:0.866646+0.034661
## [199] train-mlogloss:0.007719+0.000059 test-mlogloss:0.867276+0.034636
## [200] train-mlogloss:0.007685+0.000061 test-mlogloss:0.868028+0.034447
## [201] train-mlogloss:0.007651+0.000060 test-mlogloss:0.868663+0.034364
## [202] train-mlogloss:0.007620+0.000061 test-mlogloss:0.869297+0.034650
## [203] train-mlogloss:0.007591+0.000061 test-mlogloss:0.869761+0.034817
## [204] train-mlogloss:0.007560+0.000059 test-mlogloss:0.870465+0.034955
## [205] train-mlogloss:0.007528+0.000060 test-mlogloss:0.871132+0.034778
## [206] train-mlogloss:0.007496+0.000061 test-mlogloss:0.871737+0.034763
## [207] train-mlogloss:0.007466+0.000061 test-mlogloss:0.872775+0.034766
## [208] train-mlogloss:0.007436+0.000060 test-mlogloss:0.872741+0.034546
## [209] train-mlogloss:0.007407+0.000059 test-mlogloss:0.873545+0.034640
## [210] train-mlogloss:0.007377+0.000058 test-mlogloss:0.873928+0.034886
## [211] train-mlogloss:0.007348+0.000058 test-mlogloss:0.874440+0.034816
## [212] train-mlogloss:0.007317+0.000058 test-mlogloss:0.874772+0.034993
## [213] train-mlogloss:0.007289+0.000061 test-mlogloss:0.875109+0.035473
## [214] train-mlogloss:0.007261+0.000061 test-mlogloss:0.875506+0.035923
## [215] train-mlogloss:0.007230+0.000062 test-mlogloss:0.876226+0.036333
## [216] train-mlogloss:0.007201+0.000062 test-mlogloss:0.876790+0.036205
## [217] train-mlogloss:0.007173+0.000062 test-mlogloss:0.877213+0.036474
## [218] train-mlogloss:0.007144+0.000059 test-mlogloss:0.877736+0.036309
## [219] train-mlogloss:0.007118+0.000058 test-mlogloss:0.877962+0.036132
## [220] train-mlogloss:0.007091+0.000056 test-mlogloss:0.878490+0.036258
## [221] train-mlogloss:0.007066+0.000058 test-mlogloss:0.879517+0.036143
## [222] train-mlogloss:0.007040+0.000057 test-mlogloss:0.880149+0.036322
## [223] train-mlogloss:0.007012+0.000057 test-mlogloss:0.880748+0.036005
## [224] train-mlogloss:0.006986+0.000057 test-mlogloss:0.881611+0.035713
## [225] train-mlogloss:0.006959+0.000056 test-mlogloss:0.881853+0.036045
## [226] train-mlogloss:0.006932+0.000057 test-mlogloss:0.882914+0.035965
## [227] train-mlogloss:0.006907+0.000056 test-mlogloss:0.883229+0.036401
## [228] train-mlogloss:0.006882+0.000057 test-mlogloss:0.883918+0.036225
## [229] train-mlogloss:0.006855+0.000056 test-mlogloss:0.884401+0.036386
## [230] train-mlogloss:0.006831+0.000056 test-mlogloss:0.884931+0.036725
## [231] train-mlogloss:0.006807+0.000057 test-mlogloss:0.885595+0.036931
## [232] train-mlogloss:0.006784+0.000055 test-mlogloss:0.886222+0.037014
## [233] train-mlogloss:0.006762+0.000052 test-mlogloss:0.886585+0.036339
## [234] train-mlogloss:0.006739+0.000051 test-mlogloss:0.886995+0.036056
## [235] train-mlogloss:0.006714+0.000051 test-mlogloss:0.887419+0.036160
## [236] train-mlogloss:0.006692+0.000051 test-mlogloss:0.888090+0.036381
## [237] train-mlogloss:0.006671+0.000049 test-mlogloss:0.888474+0.036339
## [238] train-mlogloss:0.006649+0.000049 test-mlogloss:0.888982+0.036109
## [239] train-mlogloss:0.006628+0.000048 test-mlogloss:0.888988+0.036395
## [240] train-mlogloss:0.006606+0.000046 test-mlogloss:0.889752+0.036166
## [241] train-mlogloss:0.006583+0.000046 test-mlogloss:0.890402+0.036243
## [242] train-mlogloss:0.006560+0.000046 test-mlogloss:0.890758+0.036064
## [243] train-mlogloss:0.006538+0.000045 test-mlogloss:0.891195+0.036324
## [244] train-mlogloss:0.006517+0.000044 test-mlogloss:0.891664+0.036308
## [245] train-mlogloss:0.006496+0.000045 test-mlogloss:0.892052+0.036387
## [246] train-mlogloss:0.006474+0.000046 test-mlogloss:0.892306+0.036585
## [247] train-mlogloss:0.006451+0.000046 test-mlogloss:0.893000+0.036924
## [248] train-mlogloss:0.006430+0.000046 test-mlogloss:0.893554+0.036781
## [249] train-mlogloss:0.006410+0.000045 test-mlogloss:0.894212+0.036407
## [250] train-mlogloss:0.006389+0.000045 test-mlogloss:0.894595+0.036334
## [251] train-mlogloss:0.006369+0.000047 test-mlogloss:0.895355+0.036411
## [252] train-mlogloss:0.006347+0.000046 test-mlogloss:0.895637+0.036528
## [253] train-mlogloss:0.006327+0.000044 test-mlogloss:0.896183+0.036395
## [254] train-mlogloss:0.006307+0.000046 test-mlogloss:0.896611+0.036216
## [255] train-mlogloss:0.006289+0.000045 test-mlogloss:0.897028+0.036298
## [256] train-mlogloss:0.006269+0.000044 test-mlogloss:0.897456+0.036070
## [257] train-mlogloss:0.006248+0.000045 test-mlogloss:0.897544+0.035487
## [258] train-mlogloss:0.006229+0.000043 test-mlogloss:0.898182+0.035627
## [259] train-mlogloss:0.006207+0.000043 test-mlogloss:0.898595+0.035817
## [260] train-mlogloss:0.006189+0.000043 test-mlogloss:0.899095+0.035852
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## [262] train-mlogloss:0.006151+0.000042 test-mlogloss:0.900102+0.035859
## [263] train-mlogloss:0.006131+0.000043 test-mlogloss:0.900922+0.036001
## [264] train-mlogloss:0.006113+0.000043 test-mlogloss:0.901314+0.036349
## [265] train-mlogloss:0.006094+0.000044 test-mlogloss:0.901622+0.036551
## [266] train-mlogloss:0.006076+0.000044 test-mlogloss:0.902222+0.036766
## [267] train-mlogloss:0.006058+0.000044 test-mlogloss:0.902690+0.036572
## [268] train-mlogloss:0.006041+0.000043 test-mlogloss:0.902902+0.036739
## [269] train-mlogloss:0.006023+0.000042 test-mlogloss:0.903307+0.036386
## [270] train-mlogloss:0.006005+0.000043 test-mlogloss:0.903670+0.036400
## [271] train-mlogloss:0.005986+0.000042 test-mlogloss:0.904166+0.036424
## [272] train-mlogloss:0.005968+0.000044 test-mlogloss:0.904260+0.036752
## [273] train-mlogloss:0.005950+0.000044 test-mlogloss:0.904540+0.036065
## [274] train-mlogloss:0.005932+0.000044 test-mlogloss:0.905173+0.035785
## [275] train-mlogloss:0.005917+0.000044 test-mlogloss:0.905273+0.035977
## [276] train-mlogloss:0.005900+0.000043 test-mlogloss:0.905559+0.035912
## [277] train-mlogloss:0.005883+0.000044 test-mlogloss:0.905888+0.036407
## [278] train-mlogloss:0.005867+0.000044 test-mlogloss:0.906240+0.036165
## [279] train-mlogloss:0.005851+0.000043 test-mlogloss:0.906591+0.036470
## [280] train-mlogloss:0.005834+0.000045 test-mlogloss:0.906981+0.036550
## [281] train-mlogloss:0.005817+0.000044 test-mlogloss:0.907385+0.036903
## [282] train-mlogloss:0.005801+0.000043 test-mlogloss:0.907711+0.037013
## [283] train-mlogloss:0.005786+0.000043 test-mlogloss:0.908061+0.036721
## [284] train-mlogloss:0.005772+0.000044 test-mlogloss:0.908328+0.036830
## [285] train-mlogloss:0.005756+0.000043 test-mlogloss:0.908968+0.036420
## [286] train-mlogloss:0.005740+0.000042 test-mlogloss:0.909642+0.036849
## [287] train-mlogloss:0.005724+0.000043 test-mlogloss:0.909773+0.036670
## [288] train-mlogloss:0.005711+0.000041 test-mlogloss:0.909771+0.036648
## [289] train-mlogloss:0.005695+0.000041 test-mlogloss:0.909859+0.036454
## [290] train-mlogloss:0.005679+0.000041 test-mlogloss:0.910788+0.036618
## [291] train-mlogloss:0.005664+0.000040 test-mlogloss:0.911256+0.036712
## [292] train-mlogloss:0.005650+0.000041 test-mlogloss:0.911781+0.036715
## [293] train-mlogloss:0.005637+0.000042 test-mlogloss:0.911967+0.036501
## [294] train-mlogloss:0.005622+0.000043 test-mlogloss:0.912234+0.036883
## [295] train-mlogloss:0.005606+0.000044 test-mlogloss:0.913099+0.036849
## [296] train-mlogloss:0.005591+0.000042 test-mlogloss:0.913814+0.036863
## [297] train-mlogloss:0.005576+0.000042 test-mlogloss:0.914090+0.036861
## [298] train-mlogloss:0.005561+0.000040 test-mlogloss:0.914440+0.036756
## [299] train-mlogloss:0.005547+0.000040 test-mlogloss:0.915020+0.036792
## [300] train-mlogloss:0.005533+0.000040 test-mlogloss:0.915070+0.036689
## [301] train-mlogloss:0.005519+0.000039 test-mlogloss:0.915463+0.036598
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## [305] train-mlogloss:0.005463+0.000042 test-mlogloss:0.917343+0.037322
## [306] train-mlogloss:0.005450+0.000041 test-mlogloss:0.917741+0.037163
## [307] train-mlogloss:0.005436+0.000042 test-mlogloss:0.918344+0.036675
## [308] train-mlogloss:0.005421+0.000041 test-mlogloss:0.918747+0.036759
## [309] train-mlogloss:0.005407+0.000041 test-mlogloss:0.918806+0.036686
## [310] train-mlogloss:0.005395+0.000040 test-mlogloss:0.919266+0.036467
## [311] train-mlogloss:0.005380+0.000040 test-mlogloss:0.919546+0.036661
## [312] train-mlogloss:0.005366+0.000039 test-mlogloss:0.919669+0.036844
## [313] train-mlogloss:0.005354+0.000039 test-mlogloss:0.919964+0.037020
## [314] train-mlogloss:0.005341+0.000039 test-mlogloss:0.920213+0.036439
## [315] train-mlogloss:0.005328+0.000039 test-mlogloss:0.920823+0.036322
## [316] train-mlogloss:0.005315+0.000039 test-mlogloss:0.921016+0.036498
## [317] train-mlogloss:0.005302+0.000038 test-mlogloss:0.921528+0.036220
## [318] train-mlogloss:0.005290+0.000038 test-mlogloss:0.921712+0.035941
## [319] train-mlogloss:0.005277+0.000038 test-mlogloss:0.922223+0.036032
## [320] train-mlogloss:0.005264+0.000039 test-mlogloss:0.922738+0.036189
## [321] train-mlogloss:0.005252+0.000039 test-mlogloss:0.923272+0.036095
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## [328] train-mlogloss:0.005169+0.000040 test-mlogloss:0.925963+0.035816
## [329] train-mlogloss:0.005157+0.000040 test-mlogloss:0.926483+0.036019
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## [332] train-mlogloss:0.005122+0.000041 test-mlogloss:0.927123+0.035673
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## [335] train-mlogloss:0.005086+0.000040 test-mlogloss:0.928304+0.036064
## [336] train-mlogloss:0.005074+0.000041 test-mlogloss:0.928747+0.036078
## [337] train-mlogloss:0.005061+0.000041 test-mlogloss:0.928744+0.035936
## [338] train-mlogloss:0.005050+0.000040 test-mlogloss:0.929288+0.035619
## [339] train-mlogloss:0.005039+0.000040 test-mlogloss:0.930062+0.035975
## [340] train-mlogloss:0.005029+0.000040 test-mlogloss:0.930455+0.035811
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## [343] train-mlogloss:0.004995+0.000041 test-mlogloss:0.930673+0.035644
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## [349] train-mlogloss:0.004929+0.000040 test-mlogloss:0.932372+0.036038
## [350] train-mlogloss:0.004919+0.000040 test-mlogloss:0.932593+0.036184
## [351] train-mlogloss:0.004909+0.000041 test-mlogloss:0.933110+0.036430
## [352] train-mlogloss:0.004898+0.000041 test-mlogloss:0.933431+0.036407
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## [356] train-mlogloss:0.004854+0.000041 test-mlogloss:0.935107+0.036270
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## [363] train-mlogloss:0.004786+0.000039 test-mlogloss:0.937015+0.035899
## [364] train-mlogloss:0.004775+0.000038 test-mlogloss:0.937473+0.036371
## [365] train-mlogloss:0.004766+0.000038 test-mlogloss:0.938004+0.036441
## [366] train-mlogloss:0.004756+0.000038 test-mlogloss:0.938389+0.036184
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## [368] train-mlogloss:0.004737+0.000039 test-mlogloss:0.938939+0.036045
## [369] train-mlogloss:0.004727+0.000038 test-mlogloss:0.938999+0.036423
## [370] train-mlogloss:0.004717+0.000037 test-mlogloss:0.939075+0.036636
## [371] train-mlogloss:0.004707+0.000036 test-mlogloss:0.939468+0.036666
## [372] train-mlogloss:0.004698+0.000036 test-mlogloss:0.939816+0.036522
## [373] train-mlogloss:0.004689+0.000036 test-mlogloss:0.940088+0.036504
## [374] train-mlogloss:0.004680+0.000035 test-mlogloss:0.940697+0.036257
## [375] train-mlogloss:0.004670+0.000034 test-mlogloss:0.941094+0.036008
## [376] train-mlogloss:0.004662+0.000035 test-mlogloss:0.941491+0.036428
## [377] train-mlogloss:0.004653+0.000035 test-mlogloss:0.941919+0.036445
## [378] train-mlogloss:0.004644+0.000035 test-mlogloss:0.942214+0.036706
## [379] train-mlogloss:0.004635+0.000036 test-mlogloss:0.942749+0.036698
## [380] train-mlogloss:0.004627+0.000036 test-mlogloss:0.943002+0.036634
## [381] train-mlogloss:0.004618+0.000037 test-mlogloss:0.943079+0.036519
## [382] train-mlogloss:0.004610+0.000036 test-mlogloss:0.943323+0.036669
## [383] train-mlogloss:0.004601+0.000035 test-mlogloss:0.943601+0.036613
## [384] train-mlogloss:0.004592+0.000035 test-mlogloss:0.943811+0.036559
## [385] train-mlogloss:0.004583+0.000035 test-mlogloss:0.944074+0.036554
## [386] train-mlogloss:0.004574+0.000035 test-mlogloss:0.943985+0.036571
## [387] train-mlogloss:0.004565+0.000033 test-mlogloss:0.943889+0.036648
## [388] train-mlogloss:0.004556+0.000034 test-mlogloss:0.944373+0.036632
## [389] train-mlogloss:0.004548+0.000033 test-mlogloss:0.944880+0.036568
## [390] train-mlogloss:0.004538+0.000033 test-mlogloss:0.945488+0.036444
## [391] train-mlogloss:0.004530+0.000033 test-mlogloss:0.945855+0.036526
## [392] train-mlogloss:0.004521+0.000034 test-mlogloss:0.946199+0.036393
## [393] train-mlogloss:0.004512+0.000034 test-mlogloss:0.946500+0.036261
## [394] train-mlogloss:0.004504+0.000035 test-mlogloss:0.946864+0.036079
## [395] train-mlogloss:0.004496+0.000035 test-mlogloss:0.947389+0.036351
## [396] train-mlogloss:0.004488+0.000034 test-mlogloss:0.947697+0.036699
## [397] train-mlogloss:0.004480+0.000034 test-mlogloss:0.948090+0.036619
## [398] train-mlogloss:0.004470+0.000034 test-mlogloss:0.948286+0.036753
## [399] train-mlogloss:0.004462+0.000034 test-mlogloss:0.948248+0.036943
## [400] train-mlogloss:0.004454+0.000035 test-mlogloss:0.948672+0.036979
## [401] train-mlogloss:0.004446+0.000034 test-mlogloss:0.948713+0.037114
## [402] train-mlogloss:0.004438+0.000034 test-mlogloss:0.948807+0.036839
## [403] train-mlogloss:0.004430+0.000034 test-mlogloss:0.949382+0.036747
## [404] train-mlogloss:0.004422+0.000034 test-mlogloss:0.949757+0.036601
## [405] train-mlogloss:0.004413+0.000034 test-mlogloss:0.949980+0.036557
## [406] train-mlogloss:0.004404+0.000036 test-mlogloss:0.950087+0.036167
## [407] train-mlogloss:0.004397+0.000035 test-mlogloss:0.950314+0.036255
## [408] train-mlogloss:0.004390+0.000035 test-mlogloss:0.950452+0.036244
## [409] train-mlogloss:0.004382+0.000034 test-mlogloss:0.950763+0.036152
## [410] train-mlogloss:0.004374+0.000034 test-mlogloss:0.950996+0.036176
## [411] train-mlogloss:0.004366+0.000035 test-mlogloss:0.951315+0.036665
## [412] train-mlogloss:0.004358+0.000035 test-mlogloss:0.951377+0.036367
## [413] train-mlogloss:0.004351+0.000036 test-mlogloss:0.952079+0.036169
## [414] train-mlogloss:0.004343+0.000036 test-mlogloss:0.952398+0.036446
## [415] train-mlogloss:0.004336+0.000037 test-mlogloss:0.952732+0.036487
## [416] train-mlogloss:0.004328+0.000037 test-mlogloss:0.953402+0.036494
## [417] train-mlogloss:0.004321+0.000037 test-mlogloss:0.953672+0.036622
## [418] train-mlogloss:0.004314+0.000037 test-mlogloss:0.953857+0.036533
## [419] train-mlogloss:0.004307+0.000037 test-mlogloss:0.954052+0.036379
## [420] train-mlogloss:0.004299+0.000036 test-mlogloss:0.954133+0.036511
## [421] train-mlogloss:0.004292+0.000036 test-mlogloss:0.954764+0.037053
## [422] train-mlogloss:0.004284+0.000037 test-mlogloss:0.954864+0.036984
## [423] train-mlogloss:0.004277+0.000037 test-mlogloss:0.955066+0.037282
## [424] train-mlogloss:0.004269+0.000038 test-mlogloss:0.955410+0.037295
## [425] train-mlogloss:0.004262+0.000038 test-mlogloss:0.955623+0.037546
## [426] train-mlogloss:0.004255+0.000037 test-mlogloss:0.955798+0.037523
## [427] train-mlogloss:0.004248+0.000037 test-mlogloss:0.955932+0.037587
## [428] train-mlogloss:0.004241+0.000037 test-mlogloss:0.956469+0.037902
## [429] train-mlogloss:0.004234+0.000036 test-mlogloss:0.956808+0.037866
## [430] train-mlogloss:0.004226+0.000036 test-mlogloss:0.957338+0.037797
## [431] train-mlogloss:0.004219+0.000036 test-mlogloss:0.957677+0.037642
## [432] train-mlogloss:0.004212+0.000036 test-mlogloss:0.958042+0.038211
## [433] train-mlogloss:0.004204+0.000035 test-mlogloss:0.958348+0.038295
## [434] train-mlogloss:0.004197+0.000035 test-mlogloss:0.958354+0.038252
## [435] train-mlogloss:0.004190+0.000035 test-mlogloss:0.958770+0.038409
## [436] train-mlogloss:0.004183+0.000035 test-mlogloss:0.958924+0.038214
## [437] train-mlogloss:0.004176+0.000035 test-mlogloss:0.959253+0.038274
## [438] train-mlogloss:0.004169+0.000035 test-mlogloss:0.959695+0.038323
## [439] train-mlogloss:0.004163+0.000035 test-mlogloss:0.959988+0.038261
## [440] train-mlogloss:0.004157+0.000035 test-mlogloss:0.960022+0.038101
## [441] train-mlogloss:0.004150+0.000035 test-mlogloss:0.959960+0.038260
## [442] train-mlogloss:0.004142+0.000035 test-mlogloss:0.960225+0.038443
## [443] train-mlogloss:0.004136+0.000035 test-mlogloss:0.960880+0.038346
## [444] train-mlogloss:0.004129+0.000035 test-mlogloss:0.961183+0.038354
## [445] train-mlogloss:0.004122+0.000035 test-mlogloss:0.961420+0.038165
## [446] train-mlogloss:0.004116+0.000035 test-mlogloss:0.961918+0.038064
## [447] train-mlogloss:0.004109+0.000035 test-mlogloss:0.962159+0.037790
## [448] train-mlogloss:0.004103+0.000036 test-mlogloss:0.962431+0.037857
## [449] train-mlogloss:0.004097+0.000036 test-mlogloss:0.962582+0.037939
## [450] train-mlogloss:0.004091+0.000034 test-mlogloss:0.963177+0.038006
## [451] train-mlogloss:0.004084+0.000035 test-mlogloss:0.963461+0.037947
## [452] train-mlogloss:0.004078+0.000035 test-mlogloss:0.963470+0.038151
## [453] train-mlogloss:0.004072+0.000035 test-mlogloss:0.963523+0.038144
## [454] train-mlogloss:0.004066+0.000034 test-mlogloss:0.963501+0.038153
## [455] train-mlogloss:0.004060+0.000034 test-mlogloss:0.964122+0.038594
## [456] train-mlogloss:0.004053+0.000033 test-mlogloss:0.964365+0.039039
## [457] train-mlogloss:0.004047+0.000033 test-mlogloss:0.964593+0.038942
## [458] train-mlogloss:0.004041+0.000033 test-mlogloss:0.964684+0.039005
## [459] train-mlogloss:0.004035+0.000033 test-mlogloss:0.964842+0.039014
## [460] train-mlogloss:0.004028+0.000033 test-mlogloss:0.964895+0.039053
## [461] train-mlogloss:0.004022+0.000034 test-mlogloss:0.965153+0.039021
## [462] train-mlogloss:0.004016+0.000033 test-mlogloss:0.965438+0.038789
## [463] train-mlogloss:0.004010+0.000033 test-mlogloss:0.965924+0.038796
## [464] train-mlogloss:0.004003+0.000033 test-mlogloss:0.966164+0.038695
## [465] train-mlogloss:0.003997+0.000032 test-mlogloss:0.966304+0.038991
## [466] train-mlogloss:0.003991+0.000032 test-mlogloss:0.966892+0.039229
## [467] train-mlogloss:0.003984+0.000032 test-mlogloss:0.967171+0.039050
## [468] train-mlogloss:0.003978+0.000033 test-mlogloss:0.967288+0.039074
## [469] train-mlogloss:0.003972+0.000032 test-mlogloss:0.967649+0.039063
## [470] train-mlogloss:0.003966+0.000032 test-mlogloss:0.968044+0.038967
## [471] train-mlogloss:0.003960+0.000032 test-mlogloss:0.968431+0.038811
## [472] train-mlogloss:0.003955+0.000032 test-mlogloss:0.968373+0.038977
## [473] train-mlogloss:0.003949+0.000032 test-mlogloss:0.968683+0.039072
## [474] train-mlogloss:0.003943+0.000032 test-mlogloss:0.968821+0.039124
## [475] train-mlogloss:0.003937+0.000033 test-mlogloss:0.968579+0.038741
## [476] train-mlogloss:0.003931+0.000032 test-mlogloss:0.968719+0.038885
## [477] train-mlogloss:0.003924+0.000032 test-mlogloss:0.969206+0.039116
## [478] train-mlogloss:0.003918+0.000032 test-mlogloss:0.969681+0.039315
## [479] train-mlogloss:0.003912+0.000031 test-mlogloss:0.969874+0.039317
## [480] train-mlogloss:0.003907+0.000031 test-mlogloss:0.969900+0.039394
## [481] train-mlogloss:0.003901+0.000031 test-mlogloss:0.970264+0.039366
## [482] train-mlogloss:0.003895+0.000031 test-mlogloss:0.970604+0.039243
## [483] train-mlogloss:0.003890+0.000031 test-mlogloss:0.970825+0.038888
## [484] train-mlogloss:0.003883+0.000031 test-mlogloss:0.970702+0.038656
## [485] train-mlogloss:0.003878+0.000031 test-mlogloss:0.970952+0.038452
## [486] train-mlogloss:0.003873+0.000030 test-mlogloss:0.971096+0.038410
## [487] train-mlogloss:0.003867+0.000030 test-mlogloss:0.971502+0.038625
## [488] train-mlogloss:0.003861+0.000031 test-mlogloss:0.971660+0.038593
## [489] train-mlogloss:0.003856+0.000031 test-mlogloss:0.971876+0.038370
## [490] train-mlogloss:0.003850+0.000031 test-mlogloss:0.972001+0.038460
## [491] train-mlogloss:0.003845+0.000031 test-mlogloss:0.972256+0.038277
## [492] train-mlogloss:0.003840+0.000031 test-mlogloss:0.972655+0.038375
## [493] train-mlogloss:0.003835+0.000031 test-mlogloss:0.972761+0.038544
## [494] train-mlogloss:0.003829+0.000031 test-mlogloss:0.972947+0.038688
## [495] train-mlogloss:0.003823+0.000031 test-mlogloss:0.973090+0.038737
## [496] train-mlogloss:0.003818+0.000032 test-mlogloss:0.973442+0.038761
## [497] train-mlogloss:0.003813+0.000032 test-mlogloss:0.973676+0.038749
## [498] train-mlogloss:0.003808+0.000031 test-mlogloss:0.973880+0.038453
## [499] train-mlogloss:0.003803+0.000030 test-mlogloss:0.974278+0.038722
## [500] train-mlogloss:0.003798+0.000031 test-mlogloss:0.974429+0.038798
## [1] train-mlogloss:0.539326+0.003356 test-mlogloss:0.555801+0.013271
## [2] train-mlogloss:0.509848+0.005347 test-mlogloss:0.543458+0.016007
## [3] train-mlogloss:0.496084+0.004717 test-mlogloss:0.542346+0.019374
## [4] train-mlogloss:0.487652+0.004516 test-mlogloss:0.544537+0.018398
## [5] train-mlogloss:0.479317+0.004286 test-mlogloss:0.548228+0.020489
## [6] train-mlogloss:0.470639+0.002345 test-mlogloss:0.553538+0.018913
## [7] train-mlogloss:0.463125+0.004727 test-mlogloss:0.555865+0.019416
## [8] train-mlogloss:0.456413+0.004607 test-mlogloss:0.557190+0.018235
## [9] train-mlogloss:0.448285+0.004938 test-mlogloss:0.561687+0.017359
## [10] train-mlogloss:0.441168+0.004479 test-mlogloss:0.565719+0.017274
## [11] train-mlogloss:0.434864+0.005451 test-mlogloss:0.568631+0.017486
## [12] train-mlogloss:0.427949+0.004858 test-mlogloss:0.571780+0.017192
## [13] train-mlogloss:0.419630+0.004925 test-mlogloss:0.575425+0.018660
## [14] train-mlogloss:0.412784+0.006055 test-mlogloss:0.578464+0.020915
## [15] train-mlogloss:0.405249+0.006251 test-mlogloss:0.580169+0.020661
## [16] train-mlogloss:0.398757+0.005514 test-mlogloss:0.583363+0.021353
## [17] train-mlogloss:0.390672+0.006156 test-mlogloss:0.585553+0.021576
## [18] train-mlogloss:0.385033+0.006313 test-mlogloss:0.589814+0.023782
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## [20] train-mlogloss:0.371416+0.006473 test-mlogloss:0.599604+0.024580
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## [22] train-mlogloss:0.360137+0.006201 test-mlogloss:0.609053+0.024717
## [23] train-mlogloss:0.354717+0.006030 test-mlogloss:0.610345+0.026759
## [24] train-mlogloss:0.348562+0.006285 test-mlogloss:0.613990+0.025117
## [25] train-mlogloss:0.342665+0.005977 test-mlogloss:0.616533+0.026132
## [26] train-mlogloss:0.337598+0.005471 test-mlogloss:0.616222+0.026192
## [27] train-mlogloss:0.331861+0.005642 test-mlogloss:0.620549+0.027624
## [28] train-mlogloss:0.326561+0.005547 test-mlogloss:0.625230+0.030471
## [29] train-mlogloss:0.321198+0.005896 test-mlogloss:0.627387+0.030470
## [30] train-mlogloss:0.315249+0.005515 test-mlogloss:0.632132+0.031316
## [31] train-mlogloss:0.310127+0.005718 test-mlogloss:0.636859+0.031126
## [32] train-mlogloss:0.304922+0.005242 test-mlogloss:0.640219+0.031205
## [33] train-mlogloss:0.300354+0.005629 test-mlogloss:0.641485+0.031977
## [34] train-mlogloss:0.295225+0.005783 test-mlogloss:0.645228+0.033685
## [35] train-mlogloss:0.290234+0.005556 test-mlogloss:0.646946+0.030226
## [36] train-mlogloss:0.285078+0.005551 test-mlogloss:0.649079+0.028551
## [37] train-mlogloss:0.279916+0.005339 test-mlogloss:0.652572+0.027586
## [38] train-mlogloss:0.275611+0.005076 test-mlogloss:0.655988+0.028566
## [39] train-mlogloss:0.271092+0.004751 test-mlogloss:0.658458+0.026998
## [40] train-mlogloss:0.266749+0.004671 test-mlogloss:0.663083+0.028228
## [41] train-mlogloss:0.262212+0.004237 test-mlogloss:0.665012+0.027306
## [42] train-mlogloss:0.257498+0.004271 test-mlogloss:0.669072+0.024983
## [43] train-mlogloss:0.253067+0.004563 test-mlogloss:0.670489+0.023753
## [44] train-mlogloss:0.248724+0.004981 test-mlogloss:0.672595+0.025852
## [45] train-mlogloss:0.244661+0.004394 test-mlogloss:0.674409+0.026991
## [46] train-mlogloss:0.240751+0.004110 test-mlogloss:0.677333+0.025466
## [47] train-mlogloss:0.236404+0.004135 test-mlogloss:0.682092+0.027906
## [48] train-mlogloss:0.232529+0.004147 test-mlogloss:0.684522+0.027399
## [49] train-mlogloss:0.229052+0.004425 test-mlogloss:0.686819+0.027946
## [50] train-mlogloss:0.225485+0.004631 test-mlogloss:0.689629+0.027949
## [51] train-mlogloss:0.221778+0.004278 test-mlogloss:0.692711+0.028557
## [52] train-mlogloss:0.218276+0.004358 test-mlogloss:0.695719+0.027808
## [53] train-mlogloss:0.214624+0.004729 test-mlogloss:0.699528+0.027791
## [54] train-mlogloss:0.210839+0.005211 test-mlogloss:0.703090+0.027761
## [55] train-mlogloss:0.207410+0.005455 test-mlogloss:0.705655+0.030013
## [56] train-mlogloss:0.204254+0.005141 test-mlogloss:0.708253+0.029338
## [57] train-mlogloss:0.200888+0.005038 test-mlogloss:0.710316+0.030828
## [58] train-mlogloss:0.197391+0.005222 test-mlogloss:0.714994+0.030568
## [59] train-mlogloss:0.194113+0.005295 test-mlogloss:0.717838+0.030108
## [60] train-mlogloss:0.190895+0.005750 test-mlogloss:0.718658+0.030107
## [61] train-mlogloss:0.187714+0.005980 test-mlogloss:0.722067+0.031372
## [62] train-mlogloss:0.184777+0.006022 test-mlogloss:0.724441+0.032689
## [63] train-mlogloss:0.181796+0.005599 test-mlogloss:0.726963+0.031569
## [64] train-mlogloss:0.178403+0.005400 test-mlogloss:0.729638+0.031409
## [65] train-mlogloss:0.175235+0.005270 test-mlogloss:0.733591+0.030418
## [66] train-mlogloss:0.172277+0.005103 test-mlogloss:0.737867+0.031216
## [67] train-mlogloss:0.169282+0.005115 test-mlogloss:0.738641+0.032671
## [68] train-mlogloss:0.166723+0.004907 test-mlogloss:0.741003+0.033310
## [69] train-mlogloss:0.164286+0.004585 test-mlogloss:0.742434+0.033187
## [70] train-mlogloss:0.161739+0.004943 test-mlogloss:0.745558+0.033971
## [71] train-mlogloss:0.159208+0.004711 test-mlogloss:0.749524+0.035536
## [72] train-mlogloss:0.156774+0.004645 test-mlogloss:0.751272+0.035917
## [73] train-mlogloss:0.154045+0.004350 test-mlogloss:0.754208+0.034921
## [74] train-mlogloss:0.151648+0.004415 test-mlogloss:0.755552+0.036722
## [75] train-mlogloss:0.149406+0.004353 test-mlogloss:0.758763+0.035647
## [76] train-mlogloss:0.146845+0.004141 test-mlogloss:0.760968+0.037415
## [77] train-mlogloss:0.144559+0.004476 test-mlogloss:0.763216+0.037216
## [78] train-mlogloss:0.142551+0.004337 test-mlogloss:0.765016+0.038339
## [79] train-mlogloss:0.140319+0.004422 test-mlogloss:0.766159+0.038736
## [80] train-mlogloss:0.137994+0.004408 test-mlogloss:0.767976+0.037304
## [81] train-mlogloss:0.136033+0.004560 test-mlogloss:0.771374+0.037642
## [82] train-mlogloss:0.133709+0.004386 test-mlogloss:0.772842+0.036604
## [83] train-mlogloss:0.131907+0.004565 test-mlogloss:0.775116+0.036083
## [84] train-mlogloss:0.129838+0.004482 test-mlogloss:0.776692+0.037030
## [85] train-mlogloss:0.127831+0.004282 test-mlogloss:0.778026+0.037373
## [86] train-mlogloss:0.125660+0.004107 test-mlogloss:0.781280+0.037438
## [87] train-mlogloss:0.123788+0.004352 test-mlogloss:0.782850+0.036865
## [88] train-mlogloss:0.121491+0.004313 test-mlogloss:0.785763+0.036412
## [89] train-mlogloss:0.119400+0.004350 test-mlogloss:0.788536+0.037814
## [90] train-mlogloss:0.117755+0.004285 test-mlogloss:0.790043+0.038058
## [91] train-mlogloss:0.116175+0.004205 test-mlogloss:0.792120+0.037039
## [92] train-mlogloss:0.114462+0.004139 test-mlogloss:0.793909+0.037741
## [93] train-mlogloss:0.112597+0.004165 test-mlogloss:0.796085+0.037524
## [94] train-mlogloss:0.111028+0.004025 test-mlogloss:0.798480+0.037531
## [95] train-mlogloss:0.109476+0.004021 test-mlogloss:0.801463+0.037233
## [96] train-mlogloss:0.107768+0.003873 test-mlogloss:0.803817+0.038273
## [97] train-mlogloss:0.106050+0.003727 test-mlogloss:0.806156+0.038092
## [98] train-mlogloss:0.104352+0.003609 test-mlogloss:0.807931+0.037087
## [99] train-mlogloss:0.102731+0.003456 test-mlogloss:0.808886+0.038253
## [100] train-mlogloss:0.101450+0.003284 test-mlogloss:0.810433+0.038019
## [101] train-mlogloss:0.100052+0.003233 test-mlogloss:0.811672+0.036446
## [102] train-mlogloss:0.098607+0.003138 test-mlogloss:0.813818+0.037265
## [103] train-mlogloss:0.097060+0.002995 test-mlogloss:0.816156+0.038460
## [104] train-mlogloss:0.095709+0.003089 test-mlogloss:0.816672+0.039747
## [105] train-mlogloss:0.094291+0.003062 test-mlogloss:0.818859+0.040711
## [106] train-mlogloss:0.092690+0.003097 test-mlogloss:0.820296+0.040812
## [107] train-mlogloss:0.091308+0.003210 test-mlogloss:0.823734+0.042411
## [108] train-mlogloss:0.090003+0.003077 test-mlogloss:0.824244+0.041829
## [109] train-mlogloss:0.088586+0.002973 test-mlogloss:0.826305+0.040581
## [110] train-mlogloss:0.087258+0.003212 test-mlogloss:0.830154+0.038778
## [111] train-mlogloss:0.085942+0.003362 test-mlogloss:0.832640+0.039566
## [112] train-mlogloss:0.084593+0.003471 test-mlogloss:0.834613+0.038792
## [113] train-mlogloss:0.083110+0.003188 test-mlogloss:0.835659+0.039764
## [114] train-mlogloss:0.081902+0.003106 test-mlogloss:0.836338+0.038751
## [115] train-mlogloss:0.080630+0.003004 test-mlogloss:0.837313+0.040443
## [116] train-mlogloss:0.079463+0.002990 test-mlogloss:0.838486+0.040006
## [117] train-mlogloss:0.078332+0.003111 test-mlogloss:0.841519+0.039220
## [118] train-mlogloss:0.077265+0.002903 test-mlogloss:0.844630+0.039020
## [119] train-mlogloss:0.076103+0.002898 test-mlogloss:0.847822+0.039817
## [120] train-mlogloss:0.074957+0.002823 test-mlogloss:0.850889+0.040052
## [121] train-mlogloss:0.073752+0.002642 test-mlogloss:0.851288+0.039786
## [122] train-mlogloss:0.072841+0.002455 test-mlogloss:0.852638+0.041552
## [123] train-mlogloss:0.071714+0.002404 test-mlogloss:0.853899+0.041965
## [124] train-mlogloss:0.070632+0.002424 test-mlogloss:0.856073+0.040776
## [125] train-mlogloss:0.069618+0.002342 test-mlogloss:0.857528+0.040215
## [126] train-mlogloss:0.068728+0.002438 test-mlogloss:0.860339+0.040968
## [127] train-mlogloss:0.067867+0.002444 test-mlogloss:0.861498+0.043440
## [128] train-mlogloss:0.066944+0.002368 test-mlogloss:0.864054+0.042795
## [129] train-mlogloss:0.066012+0.002397 test-mlogloss:0.867644+0.043586
## [130] train-mlogloss:0.065076+0.002266 test-mlogloss:0.868910+0.043600
## [131] train-mlogloss:0.064151+0.002179 test-mlogloss:0.870905+0.043361
## [132] train-mlogloss:0.063364+0.002061 test-mlogloss:0.873894+0.043544
## [133] train-mlogloss:0.062607+0.001735 test-mlogloss:0.875098+0.043196
## [134] train-mlogloss:0.061906+0.001671 test-mlogloss:0.876501+0.043129
## [135] train-mlogloss:0.061087+0.001626 test-mlogloss:0.877848+0.044061
## [136] train-mlogloss:0.060272+0.001727 test-mlogloss:0.879900+0.043801
## [137] train-mlogloss:0.059561+0.001732 test-mlogloss:0.881870+0.044015
## [138] train-mlogloss:0.058753+0.001658 test-mlogloss:0.882838+0.044119
## [139] train-mlogloss:0.057918+0.001645 test-mlogloss:0.884731+0.043624
## [140] train-mlogloss:0.057248+0.001774 test-mlogloss:0.885278+0.043220
## [141] train-mlogloss:0.056538+0.001775 test-mlogloss:0.886811+0.042955
## [142] train-mlogloss:0.055631+0.001769 test-mlogloss:0.888723+0.041774
## [143] train-mlogloss:0.054895+0.001797 test-mlogloss:0.890245+0.041665
## [144] train-mlogloss:0.054132+0.001778 test-mlogloss:0.892201+0.041934
## [145] train-mlogloss:0.053327+0.001747 test-mlogloss:0.893865+0.042308
## [146] train-mlogloss:0.052538+0.001737 test-mlogloss:0.895678+0.042677
## [147] train-mlogloss:0.051802+0.001703 test-mlogloss:0.896555+0.043009
## [148] train-mlogloss:0.051064+0.001642 test-mlogloss:0.898495+0.043513
## [149] train-mlogloss:0.050518+0.001649 test-mlogloss:0.899690+0.042592
## [150] train-mlogloss:0.049859+0.001603 test-mlogloss:0.901404+0.043297
## [151] train-mlogloss:0.049241+0.001612 test-mlogloss:0.903519+0.043671
## [152] train-mlogloss:0.048574+0.001567 test-mlogloss:0.907450+0.042589
## [153] train-mlogloss:0.048008+0.001541 test-mlogloss:0.908837+0.044289
## [154] train-mlogloss:0.047432+0.001450 test-mlogloss:0.911615+0.043642
## [155] train-mlogloss:0.046820+0.001358 test-mlogloss:0.912948+0.044528
## [156] train-mlogloss:0.046188+0.001323 test-mlogloss:0.915317+0.042444
## [157] train-mlogloss:0.045709+0.001252 test-mlogloss:0.917360+0.042144
## [158] train-mlogloss:0.045106+0.001201 test-mlogloss:0.920539+0.042036
## [159] train-mlogloss:0.044527+0.001200 test-mlogloss:0.921211+0.042942
## [160] train-mlogloss:0.043985+0.001124 test-mlogloss:0.923547+0.041021
## [161] train-mlogloss:0.043440+0.001109 test-mlogloss:0.924224+0.040020
## [162] train-mlogloss:0.042850+0.001097 test-mlogloss:0.926544+0.039894
## [163] train-mlogloss:0.042364+0.001139 test-mlogloss:0.929860+0.040377
## [164] train-mlogloss:0.041899+0.001110 test-mlogloss:0.932343+0.039295
## [165] train-mlogloss:0.041431+0.001097 test-mlogloss:0.933890+0.040105
## [166] train-mlogloss:0.040851+0.001025 test-mlogloss:0.935857+0.040831
## [167] train-mlogloss:0.040404+0.001075 test-mlogloss:0.936510+0.038924
## [168] train-mlogloss:0.039969+0.001082 test-mlogloss:0.938493+0.040024
## [169] train-mlogloss:0.039556+0.001093 test-mlogloss:0.938811+0.038063
## [170] train-mlogloss:0.039044+0.000984 test-mlogloss:0.940582+0.039339
## [171] train-mlogloss:0.038628+0.000926 test-mlogloss:0.941090+0.038849
## [172] train-mlogloss:0.038119+0.000855 test-mlogloss:0.942810+0.038253
## [173] train-mlogloss:0.037731+0.000814 test-mlogloss:0.945115+0.038156
## [174] train-mlogloss:0.037305+0.000819 test-mlogloss:0.945633+0.038117
## [175] train-mlogloss:0.036843+0.000758 test-mlogloss:0.946053+0.039103
## [176] train-mlogloss:0.036432+0.000734 test-mlogloss:0.948105+0.038066
## [177] train-mlogloss:0.035975+0.000728 test-mlogloss:0.949798+0.039185
## [178] train-mlogloss:0.035564+0.000743 test-mlogloss:0.950799+0.039353
## [179] train-mlogloss:0.035190+0.000747 test-mlogloss:0.952184+0.040727
## [180] train-mlogloss:0.034801+0.000705 test-mlogloss:0.954605+0.040191
## [181] train-mlogloss:0.034372+0.000722 test-mlogloss:0.956841+0.041406
## [182] train-mlogloss:0.033929+0.000699 test-mlogloss:0.958172+0.043690
## [183] train-mlogloss:0.033560+0.000729 test-mlogloss:0.958698+0.042215
## [184] train-mlogloss:0.033168+0.000763 test-mlogloss:0.961011+0.040705
## [185] train-mlogloss:0.032784+0.000732 test-mlogloss:0.963043+0.041053
## [186] train-mlogloss:0.032423+0.000746 test-mlogloss:0.964953+0.040316
## [187] train-mlogloss:0.032065+0.000683 test-mlogloss:0.965213+0.040022
## [188] train-mlogloss:0.031699+0.000718 test-mlogloss:0.966764+0.040352
## [189] train-mlogloss:0.031346+0.000706 test-mlogloss:0.968688+0.040263
## [190] train-mlogloss:0.030975+0.000743 test-mlogloss:0.970795+0.041121
## [191] train-mlogloss:0.030684+0.000743 test-mlogloss:0.972156+0.041706
## [192] train-mlogloss:0.030340+0.000767 test-mlogloss:0.972158+0.042223
## [193] train-mlogloss:0.030047+0.000811 test-mlogloss:0.972998+0.042066
## [194] train-mlogloss:0.029731+0.000812 test-mlogloss:0.974866+0.042495
## [195] train-mlogloss:0.029366+0.000804 test-mlogloss:0.976066+0.042734
## [196] train-mlogloss:0.029061+0.000806 test-mlogloss:0.979320+0.043522
## [197] train-mlogloss:0.028762+0.000795 test-mlogloss:0.980252+0.043027
## [198] train-mlogloss:0.028412+0.000768 test-mlogloss:0.981641+0.044712
## [199] train-mlogloss:0.028119+0.000806 test-mlogloss:0.981536+0.044839
## [200] train-mlogloss:0.027834+0.000775 test-mlogloss:0.984380+0.044474
## [201] train-mlogloss:0.027589+0.000799 test-mlogloss:0.986224+0.043944
## [202] train-mlogloss:0.027296+0.000766 test-mlogloss:0.987359+0.043311
## [203] train-mlogloss:0.027029+0.000756 test-mlogloss:0.989291+0.042239
## [204] train-mlogloss:0.026735+0.000785 test-mlogloss:0.989643+0.040900
## [205] train-mlogloss:0.026497+0.000781 test-mlogloss:0.991677+0.041816
## [206] train-mlogloss:0.026199+0.000727 test-mlogloss:0.994068+0.042001
## [207] train-mlogloss:0.025968+0.000738 test-mlogloss:0.994966+0.042827
## [208] train-mlogloss:0.025698+0.000763 test-mlogloss:0.996555+0.044042
## [209] train-mlogloss:0.025466+0.000761 test-mlogloss:0.998433+0.045249
## [210] train-mlogloss:0.025205+0.000730 test-mlogloss:1.000644+0.045344
## [211] train-mlogloss:0.024920+0.000718 test-mlogloss:1.000111+0.045478
## [212] train-mlogloss:0.024693+0.000744 test-mlogloss:1.001633+0.045843
## [213] train-mlogloss:0.024487+0.000722 test-mlogloss:1.002853+0.045719
## [214] train-mlogloss:0.024255+0.000738 test-mlogloss:1.004370+0.046544
## [215] train-mlogloss:0.024002+0.000702 test-mlogloss:1.004350+0.046976
## [216] train-mlogloss:0.023819+0.000694 test-mlogloss:1.004822+0.046772
## [217] train-mlogloss:0.023583+0.000710 test-mlogloss:1.006003+0.046059
## [218] train-mlogloss:0.023372+0.000724 test-mlogloss:1.008299+0.046766
## [219] train-mlogloss:0.023141+0.000714 test-mlogloss:1.011274+0.046178
## [220] train-mlogloss:0.022925+0.000717 test-mlogloss:1.012109+0.046171
## [221] train-mlogloss:0.022712+0.000707 test-mlogloss:1.013072+0.046534
## [222] train-mlogloss:0.022499+0.000687 test-mlogloss:1.014950+0.046813
## [223] train-mlogloss:0.022295+0.000648 test-mlogloss:1.016686+0.046880
## [224] train-mlogloss:0.022096+0.000663 test-mlogloss:1.018314+0.047150
## [225] train-mlogloss:0.021892+0.000657 test-mlogloss:1.021070+0.046900
## [226] train-mlogloss:0.021700+0.000670 test-mlogloss:1.021423+0.047226
## [227] train-mlogloss:0.021474+0.000623 test-mlogloss:1.023354+0.046860
## [228] train-mlogloss:0.021282+0.000642 test-mlogloss:1.025200+0.047700
## [229] train-mlogloss:0.021095+0.000643 test-mlogloss:1.027124+0.047567
## [230] train-mlogloss:0.020910+0.000656 test-mlogloss:1.027212+0.047968
## [231] train-mlogloss:0.020704+0.000637 test-mlogloss:1.028834+0.048202
## [232] train-mlogloss:0.020526+0.000635 test-mlogloss:1.029309+0.046423
## [233] train-mlogloss:0.020335+0.000600 test-mlogloss:1.031456+0.046462
## [234] train-mlogloss:0.020165+0.000587 test-mlogloss:1.032796+0.046966
## [235] train-mlogloss:0.020004+0.000627 test-mlogloss:1.034098+0.047410
## [236] train-mlogloss:0.019816+0.000632 test-mlogloss:1.036505+0.047315
## [237] train-mlogloss:0.019656+0.000644 test-mlogloss:1.039003+0.048228
## [238] train-mlogloss:0.019499+0.000656 test-mlogloss:1.039925+0.048631
## [239] train-mlogloss:0.019356+0.000663 test-mlogloss:1.041806+0.048778
## [240] train-mlogloss:0.019182+0.000641 test-mlogloss:1.043023+0.050342
## [241] train-mlogloss:0.019030+0.000648 test-mlogloss:1.044152+0.051066
## [242] train-mlogloss:0.018876+0.000634 test-mlogloss:1.045983+0.052740
## [243] train-mlogloss:0.018717+0.000639 test-mlogloss:1.047014+0.053525
## [244] train-mlogloss:0.018581+0.000635 test-mlogloss:1.047493+0.053445
## [245] train-mlogloss:0.018429+0.000614 test-mlogloss:1.050046+0.053442
## [246] train-mlogloss:0.018254+0.000591 test-mlogloss:1.050288+0.054470
## [247] train-mlogloss:0.018086+0.000589 test-mlogloss:1.051693+0.053811
## [248] train-mlogloss:0.017930+0.000593 test-mlogloss:1.052022+0.053235
## [249] train-mlogloss:0.017806+0.000585 test-mlogloss:1.052968+0.052734
## [250] train-mlogloss:0.017668+0.000575 test-mlogloss:1.054443+0.052724
## [251] train-mlogloss:0.017515+0.000581 test-mlogloss:1.055836+0.053199
## [252] train-mlogloss:0.017371+0.000562 test-mlogloss:1.056292+0.053139
## [253] train-mlogloss:0.017240+0.000556 test-mlogloss:1.057258+0.052744
## [254] train-mlogloss:0.017093+0.000554 test-mlogloss:1.058660+0.052782
## [255] train-mlogloss:0.016930+0.000521 test-mlogloss:1.058983+0.051991
## [256] train-mlogloss:0.016781+0.000544 test-mlogloss:1.058903+0.050911
## [257] train-mlogloss:0.016647+0.000528 test-mlogloss:1.060333+0.051765
## [258] train-mlogloss:0.016500+0.000498 test-mlogloss:1.060400+0.051377
## [259] train-mlogloss:0.016351+0.000485 test-mlogloss:1.062213+0.051633
## [260] train-mlogloss:0.016199+0.000454 test-mlogloss:1.063822+0.052213
## [261] train-mlogloss:0.016064+0.000437 test-mlogloss:1.064218+0.053596
## [262] train-mlogloss:0.015910+0.000419 test-mlogloss:1.066200+0.053566
## [263] train-mlogloss:0.015800+0.000406 test-mlogloss:1.067113+0.053748
## [264] train-mlogloss:0.015681+0.000398 test-mlogloss:1.068522+0.053806
## [265] train-mlogloss:0.015547+0.000394 test-mlogloss:1.070277+0.053630
## [266] train-mlogloss:0.015431+0.000404 test-mlogloss:1.071644+0.053077
## [267] train-mlogloss:0.015328+0.000396 test-mlogloss:1.071788+0.052781
## [268] train-mlogloss:0.015234+0.000378 test-mlogloss:1.073747+0.053387
## [269] train-mlogloss:0.015097+0.000368 test-mlogloss:1.075125+0.052279
## [270] train-mlogloss:0.014979+0.000376 test-mlogloss:1.075828+0.052538
## [271] train-mlogloss:0.014874+0.000383 test-mlogloss:1.077998+0.054842
## [272] train-mlogloss:0.014747+0.000379 test-mlogloss:1.078863+0.055052
## [273] train-mlogloss:0.014630+0.000350 test-mlogloss:1.079854+0.054532
## [274] train-mlogloss:0.014501+0.000350 test-mlogloss:1.081425+0.055459
## [275] train-mlogloss:0.014413+0.000342 test-mlogloss:1.083093+0.056000
## [276] train-mlogloss:0.014312+0.000343 test-mlogloss:1.084662+0.055217
## [277] train-mlogloss:0.014202+0.000333 test-mlogloss:1.085100+0.055028
## [278] train-mlogloss:0.014090+0.000326 test-mlogloss:1.086059+0.055442
## [279] train-mlogloss:0.013969+0.000337 test-mlogloss:1.086134+0.055943
## [280] train-mlogloss:0.013858+0.000325 test-mlogloss:1.087461+0.057008
## [281] train-mlogloss:0.013786+0.000326 test-mlogloss:1.088210+0.058037
## [282] train-mlogloss:0.013680+0.000319 test-mlogloss:1.089638+0.058242
## [283] train-mlogloss:0.013582+0.000319 test-mlogloss:1.089786+0.057957
## [284] train-mlogloss:0.013491+0.000318 test-mlogloss:1.091488+0.057779
## [285] train-mlogloss:0.013393+0.000299 test-mlogloss:1.091857+0.057441
## [286] train-mlogloss:0.013304+0.000297 test-mlogloss:1.093848+0.057085
## [287] train-mlogloss:0.013194+0.000286 test-mlogloss:1.094577+0.057597
## [288] train-mlogloss:0.013113+0.000275 test-mlogloss:1.096082+0.058267
## [289] train-mlogloss:0.013024+0.000277 test-mlogloss:1.097325+0.057802
## [290] train-mlogloss:0.012928+0.000278 test-mlogloss:1.098033+0.057937
## [291] train-mlogloss:0.012855+0.000276 test-mlogloss:1.097979+0.058430
## [292] train-mlogloss:0.012777+0.000272 test-mlogloss:1.098900+0.057359
## [293] train-mlogloss:0.012699+0.000275 test-mlogloss:1.100088+0.057889
## [294] train-mlogloss:0.012610+0.000280 test-mlogloss:1.102032+0.058764
## [295] train-mlogloss:0.012531+0.000288 test-mlogloss:1.102413+0.057481
## [296] train-mlogloss:0.012448+0.000290 test-mlogloss:1.103602+0.057560
## [297] train-mlogloss:0.012367+0.000286 test-mlogloss:1.104729+0.056868
## [298] train-mlogloss:0.012284+0.000285 test-mlogloss:1.105419+0.056496
## [299] train-mlogloss:0.012207+0.000290 test-mlogloss:1.106213+0.057040
## [300] train-mlogloss:0.012122+0.000289 test-mlogloss:1.106717+0.057676
## [301] train-mlogloss:0.012031+0.000293 test-mlogloss:1.107997+0.057173
## [302] train-mlogloss:0.011950+0.000281 test-mlogloss:1.109451+0.057299
## [303] train-mlogloss:0.011872+0.000285 test-mlogloss:1.109725+0.057531
## [304] train-mlogloss:0.011786+0.000280 test-mlogloss:1.110938+0.057148
## [305] train-mlogloss:0.011726+0.000276 test-mlogloss:1.111998+0.056835
## [306] train-mlogloss:0.011644+0.000284 test-mlogloss:1.112994+0.058351
## [307] train-mlogloss:0.011579+0.000290 test-mlogloss:1.114696+0.057663
## [308] train-mlogloss:0.011520+0.000297 test-mlogloss:1.115765+0.056596
## [309] train-mlogloss:0.011444+0.000283 test-mlogloss:1.115630+0.055975
## [310] train-mlogloss:0.011370+0.000278 test-mlogloss:1.116452+0.055210
## [311] train-mlogloss:0.011299+0.000263 test-mlogloss:1.116791+0.055260
## [312] train-mlogloss:0.011231+0.000255 test-mlogloss:1.117483+0.054517
## [313] train-mlogloss:0.011151+0.000247 test-mlogloss:1.118327+0.055460
## [314] train-mlogloss:0.011089+0.000252 test-mlogloss:1.120007+0.055843
## [315] train-mlogloss:0.011012+0.000259 test-mlogloss:1.120390+0.054736
## [316] train-mlogloss:0.010941+0.000257 test-mlogloss:1.121373+0.055067
## [317] train-mlogloss:0.010861+0.000255 test-mlogloss:1.122208+0.054896
## [318] train-mlogloss:0.010797+0.000269 test-mlogloss:1.122244+0.054940
## [319] train-mlogloss:0.010736+0.000263 test-mlogloss:1.123640+0.055352
## [320] train-mlogloss:0.010658+0.000265 test-mlogloss:1.124490+0.054833
## [321] train-mlogloss:0.010597+0.000262 test-mlogloss:1.125543+0.054354
## [322] train-mlogloss:0.010525+0.000274 test-mlogloss:1.125329+0.053284
## [323] train-mlogloss:0.010465+0.000265 test-mlogloss:1.125895+0.053877
## [324] train-mlogloss:0.010412+0.000262 test-mlogloss:1.126736+0.053745
## [325] train-mlogloss:0.010353+0.000262 test-mlogloss:1.128117+0.054043
## [326] train-mlogloss:0.010288+0.000260 test-mlogloss:1.130073+0.054730
## [327] train-mlogloss:0.010218+0.000262 test-mlogloss:1.130940+0.054769
## [328] train-mlogloss:0.010161+0.000259 test-mlogloss:1.132156+0.055768
## [329] train-mlogloss:0.010098+0.000257 test-mlogloss:1.132832+0.055527
## [330] train-mlogloss:0.010034+0.000254 test-mlogloss:1.133645+0.055115
## [331] train-mlogloss:0.009979+0.000249 test-mlogloss:1.135106+0.056089
## [332] train-mlogloss:0.009927+0.000250 test-mlogloss:1.135621+0.056158
## [333] train-mlogloss:0.009873+0.000233 test-mlogloss:1.137733+0.056366
## [334] train-mlogloss:0.009821+0.000231 test-mlogloss:1.139064+0.055633
## [335] train-mlogloss:0.009752+0.000235 test-mlogloss:1.139272+0.055079
## [336] train-mlogloss:0.009698+0.000226 test-mlogloss:1.139573+0.055477
## [337] train-mlogloss:0.009632+0.000233 test-mlogloss:1.140078+0.054882
## [338] train-mlogloss:0.009589+0.000235 test-mlogloss:1.140782+0.054361
## [339] train-mlogloss:0.009531+0.000241 test-mlogloss:1.142664+0.053954
## [340] train-mlogloss:0.009483+0.000224 test-mlogloss:1.143257+0.054061
## [341] train-mlogloss:0.009433+0.000232 test-mlogloss:1.144172+0.053785
## [342] train-mlogloss:0.009376+0.000236 test-mlogloss:1.144616+0.054115
## [343] train-mlogloss:0.009314+0.000246 test-mlogloss:1.145811+0.053732
## [344] train-mlogloss:0.009271+0.000247 test-mlogloss:1.146650+0.054722
## [345] train-mlogloss:0.009223+0.000242 test-mlogloss:1.147356+0.054455
## [346] train-mlogloss:0.009175+0.000235 test-mlogloss:1.148103+0.054030
## [347] train-mlogloss:0.009127+0.000234 test-mlogloss:1.147907+0.053538
## [348] train-mlogloss:0.009081+0.000233 test-mlogloss:1.148607+0.053635
## [349] train-mlogloss:0.009041+0.000230 test-mlogloss:1.149844+0.053551
## [350] train-mlogloss:0.008999+0.000225 test-mlogloss:1.149796+0.053219
## [351] train-mlogloss:0.008956+0.000226 test-mlogloss:1.151502+0.053940
## [352] train-mlogloss:0.008904+0.000224 test-mlogloss:1.151686+0.054211
## [353] train-mlogloss:0.008858+0.000219 test-mlogloss:1.152823+0.054815
## [354] train-mlogloss:0.008806+0.000204 test-mlogloss:1.153969+0.055250
## [355] train-mlogloss:0.008767+0.000201 test-mlogloss:1.154316+0.055251
## [356] train-mlogloss:0.008727+0.000204 test-mlogloss:1.155515+0.054661
## [357] train-mlogloss:0.008681+0.000197 test-mlogloss:1.156139+0.053335
## [358] train-mlogloss:0.008644+0.000192 test-mlogloss:1.156911+0.053421
## [359] train-mlogloss:0.008592+0.000194 test-mlogloss:1.157669+0.053637
## [360] train-mlogloss:0.008547+0.000199 test-mlogloss:1.158654+0.052685
## [361] train-mlogloss:0.008520+0.000200 test-mlogloss:1.158752+0.052218
## [362] train-mlogloss:0.008482+0.000199 test-mlogloss:1.158456+0.052666
## [363] train-mlogloss:0.008439+0.000200 test-mlogloss:1.159240+0.052984
## [364] train-mlogloss:0.008399+0.000203 test-mlogloss:1.159519+0.053457
## [365] train-mlogloss:0.008355+0.000201 test-mlogloss:1.159966+0.053177
## [366] train-mlogloss:0.008316+0.000205 test-mlogloss:1.160284+0.053767
## [367] train-mlogloss:0.008275+0.000198 test-mlogloss:1.161195+0.053212
## [368] train-mlogloss:0.008233+0.000202 test-mlogloss:1.162045+0.052679
## [369] train-mlogloss:0.008189+0.000202 test-mlogloss:1.163569+0.053110
## [370] train-mlogloss:0.008155+0.000196 test-mlogloss:1.164380+0.052330
## [371] train-mlogloss:0.008116+0.000193 test-mlogloss:1.165395+0.052435
## [372] train-mlogloss:0.008071+0.000195 test-mlogloss:1.166560+0.052983
## [373] train-mlogloss:0.008040+0.000196 test-mlogloss:1.166275+0.053541
## [374] train-mlogloss:0.008004+0.000198 test-mlogloss:1.167846+0.052822
## [375] train-mlogloss:0.007963+0.000201 test-mlogloss:1.168966+0.052585
## [376] train-mlogloss:0.007927+0.000200 test-mlogloss:1.169589+0.051665
## [377] train-mlogloss:0.007884+0.000202 test-mlogloss:1.170520+0.051625
## [378] train-mlogloss:0.007837+0.000195 test-mlogloss:1.170591+0.051731
## [379] train-mlogloss:0.007788+0.000197 test-mlogloss:1.172280+0.051692
## [380] train-mlogloss:0.007750+0.000201 test-mlogloss:1.173469+0.051499
## [381] train-mlogloss:0.007710+0.000204 test-mlogloss:1.174332+0.051478
## [382] train-mlogloss:0.007673+0.000199 test-mlogloss:1.175321+0.052025
## [383] train-mlogloss:0.007641+0.000194 test-mlogloss:1.176024+0.052415
## [384] train-mlogloss:0.007605+0.000196 test-mlogloss:1.176706+0.052596
## [385] train-mlogloss:0.007570+0.000194 test-mlogloss:1.176592+0.051880
## [386] train-mlogloss:0.007544+0.000194 test-mlogloss:1.176666+0.051642
## [387] train-mlogloss:0.007503+0.000199 test-mlogloss:1.177441+0.052034
## [388] train-mlogloss:0.007472+0.000190 test-mlogloss:1.177606+0.051196
## [389] train-mlogloss:0.007435+0.000189 test-mlogloss:1.178294+0.051423
## [390] train-mlogloss:0.007404+0.000186 test-mlogloss:1.179223+0.051729
## [391] train-mlogloss:0.007363+0.000180 test-mlogloss:1.178838+0.052226
## [392] train-mlogloss:0.007330+0.000184 test-mlogloss:1.180112+0.051486
## [393] train-mlogloss:0.007298+0.000187 test-mlogloss:1.179802+0.051408
## [394] train-mlogloss:0.007264+0.000178 test-mlogloss:1.180425+0.050934
## [395] train-mlogloss:0.007232+0.000175 test-mlogloss:1.181203+0.051106
## [396] train-mlogloss:0.007202+0.000169 test-mlogloss:1.182865+0.049302
## [397] train-mlogloss:0.007170+0.000167 test-mlogloss:1.183523+0.050777
## [398] train-mlogloss:0.007142+0.000163 test-mlogloss:1.183990+0.051243
## [399] train-mlogloss:0.007107+0.000163 test-mlogloss:1.184212+0.051766
## [400] train-mlogloss:0.007074+0.000162 test-mlogloss:1.184992+0.050658
## [401] train-mlogloss:0.007049+0.000160 test-mlogloss:1.185348+0.051040
## [402] train-mlogloss:0.007013+0.000157 test-mlogloss:1.185997+0.051256
## [403] train-mlogloss:0.006970+0.000165 test-mlogloss:1.187406+0.052086
## [404] train-mlogloss:0.006938+0.000159 test-mlogloss:1.188823+0.051508
## [405] train-mlogloss:0.006902+0.000161 test-mlogloss:1.189211+0.051190
## [406] train-mlogloss:0.006874+0.000163 test-mlogloss:1.189773+0.050636
## [407] train-mlogloss:0.006850+0.000162 test-mlogloss:1.191004+0.051256
## [408] train-mlogloss:0.006819+0.000157 test-mlogloss:1.191221+0.051750
## [409] train-mlogloss:0.006790+0.000151 test-mlogloss:1.191249+0.051390
## [410] train-mlogloss:0.006761+0.000152 test-mlogloss:1.191923+0.051500
## [411] train-mlogloss:0.006738+0.000148 test-mlogloss:1.192852+0.051432
## [412] train-mlogloss:0.006712+0.000143 test-mlogloss:1.193549+0.051798
## [413] train-mlogloss:0.006685+0.000143 test-mlogloss:1.193771+0.050904
## [414] train-mlogloss:0.006654+0.000145 test-mlogloss:1.194132+0.050637
## [415] train-mlogloss:0.006629+0.000145 test-mlogloss:1.195981+0.051272
## [416] train-mlogloss:0.006598+0.000147 test-mlogloss:1.195956+0.052078
## [417] train-mlogloss:0.006575+0.000145 test-mlogloss:1.196859+0.052268
## [418] train-mlogloss:0.006551+0.000147 test-mlogloss:1.196904+0.052513
## [419] train-mlogloss:0.006526+0.000145 test-mlogloss:1.197029+0.052527
## [420] train-mlogloss:0.006504+0.000142 test-mlogloss:1.198204+0.051780
## [421] train-mlogloss:0.006482+0.000142 test-mlogloss:1.198706+0.052739
## [422] train-mlogloss:0.006453+0.000139 test-mlogloss:1.199266+0.053536
## [423] train-mlogloss:0.006435+0.000135 test-mlogloss:1.199177+0.053490
## [424] train-mlogloss:0.006404+0.000134 test-mlogloss:1.200968+0.053318
## [425] train-mlogloss:0.006382+0.000135 test-mlogloss:1.201659+0.053841
## [426] train-mlogloss:0.006351+0.000131 test-mlogloss:1.202085+0.053928
## [427] train-mlogloss:0.006325+0.000128 test-mlogloss:1.202081+0.054532
## [428] train-mlogloss:0.006301+0.000124 test-mlogloss:1.203311+0.053845
## [429] train-mlogloss:0.006278+0.000126 test-mlogloss:1.203608+0.053477
## [430] train-mlogloss:0.006254+0.000126 test-mlogloss:1.204095+0.053047
## [431] train-mlogloss:0.006229+0.000127 test-mlogloss:1.204419+0.053040
## [432] train-mlogloss:0.006202+0.000123 test-mlogloss:1.205923+0.053460
## [433] train-mlogloss:0.006185+0.000123 test-mlogloss:1.206489+0.053221
## [434] train-mlogloss:0.006162+0.000124 test-mlogloss:1.207252+0.053924
## [435] train-mlogloss:0.006139+0.000122 test-mlogloss:1.207910+0.053827
## [436] train-mlogloss:0.006117+0.000122 test-mlogloss:1.207931+0.053976
## [437] train-mlogloss:0.006090+0.000122 test-mlogloss:1.208992+0.054223
## [438] train-mlogloss:0.006068+0.000122 test-mlogloss:1.210334+0.054411
## [439] train-mlogloss:0.006042+0.000118 test-mlogloss:1.210663+0.053505
## [440] train-mlogloss:0.006016+0.000114 test-mlogloss:1.211721+0.053894
## [441] train-mlogloss:0.005992+0.000115 test-mlogloss:1.211690+0.054407
## [442] train-mlogloss:0.005972+0.000110 test-mlogloss:1.211653+0.054045
## [443] train-mlogloss:0.005951+0.000105 test-mlogloss:1.210743+0.054650
## [444] train-mlogloss:0.005930+0.000109 test-mlogloss:1.212419+0.054139
## [445] train-mlogloss:0.005906+0.000112 test-mlogloss:1.213179+0.053517
## [446] train-mlogloss:0.005887+0.000108 test-mlogloss:1.213374+0.052976
## [447] train-mlogloss:0.005866+0.000109 test-mlogloss:1.214363+0.053424
## [448] train-mlogloss:0.005838+0.000103 test-mlogloss:1.214806+0.053861
## [449] train-mlogloss:0.005816+0.000107 test-mlogloss:1.214293+0.053071
## [450] train-mlogloss:0.005791+0.000105 test-mlogloss:1.214209+0.052746
## [451] train-mlogloss:0.005768+0.000107 test-mlogloss:1.215036+0.052348
## [452] train-mlogloss:0.005747+0.000106 test-mlogloss:1.216442+0.052659
## [453] train-mlogloss:0.005729+0.000102 test-mlogloss:1.216954+0.053164
## [454] train-mlogloss:0.005703+0.000100 test-mlogloss:1.217351+0.052981
## [455] train-mlogloss:0.005680+0.000098 test-mlogloss:1.217823+0.052425
## [456] train-mlogloss:0.005660+0.000095 test-mlogloss:1.217813+0.052974
## [457] train-mlogloss:0.005644+0.000094 test-mlogloss:1.219039+0.053110
## [458] train-mlogloss:0.005622+0.000098 test-mlogloss:1.219095+0.053234
## [459] train-mlogloss:0.005604+0.000094 test-mlogloss:1.219298+0.053441
## [460] train-mlogloss:0.005590+0.000091 test-mlogloss:1.218909+0.053795
## [461] train-mlogloss:0.005567+0.000090 test-mlogloss:1.219972+0.054103
## [462] train-mlogloss:0.005547+0.000093 test-mlogloss:1.220382+0.053928
## [463] train-mlogloss:0.005529+0.000093 test-mlogloss:1.220119+0.053635
## [464] train-mlogloss:0.005510+0.000094 test-mlogloss:1.221343+0.053807
## [465] train-mlogloss:0.005491+0.000092 test-mlogloss:1.222042+0.053370
## [466] train-mlogloss:0.005472+0.000089 test-mlogloss:1.223580+0.052318
## [467] train-mlogloss:0.005454+0.000091 test-mlogloss:1.224743+0.052640
## [468] train-mlogloss:0.005433+0.000091 test-mlogloss:1.225008+0.052394
## [469] train-mlogloss:0.005416+0.000089 test-mlogloss:1.225139+0.052009
## [470] train-mlogloss:0.005401+0.000089 test-mlogloss:1.225136+0.052052
## [471] train-mlogloss:0.005380+0.000087 test-mlogloss:1.225861+0.052303
## [472] train-mlogloss:0.005364+0.000083 test-mlogloss:1.227316+0.053550
## [473] train-mlogloss:0.005345+0.000088 test-mlogloss:1.227454+0.053832
## [474] train-mlogloss:0.005329+0.000084 test-mlogloss:1.226686+0.054121
## [475] train-mlogloss:0.005311+0.000091 test-mlogloss:1.227877+0.054778
## [476] train-mlogloss:0.005292+0.000096 test-mlogloss:1.227790+0.054392
## [477] train-mlogloss:0.005275+0.000095 test-mlogloss:1.228666+0.053825
## [478] train-mlogloss:0.005260+0.000090 test-mlogloss:1.229124+0.053503
## [479] train-mlogloss:0.005241+0.000089 test-mlogloss:1.229450+0.052826
## [480] train-mlogloss:0.005223+0.000088 test-mlogloss:1.230100+0.053011
## [481] train-mlogloss:0.005205+0.000089 test-mlogloss:1.230475+0.052577
## [482] train-mlogloss:0.005186+0.000093 test-mlogloss:1.231183+0.052636
## [483] train-mlogloss:0.005168+0.000092 test-mlogloss:1.232065+0.052595
## [484] train-mlogloss:0.005150+0.000088 test-mlogloss:1.231521+0.052327
## [485] train-mlogloss:0.005134+0.000088 test-mlogloss:1.231754+0.052596
## [486] train-mlogloss:0.005117+0.000087 test-mlogloss:1.232375+0.052609
## [487] train-mlogloss:0.005101+0.000088 test-mlogloss:1.233437+0.052761
## [488] train-mlogloss:0.005082+0.000088 test-mlogloss:1.234957+0.052923
## [489] train-mlogloss:0.005062+0.000085 test-mlogloss:1.235679+0.051833
## [490] train-mlogloss:0.005049+0.000084 test-mlogloss:1.236434+0.052148
## [491] train-mlogloss:0.005031+0.000087 test-mlogloss:1.236831+0.051944
## [492] train-mlogloss:0.005017+0.000085 test-mlogloss:1.237828+0.051669
## [493] train-mlogloss:0.005002+0.000086 test-mlogloss:1.237872+0.051238
## [494] train-mlogloss:0.004988+0.000085 test-mlogloss:1.238409+0.051020
## [495] train-mlogloss:0.004971+0.000082 test-mlogloss:1.239361+0.051050
## [496] train-mlogloss:0.004959+0.000081 test-mlogloss:1.240417+0.051192
## [497] train-mlogloss:0.004942+0.000083 test-mlogloss:1.241180+0.051007
## [498] train-mlogloss:0.004927+0.000081 test-mlogloss:1.240907+0.051593
## [499] train-mlogloss:0.004912+0.000082 test-mlogloss:1.240941+0.051641
## [500] train-mlogloss:0.004897+0.000081 test-mlogloss:1.241766+0.052401
## [1] train-mlogloss:0.409330+0.003235 test-mlogloss:0.608046+0.010074
## [2] train-mlogloss:0.291832+0.003583 test-mlogloss:0.627231+0.012194
## [3] train-mlogloss:0.223043+0.003564 test-mlogloss:0.650652+0.022417
## [4] train-mlogloss:0.178192+0.004892 test-mlogloss:0.665375+0.026881
## [5] train-mlogloss:0.144197+0.003908 test-mlogloss:0.684213+0.026627
## [6] train-mlogloss:0.120499+0.003570 test-mlogloss:0.700180+0.029941
## [7] train-mlogloss:0.101130+0.002924 test-mlogloss:0.717537+0.035092
## [8] train-mlogloss:0.086853+0.002766 test-mlogloss:0.733785+0.036084
## [9] train-mlogloss:0.075133+0.002062 test-mlogloss:0.744705+0.036158
## [10] train-mlogloss:0.065828+0.001539 test-mlogloss:0.755640+0.038796
## [11] train-mlogloss:0.058259+0.000996 test-mlogloss:0.766036+0.038719
## [12] train-mlogloss:0.052149+0.000721 test-mlogloss:0.770970+0.041892
## [13] train-mlogloss:0.047297+0.000551 test-mlogloss:0.780545+0.042134
## [14] train-mlogloss:0.043305+0.000724 test-mlogloss:0.788914+0.045062
## [15] train-mlogloss:0.039796+0.000713 test-mlogloss:0.796547+0.043266
## [16] train-mlogloss:0.036692+0.000660 test-mlogloss:0.806356+0.045796
## [17] train-mlogloss:0.033955+0.000546 test-mlogloss:0.812858+0.047195
## [18] train-mlogloss:0.031759+0.000563 test-mlogloss:0.817227+0.048148
## [19] train-mlogloss:0.029869+0.000494 test-mlogloss:0.824651+0.049740
## [20] train-mlogloss:0.028103+0.000498 test-mlogloss:0.832289+0.052533
## [21] train-mlogloss:0.026652+0.000535 test-mlogloss:0.838046+0.053123
## [22] train-mlogloss:0.025252+0.000514 test-mlogloss:0.843814+0.055001
## [23] train-mlogloss:0.024015+0.000460 test-mlogloss:0.850331+0.053314
## [24] train-mlogloss:0.022856+0.000380 test-mlogloss:0.855155+0.054926
## [25] train-mlogloss:0.021848+0.000348 test-mlogloss:0.860390+0.055814
## [26] train-mlogloss:0.020914+0.000338 test-mlogloss:0.864914+0.057845
## [27] train-mlogloss:0.020060+0.000317 test-mlogloss:0.869804+0.060135
## [28] train-mlogloss:0.019302+0.000304 test-mlogloss:0.873764+0.062391
## [29] train-mlogloss:0.018587+0.000273 test-mlogloss:0.878769+0.062165
## [30] train-mlogloss:0.017907+0.000254 test-mlogloss:0.882175+0.061908
## [31] train-mlogloss:0.017303+0.000237 test-mlogloss:0.885797+0.064192
## [32] train-mlogloss:0.016773+0.000212 test-mlogloss:0.889854+0.066700
## [33] train-mlogloss:0.016290+0.000185 test-mlogloss:0.891964+0.065770
## [34] train-mlogloss:0.015778+0.000181 test-mlogloss:0.895041+0.064480
## [35] train-mlogloss:0.015325+0.000186 test-mlogloss:0.899557+0.065194
## [36] train-mlogloss:0.014890+0.000184 test-mlogloss:0.901388+0.065082
## [37] train-mlogloss:0.014491+0.000187 test-mlogloss:0.905924+0.066305
## [38] train-mlogloss:0.014129+0.000166 test-mlogloss:0.909340+0.067061
## [39] train-mlogloss:0.013766+0.000169 test-mlogloss:0.913060+0.066843
## [40] train-mlogloss:0.013433+0.000161 test-mlogloss:0.915534+0.065216
## [41] train-mlogloss:0.013103+0.000148 test-mlogloss:0.918960+0.064903
## [42] train-mlogloss:0.012795+0.000140 test-mlogloss:0.922269+0.064368
## [43] train-mlogloss:0.012490+0.000150 test-mlogloss:0.924387+0.065902
## [44] train-mlogloss:0.012208+0.000144 test-mlogloss:0.927771+0.067155
## [45] train-mlogloss:0.011939+0.000163 test-mlogloss:0.931535+0.067939
## [46] train-mlogloss:0.011684+0.000149 test-mlogloss:0.933786+0.068021
## [47] train-mlogloss:0.011439+0.000137 test-mlogloss:0.936482+0.069098
## [48] train-mlogloss:0.011222+0.000140 test-mlogloss:0.938210+0.069559
## [49] train-mlogloss:0.011009+0.000140 test-mlogloss:0.941487+0.069014
## [50] train-mlogloss:0.010812+0.000148 test-mlogloss:0.944740+0.068828
## [51] train-mlogloss:0.010606+0.000155 test-mlogloss:0.946444+0.068931
## [52] train-mlogloss:0.010409+0.000151 test-mlogloss:0.948464+0.070124
## [53] train-mlogloss:0.010231+0.000156 test-mlogloss:0.949228+0.069914
## [54] train-mlogloss:0.010053+0.000132 test-mlogloss:0.950339+0.069647
## [55] train-mlogloss:0.009891+0.000128 test-mlogloss:0.952132+0.070478
## [56] train-mlogloss:0.009735+0.000122 test-mlogloss:0.955171+0.071560
## [57] train-mlogloss:0.009580+0.000126 test-mlogloss:0.956722+0.072485
## [58] train-mlogloss:0.009428+0.000123 test-mlogloss:0.960623+0.071791
## [59] train-mlogloss:0.009285+0.000125 test-mlogloss:0.963236+0.073395
## [60] train-mlogloss:0.009146+0.000114 test-mlogloss:0.964505+0.072606
## [61] train-mlogloss:0.009012+0.000114 test-mlogloss:0.966599+0.072902
## [62] train-mlogloss:0.008878+0.000114 test-mlogloss:0.967408+0.073031
## [63] train-mlogloss:0.008748+0.000113 test-mlogloss:0.971039+0.073688
## [64] train-mlogloss:0.008616+0.000102 test-mlogloss:0.972976+0.074812
## [65] train-mlogloss:0.008508+0.000104 test-mlogloss:0.974401+0.076130
## [66] train-mlogloss:0.008390+0.000107 test-mlogloss:0.976719+0.076231
## [67] train-mlogloss:0.008286+0.000105 test-mlogloss:0.978610+0.076822
## [68] train-mlogloss:0.008181+0.000103 test-mlogloss:0.979183+0.075536
## [69] train-mlogloss:0.008082+0.000087 test-mlogloss:0.980223+0.075612
## [70] train-mlogloss:0.007982+0.000090 test-mlogloss:0.982007+0.076730
## [71] train-mlogloss:0.007874+0.000091 test-mlogloss:0.984340+0.075412
## [72] train-mlogloss:0.007785+0.000094 test-mlogloss:0.985690+0.075007
## [73] train-mlogloss:0.007690+0.000092 test-mlogloss:0.988017+0.075750
## [74] train-mlogloss:0.007610+0.000093 test-mlogloss:0.989514+0.075604
## [75] train-mlogloss:0.007525+0.000097 test-mlogloss:0.991176+0.077065
## [76] train-mlogloss:0.007437+0.000091 test-mlogloss:0.991889+0.075673
## [77] train-mlogloss:0.007358+0.000087 test-mlogloss:0.993429+0.075536
## [78] train-mlogloss:0.007277+0.000089 test-mlogloss:0.995719+0.075640
## [79] train-mlogloss:0.007204+0.000092 test-mlogloss:0.996519+0.075341
## [80] train-mlogloss:0.007133+0.000097 test-mlogloss:0.997054+0.075095
## [81] train-mlogloss:0.007059+0.000093 test-mlogloss:0.997977+0.075657
## [82] train-mlogloss:0.006984+0.000089 test-mlogloss:0.998402+0.076193
## [83] train-mlogloss:0.006921+0.000082 test-mlogloss:1.001046+0.077852
## [84] train-mlogloss:0.006860+0.000076 test-mlogloss:1.002791+0.078423
## [85] train-mlogloss:0.006797+0.000076 test-mlogloss:1.003532+0.077824
## [86] train-mlogloss:0.006735+0.000080 test-mlogloss:1.004377+0.078065
## [87] train-mlogloss:0.006670+0.000077 test-mlogloss:1.006121+0.077735
## [88] train-mlogloss:0.006603+0.000076 test-mlogloss:1.006819+0.078324
## [89] train-mlogloss:0.006542+0.000082 test-mlogloss:1.009488+0.078818
## [90] train-mlogloss:0.006484+0.000081 test-mlogloss:1.011147+0.077919
## [91] train-mlogloss:0.006431+0.000082 test-mlogloss:1.012667+0.078667
## [92] train-mlogloss:0.006373+0.000082 test-mlogloss:1.015185+0.078374
## [93] train-mlogloss:0.006315+0.000080 test-mlogloss:1.016450+0.077478
## [94] train-mlogloss:0.006258+0.000077 test-mlogloss:1.016749+0.077586
## [95] train-mlogloss:0.006207+0.000077 test-mlogloss:1.018007+0.076664
## [96] train-mlogloss:0.006154+0.000080 test-mlogloss:1.018958+0.076933
## [97] train-mlogloss:0.006103+0.000080 test-mlogloss:1.019539+0.077940
## [98] train-mlogloss:0.006055+0.000084 test-mlogloss:1.021145+0.077856
## [99] train-mlogloss:0.006005+0.000078 test-mlogloss:1.022458+0.077804
## [100] train-mlogloss:0.005961+0.000079 test-mlogloss:1.023507+0.077359
## [101] train-mlogloss:0.005914+0.000079 test-mlogloss:1.024576+0.078370
## [102] train-mlogloss:0.005873+0.000081 test-mlogloss:1.025735+0.078909
## [103] train-mlogloss:0.005826+0.000081 test-mlogloss:1.027092+0.078530
## [104] train-mlogloss:0.005783+0.000080 test-mlogloss:1.027646+0.080161
## [105] train-mlogloss:0.005744+0.000078 test-mlogloss:1.029331+0.081042
## [106] train-mlogloss:0.005699+0.000076 test-mlogloss:1.030312+0.081710
## [107] train-mlogloss:0.005655+0.000077 test-mlogloss:1.031495+0.080816
## [108] train-mlogloss:0.005610+0.000074 test-mlogloss:1.031798+0.080169
## [109] train-mlogloss:0.005570+0.000074 test-mlogloss:1.033450+0.080182
## [110] train-mlogloss:0.005525+0.000075 test-mlogloss:1.033322+0.079936
## [111] train-mlogloss:0.005490+0.000077 test-mlogloss:1.033926+0.079472
## [112] train-mlogloss:0.005452+0.000074 test-mlogloss:1.034406+0.078871
## [113] train-mlogloss:0.005415+0.000074 test-mlogloss:1.034342+0.078771
## [114] train-mlogloss:0.005381+0.000071 test-mlogloss:1.036309+0.079014
## [115] train-mlogloss:0.005344+0.000071 test-mlogloss:1.037724+0.079787
## [116] train-mlogloss:0.005308+0.000072 test-mlogloss:1.038722+0.079984
## [117] train-mlogloss:0.005271+0.000070 test-mlogloss:1.039250+0.080737
## [118] train-mlogloss:0.005233+0.000065 test-mlogloss:1.039469+0.080098
## [119] train-mlogloss:0.005201+0.000066 test-mlogloss:1.040401+0.080077
## [120] train-mlogloss:0.005165+0.000071 test-mlogloss:1.041712+0.080363
## [121] train-mlogloss:0.005131+0.000069 test-mlogloss:1.042670+0.080467
## [122] train-mlogloss:0.005099+0.000065 test-mlogloss:1.043417+0.080029
## [123] train-mlogloss:0.005068+0.000063 test-mlogloss:1.043919+0.079011
## [124] train-mlogloss:0.005040+0.000064 test-mlogloss:1.045156+0.079166
## [125] train-mlogloss:0.005011+0.000061 test-mlogloss:1.045719+0.079774
## [126] train-mlogloss:0.004980+0.000062 test-mlogloss:1.046565+0.079560
## [127] train-mlogloss:0.004954+0.000057 test-mlogloss:1.048713+0.079322
## [128] train-mlogloss:0.004928+0.000057 test-mlogloss:1.049098+0.079327
## [129] train-mlogloss:0.004900+0.000058 test-mlogloss:1.049746+0.079811
## [130] train-mlogloss:0.004871+0.000060 test-mlogloss:1.050857+0.080523
## [131] train-mlogloss:0.004843+0.000058 test-mlogloss:1.051960+0.081647
## [132] train-mlogloss:0.004817+0.000060 test-mlogloss:1.053843+0.081998
## [133] train-mlogloss:0.004789+0.000057 test-mlogloss:1.055036+0.081637
## [134] train-mlogloss:0.004762+0.000058 test-mlogloss:1.056006+0.081159
## [135] train-mlogloss:0.004739+0.000061 test-mlogloss:1.056507+0.081544
## [136] train-mlogloss:0.004714+0.000057 test-mlogloss:1.058526+0.081476
## [137] train-mlogloss:0.004684+0.000055 test-mlogloss:1.059234+0.081189
## [138] train-mlogloss:0.004660+0.000053 test-mlogloss:1.059442+0.080694
## [139] train-mlogloss:0.004636+0.000050 test-mlogloss:1.061514+0.080685
## [140] train-mlogloss:0.004612+0.000051 test-mlogloss:1.062944+0.080041
## [141] train-mlogloss:0.004591+0.000049 test-mlogloss:1.063786+0.080017
## [142] train-mlogloss:0.004566+0.000049 test-mlogloss:1.063713+0.080716
## [143] train-mlogloss:0.004541+0.000051 test-mlogloss:1.065343+0.081087
## [144] train-mlogloss:0.004520+0.000053 test-mlogloss:1.066029+0.081702
## [145] train-mlogloss:0.004500+0.000052 test-mlogloss:1.067131+0.081339
## [146] train-mlogloss:0.004475+0.000053 test-mlogloss:1.067811+0.081193
## [147] train-mlogloss:0.004452+0.000053 test-mlogloss:1.068729+0.080302
## [148] train-mlogloss:0.004429+0.000055 test-mlogloss:1.069521+0.080642
## [149] train-mlogloss:0.004409+0.000052 test-mlogloss:1.069995+0.080117
## [150] train-mlogloss:0.004390+0.000054 test-mlogloss:1.070346+0.080687
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## [152] train-mlogloss:0.004343+0.000049 test-mlogloss:1.072357+0.080575
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## [154] train-mlogloss:0.004303+0.000050 test-mlogloss:1.074415+0.081013
## [155] train-mlogloss:0.004283+0.000049 test-mlogloss:1.074538+0.080536
## [156] train-mlogloss:0.004265+0.000047 test-mlogloss:1.075500+0.080699
## [157] train-mlogloss:0.004246+0.000046 test-mlogloss:1.074869+0.081133
## [158] train-mlogloss:0.004226+0.000047 test-mlogloss:1.074954+0.081649
## [159] train-mlogloss:0.004207+0.000046 test-mlogloss:1.075794+0.082041
## [160] train-mlogloss:0.004190+0.000046 test-mlogloss:1.076934+0.081365
## [161] train-mlogloss:0.004169+0.000042 test-mlogloss:1.077937+0.080644
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## [165] train-mlogloss:0.004093+0.000041 test-mlogloss:1.082362+0.081364
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## [167] train-mlogloss:0.004059+0.000039 test-mlogloss:1.083458+0.080670
## [168] train-mlogloss:0.004043+0.000038 test-mlogloss:1.084399+0.080865
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## [170] train-mlogloss:0.004008+0.000035 test-mlogloss:1.085232+0.082240
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## [172] train-mlogloss:0.003975+0.000035 test-mlogloss:1.085818+0.081839
## [173] train-mlogloss:0.003957+0.000036 test-mlogloss:1.087547+0.081685
## [174] train-mlogloss:0.003941+0.000037 test-mlogloss:1.088448+0.082081
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## [182] train-mlogloss:0.003819+0.000035 test-mlogloss:1.091848+0.081669
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## [184] train-mlogloss:0.003790+0.000035 test-mlogloss:1.092702+0.081281
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## [195] train-mlogloss:0.003642+0.000031 test-mlogloss:1.100398+0.082044
## [196] train-mlogloss:0.003627+0.000032 test-mlogloss:1.100735+0.082240
## [197] train-mlogloss:0.003615+0.000033 test-mlogloss:1.100477+0.082097
## [198] train-mlogloss:0.003602+0.000034 test-mlogloss:1.101402+0.082190
## [199] train-mlogloss:0.003590+0.000033 test-mlogloss:1.101356+0.082448
## [200] train-mlogloss:0.003579+0.000034 test-mlogloss:1.102798+0.082763
## [201] train-mlogloss:0.003566+0.000032 test-mlogloss:1.102822+0.082458
## [202] train-mlogloss:0.003555+0.000033 test-mlogloss:1.103977+0.083099
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## [204] train-mlogloss:0.003529+0.000032 test-mlogloss:1.104360+0.082700
## [205] train-mlogloss:0.003518+0.000031 test-mlogloss:1.104715+0.083704
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## [208] train-mlogloss:0.003485+0.000028 test-mlogloss:1.105494+0.083815
## [209] train-mlogloss:0.003474+0.000029 test-mlogloss:1.106045+0.083660
## [210] train-mlogloss:0.003462+0.000028 test-mlogloss:1.106318+0.084527
## [211] train-mlogloss:0.003450+0.000030 test-mlogloss:1.106843+0.083441
## [212] train-mlogloss:0.003439+0.000030 test-mlogloss:1.107145+0.083682
## [213] train-mlogloss:0.003427+0.000029 test-mlogloss:1.108126+0.084183
## [214] train-mlogloss:0.003415+0.000028 test-mlogloss:1.108975+0.084071
## [215] train-mlogloss:0.003403+0.000028 test-mlogloss:1.109693+0.084505
## [216] train-mlogloss:0.003393+0.000028 test-mlogloss:1.109825+0.083718
## [217] train-mlogloss:0.003383+0.000027 test-mlogloss:1.110492+0.084450
## [218] train-mlogloss:0.003372+0.000028 test-mlogloss:1.110491+0.085590
## [219] train-mlogloss:0.003361+0.000028 test-mlogloss:1.111155+0.085359
## [220] train-mlogloss:0.003350+0.000028 test-mlogloss:1.111835+0.085340
## [221] train-mlogloss:0.003340+0.000028 test-mlogloss:1.111644+0.085408
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## [223] train-mlogloss:0.003320+0.000028 test-mlogloss:1.113005+0.084927
## [224] train-mlogloss:0.003309+0.000030 test-mlogloss:1.113286+0.084456
## [225] train-mlogloss:0.003300+0.000030 test-mlogloss:1.114085+0.084979
## [226] train-mlogloss:0.003290+0.000031 test-mlogloss:1.114441+0.085308
## [227] train-mlogloss:0.003282+0.000032 test-mlogloss:1.115077+0.084850
## [228] train-mlogloss:0.003272+0.000031 test-mlogloss:1.115651+0.084958
## [229] train-mlogloss:0.003263+0.000031 test-mlogloss:1.116596+0.085014
## [230] train-mlogloss:0.003254+0.000030 test-mlogloss:1.117034+0.085074
## [231] train-mlogloss:0.003245+0.000030 test-mlogloss:1.118316+0.086046
## [232] train-mlogloss:0.003236+0.000032 test-mlogloss:1.118652+0.085201
## [233] train-mlogloss:0.003226+0.000033 test-mlogloss:1.118271+0.084868
## [234] train-mlogloss:0.003216+0.000033 test-mlogloss:1.119160+0.084767
## [235] train-mlogloss:0.003208+0.000031 test-mlogloss:1.120000+0.085557
## [236] train-mlogloss:0.003199+0.000032 test-mlogloss:1.120649+0.084384
## [237] train-mlogloss:0.003190+0.000032 test-mlogloss:1.121205+0.084391
## [238] train-mlogloss:0.003180+0.000033 test-mlogloss:1.120428+0.084287
## [239] train-mlogloss:0.003170+0.000033 test-mlogloss:1.120905+0.085328
## [240] train-mlogloss:0.003161+0.000034 test-mlogloss:1.121605+0.085306
## [241] train-mlogloss:0.003153+0.000033 test-mlogloss:1.122133+0.084740
## [242] train-mlogloss:0.003145+0.000033 test-mlogloss:1.122550+0.085876
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## [244] train-mlogloss:0.003127+0.000032 test-mlogloss:1.123329+0.085773
## [245] train-mlogloss:0.003120+0.000031 test-mlogloss:1.124183+0.085665
## [246] train-mlogloss:0.003112+0.000031 test-mlogloss:1.124343+0.084801
## [247] train-mlogloss:0.003104+0.000033 test-mlogloss:1.125331+0.084984
## [248] train-mlogloss:0.003095+0.000033 test-mlogloss:1.125525+0.085631
## [249] train-mlogloss:0.003088+0.000033 test-mlogloss:1.126002+0.085773
## [250] train-mlogloss:0.003079+0.000033 test-mlogloss:1.126378+0.085992
## [251] train-mlogloss:0.003071+0.000033 test-mlogloss:1.127149+0.086222
## [252] train-mlogloss:0.003064+0.000032 test-mlogloss:1.127149+0.085399
## [253] train-mlogloss:0.003056+0.000032 test-mlogloss:1.127375+0.085016
## [254] train-mlogloss:0.003048+0.000034 test-mlogloss:1.127546+0.085880
## [255] train-mlogloss:0.003040+0.000034 test-mlogloss:1.128458+0.084944
## [256] train-mlogloss:0.003032+0.000036 test-mlogloss:1.128762+0.085036
## [257] train-mlogloss:0.003023+0.000035 test-mlogloss:1.128904+0.085005
## [258] train-mlogloss:0.003015+0.000037 test-mlogloss:1.129288+0.085934
## [259] train-mlogloss:0.003008+0.000036 test-mlogloss:1.129737+0.086166
## [260] train-mlogloss:0.003000+0.000036 test-mlogloss:1.130373+0.086701
## [261] train-mlogloss:0.002994+0.000036 test-mlogloss:1.131120+0.086803
## [262] train-mlogloss:0.002986+0.000036 test-mlogloss:1.130411+0.086647
## [263] train-mlogloss:0.002979+0.000035 test-mlogloss:1.131027+0.085696
## [264] train-mlogloss:0.002971+0.000035 test-mlogloss:1.131801+0.085359
## [265] train-mlogloss:0.002964+0.000036 test-mlogloss:1.132237+0.084971
## [266] train-mlogloss:0.002957+0.000036 test-mlogloss:1.132874+0.086385
## [267] train-mlogloss:0.002950+0.000036 test-mlogloss:1.132946+0.086954
## [268] train-mlogloss:0.002943+0.000037 test-mlogloss:1.133368+0.086871
## [269] train-mlogloss:0.002936+0.000038 test-mlogloss:1.133293+0.086036
## [270] train-mlogloss:0.002929+0.000038 test-mlogloss:1.134146+0.086352
## [271] train-mlogloss:0.002922+0.000037 test-mlogloss:1.135502+0.085648
## [272] train-mlogloss:0.002915+0.000036 test-mlogloss:1.135268+0.085626
## [273] train-mlogloss:0.002908+0.000036 test-mlogloss:1.135845+0.085087
## [274] train-mlogloss:0.002902+0.000036 test-mlogloss:1.136159+0.085828
## [275] train-mlogloss:0.002894+0.000035 test-mlogloss:1.136564+0.086184
## [276] train-mlogloss:0.002887+0.000036 test-mlogloss:1.136704+0.086403
## [277] train-mlogloss:0.002881+0.000036 test-mlogloss:1.137198+0.087189
## [278] train-mlogloss:0.002875+0.000036 test-mlogloss:1.137806+0.087642
## [279] train-mlogloss:0.002870+0.000036 test-mlogloss:1.137717+0.088133
## [280] train-mlogloss:0.002863+0.000035 test-mlogloss:1.138600+0.088145
## [281] train-mlogloss:0.002856+0.000035 test-mlogloss:1.138558+0.087365
## [282] train-mlogloss:0.002849+0.000034 test-mlogloss:1.138185+0.086034
## [283] train-mlogloss:0.002841+0.000035 test-mlogloss:1.137783+0.086304
## [284] train-mlogloss:0.002834+0.000036 test-mlogloss:1.138683+0.086884
## [285] train-mlogloss:0.002829+0.000036 test-mlogloss:1.138635+0.087089
## [286] train-mlogloss:0.002822+0.000036 test-mlogloss:1.139434+0.086595
## [287] train-mlogloss:0.002816+0.000036 test-mlogloss:1.140094+0.086931
## [288] train-mlogloss:0.002810+0.000035 test-mlogloss:1.140477+0.087294
## [289] train-mlogloss:0.002804+0.000037 test-mlogloss:1.140080+0.086987
## [290] train-mlogloss:0.002798+0.000036 test-mlogloss:1.140922+0.087209
## [291] train-mlogloss:0.002792+0.000035 test-mlogloss:1.141974+0.087988
## [292] train-mlogloss:0.002785+0.000035 test-mlogloss:1.142578+0.088432
## [293] train-mlogloss:0.002779+0.000034 test-mlogloss:1.142490+0.087673
## [294] train-mlogloss:0.002772+0.000035 test-mlogloss:1.142875+0.087629
## [295] train-mlogloss:0.002766+0.000034 test-mlogloss:1.143138+0.087363
## [296] train-mlogloss:0.002762+0.000035 test-mlogloss:1.144154+0.086696
## [297] train-mlogloss:0.002756+0.000034 test-mlogloss:1.143789+0.086722
## [298] train-mlogloss:0.002750+0.000035 test-mlogloss:1.143584+0.087430
## [299] train-mlogloss:0.002744+0.000033 test-mlogloss:1.143729+0.087654
## [300] train-mlogloss:0.002738+0.000034 test-mlogloss:1.143482+0.087681
## [301] train-mlogloss:0.002733+0.000034 test-mlogloss:1.143398+0.087414
## [302] train-mlogloss:0.002727+0.000034 test-mlogloss:1.143784+0.088033
## [303] train-mlogloss:0.002722+0.000033 test-mlogloss:1.144875+0.086877
## [304] train-mlogloss:0.002716+0.000032 test-mlogloss:1.144534+0.086808
## [305] train-mlogloss:0.002711+0.000032 test-mlogloss:1.145497+0.087751
## [306] train-mlogloss:0.002705+0.000032 test-mlogloss:1.146185+0.087185
## [307] train-mlogloss:0.002699+0.000032 test-mlogloss:1.146560+0.086596
## [308] train-mlogloss:0.002693+0.000033 test-mlogloss:1.146749+0.085916
## [309] train-mlogloss:0.002688+0.000033 test-mlogloss:1.147504+0.086155
## [310] train-mlogloss:0.002682+0.000033 test-mlogloss:1.147657+0.086188
## [311] train-mlogloss:0.002677+0.000033 test-mlogloss:1.148368+0.086339
## [312] train-mlogloss:0.002670+0.000033 test-mlogloss:1.148095+0.087000
## [313] train-mlogloss:0.002664+0.000033 test-mlogloss:1.148466+0.087074
## [314] train-mlogloss:0.002659+0.000031 test-mlogloss:1.148308+0.085997
## [315] train-mlogloss:0.002655+0.000030 test-mlogloss:1.149178+0.085970
## [316] train-mlogloss:0.002650+0.000031 test-mlogloss:1.148922+0.086053
## [317] train-mlogloss:0.002644+0.000031 test-mlogloss:1.149586+0.086018
## [318] train-mlogloss:0.002639+0.000031 test-mlogloss:1.149855+0.085791
## [319] train-mlogloss:0.002634+0.000029 test-mlogloss:1.150638+0.086479
## [320] train-mlogloss:0.002629+0.000029 test-mlogloss:1.151132+0.086711
## [321] train-mlogloss:0.002624+0.000029 test-mlogloss:1.151681+0.086695
## [322] train-mlogloss:0.002619+0.000029 test-mlogloss:1.152197+0.087591
## [323] train-mlogloss:0.002614+0.000029 test-mlogloss:1.152815+0.087523
## [324] train-mlogloss:0.002609+0.000028 test-mlogloss:1.152725+0.086869
## [325] train-mlogloss:0.002604+0.000028 test-mlogloss:1.153792+0.087572
## [326] train-mlogloss:0.002599+0.000028 test-mlogloss:1.153435+0.086761
## [327] train-mlogloss:0.002594+0.000027 test-mlogloss:1.154352+0.087029
## [328] train-mlogloss:0.002589+0.000028 test-mlogloss:1.154171+0.087866
## [329] train-mlogloss:0.002583+0.000028 test-mlogloss:1.154395+0.088056
## [330] train-mlogloss:0.002579+0.000028 test-mlogloss:1.153846+0.087311
## [331] train-mlogloss:0.002573+0.000027 test-mlogloss:1.154673+0.087603
## [332] train-mlogloss:0.002568+0.000027 test-mlogloss:1.154871+0.087459
## [333] train-mlogloss:0.002563+0.000027 test-mlogloss:1.155283+0.087172
## [334] train-mlogloss:0.002558+0.000027 test-mlogloss:1.155591+0.087219
## [335] train-mlogloss:0.002554+0.000028 test-mlogloss:1.156145+0.087796
## [336] train-mlogloss:0.002549+0.000027 test-mlogloss:1.156639+0.087132
## [337] train-mlogloss:0.002545+0.000028 test-mlogloss:1.157154+0.087261
## [338] train-mlogloss:0.002540+0.000027 test-mlogloss:1.157219+0.087972
## [339] train-mlogloss:0.002535+0.000027 test-mlogloss:1.158008+0.087678
## [340] train-mlogloss:0.002530+0.000027 test-mlogloss:1.158558+0.087537
## [341] train-mlogloss:0.002526+0.000028 test-mlogloss:1.158361+0.087426
## [342] train-mlogloss:0.002521+0.000027 test-mlogloss:1.158750+0.087569
## [343] train-mlogloss:0.002517+0.000027 test-mlogloss:1.158794+0.087807
## [344] train-mlogloss:0.002512+0.000028 test-mlogloss:1.158590+0.087362
## [345] train-mlogloss:0.002507+0.000027 test-mlogloss:1.159575+0.086942
## [346] train-mlogloss:0.002503+0.000027 test-mlogloss:1.159850+0.087537
## [347] train-mlogloss:0.002499+0.000027 test-mlogloss:1.159815+0.086997
## [348] train-mlogloss:0.002495+0.000027 test-mlogloss:1.160008+0.086634
## [349] train-mlogloss:0.002490+0.000028 test-mlogloss:1.160132+0.086251
## [350] train-mlogloss:0.002486+0.000028 test-mlogloss:1.160781+0.087432
## [351] train-mlogloss:0.002480+0.000027 test-mlogloss:1.161034+0.086160
## [352] train-mlogloss:0.002475+0.000027 test-mlogloss:1.162027+0.086235
## [353] train-mlogloss:0.002471+0.000027 test-mlogloss:1.162358+0.085912
## [354] train-mlogloss:0.002467+0.000027 test-mlogloss:1.161900+0.085629
## [355] train-mlogloss:0.002463+0.000026 test-mlogloss:1.161910+0.086946
## [356] train-mlogloss:0.002458+0.000027 test-mlogloss:1.162606+0.086836
## [357] train-mlogloss:0.002453+0.000026 test-mlogloss:1.162863+0.087388
## [358] train-mlogloss:0.002450+0.000027 test-mlogloss:1.163083+0.087693
## [359] train-mlogloss:0.002445+0.000027 test-mlogloss:1.163042+0.087821
## [360] train-mlogloss:0.002441+0.000028 test-mlogloss:1.163162+0.087833
## [361] train-mlogloss:0.002437+0.000027 test-mlogloss:1.163415+0.087733
## [362] train-mlogloss:0.002433+0.000028 test-mlogloss:1.163662+0.087676
## [363] train-mlogloss:0.002429+0.000028 test-mlogloss:1.163363+0.087669
## [364] train-mlogloss:0.002425+0.000028 test-mlogloss:1.163788+0.087960
## [365] train-mlogloss:0.002421+0.000028 test-mlogloss:1.163915+0.087229
## [366] train-mlogloss:0.002417+0.000027 test-mlogloss:1.163978+0.087271
## [367] train-mlogloss:0.002412+0.000028 test-mlogloss:1.164106+0.087852
## [368] train-mlogloss:0.002409+0.000027 test-mlogloss:1.164765+0.087741
## [369] train-mlogloss:0.002405+0.000027 test-mlogloss:1.165336+0.087869
## [370] train-mlogloss:0.002401+0.000028 test-mlogloss:1.165607+0.087842
## [371] train-mlogloss:0.002398+0.000028 test-mlogloss:1.166407+0.087824
## [372] train-mlogloss:0.002393+0.000028 test-mlogloss:1.166657+0.087205
## [373] train-mlogloss:0.002388+0.000028 test-mlogloss:1.167178+0.087355
## [374] train-mlogloss:0.002385+0.000028 test-mlogloss:1.167262+0.087924
## [375] train-mlogloss:0.002380+0.000028 test-mlogloss:1.167248+0.088084
## [376] train-mlogloss:0.002377+0.000029 test-mlogloss:1.167676+0.087206
## [377] train-mlogloss:0.002374+0.000029 test-mlogloss:1.168121+0.087308
## [378] train-mlogloss:0.002369+0.000028 test-mlogloss:1.168518+0.087479
## [379] train-mlogloss:0.002366+0.000028 test-mlogloss:1.168256+0.087579
## [380] train-mlogloss:0.002362+0.000027 test-mlogloss:1.168230+0.088231
## [381] train-mlogloss:0.002358+0.000027 test-mlogloss:1.167855+0.087757
## [382] train-mlogloss:0.002355+0.000027 test-mlogloss:1.168435+0.088133
## [383] train-mlogloss:0.002351+0.000027 test-mlogloss:1.168993+0.088300
## [384] train-mlogloss:0.002348+0.000028 test-mlogloss:1.168627+0.087235
## [385] train-mlogloss:0.002344+0.000028 test-mlogloss:1.169031+0.086664
## [386] train-mlogloss:0.002340+0.000027 test-mlogloss:1.169109+0.087696
## [387] train-mlogloss:0.002336+0.000027 test-mlogloss:1.168962+0.087197
## [388] train-mlogloss:0.002333+0.000027 test-mlogloss:1.169051+0.087724
## [389] train-mlogloss:0.002330+0.000027 test-mlogloss:1.168769+0.087687
## [390] train-mlogloss:0.002325+0.000028 test-mlogloss:1.169221+0.087547
## [391] train-mlogloss:0.002321+0.000027 test-mlogloss:1.169581+0.087703
## [392] train-mlogloss:0.002317+0.000027 test-mlogloss:1.169915+0.088334
## [393] train-mlogloss:0.002313+0.000026 test-mlogloss:1.170330+0.087944
## [394] train-mlogloss:0.002310+0.000027 test-mlogloss:1.170824+0.087944
## [395] train-mlogloss:0.002306+0.000026 test-mlogloss:1.171291+0.089219
## [396] train-mlogloss:0.002303+0.000026 test-mlogloss:1.171370+0.089451
## [397] train-mlogloss:0.002299+0.000026 test-mlogloss:1.171949+0.089579
## [398] train-mlogloss:0.002296+0.000025 test-mlogloss:1.172195+0.089905
## [399] train-mlogloss:0.002293+0.000025 test-mlogloss:1.172523+0.089549
## [400] train-mlogloss:0.002290+0.000024 test-mlogloss:1.172810+0.089805
## [401] train-mlogloss:0.002286+0.000024 test-mlogloss:1.172827+0.089407
## [402] train-mlogloss:0.002283+0.000024 test-mlogloss:1.171913+0.088987
## [403] train-mlogloss:0.002279+0.000025 test-mlogloss:1.172619+0.088605
## [404] train-mlogloss:0.002275+0.000025 test-mlogloss:1.173381+0.087795
## [405] train-mlogloss:0.002271+0.000023 test-mlogloss:1.173358+0.087118
## [406] train-mlogloss:0.002268+0.000023 test-mlogloss:1.174264+0.088196
## [407] train-mlogloss:0.002265+0.000024 test-mlogloss:1.173734+0.087542
## [408] train-mlogloss:0.002261+0.000024 test-mlogloss:1.174220+0.087714
## [409] train-mlogloss:0.002257+0.000024 test-mlogloss:1.175081+0.088152
## [410] train-mlogloss:0.002254+0.000024 test-mlogloss:1.174559+0.088401
## [411] train-mlogloss:0.002251+0.000024 test-mlogloss:1.175252+0.088180
## [412] train-mlogloss:0.002248+0.000025 test-mlogloss:1.175952+0.088380
## [413] train-mlogloss:0.002246+0.000025 test-mlogloss:1.176018+0.088063
## [414] train-mlogloss:0.002243+0.000025 test-mlogloss:1.176938+0.088198
## [415] train-mlogloss:0.002240+0.000026 test-mlogloss:1.176562+0.087828
## [416] train-mlogloss:0.002236+0.000027 test-mlogloss:1.176392+0.087943
## [417] train-mlogloss:0.002232+0.000027 test-mlogloss:1.176659+0.087884
## [418] train-mlogloss:0.002229+0.000027 test-mlogloss:1.177353+0.088528
## [419] train-mlogloss:0.002226+0.000027 test-mlogloss:1.177980+0.089027
## [420] train-mlogloss:0.002222+0.000027 test-mlogloss:1.178205+0.089039
## [421] train-mlogloss:0.002219+0.000027 test-mlogloss:1.177714+0.089543
## [422] train-mlogloss:0.002216+0.000026 test-mlogloss:1.178233+0.089307
## [423] train-mlogloss:0.002213+0.000026 test-mlogloss:1.178312+0.088614
## [424] train-mlogloss:0.002210+0.000026 test-mlogloss:1.178878+0.089125
## [425] train-mlogloss:0.002208+0.000026 test-mlogloss:1.179741+0.089466
## [426] train-mlogloss:0.002204+0.000026 test-mlogloss:1.179131+0.089080
## [427] train-mlogloss:0.002201+0.000026 test-mlogloss:1.179412+0.088659
## [428] train-mlogloss:0.002197+0.000027 test-mlogloss:1.179594+0.089197
## [429] train-mlogloss:0.002194+0.000027 test-mlogloss:1.179790+0.088928
## [430] train-mlogloss:0.002192+0.000027 test-mlogloss:1.179805+0.088306
## [431] train-mlogloss:0.002189+0.000027 test-mlogloss:1.179444+0.088579
## [432] train-mlogloss:0.002186+0.000026 test-mlogloss:1.179418+0.088280
## [433] train-mlogloss:0.002183+0.000026 test-mlogloss:1.180565+0.089061
## [434] train-mlogloss:0.002181+0.000026 test-mlogloss:1.180377+0.089377
## [435] train-mlogloss:0.002178+0.000025 test-mlogloss:1.180489+0.088903
## [436] train-mlogloss:0.002175+0.000025 test-mlogloss:1.180739+0.087918
## [437] train-mlogloss:0.002173+0.000025 test-mlogloss:1.181082+0.087232
## [438] train-mlogloss:0.002170+0.000025 test-mlogloss:1.180549+0.087875
## [439] train-mlogloss:0.002167+0.000025 test-mlogloss:1.181260+0.088992
## [440] train-mlogloss:0.002164+0.000025 test-mlogloss:1.181253+0.088293
## [441] train-mlogloss:0.002161+0.000026 test-mlogloss:1.181850+0.089190
## [442] train-mlogloss:0.002158+0.000025 test-mlogloss:1.182431+0.089823
## [443] train-mlogloss:0.002154+0.000025 test-mlogloss:1.182886+0.089580
## [444] train-mlogloss:0.002151+0.000025 test-mlogloss:1.183202+0.089347
## [445] train-mlogloss:0.002149+0.000025 test-mlogloss:1.183500+0.089209
## [446] train-mlogloss:0.002145+0.000024 test-mlogloss:1.183346+0.089011
## [447] train-mlogloss:0.002143+0.000024 test-mlogloss:1.182936+0.088436
## [448] train-mlogloss:0.002141+0.000024 test-mlogloss:1.182830+0.088739
## [449] train-mlogloss:0.002138+0.000024 test-mlogloss:1.182485+0.087942
## [450] train-mlogloss:0.002135+0.000024 test-mlogloss:1.183497+0.088331
## [451] train-mlogloss:0.002133+0.000024 test-mlogloss:1.183775+0.089081
## [452] train-mlogloss:0.002130+0.000023 test-mlogloss:1.183258+0.088474
## [453] train-mlogloss:0.002128+0.000024 test-mlogloss:1.183299+0.088232
## [454] train-mlogloss:0.002126+0.000024 test-mlogloss:1.184763+0.088776
## [455] train-mlogloss:0.002122+0.000023 test-mlogloss:1.184554+0.088415
## [456] train-mlogloss:0.002119+0.000024 test-mlogloss:1.185550+0.088734
## [457] train-mlogloss:0.002116+0.000024 test-mlogloss:1.186215+0.088500
## [458] train-mlogloss:0.002113+0.000023 test-mlogloss:1.186566+0.088741
## [459] train-mlogloss:0.002111+0.000023 test-mlogloss:1.186815+0.089028
## [460] train-mlogloss:0.002108+0.000024 test-mlogloss:1.186251+0.089131
## [461] train-mlogloss:0.002105+0.000024 test-mlogloss:1.186799+0.090060
## [462] train-mlogloss:0.002103+0.000023 test-mlogloss:1.186335+0.089854
## [463] train-mlogloss:0.002101+0.000024 test-mlogloss:1.187185+0.089661
## [464] train-mlogloss:0.002098+0.000023 test-mlogloss:1.187327+0.090033
## [465] train-mlogloss:0.002096+0.000024 test-mlogloss:1.187951+0.090039
## [466] train-mlogloss:0.002093+0.000024 test-mlogloss:1.187832+0.090306
## [467] train-mlogloss:0.002090+0.000023 test-mlogloss:1.187884+0.090404
## [468] train-mlogloss:0.002087+0.000023 test-mlogloss:1.187723+0.090791
## [469] train-mlogloss:0.002084+0.000023 test-mlogloss:1.188084+0.091173
## [470] train-mlogloss:0.002082+0.000023 test-mlogloss:1.188148+0.091483
## [471] train-mlogloss:0.002079+0.000023 test-mlogloss:1.189266+0.091195
## [472] train-mlogloss:0.002076+0.000023 test-mlogloss:1.189404+0.091468
## [473] train-mlogloss:0.002074+0.000023 test-mlogloss:1.189236+0.090840
## [474] train-mlogloss:0.002071+0.000023 test-mlogloss:1.188748+0.090317
## [475] train-mlogloss:0.002069+0.000024 test-mlogloss:1.189234+0.090672
## [476] train-mlogloss:0.002067+0.000023 test-mlogloss:1.189493+0.091152
## [477] train-mlogloss:0.002065+0.000023 test-mlogloss:1.189441+0.091962
## [478] train-mlogloss:0.002062+0.000023 test-mlogloss:1.189960+0.091904
## [479] train-mlogloss:0.002059+0.000023 test-mlogloss:1.190827+0.091651
## [480] train-mlogloss:0.002057+0.000024 test-mlogloss:1.190411+0.091301
## [481] train-mlogloss:0.002055+0.000023 test-mlogloss:1.190830+0.090847
## [482] train-mlogloss:0.002052+0.000024 test-mlogloss:1.191312+0.091507
## [483] train-mlogloss:0.002049+0.000023 test-mlogloss:1.191198+0.091346
## [484] train-mlogloss:0.002046+0.000024 test-mlogloss:1.191308+0.091729
## [485] train-mlogloss:0.002043+0.000024 test-mlogloss:1.191111+0.090788
## [486] train-mlogloss:0.002041+0.000024 test-mlogloss:1.190911+0.091080
## [487] train-mlogloss:0.002038+0.000024 test-mlogloss:1.190720+0.090921
## [488] train-mlogloss:0.002035+0.000024 test-mlogloss:1.191042+0.090422
## [489] train-mlogloss:0.002032+0.000024 test-mlogloss:1.190983+0.091256
## [490] train-mlogloss:0.002030+0.000024 test-mlogloss:1.191325+0.090800
## [491] train-mlogloss:0.002028+0.000024 test-mlogloss:1.191413+0.091603
## [492] train-mlogloss:0.002025+0.000024 test-mlogloss:1.191639+0.092205
## [493] train-mlogloss:0.002022+0.000024 test-mlogloss:1.191807+0.092805
## [494] train-mlogloss:0.002020+0.000024 test-mlogloss:1.192165+0.092688
## [495] train-mlogloss:0.002018+0.000024 test-mlogloss:1.192345+0.093236
## [496] train-mlogloss:0.002016+0.000024 test-mlogloss:1.192559+0.092663
## [497] train-mlogloss:0.002013+0.000023 test-mlogloss:1.193789+0.092747
## [498] train-mlogloss:0.002011+0.000023 test-mlogloss:1.193631+0.092347
## [499] train-mlogloss:0.002009+0.000024 test-mlogloss:1.193280+0.092773
## [500] train-mlogloss:0.002007+0.000024 test-mlogloss:1.193507+0.092551
## [1] train-mlogloss:0.524279+0.003861 test-mlogloss:0.548721+0.011473
## [2] train-mlogloss:0.503556+0.004263 test-mlogloss:0.545526+0.013177
## [3] train-mlogloss:0.492868+0.004614 test-mlogloss:0.550098+0.012296
## [4] train-mlogloss:0.481530+0.003965 test-mlogloss:0.554177+0.014439
## [5] train-mlogloss:0.472628+0.002182 test-mlogloss:0.560851+0.014651
## [6] train-mlogloss:0.461937+0.002263 test-mlogloss:0.568292+0.014754
## [7] train-mlogloss:0.451805+0.003531 test-mlogloss:0.573920+0.016657
## [8] train-mlogloss:0.442755+0.003729 test-mlogloss:0.577816+0.014149
## [9] train-mlogloss:0.432811+0.003250 test-mlogloss:0.581652+0.016967
## [10] train-mlogloss:0.424612+0.004172 test-mlogloss:0.588304+0.018736
## [11] train-mlogloss:0.416194+0.003866 test-mlogloss:0.595019+0.020011
## [12] train-mlogloss:0.407231+0.004995 test-mlogloss:0.598991+0.018723
## [13] train-mlogloss:0.398428+0.004342 test-mlogloss:0.603434+0.016638
## [14] train-mlogloss:0.390817+0.003622 test-mlogloss:0.609546+0.016601
## [15] train-mlogloss:0.385087+0.004260 test-mlogloss:0.611993+0.017960
## [16] train-mlogloss:0.377032+0.005295 test-mlogloss:0.616201+0.018735
## [17] train-mlogloss:0.369961+0.005077 test-mlogloss:0.622336+0.021116
## [18] train-mlogloss:0.362155+0.005902 test-mlogloss:0.627641+0.024297
## [19] train-mlogloss:0.355372+0.005564 test-mlogloss:0.632330+0.026306
## [20] train-mlogloss:0.347957+0.005725 test-mlogloss:0.639675+0.028923
## [21] train-mlogloss:0.341200+0.004276 test-mlogloss:0.643068+0.028416
## [22] train-mlogloss:0.335405+0.004190 test-mlogloss:0.649065+0.025449
## [23] train-mlogloss:0.328832+0.002726 test-mlogloss:0.652996+0.026617
## [24] train-mlogloss:0.321768+0.002911 test-mlogloss:0.657658+0.027533
## [25] train-mlogloss:0.315784+0.002773 test-mlogloss:0.662825+0.027853
## [26] train-mlogloss:0.309060+0.003577 test-mlogloss:0.667091+0.030766
## [27] train-mlogloss:0.303445+0.003274 test-mlogloss:0.669506+0.030963
## [28] train-mlogloss:0.297502+0.003131 test-mlogloss:0.674619+0.032467
## [29] train-mlogloss:0.291739+0.002916 test-mlogloss:0.678589+0.036925
## [30] train-mlogloss:0.285756+0.003531 test-mlogloss:0.682446+0.035418
## [31] train-mlogloss:0.280667+0.003641 test-mlogloss:0.686854+0.036190
## [32] train-mlogloss:0.275731+0.002857 test-mlogloss:0.689535+0.036045
## [33] train-mlogloss:0.270026+0.002958 test-mlogloss:0.693957+0.036759
## [34] train-mlogloss:0.264789+0.003350 test-mlogloss:0.696432+0.036159
## [35] train-mlogloss:0.259246+0.003501 test-mlogloss:0.703506+0.034978
## [36] train-mlogloss:0.254760+0.002972 test-mlogloss:0.706454+0.037318
## [37] train-mlogloss:0.249289+0.003275 test-mlogloss:0.711043+0.036914
## [38] train-mlogloss:0.244136+0.002929 test-mlogloss:0.716602+0.039115
## [39] train-mlogloss:0.238813+0.003494 test-mlogloss:0.722159+0.039514
## [40] train-mlogloss:0.233432+0.003395 test-mlogloss:0.726929+0.040009
## [41] train-mlogloss:0.228841+0.002696 test-mlogloss:0.730494+0.041354
## [42] train-mlogloss:0.223944+0.002672 test-mlogloss:0.733632+0.042816
## [43] train-mlogloss:0.218934+0.002813 test-mlogloss:0.737457+0.044073
## [44] train-mlogloss:0.214050+0.003414 test-mlogloss:0.739507+0.045868
## [45] train-mlogloss:0.209875+0.003348 test-mlogloss:0.747471+0.047140
## [46] train-mlogloss:0.205604+0.003365 test-mlogloss:0.750971+0.048498
## [47] train-mlogloss:0.201615+0.003323 test-mlogloss:0.754861+0.047555
## [48] train-mlogloss:0.197228+0.003256 test-mlogloss:0.761052+0.047299
## [49] train-mlogloss:0.193106+0.003666 test-mlogloss:0.766919+0.045243
## [50] train-mlogloss:0.188934+0.003272 test-mlogloss:0.769987+0.047240
## [51] train-mlogloss:0.184834+0.002981 test-mlogloss:0.774549+0.050549
## [52] train-mlogloss:0.181298+0.002484 test-mlogloss:0.774181+0.050306
## [53] train-mlogloss:0.177788+0.002274 test-mlogloss:0.777845+0.048266
## [54] train-mlogloss:0.173634+0.002832 test-mlogloss:0.780336+0.047578
## [55] train-mlogloss:0.170031+0.003333 test-mlogloss:0.787338+0.046642
## [56] train-mlogloss:0.166680+0.003648 test-mlogloss:0.790760+0.046398
## [57] train-mlogloss:0.162679+0.003514 test-mlogloss:0.795580+0.049232
## [58] train-mlogloss:0.159355+0.003489 test-mlogloss:0.798535+0.044827
## [59] train-mlogloss:0.156129+0.002930 test-mlogloss:0.803249+0.045154
## [60] train-mlogloss:0.152886+0.003183 test-mlogloss:0.802077+0.045204
## [61] train-mlogloss:0.149146+0.003242 test-mlogloss:0.804649+0.042759
## [62] train-mlogloss:0.146197+0.003436 test-mlogloss:0.808998+0.045065
## [63] train-mlogloss:0.143429+0.002948 test-mlogloss:0.811321+0.044945
## [64] train-mlogloss:0.140424+0.002923 test-mlogloss:0.816496+0.045414
## [65] train-mlogloss:0.137581+0.002835 test-mlogloss:0.818929+0.047573
## [66] train-mlogloss:0.135104+0.002802 test-mlogloss:0.824039+0.050306
## [67] train-mlogloss:0.132767+0.003037 test-mlogloss:0.826163+0.050690
## [68] train-mlogloss:0.130259+0.002915 test-mlogloss:0.828304+0.052691
## [69] train-mlogloss:0.127945+0.003350 test-mlogloss:0.834010+0.055243
## [70] train-mlogloss:0.125372+0.003362 test-mlogloss:0.838628+0.058222
## [71] train-mlogloss:0.123009+0.003377 test-mlogloss:0.839817+0.058684
## [72] train-mlogloss:0.120473+0.003329 test-mlogloss:0.843482+0.059529
## [73] train-mlogloss:0.118219+0.002909 test-mlogloss:0.847211+0.057929
## [74] train-mlogloss:0.115695+0.003208 test-mlogloss:0.848836+0.058108
## [75] train-mlogloss:0.113416+0.002897 test-mlogloss:0.851662+0.059885
## [76] train-mlogloss:0.111437+0.002720 test-mlogloss:0.855651+0.059335
## [77] train-mlogloss:0.109301+0.002207 test-mlogloss:0.860132+0.058028
## [78] train-mlogloss:0.107542+0.002364 test-mlogloss:0.863688+0.057110
## [79] train-mlogloss:0.105708+0.002084 test-mlogloss:0.864495+0.055909
## [80] train-mlogloss:0.103896+0.001915 test-mlogloss:0.869070+0.055840
## [81] train-mlogloss:0.102117+0.001987 test-mlogloss:0.872780+0.055667
## [82] train-mlogloss:0.100289+0.001880 test-mlogloss:0.874307+0.057420
## [83] train-mlogloss:0.098286+0.001726 test-mlogloss:0.877529+0.059728
## [84] train-mlogloss:0.096865+0.001692 test-mlogloss:0.880301+0.060918
## [85] train-mlogloss:0.095411+0.001728 test-mlogloss:0.881321+0.061940
## [86] train-mlogloss:0.093984+0.001659 test-mlogloss:0.883883+0.064710
## [87] train-mlogloss:0.092175+0.001732 test-mlogloss:0.886151+0.065193
## [88] train-mlogloss:0.090357+0.001756 test-mlogloss:0.888288+0.064443
## [89] train-mlogloss:0.088555+0.001738 test-mlogloss:0.891660+0.063315
## [90] train-mlogloss:0.086923+0.001690 test-mlogloss:0.893531+0.063636
## [91] train-mlogloss:0.085224+0.001321 test-mlogloss:0.896161+0.062991
## [92] train-mlogloss:0.083671+0.001313 test-mlogloss:0.898012+0.063769
## [93] train-mlogloss:0.082192+0.001358 test-mlogloss:0.902053+0.061263
## [94] train-mlogloss:0.080637+0.001256 test-mlogloss:0.903964+0.064173
## [95] train-mlogloss:0.079168+0.001166 test-mlogloss:0.904448+0.064913
## [96] train-mlogloss:0.077673+0.001283 test-mlogloss:0.907332+0.064081
## [97] train-mlogloss:0.076207+0.001253 test-mlogloss:0.908308+0.066301
## [98] train-mlogloss:0.074756+0.001512 test-mlogloss:0.909100+0.069203
## [99] train-mlogloss:0.073215+0.001302 test-mlogloss:0.912314+0.069649
## [100] train-mlogloss:0.071588+0.001134 test-mlogloss:0.917125+0.070137
## [101] train-mlogloss:0.070394+0.001208 test-mlogloss:0.920923+0.068829
## [102] train-mlogloss:0.068913+0.001366 test-mlogloss:0.923143+0.070762
## [103] train-mlogloss:0.067744+0.001340 test-mlogloss:0.926197+0.069674
## [104] train-mlogloss:0.066583+0.001302 test-mlogloss:0.930095+0.068857
## [105] train-mlogloss:0.065474+0.001297 test-mlogloss:0.933224+0.068543
## [106] train-mlogloss:0.064448+0.001202 test-mlogloss:0.935167+0.070820
## [107] train-mlogloss:0.063276+0.001204 test-mlogloss:0.935698+0.069782
## [108] train-mlogloss:0.062333+0.001288 test-mlogloss:0.938048+0.069666
## [109] train-mlogloss:0.061085+0.001194 test-mlogloss:0.940194+0.068569
## [110] train-mlogloss:0.059983+0.001327 test-mlogloss:0.942886+0.068129
## [111] train-mlogloss:0.058786+0.001482 test-mlogloss:0.946238+0.069373
## [112] train-mlogloss:0.057677+0.001556 test-mlogloss:0.947875+0.068935
## [113] train-mlogloss:0.056676+0.001595 test-mlogloss:0.950380+0.072661
## [114] train-mlogloss:0.055574+0.001479 test-mlogloss:0.951801+0.072273
## [115] train-mlogloss:0.054574+0.001290 test-mlogloss:0.953539+0.072952
## [116] train-mlogloss:0.053473+0.001217 test-mlogloss:0.958564+0.071830
## [117] train-mlogloss:0.052538+0.001188 test-mlogloss:0.961994+0.072057
## [118] train-mlogloss:0.051606+0.001162 test-mlogloss:0.964960+0.074410
## [119] train-mlogloss:0.050696+0.001192 test-mlogloss:0.967544+0.073184
## [120] train-mlogloss:0.049871+0.001088 test-mlogloss:0.970045+0.072913
## [121] train-mlogloss:0.049020+0.001069 test-mlogloss:0.972277+0.072530
## [122] train-mlogloss:0.048411+0.001099 test-mlogloss:0.973229+0.072863
## [123] train-mlogloss:0.047527+0.001143 test-mlogloss:0.977384+0.073643
## [124] train-mlogloss:0.046715+0.001029 test-mlogloss:0.981320+0.072995
## [125] train-mlogloss:0.045970+0.001027 test-mlogloss:0.982196+0.072791
## [126] train-mlogloss:0.045324+0.001063 test-mlogloss:0.983734+0.074801
## [127] train-mlogloss:0.044601+0.001074 test-mlogloss:0.986140+0.074554
## [128] train-mlogloss:0.043832+0.001090 test-mlogloss:0.986182+0.074847
## [129] train-mlogloss:0.043149+0.000882 test-mlogloss:0.988944+0.074088
## [130] train-mlogloss:0.042616+0.000878 test-mlogloss:0.989817+0.074108
## [131] train-mlogloss:0.041764+0.000845 test-mlogloss:0.994384+0.073923
## [132] train-mlogloss:0.041186+0.000843 test-mlogloss:0.995308+0.075946
## [133] train-mlogloss:0.040545+0.000743 test-mlogloss:0.996464+0.077023
## [134] train-mlogloss:0.039976+0.000810 test-mlogloss:1.001194+0.077437
## [135] train-mlogloss:0.039449+0.000839 test-mlogloss:1.001858+0.076881
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## [137] train-mlogloss:0.038248+0.000893 test-mlogloss:1.007859+0.078464
## [138] train-mlogloss:0.037689+0.000836 test-mlogloss:1.009362+0.079433
## [139] train-mlogloss:0.037141+0.000822 test-mlogloss:1.011767+0.078759
## [140] train-mlogloss:0.036557+0.000734 test-mlogloss:1.015381+0.080250
## [141] train-mlogloss:0.036012+0.000714 test-mlogloss:1.017390+0.079513
## [142] train-mlogloss:0.035489+0.000593 test-mlogloss:1.018325+0.082892
## [143] train-mlogloss:0.034979+0.000633 test-mlogloss:1.022052+0.082253
## [144] train-mlogloss:0.034421+0.000616 test-mlogloss:1.024760+0.083161
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## [147] train-mlogloss:0.032975+0.000608 test-mlogloss:1.030823+0.082053
## [148] train-mlogloss:0.032530+0.000610 test-mlogloss:1.034896+0.082704
## [149] train-mlogloss:0.032107+0.000675 test-mlogloss:1.037195+0.084271
## [150] train-mlogloss:0.031607+0.000700 test-mlogloss:1.040499+0.083203
## [151] train-mlogloss:0.031142+0.000736 test-mlogloss:1.040777+0.085213
## [152] train-mlogloss:0.030731+0.000718 test-mlogloss:1.041325+0.085492
## [153] train-mlogloss:0.030375+0.000736 test-mlogloss:1.045156+0.083762
## [154] train-mlogloss:0.029994+0.000663 test-mlogloss:1.048484+0.082991
## [155] train-mlogloss:0.029640+0.000666 test-mlogloss:1.051398+0.083706
## [156] train-mlogloss:0.029257+0.000661 test-mlogloss:1.051684+0.079962
## [157] train-mlogloss:0.028848+0.000589 test-mlogloss:1.054218+0.078628
## [158] train-mlogloss:0.028481+0.000619 test-mlogloss:1.055806+0.078063
## [159] train-mlogloss:0.028080+0.000610 test-mlogloss:1.058908+0.078615
## [160] train-mlogloss:0.027700+0.000569 test-mlogloss:1.059443+0.078341
## [161] train-mlogloss:0.027325+0.000552 test-mlogloss:1.062098+0.078358
## [162] train-mlogloss:0.026972+0.000586 test-mlogloss:1.064945+0.078900
## [163] train-mlogloss:0.026670+0.000625 test-mlogloss:1.065486+0.077301
## [164] train-mlogloss:0.026316+0.000584 test-mlogloss:1.065291+0.075995
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## [166] train-mlogloss:0.025697+0.000539 test-mlogloss:1.068130+0.077507
## [167] train-mlogloss:0.025327+0.000552 test-mlogloss:1.069739+0.077081
## [168] train-mlogloss:0.025010+0.000520 test-mlogloss:1.070239+0.076148
## [169] train-mlogloss:0.024715+0.000545 test-mlogloss:1.071906+0.074843
## [170] train-mlogloss:0.024387+0.000532 test-mlogloss:1.072897+0.077249
## [171] train-mlogloss:0.024100+0.000500 test-mlogloss:1.073736+0.077544
## [172] train-mlogloss:0.023762+0.000492 test-mlogloss:1.075293+0.077510
## [173] train-mlogloss:0.023447+0.000467 test-mlogloss:1.077003+0.077987
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## [177] train-mlogloss:0.022346+0.000375 test-mlogloss:1.084793+0.078086
## [178] train-mlogloss:0.022072+0.000421 test-mlogloss:1.087133+0.079236
## [179] train-mlogloss:0.021776+0.000420 test-mlogloss:1.090332+0.080782
## [180] train-mlogloss:0.021528+0.000418 test-mlogloss:1.092201+0.079239
## [181] train-mlogloss:0.021220+0.000422 test-mlogloss:1.094470+0.079026
## [182] train-mlogloss:0.020973+0.000408 test-mlogloss:1.094825+0.078861
## [183] train-mlogloss:0.020691+0.000414 test-mlogloss:1.096624+0.076129
## [184] train-mlogloss:0.020410+0.000389 test-mlogloss:1.099021+0.076719
## [185] train-mlogloss:0.020195+0.000388 test-mlogloss:1.101598+0.078381
## [186] train-mlogloss:0.019931+0.000400 test-mlogloss:1.102499+0.079008
## [187] train-mlogloss:0.019683+0.000421 test-mlogloss:1.104921+0.080454
## [188] train-mlogloss:0.019462+0.000421 test-mlogloss:1.105899+0.081283
## [189] train-mlogloss:0.019243+0.000401 test-mlogloss:1.107089+0.082274
## [190] train-mlogloss:0.019063+0.000397 test-mlogloss:1.108042+0.081398
## [191] train-mlogloss:0.018839+0.000376 test-mlogloss:1.108939+0.082706
## [192] train-mlogloss:0.018635+0.000367 test-mlogloss:1.110124+0.081546
## [193] train-mlogloss:0.018438+0.000344 test-mlogloss:1.110857+0.080758
## [194] train-mlogloss:0.018270+0.000337 test-mlogloss:1.113883+0.080558
## [195] train-mlogloss:0.018073+0.000394 test-mlogloss:1.116964+0.080272
## [196] train-mlogloss:0.017862+0.000382 test-mlogloss:1.118671+0.080857
## [197] train-mlogloss:0.017664+0.000395 test-mlogloss:1.120538+0.081722
## [198] train-mlogloss:0.017447+0.000402 test-mlogloss:1.122007+0.083687
## [199] train-mlogloss:0.017283+0.000419 test-mlogloss:1.122732+0.084593
## [200] train-mlogloss:0.017124+0.000402 test-mlogloss:1.123826+0.083106
## [201] train-mlogloss:0.016945+0.000399 test-mlogloss:1.125337+0.082908
## [202] train-mlogloss:0.016754+0.000394 test-mlogloss:1.125409+0.083249
## [203] train-mlogloss:0.016598+0.000373 test-mlogloss:1.125932+0.083235
## [204] train-mlogloss:0.016445+0.000400 test-mlogloss:1.128925+0.083783
## [205] train-mlogloss:0.016271+0.000368 test-mlogloss:1.130834+0.082694
## [206] train-mlogloss:0.016088+0.000356 test-mlogloss:1.134590+0.083130
## [207] train-mlogloss:0.015933+0.000357 test-mlogloss:1.135870+0.082432
## [208] train-mlogloss:0.015772+0.000366 test-mlogloss:1.137435+0.082130
## [209] train-mlogloss:0.015625+0.000345 test-mlogloss:1.139705+0.082867
## [210] train-mlogloss:0.015474+0.000348 test-mlogloss:1.139871+0.082989
## [211] train-mlogloss:0.015310+0.000354 test-mlogloss:1.142218+0.084397
## [212] train-mlogloss:0.015178+0.000370 test-mlogloss:1.143121+0.083928
## [213] train-mlogloss:0.015011+0.000374 test-mlogloss:1.143612+0.083388
## [214] train-mlogloss:0.014870+0.000384 test-mlogloss:1.145341+0.083634
## [215] train-mlogloss:0.014731+0.000371 test-mlogloss:1.146662+0.082777
## [216] train-mlogloss:0.014608+0.000345 test-mlogloss:1.148702+0.083473
## [217] train-mlogloss:0.014482+0.000360 test-mlogloss:1.150069+0.082252
## [218] train-mlogloss:0.014354+0.000335 test-mlogloss:1.150700+0.080666
## [219] train-mlogloss:0.014195+0.000328 test-mlogloss:1.152354+0.080223
## [220] train-mlogloss:0.014094+0.000313 test-mlogloss:1.154377+0.081141
## [221] train-mlogloss:0.013990+0.000328 test-mlogloss:1.156241+0.081702
## [222] train-mlogloss:0.013886+0.000316 test-mlogloss:1.158237+0.081753
## [223] train-mlogloss:0.013764+0.000285 test-mlogloss:1.159867+0.080465
## [224] train-mlogloss:0.013649+0.000287 test-mlogloss:1.161276+0.081240
## [225] train-mlogloss:0.013517+0.000290 test-mlogloss:1.161878+0.080430
## [226] train-mlogloss:0.013364+0.000299 test-mlogloss:1.161006+0.080349
## [227] train-mlogloss:0.013239+0.000279 test-mlogloss:1.161913+0.079767
## [228] train-mlogloss:0.013129+0.000289 test-mlogloss:1.164391+0.079547
## [229] train-mlogloss:0.013009+0.000294 test-mlogloss:1.165000+0.080684
## [230] train-mlogloss:0.012894+0.000298 test-mlogloss:1.165812+0.080783
## [231] train-mlogloss:0.012779+0.000277 test-mlogloss:1.166208+0.081778
## [232] train-mlogloss:0.012667+0.000250 test-mlogloss:1.167528+0.082693
## [233] train-mlogloss:0.012564+0.000274 test-mlogloss:1.168674+0.083959
## [234] train-mlogloss:0.012461+0.000264 test-mlogloss:1.169106+0.083957
## [235] train-mlogloss:0.012348+0.000252 test-mlogloss:1.170648+0.082271
## [236] train-mlogloss:0.012231+0.000265 test-mlogloss:1.170488+0.083137
## [237] train-mlogloss:0.012138+0.000244 test-mlogloss:1.171855+0.083462
## [238] train-mlogloss:0.012026+0.000229 test-mlogloss:1.172946+0.084791
## [239] train-mlogloss:0.011932+0.000249 test-mlogloss:1.174008+0.085504
## [240] train-mlogloss:0.011833+0.000249 test-mlogloss:1.176228+0.086207
## [241] train-mlogloss:0.011730+0.000223 test-mlogloss:1.178076+0.085960
## [242] train-mlogloss:0.011632+0.000215 test-mlogloss:1.180380+0.084112
## [243] train-mlogloss:0.011537+0.000219 test-mlogloss:1.179807+0.082938
## [244] train-mlogloss:0.011438+0.000211 test-mlogloss:1.182254+0.083288
## [245] train-mlogloss:0.011333+0.000200 test-mlogloss:1.183289+0.084495
## [246] train-mlogloss:0.011249+0.000202 test-mlogloss:1.185861+0.083699
## [247] train-mlogloss:0.011172+0.000207 test-mlogloss:1.185255+0.084287
## [248] train-mlogloss:0.011078+0.000220 test-mlogloss:1.188606+0.084581
## [249] train-mlogloss:0.010999+0.000221 test-mlogloss:1.188798+0.084699
## [250] train-mlogloss:0.010914+0.000206 test-mlogloss:1.191157+0.085174
## [251] train-mlogloss:0.010825+0.000229 test-mlogloss:1.191570+0.085043
## [252] train-mlogloss:0.010731+0.000233 test-mlogloss:1.193170+0.085728
## [253] train-mlogloss:0.010665+0.000226 test-mlogloss:1.194684+0.084957
## [254] train-mlogloss:0.010593+0.000220 test-mlogloss:1.197181+0.085342
## [255] train-mlogloss:0.010521+0.000215 test-mlogloss:1.199670+0.088296
## [256] train-mlogloss:0.010443+0.000214 test-mlogloss:1.201286+0.087335
## [257] train-mlogloss:0.010370+0.000210 test-mlogloss:1.203310+0.085537
## [258] train-mlogloss:0.010312+0.000192 test-mlogloss:1.203436+0.086179
## [259] train-mlogloss:0.010236+0.000195 test-mlogloss:1.204082+0.086868
## [260] train-mlogloss:0.010160+0.000205 test-mlogloss:1.206638+0.086783
## [261] train-mlogloss:0.010098+0.000189 test-mlogloss:1.206385+0.086736
## [262] train-mlogloss:0.010034+0.000188 test-mlogloss:1.206930+0.087157
## [263] train-mlogloss:0.009961+0.000181 test-mlogloss:1.208108+0.086843
## [264] train-mlogloss:0.009892+0.000176 test-mlogloss:1.207892+0.085390
## [265] train-mlogloss:0.009818+0.000195 test-mlogloss:1.207806+0.085209
## [266] train-mlogloss:0.009735+0.000207 test-mlogloss:1.210841+0.085988
## [267] train-mlogloss:0.009669+0.000201 test-mlogloss:1.211715+0.085234
## [268] train-mlogloss:0.009594+0.000190 test-mlogloss:1.213856+0.085346
## [269] train-mlogloss:0.009519+0.000169 test-mlogloss:1.215251+0.085877
## [270] train-mlogloss:0.009446+0.000167 test-mlogloss:1.216059+0.085702
## [271] train-mlogloss:0.009380+0.000152 test-mlogloss:1.217675+0.085771
## [272] train-mlogloss:0.009311+0.000150 test-mlogloss:1.218580+0.085625
## [273] train-mlogloss:0.009238+0.000146 test-mlogloss:1.218876+0.086388
## [274] train-mlogloss:0.009176+0.000129 test-mlogloss:1.220209+0.085229
## [275] train-mlogloss:0.009112+0.000126 test-mlogloss:1.221754+0.084304
## [276] train-mlogloss:0.009041+0.000120 test-mlogloss:1.223628+0.084833
## [277] train-mlogloss:0.008980+0.000137 test-mlogloss:1.224113+0.085266
## [278] train-mlogloss:0.008917+0.000152 test-mlogloss:1.225321+0.084996
## [279] train-mlogloss:0.008845+0.000149 test-mlogloss:1.224969+0.085340
## [280] train-mlogloss:0.008789+0.000153 test-mlogloss:1.224690+0.085869
## [281] train-mlogloss:0.008728+0.000164 test-mlogloss:1.224415+0.085658
## [282] train-mlogloss:0.008663+0.000173 test-mlogloss:1.224164+0.085852
## [283] train-mlogloss:0.008591+0.000167 test-mlogloss:1.226052+0.086234
## [284] train-mlogloss:0.008527+0.000178 test-mlogloss:1.226309+0.086082
## [285] train-mlogloss:0.008464+0.000180 test-mlogloss:1.227155+0.086324
## [286] train-mlogloss:0.008407+0.000176 test-mlogloss:1.229027+0.086566
## [287] train-mlogloss:0.008349+0.000175 test-mlogloss:1.229408+0.085836
## [288] train-mlogloss:0.008277+0.000173 test-mlogloss:1.231364+0.086125
## [289] train-mlogloss:0.008228+0.000167 test-mlogloss:1.232473+0.084381
## [290] train-mlogloss:0.008178+0.000169 test-mlogloss:1.234570+0.086005
## [291] train-mlogloss:0.008133+0.000163 test-mlogloss:1.233910+0.085704
## [292] train-mlogloss:0.008083+0.000157 test-mlogloss:1.235068+0.087165
## [293] train-mlogloss:0.008037+0.000167 test-mlogloss:1.236878+0.087909
## [294] train-mlogloss:0.007996+0.000174 test-mlogloss:1.237153+0.087514
## [295] train-mlogloss:0.007940+0.000170 test-mlogloss:1.238005+0.088075
## [296] train-mlogloss:0.007897+0.000167 test-mlogloss:1.238267+0.087490
## [297] train-mlogloss:0.007850+0.000166 test-mlogloss:1.238797+0.087212
## [298] train-mlogloss:0.007808+0.000164 test-mlogloss:1.240377+0.086372
## [299] train-mlogloss:0.007762+0.000158 test-mlogloss:1.241266+0.086544
## [300] train-mlogloss:0.007715+0.000152 test-mlogloss:1.242511+0.087160
## [301] train-mlogloss:0.007668+0.000158 test-mlogloss:1.242637+0.087373
## [302] train-mlogloss:0.007612+0.000166 test-mlogloss:1.243996+0.086680
## [303] train-mlogloss:0.007560+0.000170 test-mlogloss:1.245527+0.085451
## [304] train-mlogloss:0.007513+0.000164 test-mlogloss:1.247156+0.085105
## [305] train-mlogloss:0.007473+0.000165 test-mlogloss:1.249188+0.086085
## [306] train-mlogloss:0.007423+0.000162 test-mlogloss:1.250059+0.085366
## [307] train-mlogloss:0.007381+0.000164 test-mlogloss:1.250464+0.085724
## [308] train-mlogloss:0.007340+0.000156 test-mlogloss:1.251700+0.085598
## [309] train-mlogloss:0.007298+0.000159 test-mlogloss:1.252151+0.085673
## [310] train-mlogloss:0.007252+0.000162 test-mlogloss:1.253164+0.086084
## [311] train-mlogloss:0.007210+0.000165 test-mlogloss:1.252912+0.085594
## [312] train-mlogloss:0.007169+0.000164 test-mlogloss:1.254763+0.084497
## [313] train-mlogloss:0.007130+0.000166 test-mlogloss:1.256911+0.085485
## [314] train-mlogloss:0.007098+0.000165 test-mlogloss:1.257199+0.083639
## [315] train-mlogloss:0.007062+0.000155 test-mlogloss:1.259091+0.084513
## [316] train-mlogloss:0.007017+0.000154 test-mlogloss:1.260061+0.084400
## [317] train-mlogloss:0.006968+0.000151 test-mlogloss:1.260996+0.085303
## [318] train-mlogloss:0.006927+0.000152 test-mlogloss:1.262234+0.085260
## [319] train-mlogloss:0.006890+0.000150 test-mlogloss:1.263424+0.085924
## [320] train-mlogloss:0.006853+0.000152 test-mlogloss:1.264170+0.085496
## [321] train-mlogloss:0.006814+0.000149 test-mlogloss:1.265388+0.087199
## [322] train-mlogloss:0.006769+0.000151 test-mlogloss:1.265333+0.086415
## [323] train-mlogloss:0.006733+0.000155 test-mlogloss:1.265828+0.085466
## [324] train-mlogloss:0.006700+0.000155 test-mlogloss:1.268037+0.085505
## [325] train-mlogloss:0.006667+0.000154 test-mlogloss:1.269763+0.086634
## [326] train-mlogloss:0.006625+0.000151 test-mlogloss:1.269858+0.085827
## [327] train-mlogloss:0.006589+0.000158 test-mlogloss:1.270500+0.086754
## [328] train-mlogloss:0.006558+0.000157 test-mlogloss:1.272155+0.087965
## [329] train-mlogloss:0.006527+0.000156 test-mlogloss:1.273041+0.088872
## [330] train-mlogloss:0.006493+0.000155 test-mlogloss:1.274879+0.089492
## [331] train-mlogloss:0.006462+0.000152 test-mlogloss:1.275610+0.088733
## [332] train-mlogloss:0.006424+0.000153 test-mlogloss:1.276043+0.089776
## [333] train-mlogloss:0.006391+0.000149 test-mlogloss:1.276996+0.089604
## [334] train-mlogloss:0.006360+0.000143 test-mlogloss:1.278130+0.091611
## [335] train-mlogloss:0.006329+0.000142 test-mlogloss:1.279483+0.090488
## [336] train-mlogloss:0.006302+0.000135 test-mlogloss:1.280055+0.090749
## [337] train-mlogloss:0.006275+0.000138 test-mlogloss:1.281435+0.090686
## [338] train-mlogloss:0.006243+0.000134 test-mlogloss:1.283410+0.091607
## [339] train-mlogloss:0.006211+0.000133 test-mlogloss:1.284197+0.091016
## [340] train-mlogloss:0.006176+0.000134 test-mlogloss:1.284227+0.091113
## [341] train-mlogloss:0.006135+0.000137 test-mlogloss:1.286185+0.092330
## [342] train-mlogloss:0.006097+0.000128 test-mlogloss:1.285794+0.090674
## [343] train-mlogloss:0.006063+0.000125 test-mlogloss:1.285902+0.090634
## [344] train-mlogloss:0.006032+0.000124 test-mlogloss:1.286353+0.090860
## [345] train-mlogloss:0.006009+0.000126 test-mlogloss:1.287619+0.090524
## [346] train-mlogloss:0.005978+0.000122 test-mlogloss:1.287065+0.090515
## [347] train-mlogloss:0.005948+0.000115 test-mlogloss:1.289834+0.091002
## [348] train-mlogloss:0.005914+0.000117 test-mlogloss:1.291177+0.091118
## [349] train-mlogloss:0.005884+0.000118 test-mlogloss:1.292436+0.091377
## [350] train-mlogloss:0.005847+0.000111 test-mlogloss:1.292785+0.091537
## [351] train-mlogloss:0.005815+0.000110 test-mlogloss:1.293671+0.091200
## [352] train-mlogloss:0.005785+0.000106 test-mlogloss:1.292914+0.091127
## [353] train-mlogloss:0.005758+0.000105 test-mlogloss:1.292814+0.091379
## [354] train-mlogloss:0.005737+0.000105 test-mlogloss:1.293953+0.091595
## [355] train-mlogloss:0.005714+0.000108 test-mlogloss:1.294295+0.092093
## [356] train-mlogloss:0.005691+0.000103 test-mlogloss:1.295012+0.091871
## [357] train-mlogloss:0.005655+0.000099 test-mlogloss:1.296230+0.091352
## [358] train-mlogloss:0.005628+0.000098 test-mlogloss:1.296604+0.091377
## [359] train-mlogloss:0.005604+0.000086 test-mlogloss:1.296431+0.091745
## [360] train-mlogloss:0.005576+0.000086 test-mlogloss:1.297394+0.090693
## [361] train-mlogloss:0.005551+0.000087 test-mlogloss:1.297883+0.091652
## [362] train-mlogloss:0.005531+0.000087 test-mlogloss:1.299011+0.091389
## [363] train-mlogloss:0.005499+0.000089 test-mlogloss:1.300289+0.090215
## [364] train-mlogloss:0.005476+0.000093 test-mlogloss:1.300697+0.090794
## [365] train-mlogloss:0.005452+0.000091 test-mlogloss:1.301502+0.091048
## [366] train-mlogloss:0.005423+0.000100 test-mlogloss:1.301671+0.090165
## [367] train-mlogloss:0.005401+0.000101 test-mlogloss:1.302248+0.089870
## [368] train-mlogloss:0.005374+0.000102 test-mlogloss:1.303804+0.089053
## [369] train-mlogloss:0.005356+0.000104 test-mlogloss:1.304937+0.089081
## [370] train-mlogloss:0.005329+0.000108 test-mlogloss:1.305222+0.088931
## [371] train-mlogloss:0.005304+0.000105 test-mlogloss:1.304934+0.089292
## [372] train-mlogloss:0.005286+0.000105 test-mlogloss:1.306208+0.089704
## [373] train-mlogloss:0.005264+0.000103 test-mlogloss:1.306828+0.089792
## [374] train-mlogloss:0.005242+0.000104 test-mlogloss:1.308246+0.090358
## [375] train-mlogloss:0.005222+0.000104 test-mlogloss:1.308539+0.089339
## [376] train-mlogloss:0.005197+0.000098 test-mlogloss:1.309352+0.089545
## [377] train-mlogloss:0.005177+0.000100 test-mlogloss:1.309703+0.089917
## [378] train-mlogloss:0.005156+0.000099 test-mlogloss:1.310018+0.090056
## [379] train-mlogloss:0.005130+0.000100 test-mlogloss:1.311431+0.090264
## [380] train-mlogloss:0.005109+0.000097 test-mlogloss:1.312276+0.090112
## [381] train-mlogloss:0.005085+0.000095 test-mlogloss:1.312721+0.090464
## [382] train-mlogloss:0.005066+0.000098 test-mlogloss:1.314348+0.090630
## [383] train-mlogloss:0.005047+0.000102 test-mlogloss:1.314375+0.090257
## [384] train-mlogloss:0.005026+0.000101 test-mlogloss:1.314768+0.089283
## [385] train-mlogloss:0.005009+0.000102 test-mlogloss:1.315755+0.089227
## [386] train-mlogloss:0.004990+0.000103 test-mlogloss:1.315685+0.088701
## [387] train-mlogloss:0.004970+0.000106 test-mlogloss:1.316833+0.089082
## [388] train-mlogloss:0.004950+0.000107 test-mlogloss:1.317004+0.088951
## [389] train-mlogloss:0.004927+0.000107 test-mlogloss:1.316825+0.089246
## [390] train-mlogloss:0.004909+0.000105 test-mlogloss:1.317650+0.089207
## [391] train-mlogloss:0.004887+0.000110 test-mlogloss:1.320316+0.089215
## [392] train-mlogloss:0.004871+0.000113 test-mlogloss:1.319913+0.090473
## [393] train-mlogloss:0.004847+0.000114 test-mlogloss:1.321873+0.091354
## [394] train-mlogloss:0.004827+0.000111 test-mlogloss:1.322044+0.090821
## [395] train-mlogloss:0.004808+0.000112 test-mlogloss:1.322946+0.089895
## [396] train-mlogloss:0.004789+0.000108 test-mlogloss:1.323193+0.090616
## [397] train-mlogloss:0.004771+0.000104 test-mlogloss:1.323375+0.091479
## [398] train-mlogloss:0.004748+0.000105 test-mlogloss:1.324678+0.091928
## [399] train-mlogloss:0.004730+0.000103 test-mlogloss:1.325317+0.091961
## [400] train-mlogloss:0.004716+0.000103 test-mlogloss:1.325786+0.091708
## [401] train-mlogloss:0.004696+0.000102 test-mlogloss:1.326204+0.091611
## [402] train-mlogloss:0.004679+0.000098 test-mlogloss:1.328026+0.091843
## [403] train-mlogloss:0.004660+0.000102 test-mlogloss:1.328635+0.090736
## [404] train-mlogloss:0.004639+0.000099 test-mlogloss:1.328502+0.091315
## [405] train-mlogloss:0.004621+0.000096 test-mlogloss:1.329027+0.091238
## [406] train-mlogloss:0.004605+0.000096 test-mlogloss:1.330997+0.091287
## [407] train-mlogloss:0.004585+0.000097 test-mlogloss:1.331106+0.090287
## [408] train-mlogloss:0.004571+0.000095 test-mlogloss:1.330782+0.089814
## [409] train-mlogloss:0.004554+0.000093 test-mlogloss:1.331100+0.089629
## [410] train-mlogloss:0.004536+0.000089 test-mlogloss:1.331370+0.089562
## [411] train-mlogloss:0.004516+0.000088 test-mlogloss:1.332124+0.090090
## [412] train-mlogloss:0.004500+0.000085 test-mlogloss:1.332821+0.090364
## [413] train-mlogloss:0.004483+0.000081 test-mlogloss:1.333635+0.089224
## [414] train-mlogloss:0.004467+0.000083 test-mlogloss:1.334249+0.090389
## [415] train-mlogloss:0.004453+0.000083 test-mlogloss:1.335313+0.090545
## [416] train-mlogloss:0.004433+0.000085 test-mlogloss:1.336602+0.090860
## [417] train-mlogloss:0.004420+0.000084 test-mlogloss:1.336309+0.091119
## [418] train-mlogloss:0.004400+0.000088 test-mlogloss:1.336839+0.090807
## [419] train-mlogloss:0.004385+0.000086 test-mlogloss:1.337726+0.091513
## [420] train-mlogloss:0.004371+0.000085 test-mlogloss:1.337415+0.090675
## [421] train-mlogloss:0.004354+0.000089 test-mlogloss:1.338434+0.091592
## [422] train-mlogloss:0.004341+0.000090 test-mlogloss:1.338033+0.090734
## [423] train-mlogloss:0.004321+0.000088 test-mlogloss:1.338868+0.089835
## [424] train-mlogloss:0.004306+0.000085 test-mlogloss:1.339125+0.090316
## [425] train-mlogloss:0.004293+0.000086 test-mlogloss:1.340398+0.090259
## [426] train-mlogloss:0.004276+0.000090 test-mlogloss:1.341233+0.090864
## [427] train-mlogloss:0.004258+0.000091 test-mlogloss:1.341785+0.091210
## [428] train-mlogloss:0.004246+0.000089 test-mlogloss:1.342267+0.091349
## [429] train-mlogloss:0.004232+0.000086 test-mlogloss:1.342540+0.091001
## [430] train-mlogloss:0.004218+0.000092 test-mlogloss:1.343983+0.091284
## [431] train-mlogloss:0.004205+0.000091 test-mlogloss:1.344802+0.090703
## [432] train-mlogloss:0.004193+0.000093 test-mlogloss:1.344993+0.091628
## [433] train-mlogloss:0.004179+0.000094 test-mlogloss:1.346352+0.092325
## [434] train-mlogloss:0.004163+0.000095 test-mlogloss:1.346081+0.091367
## [435] train-mlogloss:0.004146+0.000097 test-mlogloss:1.347403+0.091535
## [436] train-mlogloss:0.004133+0.000093 test-mlogloss:1.347513+0.092010
## [437] train-mlogloss:0.004117+0.000091 test-mlogloss:1.348268+0.091761
## [438] train-mlogloss:0.004102+0.000090 test-mlogloss:1.348727+0.090940
## [439] train-mlogloss:0.004092+0.000087 test-mlogloss:1.348988+0.090953
## [440] train-mlogloss:0.004079+0.000085 test-mlogloss:1.349508+0.091500
## [441] train-mlogloss:0.004063+0.000082 test-mlogloss:1.350170+0.091271
## [442] train-mlogloss:0.004052+0.000082 test-mlogloss:1.351169+0.091001
## [443] train-mlogloss:0.004040+0.000080 test-mlogloss:1.352055+0.091382
## [444] train-mlogloss:0.004028+0.000079 test-mlogloss:1.353316+0.092032
## [445] train-mlogloss:0.004012+0.000078 test-mlogloss:1.353352+0.092339
## [446] train-mlogloss:0.003997+0.000074 test-mlogloss:1.353875+0.093041
## [447] train-mlogloss:0.003984+0.000077 test-mlogloss:1.353831+0.093347
## [448] train-mlogloss:0.003970+0.000079 test-mlogloss:1.355674+0.093480
## [449] train-mlogloss:0.003956+0.000077 test-mlogloss:1.356510+0.094578
## [450] train-mlogloss:0.003944+0.000077 test-mlogloss:1.355113+0.093576
## [451] train-mlogloss:0.003931+0.000078 test-mlogloss:1.355843+0.093482
## [452] train-mlogloss:0.003919+0.000078 test-mlogloss:1.357261+0.093975
## [453] train-mlogloss:0.003909+0.000079 test-mlogloss:1.356693+0.094990
## [454] train-mlogloss:0.003896+0.000079 test-mlogloss:1.356473+0.095226
## [455] train-mlogloss:0.003886+0.000077 test-mlogloss:1.357060+0.094356
## [456] train-mlogloss:0.003872+0.000076 test-mlogloss:1.357172+0.093764
## [457] train-mlogloss:0.003862+0.000076 test-mlogloss:1.357981+0.093341
## [458] train-mlogloss:0.003849+0.000076 test-mlogloss:1.358579+0.094044
## [459] train-mlogloss:0.003837+0.000077 test-mlogloss:1.359212+0.094323
## [460] train-mlogloss:0.003825+0.000075 test-mlogloss:1.360106+0.094670
## [461] train-mlogloss:0.003815+0.000072 test-mlogloss:1.361387+0.094279
## [462] train-mlogloss:0.003803+0.000074 test-mlogloss:1.362064+0.094699
## [463] train-mlogloss:0.003792+0.000072 test-mlogloss:1.362302+0.095243
## [464] train-mlogloss:0.003777+0.000072 test-mlogloss:1.363769+0.095874
## [465] train-mlogloss:0.003766+0.000073 test-mlogloss:1.364597+0.095238
## [466] train-mlogloss:0.003756+0.000071 test-mlogloss:1.366153+0.095298
## [467] train-mlogloss:0.003744+0.000071 test-mlogloss:1.367176+0.095199
## [468] train-mlogloss:0.003734+0.000074 test-mlogloss:1.366475+0.094943
## [469] train-mlogloss:0.003725+0.000073 test-mlogloss:1.365915+0.094580
## [470] train-mlogloss:0.003713+0.000075 test-mlogloss:1.366824+0.094458
## [471] train-mlogloss:0.003702+0.000075 test-mlogloss:1.367696+0.095651
## [472] train-mlogloss:0.003690+0.000074 test-mlogloss:1.368103+0.095880
## [473] train-mlogloss:0.003680+0.000073 test-mlogloss:1.367634+0.095583
## [474] train-mlogloss:0.003667+0.000071 test-mlogloss:1.368053+0.095872
## [475] train-mlogloss:0.003656+0.000067 test-mlogloss:1.368732+0.096172
## [476] train-mlogloss:0.003645+0.000069 test-mlogloss:1.369743+0.096765
## [477] train-mlogloss:0.003636+0.000071 test-mlogloss:1.370002+0.095526
## [478] train-mlogloss:0.003624+0.000069 test-mlogloss:1.370063+0.095076
## [479] train-mlogloss:0.003615+0.000070 test-mlogloss:1.371149+0.096493
## [480] train-mlogloss:0.003605+0.000070 test-mlogloss:1.372784+0.096882
## [481] train-mlogloss:0.003593+0.000068 test-mlogloss:1.372399+0.097092
## [482] train-mlogloss:0.003583+0.000068 test-mlogloss:1.372733+0.097545
## [483] train-mlogloss:0.003571+0.000070 test-mlogloss:1.374010+0.097807
## [484] train-mlogloss:0.003559+0.000071 test-mlogloss:1.374786+0.096640
## [485] train-mlogloss:0.003547+0.000071 test-mlogloss:1.375379+0.097458
## [486] train-mlogloss:0.003537+0.000071 test-mlogloss:1.375035+0.097311
## [487] train-mlogloss:0.003524+0.000069 test-mlogloss:1.375540+0.096942
## [488] train-mlogloss:0.003517+0.000068 test-mlogloss:1.376620+0.097999
## [489] train-mlogloss:0.003510+0.000069 test-mlogloss:1.377955+0.097338
## [490] train-mlogloss:0.003500+0.000069 test-mlogloss:1.378320+0.096753
## [491] train-mlogloss:0.003490+0.000070 test-mlogloss:1.378131+0.096278
## [492] train-mlogloss:0.003480+0.000070 test-mlogloss:1.379361+0.096260
## [493] train-mlogloss:0.003472+0.000070 test-mlogloss:1.378424+0.094850
## [494] train-mlogloss:0.003460+0.000070 test-mlogloss:1.379754+0.095293
## [495] train-mlogloss:0.003452+0.000068 test-mlogloss:1.380566+0.095018
## [496] train-mlogloss:0.003442+0.000068 test-mlogloss:1.381141+0.093689
## [497] train-mlogloss:0.003435+0.000068 test-mlogloss:1.381717+0.094314
## [498] train-mlogloss:0.003426+0.000068 test-mlogloss:1.382633+0.093712
## [499] train-mlogloss:0.003417+0.000068 test-mlogloss:1.383126+0.094114
## [500] train-mlogloss:0.003407+0.000066 test-mlogloss:1.382846+0.094868
## [1] train-mlogloss:0.378327+0.003615 test-mlogloss:0.618943+0.010755
## [2] train-mlogloss:0.263824+0.004444 test-mlogloss:0.652498+0.014996
## [3] train-mlogloss:0.195795+0.001338 test-mlogloss:0.687285+0.011734
## [4] train-mlogloss:0.153688+0.004833 test-mlogloss:0.716327+0.011879
## [5] train-mlogloss:0.121976+0.004776 test-mlogloss:0.745060+0.013267
## [6] train-mlogloss:0.098093+0.004371 test-mlogloss:0.766291+0.008278
## [7] train-mlogloss:0.080756+0.003111 test-mlogloss:0.786962+0.009604
## [8] train-mlogloss:0.068706+0.002497 test-mlogloss:0.806997+0.004702
## [9] train-mlogloss:0.059124+0.001977 test-mlogloss:0.823165+0.006732
## [10] train-mlogloss:0.051523+0.001533 test-mlogloss:0.837242+0.009656
## [11] train-mlogloss:0.045581+0.001485 test-mlogloss:0.853509+0.010126
## [12] train-mlogloss:0.040781+0.001250 test-mlogloss:0.863235+0.008883
## [13] train-mlogloss:0.036867+0.000940 test-mlogloss:0.873220+0.010336
## [14] train-mlogloss:0.033583+0.000827 test-mlogloss:0.878520+0.011380
## [15] train-mlogloss:0.030870+0.000611 test-mlogloss:0.886714+0.009772
## [16] train-mlogloss:0.028583+0.000589 test-mlogloss:0.892275+0.007435
## [17] train-mlogloss:0.026511+0.000527 test-mlogloss:0.900457+0.007300
## [18] train-mlogloss:0.024845+0.000488 test-mlogloss:0.908270+0.010518
## [19] train-mlogloss:0.023353+0.000404 test-mlogloss:0.916177+0.009894
## [20] train-mlogloss:0.022040+0.000377 test-mlogloss:0.922687+0.011709
## [21] train-mlogloss:0.020805+0.000333 test-mlogloss:0.926378+0.012788
## [22] train-mlogloss:0.019736+0.000334 test-mlogloss:0.930381+0.013646
## [23] train-mlogloss:0.018731+0.000292 test-mlogloss:0.936900+0.014314
## [24] train-mlogloss:0.017919+0.000261 test-mlogloss:0.940902+0.015959
## [25] train-mlogloss:0.017193+0.000262 test-mlogloss:0.945047+0.014307
## [26] train-mlogloss:0.016506+0.000245 test-mlogloss:0.949908+0.013356
## [27] train-mlogloss:0.015886+0.000227 test-mlogloss:0.954170+0.012042
## [28] train-mlogloss:0.015294+0.000226 test-mlogloss:0.958577+0.012797
## [29] train-mlogloss:0.014770+0.000184 test-mlogloss:0.965100+0.011934
## [30] train-mlogloss:0.014246+0.000137 test-mlogloss:0.970197+0.013254
## [31] train-mlogloss:0.013786+0.000126 test-mlogloss:0.975518+0.013142
## [32] train-mlogloss:0.013347+0.000150 test-mlogloss:0.978493+0.014583
## [33] train-mlogloss:0.012954+0.000149 test-mlogloss:0.980102+0.014137
## [34] train-mlogloss:0.012592+0.000154 test-mlogloss:0.984313+0.012489
## [35] train-mlogloss:0.012242+0.000151 test-mlogloss:0.988840+0.014446
## [36] train-mlogloss:0.011923+0.000155 test-mlogloss:0.990363+0.014709
## [37] train-mlogloss:0.011620+0.000128 test-mlogloss:0.993317+0.015323
## [38] train-mlogloss:0.011333+0.000140 test-mlogloss:0.997728+0.015487
## [39] train-mlogloss:0.011053+0.000117 test-mlogloss:0.999499+0.016228
## [40] train-mlogloss:0.010796+0.000115 test-mlogloss:1.002828+0.016322
## [41] train-mlogloss:0.010553+0.000106 test-mlogloss:1.008215+0.015419
## [42] train-mlogloss:0.010328+0.000103 test-mlogloss:1.010117+0.016776
## [43] train-mlogloss:0.010116+0.000116 test-mlogloss:1.014410+0.016879
## [44] train-mlogloss:0.009902+0.000107 test-mlogloss:1.017543+0.017935
## [45] train-mlogloss:0.009705+0.000095 test-mlogloss:1.020369+0.016348
## [46] train-mlogloss:0.009511+0.000089 test-mlogloss:1.022622+0.014855
## [47] train-mlogloss:0.009317+0.000096 test-mlogloss:1.025371+0.016324
## [48] train-mlogloss:0.009145+0.000096 test-mlogloss:1.026736+0.018343
## [49] train-mlogloss:0.008985+0.000088 test-mlogloss:1.029939+0.019590
## [50] train-mlogloss:0.008829+0.000086 test-mlogloss:1.031700+0.018778
## [51] train-mlogloss:0.008665+0.000092 test-mlogloss:1.033439+0.018191
## [52] train-mlogloss:0.008512+0.000090 test-mlogloss:1.036671+0.018794
## [53] train-mlogloss:0.008370+0.000088 test-mlogloss:1.038552+0.019140
## [54] train-mlogloss:0.008234+0.000074 test-mlogloss:1.039810+0.019310
## [55] train-mlogloss:0.008102+0.000080 test-mlogloss:1.040837+0.018860
## [56] train-mlogloss:0.007963+0.000077 test-mlogloss:1.044562+0.019708
## [57] train-mlogloss:0.007836+0.000079 test-mlogloss:1.045528+0.020612
## [58] train-mlogloss:0.007717+0.000078 test-mlogloss:1.046836+0.021276
## [59] train-mlogloss:0.007600+0.000071 test-mlogloss:1.050150+0.021221
## [60] train-mlogloss:0.007483+0.000076 test-mlogloss:1.051217+0.021872
## [61] train-mlogloss:0.007378+0.000079 test-mlogloss:1.053005+0.022583
## [62] train-mlogloss:0.007286+0.000078 test-mlogloss:1.053734+0.021941
## [63] train-mlogloss:0.007189+0.000065 test-mlogloss:1.054842+0.022279
## [64] train-mlogloss:0.007097+0.000056 test-mlogloss:1.057134+0.022954
## [65] train-mlogloss:0.007004+0.000045 test-mlogloss:1.059037+0.022372
## [66] train-mlogloss:0.006915+0.000052 test-mlogloss:1.061148+0.022370
## [67] train-mlogloss:0.006835+0.000055 test-mlogloss:1.062650+0.021419
## [68] train-mlogloss:0.006756+0.000052 test-mlogloss:1.063500+0.020251
## [69] train-mlogloss:0.006679+0.000051 test-mlogloss:1.064147+0.020235
## [70] train-mlogloss:0.006606+0.000060 test-mlogloss:1.065906+0.020467
## [71] train-mlogloss:0.006528+0.000066 test-mlogloss:1.068356+0.019433
## [72] train-mlogloss:0.006455+0.000065 test-mlogloss:1.069231+0.018402
## [73] train-mlogloss:0.006382+0.000061 test-mlogloss:1.071508+0.019096
## [74] train-mlogloss:0.006316+0.000066 test-mlogloss:1.072798+0.019679
## [75] train-mlogloss:0.006246+0.000067 test-mlogloss:1.072994+0.019988
## [76] train-mlogloss:0.006187+0.000064 test-mlogloss:1.073866+0.020483
## [77] train-mlogloss:0.006123+0.000058 test-mlogloss:1.074752+0.020891
## [78] train-mlogloss:0.006063+0.000058 test-mlogloss:1.077185+0.019205
## [79] train-mlogloss:0.006002+0.000056 test-mlogloss:1.078093+0.019682
## [80] train-mlogloss:0.005944+0.000064 test-mlogloss:1.078452+0.020415
## [81] train-mlogloss:0.005882+0.000065 test-mlogloss:1.078413+0.021584
## [82] train-mlogloss:0.005819+0.000063 test-mlogloss:1.078565+0.021385
## [83] train-mlogloss:0.005762+0.000065 test-mlogloss:1.080439+0.022165
## [84] train-mlogloss:0.005703+0.000062 test-mlogloss:1.080797+0.020949
## [85] train-mlogloss:0.005649+0.000063 test-mlogloss:1.082610+0.020916
## [86] train-mlogloss:0.005603+0.000055 test-mlogloss:1.084789+0.020909
## [87] train-mlogloss:0.005550+0.000061 test-mlogloss:1.085517+0.021198
## [88] train-mlogloss:0.005504+0.000057 test-mlogloss:1.088352+0.021570
## [89] train-mlogloss:0.005463+0.000058 test-mlogloss:1.089782+0.021377
## [90] train-mlogloss:0.005412+0.000054 test-mlogloss:1.090275+0.021851
## [91] train-mlogloss:0.005361+0.000052 test-mlogloss:1.091361+0.023219
## [92] train-mlogloss:0.005319+0.000052 test-mlogloss:1.092181+0.021470
## [93] train-mlogloss:0.005275+0.000051 test-mlogloss:1.093482+0.022181
## [94] train-mlogloss:0.005231+0.000052 test-mlogloss:1.095167+0.022078
## [95] train-mlogloss:0.005190+0.000049 test-mlogloss:1.098526+0.021593
## [96] train-mlogloss:0.005149+0.000046 test-mlogloss:1.099061+0.022108
## [97] train-mlogloss:0.005108+0.000045 test-mlogloss:1.099620+0.022933
## [98] train-mlogloss:0.005068+0.000047 test-mlogloss:1.101416+0.021889
## [99] train-mlogloss:0.005029+0.000046 test-mlogloss:1.101713+0.022378
## [100] train-mlogloss:0.004991+0.000045 test-mlogloss:1.102223+0.022080
## [101] train-mlogloss:0.004950+0.000046 test-mlogloss:1.104514+0.021779
## [102] train-mlogloss:0.004914+0.000046 test-mlogloss:1.104607+0.023539
## [103] train-mlogloss:0.004883+0.000046 test-mlogloss:1.104292+0.022932
## [104] train-mlogloss:0.004849+0.000050 test-mlogloss:1.106357+0.023310
## [105] train-mlogloss:0.004815+0.000048 test-mlogloss:1.107587+0.024009
## [106] train-mlogloss:0.004784+0.000050 test-mlogloss:1.108851+0.024286
## [107] train-mlogloss:0.004751+0.000048 test-mlogloss:1.110497+0.024189
## [108] train-mlogloss:0.004719+0.000049 test-mlogloss:1.110909+0.025014
## [109] train-mlogloss:0.004687+0.000047 test-mlogloss:1.112323+0.024200
## [110] train-mlogloss:0.004658+0.000050 test-mlogloss:1.113268+0.024055
## [111] train-mlogloss:0.004634+0.000047 test-mlogloss:1.113808+0.024740
## [112] train-mlogloss:0.004604+0.000047 test-mlogloss:1.115029+0.025956
## [113] train-mlogloss:0.004573+0.000046 test-mlogloss:1.116537+0.026652
## [114] train-mlogloss:0.004538+0.000042 test-mlogloss:1.118278+0.027029
## [115] train-mlogloss:0.004511+0.000044 test-mlogloss:1.119121+0.027455
## [116] train-mlogloss:0.004480+0.000041 test-mlogloss:1.120623+0.026768
## [117] train-mlogloss:0.004453+0.000045 test-mlogloss:1.120601+0.026345
## [118] train-mlogloss:0.004425+0.000045 test-mlogloss:1.121799+0.026383
## [119] train-mlogloss:0.004395+0.000047 test-mlogloss:1.123143+0.025922
## [120] train-mlogloss:0.004371+0.000045 test-mlogloss:1.123507+0.026647
## [121] train-mlogloss:0.004346+0.000046 test-mlogloss:1.124047+0.027673
## [122] train-mlogloss:0.004318+0.000046 test-mlogloss:1.124423+0.027800
## [123] train-mlogloss:0.004289+0.000046 test-mlogloss:1.127308+0.027579
## [124] train-mlogloss:0.004266+0.000044 test-mlogloss:1.127575+0.027581
## [125] train-mlogloss:0.004243+0.000045 test-mlogloss:1.129187+0.029396
## [126] train-mlogloss:0.004220+0.000041 test-mlogloss:1.129874+0.029151
## [127] train-mlogloss:0.004195+0.000044 test-mlogloss:1.130719+0.027965
## [128] train-mlogloss:0.004172+0.000042 test-mlogloss:1.131361+0.027528
## [129] train-mlogloss:0.004151+0.000045 test-mlogloss:1.132321+0.026334
## [130] train-mlogloss:0.004127+0.000045 test-mlogloss:1.132002+0.026652
## [131] train-mlogloss:0.004106+0.000044 test-mlogloss:1.133947+0.026469
## [132] train-mlogloss:0.004085+0.000043 test-mlogloss:1.134945+0.026519
## [133] train-mlogloss:0.004061+0.000040 test-mlogloss:1.135072+0.027165
## [134] train-mlogloss:0.004039+0.000041 test-mlogloss:1.135712+0.027022
## [135] train-mlogloss:0.004018+0.000040 test-mlogloss:1.136283+0.026557
## [136] train-mlogloss:0.003996+0.000040 test-mlogloss:1.136429+0.026414
## [137] train-mlogloss:0.003976+0.000042 test-mlogloss:1.138291+0.026502
## [138] train-mlogloss:0.003954+0.000044 test-mlogloss:1.137994+0.027696
## [139] train-mlogloss:0.003932+0.000043 test-mlogloss:1.139766+0.027808
## [140] train-mlogloss:0.003911+0.000045 test-mlogloss:1.140123+0.027486
## [141] train-mlogloss:0.003890+0.000043 test-mlogloss:1.142833+0.028947
## [142] train-mlogloss:0.003870+0.000044 test-mlogloss:1.141969+0.027641
## [143] train-mlogloss:0.003852+0.000044 test-mlogloss:1.142100+0.027567
## [144] train-mlogloss:0.003831+0.000041 test-mlogloss:1.142733+0.028382
## [145] train-mlogloss:0.003812+0.000040 test-mlogloss:1.142178+0.028222
## [146] train-mlogloss:0.003792+0.000039 test-mlogloss:1.144098+0.027432
## [147] train-mlogloss:0.003774+0.000040 test-mlogloss:1.144661+0.027566
## [148] train-mlogloss:0.003758+0.000039 test-mlogloss:1.144863+0.027412
## [149] train-mlogloss:0.003737+0.000040 test-mlogloss:1.146603+0.027532
## [150] train-mlogloss:0.003721+0.000041 test-mlogloss:1.145931+0.026778
## [151] train-mlogloss:0.003707+0.000040 test-mlogloss:1.147164+0.027128
## [152] train-mlogloss:0.003692+0.000039 test-mlogloss:1.149135+0.027073
## [153] train-mlogloss:0.003676+0.000040 test-mlogloss:1.150478+0.027558
## [154] train-mlogloss:0.003657+0.000038 test-mlogloss:1.151473+0.028675
## [155] train-mlogloss:0.003640+0.000036 test-mlogloss:1.152015+0.028174
## [156] train-mlogloss:0.003623+0.000035 test-mlogloss:1.151217+0.027760
## [157] train-mlogloss:0.003607+0.000037 test-mlogloss:1.152245+0.028152
## [158] train-mlogloss:0.003591+0.000036 test-mlogloss:1.153231+0.029098
## [159] train-mlogloss:0.003575+0.000033 test-mlogloss:1.153818+0.029038
## [160] train-mlogloss:0.003561+0.000033 test-mlogloss:1.155005+0.028728
## [161] train-mlogloss:0.003546+0.000034 test-mlogloss:1.155388+0.028699
## [162] train-mlogloss:0.003530+0.000035 test-mlogloss:1.155250+0.028970
## [163] train-mlogloss:0.003516+0.000037 test-mlogloss:1.156121+0.028510
## [164] train-mlogloss:0.003500+0.000033 test-mlogloss:1.157005+0.028761
## [165] train-mlogloss:0.003485+0.000032 test-mlogloss:1.157762+0.027662
## [166] train-mlogloss:0.003472+0.000029 test-mlogloss:1.157872+0.029084
## [167] train-mlogloss:0.003458+0.000028 test-mlogloss:1.157129+0.028439
## [168] train-mlogloss:0.003445+0.000029 test-mlogloss:1.159047+0.029552
## [169] train-mlogloss:0.003429+0.000028 test-mlogloss:1.158920+0.028619
## [170] train-mlogloss:0.003413+0.000030 test-mlogloss:1.159991+0.028293
## [171] train-mlogloss:0.003401+0.000031 test-mlogloss:1.158098+0.029793
## [172] train-mlogloss:0.003385+0.000031 test-mlogloss:1.158561+0.030064
## [173] train-mlogloss:0.003372+0.000030 test-mlogloss:1.159614+0.030048
## [174] train-mlogloss:0.003358+0.000028 test-mlogloss:1.159565+0.029351
## [175] train-mlogloss:0.003346+0.000028 test-mlogloss:1.159865+0.029485
## [176] train-mlogloss:0.003336+0.000028 test-mlogloss:1.161610+0.029570
## [177] train-mlogloss:0.003325+0.000028 test-mlogloss:1.161435+0.028775
## [178] train-mlogloss:0.003313+0.000028 test-mlogloss:1.161729+0.028798
## [179] train-mlogloss:0.003301+0.000028 test-mlogloss:1.162584+0.029854
## [180] train-mlogloss:0.003290+0.000028 test-mlogloss:1.162700+0.029749
## [181] train-mlogloss:0.003278+0.000028 test-mlogloss:1.163366+0.030023
## [182] train-mlogloss:0.003265+0.000030 test-mlogloss:1.163628+0.029582
## [183] train-mlogloss:0.003253+0.000029 test-mlogloss:1.163813+0.028914
## [184] train-mlogloss:0.003243+0.000029 test-mlogloss:1.165643+0.029069
## [185] train-mlogloss:0.003232+0.000028 test-mlogloss:1.165365+0.028481
## [186] train-mlogloss:0.003220+0.000026 test-mlogloss:1.166394+0.028916
## [187] train-mlogloss:0.003208+0.000027 test-mlogloss:1.166673+0.028778
## [188] train-mlogloss:0.003196+0.000028 test-mlogloss:1.167239+0.029661
## [189] train-mlogloss:0.003185+0.000028 test-mlogloss:1.167824+0.029410
## [190] train-mlogloss:0.003173+0.000029 test-mlogloss:1.168192+0.029073
## [191] train-mlogloss:0.003163+0.000029 test-mlogloss:1.168832+0.029182
## [192] train-mlogloss:0.003150+0.000029 test-mlogloss:1.170131+0.028897
## [193] train-mlogloss:0.003140+0.000030 test-mlogloss:1.169653+0.029101
## [194] train-mlogloss:0.003129+0.000030 test-mlogloss:1.169571+0.028700
## [195] train-mlogloss:0.003118+0.000028 test-mlogloss:1.169356+0.029998
## [196] train-mlogloss:0.003108+0.000027 test-mlogloss:1.170789+0.031250
## [197] train-mlogloss:0.003097+0.000027 test-mlogloss:1.172138+0.031191
## [198] train-mlogloss:0.003088+0.000026 test-mlogloss:1.173764+0.030860
## [199] train-mlogloss:0.003077+0.000027 test-mlogloss:1.173648+0.030168
## [200] train-mlogloss:0.003068+0.000027 test-mlogloss:1.173730+0.030164
## [201] train-mlogloss:0.003057+0.000027 test-mlogloss:1.173745+0.030729
## [202] train-mlogloss:0.003048+0.000025 test-mlogloss:1.174389+0.030206
## [203] train-mlogloss:0.003038+0.000026 test-mlogloss:1.174495+0.030315
## [204] train-mlogloss:0.003028+0.000027 test-mlogloss:1.174413+0.030522
## [205] train-mlogloss:0.003017+0.000028 test-mlogloss:1.175024+0.029772
## [206] train-mlogloss:0.003009+0.000027 test-mlogloss:1.175830+0.030131
## [207] train-mlogloss:0.003000+0.000027 test-mlogloss:1.176525+0.029670
## [208] train-mlogloss:0.002991+0.000024 test-mlogloss:1.175111+0.030430
## [209] train-mlogloss:0.002981+0.000024 test-mlogloss:1.175955+0.030240
## [210] train-mlogloss:0.002972+0.000023 test-mlogloss:1.176606+0.030579
## [211] train-mlogloss:0.002962+0.000022 test-mlogloss:1.177236+0.029802
## [212] train-mlogloss:0.002953+0.000022 test-mlogloss:1.177021+0.031076
## [213] train-mlogloss:0.002943+0.000022 test-mlogloss:1.177851+0.029858
## [214] train-mlogloss:0.002933+0.000020 test-mlogloss:1.178937+0.029998
## [215] train-mlogloss:0.002924+0.000020 test-mlogloss:1.179502+0.029712
## [216] train-mlogloss:0.002916+0.000021 test-mlogloss:1.180038+0.030184
## [217] train-mlogloss:0.002908+0.000021 test-mlogloss:1.180265+0.030841
## [218] train-mlogloss:0.002898+0.000020 test-mlogloss:1.180340+0.030845
## [219] train-mlogloss:0.002891+0.000019 test-mlogloss:1.182912+0.031167
## [220] train-mlogloss:0.002880+0.000021 test-mlogloss:1.182170+0.031156
## [221] train-mlogloss:0.002871+0.000018 test-mlogloss:1.183227+0.029653
## [222] train-mlogloss:0.002863+0.000018 test-mlogloss:1.184137+0.030820
## [223] train-mlogloss:0.002855+0.000018 test-mlogloss:1.184685+0.030877
## [224] train-mlogloss:0.002845+0.000018 test-mlogloss:1.184700+0.030532
## [225] train-mlogloss:0.002836+0.000019 test-mlogloss:1.184838+0.030249
## [226] train-mlogloss:0.002828+0.000018 test-mlogloss:1.185940+0.030846
## [227] train-mlogloss:0.002819+0.000018 test-mlogloss:1.186135+0.031442
## [228] train-mlogloss:0.002813+0.000016 test-mlogloss:1.187676+0.031180
## [229] train-mlogloss:0.002805+0.000017 test-mlogloss:1.187657+0.030512
## [230] train-mlogloss:0.002797+0.000018 test-mlogloss:1.188257+0.030725
## [231] train-mlogloss:0.002790+0.000018 test-mlogloss:1.188478+0.030661
## [232] train-mlogloss:0.002783+0.000019 test-mlogloss:1.188700+0.031492
## [233] train-mlogloss:0.002775+0.000019 test-mlogloss:1.187929+0.031410
## [234] train-mlogloss:0.002768+0.000019 test-mlogloss:1.189131+0.030676
## [235] train-mlogloss:0.002758+0.000020 test-mlogloss:1.189692+0.032066
## [236] train-mlogloss:0.002750+0.000020 test-mlogloss:1.190388+0.030891
## [237] train-mlogloss:0.002742+0.000020 test-mlogloss:1.191183+0.030584
## [238] train-mlogloss:0.002735+0.000020 test-mlogloss:1.191880+0.029923
## [239] train-mlogloss:0.002729+0.000020 test-mlogloss:1.191551+0.030385
## [240] train-mlogloss:0.002722+0.000020 test-mlogloss:1.191936+0.030880
## [241] train-mlogloss:0.002715+0.000020 test-mlogloss:1.191136+0.031235
## [242] train-mlogloss:0.002704+0.000017 test-mlogloss:1.191918+0.030879
## [243] train-mlogloss:0.002699+0.000017 test-mlogloss:1.192299+0.031076
## [244] train-mlogloss:0.002692+0.000017 test-mlogloss:1.192632+0.031764
## [245] train-mlogloss:0.002686+0.000019 test-mlogloss:1.192931+0.032011
## [246] train-mlogloss:0.002679+0.000018 test-mlogloss:1.194336+0.031731
## [247] train-mlogloss:0.002671+0.000019 test-mlogloss:1.193920+0.031605
## [248] train-mlogloss:0.002666+0.000019 test-mlogloss:1.193369+0.031624
## [249] train-mlogloss:0.002659+0.000018 test-mlogloss:1.194399+0.031760
## [250] train-mlogloss:0.002652+0.000018 test-mlogloss:1.195106+0.031420
## [251] train-mlogloss:0.002644+0.000017 test-mlogloss:1.195199+0.031391
## [252] train-mlogloss:0.002637+0.000018 test-mlogloss:1.197083+0.031163
## [253] train-mlogloss:0.002630+0.000018 test-mlogloss:1.196189+0.030800
## [254] train-mlogloss:0.002623+0.000019 test-mlogloss:1.196729+0.031505
## [255] train-mlogloss:0.002617+0.000020 test-mlogloss:1.197984+0.032204
## [256] train-mlogloss:0.002611+0.000019 test-mlogloss:1.198817+0.032178
## [257] train-mlogloss:0.002604+0.000018 test-mlogloss:1.199236+0.031825
## [258] train-mlogloss:0.002598+0.000019 test-mlogloss:1.199766+0.031081
## [259] train-mlogloss:0.002593+0.000019 test-mlogloss:1.200016+0.031085
## [260] train-mlogloss:0.002587+0.000019 test-mlogloss:1.200158+0.031395
## [261] train-mlogloss:0.002581+0.000019 test-mlogloss:1.200057+0.031376
## [262] train-mlogloss:0.002575+0.000018 test-mlogloss:1.199924+0.031071
## [263] train-mlogloss:0.002568+0.000019 test-mlogloss:1.200319+0.030998
## [264] train-mlogloss:0.002562+0.000018 test-mlogloss:1.200588+0.031050
## [265] train-mlogloss:0.002556+0.000018 test-mlogloss:1.200439+0.030928
## [266] train-mlogloss:0.002551+0.000018 test-mlogloss:1.201566+0.030451
## [267] train-mlogloss:0.002545+0.000018 test-mlogloss:1.201983+0.031457
## [268] train-mlogloss:0.002538+0.000017 test-mlogloss:1.202493+0.031019
## [269] train-mlogloss:0.002532+0.000018 test-mlogloss:1.203064+0.030649
## [270] train-mlogloss:0.002526+0.000018 test-mlogloss:1.203798+0.030534
## [271] train-mlogloss:0.002519+0.000018 test-mlogloss:1.203800+0.030146
## [272] train-mlogloss:0.002514+0.000017 test-mlogloss:1.203890+0.030264
## [273] train-mlogloss:0.002510+0.000017 test-mlogloss:1.203897+0.029852
## [274] train-mlogloss:0.002504+0.000016 test-mlogloss:1.203778+0.030448
## [275] train-mlogloss:0.002499+0.000016 test-mlogloss:1.204556+0.030190
## [276] train-mlogloss:0.002494+0.000017 test-mlogloss:1.205455+0.030460
## [277] train-mlogloss:0.002488+0.000016 test-mlogloss:1.205615+0.030762
## [278] train-mlogloss:0.002483+0.000018 test-mlogloss:1.205608+0.030449
## [279] train-mlogloss:0.002478+0.000017 test-mlogloss:1.205521+0.029714
## [280] train-mlogloss:0.002473+0.000017 test-mlogloss:1.205668+0.030529
## [281] train-mlogloss:0.002467+0.000017 test-mlogloss:1.206865+0.030945
## [282] train-mlogloss:0.002462+0.000017 test-mlogloss:1.208012+0.031066
## [283] train-mlogloss:0.002455+0.000016 test-mlogloss:1.207604+0.030432
## [284] train-mlogloss:0.002451+0.000016 test-mlogloss:1.208314+0.030592
## [285] train-mlogloss:0.002446+0.000016 test-mlogloss:1.208350+0.030554
## [286] train-mlogloss:0.002441+0.000016 test-mlogloss:1.209285+0.030077
## [287] train-mlogloss:0.002436+0.000015 test-mlogloss:1.209646+0.029938
## [288] train-mlogloss:0.002431+0.000015 test-mlogloss:1.210288+0.030354
## [289] train-mlogloss:0.002426+0.000015 test-mlogloss:1.209972+0.029874
## [290] train-mlogloss:0.002420+0.000015 test-mlogloss:1.210536+0.031499
## [291] train-mlogloss:0.002415+0.000014 test-mlogloss:1.210464+0.030744
## [292] train-mlogloss:0.002410+0.000014 test-mlogloss:1.210919+0.031457
## [293] train-mlogloss:0.002405+0.000014 test-mlogloss:1.211280+0.031555
## [294] train-mlogloss:0.002401+0.000014 test-mlogloss:1.211726+0.030852
## [295] train-mlogloss:0.002396+0.000015 test-mlogloss:1.211680+0.031546
## [296] train-mlogloss:0.002391+0.000016 test-mlogloss:1.211656+0.031341
## [297] train-mlogloss:0.002386+0.000015 test-mlogloss:1.212495+0.031514
## [298] train-mlogloss:0.002382+0.000016 test-mlogloss:1.213352+0.030797
## [299] train-mlogloss:0.002377+0.000014 test-mlogloss:1.213750+0.031720
## [300] train-mlogloss:0.002371+0.000014 test-mlogloss:1.214190+0.030693
## [301] train-mlogloss:0.002367+0.000014 test-mlogloss:1.214846+0.031419
## [302] train-mlogloss:0.002362+0.000014 test-mlogloss:1.215084+0.032116
## [303] train-mlogloss:0.002357+0.000014 test-mlogloss:1.214587+0.032088
## [304] train-mlogloss:0.002351+0.000015 test-mlogloss:1.214744+0.031885
## [305] train-mlogloss:0.002348+0.000014 test-mlogloss:1.214851+0.032225
## [306] train-mlogloss:0.002345+0.000015 test-mlogloss:1.215007+0.031103
## [307] train-mlogloss:0.002340+0.000013 test-mlogloss:1.216150+0.031807
## [308] train-mlogloss:0.002335+0.000015 test-mlogloss:1.217128+0.030958
## [309] train-mlogloss:0.002331+0.000016 test-mlogloss:1.216166+0.031602
## [310] train-mlogloss:0.002327+0.000016 test-mlogloss:1.215363+0.031964
## [311] train-mlogloss:0.002321+0.000017 test-mlogloss:1.215395+0.031915
## [312] train-mlogloss:0.002318+0.000016 test-mlogloss:1.215202+0.030498
## [313] train-mlogloss:0.002313+0.000016 test-mlogloss:1.216820+0.031052
## [314] train-mlogloss:0.002308+0.000016 test-mlogloss:1.216657+0.031194
## [315] train-mlogloss:0.002304+0.000016 test-mlogloss:1.217154+0.030389
## [316] train-mlogloss:0.002300+0.000017 test-mlogloss:1.216726+0.030604
## [317] train-mlogloss:0.002296+0.000016 test-mlogloss:1.218587+0.031280
## [318] train-mlogloss:0.002291+0.000015 test-mlogloss:1.218448+0.030621
## [319] train-mlogloss:0.002286+0.000016 test-mlogloss:1.218978+0.030703
## [320] train-mlogloss:0.002282+0.000015 test-mlogloss:1.219261+0.029777
## [321] train-mlogloss:0.002277+0.000016 test-mlogloss:1.219372+0.030578
## [322] train-mlogloss:0.002273+0.000016 test-mlogloss:1.219555+0.031019
## [323] train-mlogloss:0.002268+0.000016 test-mlogloss:1.220026+0.030066
## [324] train-mlogloss:0.002263+0.000016 test-mlogloss:1.220623+0.030772
## [325] train-mlogloss:0.002259+0.000016 test-mlogloss:1.220372+0.031071
## [326] train-mlogloss:0.002255+0.000015 test-mlogloss:1.221503+0.030201
## [327] train-mlogloss:0.002250+0.000015 test-mlogloss:1.221733+0.030868
## [328] train-mlogloss:0.002246+0.000016 test-mlogloss:1.222299+0.031715
## [329] train-mlogloss:0.002242+0.000015 test-mlogloss:1.223129+0.031293
## [330] train-mlogloss:0.002237+0.000016 test-mlogloss:1.224183+0.030631
## [331] train-mlogloss:0.002233+0.000015 test-mlogloss:1.224152+0.030663
## [332] train-mlogloss:0.002230+0.000015 test-mlogloss:1.224366+0.031219
## [333] train-mlogloss:0.002227+0.000015 test-mlogloss:1.225274+0.030767
## [334] train-mlogloss:0.002222+0.000015 test-mlogloss:1.225912+0.031046
## [335] train-mlogloss:0.002219+0.000015 test-mlogloss:1.226072+0.031674
## [336] train-mlogloss:0.002216+0.000015 test-mlogloss:1.226472+0.032145
## [337] train-mlogloss:0.002212+0.000015 test-mlogloss:1.226326+0.032696
## [338] train-mlogloss:0.002208+0.000016 test-mlogloss:1.225768+0.032837
## [339] train-mlogloss:0.002204+0.000014 test-mlogloss:1.226808+0.033041
## [340] train-mlogloss:0.002200+0.000015 test-mlogloss:1.225730+0.031849
## [341] train-mlogloss:0.002196+0.000016 test-mlogloss:1.227393+0.032136
## [342] train-mlogloss:0.002192+0.000015 test-mlogloss:1.227390+0.031753
## [343] train-mlogloss:0.002187+0.000014 test-mlogloss:1.228004+0.031838
## [344] train-mlogloss:0.002184+0.000014 test-mlogloss:1.228608+0.032217
## [345] train-mlogloss:0.002180+0.000014 test-mlogloss:1.228422+0.032533
## [346] train-mlogloss:0.002177+0.000013 test-mlogloss:1.228182+0.032738
## [347] train-mlogloss:0.002173+0.000012 test-mlogloss:1.229006+0.033157
## [348] train-mlogloss:0.002170+0.000013 test-mlogloss:1.228692+0.033120
## [349] train-mlogloss:0.002165+0.000013 test-mlogloss:1.228753+0.033833
## [350] train-mlogloss:0.002162+0.000013 test-mlogloss:1.229295+0.032852
## [351] train-mlogloss:0.002159+0.000013 test-mlogloss:1.229811+0.033413
## [352] train-mlogloss:0.002154+0.000013 test-mlogloss:1.231143+0.032490
## [353] train-mlogloss:0.002150+0.000012 test-mlogloss:1.231066+0.033280
## [354] train-mlogloss:0.002146+0.000012 test-mlogloss:1.230669+0.032865
## [355] train-mlogloss:0.002142+0.000012 test-mlogloss:1.230117+0.033454
## [356] train-mlogloss:0.002139+0.000013 test-mlogloss:1.230875+0.033362
## [357] train-mlogloss:0.002135+0.000013 test-mlogloss:1.232250+0.034035
## [358] train-mlogloss:0.002131+0.000012 test-mlogloss:1.231850+0.034130
## [359] train-mlogloss:0.002127+0.000012 test-mlogloss:1.233175+0.034097
## [360] train-mlogloss:0.002124+0.000012 test-mlogloss:1.232796+0.033563
## [361] train-mlogloss:0.002119+0.000012 test-mlogloss:1.232879+0.033446
## [362] train-mlogloss:0.002117+0.000012 test-mlogloss:1.233299+0.033228
## [363] train-mlogloss:0.002114+0.000012 test-mlogloss:1.233844+0.033758
## [364] train-mlogloss:0.002110+0.000012 test-mlogloss:1.234236+0.034268
## [365] train-mlogloss:0.002107+0.000012 test-mlogloss:1.234808+0.035006
## [366] train-mlogloss:0.002103+0.000012 test-mlogloss:1.234567+0.034976
## [367] train-mlogloss:0.002100+0.000013 test-mlogloss:1.235809+0.034314
## [368] train-mlogloss:0.002097+0.000012 test-mlogloss:1.235452+0.034853
## [369] train-mlogloss:0.002093+0.000013 test-mlogloss:1.236141+0.034990
## [370] train-mlogloss:0.002089+0.000012 test-mlogloss:1.235505+0.035722
## [371] train-mlogloss:0.002086+0.000012 test-mlogloss:1.234939+0.034948
## [372] train-mlogloss:0.002082+0.000013 test-mlogloss:1.235391+0.034473
## [373] train-mlogloss:0.002080+0.000013 test-mlogloss:1.236136+0.034181
## [374] train-mlogloss:0.002077+0.000013 test-mlogloss:1.236355+0.034437
## [375] train-mlogloss:0.002073+0.000012 test-mlogloss:1.237060+0.033473
## [376] train-mlogloss:0.002069+0.000012 test-mlogloss:1.236633+0.033807
## [377] train-mlogloss:0.002066+0.000013 test-mlogloss:1.236969+0.034198
## [378] train-mlogloss:0.002063+0.000013 test-mlogloss:1.237953+0.034652
## [379] train-mlogloss:0.002060+0.000013 test-mlogloss:1.238045+0.034773
## [380] train-mlogloss:0.002057+0.000013 test-mlogloss:1.237627+0.034113
## [381] train-mlogloss:0.002054+0.000013 test-mlogloss:1.238047+0.034905
## [382] train-mlogloss:0.002051+0.000014 test-mlogloss:1.237724+0.034554
## [383] train-mlogloss:0.002048+0.000014 test-mlogloss:1.238401+0.034812
## [384] train-mlogloss:0.002045+0.000014 test-mlogloss:1.238223+0.034125
## [385] train-mlogloss:0.002042+0.000014 test-mlogloss:1.238538+0.033630
## [386] train-mlogloss:0.002039+0.000014 test-mlogloss:1.238651+0.033825
## [387] train-mlogloss:0.002036+0.000013 test-mlogloss:1.240105+0.033436
## [388] train-mlogloss:0.002034+0.000013 test-mlogloss:1.240616+0.033065
## [389] train-mlogloss:0.002030+0.000013 test-mlogloss:1.240813+0.033281
## [390] train-mlogloss:0.002027+0.000012 test-mlogloss:1.240623+0.033944
## [391] train-mlogloss:0.002024+0.000012 test-mlogloss:1.241010+0.033403
## [392] train-mlogloss:0.002021+0.000012 test-mlogloss:1.241057+0.034273
## [393] train-mlogloss:0.002018+0.000012 test-mlogloss:1.241643+0.034960
## [394] train-mlogloss:0.002015+0.000012 test-mlogloss:1.242242+0.034140
## [395] train-mlogloss:0.002013+0.000013 test-mlogloss:1.242550+0.034297
## [396] train-mlogloss:0.002010+0.000012 test-mlogloss:1.242220+0.033481
## [397] train-mlogloss:0.002007+0.000012 test-mlogloss:1.242453+0.034368
## [398] train-mlogloss:0.002004+0.000012 test-mlogloss:1.243264+0.034940
## [399] train-mlogloss:0.002002+0.000011 test-mlogloss:1.242835+0.034224
## [400] train-mlogloss:0.001998+0.000011 test-mlogloss:1.243034+0.034339
## [401] train-mlogloss:0.001996+0.000011 test-mlogloss:1.244045+0.034784
## [402] train-mlogloss:0.001993+0.000011 test-mlogloss:1.244718+0.034597
## [403] train-mlogloss:0.001991+0.000010 test-mlogloss:1.245041+0.034747
## [404] train-mlogloss:0.001988+0.000010 test-mlogloss:1.245749+0.035035
## [405] train-mlogloss:0.001985+0.000009 test-mlogloss:1.245263+0.035291
## [406] train-mlogloss:0.001982+0.000009 test-mlogloss:1.245798+0.034043
## [407] train-mlogloss:0.001980+0.000008 test-mlogloss:1.246530+0.034156
## [408] train-mlogloss:0.001977+0.000008 test-mlogloss:1.246403+0.034189
## [409] train-mlogloss:0.001975+0.000008 test-mlogloss:1.245917+0.033755
## [410] train-mlogloss:0.001971+0.000009 test-mlogloss:1.245830+0.034271
## [411] train-mlogloss:0.001968+0.000009 test-mlogloss:1.246242+0.034148
## [412] train-mlogloss:0.001966+0.000008 test-mlogloss:1.246451+0.035257
## [413] train-mlogloss:0.001964+0.000008 test-mlogloss:1.247117+0.034753
## [414] train-mlogloss:0.001960+0.000008 test-mlogloss:1.247843+0.034487
## [415] train-mlogloss:0.001958+0.000009 test-mlogloss:1.247942+0.035278
## [416] train-mlogloss:0.001956+0.000010 test-mlogloss:1.247979+0.035140
## [417] train-mlogloss:0.001953+0.000009 test-mlogloss:1.247573+0.034358
## [418] train-mlogloss:0.001950+0.000009 test-mlogloss:1.248735+0.035186
## [419] train-mlogloss:0.001947+0.000008 test-mlogloss:1.249899+0.035589
## [420] train-mlogloss:0.001944+0.000008 test-mlogloss:1.249502+0.036018
## [421] train-mlogloss:0.001942+0.000008 test-mlogloss:1.249962+0.036117
## [422] train-mlogloss:0.001939+0.000009 test-mlogloss:1.250007+0.036044
## [423] train-mlogloss:0.001937+0.000009 test-mlogloss:1.249522+0.037192
## [424] train-mlogloss:0.001934+0.000009 test-mlogloss:1.250051+0.036268
## [425] train-mlogloss:0.001932+0.000009 test-mlogloss:1.250922+0.036041
## [426] train-mlogloss:0.001929+0.000009 test-mlogloss:1.250547+0.035797
## [427] train-mlogloss:0.001927+0.000010 test-mlogloss:1.251195+0.035335
## [428] train-mlogloss:0.001924+0.000009 test-mlogloss:1.251755+0.035450
## [429] train-mlogloss:0.001922+0.000010 test-mlogloss:1.252429+0.035534
## [430] train-mlogloss:0.001919+0.000010 test-mlogloss:1.252967+0.036168
## [431] train-mlogloss:0.001917+0.000010 test-mlogloss:1.253305+0.037456
## [432] train-mlogloss:0.001914+0.000010 test-mlogloss:1.252778+0.036729
## [433] train-mlogloss:0.001911+0.000011 test-mlogloss:1.253090+0.036042
## [434] train-mlogloss:0.001908+0.000011 test-mlogloss:1.252500+0.036051
## [435] train-mlogloss:0.001906+0.000011 test-mlogloss:1.253029+0.035999
## [436] train-mlogloss:0.001904+0.000010 test-mlogloss:1.253252+0.035650
## [437] train-mlogloss:0.001901+0.000011 test-mlogloss:1.253092+0.035416
## [438] train-mlogloss:0.001898+0.000011 test-mlogloss:1.253816+0.035313
## [439] train-mlogloss:0.001896+0.000011 test-mlogloss:1.253070+0.035102
## [440] train-mlogloss:0.001894+0.000011 test-mlogloss:1.253423+0.035493
## [441] train-mlogloss:0.001891+0.000010 test-mlogloss:1.253805+0.035439
## [442] train-mlogloss:0.001889+0.000011 test-mlogloss:1.253173+0.035820
## [443] train-mlogloss:0.001887+0.000011 test-mlogloss:1.254475+0.036269
## [444] train-mlogloss:0.001884+0.000010 test-mlogloss:1.254137+0.035807
## [445] train-mlogloss:0.001882+0.000010 test-mlogloss:1.253915+0.036917
## [446] train-mlogloss:0.001880+0.000010 test-mlogloss:1.255225+0.037100
## [447] train-mlogloss:0.001877+0.000010 test-mlogloss:1.254974+0.035742
## [448] train-mlogloss:0.001876+0.000009 test-mlogloss:1.256736+0.036377
## [449] train-mlogloss:0.001873+0.000010 test-mlogloss:1.256285+0.036182
## [450] train-mlogloss:0.001871+0.000009 test-mlogloss:1.255554+0.036683
## [451] train-mlogloss:0.001869+0.000009 test-mlogloss:1.256095+0.037443
## [452] train-mlogloss:0.001868+0.000010 test-mlogloss:1.255888+0.037871
## [453] train-mlogloss:0.001865+0.000010 test-mlogloss:1.255687+0.037392
## [454] train-mlogloss:0.001863+0.000010 test-mlogloss:1.256012+0.037137
## [455] train-mlogloss:0.001860+0.000011 test-mlogloss:1.256858+0.037738
## [456] train-mlogloss:0.001858+0.000010 test-mlogloss:1.257925+0.037434
## [457] train-mlogloss:0.001856+0.000010 test-mlogloss:1.257826+0.036293
## [458] train-mlogloss:0.001854+0.000011 test-mlogloss:1.257779+0.037123
## [459] train-mlogloss:0.001851+0.000011 test-mlogloss:1.258465+0.036851
## [460] train-mlogloss:0.001849+0.000011 test-mlogloss:1.258309+0.036259
## [461] train-mlogloss:0.001847+0.000011 test-mlogloss:1.259236+0.035494
## [462] train-mlogloss:0.001844+0.000011 test-mlogloss:1.259439+0.035594
## [463] train-mlogloss:0.001842+0.000011 test-mlogloss:1.259866+0.035587
## [464] train-mlogloss:0.001840+0.000011 test-mlogloss:1.261294+0.036211
## [465] train-mlogloss:0.001838+0.000012 test-mlogloss:1.260350+0.036461
## [466] train-mlogloss:0.001836+0.000011 test-mlogloss:1.260855+0.036422
## [467] train-mlogloss:0.001834+0.000013 test-mlogloss:1.261148+0.036859
## [468] train-mlogloss:0.001832+0.000012 test-mlogloss:1.260764+0.037212
## [469] train-mlogloss:0.001831+0.000012 test-mlogloss:1.261542+0.037867
## [470] train-mlogloss:0.001828+0.000012 test-mlogloss:1.261501+0.038507
## [471] train-mlogloss:0.001826+0.000012 test-mlogloss:1.261910+0.038611
## [472] train-mlogloss:0.001824+0.000012 test-mlogloss:1.261954+0.038295
## [473] train-mlogloss:0.001821+0.000012 test-mlogloss:1.261582+0.038680
## [474] train-mlogloss:0.001819+0.000012 test-mlogloss:1.260860+0.038211
## [475] train-mlogloss:0.001816+0.000012 test-mlogloss:1.262202+0.038651
## [476] train-mlogloss:0.001815+0.000012 test-mlogloss:1.262116+0.038168
## [477] train-mlogloss:0.001812+0.000013 test-mlogloss:1.262343+0.038528
## [478] train-mlogloss:0.001810+0.000012 test-mlogloss:1.262577+0.038468
## [479] train-mlogloss:0.001808+0.000012 test-mlogloss:1.262362+0.037610
## [480] train-mlogloss:0.001806+0.000012 test-mlogloss:1.262655+0.037118
## [481] train-mlogloss:0.001804+0.000012 test-mlogloss:1.262593+0.037235
## [482] train-mlogloss:0.001801+0.000012 test-mlogloss:1.263047+0.037869
## [483] train-mlogloss:0.001799+0.000012 test-mlogloss:1.263136+0.037782
## [484] train-mlogloss:0.001797+0.000013 test-mlogloss:1.263645+0.038012
## [485] train-mlogloss:0.001795+0.000013 test-mlogloss:1.263595+0.037757
## [486] train-mlogloss:0.001793+0.000013 test-mlogloss:1.263321+0.037660
## [487] train-mlogloss:0.001790+0.000012 test-mlogloss:1.264480+0.037864
## [488] train-mlogloss:0.001788+0.000011 test-mlogloss:1.264790+0.037659
## [489] train-mlogloss:0.001786+0.000012 test-mlogloss:1.265404+0.037280
## [490] train-mlogloss:0.001784+0.000012 test-mlogloss:1.266175+0.036547
## [491] train-mlogloss:0.001782+0.000012 test-mlogloss:1.266509+0.036424
## [492] train-mlogloss:0.001781+0.000011 test-mlogloss:1.265955+0.036295
## [493] train-mlogloss:0.001779+0.000012 test-mlogloss:1.265971+0.036242
## [494] train-mlogloss:0.001776+0.000012 test-mlogloss:1.266451+0.036317
## [495] train-mlogloss:0.001775+0.000011 test-mlogloss:1.266325+0.037193
## [496] train-mlogloss:0.001773+0.000012 test-mlogloss:1.265983+0.036748
## [497] train-mlogloss:0.001771+0.000012 test-mlogloss:1.267373+0.036722
## [498] train-mlogloss:0.001769+0.000012 test-mlogloss:1.266710+0.036395
## [499] train-mlogloss:0.001766+0.000011 test-mlogloss:1.266374+0.036782
## [500] train-mlogloss:0.001765+0.000011 test-mlogloss:1.266358+0.036804
## [1] train-mlogloss:0.613909+0.000772 test-mlogloss:0.621440+0.001830
## [2] train-mlogloss:0.569720+0.001291 test-mlogloss:0.583227+0.003793
## [3] train-mlogloss:0.541920+0.001672 test-mlogloss:0.561834+0.005199
## [4] train-mlogloss:0.523571+0.001797 test-mlogloss:0.549646+0.005338
## [5] train-mlogloss:0.510900+0.001799 test-mlogloss:0.542345+0.005670
## [6] train-mlogloss:0.501551+0.002181 test-mlogloss:0.538598+0.005967
## [7] train-mlogloss:0.494412+0.002281 test-mlogloss:0.536290+0.006765
## [8] train-mlogloss:0.488496+0.001968 test-mlogloss:0.534766+0.006684
## [9] train-mlogloss:0.483670+0.001990 test-mlogloss:0.533990+0.007597
## [10] train-mlogloss:0.479125+0.001986 test-mlogloss:0.533998+0.008529
## [11] train-mlogloss:0.475340+0.002054 test-mlogloss:0.534170+0.008653
## [12] train-mlogloss:0.472236+0.002030 test-mlogloss:0.534626+0.008595
## [13] train-mlogloss:0.469337+0.001672 test-mlogloss:0.534485+0.008848
## [14] train-mlogloss:0.466144+0.001624 test-mlogloss:0.534572+0.009301
## [15] train-mlogloss:0.462911+0.001783 test-mlogloss:0.534793+0.009254
## [16] train-mlogloss:0.459566+0.002075 test-mlogloss:0.535226+0.009490
## [17] train-mlogloss:0.456159+0.002094 test-mlogloss:0.536182+0.009947
## [18] train-mlogloss:0.452760+0.001785 test-mlogloss:0.536949+0.010229
## [19] train-mlogloss:0.449883+0.002569 test-mlogloss:0.537699+0.010358
## [20] train-mlogloss:0.446417+0.002375 test-mlogloss:0.538051+0.010315
## [21] train-mlogloss:0.443731+0.002064 test-mlogloss:0.538564+0.010139
## [22] train-mlogloss:0.441003+0.002402 test-mlogloss:0.538983+0.010207
## [23] train-mlogloss:0.437999+0.002739 test-mlogloss:0.539308+0.009914
## [24] train-mlogloss:0.435040+0.002297 test-mlogloss:0.539803+0.009990
## [25] train-mlogloss:0.431489+0.002275 test-mlogloss:0.541137+0.009980
## [26] train-mlogloss:0.428446+0.002409 test-mlogloss:0.541990+0.010172
## [27] train-mlogloss:0.425313+0.002737 test-mlogloss:0.542354+0.010072
## [28] train-mlogloss:0.423235+0.003330 test-mlogloss:0.542517+0.010233
## [29] train-mlogloss:0.419975+0.003311 test-mlogloss:0.543335+0.010612
## [30] train-mlogloss:0.416652+0.003225 test-mlogloss:0.543358+0.010302
## [31] train-mlogloss:0.413968+0.003299 test-mlogloss:0.543587+0.011044
## [32] train-mlogloss:0.410918+0.002937 test-mlogloss:0.544346+0.011197
## [33] train-mlogloss:0.408027+0.002656 test-mlogloss:0.545317+0.011577
## [34] train-mlogloss:0.405164+0.002619 test-mlogloss:0.546255+0.012064
## [35] train-mlogloss:0.402135+0.003198 test-mlogloss:0.546920+0.012359
## [36] train-mlogloss:0.398614+0.002760 test-mlogloss:0.548023+0.012024
## [37] train-mlogloss:0.396219+0.002836 test-mlogloss:0.548488+0.012370
## [38] train-mlogloss:0.393791+0.003079 test-mlogloss:0.549217+0.012472
## [39] train-mlogloss:0.390934+0.002374 test-mlogloss:0.550120+0.012558
## [40] train-mlogloss:0.388611+0.002485 test-mlogloss:0.550799+0.011889
## [41] train-mlogloss:0.385707+0.002403 test-mlogloss:0.551595+0.011409
## [42] train-mlogloss:0.382648+0.002851 test-mlogloss:0.552350+0.011172
## [43] train-mlogloss:0.380065+0.003179 test-mlogloss:0.553186+0.011275
## [44] train-mlogloss:0.377418+0.003213 test-mlogloss:0.553566+0.011168
## [45] train-mlogloss:0.374896+0.003268 test-mlogloss:0.553501+0.011757
## [46] train-mlogloss:0.372206+0.002980 test-mlogloss:0.554088+0.012228
## [47] train-mlogloss:0.369323+0.003414 test-mlogloss:0.554888+0.012273
## [48] train-mlogloss:0.366881+0.003497 test-mlogloss:0.555255+0.012064
## [49] train-mlogloss:0.364625+0.002898 test-mlogloss:0.556012+0.012522
## [50] train-mlogloss:0.362034+0.003039 test-mlogloss:0.556505+0.012622
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## [52] train-mlogloss:0.357450+0.003650 test-mlogloss:0.557472+0.012028
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## [54] train-mlogloss:0.352692+0.003233 test-mlogloss:0.558026+0.012321
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## [57] train-mlogloss:0.345517+0.003291 test-mlogloss:0.560319+0.013041
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## [65] train-mlogloss:0.327799+0.003742 test-mlogloss:0.565577+0.012622
## [66] train-mlogloss:0.325608+0.003931 test-mlogloss:0.566359+0.012712
## [67] train-mlogloss:0.323580+0.004038 test-mlogloss:0.566718+0.012676
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## [79] train-mlogloss:0.298300+0.004071 test-mlogloss:0.575289+0.013145
## [80] train-mlogloss:0.296884+0.004297 test-mlogloss:0.576047+0.012954
## [81] train-mlogloss:0.294840+0.004361 test-mlogloss:0.577137+0.013382
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## [84] train-mlogloss:0.289815+0.004252 test-mlogloss:0.578385+0.013406
## [85] train-mlogloss:0.287904+0.004257 test-mlogloss:0.578639+0.013282
## [86] train-mlogloss:0.286236+0.004298 test-mlogloss:0.579047+0.013388
## [87] train-mlogloss:0.284319+0.004735 test-mlogloss:0.578946+0.013219
## [88] train-mlogloss:0.282724+0.004526 test-mlogloss:0.579891+0.013262
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## [94] train-mlogloss:0.272371+0.004572 test-mlogloss:0.584236+0.013343
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## [96] train-mlogloss:0.269015+0.004528 test-mlogloss:0.585592+0.013962
## [97] train-mlogloss:0.266862+0.004646 test-mlogloss:0.586634+0.013935
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## [99] train-mlogloss:0.262894+0.004598 test-mlogloss:0.588550+0.014147
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## [101] train-mlogloss:0.259612+0.004487 test-mlogloss:0.589556+0.014576
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## [103] train-mlogloss:0.256175+0.004592 test-mlogloss:0.590558+0.014845
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## [254] train-mlogloss:0.103984+0.001607 test-mlogloss:0.685264+0.020515
## [255] train-mlogloss:0.103281+0.001387 test-mlogloss:0.685834+0.020459
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## [263] train-mlogloss:0.098845+0.001168 test-mlogloss:0.690663+0.019871
## [264] train-mlogloss:0.098327+0.001169 test-mlogloss:0.691096+0.019970
## [265] train-mlogloss:0.097888+0.001240 test-mlogloss:0.691416+0.019875
## [266] train-mlogloss:0.097348+0.001195 test-mlogloss:0.691961+0.020135
## [267] train-mlogloss:0.096702+0.001271 test-mlogloss:0.692681+0.020615
## [268] train-mlogloss:0.096214+0.001331 test-mlogloss:0.693388+0.020450
## [269] train-mlogloss:0.095761+0.001429 test-mlogloss:0.693985+0.020164
## [270] train-mlogloss:0.095206+0.001447 test-mlogloss:0.694555+0.020178
## [271] train-mlogloss:0.094691+0.001457 test-mlogloss:0.694895+0.020133
## [272] train-mlogloss:0.094155+0.001399 test-mlogloss:0.695229+0.019788
## [273] train-mlogloss:0.093626+0.001456 test-mlogloss:0.695769+0.019728
## [274] train-mlogloss:0.093086+0.001414 test-mlogloss:0.696113+0.019115
## [275] train-mlogloss:0.092509+0.001384 test-mlogloss:0.696598+0.018648
## [276] train-mlogloss:0.092085+0.001439 test-mlogloss:0.697016+0.018784
## [277] train-mlogloss:0.091590+0.001470 test-mlogloss:0.697676+0.019101
## [278] train-mlogloss:0.091072+0.001447 test-mlogloss:0.698125+0.019340
## [279] train-mlogloss:0.090643+0.001513 test-mlogloss:0.698831+0.019502
## [280] train-mlogloss:0.090162+0.001545 test-mlogloss:0.699276+0.019509
## [281] train-mlogloss:0.089580+0.001458 test-mlogloss:0.699607+0.019596
## [282] train-mlogloss:0.089139+0.001388 test-mlogloss:0.700165+0.019548
## [283] train-mlogloss:0.088749+0.001398 test-mlogloss:0.700576+0.019674
## [284] train-mlogloss:0.088254+0.001400 test-mlogloss:0.701014+0.019514
## [285] train-mlogloss:0.087782+0.001343 test-mlogloss:0.701327+0.019522
## [286] train-mlogloss:0.087333+0.001400 test-mlogloss:0.701921+0.019849
## [287] train-mlogloss:0.086951+0.001347 test-mlogloss:0.702643+0.019475
## [288] train-mlogloss:0.086416+0.001333 test-mlogloss:0.703209+0.019222
## [289] train-mlogloss:0.085987+0.001317 test-mlogloss:0.704172+0.019122
## [290] train-mlogloss:0.085493+0.001397 test-mlogloss:0.704749+0.018933
## [291] train-mlogloss:0.084974+0.001523 test-mlogloss:0.705608+0.019100
## [292] train-mlogloss:0.084582+0.001483 test-mlogloss:0.706648+0.019269
## [293] train-mlogloss:0.084097+0.001505 test-mlogloss:0.706982+0.019250
## [294] train-mlogloss:0.083682+0.001553 test-mlogloss:0.707318+0.019185
## [295] train-mlogloss:0.083112+0.001460 test-mlogloss:0.707867+0.018892
## [296] train-mlogloss:0.082684+0.001518 test-mlogloss:0.708689+0.018612
## [297] train-mlogloss:0.082293+0.001487 test-mlogloss:0.709632+0.018887
## [298] train-mlogloss:0.081880+0.001460 test-mlogloss:0.710139+0.018947
## [299] train-mlogloss:0.081508+0.001470 test-mlogloss:0.710456+0.019144
## [300] train-mlogloss:0.081128+0.001542 test-mlogloss:0.710834+0.019077
## [301] train-mlogloss:0.080696+0.001522 test-mlogloss:0.711095+0.018920
## [302] train-mlogloss:0.080248+0.001547 test-mlogloss:0.711650+0.018970
## [303] train-mlogloss:0.079851+0.001473 test-mlogloss:0.712692+0.018763
## [304] train-mlogloss:0.079508+0.001489 test-mlogloss:0.713090+0.019124
## [305] train-mlogloss:0.079130+0.001510 test-mlogloss:0.713966+0.018981
## [306] train-mlogloss:0.078681+0.001511 test-mlogloss:0.714312+0.018891
## [307] train-mlogloss:0.078330+0.001513 test-mlogloss:0.714785+0.019044
## [308] train-mlogloss:0.077938+0.001406 test-mlogloss:0.715780+0.018961
## [309] train-mlogloss:0.077533+0.001414 test-mlogloss:0.716231+0.018561
## [310] train-mlogloss:0.077076+0.001412 test-mlogloss:0.716697+0.018164
## [311] train-mlogloss:0.076684+0.001434 test-mlogloss:0.717074+0.018137
## [312] train-mlogloss:0.076253+0.001354 test-mlogloss:0.717213+0.018369
## [313] train-mlogloss:0.075892+0.001377 test-mlogloss:0.717706+0.018263
## [314] train-mlogloss:0.075440+0.001352 test-mlogloss:0.717741+0.018279
## [315] train-mlogloss:0.075073+0.001331 test-mlogloss:0.717976+0.017922
## [316] train-mlogloss:0.074583+0.001371 test-mlogloss:0.718348+0.018253
## [317] train-mlogloss:0.074149+0.001354 test-mlogloss:0.718848+0.018169
## [318] train-mlogloss:0.073729+0.001316 test-mlogloss:0.719654+0.018328
## [319] train-mlogloss:0.073402+0.001286 test-mlogloss:0.719910+0.018250
## [320] train-mlogloss:0.073058+0.001291 test-mlogloss:0.720505+0.018468
## [321] train-mlogloss:0.072656+0.001262 test-mlogloss:0.721428+0.018491
## [322] train-mlogloss:0.072260+0.001290 test-mlogloss:0.722295+0.018697
## [323] train-mlogloss:0.071851+0.001307 test-mlogloss:0.722836+0.019197
## [324] train-mlogloss:0.071521+0.001292 test-mlogloss:0.723201+0.018941
## [325] train-mlogloss:0.071171+0.001285 test-mlogloss:0.723613+0.018945
## [326] train-mlogloss:0.070795+0.001238 test-mlogloss:0.724173+0.018326
## [327] train-mlogloss:0.070438+0.001281 test-mlogloss:0.724536+0.018806
## [328] train-mlogloss:0.069946+0.001223 test-mlogloss:0.725029+0.019025
## [329] train-mlogloss:0.069555+0.001236 test-mlogloss:0.725808+0.019620
## [330] train-mlogloss:0.069170+0.001211 test-mlogloss:0.726624+0.019732
## [331] train-mlogloss:0.068811+0.001213 test-mlogloss:0.727345+0.019903
## [332] train-mlogloss:0.068416+0.001198 test-mlogloss:0.728406+0.020013
## [333] train-mlogloss:0.068020+0.001260 test-mlogloss:0.728716+0.020037
## [334] train-mlogloss:0.067746+0.001171 test-mlogloss:0.729187+0.019902
## [335] train-mlogloss:0.067452+0.001194 test-mlogloss:0.729581+0.020161
## [336] train-mlogloss:0.067142+0.001183 test-mlogloss:0.730082+0.020334
## [337] train-mlogloss:0.066832+0.001142 test-mlogloss:0.730440+0.020399
## [338] train-mlogloss:0.066547+0.001095 test-mlogloss:0.731071+0.020749
## [339] train-mlogloss:0.066196+0.001122 test-mlogloss:0.731615+0.020997
## [340] train-mlogloss:0.065887+0.001109 test-mlogloss:0.732095+0.020919
## [341] train-mlogloss:0.065483+0.001110 test-mlogloss:0.732738+0.021046
## [342] train-mlogloss:0.065157+0.001134 test-mlogloss:0.733399+0.021190
## [343] train-mlogloss:0.064850+0.001127 test-mlogloss:0.734153+0.021549
## [344] train-mlogloss:0.064511+0.001138 test-mlogloss:0.734637+0.021778
## [345] train-mlogloss:0.064215+0.001164 test-mlogloss:0.734925+0.021791
## [346] train-mlogloss:0.063932+0.001119 test-mlogloss:0.735457+0.021786
## [347] train-mlogloss:0.063564+0.001113 test-mlogloss:0.736146+0.022105
## [348] train-mlogloss:0.063215+0.001118 test-mlogloss:0.736685+0.021832
## [349] train-mlogloss:0.062822+0.001087 test-mlogloss:0.737368+0.021514
## [350] train-mlogloss:0.062486+0.001063 test-mlogloss:0.738289+0.021555
## [351] train-mlogloss:0.062200+0.001066 test-mlogloss:0.738480+0.021653
## [352] train-mlogloss:0.061839+0.001040 test-mlogloss:0.739531+0.021692
## [353] train-mlogloss:0.061489+0.001025 test-mlogloss:0.740325+0.021435
## [354] train-mlogloss:0.061163+0.001020 test-mlogloss:0.741311+0.021248
## [355] train-mlogloss:0.060850+0.001038 test-mlogloss:0.741843+0.021804
## [356] train-mlogloss:0.060530+0.001033 test-mlogloss:0.742541+0.021787
## [357] train-mlogloss:0.060196+0.000995 test-mlogloss:0.743476+0.021606
## [358] train-mlogloss:0.059919+0.001014 test-mlogloss:0.744011+0.021819
## [359] train-mlogloss:0.059607+0.001050 test-mlogloss:0.744574+0.021906
## [360] train-mlogloss:0.059333+0.001060 test-mlogloss:0.745003+0.021572
## [361] train-mlogloss:0.059063+0.001003 test-mlogloss:0.745632+0.021945
## [362] train-mlogloss:0.058746+0.001009 test-mlogloss:0.746105+0.022148
## [363] train-mlogloss:0.058540+0.001021 test-mlogloss:0.746431+0.022196
## [364] train-mlogloss:0.058251+0.000996 test-mlogloss:0.747017+0.022021
## [365] train-mlogloss:0.057949+0.001024 test-mlogloss:0.747633+0.021981
## [366] train-mlogloss:0.057627+0.000991 test-mlogloss:0.748175+0.021974
## [367] train-mlogloss:0.057362+0.000984 test-mlogloss:0.748409+0.021658
## [368] train-mlogloss:0.057064+0.000966 test-mlogloss:0.749147+0.021543
## [369] train-mlogloss:0.056794+0.000957 test-mlogloss:0.749268+0.021419
## [370] train-mlogloss:0.056503+0.000953 test-mlogloss:0.749794+0.021592
## [371] train-mlogloss:0.056205+0.000996 test-mlogloss:0.749979+0.021707
## [372] train-mlogloss:0.055952+0.001036 test-mlogloss:0.750576+0.021418
## [373] train-mlogloss:0.055697+0.001000 test-mlogloss:0.751046+0.021508
## [374] train-mlogloss:0.055430+0.000976 test-mlogloss:0.751616+0.021873
## [375] train-mlogloss:0.055107+0.000980 test-mlogloss:0.752180+0.021618
## [376] train-mlogloss:0.054777+0.000976 test-mlogloss:0.752607+0.021339
## [377] train-mlogloss:0.054500+0.000993 test-mlogloss:0.753503+0.021642
## [378] train-mlogloss:0.054212+0.000947 test-mlogloss:0.754113+0.021543
## [379] train-mlogloss:0.053925+0.000978 test-mlogloss:0.754691+0.021458
## [380] train-mlogloss:0.053707+0.000984 test-mlogloss:0.755258+0.021129
## [381] train-mlogloss:0.053406+0.000960 test-mlogloss:0.755748+0.021099
## [382] train-mlogloss:0.053134+0.000933 test-mlogloss:0.756450+0.020935
## [383] train-mlogloss:0.052885+0.000957 test-mlogloss:0.756986+0.021156
## [384] train-mlogloss:0.052656+0.000954 test-mlogloss:0.757655+0.021074
## [385] train-mlogloss:0.052389+0.000942 test-mlogloss:0.758397+0.021208
## [386] train-mlogloss:0.052163+0.000902 test-mlogloss:0.759279+0.021267
## [387] train-mlogloss:0.051914+0.000891 test-mlogloss:0.759889+0.021097
## [388] train-mlogloss:0.051665+0.000857 test-mlogloss:0.760510+0.021048
## [389] train-mlogloss:0.051417+0.000820 test-mlogloss:0.761125+0.021061
## [390] train-mlogloss:0.051215+0.000794 test-mlogloss:0.761360+0.021063
## [391] train-mlogloss:0.050974+0.000812 test-mlogloss:0.761813+0.020996
## [392] train-mlogloss:0.050807+0.000798 test-mlogloss:0.762285+0.020736
## [393] train-mlogloss:0.050551+0.000782 test-mlogloss:0.762710+0.020826
## [394] train-mlogloss:0.050319+0.000788 test-mlogloss:0.763626+0.020837
## [395] train-mlogloss:0.050066+0.000803 test-mlogloss:0.764411+0.020604
## [396] train-mlogloss:0.049807+0.000802 test-mlogloss:0.765189+0.020420
## [397] train-mlogloss:0.049562+0.000771 test-mlogloss:0.765864+0.019908
## [398] train-mlogloss:0.049375+0.000747 test-mlogloss:0.766589+0.019797
## [399] train-mlogloss:0.049167+0.000733 test-mlogloss:0.767009+0.019919
## [400] train-mlogloss:0.048916+0.000713 test-mlogloss:0.767906+0.019784
## [401] train-mlogloss:0.048665+0.000716 test-mlogloss:0.768332+0.020020
## [402] train-mlogloss:0.048461+0.000703 test-mlogloss:0.768686+0.019958
## [403] train-mlogloss:0.048260+0.000718 test-mlogloss:0.769378+0.020298
## [404] train-mlogloss:0.048021+0.000752 test-mlogloss:0.770103+0.020257
## [405] train-mlogloss:0.047811+0.000707 test-mlogloss:0.770568+0.019997
## [406] train-mlogloss:0.047596+0.000661 test-mlogloss:0.771297+0.019986
## [407] train-mlogloss:0.047393+0.000644 test-mlogloss:0.771901+0.019891
## [408] train-mlogloss:0.047160+0.000615 test-mlogloss:0.772406+0.019876
## [409] train-mlogloss:0.046948+0.000612 test-mlogloss:0.773103+0.020080
## [410] train-mlogloss:0.046744+0.000635 test-mlogloss:0.774044+0.020118
## [411] train-mlogloss:0.046548+0.000640 test-mlogloss:0.774341+0.020066
## [412] train-mlogloss:0.046304+0.000595 test-mlogloss:0.774152+0.019996
## [413] train-mlogloss:0.046090+0.000578 test-mlogloss:0.774880+0.019954
## [414] train-mlogloss:0.045883+0.000572 test-mlogloss:0.775232+0.020017
## [415] train-mlogloss:0.045645+0.000568 test-mlogloss:0.776241+0.019661
## [416] train-mlogloss:0.045411+0.000575 test-mlogloss:0.776811+0.020013
## [417] train-mlogloss:0.045208+0.000524 test-mlogloss:0.777284+0.020111
## [418] train-mlogloss:0.044980+0.000540 test-mlogloss:0.777466+0.019884
## [419] train-mlogloss:0.044790+0.000549 test-mlogloss:0.778152+0.020021
## [420] train-mlogloss:0.044532+0.000523 test-mlogloss:0.778867+0.019817
## [421] train-mlogloss:0.044379+0.000523 test-mlogloss:0.779612+0.020028
## [422] train-mlogloss:0.044186+0.000505 test-mlogloss:0.780089+0.019619
## [423] train-mlogloss:0.043975+0.000486 test-mlogloss:0.780508+0.019675
## [424] train-mlogloss:0.043769+0.000504 test-mlogloss:0.780784+0.019564
## [425] train-mlogloss:0.043583+0.000500 test-mlogloss:0.781382+0.019415
## [426] train-mlogloss:0.043408+0.000509 test-mlogloss:0.781657+0.019462
## [427] train-mlogloss:0.043214+0.000468 test-mlogloss:0.782171+0.019316
## [428] train-mlogloss:0.043027+0.000468 test-mlogloss:0.783015+0.019351
## [429] train-mlogloss:0.042884+0.000476 test-mlogloss:0.783376+0.019322
## [430] train-mlogloss:0.042679+0.000463 test-mlogloss:0.784155+0.019355
## [431] train-mlogloss:0.042482+0.000470 test-mlogloss:0.784729+0.019419
## [432] train-mlogloss:0.042246+0.000492 test-mlogloss:0.785299+0.019385
## [433] train-mlogloss:0.042079+0.000501 test-mlogloss:0.785924+0.019397
## [434] train-mlogloss:0.041870+0.000522 test-mlogloss:0.786509+0.019498
## [435] train-mlogloss:0.041663+0.000513 test-mlogloss:0.786965+0.019451
## [436] train-mlogloss:0.041477+0.000540 test-mlogloss:0.787805+0.019583
## [437] train-mlogloss:0.041282+0.000522 test-mlogloss:0.787786+0.019787
## [438] train-mlogloss:0.041072+0.000497 test-mlogloss:0.788196+0.019963
## [439] train-mlogloss:0.040887+0.000517 test-mlogloss:0.788725+0.020348
## [440] train-mlogloss:0.040712+0.000507 test-mlogloss:0.789333+0.020056
## [441] train-mlogloss:0.040537+0.000511 test-mlogloss:0.789874+0.019893
## [442] train-mlogloss:0.040356+0.000522 test-mlogloss:0.790450+0.019729
## [443] train-mlogloss:0.040176+0.000505 test-mlogloss:0.791199+0.019584
## [444] train-mlogloss:0.040020+0.000505 test-mlogloss:0.791826+0.020013
## [445] train-mlogloss:0.039827+0.000514 test-mlogloss:0.792281+0.019855
## [446] train-mlogloss:0.039651+0.000490 test-mlogloss:0.792739+0.019794
## [447] train-mlogloss:0.039481+0.000486 test-mlogloss:0.793130+0.019766
## [448] train-mlogloss:0.039323+0.000475 test-mlogloss:0.793611+0.020310
## [449] train-mlogloss:0.039149+0.000479 test-mlogloss:0.794107+0.019885
## [450] train-mlogloss:0.039023+0.000488 test-mlogloss:0.794524+0.019707
## [451] train-mlogloss:0.038839+0.000491 test-mlogloss:0.794819+0.019942
## [452] train-mlogloss:0.038692+0.000503 test-mlogloss:0.795463+0.019896
## [453] train-mlogloss:0.038489+0.000501 test-mlogloss:0.795963+0.019855
## [454] train-mlogloss:0.038293+0.000495 test-mlogloss:0.796474+0.019989
## [455] train-mlogloss:0.038105+0.000488 test-mlogloss:0.797096+0.019836
## [456] train-mlogloss:0.037952+0.000480 test-mlogloss:0.797747+0.019755
## [457] train-mlogloss:0.037785+0.000482 test-mlogloss:0.798193+0.019578
## [458] train-mlogloss:0.037639+0.000467 test-mlogloss:0.798381+0.019629
## [459] train-mlogloss:0.037492+0.000487 test-mlogloss:0.799109+0.019623
## [460] train-mlogloss:0.037331+0.000488 test-mlogloss:0.799954+0.019491
## [461] train-mlogloss:0.037166+0.000473 test-mlogloss:0.800455+0.019383
## [462] train-mlogloss:0.037031+0.000477 test-mlogloss:0.801373+0.019548
## [463] train-mlogloss:0.036875+0.000466 test-mlogloss:0.801787+0.019609
## [464] train-mlogloss:0.036704+0.000450 test-mlogloss:0.802104+0.019779
## [465] train-mlogloss:0.036556+0.000463 test-mlogloss:0.802771+0.019887
## [466] train-mlogloss:0.036389+0.000443 test-mlogloss:0.803143+0.019847
## [467] train-mlogloss:0.036241+0.000433 test-mlogloss:0.803805+0.019746
## [468] train-mlogloss:0.036077+0.000405 test-mlogloss:0.804108+0.019765
## [469] train-mlogloss:0.035938+0.000401 test-mlogloss:0.804301+0.019853
## [470] train-mlogloss:0.035806+0.000396 test-mlogloss:0.804809+0.020208
## [471] train-mlogloss:0.035642+0.000387 test-mlogloss:0.805347+0.020146
## [472] train-mlogloss:0.035496+0.000369 test-mlogloss:0.806212+0.020384
## [473] train-mlogloss:0.035322+0.000366 test-mlogloss:0.806505+0.020583
## [474] train-mlogloss:0.035171+0.000353 test-mlogloss:0.807135+0.021091
## [475] train-mlogloss:0.035018+0.000319 test-mlogloss:0.808145+0.020935
## [476] train-mlogloss:0.034857+0.000302 test-mlogloss:0.808642+0.020788
## [477] train-mlogloss:0.034742+0.000304 test-mlogloss:0.809196+0.020737
## [478] train-mlogloss:0.034595+0.000312 test-mlogloss:0.809923+0.020932
## [479] train-mlogloss:0.034425+0.000265 test-mlogloss:0.810557+0.020908
## [480] train-mlogloss:0.034279+0.000270 test-mlogloss:0.811363+0.020927
## [481] train-mlogloss:0.034141+0.000269 test-mlogloss:0.811864+0.021197
## [482] train-mlogloss:0.033987+0.000279 test-mlogloss:0.812644+0.021065
## [483] train-mlogloss:0.033851+0.000274 test-mlogloss:0.813054+0.020989
## [484] train-mlogloss:0.033712+0.000294 test-mlogloss:0.813704+0.021022
## [485] train-mlogloss:0.033604+0.000292 test-mlogloss:0.814150+0.020809
## [486] train-mlogloss:0.033477+0.000291 test-mlogloss:0.814778+0.020804
## [487] train-mlogloss:0.033325+0.000297 test-mlogloss:0.815082+0.020399
## [488] train-mlogloss:0.033200+0.000317 test-mlogloss:0.815340+0.020472
## [489] train-mlogloss:0.033065+0.000283 test-mlogloss:0.815677+0.020311
## [490] train-mlogloss:0.032947+0.000291 test-mlogloss:0.816380+0.020170
## [491] train-mlogloss:0.032800+0.000295 test-mlogloss:0.817196+0.020564
## [492] train-mlogloss:0.032667+0.000291 test-mlogloss:0.817808+0.020565
## [493] train-mlogloss:0.032546+0.000283 test-mlogloss:0.818335+0.020541
## [494] train-mlogloss:0.032407+0.000280 test-mlogloss:0.818862+0.020705
## [495] train-mlogloss:0.032281+0.000259 test-mlogloss:0.819513+0.020967
## [496] train-mlogloss:0.032188+0.000232 test-mlogloss:0.819873+0.020985
## [497] train-mlogloss:0.032054+0.000252 test-mlogloss:0.820611+0.021268
## [498] train-mlogloss:0.031912+0.000252 test-mlogloss:0.821043+0.021155
## [499] train-mlogloss:0.031762+0.000241 test-mlogloss:0.821570+0.021118
## [500] train-mlogloss:0.031624+0.000232 test-mlogloss:0.822322+0.021264
## [1] train-mlogloss:0.531294+0.000691 test-mlogloss:0.630232+0.003602
## [2] train-mlogloss:0.429363+0.001665 test-mlogloss:0.598463+0.005241
## [3] train-mlogloss:0.354018+0.001506 test-mlogloss:0.581927+0.006630
## [4] train-mlogloss:0.296779+0.001215 test-mlogloss:0.573622+0.006685
## [5] train-mlogloss:0.251067+0.001198 test-mlogloss:0.570464+0.009260
## [6] train-mlogloss:0.215473+0.000867 test-mlogloss:0.569338+0.010752
## [7] train-mlogloss:0.187410+0.000710 test-mlogloss:0.572099+0.010752
## [8] train-mlogloss:0.165316+0.001116 test-mlogloss:0.575131+0.013363
## [9] train-mlogloss:0.146583+0.001237 test-mlogloss:0.579633+0.014082
## [10] train-mlogloss:0.132128+0.001455 test-mlogloss:0.584902+0.013483
## [11] train-mlogloss:0.119995+0.001719 test-mlogloss:0.590448+0.014736
## [12] train-mlogloss:0.110767+0.002352 test-mlogloss:0.596077+0.016053
## [13] train-mlogloss:0.101989+0.002343 test-mlogloss:0.600207+0.017715
## [14] train-mlogloss:0.095819+0.001834 test-mlogloss:0.604845+0.017625
## [15] train-mlogloss:0.089842+0.002382 test-mlogloss:0.609126+0.018463
## [16] train-mlogloss:0.084623+0.001405 test-mlogloss:0.612761+0.018059
## [17] train-mlogloss:0.080742+0.001728 test-mlogloss:0.616244+0.018860
## [18] train-mlogloss:0.075881+0.001642 test-mlogloss:0.621290+0.018920
## [19] train-mlogloss:0.071561+0.001889 test-mlogloss:0.625214+0.019893
## [20] train-mlogloss:0.067532+0.001748 test-mlogloss:0.629027+0.019981
## [21] train-mlogloss:0.064026+0.001594 test-mlogloss:0.632517+0.020223
## [22] train-mlogloss:0.061017+0.001405 test-mlogloss:0.635733+0.020509
## [23] train-mlogloss:0.058119+0.001569 test-mlogloss:0.639600+0.021336
## [24] train-mlogloss:0.055374+0.001532 test-mlogloss:0.644533+0.020997
## [25] train-mlogloss:0.052759+0.001441 test-mlogloss:0.646677+0.021360
## [26] train-mlogloss:0.050485+0.001503 test-mlogloss:0.650983+0.021990
## [27] train-mlogloss:0.048023+0.001532 test-mlogloss:0.654883+0.022447
## [28] train-mlogloss:0.045977+0.001726 test-mlogloss:0.658284+0.022814
## [29] train-mlogloss:0.043813+0.001563 test-mlogloss:0.662314+0.023106
## [30] train-mlogloss:0.041978+0.001422 test-mlogloss:0.665853+0.023145
## [31] train-mlogloss:0.040419+0.001283 test-mlogloss:0.668801+0.023840
## [32] train-mlogloss:0.038699+0.001164 test-mlogloss:0.672188+0.024942
## [33] train-mlogloss:0.037236+0.000997 test-mlogloss:0.675784+0.024952
## [34] train-mlogloss:0.035839+0.000888 test-mlogloss:0.679061+0.024766
## [35] train-mlogloss:0.034505+0.000859 test-mlogloss:0.682846+0.025169
## [36] train-mlogloss:0.033305+0.000885 test-mlogloss:0.685171+0.025072
## [37] train-mlogloss:0.032264+0.000916 test-mlogloss:0.687483+0.025395
## [38] train-mlogloss:0.031207+0.000849 test-mlogloss:0.690131+0.024559
## [39] train-mlogloss:0.030228+0.000852 test-mlogloss:0.693168+0.024216
## [40] train-mlogloss:0.029284+0.000855 test-mlogloss:0.696463+0.024647
## [41] train-mlogloss:0.028435+0.000861 test-mlogloss:0.699053+0.024769
## [42] train-mlogloss:0.027597+0.000807 test-mlogloss:0.701690+0.025471
## [43] train-mlogloss:0.026835+0.000774 test-mlogloss:0.704735+0.025597
## [44] train-mlogloss:0.026098+0.000711 test-mlogloss:0.706887+0.025758
## [45] train-mlogloss:0.025391+0.000661 test-mlogloss:0.709445+0.025145
## [46] train-mlogloss:0.024692+0.000630 test-mlogloss:0.711872+0.024658
## [47] train-mlogloss:0.024073+0.000649 test-mlogloss:0.714323+0.024544
## [48] train-mlogloss:0.023464+0.000625 test-mlogloss:0.716214+0.025001
## [49] train-mlogloss:0.022865+0.000589 test-mlogloss:0.718727+0.024876
## [50] train-mlogloss:0.022304+0.000559 test-mlogloss:0.721324+0.025102
## [51] train-mlogloss:0.021769+0.000531 test-mlogloss:0.724246+0.025140
## [52] train-mlogloss:0.021287+0.000476 test-mlogloss:0.726583+0.024814
## [53] train-mlogloss:0.020813+0.000469 test-mlogloss:0.729573+0.025169
## [54] train-mlogloss:0.020370+0.000441 test-mlogloss:0.732224+0.025117
## [55] train-mlogloss:0.019949+0.000438 test-mlogloss:0.734140+0.025195
## [56] train-mlogloss:0.019536+0.000421 test-mlogloss:0.736545+0.025109
## [57] train-mlogloss:0.019169+0.000401 test-mlogloss:0.738157+0.024671
## [58] train-mlogloss:0.018781+0.000387 test-mlogloss:0.740098+0.024704
## [59] train-mlogloss:0.018430+0.000385 test-mlogloss:0.741671+0.024373
## [60] train-mlogloss:0.018090+0.000366 test-mlogloss:0.743736+0.024812
## [61] train-mlogloss:0.017753+0.000353 test-mlogloss:0.745444+0.024855
## [62] train-mlogloss:0.017421+0.000338 test-mlogloss:0.747232+0.024783
## [63] train-mlogloss:0.017105+0.000321 test-mlogloss:0.749050+0.024648
## [64] train-mlogloss:0.016811+0.000297 test-mlogloss:0.751223+0.024208
## [65] train-mlogloss:0.016510+0.000290 test-mlogloss:0.752897+0.024088
## [66] train-mlogloss:0.016225+0.000289 test-mlogloss:0.754500+0.023814
## [67] train-mlogloss:0.015942+0.000277 test-mlogloss:0.756364+0.023141
## [68] train-mlogloss:0.015689+0.000268 test-mlogloss:0.757536+0.023353
## [69] train-mlogloss:0.015429+0.000269 test-mlogloss:0.759494+0.023212
## [70] train-mlogloss:0.015173+0.000254 test-mlogloss:0.760848+0.023259
## [71] train-mlogloss:0.014945+0.000243 test-mlogloss:0.762526+0.023140
## [72] train-mlogloss:0.014717+0.000236 test-mlogloss:0.763902+0.023055
## [73] train-mlogloss:0.014496+0.000223 test-mlogloss:0.765822+0.023354
## [74] train-mlogloss:0.014294+0.000210 test-mlogloss:0.767738+0.023327
## [75] train-mlogloss:0.014087+0.000211 test-mlogloss:0.769328+0.023391
## [76] train-mlogloss:0.013889+0.000203 test-mlogloss:0.771187+0.023196
## [77] train-mlogloss:0.013694+0.000199 test-mlogloss:0.772769+0.022877
## [78] train-mlogloss:0.013507+0.000184 test-mlogloss:0.774299+0.023087
## [79] train-mlogloss:0.013330+0.000178 test-mlogloss:0.775749+0.022803
## [80] train-mlogloss:0.013154+0.000181 test-mlogloss:0.777228+0.022577
## [81] train-mlogloss:0.012980+0.000171 test-mlogloss:0.778672+0.022613
## [82] train-mlogloss:0.012822+0.000168 test-mlogloss:0.780071+0.022272
## [83] train-mlogloss:0.012660+0.000167 test-mlogloss:0.781628+0.022240
## [84] train-mlogloss:0.012497+0.000159 test-mlogloss:0.782750+0.021781
## [85] train-mlogloss:0.012349+0.000156 test-mlogloss:0.783900+0.022297
## [86] train-mlogloss:0.012198+0.000155 test-mlogloss:0.785663+0.021911
## [87] train-mlogloss:0.012055+0.000155 test-mlogloss:0.787045+0.022219
## [88] train-mlogloss:0.011914+0.000153 test-mlogloss:0.788333+0.022262
## [89] train-mlogloss:0.011776+0.000153 test-mlogloss:0.789566+0.022620
## [90] train-mlogloss:0.011644+0.000145 test-mlogloss:0.790884+0.022732
## [91] train-mlogloss:0.011513+0.000141 test-mlogloss:0.792336+0.023044
## [92] train-mlogloss:0.011382+0.000134 test-mlogloss:0.793826+0.023027
## [93] train-mlogloss:0.011255+0.000134 test-mlogloss:0.795188+0.023553
## [94] train-mlogloss:0.011134+0.000132 test-mlogloss:0.796251+0.023765
## [95] train-mlogloss:0.011015+0.000132 test-mlogloss:0.797756+0.024297
## [96] train-mlogloss:0.010900+0.000131 test-mlogloss:0.798703+0.024702
## [97] train-mlogloss:0.010784+0.000127 test-mlogloss:0.799722+0.025036
## [98] train-mlogloss:0.010671+0.000128 test-mlogloss:0.801118+0.025732
## [99] train-mlogloss:0.010570+0.000125 test-mlogloss:0.802411+0.025736
## [100] train-mlogloss:0.010461+0.000120 test-mlogloss:0.803752+0.026055
## [101] train-mlogloss:0.010359+0.000119 test-mlogloss:0.804678+0.025992
## [102] train-mlogloss:0.010257+0.000116 test-mlogloss:0.805378+0.025462
## [103] train-mlogloss:0.010157+0.000116 test-mlogloss:0.806825+0.025844
## [104] train-mlogloss:0.010059+0.000112 test-mlogloss:0.807718+0.025972
## [105] train-mlogloss:0.009969+0.000112 test-mlogloss:0.809097+0.026186
## [106] train-mlogloss:0.009873+0.000110 test-mlogloss:0.810201+0.026079
## [107] train-mlogloss:0.009781+0.000112 test-mlogloss:0.811504+0.025984
## [108] train-mlogloss:0.009692+0.000115 test-mlogloss:0.812309+0.025740
## [109] train-mlogloss:0.009606+0.000110 test-mlogloss:0.813710+0.025593
## [110] train-mlogloss:0.009520+0.000109 test-mlogloss:0.814899+0.025624
## [111] train-mlogloss:0.009438+0.000105 test-mlogloss:0.816092+0.025100
## [112] train-mlogloss:0.009358+0.000103 test-mlogloss:0.817504+0.024617
## [113] train-mlogloss:0.009280+0.000100 test-mlogloss:0.818531+0.024501
## [114] train-mlogloss:0.009205+0.000100 test-mlogloss:0.819708+0.024216
## [115] train-mlogloss:0.009131+0.000098 test-mlogloss:0.821056+0.024075
## [116] train-mlogloss:0.009057+0.000094 test-mlogloss:0.821809+0.023856
## [117] train-mlogloss:0.008984+0.000095 test-mlogloss:0.822536+0.024278
## [118] train-mlogloss:0.008911+0.000092 test-mlogloss:0.823580+0.024194
## [119] train-mlogloss:0.008838+0.000090 test-mlogloss:0.824364+0.024065
## [120] train-mlogloss:0.008766+0.000089 test-mlogloss:0.825500+0.024052
## [121] train-mlogloss:0.008696+0.000090 test-mlogloss:0.826654+0.024360
## [122] train-mlogloss:0.008631+0.000092 test-mlogloss:0.827903+0.024825
## [123] train-mlogloss:0.008562+0.000093 test-mlogloss:0.829133+0.024832
## [124] train-mlogloss:0.008494+0.000090 test-mlogloss:0.830334+0.024723
## [125] train-mlogloss:0.008431+0.000091 test-mlogloss:0.831408+0.024651
## [126] train-mlogloss:0.008367+0.000092 test-mlogloss:0.832235+0.024967
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## [133] train-mlogloss:0.007960+0.000080 test-mlogloss:0.838609+0.024656
## [134] train-mlogloss:0.007906+0.000081 test-mlogloss:0.839793+0.024673
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## [138] train-mlogloss:0.007696+0.000080 test-mlogloss:0.843349+0.024008
## [139] train-mlogloss:0.007647+0.000078 test-mlogloss:0.844128+0.023993
## [140] train-mlogloss:0.007597+0.000079 test-mlogloss:0.845173+0.024006
## [141] train-mlogloss:0.007547+0.000078 test-mlogloss:0.845565+0.023544
## [142] train-mlogloss:0.007499+0.000079 test-mlogloss:0.846901+0.023689
## [143] train-mlogloss:0.007449+0.000077 test-mlogloss:0.847970+0.024096
## [144] train-mlogloss:0.007404+0.000079 test-mlogloss:0.848768+0.024018
## [145] train-mlogloss:0.007358+0.000076 test-mlogloss:0.849487+0.023970
## [146] train-mlogloss:0.007314+0.000077 test-mlogloss:0.850210+0.023528
## [147] train-mlogloss:0.007268+0.000078 test-mlogloss:0.851307+0.023497
## [148] train-mlogloss:0.007224+0.000076 test-mlogloss:0.851867+0.023613
## [149] train-mlogloss:0.007181+0.000076 test-mlogloss:0.852546+0.023702
## [150] train-mlogloss:0.007138+0.000074 test-mlogloss:0.853301+0.023892
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## [158] train-mlogloss:0.006824+0.000065 test-mlogloss:0.858998+0.024481
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## [160] train-mlogloss:0.006751+0.000064 test-mlogloss:0.860105+0.024334
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## [162] train-mlogloss:0.006680+0.000063 test-mlogloss:0.861636+0.024532
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## [167] train-mlogloss:0.006503+0.000062 test-mlogloss:0.866178+0.023748
## [168] train-mlogloss:0.006471+0.000062 test-mlogloss:0.866724+0.023761
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## [170] train-mlogloss:0.006406+0.000062 test-mlogloss:0.867993+0.023684
## [171] train-mlogloss:0.006373+0.000060 test-mlogloss:0.868594+0.023983
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## [180] train-mlogloss:0.006097+0.000055 test-mlogloss:0.875066+0.024050
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## [182] train-mlogloss:0.006040+0.000054 test-mlogloss:0.876629+0.023901
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## [189] train-mlogloss:0.005849+0.000049 test-mlogloss:0.881480+0.024143
## [190] train-mlogloss:0.005822+0.000047 test-mlogloss:0.881935+0.024020
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## [192] train-mlogloss:0.005773+0.000047 test-mlogloss:0.883100+0.023829
## [193] train-mlogloss:0.005747+0.000047 test-mlogloss:0.883825+0.023816
## [194] train-mlogloss:0.005724+0.000046 test-mlogloss:0.884520+0.023638
## [195] train-mlogloss:0.005701+0.000045 test-mlogloss:0.885066+0.023566
## [196] train-mlogloss:0.005677+0.000046 test-mlogloss:0.885349+0.023604
## [197] train-mlogloss:0.005653+0.000045 test-mlogloss:0.885949+0.023763
## [198] train-mlogloss:0.005629+0.000044 test-mlogloss:0.886732+0.023807
## [199] train-mlogloss:0.005606+0.000043 test-mlogloss:0.887431+0.023799
## [200] train-mlogloss:0.005583+0.000043 test-mlogloss:0.887599+0.023665
## [201] train-mlogloss:0.005558+0.000044 test-mlogloss:0.888208+0.023737
## [202] train-mlogloss:0.005535+0.000044 test-mlogloss:0.888636+0.023642
## [203] train-mlogloss:0.005512+0.000042 test-mlogloss:0.889244+0.023637
## [204] train-mlogloss:0.005490+0.000041 test-mlogloss:0.889883+0.023546
## [205] train-mlogloss:0.005469+0.000040 test-mlogloss:0.890441+0.023798
## [206] train-mlogloss:0.005448+0.000040 test-mlogloss:0.890915+0.023853
## [207] train-mlogloss:0.005427+0.000041 test-mlogloss:0.891498+0.023847
## [208] train-mlogloss:0.005406+0.000041 test-mlogloss:0.892023+0.023586
## [209] train-mlogloss:0.005385+0.000041 test-mlogloss:0.892677+0.023597
## [210] train-mlogloss:0.005363+0.000040 test-mlogloss:0.893224+0.023877
## [211] train-mlogloss:0.005342+0.000040 test-mlogloss:0.893601+0.023774
## [212] train-mlogloss:0.005321+0.000040 test-mlogloss:0.894462+0.023976
## [213] train-mlogloss:0.005302+0.000039 test-mlogloss:0.894909+0.024156
## [214] train-mlogloss:0.005281+0.000040 test-mlogloss:0.895470+0.024049
## [215] train-mlogloss:0.005261+0.000041 test-mlogloss:0.896375+0.024029
## [216] train-mlogloss:0.005241+0.000041 test-mlogloss:0.897014+0.024106
## [217] train-mlogloss:0.005221+0.000040 test-mlogloss:0.897385+0.023667
## [218] train-mlogloss:0.005202+0.000040 test-mlogloss:0.897915+0.023737
## [219] train-mlogloss:0.005182+0.000041 test-mlogloss:0.898594+0.024204
## [220] train-mlogloss:0.005163+0.000042 test-mlogloss:0.899308+0.024188
## [221] train-mlogloss:0.005144+0.000043 test-mlogloss:0.899783+0.024080
## [222] train-mlogloss:0.005124+0.000042 test-mlogloss:0.900427+0.024076
## [223] train-mlogloss:0.005105+0.000042 test-mlogloss:0.901059+0.024017
## [224] train-mlogloss:0.005086+0.000042 test-mlogloss:0.901874+0.024417
## [225] train-mlogloss:0.005067+0.000041 test-mlogloss:0.902276+0.024470
## [226] train-mlogloss:0.005049+0.000039 test-mlogloss:0.902976+0.024375
## [227] train-mlogloss:0.005031+0.000040 test-mlogloss:0.903432+0.024378
## [228] train-mlogloss:0.005014+0.000040 test-mlogloss:0.903664+0.024360
## [229] train-mlogloss:0.004997+0.000039 test-mlogloss:0.904044+0.024473
## [230] train-mlogloss:0.004979+0.000039 test-mlogloss:0.904439+0.024358
## [231] train-mlogloss:0.004961+0.000038 test-mlogloss:0.905175+0.024284
## [232] train-mlogloss:0.004943+0.000039 test-mlogloss:0.905574+0.024833
## [233] train-mlogloss:0.004926+0.000039 test-mlogloss:0.906036+0.024646
## [234] train-mlogloss:0.004909+0.000038 test-mlogloss:0.906487+0.024938
## [235] train-mlogloss:0.004892+0.000038 test-mlogloss:0.906880+0.024827
## [236] train-mlogloss:0.004876+0.000038 test-mlogloss:0.907350+0.024898
## [237] train-mlogloss:0.004859+0.000038 test-mlogloss:0.907818+0.025059
## [238] train-mlogloss:0.004843+0.000037 test-mlogloss:0.908222+0.024852
## [239] train-mlogloss:0.004827+0.000038 test-mlogloss:0.908648+0.025051
## [240] train-mlogloss:0.004810+0.000038 test-mlogloss:0.909286+0.025227
## [241] train-mlogloss:0.004795+0.000038 test-mlogloss:0.909886+0.025061
## [242] train-mlogloss:0.004779+0.000037 test-mlogloss:0.910179+0.024782
## [243] train-mlogloss:0.004764+0.000036 test-mlogloss:0.910727+0.024835
## [244] train-mlogloss:0.004749+0.000035 test-mlogloss:0.910924+0.024840
## [245] train-mlogloss:0.004733+0.000035 test-mlogloss:0.911540+0.025053
## [246] train-mlogloss:0.004718+0.000034 test-mlogloss:0.911912+0.025085
## [247] train-mlogloss:0.004702+0.000033 test-mlogloss:0.912359+0.025018
## [248] train-mlogloss:0.004688+0.000034 test-mlogloss:0.912503+0.025268
## [249] train-mlogloss:0.004673+0.000034 test-mlogloss:0.913071+0.025433
## [250] train-mlogloss:0.004659+0.000033 test-mlogloss:0.913583+0.025284
## [251] train-mlogloss:0.004644+0.000033 test-mlogloss:0.914157+0.025172
## [252] train-mlogloss:0.004629+0.000033 test-mlogloss:0.914514+0.025025
## [253] train-mlogloss:0.004614+0.000034 test-mlogloss:0.914643+0.024919
## [254] train-mlogloss:0.004601+0.000034 test-mlogloss:0.915384+0.025052
## [255] train-mlogloss:0.004588+0.000033 test-mlogloss:0.915558+0.024949
## [256] train-mlogloss:0.004572+0.000033 test-mlogloss:0.916261+0.025126
## [257] train-mlogloss:0.004558+0.000033 test-mlogloss:0.916953+0.025043
## [258] train-mlogloss:0.004545+0.000034 test-mlogloss:0.917805+0.025122
## [259] train-mlogloss:0.004531+0.000033 test-mlogloss:0.918067+0.025128
## [260] train-mlogloss:0.004517+0.000034 test-mlogloss:0.918440+0.025043
## [261] train-mlogloss:0.004503+0.000034 test-mlogloss:0.919045+0.025097
## [262] train-mlogloss:0.004489+0.000034 test-mlogloss:0.919616+0.025054
## [263] train-mlogloss:0.004476+0.000034 test-mlogloss:0.919982+0.024917
## [264] train-mlogloss:0.004462+0.000032 test-mlogloss:0.920263+0.024991
## [265] train-mlogloss:0.004449+0.000032 test-mlogloss:0.920595+0.025002
## [266] train-mlogloss:0.004436+0.000033 test-mlogloss:0.920965+0.024919
## [267] train-mlogloss:0.004423+0.000031 test-mlogloss:0.921420+0.024740
## [268] train-mlogloss:0.004409+0.000031 test-mlogloss:0.921846+0.024579
## [269] train-mlogloss:0.004395+0.000032 test-mlogloss:0.922191+0.024609
## [270] train-mlogloss:0.004383+0.000032 test-mlogloss:0.922585+0.024840
## [271] train-mlogloss:0.004370+0.000032 test-mlogloss:0.922853+0.024548
## [272] train-mlogloss:0.004357+0.000031 test-mlogloss:0.923265+0.024749
## [273] train-mlogloss:0.004345+0.000031 test-mlogloss:0.923662+0.024873
## [274] train-mlogloss:0.004333+0.000031 test-mlogloss:0.924452+0.024978
## [275] train-mlogloss:0.004320+0.000031 test-mlogloss:0.924993+0.025042
## [276] train-mlogloss:0.004308+0.000031 test-mlogloss:0.925205+0.025004
## [277] train-mlogloss:0.004296+0.000031 test-mlogloss:0.925522+0.024868
## [278] train-mlogloss:0.004284+0.000031 test-mlogloss:0.925583+0.024862
## [279] train-mlogloss:0.004272+0.000031 test-mlogloss:0.926132+0.024988
## [280] train-mlogloss:0.004260+0.000031 test-mlogloss:0.926329+0.024923
## [281] train-mlogloss:0.004249+0.000031 test-mlogloss:0.927070+0.024565
## [282] train-mlogloss:0.004238+0.000030 test-mlogloss:0.927623+0.024713
## [283] train-mlogloss:0.004226+0.000030 test-mlogloss:0.928074+0.024873
## [284] train-mlogloss:0.004214+0.000029 test-mlogloss:0.928715+0.024969
## [285] train-mlogloss:0.004204+0.000030 test-mlogloss:0.929001+0.025068
## [286] train-mlogloss:0.004192+0.000030 test-mlogloss:0.929626+0.025039
## [287] train-mlogloss:0.004181+0.000029 test-mlogloss:0.930262+0.025040
## [288] train-mlogloss:0.004169+0.000029 test-mlogloss:0.930544+0.024827
## [289] train-mlogloss:0.004157+0.000028 test-mlogloss:0.931050+0.024969
## [290] train-mlogloss:0.004146+0.000028 test-mlogloss:0.931461+0.024820
## [291] train-mlogloss:0.004134+0.000028 test-mlogloss:0.932253+0.024761
## [292] train-mlogloss:0.004123+0.000028 test-mlogloss:0.932570+0.024766
## [293] train-mlogloss:0.004112+0.000028 test-mlogloss:0.932791+0.024729
## [294] train-mlogloss:0.004101+0.000028 test-mlogloss:0.932926+0.024616
## [295] train-mlogloss:0.004091+0.000028 test-mlogloss:0.933375+0.024596
## [296] train-mlogloss:0.004080+0.000028 test-mlogloss:0.933840+0.024807
## [297] train-mlogloss:0.004069+0.000027 test-mlogloss:0.934251+0.025159
## [298] train-mlogloss:0.004060+0.000028 test-mlogloss:0.934604+0.025040
## [299] train-mlogloss:0.004049+0.000027 test-mlogloss:0.935009+0.025039
## [300] train-mlogloss:0.004039+0.000027 test-mlogloss:0.935431+0.025055
## [301] train-mlogloss:0.004029+0.000028 test-mlogloss:0.935583+0.025255
## [302] train-mlogloss:0.004019+0.000028 test-mlogloss:0.935977+0.025369
## [303] train-mlogloss:0.004009+0.000028 test-mlogloss:0.936561+0.025552
## [304] train-mlogloss:0.003999+0.000028 test-mlogloss:0.937189+0.025366
## [305] train-mlogloss:0.003990+0.000029 test-mlogloss:0.937436+0.025434
## [306] train-mlogloss:0.003980+0.000028 test-mlogloss:0.937812+0.025488
## [307] train-mlogloss:0.003970+0.000028 test-mlogloss:0.938353+0.025437
## [308] train-mlogloss:0.003961+0.000028 test-mlogloss:0.938806+0.025341
## [309] train-mlogloss:0.003951+0.000028 test-mlogloss:0.939343+0.025301
## [310] train-mlogloss:0.003942+0.000028 test-mlogloss:0.939340+0.025144
## [311] train-mlogloss:0.003932+0.000027 test-mlogloss:0.939900+0.025338
## [312] train-mlogloss:0.003923+0.000028 test-mlogloss:0.940129+0.025135
## [313] train-mlogloss:0.003914+0.000028 test-mlogloss:0.940281+0.025179
## [314] train-mlogloss:0.003905+0.000028 test-mlogloss:0.940732+0.025190
## [315] train-mlogloss:0.003896+0.000027 test-mlogloss:0.941353+0.025119
## [316] train-mlogloss:0.003887+0.000027 test-mlogloss:0.941613+0.025200
## [317] train-mlogloss:0.003877+0.000027 test-mlogloss:0.942251+0.025219
## [318] train-mlogloss:0.003868+0.000026 test-mlogloss:0.942308+0.024956
## [319] train-mlogloss:0.003859+0.000026 test-mlogloss:0.942543+0.024952
## [320] train-mlogloss:0.003851+0.000026 test-mlogloss:0.942934+0.025223
## [321] train-mlogloss:0.003842+0.000027 test-mlogloss:0.943248+0.025383
## [322] train-mlogloss:0.003834+0.000026 test-mlogloss:0.943602+0.025289
## [323] train-mlogloss:0.003825+0.000027 test-mlogloss:0.943978+0.025324
## [324] train-mlogloss:0.003816+0.000027 test-mlogloss:0.944199+0.025359
## [325] train-mlogloss:0.003808+0.000027 test-mlogloss:0.944904+0.025289
## [326] train-mlogloss:0.003798+0.000027 test-mlogloss:0.945360+0.025521
## [327] train-mlogloss:0.003790+0.000028 test-mlogloss:0.945784+0.025493
## [328] train-mlogloss:0.003782+0.000028 test-mlogloss:0.946070+0.025440
## [329] train-mlogloss:0.003774+0.000028 test-mlogloss:0.946090+0.025486
## [330] train-mlogloss:0.003765+0.000028 test-mlogloss:0.946540+0.025332
## [331] train-mlogloss:0.003757+0.000028 test-mlogloss:0.947023+0.025182
## [332] train-mlogloss:0.003749+0.000027 test-mlogloss:0.947393+0.024962
## [333] train-mlogloss:0.003741+0.000027 test-mlogloss:0.947792+0.025114
## [334] train-mlogloss:0.003733+0.000026 test-mlogloss:0.948143+0.024719
## [335] train-mlogloss:0.003725+0.000026 test-mlogloss:0.948573+0.024609
## [336] train-mlogloss:0.003716+0.000025 test-mlogloss:0.948997+0.024582
## [337] train-mlogloss:0.003708+0.000025 test-mlogloss:0.949363+0.024701
## [338] train-mlogloss:0.003700+0.000025 test-mlogloss:0.949843+0.024690
## [339] train-mlogloss:0.003692+0.000025 test-mlogloss:0.950036+0.024616
## [340] train-mlogloss:0.003684+0.000026 test-mlogloss:0.950036+0.024563
## [341] train-mlogloss:0.003676+0.000026 test-mlogloss:0.950390+0.024582
## [342] train-mlogloss:0.003668+0.000027 test-mlogloss:0.950842+0.024405
## [343] train-mlogloss:0.003660+0.000027 test-mlogloss:0.951335+0.024275
## [344] train-mlogloss:0.003652+0.000027 test-mlogloss:0.951560+0.024375
## [345] train-mlogloss:0.003645+0.000027 test-mlogloss:0.951754+0.024555
## [346] train-mlogloss:0.003637+0.000028 test-mlogloss:0.952119+0.024607
## [347] train-mlogloss:0.003630+0.000028 test-mlogloss:0.952340+0.024186
## [348] train-mlogloss:0.003622+0.000028 test-mlogloss:0.952674+0.023964
## [349] train-mlogloss:0.003614+0.000028 test-mlogloss:0.953201+0.023904
## [350] train-mlogloss:0.003607+0.000027 test-mlogloss:0.953491+0.024063
## [351] train-mlogloss:0.003599+0.000028 test-mlogloss:0.953772+0.024012
## [352] train-mlogloss:0.003591+0.000028 test-mlogloss:0.954150+0.024324
## [353] train-mlogloss:0.003583+0.000028 test-mlogloss:0.954585+0.024390
## [354] train-mlogloss:0.003576+0.000028 test-mlogloss:0.954915+0.024429
## [355] train-mlogloss:0.003569+0.000027 test-mlogloss:0.955209+0.024516
## [356] train-mlogloss:0.003561+0.000027 test-mlogloss:0.955505+0.024611
## [357] train-mlogloss:0.003554+0.000027 test-mlogloss:0.955748+0.024603
## [358] train-mlogloss:0.003547+0.000027 test-mlogloss:0.956059+0.024518
## [359] train-mlogloss:0.003539+0.000028 test-mlogloss:0.956426+0.024411
## [360] train-mlogloss:0.003532+0.000028 test-mlogloss:0.956640+0.024473
## [361] train-mlogloss:0.003525+0.000028 test-mlogloss:0.956979+0.024233
## [362] train-mlogloss:0.003518+0.000027 test-mlogloss:0.957389+0.024270
## [363] train-mlogloss:0.003511+0.000028 test-mlogloss:0.957885+0.024307
## [364] train-mlogloss:0.003504+0.000028 test-mlogloss:0.958190+0.024628
## [365] train-mlogloss:0.003497+0.000028 test-mlogloss:0.958781+0.024566
## [366] train-mlogloss:0.003490+0.000028 test-mlogloss:0.958921+0.024582
## [367] train-mlogloss:0.003483+0.000029 test-mlogloss:0.959260+0.024513
## [368] train-mlogloss:0.003477+0.000029 test-mlogloss:0.959564+0.024935
## [369] train-mlogloss:0.003470+0.000029 test-mlogloss:0.959829+0.024873
## [370] train-mlogloss:0.003463+0.000029 test-mlogloss:0.960058+0.024918
## [371] train-mlogloss:0.003457+0.000029 test-mlogloss:0.960372+0.025188
## [372] train-mlogloss:0.003451+0.000029 test-mlogloss:0.960870+0.025148
## [373] train-mlogloss:0.003444+0.000029 test-mlogloss:0.961275+0.025081
## [374] train-mlogloss:0.003437+0.000029 test-mlogloss:0.961614+0.025112
## [375] train-mlogloss:0.003431+0.000029 test-mlogloss:0.961944+0.025036
## [376] train-mlogloss:0.003425+0.000029 test-mlogloss:0.962302+0.025020
## [377] train-mlogloss:0.003418+0.000029 test-mlogloss:0.962588+0.025267
## [378] train-mlogloss:0.003411+0.000029 test-mlogloss:0.962922+0.025393
## [379] train-mlogloss:0.003405+0.000029 test-mlogloss:0.963114+0.025531
## [380] train-mlogloss:0.003398+0.000029 test-mlogloss:0.962985+0.025539
## [381] train-mlogloss:0.003391+0.000030 test-mlogloss:0.963326+0.025375
## [382] train-mlogloss:0.003385+0.000030 test-mlogloss:0.963787+0.025564
## [383] train-mlogloss:0.003378+0.000029 test-mlogloss:0.963900+0.025602
## [384] train-mlogloss:0.003372+0.000030 test-mlogloss:0.964228+0.025651
## [385] train-mlogloss:0.003366+0.000029 test-mlogloss:0.964675+0.025555
## [386] train-mlogloss:0.003359+0.000029 test-mlogloss:0.965219+0.025515
## [387] train-mlogloss:0.003353+0.000029 test-mlogloss:0.965533+0.025320
## [388] train-mlogloss:0.003346+0.000029 test-mlogloss:0.965993+0.025561
## [389] train-mlogloss:0.003340+0.000029 test-mlogloss:0.966413+0.025572
## [390] train-mlogloss:0.003334+0.000029 test-mlogloss:0.966827+0.025705
## [391] train-mlogloss:0.003329+0.000029 test-mlogloss:0.967126+0.025582
## [392] train-mlogloss:0.003323+0.000029 test-mlogloss:0.967408+0.025710
## [393] train-mlogloss:0.003316+0.000028 test-mlogloss:0.967577+0.025446
## [394] train-mlogloss:0.003310+0.000028 test-mlogloss:0.967881+0.025362
## [395] train-mlogloss:0.003304+0.000029 test-mlogloss:0.968261+0.025148
## [396] train-mlogloss:0.003298+0.000028 test-mlogloss:0.968731+0.025340
## [397] train-mlogloss:0.003292+0.000028 test-mlogloss:0.968910+0.025242
## [398] train-mlogloss:0.003286+0.000028 test-mlogloss:0.969389+0.025599
## [399] train-mlogloss:0.003280+0.000028 test-mlogloss:0.969495+0.025675
## [400] train-mlogloss:0.003274+0.000028 test-mlogloss:0.969799+0.025569
## [401] train-mlogloss:0.003268+0.000029 test-mlogloss:0.970059+0.025291
## [402] train-mlogloss:0.003263+0.000029 test-mlogloss:0.970275+0.025111
## [403] train-mlogloss:0.003257+0.000029 test-mlogloss:0.970415+0.025146
## [404] train-mlogloss:0.003251+0.000028 test-mlogloss:0.970719+0.025184
## [405] train-mlogloss:0.003246+0.000028 test-mlogloss:0.971139+0.025278
## [406] train-mlogloss:0.003240+0.000029 test-mlogloss:0.971295+0.025348
## [407] train-mlogloss:0.003234+0.000028 test-mlogloss:0.971595+0.025448
## [408] train-mlogloss:0.003228+0.000028 test-mlogloss:0.971682+0.025284
## [409] train-mlogloss:0.003222+0.000028 test-mlogloss:0.972015+0.025314
## [410] train-mlogloss:0.003216+0.000028 test-mlogloss:0.972267+0.025252
## [411] train-mlogloss:0.003211+0.000028 test-mlogloss:0.972426+0.025305
## [412] train-mlogloss:0.003206+0.000028 test-mlogloss:0.972873+0.025135
## [413] train-mlogloss:0.003201+0.000028 test-mlogloss:0.973099+0.025132
## [414] train-mlogloss:0.003195+0.000028 test-mlogloss:0.973405+0.025113
## [415] train-mlogloss:0.003190+0.000028 test-mlogloss:0.973882+0.025242
## [416] train-mlogloss:0.003184+0.000029 test-mlogloss:0.974353+0.025427
## [417] train-mlogloss:0.003179+0.000029 test-mlogloss:0.974619+0.025475
## [418] train-mlogloss:0.003173+0.000029 test-mlogloss:0.975045+0.025641
## [419] train-mlogloss:0.003168+0.000028 test-mlogloss:0.975118+0.025619
## [420] train-mlogloss:0.003163+0.000028 test-mlogloss:0.975371+0.025639
## [421] train-mlogloss:0.003157+0.000028 test-mlogloss:0.975591+0.025402
## [422] train-mlogloss:0.003152+0.000028 test-mlogloss:0.975951+0.025468
## [423] train-mlogloss:0.003147+0.000028 test-mlogloss:0.976190+0.025630
## [424] train-mlogloss:0.003141+0.000027 test-mlogloss:0.976351+0.025634
## [425] train-mlogloss:0.003136+0.000028 test-mlogloss:0.976439+0.025839
## [426] train-mlogloss:0.003130+0.000027 test-mlogloss:0.976847+0.025694
## [427] train-mlogloss:0.003125+0.000027 test-mlogloss:0.977162+0.025883
## [428] train-mlogloss:0.003120+0.000027 test-mlogloss:0.977428+0.026016
## [429] train-mlogloss:0.003115+0.000027 test-mlogloss:0.977538+0.026041
## [430] train-mlogloss:0.003109+0.000026 test-mlogloss:0.977670+0.025878
## [431] train-mlogloss:0.003104+0.000026 test-mlogloss:0.978128+0.025846
## [432] train-mlogloss:0.003100+0.000026 test-mlogloss:0.978233+0.025885
## [433] train-mlogloss:0.003094+0.000026 test-mlogloss:0.978540+0.025879
## [434] train-mlogloss:0.003089+0.000026 test-mlogloss:0.978767+0.025821
## [435] train-mlogloss:0.003084+0.000026 test-mlogloss:0.978946+0.025891
## [436] train-mlogloss:0.003079+0.000026 test-mlogloss:0.979224+0.025837
## [437] train-mlogloss:0.003075+0.000026 test-mlogloss:0.979592+0.025758
## [438] train-mlogloss:0.003070+0.000026 test-mlogloss:0.979948+0.025772
## [439] train-mlogloss:0.003065+0.000026 test-mlogloss:0.980149+0.025557
## [440] train-mlogloss:0.003060+0.000026 test-mlogloss:0.980512+0.025441
## [441] train-mlogloss:0.003055+0.000025 test-mlogloss:0.981033+0.025655
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## [444] train-mlogloss:0.003041+0.000026 test-mlogloss:0.981476+0.025539
## [445] train-mlogloss:0.003037+0.000025 test-mlogloss:0.981684+0.025637
## [446] train-mlogloss:0.003032+0.000025 test-mlogloss:0.981909+0.025419
## [447] train-mlogloss:0.003027+0.000025 test-mlogloss:0.982001+0.025291
## [448] train-mlogloss:0.003023+0.000025 test-mlogloss:0.982414+0.025432
## [449] train-mlogloss:0.003018+0.000024 test-mlogloss:0.982592+0.025380
## [450] train-mlogloss:0.003014+0.000024 test-mlogloss:0.982694+0.025086
## [451] train-mlogloss:0.003009+0.000024 test-mlogloss:0.982945+0.025210
## [452] train-mlogloss:0.003004+0.000024 test-mlogloss:0.983301+0.025023
## [453] train-mlogloss:0.002999+0.000023 test-mlogloss:0.983490+0.024860
## [454] train-mlogloss:0.002995+0.000024 test-mlogloss:0.983835+0.024823
## [455] train-mlogloss:0.002990+0.000024 test-mlogloss:0.983928+0.024936
## [456] train-mlogloss:0.002986+0.000024 test-mlogloss:0.984313+0.024853
## [457] train-mlogloss:0.002981+0.000025 test-mlogloss:0.984403+0.024647
## [458] train-mlogloss:0.002977+0.000024 test-mlogloss:0.984580+0.024891
## [459] train-mlogloss:0.002972+0.000024 test-mlogloss:0.984828+0.025124
## [460] train-mlogloss:0.002968+0.000024 test-mlogloss:0.984982+0.025244
## [461] train-mlogloss:0.002963+0.000024 test-mlogloss:0.985038+0.025029
## [462] train-mlogloss:0.002959+0.000024 test-mlogloss:0.985326+0.025177
## [463] train-mlogloss:0.002954+0.000024 test-mlogloss:0.985628+0.025195
## [464] train-mlogloss:0.002950+0.000023 test-mlogloss:0.985549+0.025263
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## [466] train-mlogloss:0.002941+0.000023 test-mlogloss:0.986230+0.025281
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## [468] train-mlogloss:0.002932+0.000024 test-mlogloss:0.986962+0.025299
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## [470] train-mlogloss:0.002924+0.000024 test-mlogloss:0.987327+0.025574
## [471] train-mlogloss:0.002919+0.000024 test-mlogloss:0.987708+0.025618
## [472] train-mlogloss:0.002916+0.000024 test-mlogloss:0.988011+0.025584
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## [474] train-mlogloss:0.002907+0.000024 test-mlogloss:0.988455+0.025672
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## [476] train-mlogloss:0.002898+0.000024 test-mlogloss:0.989062+0.025595
## [477] train-mlogloss:0.002894+0.000024 test-mlogloss:0.989226+0.025755
## [478] train-mlogloss:0.002891+0.000024 test-mlogloss:0.989583+0.025585
## [479] train-mlogloss:0.002886+0.000024 test-mlogloss:0.989833+0.025398
## [480] train-mlogloss:0.002882+0.000024 test-mlogloss:0.989833+0.025185
## [481] train-mlogloss:0.002878+0.000024 test-mlogloss:0.990113+0.025417
## [482] train-mlogloss:0.002874+0.000024 test-mlogloss:0.990184+0.025265
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## [484] train-mlogloss:0.002866+0.000024 test-mlogloss:0.991001+0.025654
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## [486] train-mlogloss:0.002858+0.000024 test-mlogloss:0.991474+0.025624
## [487] train-mlogloss:0.002853+0.000023 test-mlogloss:0.991610+0.025478
## [488] train-mlogloss:0.002849+0.000023 test-mlogloss:0.991997+0.025527
## [489] train-mlogloss:0.002845+0.000023 test-mlogloss:0.992147+0.025374
## [490] train-mlogloss:0.002841+0.000023 test-mlogloss:0.992299+0.025556
## [491] train-mlogloss:0.002837+0.000023 test-mlogloss:0.992755+0.025579
## [492] train-mlogloss:0.002833+0.000023 test-mlogloss:0.993097+0.025372
## [493] train-mlogloss:0.002829+0.000023 test-mlogloss:0.992969+0.025363
## [494] train-mlogloss:0.002825+0.000023 test-mlogloss:0.993162+0.025281
## [495] train-mlogloss:0.002821+0.000023 test-mlogloss:0.993444+0.025404
## [496] train-mlogloss:0.002817+0.000023 test-mlogloss:0.993691+0.025282
## [497] train-mlogloss:0.002814+0.000023 test-mlogloss:0.993880+0.025253
## [498] train-mlogloss:0.002810+0.000023 test-mlogloss:0.994170+0.025323
## [499] train-mlogloss:0.002806+0.000023 test-mlogloss:0.994298+0.025294
## [500] train-mlogloss:0.002802+0.000022 test-mlogloss:0.994378+0.025460
## [1] train-mlogloss:0.536048+0.002096 test-mlogloss:0.557448+0.005711
## [2] train-mlogloss:0.505392+0.002502 test-mlogloss:0.542508+0.007986
## [3] train-mlogloss:0.492372+0.002197 test-mlogloss:0.539602+0.008874
## [4] train-mlogloss:0.483135+0.002788 test-mlogloss:0.540269+0.009433
## [5] train-mlogloss:0.473642+0.002813 test-mlogloss:0.543700+0.009849
## [6] train-mlogloss:0.466236+0.003263 test-mlogloss:0.545947+0.010564
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## [8] train-mlogloss:0.448348+0.003834 test-mlogloss:0.553588+0.013384
## [9] train-mlogloss:0.439829+0.002993 test-mlogloss:0.555160+0.012578
## [10] train-mlogloss:0.432792+0.002674 test-mlogloss:0.557938+0.011038
## [11] train-mlogloss:0.425763+0.001595 test-mlogloss:0.560812+0.009278
## [12] train-mlogloss:0.418272+0.003220 test-mlogloss:0.565075+0.011670
## [13] train-mlogloss:0.411046+0.003824 test-mlogloss:0.569503+0.011898
## [14] train-mlogloss:0.403696+0.004691 test-mlogloss:0.572502+0.012615
## [15] train-mlogloss:0.396863+0.003133 test-mlogloss:0.575336+0.011396
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## [17] train-mlogloss:0.385685+0.003609 test-mlogloss:0.579090+0.011729
## [18] train-mlogloss:0.378247+0.003983 test-mlogloss:0.583240+0.013448
## [19] train-mlogloss:0.371948+0.003515 test-mlogloss:0.585355+0.013385
## [20] train-mlogloss:0.366903+0.002641 test-mlogloss:0.587283+0.014181
## [21] train-mlogloss:0.360639+0.002660 test-mlogloss:0.589602+0.013648
## [22] train-mlogloss:0.354132+0.002271 test-mlogloss:0.591319+0.013339
## [23] train-mlogloss:0.348431+0.002478 test-mlogloss:0.593572+0.012694
## [24] train-mlogloss:0.343227+0.002338 test-mlogloss:0.595788+0.012366
## [25] train-mlogloss:0.337624+0.003667 test-mlogloss:0.598259+0.012937
## [26] train-mlogloss:0.331036+0.003830 test-mlogloss:0.600440+0.012483
## [27] train-mlogloss:0.325003+0.003388 test-mlogloss:0.604050+0.013218
## [28] train-mlogloss:0.319855+0.003525 test-mlogloss:0.605467+0.013887
## [29] train-mlogloss:0.314161+0.002697 test-mlogloss:0.607609+0.014969
## [30] train-mlogloss:0.308837+0.002368 test-mlogloss:0.612534+0.016100
## [31] train-mlogloss:0.303682+0.002956 test-mlogloss:0.614362+0.016936
## [32] train-mlogloss:0.298497+0.003409 test-mlogloss:0.618879+0.016660
## [33] train-mlogloss:0.293726+0.004088 test-mlogloss:0.619010+0.017265
## [34] train-mlogloss:0.288744+0.004278 test-mlogloss:0.621641+0.017499
## [35] train-mlogloss:0.284543+0.003917 test-mlogloss:0.624390+0.016439
## [36] train-mlogloss:0.280200+0.003752 test-mlogloss:0.626545+0.015062
## [37] train-mlogloss:0.275201+0.003845 test-mlogloss:0.629843+0.016941
## [38] train-mlogloss:0.270780+0.004547 test-mlogloss:0.632540+0.017771
## [39] train-mlogloss:0.266299+0.005370 test-mlogloss:0.634023+0.017968
## [40] train-mlogloss:0.261781+0.004669 test-mlogloss:0.636165+0.019022
## [41] train-mlogloss:0.256642+0.004624 test-mlogloss:0.639785+0.018619
## [42] train-mlogloss:0.252830+0.003782 test-mlogloss:0.641064+0.017520
## [43] train-mlogloss:0.248666+0.003933 test-mlogloss:0.642667+0.018102
## [44] train-mlogloss:0.243835+0.003867 test-mlogloss:0.646056+0.017994
## [45] train-mlogloss:0.239793+0.003899 test-mlogloss:0.647896+0.017363
## [46] train-mlogloss:0.236187+0.003443 test-mlogloss:0.650859+0.016487
## [47] train-mlogloss:0.232557+0.003901 test-mlogloss:0.654059+0.017069
## [48] train-mlogloss:0.228538+0.003922 test-mlogloss:0.656193+0.017895
## [49] train-mlogloss:0.224630+0.003432 test-mlogloss:0.657602+0.018283
## [50] train-mlogloss:0.221414+0.003442 test-mlogloss:0.661208+0.017421
## [51] train-mlogloss:0.218002+0.002897 test-mlogloss:0.664186+0.016962
## [52] train-mlogloss:0.214861+0.003322 test-mlogloss:0.666442+0.017381
## [53] train-mlogloss:0.211072+0.003224 test-mlogloss:0.669787+0.018464
## [54] train-mlogloss:0.207187+0.003196 test-mlogloss:0.672171+0.018225
## [55] train-mlogloss:0.203864+0.003046 test-mlogloss:0.675710+0.017948
## [56] train-mlogloss:0.200315+0.003034 test-mlogloss:0.678824+0.018316
## [57] train-mlogloss:0.196558+0.002935 test-mlogloss:0.681863+0.019776
## [58] train-mlogloss:0.193100+0.002619 test-mlogloss:0.683804+0.019988
## [59] train-mlogloss:0.190015+0.003350 test-mlogloss:0.684692+0.019979
## [60] train-mlogloss:0.186775+0.003045 test-mlogloss:0.687485+0.019824
## [61] train-mlogloss:0.184348+0.003424 test-mlogloss:0.689035+0.019414
## [62] train-mlogloss:0.181401+0.003230 test-mlogloss:0.691787+0.020352
## [63] train-mlogloss:0.178710+0.003036 test-mlogloss:0.693903+0.019404
## [64] train-mlogloss:0.175472+0.002354 test-mlogloss:0.694555+0.019695
## [65] train-mlogloss:0.172580+0.002654 test-mlogloss:0.697421+0.019654
## [66] train-mlogloss:0.169992+0.003365 test-mlogloss:0.700423+0.019236
## [67] train-mlogloss:0.167399+0.002962 test-mlogloss:0.703254+0.019772
## [68] train-mlogloss:0.164387+0.003001 test-mlogloss:0.705162+0.018517
## [69] train-mlogloss:0.162037+0.003170 test-mlogloss:0.708223+0.019374
## [70] train-mlogloss:0.159416+0.003699 test-mlogloss:0.709534+0.019820
## [71] train-mlogloss:0.156595+0.003641 test-mlogloss:0.711996+0.019851
## [72] train-mlogloss:0.154267+0.003389 test-mlogloss:0.713432+0.021113
## [73] train-mlogloss:0.151494+0.003296 test-mlogloss:0.715292+0.020432
## [74] train-mlogloss:0.149280+0.003262 test-mlogloss:0.717739+0.020063
## [75] train-mlogloss:0.146964+0.003536 test-mlogloss:0.718873+0.019245
## [76] train-mlogloss:0.144459+0.003680 test-mlogloss:0.719580+0.018609
## [77] train-mlogloss:0.141529+0.003332 test-mlogloss:0.721300+0.019136
## [78] train-mlogloss:0.139220+0.003180 test-mlogloss:0.724681+0.018575
## [79] train-mlogloss:0.136750+0.003418 test-mlogloss:0.727742+0.019996
## [80] train-mlogloss:0.134446+0.003198 test-mlogloss:0.729101+0.021008
## [81] train-mlogloss:0.132130+0.003358 test-mlogloss:0.732960+0.019590
## [82] train-mlogloss:0.130031+0.003404 test-mlogloss:0.735025+0.019227
## [83] train-mlogloss:0.127996+0.003304 test-mlogloss:0.735556+0.019692
## [84] train-mlogloss:0.125877+0.003479 test-mlogloss:0.737647+0.019745
## [85] train-mlogloss:0.123896+0.003014 test-mlogloss:0.738929+0.019751
## [86] train-mlogloss:0.121943+0.002785 test-mlogloss:0.740671+0.020063
## [87] train-mlogloss:0.120046+0.002814 test-mlogloss:0.742667+0.020615
## [88] train-mlogloss:0.118268+0.002566 test-mlogloss:0.745002+0.021605
## [89] train-mlogloss:0.116343+0.002453 test-mlogloss:0.747192+0.021541
## [90] train-mlogloss:0.114335+0.002163 test-mlogloss:0.749454+0.021933
## [91] train-mlogloss:0.112756+0.002495 test-mlogloss:0.750877+0.022344
## [92] train-mlogloss:0.111069+0.002526 test-mlogloss:0.752613+0.022540
## [93] train-mlogloss:0.109327+0.002543 test-mlogloss:0.755169+0.023606
## [94] train-mlogloss:0.107691+0.002421 test-mlogloss:0.757252+0.022431
## [95] train-mlogloss:0.106071+0.002561 test-mlogloss:0.759623+0.022017
## [96] train-mlogloss:0.104611+0.002381 test-mlogloss:0.762036+0.022079
## [97] train-mlogloss:0.102840+0.002474 test-mlogloss:0.764752+0.021539
## [98] train-mlogloss:0.101196+0.002450 test-mlogloss:0.766830+0.020548
## [99] train-mlogloss:0.099992+0.002237 test-mlogloss:0.768994+0.020762
## [100] train-mlogloss:0.098230+0.002350 test-mlogloss:0.770770+0.020937
## [101] train-mlogloss:0.096631+0.002417 test-mlogloss:0.773051+0.020510
## [102] train-mlogloss:0.095128+0.002301 test-mlogloss:0.775122+0.019610
## [103] train-mlogloss:0.093342+0.002216 test-mlogloss:0.775683+0.019684
## [104] train-mlogloss:0.092126+0.002301 test-mlogloss:0.777712+0.020130
## [105] train-mlogloss:0.090520+0.002281 test-mlogloss:0.779687+0.021204
## [106] train-mlogloss:0.089243+0.002170 test-mlogloss:0.781355+0.020353
## [107] train-mlogloss:0.088032+0.002091 test-mlogloss:0.782630+0.020540
## [108] train-mlogloss:0.086957+0.002001 test-mlogloss:0.785150+0.020067
## [109] train-mlogloss:0.085866+0.001992 test-mlogloss:0.787102+0.020535
## [110] train-mlogloss:0.084371+0.001864 test-mlogloss:0.789110+0.022370
## [111] train-mlogloss:0.083230+0.001836 test-mlogloss:0.792440+0.023701
## [112] train-mlogloss:0.081952+0.001833 test-mlogloss:0.795710+0.024802
## [113] train-mlogloss:0.080625+0.001720 test-mlogloss:0.796301+0.023970
## [114] train-mlogloss:0.079181+0.001795 test-mlogloss:0.798323+0.024324
## [115] train-mlogloss:0.078190+0.001646 test-mlogloss:0.800548+0.024587
## [116] train-mlogloss:0.076935+0.001732 test-mlogloss:0.802613+0.026381
## [117] train-mlogloss:0.075960+0.001726 test-mlogloss:0.803927+0.025729
## [118] train-mlogloss:0.074815+0.001618 test-mlogloss:0.806608+0.026558
## [119] train-mlogloss:0.073665+0.001622 test-mlogloss:0.809296+0.026350
## [120] train-mlogloss:0.072549+0.001444 test-mlogloss:0.811535+0.025998
## [121] train-mlogloss:0.071368+0.001430 test-mlogloss:0.813901+0.025655
## [122] train-mlogloss:0.070210+0.001484 test-mlogloss:0.817028+0.026542
## [123] train-mlogloss:0.069142+0.001671 test-mlogloss:0.818611+0.027036
## [124] train-mlogloss:0.068131+0.001894 test-mlogloss:0.820691+0.027340
## [125] train-mlogloss:0.067034+0.001901 test-mlogloss:0.822515+0.027818
## [126] train-mlogloss:0.065994+0.001741 test-mlogloss:0.824665+0.027812
## [127] train-mlogloss:0.065181+0.001681 test-mlogloss:0.826637+0.026491
## [128] train-mlogloss:0.064216+0.001789 test-mlogloss:0.827670+0.025040
## [129] train-mlogloss:0.063222+0.001819 test-mlogloss:0.829926+0.025837
## [130] train-mlogloss:0.062418+0.001811 test-mlogloss:0.832921+0.027138
## [131] train-mlogloss:0.061453+0.001674 test-mlogloss:0.834298+0.027482
## [132] train-mlogloss:0.060552+0.001658 test-mlogloss:0.835395+0.026521
## [133] train-mlogloss:0.059661+0.001584 test-mlogloss:0.836978+0.026896
## [134] train-mlogloss:0.058911+0.001550 test-mlogloss:0.838113+0.027796
## [135] train-mlogloss:0.057998+0.001773 test-mlogloss:0.840653+0.028618
## [136] train-mlogloss:0.057227+0.001708 test-mlogloss:0.841831+0.027990
## [137] train-mlogloss:0.056452+0.001661 test-mlogloss:0.842951+0.030161
## [138] train-mlogloss:0.055687+0.001647 test-mlogloss:0.843907+0.031136
## [139] train-mlogloss:0.054862+0.001780 test-mlogloss:0.845438+0.030650
## [140] train-mlogloss:0.054167+0.001740 test-mlogloss:0.847344+0.028879
## [141] train-mlogloss:0.053401+0.001626 test-mlogloss:0.849131+0.028865
## [142] train-mlogloss:0.052622+0.001642 test-mlogloss:0.851258+0.029508
## [143] train-mlogloss:0.051976+0.001698 test-mlogloss:0.851861+0.030474
## [144] train-mlogloss:0.051361+0.001685 test-mlogloss:0.853998+0.030121
## [145] train-mlogloss:0.050504+0.001669 test-mlogloss:0.856104+0.029268
## [146] train-mlogloss:0.049718+0.001592 test-mlogloss:0.856933+0.029490
## [147] train-mlogloss:0.049117+0.001635 test-mlogloss:0.858621+0.029956
## [148] train-mlogloss:0.048509+0.001573 test-mlogloss:0.859914+0.029687
## [149] train-mlogloss:0.047884+0.001497 test-mlogloss:0.861761+0.028891
## [150] train-mlogloss:0.047251+0.001485 test-mlogloss:0.862850+0.029062
## [151] train-mlogloss:0.046573+0.001405 test-mlogloss:0.864694+0.028495
## [152] train-mlogloss:0.046012+0.001339 test-mlogloss:0.866944+0.028550
## [153] train-mlogloss:0.045512+0.001334 test-mlogloss:0.867704+0.028613
## [154] train-mlogloss:0.044909+0.001324 test-mlogloss:0.868776+0.028470
## [155] train-mlogloss:0.044314+0.001332 test-mlogloss:0.870233+0.029094
## [156] train-mlogloss:0.043791+0.001274 test-mlogloss:0.872449+0.029503
## [157] train-mlogloss:0.043240+0.001145 test-mlogloss:0.873781+0.028881
## [158] train-mlogloss:0.042638+0.001092 test-mlogloss:0.876044+0.028928
## [159] train-mlogloss:0.042187+0.001057 test-mlogloss:0.877109+0.030202
## [160] train-mlogloss:0.041605+0.001093 test-mlogloss:0.878044+0.030256
## [161] train-mlogloss:0.041034+0.001097 test-mlogloss:0.879051+0.028801
## [162] train-mlogloss:0.040565+0.001143 test-mlogloss:0.880963+0.028282
## [163] train-mlogloss:0.039997+0.001047 test-mlogloss:0.882635+0.028663
## [164] train-mlogloss:0.039471+0.001102 test-mlogloss:0.882892+0.028014
## [165] train-mlogloss:0.038877+0.001071 test-mlogloss:0.883910+0.029103
## [166] train-mlogloss:0.038476+0.000988 test-mlogloss:0.884328+0.029884
## [167] train-mlogloss:0.037979+0.000987 test-mlogloss:0.886340+0.028762
## [168] train-mlogloss:0.037468+0.000932 test-mlogloss:0.887964+0.028693
## [169] train-mlogloss:0.037028+0.000950 test-mlogloss:0.889970+0.029837
## [170] train-mlogloss:0.036581+0.000920 test-mlogloss:0.891343+0.029486
## [171] train-mlogloss:0.036114+0.000868 test-mlogloss:0.892749+0.029401
## [172] train-mlogloss:0.035759+0.000895 test-mlogloss:0.894190+0.029079
## [173] train-mlogloss:0.035345+0.000890 test-mlogloss:0.896705+0.029058
## [174] train-mlogloss:0.034950+0.000817 test-mlogloss:0.898546+0.029194
## [175] train-mlogloss:0.034586+0.000821 test-mlogloss:0.900246+0.028482
## [176] train-mlogloss:0.034124+0.000845 test-mlogloss:0.903075+0.028756
## [177] train-mlogloss:0.033811+0.000827 test-mlogloss:0.905615+0.028589
## [178] train-mlogloss:0.033364+0.000867 test-mlogloss:0.905523+0.027840
## [179] train-mlogloss:0.032998+0.000838 test-mlogloss:0.907238+0.027221
## [180] train-mlogloss:0.032660+0.000891 test-mlogloss:0.908787+0.028091
## [181] train-mlogloss:0.032320+0.000873 test-mlogloss:0.909963+0.027401
## [182] train-mlogloss:0.031964+0.000825 test-mlogloss:0.910740+0.027152
## [183] train-mlogloss:0.031547+0.000855 test-mlogloss:0.912945+0.026514
## [184] train-mlogloss:0.031104+0.000798 test-mlogloss:0.914918+0.027428
## [185] train-mlogloss:0.030751+0.000842 test-mlogloss:0.916384+0.027878
## [186] train-mlogloss:0.030384+0.000866 test-mlogloss:0.917797+0.026409
## [187] train-mlogloss:0.030090+0.000851 test-mlogloss:0.918787+0.025890
## [188] train-mlogloss:0.029745+0.000799 test-mlogloss:0.919232+0.025356
## [189] train-mlogloss:0.029377+0.000813 test-mlogloss:0.921670+0.026293
## [190] train-mlogloss:0.029058+0.000819 test-mlogloss:0.923605+0.026716
## [191] train-mlogloss:0.028762+0.000794 test-mlogloss:0.925493+0.026766
## [192] train-mlogloss:0.028465+0.000747 test-mlogloss:0.927080+0.027120
## [193] train-mlogloss:0.028167+0.000733 test-mlogloss:0.928413+0.026721
## [194] train-mlogloss:0.027866+0.000718 test-mlogloss:0.929696+0.027669
## [195] train-mlogloss:0.027556+0.000672 test-mlogloss:0.930451+0.027076
## [196] train-mlogloss:0.027261+0.000627 test-mlogloss:0.931471+0.027533
## [197] train-mlogloss:0.026950+0.000598 test-mlogloss:0.932657+0.027013
## [198] train-mlogloss:0.026665+0.000609 test-mlogloss:0.933913+0.028225
## [199] train-mlogloss:0.026425+0.000610 test-mlogloss:0.934865+0.028463
## [200] train-mlogloss:0.026171+0.000626 test-mlogloss:0.936317+0.027887
## [201] train-mlogloss:0.025903+0.000677 test-mlogloss:0.939225+0.027975
## [202] train-mlogloss:0.025652+0.000610 test-mlogloss:0.939610+0.027645
## [203] train-mlogloss:0.025400+0.000629 test-mlogloss:0.941731+0.026908
## [204] train-mlogloss:0.025111+0.000612 test-mlogloss:0.943078+0.026318
## [205] train-mlogloss:0.024870+0.000581 test-mlogloss:0.945343+0.026368
## [206] train-mlogloss:0.024617+0.000592 test-mlogloss:0.946210+0.025169
## [207] train-mlogloss:0.024390+0.000597 test-mlogloss:0.948024+0.025040
## [208] train-mlogloss:0.024133+0.000610 test-mlogloss:0.949597+0.025582
## [209] train-mlogloss:0.023881+0.000631 test-mlogloss:0.951069+0.025509
## [210] train-mlogloss:0.023648+0.000648 test-mlogloss:0.952305+0.025576
## [211] train-mlogloss:0.023352+0.000662 test-mlogloss:0.953694+0.025932
## [212] train-mlogloss:0.023124+0.000655 test-mlogloss:0.955660+0.026210
## [213] train-mlogloss:0.022889+0.000662 test-mlogloss:0.957395+0.027065
## [214] train-mlogloss:0.022638+0.000648 test-mlogloss:0.958791+0.026838
## [215] train-mlogloss:0.022463+0.000623 test-mlogloss:0.960182+0.027050
## [216] train-mlogloss:0.022245+0.000607 test-mlogloss:0.961927+0.027931
## [217] train-mlogloss:0.022014+0.000594 test-mlogloss:0.964120+0.027816
## [218] train-mlogloss:0.021790+0.000553 test-mlogloss:0.965478+0.027772
## [219] train-mlogloss:0.021585+0.000540 test-mlogloss:0.967526+0.028186
## [220] train-mlogloss:0.021356+0.000529 test-mlogloss:0.968669+0.028258
## [221] train-mlogloss:0.021156+0.000487 test-mlogloss:0.970265+0.028605
## [222] train-mlogloss:0.020909+0.000467 test-mlogloss:0.971323+0.029123
## [223] train-mlogloss:0.020736+0.000452 test-mlogloss:0.973090+0.029115
## [224] train-mlogloss:0.020564+0.000490 test-mlogloss:0.974261+0.029839
## [225] train-mlogloss:0.020369+0.000486 test-mlogloss:0.974502+0.029700
## [226] train-mlogloss:0.020178+0.000490 test-mlogloss:0.974815+0.029732
## [227] train-mlogloss:0.020004+0.000466 test-mlogloss:0.976774+0.029450
## [228] train-mlogloss:0.019829+0.000482 test-mlogloss:0.978083+0.029584
## [229] train-mlogloss:0.019656+0.000478 test-mlogloss:0.979091+0.029495
## [230] train-mlogloss:0.019481+0.000460 test-mlogloss:0.981294+0.030872
## [231] train-mlogloss:0.019330+0.000471 test-mlogloss:0.981697+0.030516
## [232] train-mlogloss:0.019118+0.000486 test-mlogloss:0.982375+0.029753
## [233] train-mlogloss:0.018921+0.000461 test-mlogloss:0.984356+0.029641
## [234] train-mlogloss:0.018764+0.000468 test-mlogloss:0.984349+0.030086
## [235] train-mlogloss:0.018595+0.000458 test-mlogloss:0.985772+0.030061
## [236] train-mlogloss:0.018424+0.000483 test-mlogloss:0.987236+0.030059
## [237] train-mlogloss:0.018255+0.000497 test-mlogloss:0.988829+0.030481
## [238] train-mlogloss:0.018113+0.000501 test-mlogloss:0.990159+0.031808
## [239] train-mlogloss:0.017937+0.000474 test-mlogloss:0.991675+0.032139
## [240] train-mlogloss:0.017807+0.000471 test-mlogloss:0.993247+0.032479
## [241] train-mlogloss:0.017658+0.000471 test-mlogloss:0.992902+0.032516
## [242] train-mlogloss:0.017506+0.000484 test-mlogloss:0.993590+0.032806
## [243] train-mlogloss:0.017362+0.000478 test-mlogloss:0.995604+0.033164
## [244] train-mlogloss:0.017223+0.000488 test-mlogloss:0.997670+0.033794
## [245] train-mlogloss:0.017054+0.000473 test-mlogloss:0.999845+0.034381
## [246] train-mlogloss:0.016892+0.000489 test-mlogloss:1.001103+0.034563
## [247] train-mlogloss:0.016724+0.000500 test-mlogloss:1.001526+0.034347
## [248] train-mlogloss:0.016584+0.000456 test-mlogloss:1.002491+0.034628
## [249] train-mlogloss:0.016463+0.000485 test-mlogloss:1.003089+0.034079
## [250] train-mlogloss:0.016296+0.000480 test-mlogloss:1.003927+0.034570
## [251] train-mlogloss:0.016183+0.000492 test-mlogloss:1.005471+0.035020
## [252] train-mlogloss:0.016038+0.000475 test-mlogloss:1.006934+0.035393
## [253] train-mlogloss:0.015921+0.000490 test-mlogloss:1.008526+0.035123
## [254] train-mlogloss:0.015781+0.000485 test-mlogloss:1.010668+0.035353
## [255] train-mlogloss:0.015674+0.000469 test-mlogloss:1.011138+0.034910
## [256] train-mlogloss:0.015535+0.000439 test-mlogloss:1.012733+0.035594
## [257] train-mlogloss:0.015411+0.000439 test-mlogloss:1.014145+0.035608
## [258] train-mlogloss:0.015290+0.000435 test-mlogloss:1.014217+0.034989
## [259] train-mlogloss:0.015180+0.000412 test-mlogloss:1.015439+0.034919
## [260] train-mlogloss:0.015030+0.000416 test-mlogloss:1.016125+0.034235
## [261] train-mlogloss:0.014903+0.000403 test-mlogloss:1.018298+0.034214
## [262] train-mlogloss:0.014773+0.000405 test-mlogloss:1.019264+0.034779
## [263] train-mlogloss:0.014651+0.000423 test-mlogloss:1.020809+0.035484
## [264] train-mlogloss:0.014518+0.000413 test-mlogloss:1.021773+0.035323
## [265] train-mlogloss:0.014383+0.000407 test-mlogloss:1.021755+0.034975
## [266] train-mlogloss:0.014269+0.000405 test-mlogloss:1.022571+0.034972
## [267] train-mlogloss:0.014152+0.000401 test-mlogloss:1.023285+0.034527
## [268] train-mlogloss:0.014039+0.000401 test-mlogloss:1.024698+0.034835
## [269] train-mlogloss:0.013933+0.000392 test-mlogloss:1.026046+0.035297
## [270] train-mlogloss:0.013814+0.000385 test-mlogloss:1.026991+0.035254
## [271] train-mlogloss:0.013708+0.000368 test-mlogloss:1.027641+0.034542
## [272] train-mlogloss:0.013595+0.000354 test-mlogloss:1.028118+0.034233
## [273] train-mlogloss:0.013486+0.000357 test-mlogloss:1.028886+0.034277
## [274] train-mlogloss:0.013391+0.000344 test-mlogloss:1.031054+0.033364
## [275] train-mlogloss:0.013315+0.000358 test-mlogloss:1.031679+0.033043
## [276] train-mlogloss:0.013218+0.000360 test-mlogloss:1.032353+0.032838
## [277] train-mlogloss:0.013124+0.000376 test-mlogloss:1.034119+0.034503
## [278] train-mlogloss:0.013036+0.000375 test-mlogloss:1.034998+0.034292
## [279] train-mlogloss:0.012938+0.000365 test-mlogloss:1.035807+0.033873
## [280] train-mlogloss:0.012856+0.000370 test-mlogloss:1.036332+0.033976
## [281] train-mlogloss:0.012771+0.000369 test-mlogloss:1.037410+0.034741
## [282] train-mlogloss:0.012682+0.000372 test-mlogloss:1.038273+0.034310
## [283] train-mlogloss:0.012588+0.000351 test-mlogloss:1.039780+0.034335
## [284] train-mlogloss:0.012496+0.000342 test-mlogloss:1.040694+0.034695
## [285] train-mlogloss:0.012403+0.000312 test-mlogloss:1.041122+0.034155
## [286] train-mlogloss:0.012313+0.000318 test-mlogloss:1.041956+0.033781
## [287] train-mlogloss:0.012211+0.000337 test-mlogloss:1.042634+0.033009
## [288] train-mlogloss:0.012127+0.000325 test-mlogloss:1.043719+0.033543
## [289] train-mlogloss:0.012054+0.000307 test-mlogloss:1.044354+0.032974
## [290] train-mlogloss:0.011945+0.000288 test-mlogloss:1.045337+0.033592
## [291] train-mlogloss:0.011881+0.000299 test-mlogloss:1.046707+0.034429
## [292] train-mlogloss:0.011785+0.000292 test-mlogloss:1.047947+0.034240
## [293] train-mlogloss:0.011712+0.000287 test-mlogloss:1.049079+0.034695
## [294] train-mlogloss:0.011634+0.000292 test-mlogloss:1.048798+0.034245
## [295] train-mlogloss:0.011534+0.000289 test-mlogloss:1.050032+0.033687
## [296] train-mlogloss:0.011451+0.000300 test-mlogloss:1.051129+0.033212
## [297] train-mlogloss:0.011350+0.000306 test-mlogloss:1.053090+0.033316
## [298] train-mlogloss:0.011273+0.000287 test-mlogloss:1.053565+0.034068
## [299] train-mlogloss:0.011186+0.000278 test-mlogloss:1.054966+0.033926
## [300] train-mlogloss:0.011110+0.000279 test-mlogloss:1.056093+0.034205
## [301] train-mlogloss:0.011030+0.000270 test-mlogloss:1.057661+0.033589
## [302] train-mlogloss:0.010948+0.000285 test-mlogloss:1.058425+0.034334
## [303] train-mlogloss:0.010868+0.000287 test-mlogloss:1.060186+0.034747
## [304] train-mlogloss:0.010789+0.000287 test-mlogloss:1.060544+0.034423
## [305] train-mlogloss:0.010717+0.000298 test-mlogloss:1.061905+0.034483
## [306] train-mlogloss:0.010645+0.000294 test-mlogloss:1.062657+0.034329
## [307] train-mlogloss:0.010578+0.000301 test-mlogloss:1.063725+0.034767
## [308] train-mlogloss:0.010510+0.000299 test-mlogloss:1.064267+0.034905
## [309] train-mlogloss:0.010447+0.000292 test-mlogloss:1.064993+0.034902
## [310] train-mlogloss:0.010369+0.000288 test-mlogloss:1.065344+0.035122
## [311] train-mlogloss:0.010292+0.000278 test-mlogloss:1.065996+0.034701
## [312] train-mlogloss:0.010232+0.000266 test-mlogloss:1.066589+0.034559
## [313] train-mlogloss:0.010165+0.000254 test-mlogloss:1.067598+0.034267
## [314] train-mlogloss:0.010097+0.000254 test-mlogloss:1.067959+0.033659
## [315] train-mlogloss:0.010029+0.000244 test-mlogloss:1.069356+0.032302
## [316] train-mlogloss:0.009964+0.000239 test-mlogloss:1.070360+0.032332
## [317] train-mlogloss:0.009910+0.000238 test-mlogloss:1.070996+0.032144
## [318] train-mlogloss:0.009855+0.000239 test-mlogloss:1.072194+0.031969
## [319] train-mlogloss:0.009789+0.000234 test-mlogloss:1.072531+0.032226
## [320] train-mlogloss:0.009724+0.000237 test-mlogloss:1.072938+0.032940
## [321] train-mlogloss:0.009665+0.000232 test-mlogloss:1.074448+0.033076
## [322] train-mlogloss:0.009607+0.000226 test-mlogloss:1.075610+0.032903
## [323] train-mlogloss:0.009557+0.000225 test-mlogloss:1.076837+0.032933
## [324] train-mlogloss:0.009495+0.000222 test-mlogloss:1.078296+0.032952
## [325] train-mlogloss:0.009441+0.000214 test-mlogloss:1.079190+0.032912
## [326] train-mlogloss:0.009369+0.000199 test-mlogloss:1.079508+0.033481
## [327] train-mlogloss:0.009307+0.000194 test-mlogloss:1.080610+0.033463
## [328] train-mlogloss:0.009237+0.000199 test-mlogloss:1.081863+0.032879
## [329] train-mlogloss:0.009166+0.000186 test-mlogloss:1.082796+0.032725
## [330] train-mlogloss:0.009107+0.000179 test-mlogloss:1.083170+0.033252
## [331] train-mlogloss:0.009055+0.000172 test-mlogloss:1.083366+0.033203
## [332] train-mlogloss:0.009005+0.000175 test-mlogloss:1.084518+0.033313
## [333] train-mlogloss:0.008943+0.000165 test-mlogloss:1.085502+0.033016
## [334] train-mlogloss:0.008881+0.000161 test-mlogloss:1.086940+0.032868
## [335] train-mlogloss:0.008831+0.000159 test-mlogloss:1.087721+0.032850
## [336] train-mlogloss:0.008772+0.000149 test-mlogloss:1.089159+0.032962
## [337] train-mlogloss:0.008728+0.000141 test-mlogloss:1.090114+0.032966
## [338] train-mlogloss:0.008680+0.000135 test-mlogloss:1.090244+0.032495
## [339] train-mlogloss:0.008633+0.000130 test-mlogloss:1.091112+0.032548
## [340] train-mlogloss:0.008581+0.000120 test-mlogloss:1.092154+0.032553
## [341] train-mlogloss:0.008530+0.000121 test-mlogloss:1.093944+0.033015
## [342] train-mlogloss:0.008480+0.000131 test-mlogloss:1.095363+0.033603
## [343] train-mlogloss:0.008429+0.000129 test-mlogloss:1.095977+0.034074
## [344] train-mlogloss:0.008371+0.000117 test-mlogloss:1.096832+0.034035
## [345] train-mlogloss:0.008321+0.000115 test-mlogloss:1.097162+0.034354
## [346] train-mlogloss:0.008271+0.000124 test-mlogloss:1.097709+0.034209
## [347] train-mlogloss:0.008208+0.000131 test-mlogloss:1.098939+0.034614
## [348] train-mlogloss:0.008170+0.000130 test-mlogloss:1.099996+0.034525
## [349] train-mlogloss:0.008125+0.000137 test-mlogloss:1.101424+0.035121
## [350] train-mlogloss:0.008079+0.000142 test-mlogloss:1.102750+0.035723
## [351] train-mlogloss:0.008023+0.000139 test-mlogloss:1.104292+0.035723
## [352] train-mlogloss:0.007972+0.000140 test-mlogloss:1.105259+0.035808
## [353] train-mlogloss:0.007924+0.000138 test-mlogloss:1.106267+0.034890
## [354] train-mlogloss:0.007879+0.000135 test-mlogloss:1.107503+0.034635
## [355] train-mlogloss:0.007834+0.000125 test-mlogloss:1.108154+0.034755
## [356] train-mlogloss:0.007797+0.000121 test-mlogloss:1.109074+0.034803
## [357] train-mlogloss:0.007754+0.000118 test-mlogloss:1.110184+0.035081
## [358] train-mlogloss:0.007710+0.000126 test-mlogloss:1.110634+0.035117
## [359] train-mlogloss:0.007672+0.000122 test-mlogloss:1.111240+0.035212
## [360] train-mlogloss:0.007634+0.000124 test-mlogloss:1.113243+0.035655
## [361] train-mlogloss:0.007580+0.000122 test-mlogloss:1.115314+0.036460
## [362] train-mlogloss:0.007532+0.000120 test-mlogloss:1.115717+0.035538
## [363] train-mlogloss:0.007487+0.000120 test-mlogloss:1.116328+0.035378
## [364] train-mlogloss:0.007447+0.000120 test-mlogloss:1.116325+0.034815
## [365] train-mlogloss:0.007410+0.000111 test-mlogloss:1.117054+0.034926
## [366] train-mlogloss:0.007372+0.000109 test-mlogloss:1.118389+0.035586
## [367] train-mlogloss:0.007335+0.000111 test-mlogloss:1.119005+0.035887
## [368] train-mlogloss:0.007298+0.000111 test-mlogloss:1.120408+0.036182
## [369] train-mlogloss:0.007260+0.000109 test-mlogloss:1.121362+0.035749
## [370] train-mlogloss:0.007223+0.000112 test-mlogloss:1.121986+0.035597
## [371] train-mlogloss:0.007190+0.000109 test-mlogloss:1.122616+0.036025
## [372] train-mlogloss:0.007156+0.000109 test-mlogloss:1.123866+0.035731
## [373] train-mlogloss:0.007119+0.000111 test-mlogloss:1.125055+0.035007
## [374] train-mlogloss:0.007082+0.000110 test-mlogloss:1.126166+0.035026
## [375] train-mlogloss:0.007051+0.000108 test-mlogloss:1.127316+0.035162
## [376] train-mlogloss:0.007014+0.000103 test-mlogloss:1.128261+0.035332
## [377] train-mlogloss:0.006982+0.000103 test-mlogloss:1.129264+0.035632
## [378] train-mlogloss:0.006950+0.000109 test-mlogloss:1.130244+0.036392
## [379] train-mlogloss:0.006918+0.000110 test-mlogloss:1.130519+0.036893
## [380] train-mlogloss:0.006879+0.000110 test-mlogloss:1.131916+0.037314
## [381] train-mlogloss:0.006847+0.000104 test-mlogloss:1.132802+0.036706
## [382] train-mlogloss:0.006818+0.000102 test-mlogloss:1.132749+0.036865
## [383] train-mlogloss:0.006783+0.000102 test-mlogloss:1.132853+0.036899
## [384] train-mlogloss:0.006747+0.000099 test-mlogloss:1.133540+0.037234
## [385] train-mlogloss:0.006706+0.000091 test-mlogloss:1.133613+0.036743
## [386] train-mlogloss:0.006676+0.000088 test-mlogloss:1.134687+0.037116
## [387] train-mlogloss:0.006643+0.000087 test-mlogloss:1.135818+0.036946
## [388] train-mlogloss:0.006608+0.000078 test-mlogloss:1.137857+0.036906
## [389] train-mlogloss:0.006570+0.000077 test-mlogloss:1.138910+0.036888
## [390] train-mlogloss:0.006539+0.000077 test-mlogloss:1.139202+0.036717
## [391] train-mlogloss:0.006509+0.000077 test-mlogloss:1.139909+0.036503
## [392] train-mlogloss:0.006473+0.000076 test-mlogloss:1.141269+0.036959
## [393] train-mlogloss:0.006444+0.000065 test-mlogloss:1.142228+0.036658
## [394] train-mlogloss:0.006419+0.000061 test-mlogloss:1.143531+0.036273
## [395] train-mlogloss:0.006380+0.000059 test-mlogloss:1.144533+0.036359
## [396] train-mlogloss:0.006344+0.000058 test-mlogloss:1.145735+0.036164
## [397] train-mlogloss:0.006307+0.000060 test-mlogloss:1.147190+0.035938
## [398] train-mlogloss:0.006276+0.000064 test-mlogloss:1.147423+0.036549
## [399] train-mlogloss:0.006246+0.000067 test-mlogloss:1.147930+0.035700
## [400] train-mlogloss:0.006216+0.000067 test-mlogloss:1.148712+0.035662
## [401] train-mlogloss:0.006189+0.000064 test-mlogloss:1.149526+0.035488
## [402] train-mlogloss:0.006161+0.000067 test-mlogloss:1.150650+0.035209
## [403] train-mlogloss:0.006137+0.000069 test-mlogloss:1.151572+0.035003
## [404] train-mlogloss:0.006106+0.000070 test-mlogloss:1.152256+0.034782
## [405] train-mlogloss:0.006075+0.000077 test-mlogloss:1.153164+0.034874
## [406] train-mlogloss:0.006053+0.000080 test-mlogloss:1.153883+0.034508
## [407] train-mlogloss:0.006025+0.000077 test-mlogloss:1.154983+0.034209
## [408] train-mlogloss:0.005998+0.000075 test-mlogloss:1.155991+0.034719
## [409] train-mlogloss:0.005970+0.000076 test-mlogloss:1.156174+0.035233
## [410] train-mlogloss:0.005942+0.000072 test-mlogloss:1.157522+0.034823
## [411] train-mlogloss:0.005913+0.000073 test-mlogloss:1.158007+0.035095
## [412] train-mlogloss:0.005889+0.000072 test-mlogloss:1.158844+0.034686
## [413] train-mlogloss:0.005863+0.000072 test-mlogloss:1.159328+0.034540
## [414] train-mlogloss:0.005840+0.000067 test-mlogloss:1.159797+0.034835
## [415] train-mlogloss:0.005813+0.000065 test-mlogloss:1.160578+0.034845
## [416] train-mlogloss:0.005786+0.000068 test-mlogloss:1.161478+0.034765
## [417] train-mlogloss:0.005763+0.000072 test-mlogloss:1.161747+0.034884
## [418] train-mlogloss:0.005734+0.000076 test-mlogloss:1.162672+0.035472
## [419] train-mlogloss:0.005713+0.000072 test-mlogloss:1.163578+0.035113
## [420] train-mlogloss:0.005690+0.000070 test-mlogloss:1.164084+0.034929
## [421] train-mlogloss:0.005666+0.000072 test-mlogloss:1.165344+0.035231
## [422] train-mlogloss:0.005640+0.000072 test-mlogloss:1.166351+0.035501
## [423] train-mlogloss:0.005616+0.000073 test-mlogloss:1.166874+0.035790
## [424] train-mlogloss:0.005587+0.000071 test-mlogloss:1.167590+0.036388
## [425] train-mlogloss:0.005560+0.000076 test-mlogloss:1.168117+0.036903
## [426] train-mlogloss:0.005537+0.000073 test-mlogloss:1.168413+0.036541
## [427] train-mlogloss:0.005514+0.000069 test-mlogloss:1.169361+0.036093
## [428] train-mlogloss:0.005491+0.000071 test-mlogloss:1.170085+0.036041
## [429] train-mlogloss:0.005467+0.000071 test-mlogloss:1.170892+0.036661
## [430] train-mlogloss:0.005442+0.000072 test-mlogloss:1.171041+0.036736
## [431] train-mlogloss:0.005421+0.000069 test-mlogloss:1.172653+0.036878
## [432] train-mlogloss:0.005399+0.000068 test-mlogloss:1.173423+0.036875
## [433] train-mlogloss:0.005380+0.000065 test-mlogloss:1.173190+0.036506
## [434] train-mlogloss:0.005352+0.000064 test-mlogloss:1.174599+0.036464
## [435] train-mlogloss:0.005333+0.000061 test-mlogloss:1.175313+0.036954
## [436] train-mlogloss:0.005311+0.000060 test-mlogloss:1.175677+0.036790
## [437] train-mlogloss:0.005289+0.000062 test-mlogloss:1.176240+0.037272
## [438] train-mlogloss:0.005266+0.000065 test-mlogloss:1.176764+0.037321
## [439] train-mlogloss:0.005246+0.000061 test-mlogloss:1.177323+0.036827
## [440] train-mlogloss:0.005228+0.000060 test-mlogloss:1.177707+0.036955
## [441] train-mlogloss:0.005207+0.000059 test-mlogloss:1.177954+0.037331
## [442] train-mlogloss:0.005185+0.000056 test-mlogloss:1.178741+0.036924
## [443] train-mlogloss:0.005162+0.000058 test-mlogloss:1.179706+0.037093
## [444] train-mlogloss:0.005142+0.000062 test-mlogloss:1.180597+0.037427
## [445] train-mlogloss:0.005123+0.000056 test-mlogloss:1.180413+0.037714
## [446] train-mlogloss:0.005104+0.000055 test-mlogloss:1.180524+0.038042
## [447] train-mlogloss:0.005083+0.000054 test-mlogloss:1.181528+0.037827
## [448] train-mlogloss:0.005062+0.000054 test-mlogloss:1.182587+0.037145
## [449] train-mlogloss:0.005047+0.000050 test-mlogloss:1.182574+0.037106
## [450] train-mlogloss:0.005024+0.000055 test-mlogloss:1.183670+0.037743
## [451] train-mlogloss:0.005003+0.000052 test-mlogloss:1.183905+0.037813
## [452] train-mlogloss:0.004984+0.000052 test-mlogloss:1.184577+0.038002
## [453] train-mlogloss:0.004962+0.000052 test-mlogloss:1.184684+0.038182
## [454] train-mlogloss:0.004943+0.000053 test-mlogloss:1.185838+0.037533
## [455] train-mlogloss:0.004922+0.000051 test-mlogloss:1.186172+0.038007
## [456] train-mlogloss:0.004901+0.000049 test-mlogloss:1.187123+0.038644
## [457] train-mlogloss:0.004886+0.000050 test-mlogloss:1.187303+0.038625
## [458] train-mlogloss:0.004869+0.000045 test-mlogloss:1.187493+0.038308
## [459] train-mlogloss:0.004848+0.000041 test-mlogloss:1.188618+0.037496
## [460] train-mlogloss:0.004826+0.000038 test-mlogloss:1.189270+0.037387
## [461] train-mlogloss:0.004810+0.000038 test-mlogloss:1.189682+0.037109
## [462] train-mlogloss:0.004795+0.000037 test-mlogloss:1.190039+0.037111
## [463] train-mlogloss:0.004779+0.000036 test-mlogloss:1.190887+0.037531
## [464] train-mlogloss:0.004762+0.000036 test-mlogloss:1.192113+0.037299
## [465] train-mlogloss:0.004745+0.000036 test-mlogloss:1.193099+0.037515
## [466] train-mlogloss:0.004731+0.000034 test-mlogloss:1.193300+0.037911
## [467] train-mlogloss:0.004710+0.000034 test-mlogloss:1.194313+0.038047
## [468] train-mlogloss:0.004690+0.000033 test-mlogloss:1.194931+0.037786
## [469] train-mlogloss:0.004671+0.000032 test-mlogloss:1.194939+0.038254
## [470] train-mlogloss:0.004654+0.000033 test-mlogloss:1.195770+0.038092
## [471] train-mlogloss:0.004632+0.000029 test-mlogloss:1.196598+0.037593
## [472] train-mlogloss:0.004614+0.000026 test-mlogloss:1.196981+0.037841
## [473] train-mlogloss:0.004599+0.000027 test-mlogloss:1.198163+0.037742
## [474] train-mlogloss:0.004583+0.000029 test-mlogloss:1.198701+0.038411
## [475] train-mlogloss:0.004563+0.000032 test-mlogloss:1.199093+0.038646
## [476] train-mlogloss:0.004549+0.000032 test-mlogloss:1.199418+0.038932
## [477] train-mlogloss:0.004531+0.000032 test-mlogloss:1.199701+0.039060
## [478] train-mlogloss:0.004517+0.000035 test-mlogloss:1.200319+0.038820
## [479] train-mlogloss:0.004500+0.000033 test-mlogloss:1.201146+0.038651
## [480] train-mlogloss:0.004485+0.000035 test-mlogloss:1.201817+0.039195
## [481] train-mlogloss:0.004471+0.000035 test-mlogloss:1.202048+0.039746
## [482] train-mlogloss:0.004456+0.000038 test-mlogloss:1.202287+0.039951
## [483] train-mlogloss:0.004441+0.000036 test-mlogloss:1.203021+0.039846
## [484] train-mlogloss:0.004422+0.000033 test-mlogloss:1.204190+0.039980
## [485] train-mlogloss:0.004403+0.000031 test-mlogloss:1.205422+0.039407
## [486] train-mlogloss:0.004388+0.000031 test-mlogloss:1.206019+0.039930
## [487] train-mlogloss:0.004373+0.000031 test-mlogloss:1.206283+0.040468
## [488] train-mlogloss:0.004358+0.000033 test-mlogloss:1.207136+0.040518
## [489] train-mlogloss:0.004341+0.000035 test-mlogloss:1.207915+0.040424
## [490] train-mlogloss:0.004324+0.000031 test-mlogloss:1.208905+0.040475
## [491] train-mlogloss:0.004308+0.000029 test-mlogloss:1.209048+0.040636
## [492] train-mlogloss:0.004293+0.000031 test-mlogloss:1.209523+0.040202
## [493] train-mlogloss:0.004280+0.000035 test-mlogloss:1.209807+0.039720
## [494] train-mlogloss:0.004265+0.000035 test-mlogloss:1.210540+0.039439
## [495] train-mlogloss:0.004251+0.000033 test-mlogloss:1.211333+0.039658
## [496] train-mlogloss:0.004238+0.000034 test-mlogloss:1.211384+0.039911
## [497] train-mlogloss:0.004223+0.000033 test-mlogloss:1.211000+0.039394
## [498] train-mlogloss:0.004210+0.000034 test-mlogloss:1.211840+0.039514
## [499] train-mlogloss:0.004195+0.000031 test-mlogloss:1.212218+0.039346
## [500] train-mlogloss:0.004183+0.000030 test-mlogloss:1.212829+0.039607
## [1] train-mlogloss:0.354479+0.001253 test-mlogloss:0.616011+0.014408
## [2] train-mlogloss:0.226347+0.001895 test-mlogloss:0.624358+0.016033
## [3] train-mlogloss:0.158638+0.001398 test-mlogloss:0.643230+0.018651
## [4] train-mlogloss:0.119089+0.001189 test-mlogloss:0.662186+0.021978
## [5] train-mlogloss:0.098139+0.003053 test-mlogloss:0.675698+0.021974
## [6] train-mlogloss:0.083827+0.004391 test-mlogloss:0.692867+0.020872
## [7] train-mlogloss:0.071545+0.002626 test-mlogloss:0.707023+0.022526
## [8] train-mlogloss:0.061636+0.001344 test-mlogloss:0.720710+0.023223
## [9] train-mlogloss:0.052967+0.001331 test-mlogloss:0.733338+0.022556
## [10] train-mlogloss:0.046287+0.000901 test-mlogloss:0.743516+0.023166
## [11] train-mlogloss:0.040748+0.000659 test-mlogloss:0.752651+0.023340
## [12] train-mlogloss:0.036249+0.000596 test-mlogloss:0.761437+0.023101
## [13] train-mlogloss:0.032859+0.000306 test-mlogloss:0.770974+0.023622
## [14] train-mlogloss:0.030024+0.000167 test-mlogloss:0.780016+0.022756
## [15] train-mlogloss:0.027688+0.000262 test-mlogloss:0.788676+0.022564
## [16] train-mlogloss:0.025553+0.000186 test-mlogloss:0.795725+0.022989
## [17] train-mlogloss:0.023719+0.000161 test-mlogloss:0.803026+0.022819
## [18] train-mlogloss:0.022198+0.000186 test-mlogloss:0.810154+0.022387
## [19] train-mlogloss:0.020786+0.000169 test-mlogloss:0.815207+0.022292
## [20] train-mlogloss:0.019670+0.000122 test-mlogloss:0.821848+0.020963
## [21] train-mlogloss:0.018592+0.000122 test-mlogloss:0.827520+0.023411
## [22] train-mlogloss:0.017613+0.000066 test-mlogloss:0.832961+0.025845
## [23] train-mlogloss:0.016764+0.000052 test-mlogloss:0.837470+0.027279
## [24] train-mlogloss:0.016018+0.000075 test-mlogloss:0.843374+0.026520
## [25] train-mlogloss:0.015317+0.000090 test-mlogloss:0.848907+0.028090
## [26] train-mlogloss:0.014653+0.000097 test-mlogloss:0.853914+0.027370
## [27] train-mlogloss:0.014075+0.000083 test-mlogloss:0.859147+0.028786
## [28] train-mlogloss:0.013569+0.000088 test-mlogloss:0.863191+0.030088
## [29] train-mlogloss:0.013088+0.000098 test-mlogloss:0.867557+0.029956
## [30] train-mlogloss:0.012633+0.000084 test-mlogloss:0.869591+0.028724
## [31] train-mlogloss:0.012205+0.000077 test-mlogloss:0.873007+0.030254
## [32] train-mlogloss:0.011819+0.000071 test-mlogloss:0.875855+0.030968
## [33] train-mlogloss:0.011457+0.000059 test-mlogloss:0.878742+0.029497
## [34] train-mlogloss:0.011112+0.000056 test-mlogloss:0.881667+0.030650
## [35] train-mlogloss:0.010774+0.000054 test-mlogloss:0.884588+0.032344
## [36] train-mlogloss:0.010474+0.000050 test-mlogloss:0.888966+0.031375
## [37] train-mlogloss:0.010199+0.000057 test-mlogloss:0.892400+0.030808
## [38] train-mlogloss:0.009944+0.000050 test-mlogloss:0.894501+0.031117
## [39] train-mlogloss:0.009701+0.000050 test-mlogloss:0.898033+0.031105
## [40] train-mlogloss:0.009463+0.000046 test-mlogloss:0.901107+0.030552
## [41] train-mlogloss:0.009244+0.000042 test-mlogloss:0.904064+0.030843
## [42] train-mlogloss:0.009042+0.000042 test-mlogloss:0.906410+0.030343
## [43] train-mlogloss:0.008838+0.000049 test-mlogloss:0.909112+0.030616
## [44] train-mlogloss:0.008650+0.000053 test-mlogloss:0.912155+0.030243
## [45] train-mlogloss:0.008474+0.000057 test-mlogloss:0.915031+0.030928
## [46] train-mlogloss:0.008307+0.000054 test-mlogloss:0.917605+0.030649
## [47] train-mlogloss:0.008146+0.000047 test-mlogloss:0.919770+0.030339
## [48] train-mlogloss:0.007998+0.000044 test-mlogloss:0.922083+0.029684
## [49] train-mlogloss:0.007848+0.000040 test-mlogloss:0.924805+0.030485
## [50] train-mlogloss:0.007704+0.000040 test-mlogloss:0.926564+0.030311
## [51] train-mlogloss:0.007568+0.000044 test-mlogloss:0.928647+0.030745
## [52] train-mlogloss:0.007443+0.000042 test-mlogloss:0.931408+0.030990
## [53] train-mlogloss:0.007316+0.000040 test-mlogloss:0.933308+0.031469
## [54] train-mlogloss:0.007197+0.000036 test-mlogloss:0.936095+0.031273
## [55] train-mlogloss:0.007080+0.000042 test-mlogloss:0.938137+0.030147
## [56] train-mlogloss:0.006970+0.000041 test-mlogloss:0.940232+0.030187
## [57] train-mlogloss:0.006864+0.000037 test-mlogloss:0.942112+0.031214
## [58] train-mlogloss:0.006765+0.000039 test-mlogloss:0.943355+0.030680
## [59] train-mlogloss:0.006670+0.000040 test-mlogloss:0.944439+0.029779
## [60] train-mlogloss:0.006572+0.000041 test-mlogloss:0.946860+0.030218
## [61] train-mlogloss:0.006476+0.000039 test-mlogloss:0.949364+0.030642
## [62] train-mlogloss:0.006383+0.000041 test-mlogloss:0.950983+0.031027
## [63] train-mlogloss:0.006302+0.000040 test-mlogloss:0.951786+0.030674
## [64] train-mlogloss:0.006217+0.000039 test-mlogloss:0.953913+0.030701
## [65] train-mlogloss:0.006139+0.000038 test-mlogloss:0.955687+0.031084
## [66] train-mlogloss:0.006062+0.000034 test-mlogloss:0.957893+0.031790
## [67] train-mlogloss:0.005986+0.000032 test-mlogloss:0.959188+0.031743
## [68] train-mlogloss:0.005913+0.000032 test-mlogloss:0.960350+0.031471
## [69] train-mlogloss:0.005838+0.000032 test-mlogloss:0.961867+0.031598
## [70] train-mlogloss:0.005769+0.000031 test-mlogloss:0.963431+0.031073
## [71] train-mlogloss:0.005701+0.000030 test-mlogloss:0.965459+0.031898
## [72] train-mlogloss:0.005635+0.000033 test-mlogloss:0.967140+0.031947
## [73] train-mlogloss:0.005573+0.000034 test-mlogloss:0.969126+0.032208
## [74] train-mlogloss:0.005514+0.000033 test-mlogloss:0.970481+0.031672
## [75] train-mlogloss:0.005453+0.000033 test-mlogloss:0.973079+0.031726
## [76] train-mlogloss:0.005393+0.000034 test-mlogloss:0.974761+0.031790
## [77] train-mlogloss:0.005335+0.000037 test-mlogloss:0.975793+0.031692
## [78] train-mlogloss:0.005280+0.000036 test-mlogloss:0.977091+0.031556
## [79] train-mlogloss:0.005225+0.000032 test-mlogloss:0.977948+0.032175
## [80] train-mlogloss:0.005173+0.000031 test-mlogloss:0.978275+0.031730
## [81] train-mlogloss:0.005122+0.000029 test-mlogloss:0.980127+0.032024
## [82] train-mlogloss:0.005072+0.000032 test-mlogloss:0.981408+0.033583
## [83] train-mlogloss:0.005023+0.000031 test-mlogloss:0.983232+0.033482
## [84] train-mlogloss:0.004979+0.000031 test-mlogloss:0.984267+0.032817
## [85] train-mlogloss:0.004931+0.000029 test-mlogloss:0.984919+0.032137
## [86] train-mlogloss:0.004885+0.000028 test-mlogloss:0.986237+0.031678
## [87] train-mlogloss:0.004841+0.000026 test-mlogloss:0.988143+0.032784
## [88] train-mlogloss:0.004795+0.000026 test-mlogloss:0.990008+0.032612
## [89] train-mlogloss:0.004752+0.000027 test-mlogloss:0.991886+0.033196
## [90] train-mlogloss:0.004712+0.000026 test-mlogloss:0.993089+0.033098
## [91] train-mlogloss:0.004671+0.000025 test-mlogloss:0.994276+0.032963
## [92] train-mlogloss:0.004632+0.000023 test-mlogloss:0.995425+0.032919
## [93] train-mlogloss:0.004593+0.000024 test-mlogloss:0.996280+0.032618
## [94] train-mlogloss:0.004553+0.000020 test-mlogloss:0.997406+0.032168
## [95] train-mlogloss:0.004517+0.000020 test-mlogloss:0.998268+0.032373
## [96] train-mlogloss:0.004483+0.000021 test-mlogloss:0.999209+0.032115
## [97] train-mlogloss:0.004448+0.000020 test-mlogloss:1.000972+0.031757
## [98] train-mlogloss:0.004414+0.000018 test-mlogloss:1.002146+0.031853
## [99] train-mlogloss:0.004380+0.000017 test-mlogloss:1.003218+0.032406
## [100] train-mlogloss:0.004346+0.000017 test-mlogloss:1.004307+0.032126
## [101] train-mlogloss:0.004311+0.000016 test-mlogloss:1.005276+0.032171
## [102] train-mlogloss:0.004277+0.000015 test-mlogloss:1.006950+0.031888
## [103] train-mlogloss:0.004244+0.000014 test-mlogloss:1.007804+0.031798
## [104] train-mlogloss:0.004213+0.000013 test-mlogloss:1.008418+0.032163
## [105] train-mlogloss:0.004182+0.000010 test-mlogloss:1.009594+0.031579
## [106] train-mlogloss:0.004153+0.000010 test-mlogloss:1.010603+0.032548
## [107] train-mlogloss:0.004124+0.000009 test-mlogloss:1.011554+0.033125
## [108] train-mlogloss:0.004095+0.000008 test-mlogloss:1.012894+0.032631
## [109] train-mlogloss:0.004064+0.000007 test-mlogloss:1.013892+0.033133
## [110] train-mlogloss:0.004034+0.000006 test-mlogloss:1.015076+0.032894
## [111] train-mlogloss:0.004008+0.000008 test-mlogloss:1.015496+0.032343
## [112] train-mlogloss:0.003982+0.000008 test-mlogloss:1.016986+0.032513
## [113] train-mlogloss:0.003955+0.000009 test-mlogloss:1.018142+0.032879
## [114] train-mlogloss:0.003930+0.000011 test-mlogloss:1.019588+0.032458
## [115] train-mlogloss:0.003906+0.000010 test-mlogloss:1.020526+0.032895
## [116] train-mlogloss:0.003880+0.000011 test-mlogloss:1.020758+0.032896
## [117] train-mlogloss:0.003855+0.000009 test-mlogloss:1.021393+0.032890
## [118] train-mlogloss:0.003831+0.000009 test-mlogloss:1.022678+0.033207
## [119] train-mlogloss:0.003807+0.000011 test-mlogloss:1.023852+0.031850
## [120] train-mlogloss:0.003785+0.000012 test-mlogloss:1.024462+0.032174
## [121] train-mlogloss:0.003760+0.000010 test-mlogloss:1.024904+0.032029
## [122] train-mlogloss:0.003737+0.000009 test-mlogloss:1.026439+0.031744
## [123] train-mlogloss:0.003714+0.000011 test-mlogloss:1.026796+0.031784
## [124] train-mlogloss:0.003692+0.000011 test-mlogloss:1.028128+0.031365
## [125] train-mlogloss:0.003669+0.000010 test-mlogloss:1.029861+0.031236
## [126] train-mlogloss:0.003647+0.000010 test-mlogloss:1.030833+0.031438
## [127] train-mlogloss:0.003627+0.000011 test-mlogloss:1.031872+0.031564
## [128] train-mlogloss:0.003607+0.000011 test-mlogloss:1.032379+0.031847
## [129] train-mlogloss:0.003586+0.000011 test-mlogloss:1.033445+0.032280
## [130] train-mlogloss:0.003563+0.000010 test-mlogloss:1.034562+0.031998
## [131] train-mlogloss:0.003543+0.000012 test-mlogloss:1.034743+0.032902
## [132] train-mlogloss:0.003525+0.000011 test-mlogloss:1.035385+0.033049
## [133] train-mlogloss:0.003506+0.000011 test-mlogloss:1.035822+0.032927
## [134] train-mlogloss:0.003486+0.000013 test-mlogloss:1.036417+0.033412
## [135] train-mlogloss:0.003468+0.000012 test-mlogloss:1.037822+0.033847
## [136] train-mlogloss:0.003449+0.000012 test-mlogloss:1.038499+0.033525
## [137] train-mlogloss:0.003431+0.000011 test-mlogloss:1.039540+0.033582
## [138] train-mlogloss:0.003413+0.000011 test-mlogloss:1.040542+0.033861
## [139] train-mlogloss:0.003396+0.000010 test-mlogloss:1.041669+0.033678
## [140] train-mlogloss:0.003378+0.000009 test-mlogloss:1.042004+0.033708
## [141] train-mlogloss:0.003364+0.000009 test-mlogloss:1.042124+0.034274
## [142] train-mlogloss:0.003347+0.000008 test-mlogloss:1.043499+0.033934
## [143] train-mlogloss:0.003330+0.000008 test-mlogloss:1.044065+0.034154
## [144] train-mlogloss:0.003313+0.000008 test-mlogloss:1.045140+0.034268
## [145] train-mlogloss:0.003296+0.000008 test-mlogloss:1.045885+0.034115
## [146] train-mlogloss:0.003281+0.000008 test-mlogloss:1.046900+0.034206
## [147] train-mlogloss:0.003265+0.000007 test-mlogloss:1.047776+0.033898
## [148] train-mlogloss:0.003250+0.000006 test-mlogloss:1.048113+0.033709
## [149] train-mlogloss:0.003235+0.000007 test-mlogloss:1.048821+0.034405
## [150] train-mlogloss:0.003221+0.000007 test-mlogloss:1.049968+0.034539
## [151] train-mlogloss:0.003204+0.000008 test-mlogloss:1.049940+0.034928
## [152] train-mlogloss:0.003189+0.000007 test-mlogloss:1.050711+0.035521
## [153] train-mlogloss:0.003173+0.000008 test-mlogloss:1.051462+0.035418
## [154] train-mlogloss:0.003158+0.000009 test-mlogloss:1.052443+0.035243
## [155] train-mlogloss:0.003145+0.000011 test-mlogloss:1.053484+0.034660
## [156] train-mlogloss:0.003130+0.000011 test-mlogloss:1.053617+0.035139
## [157] train-mlogloss:0.003116+0.000011 test-mlogloss:1.053809+0.036008
## [158] train-mlogloss:0.003102+0.000010 test-mlogloss:1.054350+0.035776
## [159] train-mlogloss:0.003088+0.000012 test-mlogloss:1.055187+0.035914
## [160] train-mlogloss:0.003074+0.000011 test-mlogloss:1.055852+0.035608
## [161] train-mlogloss:0.003061+0.000011 test-mlogloss:1.056883+0.034915
## [162] train-mlogloss:0.003049+0.000011 test-mlogloss:1.057641+0.035385
## [163] train-mlogloss:0.003035+0.000010 test-mlogloss:1.058309+0.035261
## [164] train-mlogloss:0.003021+0.000010 test-mlogloss:1.059277+0.035804
## [165] train-mlogloss:0.003009+0.000010 test-mlogloss:1.060312+0.036093
## [166] train-mlogloss:0.002997+0.000010 test-mlogloss:1.061235+0.035838
## [167] train-mlogloss:0.002985+0.000010 test-mlogloss:1.061035+0.036425
## [168] train-mlogloss:0.002975+0.000010 test-mlogloss:1.062256+0.035863
## [169] train-mlogloss:0.002963+0.000011 test-mlogloss:1.062853+0.035611
## [170] train-mlogloss:0.002950+0.000011 test-mlogloss:1.063783+0.035826
## [171] train-mlogloss:0.002939+0.000011 test-mlogloss:1.064582+0.035471
## [172] train-mlogloss:0.002926+0.000012 test-mlogloss:1.065563+0.035330
## [173] train-mlogloss:0.002915+0.000012 test-mlogloss:1.065987+0.035904
## [174] train-mlogloss:0.002905+0.000012 test-mlogloss:1.066400+0.035709
## [175] train-mlogloss:0.002893+0.000011 test-mlogloss:1.066703+0.035765
## [176] train-mlogloss:0.002881+0.000011 test-mlogloss:1.067726+0.035338
## [177] train-mlogloss:0.002870+0.000010 test-mlogloss:1.067686+0.035042
## [178] train-mlogloss:0.002859+0.000010 test-mlogloss:1.067964+0.035190
## [179] train-mlogloss:0.002848+0.000010 test-mlogloss:1.068405+0.035095
## [180] train-mlogloss:0.002837+0.000010 test-mlogloss:1.068989+0.035347
## [181] train-mlogloss:0.002826+0.000010 test-mlogloss:1.070162+0.036327
## [182] train-mlogloss:0.002816+0.000011 test-mlogloss:1.070617+0.036378
## [183] train-mlogloss:0.002807+0.000010 test-mlogloss:1.071254+0.035977
## [184] train-mlogloss:0.002796+0.000011 test-mlogloss:1.071705+0.035409
## [185] train-mlogloss:0.002785+0.000012 test-mlogloss:1.072373+0.035491
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## [187] train-mlogloss:0.002765+0.000011 test-mlogloss:1.073496+0.035314
## [188] train-mlogloss:0.002756+0.000011 test-mlogloss:1.073780+0.035036
## [189] train-mlogloss:0.002747+0.000011 test-mlogloss:1.074317+0.035141
## [190] train-mlogloss:0.002737+0.000010 test-mlogloss:1.075069+0.035032
## [191] train-mlogloss:0.002727+0.000011 test-mlogloss:1.075263+0.035307
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## [195] train-mlogloss:0.002689+0.000011 test-mlogloss:1.077006+0.035415
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## [199] train-mlogloss:0.002654+0.000013 test-mlogloss:1.078252+0.036063
## [200] train-mlogloss:0.002646+0.000013 test-mlogloss:1.079086+0.036181
## [201] train-mlogloss:0.002637+0.000013 test-mlogloss:1.079410+0.036400
## [202] train-mlogloss:0.002628+0.000012 test-mlogloss:1.080003+0.036291
## [203] train-mlogloss:0.002620+0.000013 test-mlogloss:1.080510+0.036007
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## [205] train-mlogloss:0.002602+0.000014 test-mlogloss:1.081028+0.036891
## [206] train-mlogloss:0.002593+0.000014 test-mlogloss:1.081164+0.037154
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## [208] train-mlogloss:0.002575+0.000014 test-mlogloss:1.082115+0.036527
## [209] train-mlogloss:0.002566+0.000014 test-mlogloss:1.082485+0.037036
## [210] train-mlogloss:0.002558+0.000014 test-mlogloss:1.082769+0.036643
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## [213] train-mlogloss:0.002535+0.000014 test-mlogloss:1.084659+0.036596
## [214] train-mlogloss:0.002528+0.000014 test-mlogloss:1.085401+0.036745
## [215] train-mlogloss:0.002521+0.000013 test-mlogloss:1.086065+0.036680
## [216] train-mlogloss:0.002512+0.000013 test-mlogloss:1.086313+0.036850
## [217] train-mlogloss:0.002506+0.000014 test-mlogloss:1.087013+0.036670
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## [219] train-mlogloss:0.002491+0.000013 test-mlogloss:1.087716+0.036865
## [220] train-mlogloss:0.002483+0.000014 test-mlogloss:1.088415+0.036896
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## [222] train-mlogloss:0.002468+0.000014 test-mlogloss:1.089919+0.037676
## [223] train-mlogloss:0.002461+0.000013 test-mlogloss:1.090086+0.038180
## [224] train-mlogloss:0.002453+0.000013 test-mlogloss:1.090513+0.038160
## [225] train-mlogloss:0.002446+0.000013 test-mlogloss:1.091291+0.038502
## [226] train-mlogloss:0.002439+0.000013 test-mlogloss:1.091882+0.038784
## [227] train-mlogloss:0.002432+0.000013 test-mlogloss:1.092010+0.039080
## [228] train-mlogloss:0.002425+0.000013 test-mlogloss:1.092366+0.039559
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## [230] train-mlogloss:0.002411+0.000013 test-mlogloss:1.092836+0.038598
## [231] train-mlogloss:0.002403+0.000013 test-mlogloss:1.093266+0.038077
## [232] train-mlogloss:0.002396+0.000013 test-mlogloss:1.093738+0.038065
## [233] train-mlogloss:0.002389+0.000013 test-mlogloss:1.094202+0.037721
## [234] train-mlogloss:0.002384+0.000013 test-mlogloss:1.094944+0.037342
## [235] train-mlogloss:0.002377+0.000013 test-mlogloss:1.094892+0.038105
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## [239] train-mlogloss:0.002351+0.000012 test-mlogloss:1.096405+0.038434
## [240] train-mlogloss:0.002345+0.000011 test-mlogloss:1.095803+0.038263
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## [244] train-mlogloss:0.002319+0.000012 test-mlogloss:1.098117+0.037793
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## [248] train-mlogloss:0.002296+0.000012 test-mlogloss:1.100255+0.038631
## [249] train-mlogloss:0.002290+0.000012 test-mlogloss:1.100818+0.038010
## [250] train-mlogloss:0.002285+0.000012 test-mlogloss:1.101038+0.038060
## [251] train-mlogloss:0.002279+0.000012 test-mlogloss:1.101422+0.037976
## [252] train-mlogloss:0.002274+0.000013 test-mlogloss:1.101981+0.038035
## [253] train-mlogloss:0.002268+0.000012 test-mlogloss:1.102368+0.037265
## [254] train-mlogloss:0.002261+0.000012 test-mlogloss:1.102888+0.037412
## [255] train-mlogloss:0.002256+0.000012 test-mlogloss:1.103447+0.037337
## [256] train-mlogloss:0.002250+0.000012 test-mlogloss:1.103478+0.037628
## [257] train-mlogloss:0.002243+0.000012 test-mlogloss:1.104029+0.038184
## [258] train-mlogloss:0.002238+0.000012 test-mlogloss:1.104445+0.038201
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## [260] train-mlogloss:0.002227+0.000012 test-mlogloss:1.105355+0.038048
## [261] train-mlogloss:0.002223+0.000012 test-mlogloss:1.104922+0.038264
## [262] train-mlogloss:0.002217+0.000012 test-mlogloss:1.106002+0.038094
## [263] train-mlogloss:0.002212+0.000011 test-mlogloss:1.106538+0.038255
## [264] train-mlogloss:0.002207+0.000012 test-mlogloss:1.106357+0.038295
## [265] train-mlogloss:0.002202+0.000012 test-mlogloss:1.106425+0.038385
## [266] train-mlogloss:0.002197+0.000012 test-mlogloss:1.107124+0.038206
## [267] train-mlogloss:0.002192+0.000011 test-mlogloss:1.106865+0.038098
## [268] train-mlogloss:0.002187+0.000012 test-mlogloss:1.107478+0.038205
## [269] train-mlogloss:0.002182+0.000011 test-mlogloss:1.107872+0.038672
## [270] train-mlogloss:0.002177+0.000012 test-mlogloss:1.108114+0.038496
## [271] train-mlogloss:0.002172+0.000012 test-mlogloss:1.108559+0.039238
## [272] train-mlogloss:0.002167+0.000012 test-mlogloss:1.109032+0.039073
## [273] train-mlogloss:0.002162+0.000011 test-mlogloss:1.109347+0.038887
## [274] train-mlogloss:0.002157+0.000011 test-mlogloss:1.110475+0.038662
## [275] train-mlogloss:0.002152+0.000010 test-mlogloss:1.110873+0.039113
## [276] train-mlogloss:0.002147+0.000010 test-mlogloss:1.110889+0.038907
## [277] train-mlogloss:0.002142+0.000010 test-mlogloss:1.111199+0.039025
## [278] train-mlogloss:0.002137+0.000010 test-mlogloss:1.111725+0.039429
## [279] train-mlogloss:0.002132+0.000010 test-mlogloss:1.111991+0.039768
## [280] train-mlogloss:0.002127+0.000010 test-mlogloss:1.112182+0.038770
## [281] train-mlogloss:0.002122+0.000010 test-mlogloss:1.112313+0.038531
## [282] train-mlogloss:0.002117+0.000010 test-mlogloss:1.112667+0.038539
## [283] train-mlogloss:0.002112+0.000010 test-mlogloss:1.112816+0.038411
## [284] train-mlogloss:0.002108+0.000010 test-mlogloss:1.113451+0.038374
## [285] train-mlogloss:0.002104+0.000010 test-mlogloss:1.113805+0.038947
## [286] train-mlogloss:0.002099+0.000010 test-mlogloss:1.114143+0.038922
## [287] train-mlogloss:0.002094+0.000010 test-mlogloss:1.114468+0.038544
## [288] train-mlogloss:0.002089+0.000010 test-mlogloss:1.115143+0.038480
## [289] train-mlogloss:0.002085+0.000010 test-mlogloss:1.115560+0.039149
## [290] train-mlogloss:0.002081+0.000010 test-mlogloss:1.115473+0.038877
## [291] train-mlogloss:0.002076+0.000010 test-mlogloss:1.115860+0.038691
## [292] train-mlogloss:0.002071+0.000010 test-mlogloss:1.116585+0.039288
## [293] train-mlogloss:0.002067+0.000010 test-mlogloss:1.117292+0.038970
## [294] train-mlogloss:0.002063+0.000010 test-mlogloss:1.117747+0.038916
## [295] train-mlogloss:0.002059+0.000010 test-mlogloss:1.117978+0.038896
## [296] train-mlogloss:0.002054+0.000010 test-mlogloss:1.117782+0.039158
## [297] train-mlogloss:0.002049+0.000010 test-mlogloss:1.117757+0.039066
## [298] train-mlogloss:0.002045+0.000010 test-mlogloss:1.117868+0.038968
## [299] train-mlogloss:0.002041+0.000010 test-mlogloss:1.118026+0.038961
## [300] train-mlogloss:0.002036+0.000011 test-mlogloss:1.118508+0.038602
## [301] train-mlogloss:0.002032+0.000011 test-mlogloss:1.118457+0.039346
## [302] train-mlogloss:0.002028+0.000011 test-mlogloss:1.118645+0.039357
## [303] train-mlogloss:0.002024+0.000010 test-mlogloss:1.118784+0.039311
## [304] train-mlogloss:0.002019+0.000011 test-mlogloss:1.118858+0.039392
## [305] train-mlogloss:0.002015+0.000010 test-mlogloss:1.119832+0.039045
## [306] train-mlogloss:0.002011+0.000010 test-mlogloss:1.120447+0.038817
## [307] train-mlogloss:0.002008+0.000010 test-mlogloss:1.121368+0.038349
## [308] train-mlogloss:0.002004+0.000010 test-mlogloss:1.121463+0.039203
## [309] train-mlogloss:0.001999+0.000010 test-mlogloss:1.121713+0.039450
## [310] train-mlogloss:0.001996+0.000009 test-mlogloss:1.122240+0.039531
## [311] train-mlogloss:0.001992+0.000010 test-mlogloss:1.122957+0.039191
## [312] train-mlogloss:0.001988+0.000010 test-mlogloss:1.123470+0.039636
## [313] train-mlogloss:0.001984+0.000009 test-mlogloss:1.123485+0.039208
## [314] train-mlogloss:0.001980+0.000010 test-mlogloss:1.124220+0.038892
## [315] train-mlogloss:0.001976+0.000010 test-mlogloss:1.124739+0.039396
## [316] train-mlogloss:0.001972+0.000009 test-mlogloss:1.125146+0.039412
## [317] train-mlogloss:0.001968+0.000009 test-mlogloss:1.125556+0.039523
## [318] train-mlogloss:0.001965+0.000009 test-mlogloss:1.125640+0.039117
## [319] train-mlogloss:0.001961+0.000010 test-mlogloss:1.125908+0.039248
## [320] train-mlogloss:0.001957+0.000009 test-mlogloss:1.126312+0.038919
## [321] train-mlogloss:0.001953+0.000009 test-mlogloss:1.126255+0.039434
## [322] train-mlogloss:0.001950+0.000009 test-mlogloss:1.126971+0.038980
## [323] train-mlogloss:0.001946+0.000009 test-mlogloss:1.127603+0.038878
## [324] train-mlogloss:0.001943+0.000009 test-mlogloss:1.127749+0.038814
## [325] train-mlogloss:0.001940+0.000009 test-mlogloss:1.127548+0.039376
## [326] train-mlogloss:0.001936+0.000009 test-mlogloss:1.128329+0.039528
## [327] train-mlogloss:0.001932+0.000009 test-mlogloss:1.128894+0.039183
## [328] train-mlogloss:0.001929+0.000009 test-mlogloss:1.129654+0.038993
## [329] train-mlogloss:0.001926+0.000009 test-mlogloss:1.129533+0.039219
## [330] train-mlogloss:0.001922+0.000009 test-mlogloss:1.129401+0.039137
## [331] train-mlogloss:0.001919+0.000008 test-mlogloss:1.129605+0.039106
## [332] train-mlogloss:0.001916+0.000009 test-mlogloss:1.130124+0.038887
## [333] train-mlogloss:0.001912+0.000009 test-mlogloss:1.130649+0.038824
## [334] train-mlogloss:0.001908+0.000009 test-mlogloss:1.131025+0.039128
## [335] train-mlogloss:0.001906+0.000009 test-mlogloss:1.131609+0.038946
## [336] train-mlogloss:0.001902+0.000009 test-mlogloss:1.132097+0.038113
## [337] train-mlogloss:0.001899+0.000009 test-mlogloss:1.132210+0.037882
## [338] train-mlogloss:0.001895+0.000009 test-mlogloss:1.132755+0.038841
## [339] train-mlogloss:0.001892+0.000010 test-mlogloss:1.133158+0.038368
## [340] train-mlogloss:0.001889+0.000010 test-mlogloss:1.133570+0.038540
## [341] train-mlogloss:0.001885+0.000009 test-mlogloss:1.133778+0.038851
## [342] train-mlogloss:0.001882+0.000009 test-mlogloss:1.133896+0.038206
## [343] train-mlogloss:0.001878+0.000009 test-mlogloss:1.134201+0.038186
## [344] train-mlogloss:0.001875+0.000009 test-mlogloss:1.134696+0.038083
## [345] train-mlogloss:0.001872+0.000009 test-mlogloss:1.134498+0.038143
## [346] train-mlogloss:0.001868+0.000009 test-mlogloss:1.134835+0.038429
## [347] train-mlogloss:0.001865+0.000009 test-mlogloss:1.135154+0.038577
## [348] train-mlogloss:0.001862+0.000009 test-mlogloss:1.135212+0.038303
## [349] train-mlogloss:0.001858+0.000009 test-mlogloss:1.135689+0.038104
## [350] train-mlogloss:0.001855+0.000009 test-mlogloss:1.136008+0.038338
## [351] train-mlogloss:0.001852+0.000009 test-mlogloss:1.136851+0.037874
## [352] train-mlogloss:0.001849+0.000009 test-mlogloss:1.136900+0.038245
## [353] train-mlogloss:0.001845+0.000010 test-mlogloss:1.137002+0.038764
## [354] train-mlogloss:0.001842+0.000009 test-mlogloss:1.137955+0.038878
## [355] train-mlogloss:0.001839+0.000009 test-mlogloss:1.138468+0.038829
## [356] train-mlogloss:0.001835+0.000009 test-mlogloss:1.138693+0.038562
## [357] train-mlogloss:0.001832+0.000009 test-mlogloss:1.139010+0.037976
## [358] train-mlogloss:0.001829+0.000009 test-mlogloss:1.139076+0.038678
## [359] train-mlogloss:0.001825+0.000009 test-mlogloss:1.139229+0.038229
## [360] train-mlogloss:0.001823+0.000009 test-mlogloss:1.139632+0.038239
## [361] train-mlogloss:0.001820+0.000009 test-mlogloss:1.139955+0.038316
## [362] train-mlogloss:0.001817+0.000008 test-mlogloss:1.140421+0.038249
## [363] train-mlogloss:0.001814+0.000008 test-mlogloss:1.140233+0.037720
## [364] train-mlogloss:0.001810+0.000008 test-mlogloss:1.140624+0.037759
## [365] train-mlogloss:0.001808+0.000008 test-mlogloss:1.140551+0.038229
## [366] train-mlogloss:0.001805+0.000009 test-mlogloss:1.141260+0.038255
## [367] train-mlogloss:0.001802+0.000008 test-mlogloss:1.141277+0.038100
## [368] train-mlogloss:0.001799+0.000009 test-mlogloss:1.141202+0.038595
## [369] train-mlogloss:0.001796+0.000009 test-mlogloss:1.141599+0.038273
## [370] train-mlogloss:0.001793+0.000008 test-mlogloss:1.141974+0.038039
## [371] train-mlogloss:0.001790+0.000008 test-mlogloss:1.142305+0.038322
## [372] train-mlogloss:0.001788+0.000008 test-mlogloss:1.142587+0.038251
## [373] train-mlogloss:0.001785+0.000008 test-mlogloss:1.142813+0.037970
## [374] train-mlogloss:0.001782+0.000008 test-mlogloss:1.143080+0.038076
## [375] train-mlogloss:0.001779+0.000008 test-mlogloss:1.143440+0.038018
## [376] train-mlogloss:0.001776+0.000008 test-mlogloss:1.143511+0.038128
## [377] train-mlogloss:0.001773+0.000008 test-mlogloss:1.143556+0.038628
## [378] train-mlogloss:0.001770+0.000008 test-mlogloss:1.143679+0.038541
## [379] train-mlogloss:0.001767+0.000008 test-mlogloss:1.143678+0.038773
## [380] train-mlogloss:0.001765+0.000008 test-mlogloss:1.144492+0.038563
## [381] train-mlogloss:0.001762+0.000008 test-mlogloss:1.144692+0.038406
## [382] train-mlogloss:0.001759+0.000007 test-mlogloss:1.145257+0.038723
## [383] train-mlogloss:0.001756+0.000008 test-mlogloss:1.145075+0.038694
## [384] train-mlogloss:0.001753+0.000008 test-mlogloss:1.145309+0.038527
## [385] train-mlogloss:0.001750+0.000008 test-mlogloss:1.145364+0.038944
## [386] train-mlogloss:0.001748+0.000008 test-mlogloss:1.145443+0.039161
## [387] train-mlogloss:0.001745+0.000008 test-mlogloss:1.145903+0.038826
## [388] train-mlogloss:0.001742+0.000008 test-mlogloss:1.146341+0.038694
## [389] train-mlogloss:0.001739+0.000009 test-mlogloss:1.146531+0.038657
## [390] train-mlogloss:0.001737+0.000009 test-mlogloss:1.146464+0.039130
## [391] train-mlogloss:0.001734+0.000008 test-mlogloss:1.146854+0.038577
## [392] train-mlogloss:0.001731+0.000008 test-mlogloss:1.147244+0.038463
## [393] train-mlogloss:0.001729+0.000008 test-mlogloss:1.147840+0.038209
## [394] train-mlogloss:0.001726+0.000008 test-mlogloss:1.147750+0.038327
## [395] train-mlogloss:0.001724+0.000007 test-mlogloss:1.148074+0.038309
## [396] train-mlogloss:0.001721+0.000007 test-mlogloss:1.148428+0.038699
## [397] train-mlogloss:0.001719+0.000007 test-mlogloss:1.148778+0.038976
## [398] train-mlogloss:0.001716+0.000008 test-mlogloss:1.149162+0.038544
## [399] train-mlogloss:0.001714+0.000008 test-mlogloss:1.149290+0.038654
## [400] train-mlogloss:0.001711+0.000008 test-mlogloss:1.149346+0.039020
## [401] train-mlogloss:0.001708+0.000007 test-mlogloss:1.150157+0.038579
## [402] train-mlogloss:0.001706+0.000007 test-mlogloss:1.149713+0.038642
## [403] train-mlogloss:0.001704+0.000007 test-mlogloss:1.150401+0.039095
## [404] train-mlogloss:0.001701+0.000008 test-mlogloss:1.150455+0.039344
## [405] train-mlogloss:0.001698+0.000008 test-mlogloss:1.150635+0.039236
## [406] train-mlogloss:0.001696+0.000008 test-mlogloss:1.151140+0.038879
## [407] train-mlogloss:0.001694+0.000007 test-mlogloss:1.151353+0.039430
## [408] train-mlogloss:0.001691+0.000007 test-mlogloss:1.151323+0.038833
## [409] train-mlogloss:0.001688+0.000007 test-mlogloss:1.151724+0.038743
## [410] train-mlogloss:0.001686+0.000008 test-mlogloss:1.152199+0.038681
## [411] train-mlogloss:0.001684+0.000007 test-mlogloss:1.152295+0.038589
## [412] train-mlogloss:0.001681+0.000007 test-mlogloss:1.152472+0.038981
## [413] train-mlogloss:0.001679+0.000007 test-mlogloss:1.152934+0.039360
## [414] train-mlogloss:0.001677+0.000008 test-mlogloss:1.153080+0.039531
## [415] train-mlogloss:0.001674+0.000007 test-mlogloss:1.153244+0.039619
## [416] train-mlogloss:0.001672+0.000007 test-mlogloss:1.153548+0.039079
## [417] train-mlogloss:0.001670+0.000007 test-mlogloss:1.154138+0.038715
## [418] train-mlogloss:0.001668+0.000007 test-mlogloss:1.154496+0.038453
## [419] train-mlogloss:0.001665+0.000007 test-mlogloss:1.154380+0.038851
## [420] train-mlogloss:0.001663+0.000008 test-mlogloss:1.154998+0.039042
## [421] train-mlogloss:0.001661+0.000008 test-mlogloss:1.154587+0.038859
## [422] train-mlogloss:0.001658+0.000008 test-mlogloss:1.154821+0.039153
## [423] train-mlogloss:0.001656+0.000007 test-mlogloss:1.154579+0.038778
## [424] train-mlogloss:0.001654+0.000007 test-mlogloss:1.155135+0.038792
## [425] train-mlogloss:0.001651+0.000008 test-mlogloss:1.155319+0.038920
## [426] train-mlogloss:0.001649+0.000008 test-mlogloss:1.155382+0.038562
## [427] train-mlogloss:0.001647+0.000008 test-mlogloss:1.155562+0.038294
## [428] train-mlogloss:0.001645+0.000007 test-mlogloss:1.156188+0.038392
## [429] train-mlogloss:0.001642+0.000007 test-mlogloss:1.156460+0.038259
## [430] train-mlogloss:0.001640+0.000007 test-mlogloss:1.157033+0.038835
## [431] train-mlogloss:0.001638+0.000008 test-mlogloss:1.157245+0.039182
## [432] train-mlogloss:0.001635+0.000007 test-mlogloss:1.157402+0.038985
## [433] train-mlogloss:0.001633+0.000008 test-mlogloss:1.157399+0.039097
## [434] train-mlogloss:0.001631+0.000008 test-mlogloss:1.157843+0.038783
## [435] train-mlogloss:0.001629+0.000007 test-mlogloss:1.157887+0.038887
## [436] train-mlogloss:0.001627+0.000008 test-mlogloss:1.158432+0.039046
## [437] train-mlogloss:0.001624+0.000008 test-mlogloss:1.158572+0.038912
## [438] train-mlogloss:0.001622+0.000008 test-mlogloss:1.158528+0.039165
## [439] train-mlogloss:0.001621+0.000008 test-mlogloss:1.158700+0.039186
## [440] train-mlogloss:0.001618+0.000007 test-mlogloss:1.159219+0.038854
## [441] train-mlogloss:0.001616+0.000007 test-mlogloss:1.159563+0.038510
## [442] train-mlogloss:0.001614+0.000007 test-mlogloss:1.159573+0.038711
## [443] train-mlogloss:0.001612+0.000007 test-mlogloss:1.159877+0.038928
## [444] train-mlogloss:0.001610+0.000007 test-mlogloss:1.159768+0.038523
## [445] train-mlogloss:0.001607+0.000007 test-mlogloss:1.160409+0.038549
## [446] train-mlogloss:0.001605+0.000007 test-mlogloss:1.161087+0.038240
## [447] train-mlogloss:0.001604+0.000007 test-mlogloss:1.161156+0.039187
## [448] train-mlogloss:0.001602+0.000007 test-mlogloss:1.161823+0.038489
## [449] train-mlogloss:0.001600+0.000007 test-mlogloss:1.161727+0.038087
## [450] train-mlogloss:0.001598+0.000007 test-mlogloss:1.161900+0.038408
## [451] train-mlogloss:0.001595+0.000007 test-mlogloss:1.162258+0.038399
## [452] train-mlogloss:0.001594+0.000007 test-mlogloss:1.162372+0.038604
## [453] train-mlogloss:0.001592+0.000007 test-mlogloss:1.162730+0.039127
## [454] train-mlogloss:0.001590+0.000007 test-mlogloss:1.162827+0.039103
## [455] train-mlogloss:0.001588+0.000007 test-mlogloss:1.163262+0.039088
## [456] train-mlogloss:0.001586+0.000007 test-mlogloss:1.163257+0.038831
## [457] train-mlogloss:0.001584+0.000007 test-mlogloss:1.163174+0.039309
## [458] train-mlogloss:0.001582+0.000007 test-mlogloss:1.163433+0.038869
## [459] train-mlogloss:0.001580+0.000007 test-mlogloss:1.163343+0.039079
## [460] train-mlogloss:0.001578+0.000008 test-mlogloss:1.163550+0.039383
## [461] train-mlogloss:0.001577+0.000007 test-mlogloss:1.163519+0.039481
## [462] train-mlogloss:0.001575+0.000007 test-mlogloss:1.163744+0.039826
## [463] train-mlogloss:0.001572+0.000007 test-mlogloss:1.163796+0.040023
## [464] train-mlogloss:0.001570+0.000007 test-mlogloss:1.164114+0.039850
## [465] train-mlogloss:0.001568+0.000007 test-mlogloss:1.164773+0.039800
## [466] train-mlogloss:0.001566+0.000007 test-mlogloss:1.164506+0.039804
## [467] train-mlogloss:0.001565+0.000007 test-mlogloss:1.164540+0.039666
## [468] train-mlogloss:0.001563+0.000007 test-mlogloss:1.164835+0.039242
## [469] train-mlogloss:0.001561+0.000007 test-mlogloss:1.165332+0.039503
## [470] train-mlogloss:0.001559+0.000008 test-mlogloss:1.165212+0.039164
## [471] train-mlogloss:0.001557+0.000007 test-mlogloss:1.165132+0.039349
## [472] train-mlogloss:0.001556+0.000008 test-mlogloss:1.165587+0.039329
## [473] train-mlogloss:0.001554+0.000008 test-mlogloss:1.166465+0.039044
## [474] train-mlogloss:0.001552+0.000008 test-mlogloss:1.166237+0.039364
## [475] train-mlogloss:0.001550+0.000007 test-mlogloss:1.166785+0.038865
## [476] train-mlogloss:0.001548+0.000007 test-mlogloss:1.166778+0.039075
## [477] train-mlogloss:0.001546+0.000007 test-mlogloss:1.167063+0.038879
## [478] train-mlogloss:0.001544+0.000007 test-mlogloss:1.167021+0.039456
## [479] train-mlogloss:0.001542+0.000007 test-mlogloss:1.167411+0.039293
## [480] train-mlogloss:0.001540+0.000008 test-mlogloss:1.167849+0.039567
## [481] train-mlogloss:0.001539+0.000008 test-mlogloss:1.167843+0.039274
## [482] train-mlogloss:0.001537+0.000008 test-mlogloss:1.168236+0.039259
## [483] train-mlogloss:0.001535+0.000008 test-mlogloss:1.168364+0.039188
## [484] train-mlogloss:0.001533+0.000008 test-mlogloss:1.168760+0.039267
## [485] train-mlogloss:0.001531+0.000008 test-mlogloss:1.168773+0.039095
## [486] train-mlogloss:0.001530+0.000007 test-mlogloss:1.169322+0.039091
## [487] train-mlogloss:0.001528+0.000008 test-mlogloss:1.168984+0.038641
## [488] train-mlogloss:0.001526+0.000008 test-mlogloss:1.169172+0.038941
## [489] train-mlogloss:0.001525+0.000007 test-mlogloss:1.169636+0.039428
## [490] train-mlogloss:0.001523+0.000008 test-mlogloss:1.169442+0.039174
## [491] train-mlogloss:0.001521+0.000008 test-mlogloss:1.170016+0.039456
## [492] train-mlogloss:0.001519+0.000008 test-mlogloss:1.169953+0.039437
## [493] train-mlogloss:0.001517+0.000008 test-mlogloss:1.170486+0.039223
## [494] train-mlogloss:0.001516+0.000008 test-mlogloss:1.170142+0.039284
## [495] train-mlogloss:0.001514+0.000008 test-mlogloss:1.169838+0.039666
## [496] train-mlogloss:0.001512+0.000008 test-mlogloss:1.170844+0.039524
## [497] train-mlogloss:0.001511+0.000008 test-mlogloss:1.170889+0.039249
## [498] train-mlogloss:0.001509+0.000008 test-mlogloss:1.171419+0.039595
## [499] train-mlogloss:0.001507+0.000008 test-mlogloss:1.171225+0.039747
## [500] train-mlogloss:0.001505+0.000008 test-mlogloss:1.171629+0.039863
## [1] train-mlogloss:0.522143+0.002300 test-mlogloss:0.545033+0.011338
## [2] train-mlogloss:0.499653+0.002891 test-mlogloss:0.542468+0.012309
## [3] train-mlogloss:0.487307+0.001404 test-mlogloss:0.546891+0.011105
## [4] train-mlogloss:0.477906+0.003274 test-mlogloss:0.550227+0.012102
## [5] train-mlogloss:0.467534+0.003335 test-mlogloss:0.554536+0.012436
## [6] train-mlogloss:0.457803+0.004231 test-mlogloss:0.559419+0.011795
## [7] train-mlogloss:0.446497+0.004545 test-mlogloss:0.564468+0.014454
## [8] train-mlogloss:0.438269+0.005661 test-mlogloss:0.567456+0.014235
## [9] train-mlogloss:0.430105+0.006239 test-mlogloss:0.569588+0.013590
## [10] train-mlogloss:0.420668+0.005833 test-mlogloss:0.572255+0.012579
## [11] train-mlogloss:0.410684+0.005451 test-mlogloss:0.576839+0.012491
## [12] train-mlogloss:0.401211+0.006668 test-mlogloss:0.580699+0.014401
## [13] train-mlogloss:0.391965+0.008629 test-mlogloss:0.584846+0.015574
## [14] train-mlogloss:0.383776+0.007275 test-mlogloss:0.587678+0.016817
## [15] train-mlogloss:0.375407+0.007404 test-mlogloss:0.590754+0.017996
## [16] train-mlogloss:0.367297+0.007789 test-mlogloss:0.595216+0.018000
## [17] train-mlogloss:0.359055+0.008931 test-mlogloss:0.599276+0.020422
## [18] train-mlogloss:0.351033+0.008114 test-mlogloss:0.604481+0.019660
## [19] train-mlogloss:0.343739+0.007888 test-mlogloss:0.608446+0.020684
## [20] train-mlogloss:0.337806+0.007177 test-mlogloss:0.609378+0.019728
## [21] train-mlogloss:0.330214+0.006727 test-mlogloss:0.612484+0.021153
## [22] train-mlogloss:0.322799+0.006743 test-mlogloss:0.616223+0.020553
## [23] train-mlogloss:0.315635+0.005716 test-mlogloss:0.620840+0.020733
## [24] train-mlogloss:0.308580+0.006981 test-mlogloss:0.626150+0.021815
## [25] train-mlogloss:0.301652+0.006706 test-mlogloss:0.628164+0.021625
## [26] train-mlogloss:0.294845+0.006582 test-mlogloss:0.630730+0.021198
## [27] train-mlogloss:0.288018+0.006452 test-mlogloss:0.633895+0.019986
## [28] train-mlogloss:0.281532+0.008145 test-mlogloss:0.636880+0.021089
## [29] train-mlogloss:0.276065+0.007858 test-mlogloss:0.641518+0.020598
## [30] train-mlogloss:0.269893+0.008501 test-mlogloss:0.645822+0.022445
## [31] train-mlogloss:0.264077+0.008487 test-mlogloss:0.649162+0.023840
## [32] train-mlogloss:0.258022+0.007407 test-mlogloss:0.652005+0.023339
## [33] train-mlogloss:0.252032+0.007452 test-mlogloss:0.656002+0.023180
## [34] train-mlogloss:0.246411+0.007026 test-mlogloss:0.659834+0.024231
## [35] train-mlogloss:0.242198+0.006903 test-mlogloss:0.662018+0.023679
## [36] train-mlogloss:0.236869+0.007272 test-mlogloss:0.665420+0.024029
## [37] train-mlogloss:0.231837+0.006310 test-mlogloss:0.670236+0.022931
## [38] train-mlogloss:0.226523+0.006076 test-mlogloss:0.673466+0.024490
## [39] train-mlogloss:0.220789+0.006138 test-mlogloss:0.676016+0.025997
## [40] train-mlogloss:0.215569+0.006300 test-mlogloss:0.678699+0.027270
## [41] train-mlogloss:0.210824+0.005431 test-mlogloss:0.680584+0.026826
## [42] train-mlogloss:0.207101+0.005198 test-mlogloss:0.683324+0.028205
## [43] train-mlogloss:0.203259+0.005361 test-mlogloss:0.686535+0.027476
## [44] train-mlogloss:0.199034+0.005241 test-mlogloss:0.689332+0.028231
## [45] train-mlogloss:0.195388+0.004985 test-mlogloss:0.693101+0.028790
## [46] train-mlogloss:0.191576+0.004623 test-mlogloss:0.695687+0.028833
## [47] train-mlogloss:0.187487+0.004754 test-mlogloss:0.699253+0.031153
## [48] train-mlogloss:0.184596+0.004734 test-mlogloss:0.703037+0.032651
## [49] train-mlogloss:0.181198+0.004630 test-mlogloss:0.706609+0.031799
## [50] train-mlogloss:0.177944+0.004456 test-mlogloss:0.710280+0.032211
## [51] train-mlogloss:0.174131+0.004636 test-mlogloss:0.711848+0.031267
## [52] train-mlogloss:0.170598+0.004022 test-mlogloss:0.713643+0.029913
## [53] train-mlogloss:0.166856+0.003992 test-mlogloss:0.716968+0.028734
## [54] train-mlogloss:0.162848+0.004017 test-mlogloss:0.720899+0.028577
## [55] train-mlogloss:0.159126+0.003697 test-mlogloss:0.723214+0.027725
## [56] train-mlogloss:0.155766+0.003564 test-mlogloss:0.727560+0.030719
## [57] train-mlogloss:0.152730+0.003482 test-mlogloss:0.728627+0.031343
## [58] train-mlogloss:0.150109+0.002906 test-mlogloss:0.730734+0.030958
## [59] train-mlogloss:0.147365+0.003041 test-mlogloss:0.733768+0.031571
## [60] train-mlogloss:0.144138+0.002935 test-mlogloss:0.736214+0.032907
## [61] train-mlogloss:0.141463+0.003037 test-mlogloss:0.737827+0.033933
## [62] train-mlogloss:0.138984+0.002782 test-mlogloss:0.739660+0.034787
## [63] train-mlogloss:0.136132+0.002985 test-mlogloss:0.743183+0.033841
## [64] train-mlogloss:0.132962+0.003263 test-mlogloss:0.743432+0.032668
## [65] train-mlogloss:0.130707+0.003172 test-mlogloss:0.746274+0.031477
## [66] train-mlogloss:0.128143+0.002962 test-mlogloss:0.747196+0.031648
## [67] train-mlogloss:0.125272+0.002915 test-mlogloss:0.751223+0.033597
## [68] train-mlogloss:0.122425+0.002950 test-mlogloss:0.751686+0.033998
## [69] train-mlogloss:0.120204+0.003195 test-mlogloss:0.754625+0.034738
## [70] train-mlogloss:0.117534+0.002699 test-mlogloss:0.756951+0.034601
## [71] train-mlogloss:0.115324+0.002683 test-mlogloss:0.759591+0.034046
## [72] train-mlogloss:0.113438+0.003045 test-mlogloss:0.760954+0.035187
## [73] train-mlogloss:0.111212+0.003135 test-mlogloss:0.763700+0.034378
## [74] train-mlogloss:0.108878+0.002991 test-mlogloss:0.767123+0.034491
## [75] train-mlogloss:0.106722+0.002657 test-mlogloss:0.770638+0.034878
## [76] train-mlogloss:0.104411+0.002570 test-mlogloss:0.773066+0.035711
## [77] train-mlogloss:0.102487+0.002307 test-mlogloss:0.773436+0.035616
## [78] train-mlogloss:0.100109+0.002183 test-mlogloss:0.776031+0.036861
## [79] train-mlogloss:0.098183+0.001521 test-mlogloss:0.778036+0.037082
## [80] train-mlogloss:0.096208+0.001574 test-mlogloss:0.781499+0.038232
## [81] train-mlogloss:0.094645+0.001474 test-mlogloss:0.783217+0.037208
## [82] train-mlogloss:0.092846+0.001726 test-mlogloss:0.787135+0.037894
## [83] train-mlogloss:0.091143+0.001976 test-mlogloss:0.790014+0.038449
## [84] train-mlogloss:0.089120+0.001966 test-mlogloss:0.793858+0.038773
## [85] train-mlogloss:0.087551+0.002072 test-mlogloss:0.795781+0.040150
## [86] train-mlogloss:0.085768+0.001980 test-mlogloss:0.799786+0.039407
## [87] train-mlogloss:0.084304+0.001812 test-mlogloss:0.800327+0.038606
## [88] train-mlogloss:0.082723+0.001696 test-mlogloss:0.802872+0.039524
## [89] train-mlogloss:0.081133+0.001581 test-mlogloss:0.804569+0.039019
## [90] train-mlogloss:0.079722+0.001346 test-mlogloss:0.805745+0.040946
## [91] train-mlogloss:0.078141+0.001190 test-mlogloss:0.808582+0.040622
## [92] train-mlogloss:0.076509+0.001314 test-mlogloss:0.811852+0.040954
## [93] train-mlogloss:0.074981+0.001382 test-mlogloss:0.815464+0.041145
## [94] train-mlogloss:0.073742+0.001460 test-mlogloss:0.817528+0.040854
## [95] train-mlogloss:0.072215+0.001337 test-mlogloss:0.819975+0.041000
## [96] train-mlogloss:0.070770+0.001273 test-mlogloss:0.822196+0.041558
## [97] train-mlogloss:0.069602+0.001146 test-mlogloss:0.825367+0.042985
## [98] train-mlogloss:0.068284+0.001099 test-mlogloss:0.827042+0.041934
## [99] train-mlogloss:0.067040+0.001299 test-mlogloss:0.828735+0.043490
## [100] train-mlogloss:0.065941+0.001339 test-mlogloss:0.830835+0.043393
## [101] train-mlogloss:0.064741+0.001247 test-mlogloss:0.832790+0.044168
## [102] train-mlogloss:0.063724+0.001368 test-mlogloss:0.834678+0.045418
## [103] train-mlogloss:0.062373+0.001333 test-mlogloss:0.836191+0.045441
## [104] train-mlogloss:0.061249+0.001481 test-mlogloss:0.839456+0.046978
## [105] train-mlogloss:0.060302+0.001590 test-mlogloss:0.840289+0.047018
## [106] train-mlogloss:0.059405+0.001550 test-mlogloss:0.842997+0.046200
## [107] train-mlogloss:0.058328+0.001542 test-mlogloss:0.843251+0.046266
## [108] train-mlogloss:0.057316+0.001426 test-mlogloss:0.845970+0.047680
## [109] train-mlogloss:0.056180+0.001344 test-mlogloss:0.847695+0.048203
## [110] train-mlogloss:0.055042+0.001294 test-mlogloss:0.851685+0.047865
## [111] train-mlogloss:0.054069+0.001231 test-mlogloss:0.853948+0.048433
## [112] train-mlogloss:0.053261+0.001329 test-mlogloss:0.855597+0.047045
## [113] train-mlogloss:0.052397+0.001237 test-mlogloss:0.857833+0.047196
## [114] train-mlogloss:0.051521+0.001040 test-mlogloss:0.860056+0.047202
## [115] train-mlogloss:0.050609+0.001033 test-mlogloss:0.862712+0.047412
## [116] train-mlogloss:0.049718+0.001008 test-mlogloss:0.864612+0.046555
## [117] train-mlogloss:0.048960+0.001007 test-mlogloss:0.865458+0.046119
## [118] train-mlogloss:0.048280+0.000925 test-mlogloss:0.867863+0.046078
## [119] train-mlogloss:0.047502+0.000977 test-mlogloss:0.870309+0.046263
## [120] train-mlogloss:0.046666+0.000867 test-mlogloss:0.873188+0.046589
## [121] train-mlogloss:0.045876+0.000743 test-mlogloss:0.874693+0.045970
## [122] train-mlogloss:0.045061+0.000718 test-mlogloss:0.875972+0.045179
## [123] train-mlogloss:0.044289+0.000761 test-mlogloss:0.878880+0.046243
## [124] train-mlogloss:0.043574+0.000724 test-mlogloss:0.879829+0.046460
## [125] train-mlogloss:0.042862+0.000739 test-mlogloss:0.881764+0.046353
## [126] train-mlogloss:0.042010+0.000591 test-mlogloss:0.882629+0.048254
## [127] train-mlogloss:0.041336+0.000627 test-mlogloss:0.884281+0.048389
## [128] train-mlogloss:0.040650+0.000610 test-mlogloss:0.885588+0.047752
## [129] train-mlogloss:0.039964+0.000586 test-mlogloss:0.887124+0.048504
## [130] train-mlogloss:0.039265+0.000490 test-mlogloss:0.889713+0.048715
## [131] train-mlogloss:0.038700+0.000392 test-mlogloss:0.892535+0.048020
## [132] train-mlogloss:0.038158+0.000458 test-mlogloss:0.893669+0.049208
## [133] train-mlogloss:0.037534+0.000444 test-mlogloss:0.894541+0.050737
## [134] train-mlogloss:0.036932+0.000450 test-mlogloss:0.897133+0.052181
## [135] train-mlogloss:0.036377+0.000449 test-mlogloss:0.898697+0.051075
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## [137] train-mlogloss:0.035308+0.000577 test-mlogloss:0.903891+0.054144
## [138] train-mlogloss:0.034740+0.000600 test-mlogloss:0.905308+0.054661
## [139] train-mlogloss:0.034253+0.000609 test-mlogloss:0.907243+0.055096
## [140] train-mlogloss:0.033701+0.000613 test-mlogloss:0.908348+0.055391
## [141] train-mlogloss:0.033219+0.000635 test-mlogloss:0.911312+0.054417
## [142] train-mlogloss:0.032705+0.000526 test-mlogloss:0.911139+0.054628
## [143] train-mlogloss:0.032254+0.000604 test-mlogloss:0.911974+0.055349
## [144] train-mlogloss:0.031721+0.000662 test-mlogloss:0.915514+0.055742
## [145] train-mlogloss:0.031281+0.000671 test-mlogloss:0.917219+0.055952
## [146] train-mlogloss:0.030849+0.000660 test-mlogloss:0.919707+0.055520
## [147] train-mlogloss:0.030373+0.000621 test-mlogloss:0.922302+0.054570
## [148] train-mlogloss:0.029972+0.000573 test-mlogloss:0.923816+0.055153
## [149] train-mlogloss:0.029503+0.000524 test-mlogloss:0.925242+0.055219
## [150] train-mlogloss:0.029178+0.000515 test-mlogloss:0.927839+0.055244
## [151] train-mlogloss:0.028797+0.000524 test-mlogloss:0.928505+0.055701
## [152] train-mlogloss:0.028478+0.000548 test-mlogloss:0.928950+0.055099
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## [155] train-mlogloss:0.027289+0.000595 test-mlogloss:0.933906+0.057780
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## [157] train-mlogloss:0.026525+0.000631 test-mlogloss:0.937053+0.058246
## [158] train-mlogloss:0.026153+0.000651 test-mlogloss:0.938674+0.057318
## [159] train-mlogloss:0.025819+0.000619 test-mlogloss:0.940325+0.057294
## [160] train-mlogloss:0.025421+0.000593 test-mlogloss:0.942198+0.059296
## [161] train-mlogloss:0.025111+0.000626 test-mlogloss:0.943669+0.058700
## [162] train-mlogloss:0.024742+0.000637 test-mlogloss:0.947391+0.059591
## [163] train-mlogloss:0.024425+0.000578 test-mlogloss:0.949128+0.059548
## [164] train-mlogloss:0.024085+0.000627 test-mlogloss:0.950201+0.059086
## [165] train-mlogloss:0.023769+0.000608 test-mlogloss:0.951242+0.060506
## [166] train-mlogloss:0.023410+0.000616 test-mlogloss:0.951630+0.059070
## [167] train-mlogloss:0.023122+0.000661 test-mlogloss:0.953838+0.059869
## [168] train-mlogloss:0.022786+0.000672 test-mlogloss:0.957026+0.060304
## [169] train-mlogloss:0.022495+0.000673 test-mlogloss:0.957028+0.060171
## [170] train-mlogloss:0.022245+0.000675 test-mlogloss:0.958694+0.060546
## [171] train-mlogloss:0.021977+0.000684 test-mlogloss:0.961134+0.060041
## [172] train-mlogloss:0.021642+0.000687 test-mlogloss:0.963009+0.057854
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## [174] train-mlogloss:0.021099+0.000639 test-mlogloss:0.966842+0.057990
## [175] train-mlogloss:0.020854+0.000635 test-mlogloss:0.969057+0.057448
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## [177] train-mlogloss:0.020288+0.000621 test-mlogloss:0.973462+0.057341
## [178] train-mlogloss:0.020041+0.000577 test-mlogloss:0.976007+0.058196
## [179] train-mlogloss:0.019801+0.000535 test-mlogloss:0.976852+0.057298
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## [181] train-mlogloss:0.019312+0.000496 test-mlogloss:0.980821+0.056135
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## [183] train-mlogloss:0.018850+0.000434 test-mlogloss:0.983616+0.055165
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## [185] train-mlogloss:0.018422+0.000465 test-mlogloss:0.986761+0.055981
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## [187] train-mlogloss:0.017979+0.000496 test-mlogloss:0.989659+0.056471
## [188] train-mlogloss:0.017811+0.000506 test-mlogloss:0.991025+0.058015
## [189] train-mlogloss:0.017582+0.000531 test-mlogloss:0.993657+0.056169
## [190] train-mlogloss:0.017374+0.000515 test-mlogloss:0.995109+0.056629
## [191] train-mlogloss:0.017145+0.000475 test-mlogloss:0.996670+0.056378
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## [193] train-mlogloss:0.016742+0.000478 test-mlogloss:0.999677+0.059094
## [194] train-mlogloss:0.016557+0.000474 test-mlogloss:1.001437+0.059647
## [195] train-mlogloss:0.016358+0.000474 test-mlogloss:1.003751+0.059901
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## [198] train-mlogloss:0.015835+0.000449 test-mlogloss:1.007616+0.061926
## [199] train-mlogloss:0.015653+0.000435 test-mlogloss:1.009338+0.062382
## [200] train-mlogloss:0.015464+0.000443 test-mlogloss:1.010490+0.063094
## [201] train-mlogloss:0.015304+0.000445 test-mlogloss:1.012495+0.063190
## [202] train-mlogloss:0.015144+0.000396 test-mlogloss:1.013659+0.062861
## [203] train-mlogloss:0.014990+0.000391 test-mlogloss:1.014944+0.063380
## [204] train-mlogloss:0.014845+0.000393 test-mlogloss:1.015977+0.062041
## [205] train-mlogloss:0.014698+0.000394 test-mlogloss:1.018440+0.063316
## [206] train-mlogloss:0.014511+0.000401 test-mlogloss:1.019577+0.062280
## [207] train-mlogloss:0.014343+0.000394 test-mlogloss:1.022475+0.061974
## [208] train-mlogloss:0.014177+0.000396 test-mlogloss:1.022890+0.062653
## [209] train-mlogloss:0.014043+0.000406 test-mlogloss:1.023951+0.064921
## [210] train-mlogloss:0.013884+0.000403 test-mlogloss:1.026275+0.063704
## [211] train-mlogloss:0.013752+0.000420 test-mlogloss:1.028632+0.063601
## [212] train-mlogloss:0.013628+0.000434 test-mlogloss:1.029574+0.063515
## [213] train-mlogloss:0.013493+0.000436 test-mlogloss:1.031677+0.062822
## [214] train-mlogloss:0.013341+0.000451 test-mlogloss:1.032762+0.063674
## [215] train-mlogloss:0.013219+0.000431 test-mlogloss:1.034318+0.062740
## [216] train-mlogloss:0.013093+0.000428 test-mlogloss:1.035829+0.063060
## [217] train-mlogloss:0.012949+0.000423 test-mlogloss:1.037383+0.064106
## [218] train-mlogloss:0.012831+0.000439 test-mlogloss:1.038985+0.065156
## [219] train-mlogloss:0.012727+0.000430 test-mlogloss:1.040874+0.064713
## [220] train-mlogloss:0.012624+0.000422 test-mlogloss:1.042466+0.064908
## [221] train-mlogloss:0.012499+0.000408 test-mlogloss:1.043682+0.065092
## [222] train-mlogloss:0.012364+0.000389 test-mlogloss:1.043885+0.065372
## [223] train-mlogloss:0.012265+0.000388 test-mlogloss:1.046036+0.066118
## [224] train-mlogloss:0.012149+0.000395 test-mlogloss:1.047683+0.065341
## [225] train-mlogloss:0.012018+0.000386 test-mlogloss:1.048172+0.065774
## [226] train-mlogloss:0.011895+0.000370 test-mlogloss:1.050344+0.065417
## [227] train-mlogloss:0.011780+0.000354 test-mlogloss:1.051694+0.065927
## [228] train-mlogloss:0.011650+0.000347 test-mlogloss:1.053615+0.065660
## [229] train-mlogloss:0.011519+0.000353 test-mlogloss:1.054179+0.065246
## [230] train-mlogloss:0.011413+0.000343 test-mlogloss:1.055503+0.065940
## [231] train-mlogloss:0.011296+0.000348 test-mlogloss:1.056618+0.065148
## [232] train-mlogloss:0.011207+0.000349 test-mlogloss:1.057651+0.065514
## [233] train-mlogloss:0.011101+0.000334 test-mlogloss:1.059578+0.066811
## [234] train-mlogloss:0.010991+0.000327 test-mlogloss:1.060454+0.066617
## [235] train-mlogloss:0.010904+0.000328 test-mlogloss:1.061905+0.066194
## [236] train-mlogloss:0.010822+0.000348 test-mlogloss:1.062860+0.065939
## [237] train-mlogloss:0.010719+0.000327 test-mlogloss:1.065205+0.066174
## [238] train-mlogloss:0.010612+0.000318 test-mlogloss:1.066831+0.064926
## [239] train-mlogloss:0.010529+0.000328 test-mlogloss:1.068291+0.065269
## [240] train-mlogloss:0.010442+0.000317 test-mlogloss:1.068930+0.063902
## [241] train-mlogloss:0.010365+0.000307 test-mlogloss:1.070221+0.064081
## [242] train-mlogloss:0.010270+0.000291 test-mlogloss:1.071460+0.063832
## [243] train-mlogloss:0.010171+0.000281 test-mlogloss:1.072623+0.063264
## [244] train-mlogloss:0.010088+0.000272 test-mlogloss:1.073508+0.063166
## [245] train-mlogloss:0.009991+0.000265 test-mlogloss:1.075030+0.064094
## [246] train-mlogloss:0.009901+0.000275 test-mlogloss:1.076705+0.064536
## [247] train-mlogloss:0.009804+0.000271 test-mlogloss:1.078932+0.064212
## [248] train-mlogloss:0.009726+0.000286 test-mlogloss:1.080112+0.064546
## [249] train-mlogloss:0.009653+0.000290 test-mlogloss:1.082480+0.063895
## [250] train-mlogloss:0.009568+0.000295 test-mlogloss:1.084237+0.064586
## [251] train-mlogloss:0.009484+0.000280 test-mlogloss:1.085042+0.065364
## [252] train-mlogloss:0.009416+0.000280 test-mlogloss:1.086574+0.066380
## [253] train-mlogloss:0.009338+0.000277 test-mlogloss:1.088815+0.066411
## [254] train-mlogloss:0.009265+0.000276 test-mlogloss:1.088938+0.065467
## [255] train-mlogloss:0.009180+0.000275 test-mlogloss:1.089395+0.066106
## [256] train-mlogloss:0.009097+0.000281 test-mlogloss:1.091009+0.066415
## [257] train-mlogloss:0.009030+0.000285 test-mlogloss:1.091995+0.066515
## [258] train-mlogloss:0.008968+0.000278 test-mlogloss:1.092611+0.066664
## [259] train-mlogloss:0.008913+0.000285 test-mlogloss:1.093735+0.066925
## [260] train-mlogloss:0.008840+0.000283 test-mlogloss:1.094606+0.067414
## [261] train-mlogloss:0.008769+0.000288 test-mlogloss:1.095292+0.067780
## [262] train-mlogloss:0.008705+0.000290 test-mlogloss:1.096408+0.068134
## [263] train-mlogloss:0.008632+0.000273 test-mlogloss:1.097143+0.067751
## [264] train-mlogloss:0.008565+0.000269 test-mlogloss:1.099447+0.067980
## [265] train-mlogloss:0.008501+0.000263 test-mlogloss:1.099648+0.067598
## [266] train-mlogloss:0.008435+0.000261 test-mlogloss:1.101552+0.067479
## [267] train-mlogloss:0.008371+0.000253 test-mlogloss:1.101967+0.067460
## [268] train-mlogloss:0.008312+0.000259 test-mlogloss:1.102801+0.067389
## [269] train-mlogloss:0.008245+0.000252 test-mlogloss:1.103347+0.066395
## [270] train-mlogloss:0.008190+0.000254 test-mlogloss:1.104360+0.067366
## [271] train-mlogloss:0.008126+0.000244 test-mlogloss:1.105621+0.066769
## [272] train-mlogloss:0.008072+0.000239 test-mlogloss:1.106680+0.066528
## [273] train-mlogloss:0.008016+0.000237 test-mlogloss:1.106629+0.066342
## [274] train-mlogloss:0.007959+0.000250 test-mlogloss:1.107497+0.067198
## [275] train-mlogloss:0.007894+0.000256 test-mlogloss:1.109565+0.067930
## [276] train-mlogloss:0.007832+0.000261 test-mlogloss:1.111425+0.067439
## [277] train-mlogloss:0.007782+0.000263 test-mlogloss:1.112649+0.068011
## [278] train-mlogloss:0.007732+0.000274 test-mlogloss:1.113089+0.067761
## [279] train-mlogloss:0.007665+0.000278 test-mlogloss:1.115026+0.068706
## [280] train-mlogloss:0.007616+0.000277 test-mlogloss:1.115823+0.068785
## [281] train-mlogloss:0.007560+0.000271 test-mlogloss:1.117101+0.070032
## [282] train-mlogloss:0.007507+0.000274 test-mlogloss:1.117795+0.070455
## [283] train-mlogloss:0.007453+0.000282 test-mlogloss:1.118945+0.069705
## [284] train-mlogloss:0.007400+0.000268 test-mlogloss:1.120252+0.069748
## [285] train-mlogloss:0.007351+0.000270 test-mlogloss:1.121443+0.069826
## [286] train-mlogloss:0.007304+0.000263 test-mlogloss:1.122451+0.069325
## [287] train-mlogloss:0.007253+0.000255 test-mlogloss:1.124514+0.070218
## [288] train-mlogloss:0.007208+0.000257 test-mlogloss:1.125071+0.070428
## [289] train-mlogloss:0.007162+0.000243 test-mlogloss:1.125165+0.070008
## [290] train-mlogloss:0.007108+0.000233 test-mlogloss:1.126837+0.071362
## [291] train-mlogloss:0.007069+0.000226 test-mlogloss:1.127665+0.071050
## [292] train-mlogloss:0.007013+0.000220 test-mlogloss:1.129748+0.069818
## [293] train-mlogloss:0.006959+0.000213 test-mlogloss:1.130573+0.070249
## [294] train-mlogloss:0.006909+0.000208 test-mlogloss:1.132670+0.070464
## [295] train-mlogloss:0.006853+0.000205 test-mlogloss:1.134105+0.070525
## [296] train-mlogloss:0.006804+0.000212 test-mlogloss:1.135039+0.071046
## [297] train-mlogloss:0.006763+0.000211 test-mlogloss:1.136789+0.071694
## [298] train-mlogloss:0.006724+0.000211 test-mlogloss:1.137348+0.071743
## [299] train-mlogloss:0.006683+0.000209 test-mlogloss:1.138183+0.070941
## [300] train-mlogloss:0.006638+0.000208 test-mlogloss:1.139727+0.070075
## [301] train-mlogloss:0.006606+0.000200 test-mlogloss:1.140122+0.070382
## [302] train-mlogloss:0.006565+0.000196 test-mlogloss:1.140617+0.071441
## [303] train-mlogloss:0.006522+0.000190 test-mlogloss:1.141539+0.071311
## [304] train-mlogloss:0.006475+0.000191 test-mlogloss:1.142732+0.070693
## [305] train-mlogloss:0.006438+0.000193 test-mlogloss:1.143967+0.071172
## [306] train-mlogloss:0.006398+0.000187 test-mlogloss:1.145015+0.071895
## [307] train-mlogloss:0.006362+0.000183 test-mlogloss:1.146173+0.070985
## [308] train-mlogloss:0.006318+0.000182 test-mlogloss:1.148556+0.071625
## [309] train-mlogloss:0.006278+0.000181 test-mlogloss:1.149457+0.071666
## [310] train-mlogloss:0.006233+0.000180 test-mlogloss:1.149765+0.071631
## [311] train-mlogloss:0.006190+0.000184 test-mlogloss:1.150805+0.072531
## [312] train-mlogloss:0.006156+0.000186 test-mlogloss:1.151293+0.072785
## [313] train-mlogloss:0.006120+0.000185 test-mlogloss:1.152103+0.072695
## [314] train-mlogloss:0.006081+0.000178 test-mlogloss:1.152867+0.071879
## [315] train-mlogloss:0.006045+0.000176 test-mlogloss:1.153887+0.072319
## [316] train-mlogloss:0.006007+0.000163 test-mlogloss:1.155013+0.071798
## [317] train-mlogloss:0.005976+0.000155 test-mlogloss:1.156096+0.072033
## [318] train-mlogloss:0.005938+0.000150 test-mlogloss:1.157974+0.071311
## [319] train-mlogloss:0.005900+0.000150 test-mlogloss:1.159695+0.071239
## [320] train-mlogloss:0.005863+0.000150 test-mlogloss:1.159866+0.072419
## [321] train-mlogloss:0.005824+0.000154 test-mlogloss:1.160025+0.071856
## [322] train-mlogloss:0.005791+0.000162 test-mlogloss:1.161083+0.072654
## [323] train-mlogloss:0.005755+0.000164 test-mlogloss:1.161617+0.071302
## [324] train-mlogloss:0.005727+0.000167 test-mlogloss:1.162322+0.071622
## [325] train-mlogloss:0.005691+0.000161 test-mlogloss:1.164626+0.071788
## [326] train-mlogloss:0.005660+0.000158 test-mlogloss:1.165500+0.071824
## [327] train-mlogloss:0.005633+0.000162 test-mlogloss:1.166384+0.071744
## [328] train-mlogloss:0.005603+0.000163 test-mlogloss:1.166836+0.071011
## [329] train-mlogloss:0.005571+0.000157 test-mlogloss:1.167724+0.071926
## [330] train-mlogloss:0.005540+0.000153 test-mlogloss:1.169114+0.071307
## [331] train-mlogloss:0.005515+0.000149 test-mlogloss:1.168475+0.071118
## [332] train-mlogloss:0.005478+0.000145 test-mlogloss:1.170590+0.071385
## [333] train-mlogloss:0.005443+0.000140 test-mlogloss:1.170299+0.071834
## [334] train-mlogloss:0.005411+0.000134 test-mlogloss:1.171003+0.072587
## [335] train-mlogloss:0.005385+0.000137 test-mlogloss:1.172575+0.072733
## [336] train-mlogloss:0.005354+0.000134 test-mlogloss:1.172818+0.072355
## [337] train-mlogloss:0.005330+0.000134 test-mlogloss:1.173078+0.072426
## [338] train-mlogloss:0.005301+0.000128 test-mlogloss:1.173747+0.071864
## [339] train-mlogloss:0.005269+0.000129 test-mlogloss:1.175088+0.072351
## [340] train-mlogloss:0.005245+0.000128 test-mlogloss:1.175928+0.072607
## [341] train-mlogloss:0.005215+0.000123 test-mlogloss:1.177115+0.072515
## [342] train-mlogloss:0.005182+0.000118 test-mlogloss:1.177739+0.072528
## [343] train-mlogloss:0.005157+0.000122 test-mlogloss:1.178033+0.071720
## [344] train-mlogloss:0.005126+0.000120 test-mlogloss:1.178567+0.071549
## [345] train-mlogloss:0.005098+0.000114 test-mlogloss:1.179185+0.072017
## [346] train-mlogloss:0.005075+0.000111 test-mlogloss:1.179621+0.072921
## [347] train-mlogloss:0.005052+0.000106 test-mlogloss:1.180565+0.072494
## [348] train-mlogloss:0.005028+0.000104 test-mlogloss:1.181001+0.072738
## [349] train-mlogloss:0.005000+0.000097 test-mlogloss:1.181621+0.073431
## [350] train-mlogloss:0.004973+0.000096 test-mlogloss:1.182152+0.071778
## [351] train-mlogloss:0.004944+0.000095 test-mlogloss:1.182856+0.072075
## [352] train-mlogloss:0.004917+0.000089 test-mlogloss:1.184223+0.072388
## [353] train-mlogloss:0.004892+0.000092 test-mlogloss:1.184782+0.071745
## [354] train-mlogloss:0.004867+0.000091 test-mlogloss:1.185505+0.071811
## [355] train-mlogloss:0.004840+0.000084 test-mlogloss:1.185702+0.071504
## [356] train-mlogloss:0.004819+0.000088 test-mlogloss:1.187368+0.072416
## [357] train-mlogloss:0.004796+0.000090 test-mlogloss:1.187079+0.072125
## [358] train-mlogloss:0.004777+0.000088 test-mlogloss:1.186993+0.072068
## [359] train-mlogloss:0.004753+0.000088 test-mlogloss:1.187899+0.070967
## [360] train-mlogloss:0.004729+0.000090 test-mlogloss:1.189045+0.072371
## [361] train-mlogloss:0.004707+0.000091 test-mlogloss:1.189254+0.072276
## [362] train-mlogloss:0.004686+0.000087 test-mlogloss:1.190093+0.072248
## [363] train-mlogloss:0.004665+0.000086 test-mlogloss:1.190778+0.072134
## [364] train-mlogloss:0.004642+0.000089 test-mlogloss:1.191495+0.072971
## [365] train-mlogloss:0.004622+0.000088 test-mlogloss:1.192398+0.072014
## [366] train-mlogloss:0.004603+0.000086 test-mlogloss:1.194395+0.071522
## [367] train-mlogloss:0.004579+0.000086 test-mlogloss:1.195216+0.072380
## [368] train-mlogloss:0.004561+0.000087 test-mlogloss:1.196570+0.073460
## [369] train-mlogloss:0.004543+0.000087 test-mlogloss:1.196503+0.072755
## [370] train-mlogloss:0.004518+0.000085 test-mlogloss:1.197191+0.073002
## [371] train-mlogloss:0.004496+0.000082 test-mlogloss:1.198102+0.072515
## [372] train-mlogloss:0.004475+0.000083 test-mlogloss:1.199068+0.072834
## [373] train-mlogloss:0.004452+0.000082 test-mlogloss:1.200118+0.073337
## [374] train-mlogloss:0.004428+0.000082 test-mlogloss:1.199462+0.073008
## [375] train-mlogloss:0.004410+0.000081 test-mlogloss:1.200568+0.073066
## [376] train-mlogloss:0.004389+0.000084 test-mlogloss:1.200274+0.073115
## [377] train-mlogloss:0.004370+0.000087 test-mlogloss:1.201123+0.072899
## [378] train-mlogloss:0.004350+0.000085 test-mlogloss:1.201814+0.073638
## [379] train-mlogloss:0.004330+0.000087 test-mlogloss:1.202719+0.073143
## [380] train-mlogloss:0.004308+0.000089 test-mlogloss:1.204283+0.074125
## [381] train-mlogloss:0.004290+0.000088 test-mlogloss:1.203887+0.074468
## [382] train-mlogloss:0.004271+0.000088 test-mlogloss:1.205021+0.073057
## [383] train-mlogloss:0.004252+0.000088 test-mlogloss:1.205192+0.073252
## [384] train-mlogloss:0.004236+0.000089 test-mlogloss:1.206443+0.073489
## [385] train-mlogloss:0.004219+0.000091 test-mlogloss:1.206458+0.073640
## [386] train-mlogloss:0.004198+0.000090 test-mlogloss:1.208162+0.074440
## [387] train-mlogloss:0.004181+0.000088 test-mlogloss:1.208900+0.072561
## [388] train-mlogloss:0.004165+0.000088 test-mlogloss:1.209286+0.073149
## [389] train-mlogloss:0.004147+0.000085 test-mlogloss:1.209737+0.073053
## [390] train-mlogloss:0.004127+0.000082 test-mlogloss:1.210250+0.073879
## [391] train-mlogloss:0.004109+0.000083 test-mlogloss:1.211449+0.074241
## [392] train-mlogloss:0.004092+0.000079 test-mlogloss:1.212425+0.074274
## [393] train-mlogloss:0.004075+0.000079 test-mlogloss:1.213019+0.074743
## [394] train-mlogloss:0.004059+0.000079 test-mlogloss:1.214007+0.074456
## [395] train-mlogloss:0.004038+0.000080 test-mlogloss:1.215374+0.074728
## [396] train-mlogloss:0.004021+0.000078 test-mlogloss:1.216718+0.073997
## [397] train-mlogloss:0.004001+0.000076 test-mlogloss:1.217615+0.073898
## [398] train-mlogloss:0.003983+0.000074 test-mlogloss:1.217473+0.073706
## [399] train-mlogloss:0.003966+0.000077 test-mlogloss:1.217789+0.073802
## [400] train-mlogloss:0.003945+0.000078 test-mlogloss:1.218323+0.073727
## [401] train-mlogloss:0.003930+0.000074 test-mlogloss:1.219403+0.073843
## [402] train-mlogloss:0.003916+0.000073 test-mlogloss:1.219934+0.074262
## [403] train-mlogloss:0.003903+0.000077 test-mlogloss:1.220758+0.074271
## [404] train-mlogloss:0.003889+0.000075 test-mlogloss:1.221266+0.074214
## [405] train-mlogloss:0.003872+0.000078 test-mlogloss:1.221999+0.074950
## [406] train-mlogloss:0.003854+0.000076 test-mlogloss:1.222320+0.075369
## [407] train-mlogloss:0.003839+0.000075 test-mlogloss:1.222933+0.074716
## [408] train-mlogloss:0.003822+0.000074 test-mlogloss:1.224201+0.075202
## [409] train-mlogloss:0.003807+0.000073 test-mlogloss:1.224973+0.075041
## [410] train-mlogloss:0.003795+0.000073 test-mlogloss:1.224890+0.074888
## [411] train-mlogloss:0.003779+0.000073 test-mlogloss:1.225921+0.075741
## [412] train-mlogloss:0.003764+0.000071 test-mlogloss:1.226588+0.075603
## [413] train-mlogloss:0.003750+0.000072 test-mlogloss:1.227279+0.075659
## [414] train-mlogloss:0.003736+0.000071 test-mlogloss:1.227293+0.075588
## [415] train-mlogloss:0.003723+0.000073 test-mlogloss:1.227908+0.075641
## [416] train-mlogloss:0.003711+0.000072 test-mlogloss:1.228502+0.076081
## [417] train-mlogloss:0.003699+0.000071 test-mlogloss:1.229021+0.076106
## [418] train-mlogloss:0.003684+0.000070 test-mlogloss:1.229529+0.075879
## [419] train-mlogloss:0.003666+0.000070 test-mlogloss:1.230935+0.075536
## [420] train-mlogloss:0.003654+0.000071 test-mlogloss:1.231598+0.075639
## [421] train-mlogloss:0.003638+0.000072 test-mlogloss:1.231523+0.075215
## [422] train-mlogloss:0.003623+0.000074 test-mlogloss:1.233619+0.075764
## [423] train-mlogloss:0.003610+0.000074 test-mlogloss:1.233755+0.076099
## [424] train-mlogloss:0.003596+0.000075 test-mlogloss:1.234967+0.075721
## [425] train-mlogloss:0.003582+0.000076 test-mlogloss:1.235523+0.075798
## [426] train-mlogloss:0.003569+0.000073 test-mlogloss:1.235976+0.076595
## [427] train-mlogloss:0.003558+0.000071 test-mlogloss:1.236077+0.076000
## [428] train-mlogloss:0.003543+0.000070 test-mlogloss:1.237028+0.076140
## [429] train-mlogloss:0.003529+0.000073 test-mlogloss:1.237147+0.076510
## [430] train-mlogloss:0.003516+0.000071 test-mlogloss:1.238237+0.076500
## [431] train-mlogloss:0.003503+0.000070 test-mlogloss:1.239038+0.077129
## [432] train-mlogloss:0.003490+0.000069 test-mlogloss:1.240099+0.075836
## [433] train-mlogloss:0.003477+0.000064 test-mlogloss:1.241015+0.075976
## [434] train-mlogloss:0.003464+0.000063 test-mlogloss:1.240974+0.076051
## [435] train-mlogloss:0.003454+0.000064 test-mlogloss:1.242143+0.075816
## [436] train-mlogloss:0.003444+0.000064 test-mlogloss:1.242036+0.075628
## [437] train-mlogloss:0.003432+0.000065 test-mlogloss:1.242974+0.074959
## [438] train-mlogloss:0.003419+0.000063 test-mlogloss:1.243302+0.075289
## [439] train-mlogloss:0.003405+0.000064 test-mlogloss:1.244409+0.075300
## [440] train-mlogloss:0.003391+0.000061 test-mlogloss:1.245070+0.075761
## [441] train-mlogloss:0.003381+0.000061 test-mlogloss:1.245616+0.075568
## [442] train-mlogloss:0.003366+0.000061 test-mlogloss:1.246008+0.075482
## [443] train-mlogloss:0.003351+0.000061 test-mlogloss:1.246753+0.074944
## [444] train-mlogloss:0.003338+0.000061 test-mlogloss:1.247646+0.075527
## [445] train-mlogloss:0.003326+0.000060 test-mlogloss:1.247797+0.074873
## [446] train-mlogloss:0.003316+0.000062 test-mlogloss:1.249316+0.075400
## [447] train-mlogloss:0.003305+0.000062 test-mlogloss:1.249498+0.074559
## [448] train-mlogloss:0.003295+0.000064 test-mlogloss:1.250262+0.075260
## [449] train-mlogloss:0.003284+0.000062 test-mlogloss:1.250837+0.075054
## [450] train-mlogloss:0.003275+0.000062 test-mlogloss:1.251464+0.074266
## [451] train-mlogloss:0.003266+0.000062 test-mlogloss:1.251418+0.074790
## [452] train-mlogloss:0.003257+0.000063 test-mlogloss:1.252493+0.074877
## [453] train-mlogloss:0.003248+0.000063 test-mlogloss:1.252720+0.075307
## [454] train-mlogloss:0.003237+0.000063 test-mlogloss:1.253611+0.074958
## [455] train-mlogloss:0.003226+0.000063 test-mlogloss:1.253926+0.074912
## [456] train-mlogloss:0.003214+0.000064 test-mlogloss:1.254310+0.074519
## [457] train-mlogloss:0.003206+0.000065 test-mlogloss:1.254579+0.074627
## [458] train-mlogloss:0.003194+0.000064 test-mlogloss:1.255049+0.074569
## [459] train-mlogloss:0.003183+0.000061 test-mlogloss:1.254919+0.074934
## [460] train-mlogloss:0.003172+0.000061 test-mlogloss:1.256017+0.075145
## [461] train-mlogloss:0.003162+0.000062 test-mlogloss:1.255913+0.075004
## [462] train-mlogloss:0.003149+0.000062 test-mlogloss:1.256291+0.075126
## [463] train-mlogloss:0.003140+0.000060 test-mlogloss:1.256946+0.075201
## [464] train-mlogloss:0.003130+0.000059 test-mlogloss:1.257532+0.075887
## [465] train-mlogloss:0.003120+0.000059 test-mlogloss:1.258053+0.074454
## [466] train-mlogloss:0.003110+0.000059 test-mlogloss:1.258492+0.075483
## [467] train-mlogloss:0.003098+0.000058 test-mlogloss:1.258623+0.075333
## [468] train-mlogloss:0.003088+0.000059 test-mlogloss:1.259459+0.075651
## [469] train-mlogloss:0.003077+0.000058 test-mlogloss:1.259612+0.075373
## [470] train-mlogloss:0.003068+0.000056 test-mlogloss:1.260207+0.076403
## [471] train-mlogloss:0.003057+0.000056 test-mlogloss:1.260879+0.076216
## [472] train-mlogloss:0.003046+0.000057 test-mlogloss:1.261451+0.076975
## [473] train-mlogloss:0.003035+0.000055 test-mlogloss:1.262513+0.076569
## [474] train-mlogloss:0.003026+0.000054 test-mlogloss:1.262465+0.076377
## [475] train-mlogloss:0.003016+0.000055 test-mlogloss:1.262824+0.076972
## [476] train-mlogloss:0.003007+0.000055 test-mlogloss:1.263587+0.077367
## [477] train-mlogloss:0.002998+0.000054 test-mlogloss:1.264300+0.077451
## [478] train-mlogloss:0.002988+0.000054 test-mlogloss:1.265119+0.077735
## [479] train-mlogloss:0.002980+0.000054 test-mlogloss:1.265747+0.078559
## [480] train-mlogloss:0.002971+0.000054 test-mlogloss:1.266097+0.078112
## [481] train-mlogloss:0.002962+0.000053 test-mlogloss:1.266798+0.078739
## [482] train-mlogloss:0.002952+0.000052 test-mlogloss:1.266449+0.078862
## [483] train-mlogloss:0.002942+0.000051 test-mlogloss:1.266917+0.079156
## [484] train-mlogloss:0.002934+0.000051 test-mlogloss:1.267928+0.078748
## [485] train-mlogloss:0.002925+0.000049 test-mlogloss:1.267783+0.079106
## [486] train-mlogloss:0.002916+0.000049 test-mlogloss:1.268398+0.078471
## [487] train-mlogloss:0.002908+0.000049 test-mlogloss:1.270069+0.077640
## [488] train-mlogloss:0.002900+0.000049 test-mlogloss:1.270278+0.078216
## [489] train-mlogloss:0.002892+0.000048 test-mlogloss:1.270398+0.077375
## [490] train-mlogloss:0.002884+0.000047 test-mlogloss:1.271255+0.077600
## [491] train-mlogloss:0.002876+0.000046 test-mlogloss:1.271363+0.077810
## [492] train-mlogloss:0.002868+0.000044 test-mlogloss:1.271739+0.078231
## [493] train-mlogloss:0.002860+0.000044 test-mlogloss:1.271198+0.077868
## [494] train-mlogloss:0.002850+0.000042 test-mlogloss:1.271921+0.077436
## [495] train-mlogloss:0.002842+0.000040 test-mlogloss:1.272545+0.077313
## [496] train-mlogloss:0.002834+0.000041 test-mlogloss:1.272853+0.077706
## [497] train-mlogloss:0.002825+0.000042 test-mlogloss:1.273300+0.077287
## [498] train-mlogloss:0.002818+0.000043 test-mlogloss:1.274411+0.077086
## [499] train-mlogloss:0.002811+0.000043 test-mlogloss:1.274445+0.076907
## [500] train-mlogloss:0.002802+0.000042 test-mlogloss:1.274896+0.077438
## [1] train-mlogloss:0.315271+0.002627 test-mlogloss:0.614760+0.012479
## [2] train-mlogloss:0.189882+0.001892 test-mlogloss:0.639675+0.012454
## [3] train-mlogloss:0.130869+0.005114 test-mlogloss:0.667083+0.013562
## [4] train-mlogloss:0.103057+0.002725 test-mlogloss:0.687219+0.015935
## [5] train-mlogloss:0.081833+0.003376 test-mlogloss:0.707189+0.018763
## [6] train-mlogloss:0.066476+0.002891 test-mlogloss:0.726323+0.019721
## [7] train-mlogloss:0.054881+0.002668 test-mlogloss:0.739952+0.024696
## [8] train-mlogloss:0.045810+0.001997 test-mlogloss:0.753978+0.025454
## [9] train-mlogloss:0.039468+0.001250 test-mlogloss:0.767155+0.028914
## [10] train-mlogloss:0.034249+0.001022 test-mlogloss:0.782683+0.028100
## [11] train-mlogloss:0.030632+0.000917 test-mlogloss:0.793533+0.029350
## [12] train-mlogloss:0.027519+0.000872 test-mlogloss:0.804908+0.030391
## [13] train-mlogloss:0.024924+0.000705 test-mlogloss:0.813914+0.030399
## [14] train-mlogloss:0.022806+0.000623 test-mlogloss:0.823310+0.030518
## [15] train-mlogloss:0.021003+0.000500 test-mlogloss:0.830698+0.031184
## [16] train-mlogloss:0.019515+0.000412 test-mlogloss:0.835808+0.031150
## [17] train-mlogloss:0.018211+0.000370 test-mlogloss:0.842734+0.031748
## [18] train-mlogloss:0.017054+0.000330 test-mlogloss:0.848506+0.032069
## [19] train-mlogloss:0.016044+0.000301 test-mlogloss:0.853845+0.033385
## [20] train-mlogloss:0.015162+0.000277 test-mlogloss:0.858979+0.033420
## [21] train-mlogloss:0.014382+0.000253 test-mlogloss:0.865347+0.034433
## [22] train-mlogloss:0.013680+0.000253 test-mlogloss:0.869356+0.035947
## [23] train-mlogloss:0.013062+0.000255 test-mlogloss:0.875878+0.034322
## [24] train-mlogloss:0.012503+0.000233 test-mlogloss:0.880378+0.036627
## [25] train-mlogloss:0.012008+0.000215 test-mlogloss:0.886117+0.036655
## [26] train-mlogloss:0.011549+0.000196 test-mlogloss:0.890576+0.037397
## [27] train-mlogloss:0.011108+0.000185 test-mlogloss:0.893676+0.036904
## [28] train-mlogloss:0.010705+0.000181 test-mlogloss:0.898365+0.037266
## [29] train-mlogloss:0.010344+0.000165 test-mlogloss:0.902407+0.037228
## [30] train-mlogloss:0.010010+0.000157 test-mlogloss:0.906392+0.038186
## [31] train-mlogloss:0.009707+0.000147 test-mlogloss:0.908884+0.038736
## [32] train-mlogloss:0.009414+0.000131 test-mlogloss:0.913332+0.038839
## [33] train-mlogloss:0.009133+0.000129 test-mlogloss:0.915986+0.038066
## [34] train-mlogloss:0.008878+0.000127 test-mlogloss:0.920363+0.038455
## [35] train-mlogloss:0.008647+0.000125 test-mlogloss:0.924287+0.037319
## [36] train-mlogloss:0.008428+0.000120 test-mlogloss:0.927786+0.036972
## [37] train-mlogloss:0.008216+0.000113 test-mlogloss:0.930140+0.037189
## [38] train-mlogloss:0.008020+0.000111 test-mlogloss:0.933884+0.036631
## [39] train-mlogloss:0.007832+0.000110 test-mlogloss:0.938024+0.037226
## [40] train-mlogloss:0.007652+0.000105 test-mlogloss:0.939705+0.038259
## [41] train-mlogloss:0.007483+0.000096 test-mlogloss:0.942953+0.039664
## [42] train-mlogloss:0.007320+0.000093 test-mlogloss:0.946676+0.040368
## [43] train-mlogloss:0.007162+0.000092 test-mlogloss:0.949742+0.039308
## [44] train-mlogloss:0.007015+0.000088 test-mlogloss:0.951438+0.038420
## [45] train-mlogloss:0.006883+0.000086 test-mlogloss:0.954072+0.039052
## [46] train-mlogloss:0.006747+0.000083 test-mlogloss:0.955582+0.040291
## [47] train-mlogloss:0.006623+0.000076 test-mlogloss:0.959102+0.040298
## [48] train-mlogloss:0.006504+0.000075 test-mlogloss:0.959640+0.038935
## [49] train-mlogloss:0.006400+0.000075 test-mlogloss:0.961268+0.039294
## [50] train-mlogloss:0.006290+0.000073 test-mlogloss:0.963359+0.039224
## [51] train-mlogloss:0.006190+0.000057 test-mlogloss:0.966227+0.039196
## [52] train-mlogloss:0.006090+0.000050 test-mlogloss:0.969162+0.038517
## [53] train-mlogloss:0.005990+0.000051 test-mlogloss:0.971085+0.038043
## [54] train-mlogloss:0.005896+0.000052 test-mlogloss:0.974103+0.038444
## [55] train-mlogloss:0.005805+0.000051 test-mlogloss:0.976073+0.038864
## [56] train-mlogloss:0.005718+0.000049 test-mlogloss:0.977450+0.039226
## [57] train-mlogloss:0.005634+0.000046 test-mlogloss:0.978885+0.038944
## [58] train-mlogloss:0.005551+0.000042 test-mlogloss:0.981393+0.040088
## [59] train-mlogloss:0.005470+0.000039 test-mlogloss:0.983818+0.039755
## [60] train-mlogloss:0.005397+0.000038 test-mlogloss:0.986351+0.040213
## [61] train-mlogloss:0.005325+0.000038 test-mlogloss:0.988625+0.039719
## [62] train-mlogloss:0.005257+0.000035 test-mlogloss:0.989871+0.039255
## [63] train-mlogloss:0.005194+0.000039 test-mlogloss:0.990733+0.038588
## [64] train-mlogloss:0.005128+0.000039 test-mlogloss:0.992473+0.038756
## [65] train-mlogloss:0.005065+0.000037 test-mlogloss:0.994388+0.038679
## [66] train-mlogloss:0.005003+0.000038 test-mlogloss:0.996327+0.039077
## [67] train-mlogloss:0.004948+0.000037 test-mlogloss:0.997106+0.039823
## [68] train-mlogloss:0.004891+0.000037 test-mlogloss:0.998756+0.040572
## [69] train-mlogloss:0.004835+0.000038 test-mlogloss:1.000925+0.040895
## [70] train-mlogloss:0.004780+0.000038 test-mlogloss:1.001829+0.041053
## [71] train-mlogloss:0.004727+0.000039 test-mlogloss:1.004885+0.040071
## [72] train-mlogloss:0.004680+0.000038 test-mlogloss:1.006329+0.040662
## [73] train-mlogloss:0.004632+0.000040 test-mlogloss:1.006420+0.040732
## [74] train-mlogloss:0.004587+0.000040 test-mlogloss:1.007480+0.039909
## [75] train-mlogloss:0.004539+0.000039 test-mlogloss:1.008907+0.041137
## [76] train-mlogloss:0.004489+0.000038 test-mlogloss:1.010127+0.039895
## [77] train-mlogloss:0.004445+0.000040 test-mlogloss:1.011785+0.040185
## [78] train-mlogloss:0.004403+0.000038 test-mlogloss:1.012565+0.039951
## [79] train-mlogloss:0.004358+0.000035 test-mlogloss:1.014787+0.040835
## [80] train-mlogloss:0.004315+0.000034 test-mlogloss:1.016579+0.040201
## [81] train-mlogloss:0.004274+0.000035 test-mlogloss:1.017508+0.041148
## [82] train-mlogloss:0.004233+0.000036 test-mlogloss:1.019300+0.041181
## [83] train-mlogloss:0.004196+0.000032 test-mlogloss:1.021385+0.041137
## [84] train-mlogloss:0.004159+0.000032 test-mlogloss:1.022104+0.041397
## [85] train-mlogloss:0.004123+0.000031 test-mlogloss:1.023317+0.040548
## [86] train-mlogloss:0.004087+0.000031 test-mlogloss:1.024941+0.041223
## [87] train-mlogloss:0.004051+0.000031 test-mlogloss:1.026621+0.041451
## [88] train-mlogloss:0.004019+0.000032 test-mlogloss:1.027897+0.042129
## [89] train-mlogloss:0.003986+0.000032 test-mlogloss:1.029125+0.042123
## [90] train-mlogloss:0.003952+0.000031 test-mlogloss:1.029961+0.041465
## [91] train-mlogloss:0.003919+0.000028 test-mlogloss:1.030983+0.041964
## [92] train-mlogloss:0.003889+0.000028 test-mlogloss:1.032284+0.042182
## [93] train-mlogloss:0.003858+0.000027 test-mlogloss:1.033003+0.043082
## [94] train-mlogloss:0.003826+0.000028 test-mlogloss:1.033955+0.042908
## [95] train-mlogloss:0.003796+0.000026 test-mlogloss:1.034731+0.042859
## [96] train-mlogloss:0.003766+0.000026 test-mlogloss:1.036365+0.042563
## [97] train-mlogloss:0.003737+0.000027 test-mlogloss:1.037491+0.042531
## [98] train-mlogloss:0.003710+0.000025 test-mlogloss:1.038300+0.042962
## [99] train-mlogloss:0.003684+0.000024 test-mlogloss:1.039307+0.042637
## [100] train-mlogloss:0.003657+0.000025 test-mlogloss:1.040748+0.043140
## [101] train-mlogloss:0.003633+0.000024 test-mlogloss:1.040984+0.043734
## [102] train-mlogloss:0.003606+0.000024 test-mlogloss:1.041807+0.042870
## [103] train-mlogloss:0.003580+0.000025 test-mlogloss:1.042875+0.042552
## [104] train-mlogloss:0.003556+0.000025 test-mlogloss:1.044071+0.042225
## [105] train-mlogloss:0.003532+0.000025 test-mlogloss:1.045560+0.041172
## [106] train-mlogloss:0.003507+0.000025 test-mlogloss:1.046340+0.041390
## [107] train-mlogloss:0.003483+0.000024 test-mlogloss:1.047563+0.041991
## [108] train-mlogloss:0.003463+0.000024 test-mlogloss:1.048828+0.042226
## [109] train-mlogloss:0.003442+0.000023 test-mlogloss:1.049282+0.041255
## [110] train-mlogloss:0.003420+0.000021 test-mlogloss:1.050852+0.041523
## [111] train-mlogloss:0.003397+0.000020 test-mlogloss:1.051377+0.041508
## [112] train-mlogloss:0.003377+0.000020 test-mlogloss:1.052841+0.041603
## [113] train-mlogloss:0.003358+0.000020 test-mlogloss:1.053235+0.042429
## [114] train-mlogloss:0.003336+0.000019 test-mlogloss:1.054136+0.042824
## [115] train-mlogloss:0.003314+0.000018 test-mlogloss:1.055054+0.041947
## [116] train-mlogloss:0.003293+0.000017 test-mlogloss:1.055903+0.041873
## [117] train-mlogloss:0.003272+0.000018 test-mlogloss:1.057089+0.042573
## [118] train-mlogloss:0.003252+0.000016 test-mlogloss:1.057734+0.042911
## [119] train-mlogloss:0.003232+0.000016 test-mlogloss:1.058295+0.042635
## [120] train-mlogloss:0.003213+0.000016 test-mlogloss:1.058941+0.042524
## [121] train-mlogloss:0.003194+0.000016 test-mlogloss:1.060316+0.042585
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## [125] train-mlogloss:0.003120+0.000016 test-mlogloss:1.065027+0.042519
## [126] train-mlogloss:0.003101+0.000015 test-mlogloss:1.065389+0.042586
## [127] train-mlogloss:0.003083+0.000015 test-mlogloss:1.066052+0.043097
## [128] train-mlogloss:0.003067+0.000013 test-mlogloss:1.066782+0.043197
## [129] train-mlogloss:0.003049+0.000014 test-mlogloss:1.067179+0.042725
## [130] train-mlogloss:0.003033+0.000012 test-mlogloss:1.068302+0.042688
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## [132] train-mlogloss:0.003000+0.000012 test-mlogloss:1.070682+0.042082
## [133] train-mlogloss:0.002985+0.000014 test-mlogloss:1.071159+0.042660
## [134] train-mlogloss:0.002968+0.000014 test-mlogloss:1.072611+0.042764
## [135] train-mlogloss:0.002954+0.000014 test-mlogloss:1.073599+0.042984
## [136] train-mlogloss:0.002939+0.000014 test-mlogloss:1.073804+0.043084
## [137] train-mlogloss:0.002925+0.000015 test-mlogloss:1.074650+0.043193
## [138] train-mlogloss:0.002910+0.000013 test-mlogloss:1.075264+0.043089
## [139] train-mlogloss:0.002897+0.000012 test-mlogloss:1.076240+0.042781
## [140] train-mlogloss:0.002882+0.000012 test-mlogloss:1.077590+0.042424
## [141] train-mlogloss:0.002869+0.000011 test-mlogloss:1.078114+0.042364
## [142] train-mlogloss:0.002855+0.000011 test-mlogloss:1.078845+0.042424
## [143] train-mlogloss:0.002842+0.000012 test-mlogloss:1.080395+0.042289
## [144] train-mlogloss:0.002828+0.000011 test-mlogloss:1.081342+0.042148
## [145] train-mlogloss:0.002814+0.000010 test-mlogloss:1.082407+0.041839
## [146] train-mlogloss:0.002800+0.000010 test-mlogloss:1.082710+0.041736
## [147] train-mlogloss:0.002788+0.000010 test-mlogloss:1.082844+0.042710
## [148] train-mlogloss:0.002776+0.000010 test-mlogloss:1.084830+0.042437
## [149] train-mlogloss:0.002763+0.000011 test-mlogloss:1.084747+0.043171
## [150] train-mlogloss:0.002751+0.000011 test-mlogloss:1.085133+0.042790
## [151] train-mlogloss:0.002738+0.000011 test-mlogloss:1.085801+0.042317
## [152] train-mlogloss:0.002727+0.000011 test-mlogloss:1.086726+0.042556
## [153] train-mlogloss:0.002714+0.000011 test-mlogloss:1.087654+0.042700
## [154] train-mlogloss:0.002701+0.000011 test-mlogloss:1.087989+0.042726
## [155] train-mlogloss:0.002689+0.000011 test-mlogloss:1.088418+0.042798
## [156] train-mlogloss:0.002677+0.000010 test-mlogloss:1.089472+0.042735
## [157] train-mlogloss:0.002665+0.000011 test-mlogloss:1.090144+0.043306
## [158] train-mlogloss:0.002654+0.000010 test-mlogloss:1.090969+0.043602
## [159] train-mlogloss:0.002644+0.000010 test-mlogloss:1.090996+0.044069
## [160] train-mlogloss:0.002633+0.000010 test-mlogloss:1.091852+0.044930
## [161] train-mlogloss:0.002623+0.000010 test-mlogloss:1.092539+0.044408
## [162] train-mlogloss:0.002611+0.000010 test-mlogloss:1.092921+0.043936
## [163] train-mlogloss:0.002600+0.000011 test-mlogloss:1.092935+0.044043
## [164] train-mlogloss:0.002589+0.000010 test-mlogloss:1.093881+0.043818
## [165] train-mlogloss:0.002579+0.000010 test-mlogloss:1.095438+0.044107
## [166] train-mlogloss:0.002568+0.000010 test-mlogloss:1.096225+0.044142
## [167] train-mlogloss:0.002559+0.000010 test-mlogloss:1.097233+0.044640
## [168] train-mlogloss:0.002549+0.000011 test-mlogloss:1.097782+0.045278
## [169] train-mlogloss:0.002538+0.000010 test-mlogloss:1.098020+0.044614
## [170] train-mlogloss:0.002529+0.000009 test-mlogloss:1.098608+0.043740
## [171] train-mlogloss:0.002518+0.000008 test-mlogloss:1.099278+0.044087
## [172] train-mlogloss:0.002509+0.000010 test-mlogloss:1.099081+0.043885
## [173] train-mlogloss:0.002499+0.000010 test-mlogloss:1.099746+0.043896
## [174] train-mlogloss:0.002490+0.000011 test-mlogloss:1.100238+0.044061
## [175] train-mlogloss:0.002480+0.000010 test-mlogloss:1.100785+0.045030
## [176] train-mlogloss:0.002470+0.000011 test-mlogloss:1.102034+0.045317
## [177] train-mlogloss:0.002461+0.000010 test-mlogloss:1.102395+0.045425
## [178] train-mlogloss:0.002451+0.000011 test-mlogloss:1.103310+0.045152
## [179] train-mlogloss:0.002441+0.000013 test-mlogloss:1.103447+0.044193
## [180] train-mlogloss:0.002432+0.000012 test-mlogloss:1.103757+0.044914
## [181] train-mlogloss:0.002423+0.000012 test-mlogloss:1.104700+0.045322
## [182] train-mlogloss:0.002414+0.000012 test-mlogloss:1.105491+0.045048
## [183] train-mlogloss:0.002404+0.000013 test-mlogloss:1.106364+0.044652
## [184] train-mlogloss:0.002396+0.000013 test-mlogloss:1.106587+0.044645
## [185] train-mlogloss:0.002388+0.000013 test-mlogloss:1.107232+0.045322
## [186] train-mlogloss:0.002380+0.000013 test-mlogloss:1.107757+0.044596
## [187] train-mlogloss:0.002372+0.000014 test-mlogloss:1.108925+0.043925
## [188] train-mlogloss:0.002363+0.000014 test-mlogloss:1.109645+0.044007
## [189] train-mlogloss:0.002355+0.000014 test-mlogloss:1.110349+0.044309
## [190] train-mlogloss:0.002347+0.000013 test-mlogloss:1.110760+0.044726
## [191] train-mlogloss:0.002339+0.000013 test-mlogloss:1.111025+0.044050
## [192] train-mlogloss:0.002331+0.000013 test-mlogloss:1.111526+0.043828
## [193] train-mlogloss:0.002323+0.000012 test-mlogloss:1.112572+0.043793
## [194] train-mlogloss:0.002316+0.000012 test-mlogloss:1.112397+0.044658
## [195] train-mlogloss:0.002308+0.000012 test-mlogloss:1.113469+0.044900
## [196] train-mlogloss:0.002301+0.000012 test-mlogloss:1.113932+0.044591
## [197] train-mlogloss:0.002295+0.000012 test-mlogloss:1.115102+0.045021
## [198] train-mlogloss:0.002287+0.000012 test-mlogloss:1.115524+0.043980
## [199] train-mlogloss:0.002279+0.000012 test-mlogloss:1.115825+0.043798
## [200] train-mlogloss:0.002272+0.000013 test-mlogloss:1.116462+0.043833
## [201] train-mlogloss:0.002265+0.000013 test-mlogloss:1.116624+0.043739
## [202] train-mlogloss:0.002257+0.000012 test-mlogloss:1.117174+0.043662
## [203] train-mlogloss:0.002251+0.000012 test-mlogloss:1.117714+0.043261
## [204] train-mlogloss:0.002243+0.000011 test-mlogloss:1.118123+0.042999
## [205] train-mlogloss:0.002236+0.000011 test-mlogloss:1.119053+0.043545
## [206] train-mlogloss:0.002230+0.000011 test-mlogloss:1.120092+0.043267
## [207] train-mlogloss:0.002222+0.000011 test-mlogloss:1.120001+0.043311
## [208] train-mlogloss:0.002215+0.000011 test-mlogloss:1.120363+0.043083
## [209] train-mlogloss:0.002208+0.000011 test-mlogloss:1.120587+0.043571
## [210] train-mlogloss:0.002202+0.000011 test-mlogloss:1.121230+0.043843
## [211] train-mlogloss:0.002195+0.000011 test-mlogloss:1.122069+0.043600
## [212] train-mlogloss:0.002188+0.000011 test-mlogloss:1.122286+0.043328
## [213] train-mlogloss:0.002182+0.000011 test-mlogloss:1.122815+0.043206
## [214] train-mlogloss:0.002175+0.000011 test-mlogloss:1.122941+0.042509
## [215] train-mlogloss:0.002168+0.000010 test-mlogloss:1.123114+0.043516
## [216] train-mlogloss:0.002162+0.000010 test-mlogloss:1.123403+0.043484
## [217] train-mlogloss:0.002156+0.000010 test-mlogloss:1.124198+0.043654
## [218] train-mlogloss:0.002150+0.000010 test-mlogloss:1.125042+0.043708
## [219] train-mlogloss:0.002144+0.000010 test-mlogloss:1.126028+0.043052
## [220] train-mlogloss:0.002137+0.000010 test-mlogloss:1.126544+0.043290
## [221] train-mlogloss:0.002132+0.000010 test-mlogloss:1.127136+0.044098
## [222] train-mlogloss:0.002126+0.000010 test-mlogloss:1.127203+0.044076
## [223] train-mlogloss:0.002120+0.000010 test-mlogloss:1.127694+0.043919
## [224] train-mlogloss:0.002114+0.000010 test-mlogloss:1.128608+0.044756
## [225] train-mlogloss:0.002108+0.000010 test-mlogloss:1.128721+0.045084
## [226] train-mlogloss:0.002102+0.000009 test-mlogloss:1.129082+0.045308
## [227] train-mlogloss:0.002097+0.000009 test-mlogloss:1.128787+0.045064
## [228] train-mlogloss:0.002090+0.000008 test-mlogloss:1.129378+0.045195
## [229] train-mlogloss:0.002084+0.000008 test-mlogloss:1.128765+0.045809
## [230] train-mlogloss:0.002078+0.000008 test-mlogloss:1.129124+0.044912
## [231] train-mlogloss:0.002073+0.000008 test-mlogloss:1.129380+0.044268
## [232] train-mlogloss:0.002068+0.000008 test-mlogloss:1.129129+0.044326
## [233] train-mlogloss:0.002063+0.000008 test-mlogloss:1.129386+0.044327
## [234] train-mlogloss:0.002057+0.000009 test-mlogloss:1.130044+0.044290
## [235] train-mlogloss:0.002051+0.000008 test-mlogloss:1.130193+0.044618
## [236] train-mlogloss:0.002046+0.000008 test-mlogloss:1.130569+0.044265
## [237] train-mlogloss:0.002041+0.000008 test-mlogloss:1.131348+0.044261
## [238] train-mlogloss:0.002035+0.000008 test-mlogloss:1.131588+0.043968
## [239] train-mlogloss:0.002030+0.000008 test-mlogloss:1.131843+0.043466
## [240] train-mlogloss:0.002024+0.000008 test-mlogloss:1.131631+0.043746
## [241] train-mlogloss:0.002020+0.000009 test-mlogloss:1.131936+0.043538
## [242] train-mlogloss:0.002014+0.000009 test-mlogloss:1.132530+0.043454
## [243] train-mlogloss:0.002008+0.000008 test-mlogloss:1.132225+0.043988
## [244] train-mlogloss:0.002003+0.000008 test-mlogloss:1.133365+0.043839
## [245] train-mlogloss:0.001999+0.000008 test-mlogloss:1.133929+0.044139
## [246] train-mlogloss:0.001993+0.000008 test-mlogloss:1.134587+0.044188
## [247] train-mlogloss:0.001989+0.000008 test-mlogloss:1.134327+0.044548
## [248] train-mlogloss:0.001984+0.000008 test-mlogloss:1.134805+0.044390
## [249] train-mlogloss:0.001979+0.000008 test-mlogloss:1.135339+0.043766
## [250] train-mlogloss:0.001973+0.000008 test-mlogloss:1.135548+0.043508
## [251] train-mlogloss:0.001969+0.000009 test-mlogloss:1.135890+0.044491
## [252] train-mlogloss:0.001965+0.000009 test-mlogloss:1.136820+0.044506
## [253] train-mlogloss:0.001960+0.000009 test-mlogloss:1.137431+0.044517
## [254] train-mlogloss:0.001955+0.000008 test-mlogloss:1.137483+0.044388
## [255] train-mlogloss:0.001951+0.000008 test-mlogloss:1.138184+0.044256
## [256] train-mlogloss:0.001946+0.000008 test-mlogloss:1.138301+0.044407
## [257] train-mlogloss:0.001941+0.000008 test-mlogloss:1.139225+0.044300
## [258] train-mlogloss:0.001937+0.000008 test-mlogloss:1.139815+0.044076
## [259] train-mlogloss:0.001932+0.000009 test-mlogloss:1.140785+0.044263
## [260] train-mlogloss:0.001928+0.000009 test-mlogloss:1.141000+0.044600
## [261] train-mlogloss:0.001924+0.000008 test-mlogloss:1.140826+0.044808
## [262] train-mlogloss:0.001919+0.000008 test-mlogloss:1.141199+0.044753
## [263] train-mlogloss:0.001915+0.000008 test-mlogloss:1.142168+0.044860
## [264] train-mlogloss:0.001910+0.000008 test-mlogloss:1.142633+0.044762
## [265] train-mlogloss:0.001905+0.000008 test-mlogloss:1.142224+0.043750
## [266] train-mlogloss:0.001901+0.000008 test-mlogloss:1.142177+0.043826
## [267] train-mlogloss:0.001896+0.000008 test-mlogloss:1.143376+0.044355
## [268] train-mlogloss:0.001892+0.000007 test-mlogloss:1.143254+0.044577
## [269] train-mlogloss:0.001887+0.000008 test-mlogloss:1.143504+0.044112
## [270] train-mlogloss:0.001883+0.000008 test-mlogloss:1.143502+0.044243
## [271] train-mlogloss:0.001879+0.000008 test-mlogloss:1.143931+0.044539
## [272] train-mlogloss:0.001875+0.000008 test-mlogloss:1.144357+0.044486
## [273] train-mlogloss:0.001871+0.000008 test-mlogloss:1.144497+0.044753
## [274] train-mlogloss:0.001867+0.000009 test-mlogloss:1.145130+0.044936
## [275] train-mlogloss:0.001862+0.000008 test-mlogloss:1.145766+0.044680
## [276] train-mlogloss:0.001858+0.000008 test-mlogloss:1.146301+0.044858
## [277] train-mlogloss:0.001853+0.000008 test-mlogloss:1.146297+0.044557
## [278] train-mlogloss:0.001849+0.000007 test-mlogloss:1.146739+0.044392
## [279] train-mlogloss:0.001844+0.000007 test-mlogloss:1.147217+0.044488
## [280] train-mlogloss:0.001841+0.000007 test-mlogloss:1.147755+0.044881
## [281] train-mlogloss:0.001836+0.000008 test-mlogloss:1.147913+0.045606
## [282] train-mlogloss:0.001832+0.000008 test-mlogloss:1.148256+0.044916
## [283] train-mlogloss:0.001829+0.000007 test-mlogloss:1.148404+0.045699
## [284] train-mlogloss:0.001825+0.000007 test-mlogloss:1.148330+0.045523
## [285] train-mlogloss:0.001821+0.000007 test-mlogloss:1.149123+0.045751
## [286] train-mlogloss:0.001817+0.000008 test-mlogloss:1.150033+0.046060
## [287] train-mlogloss:0.001813+0.000008 test-mlogloss:1.150002+0.045294
## [288] train-mlogloss:0.001810+0.000008 test-mlogloss:1.149944+0.045111
## [289] train-mlogloss:0.001806+0.000007 test-mlogloss:1.150069+0.044779
## [290] train-mlogloss:0.001802+0.000008 test-mlogloss:1.150124+0.044763
## [291] train-mlogloss:0.001799+0.000008 test-mlogloss:1.150482+0.044867
## [292] train-mlogloss:0.001796+0.000008 test-mlogloss:1.150724+0.044821
## [293] train-mlogloss:0.001793+0.000008 test-mlogloss:1.150795+0.045125
## [294] train-mlogloss:0.001789+0.000008 test-mlogloss:1.151765+0.045259
## [295] train-mlogloss:0.001785+0.000008 test-mlogloss:1.151830+0.044960
## [296] train-mlogloss:0.001782+0.000008 test-mlogloss:1.151499+0.044796
## [297] train-mlogloss:0.001778+0.000008 test-mlogloss:1.152362+0.044806
## [298] train-mlogloss:0.001774+0.000008 test-mlogloss:1.152692+0.044204
## [299] train-mlogloss:0.001771+0.000008 test-mlogloss:1.152944+0.044087
## [300] train-mlogloss:0.001767+0.000008 test-mlogloss:1.153120+0.044016
## [301] train-mlogloss:0.001764+0.000008 test-mlogloss:1.153420+0.043912
## [302] train-mlogloss:0.001760+0.000007 test-mlogloss:1.153656+0.044383
## [303] train-mlogloss:0.001756+0.000007 test-mlogloss:1.153820+0.044134
## [304] train-mlogloss:0.001753+0.000007 test-mlogloss:1.154351+0.044332
## [305] train-mlogloss:0.001750+0.000007 test-mlogloss:1.154320+0.044721
## [306] train-mlogloss:0.001746+0.000007 test-mlogloss:1.154467+0.045174
## [307] train-mlogloss:0.001743+0.000007 test-mlogloss:1.154620+0.045188
## [308] train-mlogloss:0.001740+0.000007 test-mlogloss:1.154951+0.044916
## [309] train-mlogloss:0.001736+0.000007 test-mlogloss:1.155480+0.044686
## [310] train-mlogloss:0.001733+0.000007 test-mlogloss:1.156320+0.045154
## [311] train-mlogloss:0.001730+0.000007 test-mlogloss:1.156119+0.045110
## [312] train-mlogloss:0.001727+0.000007 test-mlogloss:1.157107+0.045056
## [313] train-mlogloss:0.001723+0.000008 test-mlogloss:1.156761+0.045173
## [314] train-mlogloss:0.001720+0.000007 test-mlogloss:1.157066+0.045172
## [315] train-mlogloss:0.001717+0.000007 test-mlogloss:1.157515+0.044769
## [316] train-mlogloss:0.001713+0.000007 test-mlogloss:1.157521+0.044540
## [317] train-mlogloss:0.001710+0.000007 test-mlogloss:1.157656+0.044724
## [318] train-mlogloss:0.001707+0.000007 test-mlogloss:1.158276+0.045040
## [319] train-mlogloss:0.001704+0.000007 test-mlogloss:1.158814+0.044302
## [320] train-mlogloss:0.001700+0.000008 test-mlogloss:1.158955+0.044602
## [321] train-mlogloss:0.001697+0.000008 test-mlogloss:1.159252+0.044148
## [322] train-mlogloss:0.001694+0.000008 test-mlogloss:1.159667+0.044174
## [323] train-mlogloss:0.001691+0.000008 test-mlogloss:1.159916+0.044379
## [324] train-mlogloss:0.001688+0.000007 test-mlogloss:1.160251+0.044012
## [325] train-mlogloss:0.001685+0.000007 test-mlogloss:1.160519+0.043942
## [326] train-mlogloss:0.001682+0.000008 test-mlogloss:1.160963+0.044026
## [327] train-mlogloss:0.001678+0.000007 test-mlogloss:1.160732+0.043929
## [328] train-mlogloss:0.001675+0.000007 test-mlogloss:1.161378+0.043626
## [329] train-mlogloss:0.001672+0.000007 test-mlogloss:1.162041+0.043741
## [330] train-mlogloss:0.001669+0.000007 test-mlogloss:1.162522+0.043917
## [331] train-mlogloss:0.001666+0.000007 test-mlogloss:1.162725+0.043837
## [332] train-mlogloss:0.001663+0.000007 test-mlogloss:1.163298+0.044278
## [333] train-mlogloss:0.001661+0.000007 test-mlogloss:1.163768+0.043913
## [334] train-mlogloss:0.001657+0.000007 test-mlogloss:1.163861+0.043590
## [335] train-mlogloss:0.001655+0.000007 test-mlogloss:1.164362+0.043241
## [336] train-mlogloss:0.001652+0.000007 test-mlogloss:1.164620+0.043416
## [337] train-mlogloss:0.001649+0.000007 test-mlogloss:1.164697+0.043579
## [338] train-mlogloss:0.001646+0.000007 test-mlogloss:1.165326+0.043304
## [339] train-mlogloss:0.001644+0.000007 test-mlogloss:1.165327+0.043458
## [340] train-mlogloss:0.001641+0.000007 test-mlogloss:1.165525+0.043553
## [341] train-mlogloss:0.001638+0.000006 test-mlogloss:1.165849+0.043763
## [342] train-mlogloss:0.001636+0.000007 test-mlogloss:1.166113+0.044405
## [343] train-mlogloss:0.001633+0.000007 test-mlogloss:1.166397+0.044434
## [344] train-mlogloss:0.001630+0.000006 test-mlogloss:1.167445+0.044117
## [345] train-mlogloss:0.001628+0.000006 test-mlogloss:1.167821+0.044589
## [346] train-mlogloss:0.001625+0.000006 test-mlogloss:1.167525+0.044381
## [347] train-mlogloss:0.001622+0.000006 test-mlogloss:1.168445+0.044114
## [348] train-mlogloss:0.001619+0.000006 test-mlogloss:1.168381+0.044684
## [349] train-mlogloss:0.001617+0.000006 test-mlogloss:1.168531+0.044228
## [350] train-mlogloss:0.001615+0.000006 test-mlogloss:1.168517+0.044364
## [351] train-mlogloss:0.001612+0.000005 test-mlogloss:1.169000+0.044558
## [352] train-mlogloss:0.001609+0.000006 test-mlogloss:1.169439+0.044363
## [353] train-mlogloss:0.001607+0.000005 test-mlogloss:1.169992+0.044758
## [354] train-mlogloss:0.001604+0.000006 test-mlogloss:1.170180+0.044920
## [355] train-mlogloss:0.001601+0.000005 test-mlogloss:1.170003+0.044608
## [356] train-mlogloss:0.001599+0.000006 test-mlogloss:1.170476+0.044527
## [357] train-mlogloss:0.001596+0.000006 test-mlogloss:1.170471+0.044848
## [358] train-mlogloss:0.001593+0.000006 test-mlogloss:1.170603+0.044573
## [359] train-mlogloss:0.001591+0.000006 test-mlogloss:1.171058+0.044468
## [360] train-mlogloss:0.001588+0.000006 test-mlogloss:1.171350+0.043997
## [361] train-mlogloss:0.001585+0.000006 test-mlogloss:1.171892+0.043904
## [362] train-mlogloss:0.001582+0.000005 test-mlogloss:1.172608+0.043696
## [363] train-mlogloss:0.001580+0.000005 test-mlogloss:1.172448+0.043149
## [364] train-mlogloss:0.001577+0.000005 test-mlogloss:1.172574+0.043122
## [365] train-mlogloss:0.001575+0.000005 test-mlogloss:1.173176+0.043856
## [366] train-mlogloss:0.001573+0.000005 test-mlogloss:1.173538+0.043560
## [367] train-mlogloss:0.001570+0.000005 test-mlogloss:1.173455+0.043372
## [368] train-mlogloss:0.001567+0.000005 test-mlogloss:1.173501+0.043769
## [369] train-mlogloss:0.001565+0.000005 test-mlogloss:1.174210+0.044264
## [370] train-mlogloss:0.001562+0.000005 test-mlogloss:1.175052+0.043914
## [371] train-mlogloss:0.001560+0.000005 test-mlogloss:1.175257+0.044095
## [372] train-mlogloss:0.001557+0.000005 test-mlogloss:1.175553+0.043813
## [373] train-mlogloss:0.001555+0.000005 test-mlogloss:1.176193+0.043946
## [374] train-mlogloss:0.001553+0.000005 test-mlogloss:1.175830+0.043953
## [375] train-mlogloss:0.001550+0.000005 test-mlogloss:1.176445+0.043815
## [376] train-mlogloss:0.001548+0.000005 test-mlogloss:1.176981+0.044194
## [377] train-mlogloss:0.001545+0.000005 test-mlogloss:1.176372+0.044063
## [378] train-mlogloss:0.001543+0.000005 test-mlogloss:1.176805+0.044450
## [379] train-mlogloss:0.001541+0.000005 test-mlogloss:1.176672+0.044900
## [380] train-mlogloss:0.001539+0.000005 test-mlogloss:1.177055+0.045170
## [381] train-mlogloss:0.001537+0.000005 test-mlogloss:1.177125+0.045106
## [382] train-mlogloss:0.001534+0.000005 test-mlogloss:1.177062+0.044854
## [383] train-mlogloss:0.001532+0.000005 test-mlogloss:1.177327+0.044732
## [384] train-mlogloss:0.001530+0.000004 test-mlogloss:1.177444+0.044643
## [385] train-mlogloss:0.001527+0.000004 test-mlogloss:1.177526+0.044443
## [386] train-mlogloss:0.001526+0.000005 test-mlogloss:1.178724+0.044190
## [387] train-mlogloss:0.001523+0.000005 test-mlogloss:1.178047+0.044342
## [388] train-mlogloss:0.001521+0.000005 test-mlogloss:1.178977+0.044416
## [389] train-mlogloss:0.001519+0.000005 test-mlogloss:1.178841+0.044672
## [390] train-mlogloss:0.001516+0.000005 test-mlogloss:1.179290+0.044528
## [391] train-mlogloss:0.001514+0.000005 test-mlogloss:1.178874+0.044726
## [392] train-mlogloss:0.001512+0.000004 test-mlogloss:1.179506+0.044745
## [393] train-mlogloss:0.001510+0.000004 test-mlogloss:1.180056+0.044805
## [394] train-mlogloss:0.001507+0.000005 test-mlogloss:1.179766+0.045021
## [395] train-mlogloss:0.001505+0.000005 test-mlogloss:1.180006+0.044597
## [396] train-mlogloss:0.001503+0.000005 test-mlogloss:1.180493+0.044604
## [397] train-mlogloss:0.001501+0.000005 test-mlogloss:1.180744+0.044492
## [398] train-mlogloss:0.001499+0.000005 test-mlogloss:1.180880+0.044975
## [399] train-mlogloss:0.001497+0.000005 test-mlogloss:1.180772+0.044462
## [400] train-mlogloss:0.001495+0.000005 test-mlogloss:1.181046+0.044483
## [401] train-mlogloss:0.001493+0.000005 test-mlogloss:1.181366+0.044715
## [402] train-mlogloss:0.001490+0.000005 test-mlogloss:1.181629+0.044646
## [403] train-mlogloss:0.001489+0.000005 test-mlogloss:1.181745+0.044557
## [404] train-mlogloss:0.001487+0.000005 test-mlogloss:1.182136+0.044439
## [405] train-mlogloss:0.001484+0.000005 test-mlogloss:1.181954+0.044265
## [406] train-mlogloss:0.001482+0.000005 test-mlogloss:1.182858+0.044298
## [407] train-mlogloss:0.001480+0.000005 test-mlogloss:1.183347+0.044635
## [408] train-mlogloss:0.001478+0.000005 test-mlogloss:1.182775+0.044586
## [409] train-mlogloss:0.001477+0.000005 test-mlogloss:1.182947+0.044504
## [410] train-mlogloss:0.001474+0.000005 test-mlogloss:1.183102+0.044289
## [411] train-mlogloss:0.001472+0.000005 test-mlogloss:1.183760+0.044048
## [412] train-mlogloss:0.001470+0.000005 test-mlogloss:1.183293+0.043863
## [413] train-mlogloss:0.001468+0.000005 test-mlogloss:1.183894+0.043523
## [414] train-mlogloss:0.001466+0.000005 test-mlogloss:1.183607+0.043521
## [415] train-mlogloss:0.001464+0.000005 test-mlogloss:1.184187+0.043786
## [416] train-mlogloss:0.001463+0.000006 test-mlogloss:1.184582+0.043795
## [417] train-mlogloss:0.001460+0.000005 test-mlogloss:1.184910+0.043689
## [418] train-mlogloss:0.001458+0.000005 test-mlogloss:1.185176+0.043574
## [419] train-mlogloss:0.001456+0.000006 test-mlogloss:1.185082+0.043717
## [420] train-mlogloss:0.001454+0.000006 test-mlogloss:1.185448+0.043915
## [421] train-mlogloss:0.001452+0.000005 test-mlogloss:1.185899+0.044014
## [422] train-mlogloss:0.001450+0.000006 test-mlogloss:1.186538+0.043945
## [423] train-mlogloss:0.001448+0.000006 test-mlogloss:1.186222+0.044205
## [424] train-mlogloss:0.001446+0.000006 test-mlogloss:1.187142+0.044199
## [425] train-mlogloss:0.001445+0.000006 test-mlogloss:1.187190+0.043732
## [426] train-mlogloss:0.001443+0.000005 test-mlogloss:1.187953+0.043628
## [427] train-mlogloss:0.001440+0.000005 test-mlogloss:1.188099+0.044149
## [428] train-mlogloss:0.001438+0.000005 test-mlogloss:1.187873+0.043470
## [429] train-mlogloss:0.001437+0.000005 test-mlogloss:1.188037+0.043180
## [430] train-mlogloss:0.001435+0.000006 test-mlogloss:1.188413+0.043550
## [431] train-mlogloss:0.001433+0.000006 test-mlogloss:1.187825+0.043148
## [432] train-mlogloss:0.001431+0.000006 test-mlogloss:1.188153+0.043250
## [433] train-mlogloss:0.001429+0.000006 test-mlogloss:1.188490+0.042997
## [434] train-mlogloss:0.001427+0.000006 test-mlogloss:1.188985+0.042657
## [435] train-mlogloss:0.001425+0.000006 test-mlogloss:1.189382+0.042748
## [436] train-mlogloss:0.001424+0.000005 test-mlogloss:1.189875+0.043431
## [437] train-mlogloss:0.001422+0.000005 test-mlogloss:1.189552+0.043137
## [438] train-mlogloss:0.001420+0.000005 test-mlogloss:1.189874+0.043033
## [439] train-mlogloss:0.001419+0.000006 test-mlogloss:1.190167+0.042874
## [440] train-mlogloss:0.001417+0.000005 test-mlogloss:1.189632+0.043065
## [441] train-mlogloss:0.001416+0.000005 test-mlogloss:1.189865+0.043068
## [442] train-mlogloss:0.001413+0.000005 test-mlogloss:1.190322+0.043503
## [443] train-mlogloss:0.001411+0.000005 test-mlogloss:1.190716+0.043033
## [444] train-mlogloss:0.001410+0.000005 test-mlogloss:1.191002+0.042960
## [445] train-mlogloss:0.001408+0.000005 test-mlogloss:1.191517+0.042661
## [446] train-mlogloss:0.001406+0.000006 test-mlogloss:1.191566+0.042967
## [447] train-mlogloss:0.001404+0.000005 test-mlogloss:1.192068+0.042984
## [448] train-mlogloss:0.001402+0.000005 test-mlogloss:1.192728+0.042909
## [449] train-mlogloss:0.001400+0.000006 test-mlogloss:1.193084+0.042698
## [450] train-mlogloss:0.001399+0.000005 test-mlogloss:1.193721+0.043154
## [451] train-mlogloss:0.001397+0.000005 test-mlogloss:1.192835+0.042974
## [452] train-mlogloss:0.001395+0.000005 test-mlogloss:1.193004+0.043479
## [453] train-mlogloss:0.001394+0.000005 test-mlogloss:1.193934+0.043584
## [454] train-mlogloss:0.001392+0.000005 test-mlogloss:1.193765+0.043830
## [455] train-mlogloss:0.001390+0.000005 test-mlogloss:1.194063+0.044020
## [456] train-mlogloss:0.001389+0.000005 test-mlogloss:1.193829+0.043267
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## [458] train-mlogloss:0.001385+0.000005 test-mlogloss:1.194637+0.042926
## [459] train-mlogloss:0.001383+0.000005 test-mlogloss:1.195058+0.043197
## [460] train-mlogloss:0.001382+0.000005 test-mlogloss:1.194814+0.043402
## [461] train-mlogloss:0.001380+0.000005 test-mlogloss:1.195045+0.043745
## [462] train-mlogloss:0.001379+0.000005 test-mlogloss:1.195629+0.043946
## [463] train-mlogloss:0.001377+0.000005 test-mlogloss:1.195294+0.043764
## [464] train-mlogloss:0.001375+0.000005 test-mlogloss:1.195636+0.043638
## [465] train-mlogloss:0.001373+0.000005 test-mlogloss:1.195613+0.043538
## [466] train-mlogloss:0.001372+0.000005 test-mlogloss:1.195977+0.042962
## [467] train-mlogloss:0.001370+0.000005 test-mlogloss:1.196535+0.043463
## [468] train-mlogloss:0.001368+0.000005 test-mlogloss:1.196700+0.043932
## [469] train-mlogloss:0.001367+0.000005 test-mlogloss:1.196410+0.043718
## [470] train-mlogloss:0.001365+0.000005 test-mlogloss:1.196915+0.043915
## [471] train-mlogloss:0.001363+0.000005 test-mlogloss:1.196955+0.043015
## [472] train-mlogloss:0.001362+0.000005 test-mlogloss:1.197284+0.043124
## [473] train-mlogloss:0.001360+0.000005 test-mlogloss:1.197377+0.042556
## [474] train-mlogloss:0.001359+0.000005 test-mlogloss:1.197432+0.043063
## [475] train-mlogloss:0.001358+0.000004 test-mlogloss:1.197654+0.042795
## [476] train-mlogloss:0.001356+0.000004 test-mlogloss:1.197755+0.042525
## [477] train-mlogloss:0.001355+0.000004 test-mlogloss:1.197721+0.042825
## [478] train-mlogloss:0.001353+0.000004 test-mlogloss:1.198013+0.041974
## [479] train-mlogloss:0.001352+0.000004 test-mlogloss:1.198366+0.042194
## [480] train-mlogloss:0.001350+0.000004 test-mlogloss:1.198391+0.042345
## [481] train-mlogloss:0.001349+0.000004 test-mlogloss:1.198564+0.042423
## [482] train-mlogloss:0.001347+0.000004 test-mlogloss:1.198491+0.042165
## [483] train-mlogloss:0.001346+0.000004 test-mlogloss:1.199612+0.042184
## [484] train-mlogloss:0.001344+0.000004 test-mlogloss:1.199299+0.042383
## [485] train-mlogloss:0.001343+0.000004 test-mlogloss:1.199934+0.042721
## [486] train-mlogloss:0.001341+0.000004 test-mlogloss:1.200489+0.043031
## [487] train-mlogloss:0.001340+0.000004 test-mlogloss:1.200029+0.042968
## [488] train-mlogloss:0.001338+0.000004 test-mlogloss:1.200071+0.042624
## [489] train-mlogloss:0.001337+0.000004 test-mlogloss:1.200271+0.042818
## [490] train-mlogloss:0.001335+0.000004 test-mlogloss:1.200436+0.042507
## [491] train-mlogloss:0.001334+0.000004 test-mlogloss:1.200478+0.042594
## [492] train-mlogloss:0.001332+0.000004 test-mlogloss:1.200386+0.042696
## [493] train-mlogloss:0.001331+0.000004 test-mlogloss:1.200896+0.042740
## [494] train-mlogloss:0.001329+0.000004 test-mlogloss:1.201142+0.042901
## [495] train-mlogloss:0.001328+0.000004 test-mlogloss:1.201332+0.042160
## [496] train-mlogloss:0.001326+0.000004 test-mlogloss:1.201597+0.042507
## [497] train-mlogloss:0.001324+0.000004 test-mlogloss:1.201517+0.042838
## [498] train-mlogloss:0.001323+0.000004 test-mlogloss:1.201796+0.042846
## [499] train-mlogloss:0.001322+0.000004 test-mlogloss:1.202099+0.042515
## [500] train-mlogloss:0.001320+0.000004 test-mlogloss:1.201588+0.042371
## [1] train-mlogloss:0.613671+0.001166 test-mlogloss:0.621381+0.003867
## [2] train-mlogloss:0.569541+0.001780 test-mlogloss:0.583686+0.005663
## [3] train-mlogloss:0.542178+0.002334 test-mlogloss:0.563664+0.007211
## [4] train-mlogloss:0.524050+0.002683 test-mlogloss:0.552257+0.009318
## [5] train-mlogloss:0.511570+0.002867 test-mlogloss:0.545938+0.011248
## [6] train-mlogloss:0.502662+0.002913 test-mlogloss:0.542268+0.011819
## [7] train-mlogloss:0.495335+0.003192 test-mlogloss:0.540035+0.012389
## [8] train-mlogloss:0.489305+0.003499 test-mlogloss:0.539252+0.012731
## [9] train-mlogloss:0.484770+0.003575 test-mlogloss:0.538684+0.013446
## [10] train-mlogloss:0.480206+0.003599 test-mlogloss:0.539346+0.013832
## [11] train-mlogloss:0.476142+0.003453 test-mlogloss:0.538756+0.014179
## [12] train-mlogloss:0.473740+0.003705 test-mlogloss:0.538738+0.014446
## [13] train-mlogloss:0.470246+0.003358 test-mlogloss:0.539566+0.014577
## [14] train-mlogloss:0.466639+0.003794 test-mlogloss:0.539708+0.015642
## [15] train-mlogloss:0.464098+0.002852 test-mlogloss:0.540196+0.015438
## [16] train-mlogloss:0.462053+0.003178 test-mlogloss:0.540679+0.015576
## [17] train-mlogloss:0.461064+0.003445 test-mlogloss:0.541019+0.015727
## [18] train-mlogloss:0.458880+0.003702 test-mlogloss:0.542299+0.016202
## [19] train-mlogloss:0.456308+0.003929 test-mlogloss:0.543349+0.016354
## [20] train-mlogloss:0.452480+0.003677 test-mlogloss:0.545100+0.016692
## [21] train-mlogloss:0.449972+0.003875 test-mlogloss:0.545546+0.016149
## [22] train-mlogloss:0.448280+0.003613 test-mlogloss:0.545732+0.016340
## [23] train-mlogloss:0.445699+0.003334 test-mlogloss:0.545582+0.016384
## [24] train-mlogloss:0.443540+0.003348 test-mlogloss:0.545774+0.016222
## [25] train-mlogloss:0.441037+0.003806 test-mlogloss:0.546132+0.016688
## [26] train-mlogloss:0.440351+0.003682 test-mlogloss:0.546493+0.016315
## [27] train-mlogloss:0.438930+0.004163 test-mlogloss:0.546508+0.016284
## [28] train-mlogloss:0.437161+0.004152 test-mlogloss:0.546763+0.016643
## [29] train-mlogloss:0.434298+0.004707 test-mlogloss:0.547883+0.016717
## [30] train-mlogloss:0.431875+0.004952 test-mlogloss:0.548939+0.017420
## [31] train-mlogloss:0.429141+0.005179 test-mlogloss:0.549806+0.017486
## [32] train-mlogloss:0.425936+0.006050 test-mlogloss:0.550773+0.018194
## [33] train-mlogloss:0.422958+0.005942 test-mlogloss:0.551709+0.018220
## [34] train-mlogloss:0.420723+0.006086 test-mlogloss:0.552364+0.018455
## [35] train-mlogloss:0.418690+0.006237 test-mlogloss:0.552962+0.018513
## [36] train-mlogloss:0.416242+0.007135 test-mlogloss:0.553339+0.018998
## [37] train-mlogloss:0.413486+0.006822 test-mlogloss:0.554183+0.019373
## [38] train-mlogloss:0.410769+0.006126 test-mlogloss:0.554510+0.018977
## [39] train-mlogloss:0.407821+0.005469 test-mlogloss:0.555185+0.018970
## [40] train-mlogloss:0.405229+0.005756 test-mlogloss:0.555770+0.018193
## [41] train-mlogloss:0.403134+0.006167 test-mlogloss:0.556772+0.018463
## [42] train-mlogloss:0.401552+0.005455 test-mlogloss:0.556902+0.018499
## [43] train-mlogloss:0.399958+0.005337 test-mlogloss:0.557724+0.019092
## [44] train-mlogloss:0.397253+0.005234 test-mlogloss:0.558890+0.019268
## [45] train-mlogloss:0.395694+0.006002 test-mlogloss:0.559910+0.020379
## [46] train-mlogloss:0.394101+0.006546 test-mlogloss:0.560354+0.020927
## [47] train-mlogloss:0.392667+0.006454 test-mlogloss:0.560828+0.020459
## [48] train-mlogloss:0.391292+0.006981 test-mlogloss:0.561453+0.021139
## [49] train-mlogloss:0.389236+0.007713 test-mlogloss:0.561826+0.021361
## [50] train-mlogloss:0.386874+0.007571 test-mlogloss:0.562436+0.022197
## [51] train-mlogloss:0.384248+0.007143 test-mlogloss:0.563317+0.022117
## [52] train-mlogloss:0.383257+0.007065 test-mlogloss:0.563542+0.021759
## [53] train-mlogloss:0.381665+0.007030 test-mlogloss:0.563788+0.022018
## [54] train-mlogloss:0.379480+0.007271 test-mlogloss:0.563818+0.022106
## [55] train-mlogloss:0.377490+0.006753 test-mlogloss:0.564399+0.022206
## [56] train-mlogloss:0.375847+0.007606 test-mlogloss:0.564538+0.022464
## [57] train-mlogloss:0.373788+0.006851 test-mlogloss:0.565279+0.022268
## [58] train-mlogloss:0.372307+0.007293 test-mlogloss:0.565550+0.021861
## [59] train-mlogloss:0.370971+0.007768 test-mlogloss:0.566241+0.021949
## [60] train-mlogloss:0.369942+0.007887 test-mlogloss:0.566829+0.022139
## [61] train-mlogloss:0.368220+0.007435 test-mlogloss:0.567524+0.022162
## [62] train-mlogloss:0.366735+0.007964 test-mlogloss:0.568096+0.022619
## [63] train-mlogloss:0.365309+0.008913 test-mlogloss:0.568978+0.023018
## [64] train-mlogloss:0.363924+0.008513 test-mlogloss:0.569505+0.023089
## [65] train-mlogloss:0.361644+0.009238 test-mlogloss:0.570684+0.023703
## [66] train-mlogloss:0.359477+0.009384 test-mlogloss:0.571129+0.024222
## [67] train-mlogloss:0.357242+0.010158 test-mlogloss:0.571865+0.024608
## [68] train-mlogloss:0.355650+0.009943 test-mlogloss:0.572121+0.024095
## [69] train-mlogloss:0.354008+0.009120 test-mlogloss:0.572644+0.024028
## [70] train-mlogloss:0.351616+0.009212 test-mlogloss:0.574030+0.024154
## [71] train-mlogloss:0.349621+0.008802 test-mlogloss:0.574580+0.023911
## [72] train-mlogloss:0.347319+0.007906 test-mlogloss:0.575219+0.023698
## [73] train-mlogloss:0.345370+0.007622 test-mlogloss:0.575632+0.023782
## [74] train-mlogloss:0.343461+0.007216 test-mlogloss:0.576331+0.023572
## [75] train-mlogloss:0.340951+0.007178 test-mlogloss:0.577343+0.023325
## [76] train-mlogloss:0.338713+0.007292 test-mlogloss:0.577860+0.023417
## [77] train-mlogloss:0.336720+0.007383 test-mlogloss:0.579050+0.023709
## [78] train-mlogloss:0.335403+0.008149 test-mlogloss:0.579129+0.023686
## [79] train-mlogloss:0.333508+0.008126 test-mlogloss:0.579996+0.024209
## [80] train-mlogloss:0.331355+0.008435 test-mlogloss:0.580032+0.023903
## [81] train-mlogloss:0.330474+0.008474 test-mlogloss:0.580532+0.024075
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## [86] train-mlogloss:0.323287+0.010467 test-mlogloss:0.582581+0.025086
## [87] train-mlogloss:0.322039+0.010559 test-mlogloss:0.582711+0.025234
## [88] train-mlogloss:0.320412+0.011115 test-mlogloss:0.583371+0.025339
## [89] train-mlogloss:0.318450+0.010878 test-mlogloss:0.583737+0.025100
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## [91] train-mlogloss:0.314913+0.011056 test-mlogloss:0.585357+0.025872
## [92] train-mlogloss:0.312068+0.010679 test-mlogloss:0.586157+0.025646
## [93] train-mlogloss:0.309647+0.010462 test-mlogloss:0.586626+0.025448
## [94] train-mlogloss:0.307353+0.009858 test-mlogloss:0.587479+0.025385
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## [118] train-mlogloss:0.270732+0.006704 test-mlogloss:0.599512+0.027254
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## [121] train-mlogloss:0.268076+0.005976 test-mlogloss:0.601222+0.027546
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## [129] train-mlogloss:0.256855+0.006693 test-mlogloss:0.606627+0.028439
## [130] train-mlogloss:0.255745+0.006446 test-mlogloss:0.607375+0.028192
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## [134] train-mlogloss:0.251554+0.006995 test-mlogloss:0.610363+0.028605
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## [136] train-mlogloss:0.249613+0.006464 test-mlogloss:0.611667+0.028212
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## [144] train-mlogloss:0.239012+0.005932 test-mlogloss:0.615649+0.028621
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## [146] train-mlogloss:0.236411+0.005419 test-mlogloss:0.616460+0.028738
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## [150] train-mlogloss:0.230871+0.004951 test-mlogloss:0.617528+0.028335
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## [154] train-mlogloss:0.225394+0.004972 test-mlogloss:0.618851+0.029420
## [155] train-mlogloss:0.224341+0.005259 test-mlogloss:0.619495+0.029696
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## [159] train-mlogloss:0.220978+0.005733 test-mlogloss:0.621560+0.030347
## [160] train-mlogloss:0.219766+0.005623 test-mlogloss:0.622081+0.030008
## [161] train-mlogloss:0.219018+0.005993 test-mlogloss:0.622300+0.030151
## [162] train-mlogloss:0.218452+0.005970 test-mlogloss:0.622358+0.030322
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## [184] train-mlogloss:0.197166+0.005965 test-mlogloss:0.633449+0.033047
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## [201] train-mlogloss:0.179773+0.005850 test-mlogloss:0.643637+0.032492
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## [294] train-mlogloss:0.115245+0.004735 test-mlogloss:0.691959+0.035816
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## [296] train-mlogloss:0.114273+0.004815 test-mlogloss:0.692802+0.035580
## [297] train-mlogloss:0.113710+0.004756 test-mlogloss:0.692973+0.035220
## [298] train-mlogloss:0.113269+0.004939 test-mlogloss:0.693448+0.035105
## [299] train-mlogloss:0.112709+0.004706 test-mlogloss:0.693967+0.035325
## [300] train-mlogloss:0.112180+0.004638 test-mlogloss:0.694553+0.035350
## [301] train-mlogloss:0.111704+0.004711 test-mlogloss:0.695321+0.035259
## [302] train-mlogloss:0.111153+0.004682 test-mlogloss:0.695929+0.035795
## [303] train-mlogloss:0.110576+0.004486 test-mlogloss:0.696519+0.036409
## [304] train-mlogloss:0.109872+0.004666 test-mlogloss:0.697318+0.036599
## [305] train-mlogloss:0.109181+0.004844 test-mlogloss:0.697967+0.036826
## [306] train-mlogloss:0.108693+0.005000 test-mlogloss:0.698637+0.037221
## [307] train-mlogloss:0.108220+0.004810 test-mlogloss:0.699077+0.037389
## [308] train-mlogloss:0.107595+0.004839 test-mlogloss:0.699688+0.037191
## [309] train-mlogloss:0.107265+0.004780 test-mlogloss:0.700437+0.037091
## [310] train-mlogloss:0.106744+0.004740 test-mlogloss:0.701002+0.037305
## [311] train-mlogloss:0.106323+0.004786 test-mlogloss:0.701734+0.037401
## [312] train-mlogloss:0.105773+0.004721 test-mlogloss:0.702415+0.037033
## [313] train-mlogloss:0.105188+0.004651 test-mlogloss:0.703067+0.036989
## [314] train-mlogloss:0.104885+0.004638 test-mlogloss:0.703381+0.037005
## [315] train-mlogloss:0.104350+0.004677 test-mlogloss:0.703478+0.037342
## [316] train-mlogloss:0.103573+0.004676 test-mlogloss:0.704048+0.037621
## [317] train-mlogloss:0.103128+0.004648 test-mlogloss:0.704434+0.037551
## [318] train-mlogloss:0.102651+0.004787 test-mlogloss:0.704508+0.037533
## [319] train-mlogloss:0.102074+0.004868 test-mlogloss:0.705141+0.037354
## [320] train-mlogloss:0.101425+0.004789 test-mlogloss:0.705744+0.037208
## [321] train-mlogloss:0.100935+0.004813 test-mlogloss:0.705960+0.037225
## [322] train-mlogloss:0.100394+0.004871 test-mlogloss:0.706338+0.037109
## [323] train-mlogloss:0.099790+0.004855 test-mlogloss:0.707387+0.036844
## [324] train-mlogloss:0.099323+0.004847 test-mlogloss:0.708100+0.036941
## [325] train-mlogloss:0.098815+0.005027 test-mlogloss:0.708680+0.037219
## [326] train-mlogloss:0.098539+0.004881 test-mlogloss:0.709062+0.036854
## [327] train-mlogloss:0.098170+0.004691 test-mlogloss:0.709329+0.037235
## [328] train-mlogloss:0.097689+0.004568 test-mlogloss:0.709679+0.037008
## [329] train-mlogloss:0.097287+0.004534 test-mlogloss:0.710194+0.036914
## [330] train-mlogloss:0.096651+0.004543 test-mlogloss:0.711106+0.037392
## [331] train-mlogloss:0.096147+0.004490 test-mlogloss:0.711903+0.037238
## [332] train-mlogloss:0.095755+0.004548 test-mlogloss:0.712545+0.037100
## [333] train-mlogloss:0.095528+0.004618 test-mlogloss:0.712535+0.037161
## [334] train-mlogloss:0.095298+0.004597 test-mlogloss:0.712727+0.037064
## [335] train-mlogloss:0.094913+0.004360 test-mlogloss:0.713642+0.036817
## [336] train-mlogloss:0.094592+0.004256 test-mlogloss:0.714007+0.036857
## [337] train-mlogloss:0.094264+0.004303 test-mlogloss:0.714423+0.036928
## [338] train-mlogloss:0.093836+0.004396 test-mlogloss:0.714781+0.036668
## [339] train-mlogloss:0.093499+0.004334 test-mlogloss:0.715331+0.036882
## [340] train-mlogloss:0.093109+0.004272 test-mlogloss:0.715955+0.037034
## [341] train-mlogloss:0.092627+0.004254 test-mlogloss:0.716265+0.037179
## [342] train-mlogloss:0.092297+0.004368 test-mlogloss:0.717097+0.037481
## [343] train-mlogloss:0.091952+0.004494 test-mlogloss:0.717736+0.037473
## [344] train-mlogloss:0.091554+0.004419 test-mlogloss:0.717970+0.037470
## [345] train-mlogloss:0.091255+0.004551 test-mlogloss:0.718040+0.037494
## [346] train-mlogloss:0.090902+0.004542 test-mlogloss:0.718187+0.037373
## [347] train-mlogloss:0.090649+0.004618 test-mlogloss:0.718138+0.037371
## [348] train-mlogloss:0.090353+0.004746 test-mlogloss:0.718856+0.037473
## [349] train-mlogloss:0.089860+0.004894 test-mlogloss:0.719630+0.037418
## [350] train-mlogloss:0.089369+0.004786 test-mlogloss:0.720687+0.037309
## [351] train-mlogloss:0.088972+0.004832 test-mlogloss:0.720884+0.037161
## [352] train-mlogloss:0.088305+0.004701 test-mlogloss:0.721554+0.036912
## [353] train-mlogloss:0.087883+0.004700 test-mlogloss:0.721975+0.037160
## [354] train-mlogloss:0.087496+0.004791 test-mlogloss:0.722460+0.037079
## [355] train-mlogloss:0.087123+0.004683 test-mlogloss:0.723021+0.036888
## [356] train-mlogloss:0.086741+0.004584 test-mlogloss:0.723449+0.036993
## [357] train-mlogloss:0.086414+0.004385 test-mlogloss:0.724040+0.036983
## [358] train-mlogloss:0.086099+0.004329 test-mlogloss:0.724680+0.036922
## [359] train-mlogloss:0.085748+0.004202 test-mlogloss:0.725232+0.037235
## [360] train-mlogloss:0.085312+0.004257 test-mlogloss:0.725529+0.037254
## [361] train-mlogloss:0.084965+0.004342 test-mlogloss:0.725524+0.037007
## [362] train-mlogloss:0.084693+0.004381 test-mlogloss:0.725900+0.036944
## [363] train-mlogloss:0.084211+0.004383 test-mlogloss:0.726623+0.037153
## [364] train-mlogloss:0.083789+0.004194 test-mlogloss:0.727306+0.037501
## [365] train-mlogloss:0.083518+0.004306 test-mlogloss:0.727507+0.037598
## [366] train-mlogloss:0.083288+0.004328 test-mlogloss:0.728331+0.037635
## [367] train-mlogloss:0.082990+0.004138 test-mlogloss:0.728546+0.037861
## [368] train-mlogloss:0.082685+0.003945 test-mlogloss:0.729278+0.037689
## [369] train-mlogloss:0.082287+0.003877 test-mlogloss:0.729952+0.038115
## [370] train-mlogloss:0.081885+0.003921 test-mlogloss:0.730768+0.038171
## [371] train-mlogloss:0.081420+0.003842 test-mlogloss:0.731133+0.038255
## [372] train-mlogloss:0.080959+0.003859 test-mlogloss:0.731919+0.038169
## [373] train-mlogloss:0.080808+0.003746 test-mlogloss:0.732019+0.038186
## [374] train-mlogloss:0.080516+0.003628 test-mlogloss:0.732195+0.038363
## [375] train-mlogloss:0.080069+0.003425 test-mlogloss:0.732696+0.038317
## [376] train-mlogloss:0.079774+0.003368 test-mlogloss:0.733116+0.038327
## [377] train-mlogloss:0.079433+0.003311 test-mlogloss:0.733591+0.038688
## [378] train-mlogloss:0.079004+0.003358 test-mlogloss:0.733803+0.038786
## [379] train-mlogloss:0.078604+0.003223 test-mlogloss:0.734619+0.038438
## [380] train-mlogloss:0.078215+0.003233 test-mlogloss:0.735153+0.038402
## [381] train-mlogloss:0.077684+0.003100 test-mlogloss:0.735789+0.038020
## [382] train-mlogloss:0.077369+0.003105 test-mlogloss:0.735758+0.037756
## [383] train-mlogloss:0.077080+0.003110 test-mlogloss:0.735907+0.037652
## [384] train-mlogloss:0.076819+0.003094 test-mlogloss:0.736548+0.037424
## [385] train-mlogloss:0.076349+0.003050 test-mlogloss:0.737110+0.037937
## [386] train-mlogloss:0.076067+0.002893 test-mlogloss:0.737285+0.037482
## [387] train-mlogloss:0.075851+0.002925 test-mlogloss:0.738177+0.037221
## [388] train-mlogloss:0.075523+0.002963 test-mlogloss:0.738602+0.037091
## [389] train-mlogloss:0.075085+0.002989 test-mlogloss:0.739215+0.037040
## [390] train-mlogloss:0.074851+0.002954 test-mlogloss:0.739319+0.037300
## [391] train-mlogloss:0.074568+0.002958 test-mlogloss:0.739872+0.037598
## [392] train-mlogloss:0.074133+0.002793 test-mlogloss:0.740835+0.037450
## [393] train-mlogloss:0.073860+0.002802 test-mlogloss:0.741986+0.038043
## [394] train-mlogloss:0.073611+0.002673 test-mlogloss:0.742665+0.038663
## [395] train-mlogloss:0.073401+0.002688 test-mlogloss:0.743027+0.038510
## [396] train-mlogloss:0.073040+0.002739 test-mlogloss:0.743474+0.038992
## [397] train-mlogloss:0.072636+0.002787 test-mlogloss:0.743995+0.038852
## [398] train-mlogloss:0.072402+0.002821 test-mlogloss:0.744365+0.038759
## [399] train-mlogloss:0.072132+0.002815 test-mlogloss:0.744547+0.038796
## [400] train-mlogloss:0.071750+0.002826 test-mlogloss:0.745165+0.038264
## [401] train-mlogloss:0.071491+0.002985 test-mlogloss:0.745593+0.038452
## [402] train-mlogloss:0.071264+0.002931 test-mlogloss:0.746321+0.038322
## [403] train-mlogloss:0.071071+0.002896 test-mlogloss:0.746780+0.038486
## [404] train-mlogloss:0.070746+0.002954 test-mlogloss:0.747188+0.038234
## [405] train-mlogloss:0.070451+0.002933 test-mlogloss:0.747728+0.038256
## [406] train-mlogloss:0.070238+0.002900 test-mlogloss:0.748149+0.037869
## [407] train-mlogloss:0.069987+0.002937 test-mlogloss:0.748771+0.038036
## [408] train-mlogloss:0.069552+0.003078 test-mlogloss:0.749417+0.037940
## [409] train-mlogloss:0.069142+0.003005 test-mlogloss:0.749722+0.037741
## [410] train-mlogloss:0.068818+0.003082 test-mlogloss:0.750391+0.038315
## [411] train-mlogloss:0.068443+0.003069 test-mlogloss:0.750967+0.038583
## [412] train-mlogloss:0.068043+0.002928 test-mlogloss:0.751659+0.038467
## [413] train-mlogloss:0.067671+0.002886 test-mlogloss:0.752028+0.038248
## [414] train-mlogloss:0.067168+0.002970 test-mlogloss:0.752007+0.038610
## [415] train-mlogloss:0.066934+0.002864 test-mlogloss:0.752663+0.038606
## [416] train-mlogloss:0.066739+0.002782 test-mlogloss:0.752897+0.038430
## [417] train-mlogloss:0.066527+0.002661 test-mlogloss:0.753123+0.038384
## [418] train-mlogloss:0.066309+0.002640 test-mlogloss:0.753423+0.038689
## [419] train-mlogloss:0.066088+0.002540 test-mlogloss:0.753665+0.038372
## [420] train-mlogloss:0.065756+0.002386 test-mlogloss:0.754029+0.038289
## [421] train-mlogloss:0.065419+0.002310 test-mlogloss:0.754533+0.038310
## [422] train-mlogloss:0.065244+0.002335 test-mlogloss:0.755054+0.038405
## [423] train-mlogloss:0.064979+0.002183 test-mlogloss:0.755169+0.038240
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## [427] train-mlogloss:0.063856+0.001951 test-mlogloss:0.757135+0.037972
## [428] train-mlogloss:0.063662+0.001996 test-mlogloss:0.757771+0.038146
## [429] train-mlogloss:0.063512+0.002052 test-mlogloss:0.758141+0.038137
## [430] train-mlogloss:0.063292+0.002101 test-mlogloss:0.758922+0.038317
## [431] train-mlogloss:0.062985+0.002037 test-mlogloss:0.759506+0.037796
## [432] train-mlogloss:0.062614+0.002039 test-mlogloss:0.760277+0.037410
## [433] train-mlogloss:0.062387+0.002019 test-mlogloss:0.760969+0.037682
## [434] train-mlogloss:0.062125+0.002011 test-mlogloss:0.761431+0.037688
## [435] train-mlogloss:0.061945+0.002077 test-mlogloss:0.762020+0.037723
## [436] train-mlogloss:0.061750+0.002056 test-mlogloss:0.762206+0.037643
## [437] train-mlogloss:0.061514+0.002011 test-mlogloss:0.762642+0.037635
## [438] train-mlogloss:0.061298+0.002066 test-mlogloss:0.763103+0.037746
## [439] train-mlogloss:0.061074+0.002065 test-mlogloss:0.763491+0.037889
## [440] train-mlogloss:0.060808+0.002136 test-mlogloss:0.763864+0.038296
## [441] train-mlogloss:0.060621+0.002110 test-mlogloss:0.764722+0.038296
## [442] train-mlogloss:0.060411+0.002194 test-mlogloss:0.764969+0.038565
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## [445] train-mlogloss:0.059580+0.002222 test-mlogloss:0.765179+0.038168
## [446] train-mlogloss:0.059306+0.002310 test-mlogloss:0.765866+0.038306
## [447] train-mlogloss:0.059023+0.002386 test-mlogloss:0.766008+0.038271
## [448] train-mlogloss:0.058773+0.002404 test-mlogloss:0.766442+0.037460
## [449] train-mlogloss:0.058536+0.002426 test-mlogloss:0.766833+0.037080
## [450] train-mlogloss:0.058291+0.002459 test-mlogloss:0.767097+0.037112
## [451] train-mlogloss:0.058019+0.002382 test-mlogloss:0.767382+0.037209
## [452] train-mlogloss:0.057843+0.002406 test-mlogloss:0.767572+0.037394
## [453] train-mlogloss:0.057649+0.002387 test-mlogloss:0.768135+0.037360
## [454] train-mlogloss:0.057361+0.002419 test-mlogloss:0.769036+0.037335
## [455] train-mlogloss:0.057080+0.002444 test-mlogloss:0.769892+0.037546
## [456] train-mlogloss:0.056873+0.002411 test-mlogloss:0.770280+0.037684
## [457] train-mlogloss:0.056660+0.002441 test-mlogloss:0.770824+0.037929
## [458] train-mlogloss:0.056455+0.002515 test-mlogloss:0.771379+0.037964
## [459] train-mlogloss:0.056197+0.002557 test-mlogloss:0.771514+0.038012
## [460] train-mlogloss:0.055987+0.002655 test-mlogloss:0.771940+0.037922
## [461] train-mlogloss:0.055905+0.002687 test-mlogloss:0.772162+0.037952
## [462] train-mlogloss:0.055681+0.002735 test-mlogloss:0.772535+0.037902
## [463] train-mlogloss:0.055471+0.002765 test-mlogloss:0.772861+0.038128
## [464] train-mlogloss:0.055191+0.002848 test-mlogloss:0.773520+0.038311
## [465] train-mlogloss:0.055009+0.002774 test-mlogloss:0.774234+0.038481
## [466] train-mlogloss:0.054806+0.002671 test-mlogloss:0.774653+0.038508
## [467] train-mlogloss:0.054550+0.002723 test-mlogloss:0.774903+0.038565
## [468] train-mlogloss:0.054229+0.002647 test-mlogloss:0.775873+0.038890
## [469] train-mlogloss:0.053972+0.002601 test-mlogloss:0.776531+0.039160
## [470] train-mlogloss:0.053825+0.002656 test-mlogloss:0.776828+0.039180
## [471] train-mlogloss:0.053577+0.002673 test-mlogloss:0.777642+0.039254
## [472] train-mlogloss:0.053274+0.002721 test-mlogloss:0.778299+0.039029
## [473] train-mlogloss:0.053023+0.002643 test-mlogloss:0.778747+0.039097
## [474] train-mlogloss:0.052679+0.002775 test-mlogloss:0.779289+0.038934
## [475] train-mlogloss:0.052396+0.002780 test-mlogloss:0.779280+0.039026
## [476] train-mlogloss:0.052200+0.002679 test-mlogloss:0.779465+0.038980
## [477] train-mlogloss:0.051905+0.002632 test-mlogloss:0.780074+0.039033
## [478] train-mlogloss:0.051615+0.002552 test-mlogloss:0.780511+0.038977
## [479] train-mlogloss:0.051389+0.002532 test-mlogloss:0.780833+0.039417
## [480] train-mlogloss:0.051181+0.002581 test-mlogloss:0.781387+0.039556
## [481] train-mlogloss:0.051007+0.002618 test-mlogloss:0.781751+0.039415
## [482] train-mlogloss:0.050873+0.002563 test-mlogloss:0.782285+0.039213
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## [487] train-mlogloss:0.049807+0.002464 test-mlogloss:0.783479+0.040050
## [488] train-mlogloss:0.049586+0.002500 test-mlogloss:0.783808+0.039907
## [489] train-mlogloss:0.049307+0.002497 test-mlogloss:0.784775+0.039713
## [490] train-mlogloss:0.049070+0.002464 test-mlogloss:0.785130+0.039637
## [491] train-mlogloss:0.048735+0.002359 test-mlogloss:0.785967+0.039727
## [492] train-mlogloss:0.048497+0.002349 test-mlogloss:0.786321+0.040254
## [493] train-mlogloss:0.048240+0.002367 test-mlogloss:0.787105+0.040370
## [494] train-mlogloss:0.048049+0.002416 test-mlogloss:0.787533+0.040238
## [495] train-mlogloss:0.047845+0.002410 test-mlogloss:0.788021+0.040138
## [496] train-mlogloss:0.047713+0.002387 test-mlogloss:0.788246+0.040221
## [497] train-mlogloss:0.047500+0.002363 test-mlogloss:0.789279+0.039887
## [498] train-mlogloss:0.047310+0.002433 test-mlogloss:0.789800+0.040102
## [499] train-mlogloss:0.047133+0.002419 test-mlogloss:0.790737+0.040074
## [500] train-mlogloss:0.047011+0.002443 test-mlogloss:0.791220+0.040403
## [1] train-mlogloss:0.509721+0.000797 test-mlogloss:0.637061+0.002734
## [2] train-mlogloss:0.398274+0.001262 test-mlogloss:0.612122+0.005962
## [3] train-mlogloss:0.318637+0.000690 test-mlogloss:0.597666+0.006581
## [4] train-mlogloss:0.258552+0.000870 test-mlogloss:0.594401+0.007568
## [5] train-mlogloss:0.212869+0.000811 test-mlogloss:0.594276+0.007167
## [6] train-mlogloss:0.178184+0.000804 test-mlogloss:0.595589+0.008825
## [7] train-mlogloss:0.151322+0.000707 test-mlogloss:0.599365+0.009111
## [8] train-mlogloss:0.130570+0.000520 test-mlogloss:0.606282+0.009363
## [9] train-mlogloss:0.113934+0.000451 test-mlogloss:0.612163+0.009656
## [10] train-mlogloss:0.100411+0.000286 test-mlogloss:0.619159+0.010659
## [11] train-mlogloss:0.089622+0.000414 test-mlogloss:0.626897+0.010318
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## [13] train-mlogloss:0.074174+0.000746 test-mlogloss:0.640673+0.011209
## [14] train-mlogloss:0.068209+0.000888 test-mlogloss:0.646199+0.011356
## [15] train-mlogloss:0.063283+0.000643 test-mlogloss:0.651918+0.011343
## [16] train-mlogloss:0.059176+0.001152 test-mlogloss:0.657484+0.011756
## [17] train-mlogloss:0.055561+0.001517 test-mlogloss:0.662980+0.012003
## [18] train-mlogloss:0.052147+0.001336 test-mlogloss:0.668887+0.012857
## [19] train-mlogloss:0.049282+0.000794 test-mlogloss:0.673311+0.013400
## [20] train-mlogloss:0.046566+0.000648 test-mlogloss:0.677721+0.014035
## [21] train-mlogloss:0.044164+0.000899 test-mlogloss:0.682626+0.014161
## [22] train-mlogloss:0.041895+0.000988 test-mlogloss:0.687514+0.013013
## [23] train-mlogloss:0.040106+0.000777 test-mlogloss:0.692275+0.011952
## [24] train-mlogloss:0.038101+0.000678 test-mlogloss:0.696321+0.012707
## [25] train-mlogloss:0.036446+0.000660 test-mlogloss:0.701100+0.013451
## [26] train-mlogloss:0.035237+0.000942 test-mlogloss:0.704572+0.014639
## [27] train-mlogloss:0.033727+0.000711 test-mlogloss:0.709385+0.015100
## [28] train-mlogloss:0.032238+0.000683 test-mlogloss:0.713790+0.014978
## [29] train-mlogloss:0.031271+0.000919 test-mlogloss:0.716074+0.015197
## [30] train-mlogloss:0.030434+0.001026 test-mlogloss:0.719022+0.014339
## [31] train-mlogloss:0.029416+0.000987 test-mlogloss:0.722430+0.014769
## [32] train-mlogloss:0.028605+0.000908 test-mlogloss:0.724747+0.014561
## [33] train-mlogloss:0.027688+0.000685 test-mlogloss:0.727656+0.013697
## [34] train-mlogloss:0.027077+0.000604 test-mlogloss:0.729932+0.013787
## [35] train-mlogloss:0.026381+0.000635 test-mlogloss:0.732852+0.014443
## [36] train-mlogloss:0.025699+0.000771 test-mlogloss:0.735051+0.014491
## [37] train-mlogloss:0.025051+0.000852 test-mlogloss:0.737134+0.014834
## [38] train-mlogloss:0.024498+0.000753 test-mlogloss:0.740030+0.014610
## [39] train-mlogloss:0.023807+0.000749 test-mlogloss:0.742658+0.015130
## [40] train-mlogloss:0.023170+0.000556 test-mlogloss:0.744645+0.014815
## [41] train-mlogloss:0.022674+0.000708 test-mlogloss:0.747046+0.015519
## [42] train-mlogloss:0.022175+0.000814 test-mlogloss:0.749772+0.016213
## [43] train-mlogloss:0.021635+0.000669 test-mlogloss:0.752036+0.015909
## [44] train-mlogloss:0.021069+0.000585 test-mlogloss:0.754785+0.015681
## [45] train-mlogloss:0.020583+0.000519 test-mlogloss:0.756893+0.016121
## [46] train-mlogloss:0.020195+0.000514 test-mlogloss:0.758382+0.016163
## [47] train-mlogloss:0.019673+0.000523 test-mlogloss:0.760135+0.016309
## [48] train-mlogloss:0.019242+0.000497 test-mlogloss:0.761877+0.016776
## [49] train-mlogloss:0.018793+0.000389 test-mlogloss:0.763980+0.016354
## [50] train-mlogloss:0.018345+0.000413 test-mlogloss:0.766603+0.016458
## [51] train-mlogloss:0.017909+0.000403 test-mlogloss:0.768939+0.016908
## [52] train-mlogloss:0.017628+0.000448 test-mlogloss:0.771266+0.016267
## [53] train-mlogloss:0.017380+0.000497 test-mlogloss:0.773167+0.016729
## [54] train-mlogloss:0.016989+0.000470 test-mlogloss:0.775339+0.016800
## [55] train-mlogloss:0.016681+0.000495 test-mlogloss:0.777643+0.015953
## [56] train-mlogloss:0.016428+0.000582 test-mlogloss:0.779893+0.015708
## [57] train-mlogloss:0.016160+0.000493 test-mlogloss:0.781481+0.016191
## [58] train-mlogloss:0.015833+0.000524 test-mlogloss:0.783464+0.015902
## [59] train-mlogloss:0.015606+0.000485 test-mlogloss:0.785165+0.015486
## [60] train-mlogloss:0.015357+0.000492 test-mlogloss:0.786562+0.015222
## [61] train-mlogloss:0.015052+0.000478 test-mlogloss:0.788716+0.014678
## [62] train-mlogloss:0.014778+0.000449 test-mlogloss:0.790510+0.013914
## [63] train-mlogloss:0.014556+0.000440 test-mlogloss:0.792128+0.013998
## [64] train-mlogloss:0.014349+0.000464 test-mlogloss:0.793701+0.013545
## [65] train-mlogloss:0.014120+0.000437 test-mlogloss:0.794655+0.012805
## [66] train-mlogloss:0.013874+0.000405 test-mlogloss:0.796114+0.013161
## [67] train-mlogloss:0.013672+0.000395 test-mlogloss:0.797973+0.012979
## [68] train-mlogloss:0.013416+0.000373 test-mlogloss:0.800012+0.013500
## [69] train-mlogloss:0.013244+0.000323 test-mlogloss:0.801422+0.013340
## [70] train-mlogloss:0.013059+0.000277 test-mlogloss:0.802740+0.013719
## [71] train-mlogloss:0.012893+0.000273 test-mlogloss:0.804675+0.014006
## [72] train-mlogloss:0.012686+0.000269 test-mlogloss:0.806250+0.014158
## [73] train-mlogloss:0.012536+0.000249 test-mlogloss:0.807943+0.014134
## [74] train-mlogloss:0.012386+0.000268 test-mlogloss:0.809537+0.014162
## [75] train-mlogloss:0.012258+0.000289 test-mlogloss:0.810457+0.014106
## [76] train-mlogloss:0.012079+0.000278 test-mlogloss:0.811982+0.013839
## [77] train-mlogloss:0.011918+0.000277 test-mlogloss:0.813125+0.013395
## [78] train-mlogloss:0.011778+0.000253 test-mlogloss:0.814020+0.013307
## [79] train-mlogloss:0.011625+0.000243 test-mlogloss:0.815823+0.013669
## [80] train-mlogloss:0.011453+0.000218 test-mlogloss:0.817222+0.014170
## [81] train-mlogloss:0.011275+0.000217 test-mlogloss:0.818501+0.013945
## [82] train-mlogloss:0.011124+0.000199 test-mlogloss:0.819831+0.013686
## [83] train-mlogloss:0.010989+0.000195 test-mlogloss:0.821079+0.014148
## [84] train-mlogloss:0.010835+0.000189 test-mlogloss:0.822343+0.014353
## [85] train-mlogloss:0.010729+0.000182 test-mlogloss:0.823209+0.014539
## [86] train-mlogloss:0.010602+0.000191 test-mlogloss:0.824578+0.014880
## [87] train-mlogloss:0.010493+0.000219 test-mlogloss:0.825673+0.015596
## [88] train-mlogloss:0.010372+0.000193 test-mlogloss:0.827443+0.015789
## [89] train-mlogloss:0.010259+0.000186 test-mlogloss:0.828871+0.016093
## [90] train-mlogloss:0.010130+0.000187 test-mlogloss:0.830721+0.016349
## [91] train-mlogloss:0.010030+0.000177 test-mlogloss:0.831038+0.016220
## [92] train-mlogloss:0.009913+0.000180 test-mlogloss:0.832480+0.016510
## [93] train-mlogloss:0.009805+0.000163 test-mlogloss:0.833672+0.016752
## [94] train-mlogloss:0.009684+0.000162 test-mlogloss:0.835129+0.016584
## [95] train-mlogloss:0.009576+0.000157 test-mlogloss:0.836424+0.016734
## [96] train-mlogloss:0.009459+0.000155 test-mlogloss:0.837909+0.017053
## [97] train-mlogloss:0.009357+0.000162 test-mlogloss:0.839158+0.016603
## [98] train-mlogloss:0.009255+0.000163 test-mlogloss:0.840121+0.016634
## [99] train-mlogloss:0.009156+0.000165 test-mlogloss:0.841287+0.017074
## [100] train-mlogloss:0.009053+0.000163 test-mlogloss:0.843235+0.016893
## [101] train-mlogloss:0.008951+0.000156 test-mlogloss:0.844836+0.016963
## [102] train-mlogloss:0.008869+0.000170 test-mlogloss:0.846241+0.017284
## [103] train-mlogloss:0.008783+0.000158 test-mlogloss:0.847682+0.017260
## [104] train-mlogloss:0.008712+0.000161 test-mlogloss:0.848489+0.017342
## [105] train-mlogloss:0.008625+0.000163 test-mlogloss:0.849366+0.017504
## [106] train-mlogloss:0.008535+0.000163 test-mlogloss:0.850630+0.017188
## [107] train-mlogloss:0.008447+0.000161 test-mlogloss:0.852234+0.017203
## [108] train-mlogloss:0.008361+0.000160 test-mlogloss:0.853515+0.017513
## [109] train-mlogloss:0.008278+0.000154 test-mlogloss:0.854857+0.017346
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## [111] train-mlogloss:0.008116+0.000144 test-mlogloss:0.856972+0.017192
## [112] train-mlogloss:0.008036+0.000141 test-mlogloss:0.857605+0.016839
## [113] train-mlogloss:0.007968+0.000139 test-mlogloss:0.858722+0.016445
## [114] train-mlogloss:0.007893+0.000141 test-mlogloss:0.859462+0.016369
## [115] train-mlogloss:0.007824+0.000138 test-mlogloss:0.860340+0.016152
## [116] train-mlogloss:0.007758+0.000131 test-mlogloss:0.861074+0.016108
## [117] train-mlogloss:0.007687+0.000130 test-mlogloss:0.862180+0.016024
## [118] train-mlogloss:0.007628+0.000123 test-mlogloss:0.863245+0.015934
## [119] train-mlogloss:0.007569+0.000131 test-mlogloss:0.864972+0.016386
## [120] train-mlogloss:0.007507+0.000130 test-mlogloss:0.866196+0.016422
## [121] train-mlogloss:0.007442+0.000126 test-mlogloss:0.867038+0.016411
## [122] train-mlogloss:0.007378+0.000125 test-mlogloss:0.867908+0.016443
## [123] train-mlogloss:0.007319+0.000124 test-mlogloss:0.868769+0.016206
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## [125] train-mlogloss:0.007202+0.000118 test-mlogloss:0.870487+0.016001
## [126] train-mlogloss:0.007144+0.000115 test-mlogloss:0.871527+0.016338
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## [129] train-mlogloss:0.006982+0.000113 test-mlogloss:0.874300+0.016293
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## [131] train-mlogloss:0.006880+0.000101 test-mlogloss:0.876445+0.016313
## [132] train-mlogloss:0.006827+0.000096 test-mlogloss:0.877620+0.016629
## [133] train-mlogloss:0.006778+0.000101 test-mlogloss:0.878725+0.016553
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## [201] train-mlogloss:0.004635+0.000040 test-mlogloss:0.928337+0.019987
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## [203] train-mlogloss:0.004594+0.000040 test-mlogloss:0.929347+0.019842
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## [210] train-mlogloss:0.004462+0.000038 test-mlogloss:0.933512+0.020180
## [211] train-mlogloss:0.004444+0.000037 test-mlogloss:0.933996+0.020410
## [212] train-mlogloss:0.004425+0.000037 test-mlogloss:0.934692+0.020259
## [213] train-mlogloss:0.004408+0.000037 test-mlogloss:0.935450+0.020264
## [214] train-mlogloss:0.004391+0.000036 test-mlogloss:0.935813+0.020760
## [215] train-mlogloss:0.004374+0.000037 test-mlogloss:0.936151+0.020537
## [216] train-mlogloss:0.004356+0.000037 test-mlogloss:0.936738+0.020537
## [217] train-mlogloss:0.004339+0.000038 test-mlogloss:0.937305+0.020721
## [218] train-mlogloss:0.004322+0.000038 test-mlogloss:0.937798+0.020847
## [219] train-mlogloss:0.004306+0.000038 test-mlogloss:0.937963+0.020748
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## [224] train-mlogloss:0.004225+0.000034 test-mlogloss:0.940650+0.020861
## [225] train-mlogloss:0.004209+0.000034 test-mlogloss:0.941157+0.020610
## [226] train-mlogloss:0.004192+0.000034 test-mlogloss:0.941909+0.020730
## [227] train-mlogloss:0.004177+0.000034 test-mlogloss:0.942304+0.020624
## [228] train-mlogloss:0.004162+0.000033 test-mlogloss:0.942668+0.020687
## [229] train-mlogloss:0.004148+0.000032 test-mlogloss:0.942997+0.020426
## [230] train-mlogloss:0.004132+0.000032 test-mlogloss:0.943585+0.020516
## [231] train-mlogloss:0.004117+0.000032 test-mlogloss:0.944075+0.020409
## [232] train-mlogloss:0.004101+0.000031 test-mlogloss:0.944406+0.020179
## [233] train-mlogloss:0.004087+0.000030 test-mlogloss:0.944963+0.020156
## [234] train-mlogloss:0.004072+0.000030 test-mlogloss:0.945619+0.020445
## [235] train-mlogloss:0.004058+0.000030 test-mlogloss:0.946150+0.020461
## [236] train-mlogloss:0.004043+0.000030 test-mlogloss:0.946949+0.020691
## [237] train-mlogloss:0.004029+0.000029 test-mlogloss:0.947579+0.020716
## [238] train-mlogloss:0.004015+0.000029 test-mlogloss:0.948100+0.020921
## [239] train-mlogloss:0.004001+0.000029 test-mlogloss:0.948679+0.021027
## [240] train-mlogloss:0.003988+0.000029 test-mlogloss:0.949389+0.020976
## [241] train-mlogloss:0.003975+0.000030 test-mlogloss:0.949916+0.020731
## [242] train-mlogloss:0.003960+0.000029 test-mlogloss:0.950356+0.020592
## [243] train-mlogloss:0.003947+0.000029 test-mlogloss:0.950797+0.020598
## [244] train-mlogloss:0.003933+0.000029 test-mlogloss:0.951179+0.020779
## [245] train-mlogloss:0.003920+0.000028 test-mlogloss:0.951696+0.021031
## [246] train-mlogloss:0.003905+0.000028 test-mlogloss:0.952239+0.020906
## [247] train-mlogloss:0.003894+0.000029 test-mlogloss:0.952808+0.020932
## [248] train-mlogloss:0.003882+0.000028 test-mlogloss:0.953203+0.020771
## [249] train-mlogloss:0.003867+0.000027 test-mlogloss:0.953704+0.020783
## [250] train-mlogloss:0.003854+0.000027 test-mlogloss:0.954182+0.020401
## [251] train-mlogloss:0.003840+0.000027 test-mlogloss:0.954611+0.020594
## [252] train-mlogloss:0.003826+0.000028 test-mlogloss:0.955140+0.020822
## [253] train-mlogloss:0.003814+0.000027 test-mlogloss:0.955574+0.020878
## [254] train-mlogloss:0.003802+0.000028 test-mlogloss:0.956080+0.020749
## [255] train-mlogloss:0.003790+0.000028 test-mlogloss:0.956359+0.020723
## [256] train-mlogloss:0.003778+0.000027 test-mlogloss:0.956778+0.020675
## [257] train-mlogloss:0.003767+0.000027 test-mlogloss:0.957261+0.020810
## [258] train-mlogloss:0.003755+0.000026 test-mlogloss:0.957567+0.020653
## [259] train-mlogloss:0.003743+0.000025 test-mlogloss:0.957750+0.020744
## [260] train-mlogloss:0.003731+0.000025 test-mlogloss:0.958105+0.020874
## [261] train-mlogloss:0.003719+0.000024 test-mlogloss:0.958666+0.021115
## [262] train-mlogloss:0.003707+0.000024 test-mlogloss:0.958766+0.021004
## [263] train-mlogloss:0.003697+0.000023 test-mlogloss:0.958971+0.020940
## [264] train-mlogloss:0.003686+0.000023 test-mlogloss:0.959649+0.021289
## [265] train-mlogloss:0.003674+0.000022 test-mlogloss:0.960218+0.021461
## [266] train-mlogloss:0.003664+0.000022 test-mlogloss:0.960549+0.021389
## [267] train-mlogloss:0.003654+0.000022 test-mlogloss:0.960850+0.021472
## [268] train-mlogloss:0.003644+0.000022 test-mlogloss:0.961405+0.021416
## [269] train-mlogloss:0.003634+0.000022 test-mlogloss:0.961612+0.021161
## [270] train-mlogloss:0.003623+0.000023 test-mlogloss:0.961841+0.021405
## [271] train-mlogloss:0.003613+0.000022 test-mlogloss:0.962232+0.021577
## [272] train-mlogloss:0.003602+0.000022 test-mlogloss:0.962517+0.021732
## [273] train-mlogloss:0.003592+0.000022 test-mlogloss:0.963062+0.021786
## [274] train-mlogloss:0.003581+0.000021 test-mlogloss:0.963345+0.021915
## [275] train-mlogloss:0.003570+0.000021 test-mlogloss:0.963719+0.021734
## [276] train-mlogloss:0.003561+0.000021 test-mlogloss:0.963916+0.021529
## [277] train-mlogloss:0.003551+0.000021 test-mlogloss:0.964307+0.021517
## [278] train-mlogloss:0.003541+0.000020 test-mlogloss:0.964935+0.021384
## [279] train-mlogloss:0.003531+0.000021 test-mlogloss:0.965274+0.021646
## [280] train-mlogloss:0.003520+0.000021 test-mlogloss:0.965912+0.021729
## [281] train-mlogloss:0.003511+0.000021 test-mlogloss:0.966355+0.021712
## [282] train-mlogloss:0.003500+0.000020 test-mlogloss:0.966606+0.021650
## [283] train-mlogloss:0.003491+0.000019 test-mlogloss:0.967086+0.021747
## [284] train-mlogloss:0.003481+0.000020 test-mlogloss:0.967635+0.021870
## [285] train-mlogloss:0.003472+0.000020 test-mlogloss:0.967960+0.021887
## [286] train-mlogloss:0.003462+0.000020 test-mlogloss:0.968521+0.021859
## [287] train-mlogloss:0.003452+0.000019 test-mlogloss:0.968669+0.021737
## [288] train-mlogloss:0.003444+0.000019 test-mlogloss:0.969080+0.021786
## [289] train-mlogloss:0.003434+0.000019 test-mlogloss:0.969622+0.022122
## [290] train-mlogloss:0.003424+0.000019 test-mlogloss:0.970063+0.022205
## [291] train-mlogloss:0.003415+0.000019 test-mlogloss:0.970539+0.022153
## [292] train-mlogloss:0.003406+0.000020 test-mlogloss:0.970934+0.022221
## [293] train-mlogloss:0.003398+0.000019 test-mlogloss:0.971360+0.022191
## [294] train-mlogloss:0.003389+0.000020 test-mlogloss:0.971896+0.021955
## [295] train-mlogloss:0.003380+0.000020 test-mlogloss:0.972329+0.022209
## [296] train-mlogloss:0.003371+0.000020 test-mlogloss:0.972603+0.022081
## [297] train-mlogloss:0.003363+0.000020 test-mlogloss:0.973112+0.022180
## [298] train-mlogloss:0.003354+0.000021 test-mlogloss:0.973343+0.022147
## [299] train-mlogloss:0.003346+0.000021 test-mlogloss:0.973643+0.022129
## [300] train-mlogloss:0.003337+0.000021 test-mlogloss:0.974072+0.021730
## [301] train-mlogloss:0.003328+0.000021 test-mlogloss:0.974568+0.021812
## [302] train-mlogloss:0.003320+0.000020 test-mlogloss:0.975237+0.022111
## [303] train-mlogloss:0.003312+0.000021 test-mlogloss:0.975742+0.021925
## [304] train-mlogloss:0.003304+0.000021 test-mlogloss:0.976297+0.021899
## [305] train-mlogloss:0.003295+0.000021 test-mlogloss:0.976896+0.021991
## [306] train-mlogloss:0.003286+0.000021 test-mlogloss:0.977177+0.021786
## [307] train-mlogloss:0.003278+0.000021 test-mlogloss:0.977369+0.021793
## [308] train-mlogloss:0.003270+0.000021 test-mlogloss:0.977788+0.021700
## [309] train-mlogloss:0.003262+0.000021 test-mlogloss:0.977917+0.021772
## [310] train-mlogloss:0.003254+0.000021 test-mlogloss:0.978233+0.021920
## [311] train-mlogloss:0.003246+0.000021 test-mlogloss:0.978645+0.021731
## [312] train-mlogloss:0.003238+0.000022 test-mlogloss:0.978999+0.021770
## [313] train-mlogloss:0.003230+0.000021 test-mlogloss:0.979430+0.021828
## [314] train-mlogloss:0.003222+0.000021 test-mlogloss:0.979749+0.021775
## [315] train-mlogloss:0.003214+0.000021 test-mlogloss:0.980161+0.022012
## [316] train-mlogloss:0.003206+0.000021 test-mlogloss:0.980438+0.021926
## [317] train-mlogloss:0.003198+0.000020 test-mlogloss:0.980517+0.021733
## [318] train-mlogloss:0.003190+0.000020 test-mlogloss:0.981085+0.021787
## [319] train-mlogloss:0.003182+0.000020 test-mlogloss:0.981471+0.021672
## [320] train-mlogloss:0.003174+0.000020 test-mlogloss:0.981841+0.021607
## [321] train-mlogloss:0.003167+0.000020 test-mlogloss:0.982313+0.021566
## [322] train-mlogloss:0.003159+0.000020 test-mlogloss:0.982796+0.021784
## [323] train-mlogloss:0.003152+0.000021 test-mlogloss:0.983223+0.021877
## [324] train-mlogloss:0.003145+0.000020 test-mlogloss:0.983505+0.022015
## [325] train-mlogloss:0.003138+0.000020 test-mlogloss:0.983820+0.021876
## [326] train-mlogloss:0.003130+0.000020 test-mlogloss:0.984254+0.021920
## [327] train-mlogloss:0.003123+0.000021 test-mlogloss:0.984665+0.022032
## [328] train-mlogloss:0.003116+0.000021 test-mlogloss:0.984892+0.022178
## [329] train-mlogloss:0.003109+0.000021 test-mlogloss:0.985105+0.022027
## [330] train-mlogloss:0.003102+0.000022 test-mlogloss:0.985235+0.021769
## [331] train-mlogloss:0.003095+0.000022 test-mlogloss:0.985649+0.021820
## [332] train-mlogloss:0.003087+0.000022 test-mlogloss:0.986008+0.021631
## [333] train-mlogloss:0.003080+0.000022 test-mlogloss:0.986355+0.021591
## [334] train-mlogloss:0.003073+0.000022 test-mlogloss:0.986712+0.021835
## [335] train-mlogloss:0.003067+0.000023 test-mlogloss:0.987095+0.021773
## [336] train-mlogloss:0.003060+0.000023 test-mlogloss:0.987442+0.021886
## [337] train-mlogloss:0.003054+0.000023 test-mlogloss:0.987490+0.022033
## [338] train-mlogloss:0.003047+0.000023 test-mlogloss:0.987906+0.022000
## [339] train-mlogloss:0.003041+0.000022 test-mlogloss:0.988120+0.021741
## [340] train-mlogloss:0.003034+0.000021 test-mlogloss:0.988443+0.021875
## [341] train-mlogloss:0.003027+0.000022 test-mlogloss:0.988933+0.021799
## [342] train-mlogloss:0.003020+0.000022 test-mlogloss:0.989343+0.021764
## [343] train-mlogloss:0.003014+0.000022 test-mlogloss:0.989684+0.021712
## [344] train-mlogloss:0.003007+0.000021 test-mlogloss:0.989823+0.021660
## [345] train-mlogloss:0.003000+0.000021 test-mlogloss:0.990028+0.021685
## [346] train-mlogloss:0.002994+0.000021 test-mlogloss:0.990360+0.021697
## [347] train-mlogloss:0.002987+0.000021 test-mlogloss:0.990729+0.021851
## [348] train-mlogloss:0.002981+0.000021 test-mlogloss:0.991081+0.021777
## [349] train-mlogloss:0.002975+0.000020 test-mlogloss:0.991639+0.021736
## [350] train-mlogloss:0.002969+0.000020 test-mlogloss:0.991835+0.021573
## [351] train-mlogloss:0.002963+0.000021 test-mlogloss:0.992186+0.021796
## [352] train-mlogloss:0.002957+0.000020 test-mlogloss:0.992352+0.021785
## [353] train-mlogloss:0.002950+0.000021 test-mlogloss:0.992854+0.021817
## [354] train-mlogloss:0.002944+0.000021 test-mlogloss:0.993105+0.021774
## [355] train-mlogloss:0.002938+0.000022 test-mlogloss:0.993544+0.021702
## [356] train-mlogloss:0.002932+0.000022 test-mlogloss:0.993796+0.021624
## [357] train-mlogloss:0.002927+0.000022 test-mlogloss:0.994404+0.021717
## [358] train-mlogloss:0.002922+0.000021 test-mlogloss:0.994590+0.021988
## [359] train-mlogloss:0.002915+0.000021 test-mlogloss:0.994906+0.021886
## [360] train-mlogloss:0.002909+0.000021 test-mlogloss:0.995559+0.021816
## [361] train-mlogloss:0.002903+0.000021 test-mlogloss:0.995806+0.021998
## [362] train-mlogloss:0.002897+0.000022 test-mlogloss:0.995884+0.021881
## [363] train-mlogloss:0.002892+0.000021 test-mlogloss:0.996205+0.021914
## [364] train-mlogloss:0.002886+0.000021 test-mlogloss:0.996366+0.021852
## [365] train-mlogloss:0.002880+0.000021 test-mlogloss:0.996734+0.021800
## [366] train-mlogloss:0.002875+0.000021 test-mlogloss:0.997033+0.022009
## [367] train-mlogloss:0.002869+0.000021 test-mlogloss:0.997359+0.021946
## [368] train-mlogloss:0.002863+0.000021 test-mlogloss:0.997869+0.022154
## [369] train-mlogloss:0.002858+0.000021 test-mlogloss:0.998124+0.021859
## [370] train-mlogloss:0.002852+0.000021 test-mlogloss:0.998268+0.021878
## [371] train-mlogloss:0.002847+0.000020 test-mlogloss:0.998522+0.021901
## [372] train-mlogloss:0.002841+0.000021 test-mlogloss:0.998936+0.021739
## [373] train-mlogloss:0.002836+0.000021 test-mlogloss:0.999164+0.021796
## [374] train-mlogloss:0.002830+0.000021 test-mlogloss:0.999166+0.021854
## [375] train-mlogloss:0.002824+0.000022 test-mlogloss:0.999123+0.021919
## [376] train-mlogloss:0.002819+0.000021 test-mlogloss:0.999322+0.021989
## [377] train-mlogloss:0.002814+0.000022 test-mlogloss:0.999462+0.021950
## [378] train-mlogloss:0.002808+0.000022 test-mlogloss:0.999674+0.021931
## [379] train-mlogloss:0.002802+0.000021 test-mlogloss:1.000069+0.022052
## [380] train-mlogloss:0.002797+0.000021 test-mlogloss:1.000219+0.022043
## [381] train-mlogloss:0.002792+0.000021 test-mlogloss:1.000713+0.022146
## [382] train-mlogloss:0.002786+0.000021 test-mlogloss:1.001070+0.022225
## [383] train-mlogloss:0.002781+0.000021 test-mlogloss:1.001239+0.022014
## [384] train-mlogloss:0.002776+0.000021 test-mlogloss:1.001674+0.021989
## [385] train-mlogloss:0.002771+0.000020 test-mlogloss:1.001973+0.022056
## [386] train-mlogloss:0.002766+0.000021 test-mlogloss:1.002284+0.021833
## [387] train-mlogloss:0.002761+0.000021 test-mlogloss:1.002548+0.022020
## [388] train-mlogloss:0.002755+0.000021 test-mlogloss:1.002609+0.022069
## [389] train-mlogloss:0.002750+0.000021 test-mlogloss:1.002990+0.022254
## [390] train-mlogloss:0.002745+0.000021 test-mlogloss:1.003314+0.022044
## [391] train-mlogloss:0.002740+0.000021 test-mlogloss:1.003553+0.022140
## [392] train-mlogloss:0.002735+0.000022 test-mlogloss:1.003852+0.022032
## [393] train-mlogloss:0.002730+0.000022 test-mlogloss:1.003950+0.021964
## [394] train-mlogloss:0.002725+0.000022 test-mlogloss:1.004130+0.021879
## [395] train-mlogloss:0.002719+0.000022 test-mlogloss:1.004545+0.022147
## [396] train-mlogloss:0.002715+0.000021 test-mlogloss:1.004743+0.022258
## [397] train-mlogloss:0.002710+0.000021 test-mlogloss:1.004859+0.022315
## [398] train-mlogloss:0.002705+0.000021 test-mlogloss:1.005162+0.022262
## [399] train-mlogloss:0.002700+0.000020 test-mlogloss:1.005450+0.022508
## [400] train-mlogloss:0.002695+0.000020 test-mlogloss:1.005602+0.022510
## [401] train-mlogloss:0.002690+0.000020 test-mlogloss:1.005718+0.022501
## [402] train-mlogloss:0.002685+0.000020 test-mlogloss:1.006018+0.022502
## [403] train-mlogloss:0.002681+0.000020 test-mlogloss:1.006293+0.022350
## [404] train-mlogloss:0.002676+0.000020 test-mlogloss:1.006547+0.022146
## [405] train-mlogloss:0.002672+0.000020 test-mlogloss:1.006822+0.022348
## [406] train-mlogloss:0.002666+0.000019 test-mlogloss:1.007176+0.022349
## [407] train-mlogloss:0.002662+0.000019 test-mlogloss:1.007447+0.022483
## [408] train-mlogloss:0.002656+0.000019 test-mlogloss:1.007764+0.022659
## [409] train-mlogloss:0.002652+0.000019 test-mlogloss:1.008090+0.022532
## [410] train-mlogloss:0.002647+0.000019 test-mlogloss:1.008299+0.022543
## [411] train-mlogloss:0.002642+0.000019 test-mlogloss:1.008790+0.022742
## [412] train-mlogloss:0.002638+0.000020 test-mlogloss:1.009200+0.022720
## [413] train-mlogloss:0.002634+0.000020 test-mlogloss:1.009464+0.022463
## [414] train-mlogloss:0.002628+0.000019 test-mlogloss:1.009818+0.022372
## [415] train-mlogloss:0.002624+0.000019 test-mlogloss:1.010029+0.022465
## [416] train-mlogloss:0.002619+0.000019 test-mlogloss:1.010152+0.022402
## [417] train-mlogloss:0.002615+0.000019 test-mlogloss:1.010414+0.022519
## [418] train-mlogloss:0.002611+0.000019 test-mlogloss:1.010559+0.022480
## [419] train-mlogloss:0.002606+0.000019 test-mlogloss:1.010867+0.022401
## [420] train-mlogloss:0.002601+0.000019 test-mlogloss:1.011250+0.022461
## [421] train-mlogloss:0.002597+0.000019 test-mlogloss:1.011561+0.022593
## [422] train-mlogloss:0.002592+0.000019 test-mlogloss:1.011678+0.022572
## [423] train-mlogloss:0.002588+0.000019 test-mlogloss:1.011690+0.022581
## [424] train-mlogloss:0.002583+0.000019 test-mlogloss:1.012154+0.022531
## [425] train-mlogloss:0.002579+0.000019 test-mlogloss:1.012538+0.022423
## [426] train-mlogloss:0.002575+0.000020 test-mlogloss:1.012795+0.022488
## [427] train-mlogloss:0.002571+0.000019 test-mlogloss:1.012809+0.022627
## [428] train-mlogloss:0.002567+0.000019 test-mlogloss:1.013107+0.022829
## [429] train-mlogloss:0.002562+0.000019 test-mlogloss:1.013286+0.022747
## [430] train-mlogloss:0.002557+0.000019 test-mlogloss:1.013485+0.022721
## [431] train-mlogloss:0.002553+0.000018 test-mlogloss:1.013575+0.022847
## [432] train-mlogloss:0.002549+0.000019 test-mlogloss:1.013914+0.022773
## [433] train-mlogloss:0.002545+0.000018 test-mlogloss:1.013900+0.022447
## [434] train-mlogloss:0.002541+0.000018 test-mlogloss:1.014070+0.022735
## [435] train-mlogloss:0.002536+0.000019 test-mlogloss:1.014443+0.022785
## [436] train-mlogloss:0.002532+0.000019 test-mlogloss:1.014689+0.022807
## [437] train-mlogloss:0.002528+0.000019 test-mlogloss:1.015274+0.022814
## [438] train-mlogloss:0.002524+0.000018 test-mlogloss:1.015402+0.022827
## [439] train-mlogloss:0.002520+0.000019 test-mlogloss:1.015539+0.022742
## [440] train-mlogloss:0.002516+0.000019 test-mlogloss:1.015592+0.022778
## [441] train-mlogloss:0.002512+0.000019 test-mlogloss:1.015858+0.022905
## [442] train-mlogloss:0.002508+0.000019 test-mlogloss:1.015936+0.022773
## [443] train-mlogloss:0.002504+0.000019 test-mlogloss:1.016388+0.023040
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## [479] train-mlogloss:0.002372+0.000018 test-mlogloss:1.025275+0.022593
## [480] train-mlogloss:0.002368+0.000018 test-mlogloss:1.025636+0.022469
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## [489] train-mlogloss:0.002338+0.000017 test-mlogloss:1.027613+0.022680
## [490] train-mlogloss:0.002335+0.000017 test-mlogloss:1.027986+0.022661
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## [492] train-mlogloss:0.002329+0.000017 test-mlogloss:1.028457+0.022722
## [493] train-mlogloss:0.002326+0.000017 test-mlogloss:1.028441+0.022717
## [494] train-mlogloss:0.002323+0.000017 test-mlogloss:1.028727+0.022599
## [495] train-mlogloss:0.002320+0.000017 test-mlogloss:1.029154+0.022585
## [496] train-mlogloss:0.002317+0.000017 test-mlogloss:1.029423+0.022610
## [497] train-mlogloss:0.002314+0.000017 test-mlogloss:1.029600+0.022674
## [498] train-mlogloss:0.002310+0.000017 test-mlogloss:1.029961+0.022420
## [499] train-mlogloss:0.002307+0.000017 test-mlogloss:1.030031+0.022514
## [500] train-mlogloss:0.002304+0.000017 test-mlogloss:1.030128+0.022509
## [1] train-mlogloss:0.538203+0.001269 test-mlogloss:0.556969+0.002879
## [2] train-mlogloss:0.509062+0.000808 test-mlogloss:0.543115+0.004205
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## [6] train-mlogloss:0.470544+0.003491 test-mlogloss:0.555608+0.009912
## [7] train-mlogloss:0.462155+0.005251 test-mlogloss:0.558397+0.009080
## [8] train-mlogloss:0.454045+0.005243 test-mlogloss:0.564218+0.005003
## [9] train-mlogloss:0.448118+0.004001 test-mlogloss:0.568637+0.006347
## [10] train-mlogloss:0.441751+0.004629 test-mlogloss:0.572184+0.008144
## [11] train-mlogloss:0.435229+0.002515 test-mlogloss:0.574964+0.009845
## [12] train-mlogloss:0.430917+0.003468 test-mlogloss:0.576603+0.009726
## [13] train-mlogloss:0.424876+0.004547 test-mlogloss:0.578575+0.009031
## [14] train-mlogloss:0.419940+0.006819 test-mlogloss:0.581101+0.008111
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## [16] train-mlogloss:0.409555+0.008911 test-mlogloss:0.584614+0.009010
## [17] train-mlogloss:0.405224+0.009416 test-mlogloss:0.586918+0.009761
## [18] train-mlogloss:0.398312+0.011244 test-mlogloss:0.590705+0.011586
## [19] train-mlogloss:0.392970+0.010579 test-mlogloss:0.594440+0.011367
## [20] train-mlogloss:0.384513+0.008845 test-mlogloss:0.598592+0.010799
## [21] train-mlogloss:0.377240+0.008930 test-mlogloss:0.602224+0.010390
## [22] train-mlogloss:0.371908+0.009854 test-mlogloss:0.603620+0.010660
## [23] train-mlogloss:0.365275+0.008474 test-mlogloss:0.608317+0.009859
## [24] train-mlogloss:0.359756+0.006795 test-mlogloss:0.612937+0.009512
## [25] train-mlogloss:0.353812+0.005888 test-mlogloss:0.614945+0.010989
## [26] train-mlogloss:0.347381+0.007047 test-mlogloss:0.617189+0.010996
## [27] train-mlogloss:0.342169+0.007048 test-mlogloss:0.620294+0.010381
## [28] train-mlogloss:0.334941+0.006555 test-mlogloss:0.625762+0.010267
## [29] train-mlogloss:0.328583+0.006817 test-mlogloss:0.627926+0.011830
## [30] train-mlogloss:0.323488+0.006231 test-mlogloss:0.630271+0.013378
## [31] train-mlogloss:0.319192+0.006371 test-mlogloss:0.634167+0.015366
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## [34] train-mlogloss:0.305259+0.008322 test-mlogloss:0.644137+0.015761
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## [39] train-mlogloss:0.282559+0.005605 test-mlogloss:0.655245+0.015680
## [40] train-mlogloss:0.279917+0.004821 test-mlogloss:0.658374+0.016209
## [41] train-mlogloss:0.275402+0.005878 test-mlogloss:0.660496+0.017354
## [42] train-mlogloss:0.270815+0.006090 test-mlogloss:0.664634+0.017512
## [43] train-mlogloss:0.266986+0.006829 test-mlogloss:0.667520+0.017714
## [44] train-mlogloss:0.262744+0.007116 test-mlogloss:0.670661+0.017403
## [45] train-mlogloss:0.258159+0.008141 test-mlogloss:0.674619+0.016068
## [46] train-mlogloss:0.253778+0.008314 test-mlogloss:0.676579+0.016646
## [47] train-mlogloss:0.249574+0.007947 test-mlogloss:0.679866+0.019047
## [48] train-mlogloss:0.247274+0.007862 test-mlogloss:0.682501+0.019732
## [49] train-mlogloss:0.244706+0.007964 test-mlogloss:0.683854+0.020274
## [50] train-mlogloss:0.242129+0.008762 test-mlogloss:0.683945+0.019585
## [51] train-mlogloss:0.238570+0.007331 test-mlogloss:0.687020+0.019877
## [52] train-mlogloss:0.234697+0.007667 test-mlogloss:0.687809+0.018739
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## [54] train-mlogloss:0.227028+0.006911 test-mlogloss:0.694289+0.018072
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## [57] train-mlogloss:0.217298+0.008160 test-mlogloss:0.701470+0.020241
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## [62] train-mlogloss:0.200704+0.008398 test-mlogloss:0.712581+0.022212
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## [68] train-mlogloss:0.182145+0.007631 test-mlogloss:0.725520+0.020292
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## [80] train-mlogloss:0.151615+0.005256 test-mlogloss:0.748115+0.019332
## [81] train-mlogloss:0.149334+0.005452 test-mlogloss:0.750327+0.019046
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## [94] train-mlogloss:0.122504+0.006656 test-mlogloss:0.776940+0.027035
## [95] train-mlogloss:0.120715+0.006870 test-mlogloss:0.778150+0.027832
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## [99] train-mlogloss:0.114444+0.006721 test-mlogloss:0.785094+0.028987
## [100] train-mlogloss:0.112861+0.006707 test-mlogloss:0.786559+0.028224
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## [109] train-mlogloss:0.097949+0.004681 test-mlogloss:0.804900+0.031890
## [110] train-mlogloss:0.096337+0.004479 test-mlogloss:0.805316+0.032343
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## [139] train-mlogloss:0.065199+0.004658 test-mlogloss:0.853312+0.036550
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## [157] train-mlogloss:0.050844+0.002887 test-mlogloss:0.884087+0.037858
## [158] train-mlogloss:0.050120+0.002898 test-mlogloss:0.885465+0.037934
## [159] train-mlogloss:0.049241+0.002774 test-mlogloss:0.886301+0.037151
## [160] train-mlogloss:0.048543+0.002882 test-mlogloss:0.888388+0.037215
## [161] train-mlogloss:0.047607+0.002918 test-mlogloss:0.891381+0.038941
## [162] train-mlogloss:0.046963+0.002665 test-mlogloss:0.893412+0.038660
## [163] train-mlogloss:0.046416+0.002743 test-mlogloss:0.893118+0.037712
## [164] train-mlogloss:0.045722+0.002809 test-mlogloss:0.895091+0.038369
## [165] train-mlogloss:0.045289+0.002727 test-mlogloss:0.895525+0.038191
## [166] train-mlogloss:0.044573+0.002507 test-mlogloss:0.897739+0.038818
## [167] train-mlogloss:0.044020+0.002410 test-mlogloss:0.897993+0.038906
## [168] train-mlogloss:0.043578+0.002286 test-mlogloss:0.899509+0.038493
## [169] train-mlogloss:0.042982+0.002440 test-mlogloss:0.901945+0.039869
## [170] train-mlogloss:0.042771+0.002469 test-mlogloss:0.902007+0.039312
## [171] train-mlogloss:0.042541+0.002343 test-mlogloss:0.902610+0.039222
## [172] train-mlogloss:0.041981+0.002259 test-mlogloss:0.905197+0.038839
## [173] train-mlogloss:0.041463+0.002226 test-mlogloss:0.907428+0.039810
## [174] train-mlogloss:0.041038+0.002283 test-mlogloss:0.908575+0.039787
## [175] train-mlogloss:0.040482+0.002347 test-mlogloss:0.910249+0.039933
## [176] train-mlogloss:0.040049+0.002465 test-mlogloss:0.911620+0.040972
## [177] train-mlogloss:0.039521+0.002349 test-mlogloss:0.912509+0.041677
## [178] train-mlogloss:0.039156+0.002350 test-mlogloss:0.913765+0.041291
## [179] train-mlogloss:0.038776+0.002301 test-mlogloss:0.915273+0.043004
## [180] train-mlogloss:0.038453+0.002319 test-mlogloss:0.916186+0.043306
## [181] train-mlogloss:0.038046+0.002281 test-mlogloss:0.917945+0.043954
## [182] train-mlogloss:0.037783+0.002257 test-mlogloss:0.918872+0.043257
## [183] train-mlogloss:0.037343+0.002161 test-mlogloss:0.919827+0.042178
## [184] train-mlogloss:0.036861+0.002237 test-mlogloss:0.921697+0.042732
## [185] train-mlogloss:0.036395+0.002181 test-mlogloss:0.922139+0.042966
## [186] train-mlogloss:0.036014+0.002122 test-mlogloss:0.924316+0.041888
## [187] train-mlogloss:0.035517+0.002066 test-mlogloss:0.926538+0.042391
## [188] train-mlogloss:0.035154+0.002115 test-mlogloss:0.927111+0.042579
## [189] train-mlogloss:0.034813+0.002186 test-mlogloss:0.928270+0.044143
## [190] train-mlogloss:0.034391+0.002157 test-mlogloss:0.929041+0.044886
## [191] train-mlogloss:0.033999+0.002236 test-mlogloss:0.930990+0.044763
## [192] train-mlogloss:0.033701+0.002319 test-mlogloss:0.931899+0.044553
## [193] train-mlogloss:0.033341+0.002262 test-mlogloss:0.934010+0.043697
## [194] train-mlogloss:0.032975+0.002289 test-mlogloss:0.935558+0.043341
## [195] train-mlogloss:0.032574+0.002263 test-mlogloss:0.936439+0.042105
## [196] train-mlogloss:0.032211+0.002308 test-mlogloss:0.937808+0.042323
## [197] train-mlogloss:0.031934+0.002311 test-mlogloss:0.938463+0.042489
## [198] train-mlogloss:0.031617+0.002361 test-mlogloss:0.939790+0.043000
## [199] train-mlogloss:0.031235+0.002255 test-mlogloss:0.940717+0.043324
## [200] train-mlogloss:0.030889+0.002191 test-mlogloss:0.941870+0.043567
## [201] train-mlogloss:0.030619+0.002075 test-mlogloss:0.943449+0.043952
## [202] train-mlogloss:0.030291+0.001874 test-mlogloss:0.943901+0.043838
## [203] train-mlogloss:0.029968+0.001877 test-mlogloss:0.946230+0.044110
## [204] train-mlogloss:0.029627+0.001931 test-mlogloss:0.947084+0.043211
## [205] train-mlogloss:0.029301+0.001900 test-mlogloss:0.948265+0.042938
## [206] train-mlogloss:0.028990+0.001845 test-mlogloss:0.950350+0.043308
## [207] train-mlogloss:0.028662+0.001785 test-mlogloss:0.951173+0.043535
## [208] train-mlogloss:0.028344+0.001832 test-mlogloss:0.952592+0.043888
## [209] train-mlogloss:0.028071+0.001932 test-mlogloss:0.953497+0.043217
## [210] train-mlogloss:0.027877+0.001964 test-mlogloss:0.954401+0.042820
## [211] train-mlogloss:0.027582+0.001947 test-mlogloss:0.955787+0.043285
## [212] train-mlogloss:0.027259+0.001987 test-mlogloss:0.957550+0.043409
## [213] train-mlogloss:0.027022+0.002021 test-mlogloss:0.957455+0.044115
## [214] train-mlogloss:0.026829+0.002003 test-mlogloss:0.958771+0.044033
## [215] train-mlogloss:0.026538+0.002090 test-mlogloss:0.961470+0.044600
## [216] train-mlogloss:0.026272+0.002116 test-mlogloss:0.962542+0.043976
## [217] train-mlogloss:0.026050+0.002137 test-mlogloss:0.963890+0.044287
## [218] train-mlogloss:0.025782+0.002189 test-mlogloss:0.965622+0.044474
## [219] train-mlogloss:0.025573+0.002180 test-mlogloss:0.966126+0.044358
## [220] train-mlogloss:0.025289+0.002167 test-mlogloss:0.967078+0.043339
## [221] train-mlogloss:0.025103+0.002215 test-mlogloss:0.968499+0.043986
## [222] train-mlogloss:0.024872+0.002079 test-mlogloss:0.968968+0.044052
## [223] train-mlogloss:0.024622+0.001986 test-mlogloss:0.969831+0.044692
## [224] train-mlogloss:0.024365+0.001946 test-mlogloss:0.970636+0.044564
## [225] train-mlogloss:0.024136+0.001936 test-mlogloss:0.971627+0.045171
## [226] train-mlogloss:0.023875+0.001807 test-mlogloss:0.972770+0.044604
## [227] train-mlogloss:0.023630+0.001794 test-mlogloss:0.973575+0.044103
## [228] train-mlogloss:0.023434+0.001706 test-mlogloss:0.974480+0.043729
## [229] train-mlogloss:0.023149+0.001728 test-mlogloss:0.976182+0.043571
## [230] train-mlogloss:0.022960+0.001756 test-mlogloss:0.976816+0.043330
## [231] train-mlogloss:0.022740+0.001799 test-mlogloss:0.978387+0.043132
## [232] train-mlogloss:0.022477+0.001835 test-mlogloss:0.978771+0.043208
## [233] train-mlogloss:0.022219+0.001798 test-mlogloss:0.980277+0.043720
## [234] train-mlogloss:0.022025+0.001765 test-mlogloss:0.980332+0.043152
## [235] train-mlogloss:0.021846+0.001818 test-mlogloss:0.982117+0.043104
## [236] train-mlogloss:0.021605+0.001792 test-mlogloss:0.984897+0.043368
## [237] train-mlogloss:0.021375+0.001724 test-mlogloss:0.987046+0.043024
## [238] train-mlogloss:0.021168+0.001730 test-mlogloss:0.988118+0.042472
## [239] train-mlogloss:0.020988+0.001687 test-mlogloss:0.989172+0.041922
## [240] train-mlogloss:0.020745+0.001611 test-mlogloss:0.990251+0.041767
## [241] train-mlogloss:0.020599+0.001582 test-mlogloss:0.991353+0.042316
## [242] train-mlogloss:0.020372+0.001534 test-mlogloss:0.991923+0.043187
## [243] train-mlogloss:0.020213+0.001479 test-mlogloss:0.992893+0.043411
## [244] train-mlogloss:0.020009+0.001418 test-mlogloss:0.994974+0.043058
## [245] train-mlogloss:0.019830+0.001422 test-mlogloss:0.995870+0.043409
## [246] train-mlogloss:0.019650+0.001434 test-mlogloss:0.996826+0.045036
## [247] train-mlogloss:0.019527+0.001433 test-mlogloss:0.997613+0.043907
## [248] train-mlogloss:0.019337+0.001398 test-mlogloss:0.999333+0.043643
## [249] train-mlogloss:0.019177+0.001387 test-mlogloss:1.001643+0.043191
## [250] train-mlogloss:0.018994+0.001397 test-mlogloss:1.002695+0.043928
## [251] train-mlogloss:0.018772+0.001364 test-mlogloss:1.004425+0.043909
## [252] train-mlogloss:0.018598+0.001417 test-mlogloss:1.006147+0.045115
## [253] train-mlogloss:0.018395+0.001406 test-mlogloss:1.007300+0.044969
## [254] train-mlogloss:0.018240+0.001399 test-mlogloss:1.008281+0.045482
## [255] train-mlogloss:0.018085+0.001341 test-mlogloss:1.009387+0.045770
## [256] train-mlogloss:0.017932+0.001338 test-mlogloss:1.011130+0.046551
## [257] train-mlogloss:0.017795+0.001352 test-mlogloss:1.012534+0.046361
## [258] train-mlogloss:0.017637+0.001388 test-mlogloss:1.013223+0.046250
## [259] train-mlogloss:0.017435+0.001429 test-mlogloss:1.015051+0.046901
## [260] train-mlogloss:0.017256+0.001391 test-mlogloss:1.015789+0.046812
## [261] train-mlogloss:0.017124+0.001381 test-mlogloss:1.016855+0.047033
## [262] train-mlogloss:0.016998+0.001355 test-mlogloss:1.017679+0.047104
## [263] train-mlogloss:0.016855+0.001302 test-mlogloss:1.019540+0.046466
## [264] train-mlogloss:0.016742+0.001318 test-mlogloss:1.020994+0.045347
## [265] train-mlogloss:0.016639+0.001351 test-mlogloss:1.021651+0.044912
## [266] train-mlogloss:0.016522+0.001333 test-mlogloss:1.021692+0.044767
## [267] train-mlogloss:0.016451+0.001324 test-mlogloss:1.022401+0.044231
## [268] train-mlogloss:0.016344+0.001316 test-mlogloss:1.023203+0.045309
## [269] train-mlogloss:0.016215+0.001287 test-mlogloss:1.024282+0.045469
## [270] train-mlogloss:0.016080+0.001300 test-mlogloss:1.025790+0.045487
## [271] train-mlogloss:0.015986+0.001314 test-mlogloss:1.026358+0.045079
## [272] train-mlogloss:0.015788+0.001289 test-mlogloss:1.027511+0.045083
## [273] train-mlogloss:0.015666+0.001309 test-mlogloss:1.029219+0.045059
## [274] train-mlogloss:0.015563+0.001324 test-mlogloss:1.030297+0.044984
## [275] train-mlogloss:0.015440+0.001332 test-mlogloss:1.032176+0.044861
## [276] train-mlogloss:0.015337+0.001295 test-mlogloss:1.033108+0.045104
## [277] train-mlogloss:0.015203+0.001298 test-mlogloss:1.033586+0.044926
## [278] train-mlogloss:0.015066+0.001345 test-mlogloss:1.034998+0.045962
## [279] train-mlogloss:0.014963+0.001373 test-mlogloss:1.035646+0.045728
## [280] train-mlogloss:0.014875+0.001371 test-mlogloss:1.036374+0.045763
## [281] train-mlogloss:0.014776+0.001342 test-mlogloss:1.036922+0.045851
## [282] train-mlogloss:0.014631+0.001306 test-mlogloss:1.037975+0.046372
## [283] train-mlogloss:0.014509+0.001322 test-mlogloss:1.040142+0.046539
## [284] train-mlogloss:0.014392+0.001315 test-mlogloss:1.040802+0.046290
## [285] train-mlogloss:0.014272+0.001315 test-mlogloss:1.042843+0.045943
## [286] train-mlogloss:0.014145+0.001270 test-mlogloss:1.042623+0.046463
## [287] train-mlogloss:0.014020+0.001226 test-mlogloss:1.044300+0.046326
## [288] train-mlogloss:0.013925+0.001216 test-mlogloss:1.045023+0.046117
## [289] train-mlogloss:0.013841+0.001219 test-mlogloss:1.045654+0.046062
## [290] train-mlogloss:0.013726+0.001183 test-mlogloss:1.046939+0.047735
## [291] train-mlogloss:0.013611+0.001152 test-mlogloss:1.048366+0.046935
## [292] train-mlogloss:0.013495+0.001123 test-mlogloss:1.049299+0.046735
## [293] train-mlogloss:0.013431+0.001110 test-mlogloss:1.051132+0.046214
## [294] train-mlogloss:0.013324+0.001080 test-mlogloss:1.051975+0.045607
## [295] train-mlogloss:0.013193+0.001061 test-mlogloss:1.052995+0.045141
## [296] train-mlogloss:0.013085+0.001041 test-mlogloss:1.053743+0.044814
## [297] train-mlogloss:0.013014+0.001015 test-mlogloss:1.054979+0.044948
## [298] train-mlogloss:0.012923+0.001006 test-mlogloss:1.055979+0.044681
## [299] train-mlogloss:0.012845+0.001009 test-mlogloss:1.056907+0.044305
## [300] train-mlogloss:0.012731+0.001015 test-mlogloss:1.057089+0.045206
## [301] train-mlogloss:0.012634+0.001014 test-mlogloss:1.057771+0.045534
## [302] train-mlogloss:0.012528+0.000994 test-mlogloss:1.058432+0.045223
## [303] train-mlogloss:0.012441+0.000966 test-mlogloss:1.059527+0.044734
## [304] train-mlogloss:0.012332+0.000934 test-mlogloss:1.060226+0.044628
## [305] train-mlogloss:0.012200+0.000940 test-mlogloss:1.062169+0.045019
## [306] train-mlogloss:0.012101+0.000954 test-mlogloss:1.062896+0.045999
## [307] train-mlogloss:0.011974+0.000903 test-mlogloss:1.064182+0.045801
## [308] train-mlogloss:0.011897+0.000912 test-mlogloss:1.065430+0.046234
## [309] train-mlogloss:0.011808+0.000881 test-mlogloss:1.065786+0.046621
## [310] train-mlogloss:0.011727+0.000858 test-mlogloss:1.066992+0.047046
## [311] train-mlogloss:0.011638+0.000876 test-mlogloss:1.067603+0.047025
## [312] train-mlogloss:0.011535+0.000892 test-mlogloss:1.068997+0.047717
## [313] train-mlogloss:0.011474+0.000910 test-mlogloss:1.070065+0.048124
## [314] train-mlogloss:0.011411+0.000903 test-mlogloss:1.070793+0.047899
## [315] train-mlogloss:0.011312+0.000920 test-mlogloss:1.072099+0.048013
## [316] train-mlogloss:0.011274+0.000939 test-mlogloss:1.073020+0.048335
## [317] train-mlogloss:0.011219+0.000954 test-mlogloss:1.074463+0.048542
## [318] train-mlogloss:0.011164+0.000973 test-mlogloss:1.074660+0.048345
## [319] train-mlogloss:0.011103+0.000983 test-mlogloss:1.075749+0.048346
## [320] train-mlogloss:0.011038+0.000986 test-mlogloss:1.076909+0.048732
## [321] train-mlogloss:0.010924+0.000954 test-mlogloss:1.077786+0.048795
## [322] train-mlogloss:0.010823+0.000929 test-mlogloss:1.078446+0.049209
## [323] train-mlogloss:0.010752+0.000929 test-mlogloss:1.079289+0.048858
## [324] train-mlogloss:0.010680+0.000926 test-mlogloss:1.081259+0.049895
## [325] train-mlogloss:0.010600+0.000915 test-mlogloss:1.082017+0.051105
## [326] train-mlogloss:0.010533+0.000902 test-mlogloss:1.083530+0.050750
## [327] train-mlogloss:0.010466+0.000882 test-mlogloss:1.083954+0.051482
## [328] train-mlogloss:0.010396+0.000880 test-mlogloss:1.085892+0.052143
## [329] train-mlogloss:0.010324+0.000871 test-mlogloss:1.086979+0.052999
## [330] train-mlogloss:0.010261+0.000845 test-mlogloss:1.087506+0.053106
## [331] train-mlogloss:0.010207+0.000841 test-mlogloss:1.087942+0.053087
## [332] train-mlogloss:0.010144+0.000831 test-mlogloss:1.088254+0.053061
## [333] train-mlogloss:0.010054+0.000823 test-mlogloss:1.088992+0.053283
## [334] train-mlogloss:0.009999+0.000797 test-mlogloss:1.089269+0.053351
## [335] train-mlogloss:0.009931+0.000775 test-mlogloss:1.090814+0.053447
## [336] train-mlogloss:0.009843+0.000773 test-mlogloss:1.091950+0.053784
## [337] train-mlogloss:0.009796+0.000775 test-mlogloss:1.092572+0.054111
## [338] train-mlogloss:0.009728+0.000773 test-mlogloss:1.092825+0.054493
## [339] train-mlogloss:0.009664+0.000745 test-mlogloss:1.094236+0.053839
## [340] train-mlogloss:0.009612+0.000752 test-mlogloss:1.095270+0.053973
## [341] train-mlogloss:0.009548+0.000725 test-mlogloss:1.096049+0.054322
## [342] train-mlogloss:0.009480+0.000721 test-mlogloss:1.096428+0.054143
## [343] train-mlogloss:0.009423+0.000718 test-mlogloss:1.096644+0.053849
## [344] train-mlogloss:0.009369+0.000752 test-mlogloss:1.096991+0.053337
## [345] train-mlogloss:0.009318+0.000741 test-mlogloss:1.097530+0.053117
## [346] train-mlogloss:0.009259+0.000740 test-mlogloss:1.098916+0.052869
## [347] train-mlogloss:0.009207+0.000742 test-mlogloss:1.099856+0.053726
## [348] train-mlogloss:0.009166+0.000743 test-mlogloss:1.100401+0.054328
## [349] train-mlogloss:0.009113+0.000750 test-mlogloss:1.101776+0.054889
## [350] train-mlogloss:0.009061+0.000749 test-mlogloss:1.102354+0.055506
## [351] train-mlogloss:0.009010+0.000748 test-mlogloss:1.103227+0.055530
## [352] train-mlogloss:0.008971+0.000730 test-mlogloss:1.104074+0.055847
## [353] train-mlogloss:0.008941+0.000717 test-mlogloss:1.104754+0.055181
## [354] train-mlogloss:0.008894+0.000706 test-mlogloss:1.105286+0.055192
## [355] train-mlogloss:0.008842+0.000697 test-mlogloss:1.106362+0.055104
## [356] train-mlogloss:0.008798+0.000692 test-mlogloss:1.106473+0.054829
## [357] train-mlogloss:0.008755+0.000689 test-mlogloss:1.107314+0.055026
## [358] train-mlogloss:0.008711+0.000689 test-mlogloss:1.107579+0.054811
## [359] train-mlogloss:0.008661+0.000670 test-mlogloss:1.108730+0.055037
## [360] train-mlogloss:0.008625+0.000666 test-mlogloss:1.109161+0.055063
## [361] train-mlogloss:0.008594+0.000682 test-mlogloss:1.109626+0.055329
## [362] train-mlogloss:0.008561+0.000674 test-mlogloss:1.110223+0.055019
## [363] train-mlogloss:0.008528+0.000675 test-mlogloss:1.110882+0.055086
## [364] train-mlogloss:0.008492+0.000678 test-mlogloss:1.110963+0.055313
## [365] train-mlogloss:0.008450+0.000661 test-mlogloss:1.111466+0.055366
## [366] train-mlogloss:0.008389+0.000645 test-mlogloss:1.112397+0.055888
## [367] train-mlogloss:0.008350+0.000635 test-mlogloss:1.112540+0.055479
## [368] train-mlogloss:0.008296+0.000631 test-mlogloss:1.113268+0.054460
## [369] train-mlogloss:0.008241+0.000618 test-mlogloss:1.113365+0.054827
## [370] train-mlogloss:0.008186+0.000611 test-mlogloss:1.114246+0.055100
## [371] train-mlogloss:0.008140+0.000621 test-mlogloss:1.115271+0.054453
## [372] train-mlogloss:0.008082+0.000607 test-mlogloss:1.116036+0.054087
## [373] train-mlogloss:0.008034+0.000598 test-mlogloss:1.116401+0.054208
## [374] train-mlogloss:0.007997+0.000597 test-mlogloss:1.117606+0.054224
## [375] train-mlogloss:0.007970+0.000586 test-mlogloss:1.118033+0.054578
## [376] train-mlogloss:0.007916+0.000581 test-mlogloss:1.118496+0.054856
## [377] train-mlogloss:0.007855+0.000579 test-mlogloss:1.119852+0.054820
## [378] train-mlogloss:0.007816+0.000560 test-mlogloss:1.120310+0.055537
## [379] train-mlogloss:0.007792+0.000560 test-mlogloss:1.120449+0.055271
## [380] train-mlogloss:0.007756+0.000547 test-mlogloss:1.121155+0.055665
## [381] train-mlogloss:0.007703+0.000531 test-mlogloss:1.122015+0.055482
## [382] train-mlogloss:0.007661+0.000523 test-mlogloss:1.123009+0.056295
## [383] train-mlogloss:0.007631+0.000513 test-mlogloss:1.123991+0.056111
## [384] train-mlogloss:0.007580+0.000489 test-mlogloss:1.125120+0.056122
## [385] train-mlogloss:0.007543+0.000477 test-mlogloss:1.125835+0.056416
## [386] train-mlogloss:0.007483+0.000463 test-mlogloss:1.127453+0.056330
## [387] train-mlogloss:0.007448+0.000453 test-mlogloss:1.129228+0.055008
## [388] train-mlogloss:0.007409+0.000454 test-mlogloss:1.129585+0.054605
## [389] train-mlogloss:0.007370+0.000454 test-mlogloss:1.130273+0.054452
## [390] train-mlogloss:0.007314+0.000439 test-mlogloss:1.131529+0.054657
## [391] train-mlogloss:0.007268+0.000418 test-mlogloss:1.132303+0.053702
## [392] train-mlogloss:0.007208+0.000427 test-mlogloss:1.133757+0.054073
## [393] train-mlogloss:0.007160+0.000412 test-mlogloss:1.134973+0.053486
## [394] train-mlogloss:0.007109+0.000411 test-mlogloss:1.134964+0.053255
## [395] train-mlogloss:0.007066+0.000414 test-mlogloss:1.136204+0.053411
## [396] train-mlogloss:0.007021+0.000410 test-mlogloss:1.136947+0.052711
## [397] train-mlogloss:0.006979+0.000407 test-mlogloss:1.138146+0.052854
## [398] train-mlogloss:0.006925+0.000397 test-mlogloss:1.139450+0.052724
## [399] train-mlogloss:0.006885+0.000389 test-mlogloss:1.140023+0.052232
## [400] train-mlogloss:0.006859+0.000384 test-mlogloss:1.141258+0.052781
## [401] train-mlogloss:0.006826+0.000372 test-mlogloss:1.141764+0.052905
## [402] train-mlogloss:0.006800+0.000380 test-mlogloss:1.142800+0.052638
## [403] train-mlogloss:0.006772+0.000377 test-mlogloss:1.143543+0.052304
## [404] train-mlogloss:0.006733+0.000373 test-mlogloss:1.144189+0.052652
## [405] train-mlogloss:0.006704+0.000371 test-mlogloss:1.144523+0.052673
## [406] train-mlogloss:0.006690+0.000373 test-mlogloss:1.145027+0.052492
## [407] train-mlogloss:0.006647+0.000359 test-mlogloss:1.145848+0.052971
## [408] train-mlogloss:0.006616+0.000353 test-mlogloss:1.146774+0.052628
## [409] train-mlogloss:0.006585+0.000336 test-mlogloss:1.147205+0.052265
## [410] train-mlogloss:0.006554+0.000338 test-mlogloss:1.148057+0.052733
## [411] train-mlogloss:0.006516+0.000332 test-mlogloss:1.148491+0.052569
## [412] train-mlogloss:0.006490+0.000331 test-mlogloss:1.148769+0.052921
## [413] train-mlogloss:0.006452+0.000324 test-mlogloss:1.149180+0.052777
## [414] train-mlogloss:0.006426+0.000327 test-mlogloss:1.149767+0.052413
## [415] train-mlogloss:0.006400+0.000317 test-mlogloss:1.150318+0.052713
## [416] train-mlogloss:0.006368+0.000303 test-mlogloss:1.151484+0.052282
## [417] train-mlogloss:0.006340+0.000293 test-mlogloss:1.152673+0.052367
## [418] train-mlogloss:0.006313+0.000302 test-mlogloss:1.153247+0.052545
## [419] train-mlogloss:0.006285+0.000295 test-mlogloss:1.153703+0.052267
## [420] train-mlogloss:0.006253+0.000291 test-mlogloss:1.154369+0.051915
## [421] train-mlogloss:0.006217+0.000286 test-mlogloss:1.155417+0.051420
## [422] train-mlogloss:0.006192+0.000280 test-mlogloss:1.156013+0.051735
## [423] train-mlogloss:0.006169+0.000278 test-mlogloss:1.156699+0.051662
## [424] train-mlogloss:0.006156+0.000279 test-mlogloss:1.157048+0.051380
## [425] train-mlogloss:0.006131+0.000289 test-mlogloss:1.157627+0.051029
## [426] train-mlogloss:0.006108+0.000282 test-mlogloss:1.158205+0.050811
## [427] train-mlogloss:0.006085+0.000285 test-mlogloss:1.158988+0.051144
## [428] train-mlogloss:0.006060+0.000287 test-mlogloss:1.159073+0.050844
## [429] train-mlogloss:0.006028+0.000293 test-mlogloss:1.159817+0.050868
## [430] train-mlogloss:0.006003+0.000288 test-mlogloss:1.161120+0.051598
## [431] train-mlogloss:0.005986+0.000288 test-mlogloss:1.160990+0.051461
## [432] train-mlogloss:0.005960+0.000284 test-mlogloss:1.161619+0.051069
## [433] train-mlogloss:0.005941+0.000291 test-mlogloss:1.162207+0.051435
## [434] train-mlogloss:0.005916+0.000284 test-mlogloss:1.162536+0.051261
## [435] train-mlogloss:0.005899+0.000283 test-mlogloss:1.162797+0.051154
## [436] train-mlogloss:0.005884+0.000286 test-mlogloss:1.163093+0.050619
## [437] train-mlogloss:0.005852+0.000284 test-mlogloss:1.163311+0.050904
## [438] train-mlogloss:0.005819+0.000275 test-mlogloss:1.164772+0.051149
## [439] train-mlogloss:0.005801+0.000276 test-mlogloss:1.165403+0.051018
## [440] train-mlogloss:0.005775+0.000266 test-mlogloss:1.165915+0.051293
## [441] train-mlogloss:0.005740+0.000272 test-mlogloss:1.166069+0.051970
## [442] train-mlogloss:0.005717+0.000261 test-mlogloss:1.167473+0.051786
## [443] train-mlogloss:0.005684+0.000251 test-mlogloss:1.168432+0.050806
## [444] train-mlogloss:0.005655+0.000243 test-mlogloss:1.169321+0.051431
## [445] train-mlogloss:0.005633+0.000245 test-mlogloss:1.170562+0.051909
## [446] train-mlogloss:0.005610+0.000242 test-mlogloss:1.171486+0.051435
## [447] train-mlogloss:0.005585+0.000233 test-mlogloss:1.172311+0.050966
## [448] train-mlogloss:0.005567+0.000227 test-mlogloss:1.173324+0.051202
## [449] train-mlogloss:0.005549+0.000224 test-mlogloss:1.173987+0.051095
## [450] train-mlogloss:0.005534+0.000219 test-mlogloss:1.175086+0.051103
## [451] train-mlogloss:0.005515+0.000218 test-mlogloss:1.175725+0.050952
## [452] train-mlogloss:0.005490+0.000215 test-mlogloss:1.176034+0.051213
## [453] train-mlogloss:0.005465+0.000212 test-mlogloss:1.177256+0.051448
## [454] train-mlogloss:0.005446+0.000217 test-mlogloss:1.177375+0.051297
## [455] train-mlogloss:0.005434+0.000215 test-mlogloss:1.177917+0.051315
## [456] train-mlogloss:0.005412+0.000215 test-mlogloss:1.178597+0.050894
## [457] train-mlogloss:0.005382+0.000212 test-mlogloss:1.179252+0.051076
## [458] train-mlogloss:0.005360+0.000219 test-mlogloss:1.179604+0.051487
## [459] train-mlogloss:0.005345+0.000224 test-mlogloss:1.180475+0.051862
## [460] train-mlogloss:0.005323+0.000220 test-mlogloss:1.180201+0.051938
## [461] train-mlogloss:0.005298+0.000217 test-mlogloss:1.180956+0.052301
## [462] train-mlogloss:0.005276+0.000214 test-mlogloss:1.181858+0.052097
## [463] train-mlogloss:0.005265+0.000215 test-mlogloss:1.182880+0.052805
## [464] train-mlogloss:0.005247+0.000220 test-mlogloss:1.183204+0.053205
## [465] train-mlogloss:0.005226+0.000212 test-mlogloss:1.184186+0.054068
## [466] train-mlogloss:0.005204+0.000209 test-mlogloss:1.184944+0.053952
## [467] train-mlogloss:0.005180+0.000213 test-mlogloss:1.186426+0.054722
## [468] train-mlogloss:0.005152+0.000209 test-mlogloss:1.187863+0.055542
## [469] train-mlogloss:0.005133+0.000213 test-mlogloss:1.187827+0.055380
## [470] train-mlogloss:0.005116+0.000217 test-mlogloss:1.187687+0.054896
## [471] train-mlogloss:0.005093+0.000214 test-mlogloss:1.189071+0.054728
## [472] train-mlogloss:0.005069+0.000210 test-mlogloss:1.189309+0.054202
## [473] train-mlogloss:0.005050+0.000205 test-mlogloss:1.189526+0.054240
## [474] train-mlogloss:0.005034+0.000204 test-mlogloss:1.189511+0.054396
## [475] train-mlogloss:0.005006+0.000202 test-mlogloss:1.190358+0.053995
## [476] train-mlogloss:0.004983+0.000203 test-mlogloss:1.191147+0.053753
## [477] train-mlogloss:0.004963+0.000193 test-mlogloss:1.191803+0.053771
## [478] train-mlogloss:0.004949+0.000185 test-mlogloss:1.191965+0.053641
## [479] train-mlogloss:0.004932+0.000184 test-mlogloss:1.192330+0.053429
## [480] train-mlogloss:0.004911+0.000183 test-mlogloss:1.192743+0.053382
## [481] train-mlogloss:0.004896+0.000186 test-mlogloss:1.192912+0.052879
## [482] train-mlogloss:0.004879+0.000191 test-mlogloss:1.193589+0.053426
## [483] train-mlogloss:0.004861+0.000185 test-mlogloss:1.193721+0.053084
## [484] train-mlogloss:0.004838+0.000176 test-mlogloss:1.194651+0.053576
## [485] train-mlogloss:0.004826+0.000174 test-mlogloss:1.194955+0.053559
## [486] train-mlogloss:0.004814+0.000176 test-mlogloss:1.195954+0.053493
## [487] train-mlogloss:0.004793+0.000179 test-mlogloss:1.196871+0.053944
## [488] train-mlogloss:0.004778+0.000184 test-mlogloss:1.197534+0.054343
## [489] train-mlogloss:0.004761+0.000184 test-mlogloss:1.197759+0.054405
## [490] train-mlogloss:0.004740+0.000188 test-mlogloss:1.198563+0.054670
## [491] train-mlogloss:0.004720+0.000190 test-mlogloss:1.198680+0.054534
## [492] train-mlogloss:0.004696+0.000190 test-mlogloss:1.199093+0.055788
## [493] train-mlogloss:0.004677+0.000190 test-mlogloss:1.199816+0.055096
## [494] train-mlogloss:0.004662+0.000187 test-mlogloss:1.200421+0.054977
## [495] train-mlogloss:0.004643+0.000185 test-mlogloss:1.200670+0.055043
## [496] train-mlogloss:0.004626+0.000180 test-mlogloss:1.200472+0.055110
## [497] train-mlogloss:0.004606+0.000188 test-mlogloss:1.201603+0.055465
## [498] train-mlogloss:0.004588+0.000186 test-mlogloss:1.201666+0.055027
## [499] train-mlogloss:0.004572+0.000188 test-mlogloss:1.202699+0.055652
## [500] train-mlogloss:0.004555+0.000185 test-mlogloss:1.203095+0.055834
## [1] train-mlogloss:0.308657+0.001692 test-mlogloss:0.647084+0.012360
## [2] train-mlogloss:0.184959+0.002498 test-mlogloss:0.664001+0.018124
## [3] train-mlogloss:0.122838+0.001651 test-mlogloss:0.687017+0.025434
## [4] train-mlogloss:0.089493+0.001162 test-mlogloss:0.708287+0.030072
## [5] train-mlogloss:0.069543+0.001409 test-mlogloss:0.730845+0.030243
## [6] train-mlogloss:0.056783+0.002239 test-mlogloss:0.746950+0.031329
## [7] train-mlogloss:0.047752+0.001583 test-mlogloss:0.762121+0.036883
## [8] train-mlogloss:0.041929+0.001243 test-mlogloss:0.777899+0.037271
## [9] train-mlogloss:0.036284+0.000855 test-mlogloss:0.792610+0.038072
## [10] train-mlogloss:0.031869+0.000505 test-mlogloss:0.804052+0.040800
## [11] train-mlogloss:0.028289+0.000407 test-mlogloss:0.818247+0.043190
## [12] train-mlogloss:0.025540+0.000346 test-mlogloss:0.828468+0.041559
## [13] train-mlogloss:0.023206+0.000244 test-mlogloss:0.838727+0.042641
## [14] train-mlogloss:0.021254+0.000257 test-mlogloss:0.845314+0.040883
## [15] train-mlogloss:0.020133+0.000396 test-mlogloss:0.852318+0.040541
## [16] train-mlogloss:0.018741+0.000499 test-mlogloss:0.859436+0.043129
## [17] train-mlogloss:0.017443+0.000402 test-mlogloss:0.867205+0.044634
## [18] train-mlogloss:0.016350+0.000374 test-mlogloss:0.874020+0.045175
## [19] train-mlogloss:0.015522+0.000245 test-mlogloss:0.878577+0.042872
## [20] train-mlogloss:0.014690+0.000230 test-mlogloss:0.883417+0.043407
## [21] train-mlogloss:0.014051+0.000302 test-mlogloss:0.888809+0.046368
## [22] train-mlogloss:0.013332+0.000271 test-mlogloss:0.896030+0.046175
## [23] train-mlogloss:0.012685+0.000234 test-mlogloss:0.901512+0.047161
## [24] train-mlogloss:0.012145+0.000197 test-mlogloss:0.906502+0.047942
## [25] train-mlogloss:0.011639+0.000174 test-mlogloss:0.909647+0.049852
## [26] train-mlogloss:0.011167+0.000142 test-mlogloss:0.914318+0.049215
## [27] train-mlogloss:0.010757+0.000107 test-mlogloss:0.918710+0.049658
## [28] train-mlogloss:0.010377+0.000102 test-mlogloss:0.922513+0.050619
## [29] train-mlogloss:0.010012+0.000070 test-mlogloss:0.926078+0.051623
## [30] train-mlogloss:0.009694+0.000063 test-mlogloss:0.930998+0.052744
## [31] train-mlogloss:0.009378+0.000074 test-mlogloss:0.934208+0.052528
## [32] train-mlogloss:0.009089+0.000070 test-mlogloss:0.938741+0.052837
## [33] train-mlogloss:0.008808+0.000062 test-mlogloss:0.940857+0.052872
## [34] train-mlogloss:0.008548+0.000072 test-mlogloss:0.943721+0.052888
## [35] train-mlogloss:0.008307+0.000071 test-mlogloss:0.946649+0.053122
## [36] train-mlogloss:0.008087+0.000082 test-mlogloss:0.950810+0.053515
## [37] train-mlogloss:0.007878+0.000077 test-mlogloss:0.955014+0.055086
## [38] train-mlogloss:0.007681+0.000075 test-mlogloss:0.957948+0.055068
## [39] train-mlogloss:0.007491+0.000081 test-mlogloss:0.961821+0.055071
## [40] train-mlogloss:0.007313+0.000085 test-mlogloss:0.962678+0.055303
## [41] train-mlogloss:0.007147+0.000073 test-mlogloss:0.965356+0.055592
## [42] train-mlogloss:0.006995+0.000073 test-mlogloss:0.967389+0.055843
## [43] train-mlogloss:0.006848+0.000076 test-mlogloss:0.970326+0.054323
## [44] train-mlogloss:0.006701+0.000075 test-mlogloss:0.973313+0.054886
## [45] train-mlogloss:0.006563+0.000077 test-mlogloss:0.974898+0.054788
## [46] train-mlogloss:0.006430+0.000077 test-mlogloss:0.977927+0.054711
## [47] train-mlogloss:0.006301+0.000075 test-mlogloss:0.980570+0.054241
## [48] train-mlogloss:0.006183+0.000076 test-mlogloss:0.984242+0.054032
## [49] train-mlogloss:0.006066+0.000076 test-mlogloss:0.987487+0.052905
## [50] train-mlogloss:0.005958+0.000066 test-mlogloss:0.990168+0.053819
## [51] train-mlogloss:0.005853+0.000068 test-mlogloss:0.992189+0.053217
## [52] train-mlogloss:0.005752+0.000064 test-mlogloss:0.994870+0.054205
## [53] train-mlogloss:0.005654+0.000053 test-mlogloss:0.997415+0.054251
## [54] train-mlogloss:0.005561+0.000053 test-mlogloss:0.999224+0.054405
## [55] train-mlogloss:0.005475+0.000055 test-mlogloss:1.001361+0.054760
## [56] train-mlogloss:0.005381+0.000050 test-mlogloss:1.002773+0.054616
## [57] train-mlogloss:0.005300+0.000049 test-mlogloss:1.004653+0.054839
## [58] train-mlogloss:0.005225+0.000047 test-mlogloss:1.005894+0.055590
## [59] train-mlogloss:0.005151+0.000048 test-mlogloss:1.008137+0.055852
## [60] train-mlogloss:0.005076+0.000045 test-mlogloss:1.010377+0.056177
## [61] train-mlogloss:0.005004+0.000042 test-mlogloss:1.012015+0.056512
## [62] train-mlogloss:0.004940+0.000041 test-mlogloss:1.013271+0.057644
## [63] train-mlogloss:0.004875+0.000043 test-mlogloss:1.016305+0.057715
## [64] train-mlogloss:0.004809+0.000043 test-mlogloss:1.017983+0.057911
## [65] train-mlogloss:0.004745+0.000043 test-mlogloss:1.018873+0.058618
## [66] train-mlogloss:0.004685+0.000043 test-mlogloss:1.020486+0.058092
## [67] train-mlogloss:0.004626+0.000041 test-mlogloss:1.022377+0.058477
## [68] train-mlogloss:0.004571+0.000040 test-mlogloss:1.024099+0.058388
## [69] train-mlogloss:0.004519+0.000041 test-mlogloss:1.024946+0.058193
## [70] train-mlogloss:0.004465+0.000041 test-mlogloss:1.026552+0.058547
## [71] train-mlogloss:0.004415+0.000042 test-mlogloss:1.028460+0.058342
## [72] train-mlogloss:0.004364+0.000044 test-mlogloss:1.030019+0.058127
## [73] train-mlogloss:0.004316+0.000044 test-mlogloss:1.031222+0.057817
## [74] train-mlogloss:0.004270+0.000041 test-mlogloss:1.032798+0.057692
## [75] train-mlogloss:0.004223+0.000041 test-mlogloss:1.033911+0.057497
## [76] train-mlogloss:0.004179+0.000040 test-mlogloss:1.035201+0.057514
## [77] train-mlogloss:0.004139+0.000040 test-mlogloss:1.035936+0.057748
## [78] train-mlogloss:0.004095+0.000040 test-mlogloss:1.037065+0.057745
## [79] train-mlogloss:0.004053+0.000039 test-mlogloss:1.039245+0.057738
## [80] train-mlogloss:0.004012+0.000038 test-mlogloss:1.040450+0.058164
## [81] train-mlogloss:0.003972+0.000037 test-mlogloss:1.041838+0.057530
## [82] train-mlogloss:0.003934+0.000037 test-mlogloss:1.043650+0.058455
## [83] train-mlogloss:0.003897+0.000039 test-mlogloss:1.044400+0.058199
## [84] train-mlogloss:0.003858+0.000036 test-mlogloss:1.045161+0.058834
## [85] train-mlogloss:0.003825+0.000036 test-mlogloss:1.046135+0.058786
## [86] train-mlogloss:0.003789+0.000036 test-mlogloss:1.046655+0.058137
## [87] train-mlogloss:0.003755+0.000035 test-mlogloss:1.047864+0.058509
## [88] train-mlogloss:0.003722+0.000034 test-mlogloss:1.049155+0.058331
## [89] train-mlogloss:0.003691+0.000034 test-mlogloss:1.050495+0.058076
## [90] train-mlogloss:0.003659+0.000038 test-mlogloss:1.051463+0.057827
## [91] train-mlogloss:0.003629+0.000035 test-mlogloss:1.051832+0.057675
## [92] train-mlogloss:0.003598+0.000035 test-mlogloss:1.052868+0.057371
## [93] train-mlogloss:0.003569+0.000037 test-mlogloss:1.054277+0.056825
## [94] train-mlogloss:0.003540+0.000035 test-mlogloss:1.055895+0.056842
## [95] train-mlogloss:0.003511+0.000036 test-mlogloss:1.056812+0.057519
## [96] train-mlogloss:0.003484+0.000035 test-mlogloss:1.058151+0.057250
## [97] train-mlogloss:0.003458+0.000034 test-mlogloss:1.058997+0.056579
## [98] train-mlogloss:0.003432+0.000033 test-mlogloss:1.060030+0.056384
## [99] train-mlogloss:0.003406+0.000034 test-mlogloss:1.061226+0.056968
## [100] train-mlogloss:0.003381+0.000034 test-mlogloss:1.062028+0.056501
## [101] train-mlogloss:0.003357+0.000034 test-mlogloss:1.063150+0.056203
## [102] train-mlogloss:0.003331+0.000035 test-mlogloss:1.064251+0.056169
## [103] train-mlogloss:0.003308+0.000033 test-mlogloss:1.065140+0.056475
## [104] train-mlogloss:0.003283+0.000031 test-mlogloss:1.066277+0.056178
## [105] train-mlogloss:0.003260+0.000030 test-mlogloss:1.067573+0.056111
## [106] train-mlogloss:0.003235+0.000030 test-mlogloss:1.068571+0.056586
## [107] train-mlogloss:0.003211+0.000029 test-mlogloss:1.070083+0.056751
## [108] train-mlogloss:0.003189+0.000029 test-mlogloss:1.071493+0.056773
## [109] train-mlogloss:0.003168+0.000029 test-mlogloss:1.072304+0.056108
## [110] train-mlogloss:0.003146+0.000028 test-mlogloss:1.073100+0.055729
## [111] train-mlogloss:0.003125+0.000029 test-mlogloss:1.073372+0.055371
## [112] train-mlogloss:0.003105+0.000029 test-mlogloss:1.075124+0.055678
## [113] train-mlogloss:0.003084+0.000028 test-mlogloss:1.075872+0.055854
## [114] train-mlogloss:0.003063+0.000025 test-mlogloss:1.076136+0.056017
## [115] train-mlogloss:0.003043+0.000026 test-mlogloss:1.077326+0.056619
## [116] train-mlogloss:0.003024+0.000026 test-mlogloss:1.078388+0.057009
## [117] train-mlogloss:0.003003+0.000028 test-mlogloss:1.079301+0.056764
## [118] train-mlogloss:0.002986+0.000027 test-mlogloss:1.080639+0.056976
## [119] train-mlogloss:0.002968+0.000027 test-mlogloss:1.081517+0.057237
## [120] train-mlogloss:0.002951+0.000029 test-mlogloss:1.081894+0.057019
## [121] train-mlogloss:0.002932+0.000029 test-mlogloss:1.082595+0.057232
## [122] train-mlogloss:0.002916+0.000029 test-mlogloss:1.083333+0.057837
## [123] train-mlogloss:0.002901+0.000028 test-mlogloss:1.084211+0.057564
## [124] train-mlogloss:0.002882+0.000026 test-mlogloss:1.084440+0.057047
## [125] train-mlogloss:0.002866+0.000026 test-mlogloss:1.085758+0.056352
## [126] train-mlogloss:0.002849+0.000025 test-mlogloss:1.087182+0.056780
## [127] train-mlogloss:0.002832+0.000026 test-mlogloss:1.087769+0.057094
## [128] train-mlogloss:0.002818+0.000025 test-mlogloss:1.088346+0.057110
## [129] train-mlogloss:0.002802+0.000024 test-mlogloss:1.089233+0.056878
## [130] train-mlogloss:0.002787+0.000023 test-mlogloss:1.090524+0.057428
## [131] train-mlogloss:0.002774+0.000022 test-mlogloss:1.090903+0.057569
## [132] train-mlogloss:0.002759+0.000022 test-mlogloss:1.091985+0.057996
## [133] train-mlogloss:0.002745+0.000022 test-mlogloss:1.092998+0.058400
## [134] train-mlogloss:0.002731+0.000022 test-mlogloss:1.094369+0.058275
## [135] train-mlogloss:0.002717+0.000022 test-mlogloss:1.095487+0.057762
## [136] train-mlogloss:0.002703+0.000022 test-mlogloss:1.095946+0.057157
## [137] train-mlogloss:0.002691+0.000020 test-mlogloss:1.096232+0.057574
## [138] train-mlogloss:0.002678+0.000020 test-mlogloss:1.097108+0.057774
## [139] train-mlogloss:0.002666+0.000020 test-mlogloss:1.097826+0.057474
## [140] train-mlogloss:0.002653+0.000020 test-mlogloss:1.098169+0.057862
## [141] train-mlogloss:0.002639+0.000019 test-mlogloss:1.099016+0.057690
## [142] train-mlogloss:0.002626+0.000018 test-mlogloss:1.099869+0.057973
## [143] train-mlogloss:0.002613+0.000019 test-mlogloss:1.101232+0.058168
## [144] train-mlogloss:0.002600+0.000019 test-mlogloss:1.101941+0.057793
## [145] train-mlogloss:0.002588+0.000019 test-mlogloss:1.102936+0.057626
## [146] train-mlogloss:0.002574+0.000019 test-mlogloss:1.102520+0.057932
## [147] train-mlogloss:0.002562+0.000019 test-mlogloss:1.102630+0.058218
## [148] train-mlogloss:0.002550+0.000020 test-mlogloss:1.103961+0.058334
## [149] train-mlogloss:0.002538+0.000020 test-mlogloss:1.104519+0.058721
## [150] train-mlogloss:0.002527+0.000019 test-mlogloss:1.105537+0.058678
## [151] train-mlogloss:0.002515+0.000020 test-mlogloss:1.106270+0.059208
## [152] train-mlogloss:0.002504+0.000019 test-mlogloss:1.107408+0.059240
## [153] train-mlogloss:0.002493+0.000018 test-mlogloss:1.107899+0.059409
## [154] train-mlogloss:0.002482+0.000018 test-mlogloss:1.108394+0.059144
## [155] train-mlogloss:0.002471+0.000018 test-mlogloss:1.109106+0.058750
## [156] train-mlogloss:0.002460+0.000018 test-mlogloss:1.109560+0.058569
## [157] train-mlogloss:0.002448+0.000017 test-mlogloss:1.110227+0.058704
## [158] train-mlogloss:0.002437+0.000017 test-mlogloss:1.111070+0.058735
## [159] train-mlogloss:0.002427+0.000018 test-mlogloss:1.111491+0.059192
## [160] train-mlogloss:0.002416+0.000018 test-mlogloss:1.112934+0.059063
## [161] train-mlogloss:0.002407+0.000018 test-mlogloss:1.113854+0.059047
## [162] train-mlogloss:0.002397+0.000017 test-mlogloss:1.114600+0.058768
## [163] train-mlogloss:0.002386+0.000017 test-mlogloss:1.115700+0.058834
## [164] train-mlogloss:0.002377+0.000017 test-mlogloss:1.116630+0.058888
## [165] train-mlogloss:0.002366+0.000017 test-mlogloss:1.117006+0.059248
## [166] train-mlogloss:0.002357+0.000016 test-mlogloss:1.117300+0.059193
## [167] train-mlogloss:0.002346+0.000015 test-mlogloss:1.118276+0.058929
## [168] train-mlogloss:0.002337+0.000015 test-mlogloss:1.118899+0.058886
## [169] train-mlogloss:0.002328+0.000015 test-mlogloss:1.119506+0.058720
## [170] train-mlogloss:0.002319+0.000015 test-mlogloss:1.119885+0.058644
## [171] train-mlogloss:0.002310+0.000014 test-mlogloss:1.120568+0.058701
## [172] train-mlogloss:0.002302+0.000014 test-mlogloss:1.121368+0.058537
## [173] train-mlogloss:0.002292+0.000015 test-mlogloss:1.121673+0.059104
## [174] train-mlogloss:0.002283+0.000015 test-mlogloss:1.122383+0.058646
## [175] train-mlogloss:0.002273+0.000014 test-mlogloss:1.123579+0.058329
## [176] train-mlogloss:0.002265+0.000013 test-mlogloss:1.124336+0.058382
## [177] train-mlogloss:0.002256+0.000013 test-mlogloss:1.124962+0.058812
## [178] train-mlogloss:0.002248+0.000012 test-mlogloss:1.125345+0.058472
## [179] train-mlogloss:0.002239+0.000013 test-mlogloss:1.125795+0.059155
## [180] train-mlogloss:0.002231+0.000014 test-mlogloss:1.126328+0.059111
## [181] train-mlogloss:0.002223+0.000014 test-mlogloss:1.126727+0.059631
## [182] train-mlogloss:0.002214+0.000015 test-mlogloss:1.127624+0.059895
## [183] train-mlogloss:0.002206+0.000015 test-mlogloss:1.128582+0.059612
## [184] train-mlogloss:0.002198+0.000015 test-mlogloss:1.128987+0.059235
## [185] train-mlogloss:0.002189+0.000016 test-mlogloss:1.129748+0.059456
## [186] train-mlogloss:0.002181+0.000015 test-mlogloss:1.130348+0.059985
## [187] train-mlogloss:0.002173+0.000015 test-mlogloss:1.130539+0.059711
## [188] train-mlogloss:0.002165+0.000014 test-mlogloss:1.131080+0.060177
## [189] train-mlogloss:0.002158+0.000014 test-mlogloss:1.131934+0.060160
## [190] train-mlogloss:0.002149+0.000013 test-mlogloss:1.132446+0.060197
## [191] train-mlogloss:0.002143+0.000013 test-mlogloss:1.133302+0.060087
## [192] train-mlogloss:0.002136+0.000013 test-mlogloss:1.134034+0.060315
## [193] train-mlogloss:0.002129+0.000014 test-mlogloss:1.134415+0.060915
## [194] train-mlogloss:0.002122+0.000014 test-mlogloss:1.134363+0.060601
## [195] train-mlogloss:0.002116+0.000013 test-mlogloss:1.134831+0.060848
## [196] train-mlogloss:0.002108+0.000013 test-mlogloss:1.135189+0.061102
## [197] train-mlogloss:0.002102+0.000012 test-mlogloss:1.135436+0.060899
## [198] train-mlogloss:0.002094+0.000013 test-mlogloss:1.136312+0.061203
## [199] train-mlogloss:0.002087+0.000012 test-mlogloss:1.136482+0.061440
## [200] train-mlogloss:0.002080+0.000012 test-mlogloss:1.136877+0.061289
## [201] train-mlogloss:0.002073+0.000013 test-mlogloss:1.137272+0.061425
## [202] train-mlogloss:0.002067+0.000012 test-mlogloss:1.137675+0.061463
## [203] train-mlogloss:0.002060+0.000012 test-mlogloss:1.138319+0.060972
## [204] train-mlogloss:0.002053+0.000013 test-mlogloss:1.138802+0.061085
## [205] train-mlogloss:0.002047+0.000013 test-mlogloss:1.139137+0.060980
## [206] train-mlogloss:0.002040+0.000013 test-mlogloss:1.139739+0.060910
## [207] train-mlogloss:0.002034+0.000013 test-mlogloss:1.140092+0.061029
## [208] train-mlogloss:0.002027+0.000013 test-mlogloss:1.140368+0.060748
## [209] train-mlogloss:0.002021+0.000013 test-mlogloss:1.140753+0.060526
## [210] train-mlogloss:0.002015+0.000014 test-mlogloss:1.141236+0.060798
## [211] train-mlogloss:0.002009+0.000013 test-mlogloss:1.142249+0.061014
## [212] train-mlogloss:0.002003+0.000013 test-mlogloss:1.143160+0.060960
## [213] train-mlogloss:0.001998+0.000013 test-mlogloss:1.143237+0.060937
## [214] train-mlogloss:0.001992+0.000013 test-mlogloss:1.143254+0.061320
## [215] train-mlogloss:0.001986+0.000013 test-mlogloss:1.143435+0.061378
## [216] train-mlogloss:0.001980+0.000013 test-mlogloss:1.143821+0.061614
## [217] train-mlogloss:0.001974+0.000013 test-mlogloss:1.144097+0.061629
## [218] train-mlogloss:0.001968+0.000013 test-mlogloss:1.144511+0.061527
## [219] train-mlogloss:0.001962+0.000013 test-mlogloss:1.145122+0.061236
## [220] train-mlogloss:0.001956+0.000012 test-mlogloss:1.145912+0.062225
## [221] train-mlogloss:0.001951+0.000012 test-mlogloss:1.146275+0.061812
## [222] train-mlogloss:0.001945+0.000011 test-mlogloss:1.146624+0.061331
## [223] train-mlogloss:0.001940+0.000012 test-mlogloss:1.146812+0.061436
## [224] train-mlogloss:0.001934+0.000012 test-mlogloss:1.147251+0.061058
## [225] train-mlogloss:0.001928+0.000012 test-mlogloss:1.147477+0.061312
## [226] train-mlogloss:0.001923+0.000012 test-mlogloss:1.148446+0.061337
## [227] train-mlogloss:0.001918+0.000012 test-mlogloss:1.149040+0.061266
## [228] train-mlogloss:0.001913+0.000011 test-mlogloss:1.149624+0.061372
## [229] train-mlogloss:0.001908+0.000011 test-mlogloss:1.149895+0.061741
## [230] train-mlogloss:0.001903+0.000012 test-mlogloss:1.149783+0.061378
## [231] train-mlogloss:0.001898+0.000011 test-mlogloss:1.150232+0.061479
## [232] train-mlogloss:0.001893+0.000011 test-mlogloss:1.150330+0.061306
## [233] train-mlogloss:0.001888+0.000012 test-mlogloss:1.150526+0.061493
## [234] train-mlogloss:0.001883+0.000011 test-mlogloss:1.151189+0.061623
## [235] train-mlogloss:0.001878+0.000011 test-mlogloss:1.151427+0.061251
## [236] train-mlogloss:0.001873+0.000011 test-mlogloss:1.152006+0.061320
## [237] train-mlogloss:0.001868+0.000011 test-mlogloss:1.152796+0.060786
## [238] train-mlogloss:0.001863+0.000011 test-mlogloss:1.153264+0.060716
## [239] train-mlogloss:0.001859+0.000011 test-mlogloss:1.153686+0.061287
## [240] train-mlogloss:0.001854+0.000011 test-mlogloss:1.153374+0.061023
## [241] train-mlogloss:0.001849+0.000011 test-mlogloss:1.154471+0.061140
## [242] train-mlogloss:0.001845+0.000011 test-mlogloss:1.155070+0.061795
## [243] train-mlogloss:0.001840+0.000011 test-mlogloss:1.155259+0.061902
## [244] train-mlogloss:0.001836+0.000011 test-mlogloss:1.155588+0.062005
## [245] train-mlogloss:0.001831+0.000011 test-mlogloss:1.155855+0.062204
## [246] train-mlogloss:0.001826+0.000011 test-mlogloss:1.156034+0.062330
## [247] train-mlogloss:0.001822+0.000011 test-mlogloss:1.155882+0.062384
## [248] train-mlogloss:0.001817+0.000011 test-mlogloss:1.156200+0.062474
## [249] train-mlogloss:0.001813+0.000010 test-mlogloss:1.156543+0.062922
## [250] train-mlogloss:0.001808+0.000010 test-mlogloss:1.156914+0.062667
## [251] train-mlogloss:0.001804+0.000010 test-mlogloss:1.157391+0.062914
## [252] train-mlogloss:0.001799+0.000009 test-mlogloss:1.158202+0.062892
## [253] train-mlogloss:0.001795+0.000010 test-mlogloss:1.158419+0.063148
## [254] train-mlogloss:0.001791+0.000010 test-mlogloss:1.159000+0.063401
## [255] train-mlogloss:0.001786+0.000010 test-mlogloss:1.159694+0.063706
## [256] train-mlogloss:0.001781+0.000010 test-mlogloss:1.160412+0.063913
## [257] train-mlogloss:0.001776+0.000010 test-mlogloss:1.160359+0.064024
## [258] train-mlogloss:0.001772+0.000010 test-mlogloss:1.160732+0.064062
## [259] train-mlogloss:0.001768+0.000010 test-mlogloss:1.161328+0.064238
## [260] train-mlogloss:0.001764+0.000011 test-mlogloss:1.161711+0.063787
## [261] train-mlogloss:0.001761+0.000010 test-mlogloss:1.161946+0.063931
## [262] train-mlogloss:0.001757+0.000010 test-mlogloss:1.162398+0.064249
## [263] train-mlogloss:0.001753+0.000010 test-mlogloss:1.163155+0.064137
## [264] train-mlogloss:0.001748+0.000010 test-mlogloss:1.163524+0.064449
## [265] train-mlogloss:0.001744+0.000011 test-mlogloss:1.163566+0.064410
## [266] train-mlogloss:0.001740+0.000011 test-mlogloss:1.163870+0.064534
## [267] train-mlogloss:0.001736+0.000011 test-mlogloss:1.164253+0.064584
## [268] train-mlogloss:0.001732+0.000011 test-mlogloss:1.164268+0.064659
## [269] train-mlogloss:0.001728+0.000011 test-mlogloss:1.164599+0.064550
## [270] train-mlogloss:0.001724+0.000011 test-mlogloss:1.165221+0.064547
## [271] train-mlogloss:0.001721+0.000012 test-mlogloss:1.165358+0.064661
## [272] train-mlogloss:0.001717+0.000012 test-mlogloss:1.165498+0.064290
## [273] train-mlogloss:0.001713+0.000012 test-mlogloss:1.165797+0.064304
## [274] train-mlogloss:0.001710+0.000012 test-mlogloss:1.165696+0.064459
## [275] train-mlogloss:0.001706+0.000012 test-mlogloss:1.166032+0.064676
## [276] train-mlogloss:0.001702+0.000012 test-mlogloss:1.166285+0.064603
## [277] train-mlogloss:0.001699+0.000011 test-mlogloss:1.166770+0.064725
## [278] train-mlogloss:0.001695+0.000011 test-mlogloss:1.166741+0.064884
## [279] train-mlogloss:0.001691+0.000011 test-mlogloss:1.167302+0.064989
## [280] train-mlogloss:0.001688+0.000011 test-mlogloss:1.167757+0.064773
## [281] train-mlogloss:0.001684+0.000011 test-mlogloss:1.168279+0.064905
## [282] train-mlogloss:0.001681+0.000011 test-mlogloss:1.168659+0.065400
## [283] train-mlogloss:0.001677+0.000012 test-mlogloss:1.169318+0.065125
## [284] train-mlogloss:0.001674+0.000011 test-mlogloss:1.169705+0.065350
## [285] train-mlogloss:0.001671+0.000011 test-mlogloss:1.169936+0.065403
## [286] train-mlogloss:0.001668+0.000011 test-mlogloss:1.170636+0.065820
## [287] train-mlogloss:0.001664+0.000011 test-mlogloss:1.170837+0.066047
## [288] train-mlogloss:0.001660+0.000011 test-mlogloss:1.171343+0.065747
## [289] train-mlogloss:0.001657+0.000011 test-mlogloss:1.171600+0.065918
## [290] train-mlogloss:0.001654+0.000011 test-mlogloss:1.171915+0.065901
## [291] train-mlogloss:0.001650+0.000011 test-mlogloss:1.172455+0.066156
## [292] train-mlogloss:0.001647+0.000012 test-mlogloss:1.172332+0.066008
## [293] train-mlogloss:0.001644+0.000011 test-mlogloss:1.172509+0.066094
## [294] train-mlogloss:0.001641+0.000012 test-mlogloss:1.172869+0.066449
## [295] train-mlogloss:0.001637+0.000012 test-mlogloss:1.173309+0.066422
## [296] train-mlogloss:0.001634+0.000012 test-mlogloss:1.173423+0.066574
## [297] train-mlogloss:0.001631+0.000012 test-mlogloss:1.173602+0.066337
## [298] train-mlogloss:0.001627+0.000012 test-mlogloss:1.174040+0.066491
## [299] train-mlogloss:0.001624+0.000012 test-mlogloss:1.174509+0.066741
## [300] train-mlogloss:0.001621+0.000013 test-mlogloss:1.174640+0.066577
## [301] train-mlogloss:0.001617+0.000012 test-mlogloss:1.174409+0.066452
## [302] train-mlogloss:0.001614+0.000012 test-mlogloss:1.175094+0.066420
## [303] train-mlogloss:0.001611+0.000012 test-mlogloss:1.175546+0.066357
## [304] train-mlogloss:0.001608+0.000012 test-mlogloss:1.175943+0.066201
## [305] train-mlogloss:0.001605+0.000012 test-mlogloss:1.176316+0.066418
## [306] train-mlogloss:0.001602+0.000012 test-mlogloss:1.176770+0.066352
## [307] train-mlogloss:0.001599+0.000013 test-mlogloss:1.177185+0.066185
## [308] train-mlogloss:0.001596+0.000012 test-mlogloss:1.177006+0.066101
## [309] train-mlogloss:0.001593+0.000012 test-mlogloss:1.177246+0.066253
## [310] train-mlogloss:0.001590+0.000012 test-mlogloss:1.177351+0.066417
## [311] train-mlogloss:0.001588+0.000012 test-mlogloss:1.177680+0.066355
## [312] train-mlogloss:0.001585+0.000012 test-mlogloss:1.178142+0.066685
## [313] train-mlogloss:0.001581+0.000012 test-mlogloss:1.178329+0.066897
## [314] train-mlogloss:0.001578+0.000012 test-mlogloss:1.177911+0.066918
## [315] train-mlogloss:0.001575+0.000012 test-mlogloss:1.177743+0.067073
## [316] train-mlogloss:0.001572+0.000012 test-mlogloss:1.178319+0.067251
## [317] train-mlogloss:0.001569+0.000012 test-mlogloss:1.178664+0.067413
## [318] train-mlogloss:0.001566+0.000012 test-mlogloss:1.179055+0.067471
## [319] train-mlogloss:0.001563+0.000012 test-mlogloss:1.179239+0.067889
## [320] train-mlogloss:0.001561+0.000012 test-mlogloss:1.179723+0.068078
## [321] train-mlogloss:0.001558+0.000012 test-mlogloss:1.180198+0.068130
## [322] train-mlogloss:0.001555+0.000012 test-mlogloss:1.180950+0.068329
## [323] train-mlogloss:0.001551+0.000011 test-mlogloss:1.180935+0.067942
## [324] train-mlogloss:0.001549+0.000011 test-mlogloss:1.181334+0.067981
## [325] train-mlogloss:0.001545+0.000011 test-mlogloss:1.181886+0.067888
## [326] train-mlogloss:0.001542+0.000011 test-mlogloss:1.182231+0.067882
## [327] train-mlogloss:0.001539+0.000010 test-mlogloss:1.182570+0.067815
## [328] train-mlogloss:0.001537+0.000011 test-mlogloss:1.182352+0.067883
## [329] train-mlogloss:0.001534+0.000011 test-mlogloss:1.182643+0.067485
## [330] train-mlogloss:0.001531+0.000010 test-mlogloss:1.182877+0.067787
## [331] train-mlogloss:0.001528+0.000011 test-mlogloss:1.182948+0.067841
## [332] train-mlogloss:0.001525+0.000011 test-mlogloss:1.183017+0.067707
## [333] train-mlogloss:0.001522+0.000011 test-mlogloss:1.182946+0.067622
## [334] train-mlogloss:0.001520+0.000011 test-mlogloss:1.183658+0.067975
## [335] train-mlogloss:0.001517+0.000012 test-mlogloss:1.183686+0.067857
## [336] train-mlogloss:0.001515+0.000012 test-mlogloss:1.184119+0.068166
## [337] train-mlogloss:0.001512+0.000011 test-mlogloss:1.184452+0.068209
## [338] train-mlogloss:0.001509+0.000011 test-mlogloss:1.184462+0.068257
## [339] train-mlogloss:0.001507+0.000011 test-mlogloss:1.184614+0.068143
## [340] train-mlogloss:0.001504+0.000011 test-mlogloss:1.184693+0.068036
## [341] train-mlogloss:0.001502+0.000011 test-mlogloss:1.185171+0.067844
## [342] train-mlogloss:0.001499+0.000011 test-mlogloss:1.185388+0.067991
## [343] train-mlogloss:0.001496+0.000011 test-mlogloss:1.185828+0.067962
## [344] train-mlogloss:0.001494+0.000011 test-mlogloss:1.186350+0.068299
## [345] train-mlogloss:0.001491+0.000011 test-mlogloss:1.186500+0.068498
## [346] train-mlogloss:0.001488+0.000011 test-mlogloss:1.186663+0.069234
## [347] train-mlogloss:0.001486+0.000011 test-mlogloss:1.186995+0.069032
## [348] train-mlogloss:0.001484+0.000011 test-mlogloss:1.187748+0.068938
## [349] train-mlogloss:0.001482+0.000011 test-mlogloss:1.188171+0.068667
## [350] train-mlogloss:0.001479+0.000010 test-mlogloss:1.188271+0.068637
## [351] train-mlogloss:0.001477+0.000011 test-mlogloss:1.188602+0.068819
## [352] train-mlogloss:0.001474+0.000011 test-mlogloss:1.189013+0.068998
## [353] train-mlogloss:0.001472+0.000011 test-mlogloss:1.189267+0.068632
## [354] train-mlogloss:0.001469+0.000011 test-mlogloss:1.189421+0.068617
## [355] train-mlogloss:0.001467+0.000011 test-mlogloss:1.189681+0.068826
## [356] train-mlogloss:0.001465+0.000011 test-mlogloss:1.189611+0.068656
## [357] train-mlogloss:0.001462+0.000011 test-mlogloss:1.190173+0.068548
## [358] train-mlogloss:0.001460+0.000011 test-mlogloss:1.190879+0.068516
## [359] train-mlogloss:0.001457+0.000011 test-mlogloss:1.191023+0.068592
## [360] train-mlogloss:0.001455+0.000011 test-mlogloss:1.191390+0.069144
## [361] train-mlogloss:0.001452+0.000011 test-mlogloss:1.191860+0.069035
## [362] train-mlogloss:0.001450+0.000011 test-mlogloss:1.192049+0.069187
## [363] train-mlogloss:0.001448+0.000011 test-mlogloss:1.192105+0.069133
## [364] train-mlogloss:0.001445+0.000012 test-mlogloss:1.192090+0.069198
## [365] train-mlogloss:0.001443+0.000011 test-mlogloss:1.192689+0.068937
## [366] train-mlogloss:0.001440+0.000011 test-mlogloss:1.192687+0.069238
## [367] train-mlogloss:0.001438+0.000011 test-mlogloss:1.192859+0.069169
## [368] train-mlogloss:0.001436+0.000010 test-mlogloss:1.193309+0.068792
## [369] train-mlogloss:0.001434+0.000010 test-mlogloss:1.193233+0.068820
## [370] train-mlogloss:0.001431+0.000011 test-mlogloss:1.193467+0.069149
## [371] train-mlogloss:0.001429+0.000011 test-mlogloss:1.194297+0.069377
## [372] train-mlogloss:0.001427+0.000011 test-mlogloss:1.194489+0.069309
## [373] train-mlogloss:0.001425+0.000011 test-mlogloss:1.195124+0.069334
## [374] train-mlogloss:0.001423+0.000010 test-mlogloss:1.195731+0.069082
## [375] train-mlogloss:0.001421+0.000010 test-mlogloss:1.195930+0.069137
## [376] train-mlogloss:0.001418+0.000010 test-mlogloss:1.195779+0.068997
## [377] train-mlogloss:0.001416+0.000010 test-mlogloss:1.195921+0.069043
## [378] train-mlogloss:0.001414+0.000010 test-mlogloss:1.196347+0.069044
## [379] train-mlogloss:0.001411+0.000010 test-mlogloss:1.196731+0.069029
## [380] train-mlogloss:0.001409+0.000010 test-mlogloss:1.197422+0.069203
## [381] train-mlogloss:0.001407+0.000010 test-mlogloss:1.197874+0.069836
## [382] train-mlogloss:0.001406+0.000010 test-mlogloss:1.197817+0.069634
## [383] train-mlogloss:0.001403+0.000010 test-mlogloss:1.197709+0.069302
## [384] train-mlogloss:0.001401+0.000010 test-mlogloss:1.197956+0.069692
## [385] train-mlogloss:0.001399+0.000010 test-mlogloss:1.198313+0.069428
## [386] train-mlogloss:0.001397+0.000010 test-mlogloss:1.198401+0.069831
## [387] train-mlogloss:0.001394+0.000010 test-mlogloss:1.198434+0.069696
## [388] train-mlogloss:0.001392+0.000010 test-mlogloss:1.198758+0.069460
## [389] train-mlogloss:0.001390+0.000010 test-mlogloss:1.198838+0.069902
## [390] train-mlogloss:0.001388+0.000010 test-mlogloss:1.199090+0.069583
## [391] train-mlogloss:0.001386+0.000010 test-mlogloss:1.199156+0.069771
## [392] train-mlogloss:0.001384+0.000010 test-mlogloss:1.199430+0.069786
## [393] train-mlogloss:0.001382+0.000010 test-mlogloss:1.199466+0.069627
## [394] train-mlogloss:0.001380+0.000010 test-mlogloss:1.199732+0.069226
## [395] train-mlogloss:0.001378+0.000009 test-mlogloss:1.200433+0.069197
## [396] train-mlogloss:0.001376+0.000009 test-mlogloss:1.200573+0.069459
## [397] train-mlogloss:0.001374+0.000009 test-mlogloss:1.200848+0.069203
## [398] train-mlogloss:0.001372+0.000009 test-mlogloss:1.201175+0.069162
## [399] train-mlogloss:0.001370+0.000009 test-mlogloss:1.201101+0.068921
## [400] train-mlogloss:0.001368+0.000009 test-mlogloss:1.201410+0.069033
## [401] train-mlogloss:0.001366+0.000009 test-mlogloss:1.201722+0.069023
## [402] train-mlogloss:0.001364+0.000009 test-mlogloss:1.201609+0.069205
## [403] train-mlogloss:0.001362+0.000009 test-mlogloss:1.201777+0.069336
## [404] train-mlogloss:0.001361+0.000009 test-mlogloss:1.202092+0.069522
## [405] train-mlogloss:0.001359+0.000009 test-mlogloss:1.202211+0.069603
## [406] train-mlogloss:0.001356+0.000010 test-mlogloss:1.202459+0.070057
## [407] train-mlogloss:0.001355+0.000009 test-mlogloss:1.203148+0.069955
## [408] train-mlogloss:0.001353+0.000009 test-mlogloss:1.203440+0.069962
## [409] train-mlogloss:0.001351+0.000009 test-mlogloss:1.203894+0.069192
## [410] train-mlogloss:0.001349+0.000009 test-mlogloss:1.204234+0.068961
## [411] train-mlogloss:0.001347+0.000009 test-mlogloss:1.204004+0.068876
## [412] train-mlogloss:0.001345+0.000009 test-mlogloss:1.204321+0.069274
## [413] train-mlogloss:0.001343+0.000009 test-mlogloss:1.204790+0.069515
## [414] train-mlogloss:0.001341+0.000009 test-mlogloss:1.204544+0.069327
## [415] train-mlogloss:0.001339+0.000009 test-mlogloss:1.204776+0.069485
## [416] train-mlogloss:0.001338+0.000009 test-mlogloss:1.205311+0.069370
## [417] train-mlogloss:0.001336+0.000009 test-mlogloss:1.205588+0.069527
## [418] train-mlogloss:0.001334+0.000009 test-mlogloss:1.205916+0.069641
## [419] train-mlogloss:0.001333+0.000009 test-mlogloss:1.206207+0.069832
## [420] train-mlogloss:0.001331+0.000009 test-mlogloss:1.206353+0.070019
## [421] train-mlogloss:0.001329+0.000009 test-mlogloss:1.206448+0.069729
## [422] train-mlogloss:0.001328+0.000009 test-mlogloss:1.206496+0.069671
## [423] train-mlogloss:0.001326+0.000009 test-mlogloss:1.206776+0.069590
## [424] train-mlogloss:0.001324+0.000009 test-mlogloss:1.206747+0.069374
## [425] train-mlogloss:0.001322+0.000009 test-mlogloss:1.207133+0.069582
## [426] train-mlogloss:0.001320+0.000009 test-mlogloss:1.207283+0.069742
## [427] train-mlogloss:0.001319+0.000009 test-mlogloss:1.207394+0.069845
## [428] train-mlogloss:0.001317+0.000009 test-mlogloss:1.207349+0.069776
## [429] train-mlogloss:0.001315+0.000009 test-mlogloss:1.207809+0.069830
## [430] train-mlogloss:0.001314+0.000009 test-mlogloss:1.207910+0.069970
## [431] train-mlogloss:0.001312+0.000009 test-mlogloss:1.208046+0.070363
## [432] train-mlogloss:0.001311+0.000008 test-mlogloss:1.208250+0.070414
## [433] train-mlogloss:0.001309+0.000009 test-mlogloss:1.208490+0.070456
## [434] train-mlogloss:0.001307+0.000008 test-mlogloss:1.208543+0.070722
## [435] train-mlogloss:0.001306+0.000008 test-mlogloss:1.208418+0.070683
## [436] train-mlogloss:0.001304+0.000008 test-mlogloss:1.208891+0.070665
## [437] train-mlogloss:0.001302+0.000008 test-mlogloss:1.209236+0.070517
## [438] train-mlogloss:0.001300+0.000008 test-mlogloss:1.209267+0.070674
## [439] train-mlogloss:0.001298+0.000008 test-mlogloss:1.209223+0.070670
## [440] train-mlogloss:0.001297+0.000008 test-mlogloss:1.209272+0.070959
## [441] train-mlogloss:0.001296+0.000008 test-mlogloss:1.209489+0.070785
## [442] train-mlogloss:0.001294+0.000008 test-mlogloss:1.209787+0.070993
## [443] train-mlogloss:0.001292+0.000008 test-mlogloss:1.210012+0.071141
## [444] train-mlogloss:0.001290+0.000008 test-mlogloss:1.210368+0.071132
## [445] train-mlogloss:0.001289+0.000008 test-mlogloss:1.210590+0.071158
## [446] train-mlogloss:0.001287+0.000008 test-mlogloss:1.210906+0.071153
## [447] train-mlogloss:0.001286+0.000008 test-mlogloss:1.210979+0.070968
## [448] train-mlogloss:0.001284+0.000008 test-mlogloss:1.211144+0.070852
## [449] train-mlogloss:0.001283+0.000008 test-mlogloss:1.211208+0.070583
## [450] train-mlogloss:0.001281+0.000007 test-mlogloss:1.211513+0.070486
## [451] train-mlogloss:0.001279+0.000007 test-mlogloss:1.211768+0.070513
## [452] train-mlogloss:0.001278+0.000007 test-mlogloss:1.212006+0.070664
## [453] train-mlogloss:0.001276+0.000008 test-mlogloss:1.212184+0.070513
## [454] train-mlogloss:0.001275+0.000007 test-mlogloss:1.212477+0.070433
## [455] train-mlogloss:0.001273+0.000008 test-mlogloss:1.212471+0.070165
## [456] train-mlogloss:0.001272+0.000007 test-mlogloss:1.212697+0.070383
## [457] train-mlogloss:0.001271+0.000008 test-mlogloss:1.212773+0.070403
## [458] train-mlogloss:0.001269+0.000008 test-mlogloss:1.213371+0.070924
## [459] train-mlogloss:0.001267+0.000008 test-mlogloss:1.213769+0.071095
## [460] train-mlogloss:0.001266+0.000008 test-mlogloss:1.213564+0.070980
## [461] train-mlogloss:0.001264+0.000008 test-mlogloss:1.214136+0.070750
## [462] train-mlogloss:0.001262+0.000008 test-mlogloss:1.214323+0.070844
## [463] train-mlogloss:0.001261+0.000008 test-mlogloss:1.214672+0.070848
## [464] train-mlogloss:0.001259+0.000008 test-mlogloss:1.214542+0.071385
## [465] train-mlogloss:0.001258+0.000007 test-mlogloss:1.214721+0.071320
## [466] train-mlogloss:0.001256+0.000007 test-mlogloss:1.214950+0.071266
## [467] train-mlogloss:0.001255+0.000007 test-mlogloss:1.215095+0.071150
## [468] train-mlogloss:0.001253+0.000007 test-mlogloss:1.215225+0.071111
## [469] train-mlogloss:0.001252+0.000007 test-mlogloss:1.214890+0.070859
## [470] train-mlogloss:0.001250+0.000007 test-mlogloss:1.215106+0.071077
## [471] train-mlogloss:0.001249+0.000007 test-mlogloss:1.215390+0.071038
## [472] train-mlogloss:0.001248+0.000007 test-mlogloss:1.215877+0.071075
## [473] train-mlogloss:0.001246+0.000007 test-mlogloss:1.215918+0.071004
## [474] train-mlogloss:0.001245+0.000007 test-mlogloss:1.216183+0.071245
## [475] train-mlogloss:0.001243+0.000007 test-mlogloss:1.216318+0.071197
## [476] train-mlogloss:0.001242+0.000007 test-mlogloss:1.216380+0.071428
## [477] train-mlogloss:0.001240+0.000007 test-mlogloss:1.216564+0.070994
## [478] train-mlogloss:0.001239+0.000007 test-mlogloss:1.216661+0.070813
## [479] train-mlogloss:0.001237+0.000007 test-mlogloss:1.216603+0.070950
## [480] train-mlogloss:0.001236+0.000007 test-mlogloss:1.216979+0.070630
## [481] train-mlogloss:0.001234+0.000007 test-mlogloss:1.217129+0.070509
## [482] train-mlogloss:0.001233+0.000007 test-mlogloss:1.217667+0.070748
## [483] train-mlogloss:0.001231+0.000007 test-mlogloss:1.218138+0.070648
## [484] train-mlogloss:0.001230+0.000007 test-mlogloss:1.218300+0.070682
## [485] train-mlogloss:0.001229+0.000007 test-mlogloss:1.218723+0.070644
## [486] train-mlogloss:0.001227+0.000007 test-mlogloss:1.219000+0.070619
## [487] train-mlogloss:0.001226+0.000007 test-mlogloss:1.219184+0.070433
## [488] train-mlogloss:0.001224+0.000007 test-mlogloss:1.219170+0.070563
## [489] train-mlogloss:0.001223+0.000007 test-mlogloss:1.219259+0.070440
## [490] train-mlogloss:0.001221+0.000007 test-mlogloss:1.219246+0.070640
## [491] train-mlogloss:0.001220+0.000007 test-mlogloss:1.219495+0.071009
## [492] train-mlogloss:0.001219+0.000007 test-mlogloss:1.219604+0.070862
## [493] train-mlogloss:0.001217+0.000007 test-mlogloss:1.219887+0.071083
## [494] train-mlogloss:0.001216+0.000007 test-mlogloss:1.220248+0.071080
## [495] train-mlogloss:0.001215+0.000007 test-mlogloss:1.220162+0.070960
## [496] train-mlogloss:0.001214+0.000007 test-mlogloss:1.220470+0.070856
## [497] train-mlogloss:0.001212+0.000008 test-mlogloss:1.220494+0.070876
## [498] train-mlogloss:0.001211+0.000007 test-mlogloss:1.220582+0.070646
## [499] train-mlogloss:0.001210+0.000007 test-mlogloss:1.220948+0.071045
## [500] train-mlogloss:0.001208+0.000007 test-mlogloss:1.221327+0.070908
## [1] train-mlogloss:0.524689+0.003188 test-mlogloss:0.550396+0.009257
## [2] train-mlogloss:0.503125+0.004041 test-mlogloss:0.550469+0.010419
## [3] train-mlogloss:0.493802+0.005118 test-mlogloss:0.555384+0.009982
## [4] train-mlogloss:0.483941+0.003212 test-mlogloss:0.562922+0.012109
## [5] train-mlogloss:0.475110+0.004850 test-mlogloss:0.570794+0.011575
## [6] train-mlogloss:0.468690+0.003790 test-mlogloss:0.573736+0.012914
## [7] train-mlogloss:0.460904+0.004556 test-mlogloss:0.579439+0.012547
## [8] train-mlogloss:0.454390+0.005758 test-mlogloss:0.583210+0.012871
## [9] train-mlogloss:0.447622+0.005767 test-mlogloss:0.587073+0.016926
## [10] train-mlogloss:0.440465+0.007900 test-mlogloss:0.591490+0.021894
## [11] train-mlogloss:0.432774+0.008252 test-mlogloss:0.594751+0.020073
## [12] train-mlogloss:0.423169+0.008882 test-mlogloss:0.599356+0.020727
## [13] train-mlogloss:0.414901+0.009733 test-mlogloss:0.605429+0.022334
## [14] train-mlogloss:0.405797+0.008409 test-mlogloss:0.610559+0.020237
## [15] train-mlogloss:0.398246+0.007029 test-mlogloss:0.614899+0.023041
## [16] train-mlogloss:0.388455+0.005779 test-mlogloss:0.621874+0.019520
## [17] train-mlogloss:0.381394+0.004422 test-mlogloss:0.625710+0.017131
## [18] train-mlogloss:0.372034+0.003491 test-mlogloss:0.634512+0.014762
## [19] train-mlogloss:0.364099+0.002496 test-mlogloss:0.641854+0.015052
## [20] train-mlogloss:0.357618+0.003771 test-mlogloss:0.649008+0.014575
## [21] train-mlogloss:0.349677+0.004658 test-mlogloss:0.660081+0.011439
## [22] train-mlogloss:0.344321+0.005120 test-mlogloss:0.663490+0.012346
## [23] train-mlogloss:0.336346+0.005653 test-mlogloss:0.670851+0.015782
## [24] train-mlogloss:0.330700+0.005301 test-mlogloss:0.674737+0.016032
## [25] train-mlogloss:0.324423+0.005075 test-mlogloss:0.679964+0.018780
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## [27] train-mlogloss:0.309966+0.005897 test-mlogloss:0.694816+0.028408
## [28] train-mlogloss:0.304052+0.005693 test-mlogloss:0.700602+0.026690
## [29] train-mlogloss:0.297803+0.006207 test-mlogloss:0.704601+0.027155
## [30] train-mlogloss:0.292499+0.006142 test-mlogloss:0.710322+0.025646
## [31] train-mlogloss:0.287661+0.007102 test-mlogloss:0.713974+0.022896
## [32] train-mlogloss:0.281313+0.006173 test-mlogloss:0.719511+0.024801
## [33] train-mlogloss:0.274337+0.005736 test-mlogloss:0.726929+0.025327
## [34] train-mlogloss:0.268357+0.004374 test-mlogloss:0.731366+0.025172
## [35] train-mlogloss:0.262464+0.004137 test-mlogloss:0.736090+0.026237
## [36] train-mlogloss:0.258266+0.004264 test-mlogloss:0.740408+0.026595
## [37] train-mlogloss:0.253867+0.002474 test-mlogloss:0.743084+0.026967
## [38] train-mlogloss:0.249895+0.003235 test-mlogloss:0.744447+0.027898
## [39] train-mlogloss:0.245435+0.002597 test-mlogloss:0.749474+0.029045
## [40] train-mlogloss:0.241059+0.003746 test-mlogloss:0.753566+0.028828
## [41] train-mlogloss:0.237127+0.004815 test-mlogloss:0.757172+0.028319
## [42] train-mlogloss:0.233240+0.003608 test-mlogloss:0.760881+0.029482
## [43] train-mlogloss:0.228731+0.002867 test-mlogloss:0.764591+0.033395
## [44] train-mlogloss:0.224384+0.004593 test-mlogloss:0.768705+0.036874
## [45] train-mlogloss:0.220444+0.005792 test-mlogloss:0.774173+0.036819
## [46] train-mlogloss:0.215800+0.005148 test-mlogloss:0.780899+0.036767
## [47] train-mlogloss:0.211355+0.004817 test-mlogloss:0.783579+0.036992
## [48] train-mlogloss:0.207524+0.006180 test-mlogloss:0.783960+0.037849
## [49] train-mlogloss:0.202919+0.005964 test-mlogloss:0.790313+0.037601
## [50] train-mlogloss:0.198847+0.006174 test-mlogloss:0.793934+0.037213
## [51] train-mlogloss:0.195801+0.006706 test-mlogloss:0.797182+0.040808
## [52] train-mlogloss:0.191772+0.006881 test-mlogloss:0.800090+0.043100
## [53] train-mlogloss:0.187074+0.006715 test-mlogloss:0.803996+0.042082
## [54] train-mlogloss:0.183009+0.007037 test-mlogloss:0.808621+0.042480
## [55] train-mlogloss:0.180098+0.006248 test-mlogloss:0.811903+0.045687
## [56] train-mlogloss:0.176329+0.005735 test-mlogloss:0.816170+0.046208
## [57] train-mlogloss:0.173333+0.005450 test-mlogloss:0.820110+0.045916
## [58] train-mlogloss:0.169071+0.005500 test-mlogloss:0.824348+0.044922
## [59] train-mlogloss:0.165638+0.005904 test-mlogloss:0.828372+0.044919
## [60] train-mlogloss:0.161393+0.005025 test-mlogloss:0.830508+0.043591
## [61] train-mlogloss:0.158135+0.006078 test-mlogloss:0.831681+0.044032
## [62] train-mlogloss:0.154635+0.006293 test-mlogloss:0.836062+0.043628
## [63] train-mlogloss:0.150677+0.006553 test-mlogloss:0.838984+0.043049
## [64] train-mlogloss:0.147894+0.006621 test-mlogloss:0.842508+0.044479
## [65] train-mlogloss:0.145205+0.006985 test-mlogloss:0.847231+0.044903
## [66] train-mlogloss:0.142404+0.006488 test-mlogloss:0.850390+0.044804
## [67] train-mlogloss:0.139940+0.005541 test-mlogloss:0.853057+0.044866
## [68] train-mlogloss:0.136901+0.005737 test-mlogloss:0.856583+0.045642
## [69] train-mlogloss:0.133274+0.005222 test-mlogloss:0.860717+0.044393
## [70] train-mlogloss:0.129966+0.005267 test-mlogloss:0.864905+0.044447
## [71] train-mlogloss:0.127051+0.005124 test-mlogloss:0.867743+0.044927
## [72] train-mlogloss:0.124551+0.004808 test-mlogloss:0.868468+0.046763
## [73] train-mlogloss:0.121798+0.003909 test-mlogloss:0.872855+0.046526
## [74] train-mlogloss:0.119431+0.003221 test-mlogloss:0.876827+0.046617
## [75] train-mlogloss:0.117259+0.003463 test-mlogloss:0.879399+0.046219
## [76] train-mlogloss:0.115459+0.003203 test-mlogloss:0.881287+0.046246
## [77] train-mlogloss:0.113947+0.003216 test-mlogloss:0.883173+0.046227
## [78] train-mlogloss:0.111735+0.002573 test-mlogloss:0.884334+0.047944
## [79] train-mlogloss:0.109769+0.002433 test-mlogloss:0.886955+0.047189
## [80] train-mlogloss:0.107383+0.002569 test-mlogloss:0.890779+0.046458
## [81] train-mlogloss:0.105902+0.002712 test-mlogloss:0.892689+0.047622
## [82] train-mlogloss:0.103624+0.002491 test-mlogloss:0.895865+0.048658
## [83] train-mlogloss:0.101139+0.002230 test-mlogloss:0.899289+0.047828
## [84] train-mlogloss:0.099556+0.001865 test-mlogloss:0.899818+0.047244
## [85] train-mlogloss:0.097756+0.001647 test-mlogloss:0.901674+0.048519
## [86] train-mlogloss:0.095575+0.001488 test-mlogloss:0.905889+0.050172
## [87] train-mlogloss:0.093730+0.001358 test-mlogloss:0.907837+0.050139
## [88] train-mlogloss:0.091772+0.001324 test-mlogloss:0.912513+0.052234
## [89] train-mlogloss:0.090137+0.001457 test-mlogloss:0.914949+0.053196
## [90] train-mlogloss:0.088093+0.001817 test-mlogloss:0.919258+0.052378
## [91] train-mlogloss:0.086266+0.001793 test-mlogloss:0.922689+0.052826
## [92] train-mlogloss:0.084544+0.001924 test-mlogloss:0.926835+0.054255
## [93] train-mlogloss:0.082697+0.001355 test-mlogloss:0.929663+0.054093
## [94] train-mlogloss:0.081071+0.001435 test-mlogloss:0.930152+0.056285
## [95] train-mlogloss:0.079240+0.001461 test-mlogloss:0.935422+0.055922
## [96] train-mlogloss:0.077467+0.001372 test-mlogloss:0.937978+0.054678
## [97] train-mlogloss:0.075779+0.001140 test-mlogloss:0.942626+0.054691
## [98] train-mlogloss:0.073878+0.001164 test-mlogloss:0.943433+0.054520
## [99] train-mlogloss:0.072433+0.001319 test-mlogloss:0.944885+0.054298
## [100] train-mlogloss:0.070915+0.001362 test-mlogloss:0.947612+0.053425
## [101] train-mlogloss:0.069303+0.001286 test-mlogloss:0.950659+0.052317
## [102] train-mlogloss:0.068100+0.001222 test-mlogloss:0.954617+0.051749
## [103] train-mlogloss:0.067057+0.000948 test-mlogloss:0.957756+0.052117
## [104] train-mlogloss:0.065870+0.000996 test-mlogloss:0.960318+0.052126
## [105] train-mlogloss:0.064981+0.000998 test-mlogloss:0.962667+0.051269
## [106] train-mlogloss:0.063997+0.001023 test-mlogloss:0.964541+0.052538
## [107] train-mlogloss:0.063012+0.001428 test-mlogloss:0.966588+0.053385
## [108] train-mlogloss:0.062239+0.001691 test-mlogloss:0.968474+0.054208
## [109] train-mlogloss:0.060992+0.001799 test-mlogloss:0.972257+0.051271
## [110] train-mlogloss:0.059996+0.001518 test-mlogloss:0.975417+0.050948
## [111] train-mlogloss:0.058875+0.001486 test-mlogloss:0.977199+0.050598
## [112] train-mlogloss:0.057810+0.001651 test-mlogloss:0.977034+0.051031
## [113] train-mlogloss:0.056789+0.001226 test-mlogloss:0.979959+0.051710
## [114] train-mlogloss:0.055978+0.001351 test-mlogloss:0.982699+0.052008
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## [118] train-mlogloss:0.052077+0.001373 test-mlogloss:0.988903+0.056228
## [119] train-mlogloss:0.051028+0.001206 test-mlogloss:0.991488+0.058332
## [120] train-mlogloss:0.050000+0.001252 test-mlogloss:0.994610+0.059523
## [121] train-mlogloss:0.049121+0.001513 test-mlogloss:0.997143+0.060838
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## [123] train-mlogloss:0.047606+0.001768 test-mlogloss:1.003880+0.063791
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## [125] train-mlogloss:0.045936+0.001745 test-mlogloss:1.007055+0.065083
## [126] train-mlogloss:0.045284+0.001806 test-mlogloss:1.009915+0.067150
## [127] train-mlogloss:0.044501+0.001669 test-mlogloss:1.011905+0.069262
## [128] train-mlogloss:0.043547+0.001696 test-mlogloss:1.012652+0.069172
## [129] train-mlogloss:0.042664+0.001584 test-mlogloss:1.015368+0.070422
## [130] train-mlogloss:0.042007+0.001452 test-mlogloss:1.016224+0.070994
## [131] train-mlogloss:0.041352+0.001482 test-mlogloss:1.017022+0.071803
## [132] train-mlogloss:0.040624+0.001340 test-mlogloss:1.018674+0.070523
## [133] train-mlogloss:0.039857+0.001333 test-mlogloss:1.021506+0.071239
## [134] train-mlogloss:0.039236+0.001497 test-mlogloss:1.023012+0.071306
## [135] train-mlogloss:0.038682+0.001633 test-mlogloss:1.025120+0.072476
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## [137] train-mlogloss:0.037599+0.001299 test-mlogloss:1.028915+0.073167
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## [139] train-mlogloss:0.036479+0.001236 test-mlogloss:1.030892+0.070033
## [140] train-mlogloss:0.035868+0.001366 test-mlogloss:1.031741+0.070203
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## [142] train-mlogloss:0.034584+0.001422 test-mlogloss:1.033526+0.069706
## [143] train-mlogloss:0.034048+0.001388 test-mlogloss:1.036308+0.069436
## [144] train-mlogloss:0.033507+0.001458 test-mlogloss:1.039052+0.071051
## [145] train-mlogloss:0.032954+0.001578 test-mlogloss:1.040523+0.070989
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## [192] train-mlogloss:0.017344+0.000995 test-mlogloss:1.124711+0.081748
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## [204] train-mlogloss:0.015224+0.001076 test-mlogloss:1.143447+0.083775
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## [210] train-mlogloss:0.014309+0.001035 test-mlogloss:1.153524+0.084333
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## [214] train-mlogloss:0.013769+0.000986 test-mlogloss:1.158189+0.084249
## [215] train-mlogloss:0.013599+0.000955 test-mlogloss:1.159772+0.084480
## [216] train-mlogloss:0.013471+0.000939 test-mlogloss:1.161674+0.083980
## [217] train-mlogloss:0.013317+0.000921 test-mlogloss:1.163712+0.084841
## [218] train-mlogloss:0.013178+0.000875 test-mlogloss:1.164512+0.085068
## [219] train-mlogloss:0.013068+0.000815 test-mlogloss:1.165782+0.084115
## [220] train-mlogloss:0.012920+0.000778 test-mlogloss:1.166724+0.084182
## [221] train-mlogloss:0.012816+0.000757 test-mlogloss:1.168567+0.083332
## [222] train-mlogloss:0.012720+0.000785 test-mlogloss:1.169993+0.084061
## [223] train-mlogloss:0.012628+0.000778 test-mlogloss:1.170915+0.083325
## [224] train-mlogloss:0.012483+0.000707 test-mlogloss:1.171745+0.083257
## [225] train-mlogloss:0.012337+0.000694 test-mlogloss:1.173137+0.082499
## [226] train-mlogloss:0.012222+0.000686 test-mlogloss:1.174060+0.082431
## [227] train-mlogloss:0.012127+0.000660 test-mlogloss:1.174985+0.082140
## [228] train-mlogloss:0.012014+0.000657 test-mlogloss:1.175310+0.082491
## [229] train-mlogloss:0.011879+0.000664 test-mlogloss:1.176234+0.082447
## [230] train-mlogloss:0.011721+0.000624 test-mlogloss:1.176906+0.083312
## [231] train-mlogloss:0.011595+0.000611 test-mlogloss:1.177691+0.084067
## [232] train-mlogloss:0.011497+0.000634 test-mlogloss:1.178780+0.084297
## [233] train-mlogloss:0.011411+0.000647 test-mlogloss:1.179760+0.084867
## [234] train-mlogloss:0.011284+0.000638 test-mlogloss:1.181127+0.083944
## [235] train-mlogloss:0.011147+0.000653 test-mlogloss:1.183737+0.084560
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## [237] train-mlogloss:0.010934+0.000642 test-mlogloss:1.185538+0.085497
## [238] train-mlogloss:0.010857+0.000629 test-mlogloss:1.186562+0.085140
## [239] train-mlogloss:0.010757+0.000605 test-mlogloss:1.187421+0.085537
## [240] train-mlogloss:0.010660+0.000582 test-mlogloss:1.188269+0.085531
## [241] train-mlogloss:0.010582+0.000591 test-mlogloss:1.189889+0.085459
## [242] train-mlogloss:0.010481+0.000588 test-mlogloss:1.191465+0.085852
## [243] train-mlogloss:0.010401+0.000589 test-mlogloss:1.192081+0.085157
## [244] train-mlogloss:0.010332+0.000606 test-mlogloss:1.192841+0.085094
## [245] train-mlogloss:0.010230+0.000582 test-mlogloss:1.194275+0.084016
## [246] train-mlogloss:0.010173+0.000594 test-mlogloss:1.194387+0.084307
## [247] train-mlogloss:0.010080+0.000585 test-mlogloss:1.194857+0.084046
## [248] train-mlogloss:0.010016+0.000599 test-mlogloss:1.196222+0.083960
## [249] train-mlogloss:0.009931+0.000584 test-mlogloss:1.197472+0.083695
## [250] train-mlogloss:0.009873+0.000587 test-mlogloss:1.197739+0.083478
## [251] train-mlogloss:0.009813+0.000580 test-mlogloss:1.199081+0.082952
## [252] train-mlogloss:0.009731+0.000599 test-mlogloss:1.200942+0.083935
## [253] train-mlogloss:0.009663+0.000621 test-mlogloss:1.202481+0.084934
## [254] train-mlogloss:0.009575+0.000608 test-mlogloss:1.203709+0.084775
## [255] train-mlogloss:0.009509+0.000622 test-mlogloss:1.204767+0.085247
## [256] train-mlogloss:0.009433+0.000620 test-mlogloss:1.205900+0.084911
## [257] train-mlogloss:0.009357+0.000621 test-mlogloss:1.207883+0.086345
## [258] train-mlogloss:0.009288+0.000622 test-mlogloss:1.208617+0.086198
## [259] train-mlogloss:0.009200+0.000618 test-mlogloss:1.210168+0.085392
## [260] train-mlogloss:0.009133+0.000619 test-mlogloss:1.211069+0.086261
## [261] train-mlogloss:0.009052+0.000611 test-mlogloss:1.211975+0.085369
## [262] train-mlogloss:0.008989+0.000580 test-mlogloss:1.212844+0.086020
## [263] train-mlogloss:0.008934+0.000576 test-mlogloss:1.212185+0.086137
## [264] train-mlogloss:0.008863+0.000576 test-mlogloss:1.214847+0.085746
## [265] train-mlogloss:0.008804+0.000593 test-mlogloss:1.214566+0.085719
## [266] train-mlogloss:0.008732+0.000582 test-mlogloss:1.215166+0.084763
## [267] train-mlogloss:0.008650+0.000580 test-mlogloss:1.217315+0.083626
## [268] train-mlogloss:0.008589+0.000563 test-mlogloss:1.217315+0.083574
## [269] train-mlogloss:0.008511+0.000544 test-mlogloss:1.218339+0.083880
## [270] train-mlogloss:0.008426+0.000555 test-mlogloss:1.220909+0.083991
## [271] train-mlogloss:0.008349+0.000550 test-mlogloss:1.221826+0.084081
## [272] train-mlogloss:0.008292+0.000562 test-mlogloss:1.222577+0.084475
## [273] train-mlogloss:0.008230+0.000559 test-mlogloss:1.223707+0.084440
## [274] train-mlogloss:0.008161+0.000566 test-mlogloss:1.225569+0.085421
## [275] train-mlogloss:0.008080+0.000556 test-mlogloss:1.226856+0.084301
## [276] train-mlogloss:0.008020+0.000562 test-mlogloss:1.228060+0.085359
## [277] train-mlogloss:0.007962+0.000567 test-mlogloss:1.229318+0.084967
## [278] train-mlogloss:0.007904+0.000566 test-mlogloss:1.230450+0.086518
## [279] train-mlogloss:0.007839+0.000556 test-mlogloss:1.231085+0.087108
## [280] train-mlogloss:0.007770+0.000534 test-mlogloss:1.232174+0.085869
## [281] train-mlogloss:0.007690+0.000520 test-mlogloss:1.232929+0.086856
## [282] train-mlogloss:0.007634+0.000520 test-mlogloss:1.233789+0.086619
## [283] train-mlogloss:0.007564+0.000491 test-mlogloss:1.235254+0.086889
## [284] train-mlogloss:0.007507+0.000474 test-mlogloss:1.236558+0.085862
## [285] train-mlogloss:0.007461+0.000471 test-mlogloss:1.237000+0.085698
## [286] train-mlogloss:0.007422+0.000465 test-mlogloss:1.237927+0.085705
## [287] train-mlogloss:0.007385+0.000480 test-mlogloss:1.238169+0.085877
## [288] train-mlogloss:0.007325+0.000498 test-mlogloss:1.239108+0.086016
## [289] train-mlogloss:0.007273+0.000516 test-mlogloss:1.240030+0.086715
## [290] train-mlogloss:0.007222+0.000517 test-mlogloss:1.241600+0.086782
## [291] train-mlogloss:0.007172+0.000532 test-mlogloss:1.242822+0.087306
## [292] train-mlogloss:0.007115+0.000530 test-mlogloss:1.243321+0.088240
## [293] train-mlogloss:0.007065+0.000541 test-mlogloss:1.244316+0.088210
## [294] train-mlogloss:0.007026+0.000531 test-mlogloss:1.244856+0.087678
## [295] train-mlogloss:0.006978+0.000536 test-mlogloss:1.246408+0.088495
## [296] train-mlogloss:0.006925+0.000522 test-mlogloss:1.247780+0.088856
## [297] train-mlogloss:0.006869+0.000511 test-mlogloss:1.247173+0.088881
## [298] train-mlogloss:0.006816+0.000498 test-mlogloss:1.248661+0.088598
## [299] train-mlogloss:0.006773+0.000484 test-mlogloss:1.251025+0.089102
## [300] train-mlogloss:0.006723+0.000477 test-mlogloss:1.252603+0.089075
## [301] train-mlogloss:0.006675+0.000462 test-mlogloss:1.253273+0.088795
## [302] train-mlogloss:0.006621+0.000439 test-mlogloss:1.254920+0.088788
## [303] train-mlogloss:0.006587+0.000430 test-mlogloss:1.255548+0.087594
## [304] train-mlogloss:0.006533+0.000419 test-mlogloss:1.256657+0.087798
## [305] train-mlogloss:0.006480+0.000409 test-mlogloss:1.258329+0.087391
## [306] train-mlogloss:0.006425+0.000412 test-mlogloss:1.259429+0.087275
## [307] train-mlogloss:0.006373+0.000415 test-mlogloss:1.260429+0.087271
## [308] train-mlogloss:0.006340+0.000415 test-mlogloss:1.260876+0.087830
## [309] train-mlogloss:0.006302+0.000417 test-mlogloss:1.262059+0.087525
## [310] train-mlogloss:0.006257+0.000418 test-mlogloss:1.262187+0.087300
## [311] train-mlogloss:0.006230+0.000417 test-mlogloss:1.262611+0.086973
## [312] train-mlogloss:0.006185+0.000425 test-mlogloss:1.263537+0.087169
## [313] train-mlogloss:0.006150+0.000420 test-mlogloss:1.264112+0.087768
## [314] train-mlogloss:0.006104+0.000422 test-mlogloss:1.264141+0.087385
## [315] train-mlogloss:0.006056+0.000434 test-mlogloss:1.265606+0.088100
## [316] train-mlogloss:0.006022+0.000438 test-mlogloss:1.266726+0.087872
## [317] train-mlogloss:0.005988+0.000449 test-mlogloss:1.268419+0.088242
## [318] train-mlogloss:0.005946+0.000444 test-mlogloss:1.269241+0.087423
## [319] train-mlogloss:0.005918+0.000439 test-mlogloss:1.270056+0.086747
## [320] train-mlogloss:0.005872+0.000432 test-mlogloss:1.270748+0.086889
## [321] train-mlogloss:0.005830+0.000426 test-mlogloss:1.271390+0.087420
## [322] train-mlogloss:0.005789+0.000420 test-mlogloss:1.271098+0.086919
## [323] train-mlogloss:0.005752+0.000412 test-mlogloss:1.272385+0.086896
## [324] train-mlogloss:0.005725+0.000412 test-mlogloss:1.273183+0.086688
## [325] train-mlogloss:0.005692+0.000402 test-mlogloss:1.273029+0.087052
## [326] train-mlogloss:0.005662+0.000402 test-mlogloss:1.273757+0.088117
## [327] train-mlogloss:0.005633+0.000391 test-mlogloss:1.274911+0.087651
## [328] train-mlogloss:0.005609+0.000389 test-mlogloss:1.274996+0.087782
## [329] train-mlogloss:0.005581+0.000382 test-mlogloss:1.276503+0.087770
## [330] train-mlogloss:0.005549+0.000384 test-mlogloss:1.277435+0.088062
## [331] train-mlogloss:0.005529+0.000372 test-mlogloss:1.278386+0.087978
## [332] train-mlogloss:0.005501+0.000367 test-mlogloss:1.278608+0.088040
## [333] train-mlogloss:0.005480+0.000373 test-mlogloss:1.278971+0.088524
## [334] train-mlogloss:0.005455+0.000367 test-mlogloss:1.279409+0.087812
## [335] train-mlogloss:0.005418+0.000363 test-mlogloss:1.279894+0.086620
## [336] train-mlogloss:0.005382+0.000354 test-mlogloss:1.280605+0.087470
## [337] train-mlogloss:0.005349+0.000341 test-mlogloss:1.281411+0.087774
## [338] train-mlogloss:0.005318+0.000336 test-mlogloss:1.282789+0.088663
## [339] train-mlogloss:0.005273+0.000337 test-mlogloss:1.282446+0.087889
## [340] train-mlogloss:0.005245+0.000333 test-mlogloss:1.283509+0.087849
## [341] train-mlogloss:0.005214+0.000325 test-mlogloss:1.284503+0.087096
## [342] train-mlogloss:0.005184+0.000313 test-mlogloss:1.286006+0.087109
## [343] train-mlogloss:0.005157+0.000308 test-mlogloss:1.286771+0.086718
## [344] train-mlogloss:0.005124+0.000310 test-mlogloss:1.287737+0.086744
## [345] train-mlogloss:0.005101+0.000310 test-mlogloss:1.288942+0.086255
## [346] train-mlogloss:0.005061+0.000304 test-mlogloss:1.290006+0.085944
## [347] train-mlogloss:0.005023+0.000311 test-mlogloss:1.290517+0.086080
## [348] train-mlogloss:0.004993+0.000313 test-mlogloss:1.291893+0.085220
## [349] train-mlogloss:0.004968+0.000309 test-mlogloss:1.293263+0.084681
## [350] train-mlogloss:0.004943+0.000312 test-mlogloss:1.294468+0.084828
## [351] train-mlogloss:0.004917+0.000311 test-mlogloss:1.294696+0.084944
## [352] train-mlogloss:0.004889+0.000319 test-mlogloss:1.295919+0.085821
## [353] train-mlogloss:0.004867+0.000324 test-mlogloss:1.295990+0.085828
## [354] train-mlogloss:0.004841+0.000320 test-mlogloss:1.296600+0.086773
## [355] train-mlogloss:0.004813+0.000312 test-mlogloss:1.298017+0.086568
## [356] train-mlogloss:0.004783+0.000316 test-mlogloss:1.298740+0.086695
## [357] train-mlogloss:0.004761+0.000316 test-mlogloss:1.299278+0.086953
## [358] train-mlogloss:0.004732+0.000314 test-mlogloss:1.299496+0.086856
## [359] train-mlogloss:0.004704+0.000318 test-mlogloss:1.299749+0.086984
## [360] train-mlogloss:0.004681+0.000307 test-mlogloss:1.301542+0.086653
## [361] train-mlogloss:0.004653+0.000299 test-mlogloss:1.301931+0.086882
## [362] train-mlogloss:0.004631+0.000293 test-mlogloss:1.303458+0.086974
## [363] train-mlogloss:0.004614+0.000296 test-mlogloss:1.304072+0.087411
## [364] train-mlogloss:0.004588+0.000292 test-mlogloss:1.304529+0.087596
## [365] train-mlogloss:0.004569+0.000283 test-mlogloss:1.304803+0.087681
## [366] train-mlogloss:0.004547+0.000282 test-mlogloss:1.305692+0.087997
## [367] train-mlogloss:0.004529+0.000286 test-mlogloss:1.305773+0.087816
## [368] train-mlogloss:0.004504+0.000290 test-mlogloss:1.305444+0.087033
## [369] train-mlogloss:0.004485+0.000292 test-mlogloss:1.306579+0.087591
## [370] train-mlogloss:0.004469+0.000293 test-mlogloss:1.307306+0.087937
## [371] train-mlogloss:0.004453+0.000289 test-mlogloss:1.307598+0.088281
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## [374] train-mlogloss:0.004381+0.000260 test-mlogloss:1.309724+0.087537
## [375] train-mlogloss:0.004358+0.000257 test-mlogloss:1.309674+0.087316
## [376] train-mlogloss:0.004338+0.000253 test-mlogloss:1.309938+0.087582
## [377] train-mlogloss:0.004315+0.000251 test-mlogloss:1.310762+0.087271
## [378] train-mlogloss:0.004297+0.000254 test-mlogloss:1.311234+0.087695
## [379] train-mlogloss:0.004284+0.000253 test-mlogloss:1.311874+0.087078
## [380] train-mlogloss:0.004262+0.000254 test-mlogloss:1.313310+0.087500
## [381] train-mlogloss:0.004246+0.000253 test-mlogloss:1.313635+0.087198
## [382] train-mlogloss:0.004230+0.000256 test-mlogloss:1.313780+0.087412
## [383] train-mlogloss:0.004217+0.000258 test-mlogloss:1.314545+0.087454
## [384] train-mlogloss:0.004194+0.000264 test-mlogloss:1.315456+0.088216
## [385] train-mlogloss:0.004178+0.000268 test-mlogloss:1.315358+0.088140
## [386] train-mlogloss:0.004162+0.000267 test-mlogloss:1.315843+0.087614
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## [388] train-mlogloss:0.004123+0.000264 test-mlogloss:1.317230+0.088226
## [389] train-mlogloss:0.004099+0.000259 test-mlogloss:1.317922+0.088581
## [390] train-mlogloss:0.004075+0.000254 test-mlogloss:1.318113+0.087362
## [391] train-mlogloss:0.004053+0.000253 test-mlogloss:1.318954+0.087142
## [392] train-mlogloss:0.004030+0.000247 test-mlogloss:1.319937+0.086154
## [393] train-mlogloss:0.004011+0.000246 test-mlogloss:1.320634+0.085866
## [394] train-mlogloss:0.003990+0.000245 test-mlogloss:1.321259+0.086892
## [395] train-mlogloss:0.003971+0.000242 test-mlogloss:1.321753+0.087293
## [396] train-mlogloss:0.003951+0.000236 test-mlogloss:1.322798+0.087462
## [397] train-mlogloss:0.003940+0.000236 test-mlogloss:1.322915+0.086922
## [398] train-mlogloss:0.003928+0.000235 test-mlogloss:1.323359+0.086918
## [399] train-mlogloss:0.003908+0.000227 test-mlogloss:1.323790+0.087227
## [400] train-mlogloss:0.003886+0.000226 test-mlogloss:1.324090+0.087036
## [401] train-mlogloss:0.003865+0.000221 test-mlogloss:1.324917+0.086282
## [402] train-mlogloss:0.003848+0.000211 test-mlogloss:1.325927+0.086209
## [403] train-mlogloss:0.003833+0.000211 test-mlogloss:1.325839+0.086394
## [404] train-mlogloss:0.003816+0.000214 test-mlogloss:1.326905+0.086063
## [405] train-mlogloss:0.003802+0.000216 test-mlogloss:1.327644+0.086143
## [406] train-mlogloss:0.003784+0.000212 test-mlogloss:1.328169+0.086245
## [407] train-mlogloss:0.003765+0.000211 test-mlogloss:1.328838+0.086140
## [408] train-mlogloss:0.003745+0.000212 test-mlogloss:1.330481+0.085757
## [409] train-mlogloss:0.003725+0.000212 test-mlogloss:1.330537+0.084763
## [410] train-mlogloss:0.003704+0.000210 test-mlogloss:1.331671+0.084382
## [411] train-mlogloss:0.003683+0.000205 test-mlogloss:1.332206+0.083992
## [412] train-mlogloss:0.003663+0.000197 test-mlogloss:1.333027+0.083538
## [413] train-mlogloss:0.003646+0.000196 test-mlogloss:1.333653+0.083751
## [414] train-mlogloss:0.003630+0.000193 test-mlogloss:1.335439+0.083439
## [415] train-mlogloss:0.003612+0.000191 test-mlogloss:1.335725+0.083930
## [416] train-mlogloss:0.003599+0.000191 test-mlogloss:1.336494+0.084122
## [417] train-mlogloss:0.003582+0.000193 test-mlogloss:1.336365+0.084626
## [418] train-mlogloss:0.003568+0.000189 test-mlogloss:1.337744+0.084084
## [419] train-mlogloss:0.003555+0.000187 test-mlogloss:1.337846+0.083780
## [420] train-mlogloss:0.003543+0.000190 test-mlogloss:1.339185+0.084695
## [421] train-mlogloss:0.003529+0.000190 test-mlogloss:1.339578+0.084786
## [422] train-mlogloss:0.003516+0.000188 test-mlogloss:1.339059+0.084857
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## [424] train-mlogloss:0.003486+0.000187 test-mlogloss:1.340675+0.085609
## [425] train-mlogloss:0.003475+0.000183 test-mlogloss:1.340668+0.085883
## [426] train-mlogloss:0.003457+0.000181 test-mlogloss:1.341552+0.085264
## [427] train-mlogloss:0.003443+0.000176 test-mlogloss:1.342415+0.084060
## [428] train-mlogloss:0.003433+0.000175 test-mlogloss:1.343435+0.083856
## [429] train-mlogloss:0.003419+0.000173 test-mlogloss:1.343848+0.083608
## [430] train-mlogloss:0.003405+0.000167 test-mlogloss:1.344601+0.083933
## [431] train-mlogloss:0.003393+0.000163 test-mlogloss:1.345448+0.083505
## [432] train-mlogloss:0.003380+0.000161 test-mlogloss:1.345871+0.083947
## [433] train-mlogloss:0.003369+0.000156 test-mlogloss:1.345926+0.084022
## [434] train-mlogloss:0.003357+0.000156 test-mlogloss:1.345844+0.084193
## [435] train-mlogloss:0.003341+0.000156 test-mlogloss:1.346918+0.084279
## [436] train-mlogloss:0.003330+0.000156 test-mlogloss:1.347763+0.084469
## [437] train-mlogloss:0.003316+0.000153 test-mlogloss:1.348079+0.084136
## [438] train-mlogloss:0.003302+0.000150 test-mlogloss:1.348320+0.084050
## [439] train-mlogloss:0.003288+0.000147 test-mlogloss:1.348900+0.083861
## [440] train-mlogloss:0.003276+0.000147 test-mlogloss:1.349660+0.083358
## [441] train-mlogloss:0.003264+0.000142 test-mlogloss:1.350614+0.083150
## [442] train-mlogloss:0.003250+0.000143 test-mlogloss:1.351505+0.083469
## [443] train-mlogloss:0.003235+0.000140 test-mlogloss:1.352382+0.083931
## [444] train-mlogloss:0.003223+0.000142 test-mlogloss:1.353257+0.084122
## [445] train-mlogloss:0.003208+0.000137 test-mlogloss:1.353968+0.083556
## [446] train-mlogloss:0.003196+0.000139 test-mlogloss:1.353824+0.083837
## [447] train-mlogloss:0.003180+0.000132 test-mlogloss:1.355109+0.083539
## [448] train-mlogloss:0.003167+0.000128 test-mlogloss:1.356159+0.083260
## [449] train-mlogloss:0.003157+0.000127 test-mlogloss:1.356661+0.081788
## [450] train-mlogloss:0.003142+0.000124 test-mlogloss:1.356156+0.082157
## [451] train-mlogloss:0.003132+0.000123 test-mlogloss:1.357348+0.082156
## [452] train-mlogloss:0.003122+0.000124 test-mlogloss:1.357565+0.082286
## [453] train-mlogloss:0.003113+0.000123 test-mlogloss:1.358142+0.082775
## [454] train-mlogloss:0.003101+0.000123 test-mlogloss:1.357594+0.082275
## [455] train-mlogloss:0.003090+0.000121 test-mlogloss:1.357860+0.082996
## [456] train-mlogloss:0.003080+0.000121 test-mlogloss:1.357904+0.083093
## [457] train-mlogloss:0.003068+0.000121 test-mlogloss:1.358789+0.083093
## [458] train-mlogloss:0.003056+0.000120 test-mlogloss:1.359770+0.083050
## [459] train-mlogloss:0.003042+0.000119 test-mlogloss:1.361117+0.083450
## [460] train-mlogloss:0.003030+0.000114 test-mlogloss:1.361694+0.082623
## [461] train-mlogloss:0.003020+0.000115 test-mlogloss:1.362434+0.083171
## [462] train-mlogloss:0.003011+0.000116 test-mlogloss:1.362483+0.083612
## [463] train-mlogloss:0.003003+0.000116 test-mlogloss:1.363332+0.084169
## [464] train-mlogloss:0.002997+0.000115 test-mlogloss:1.363470+0.083989
## [465] train-mlogloss:0.002987+0.000115 test-mlogloss:1.363637+0.083595
## [466] train-mlogloss:0.002977+0.000114 test-mlogloss:1.364308+0.083635
## [467] train-mlogloss:0.002967+0.000116 test-mlogloss:1.365251+0.083877
## [468] train-mlogloss:0.002956+0.000119 test-mlogloss:1.365909+0.083928
## [469] train-mlogloss:0.002945+0.000117 test-mlogloss:1.365836+0.083864
## [470] train-mlogloss:0.002935+0.000115 test-mlogloss:1.366565+0.083274
## [471] train-mlogloss:0.002926+0.000113 test-mlogloss:1.366535+0.083475
## [472] train-mlogloss:0.002916+0.000112 test-mlogloss:1.366689+0.083524
## [473] train-mlogloss:0.002907+0.000112 test-mlogloss:1.367259+0.083176
## [474] train-mlogloss:0.002897+0.000112 test-mlogloss:1.368157+0.083241
## [475] train-mlogloss:0.002888+0.000111 test-mlogloss:1.368497+0.083659
## [476] train-mlogloss:0.002877+0.000114 test-mlogloss:1.369161+0.084177
## [477] train-mlogloss:0.002865+0.000115 test-mlogloss:1.370376+0.083980
## [478] train-mlogloss:0.002854+0.000114 test-mlogloss:1.371501+0.083962
## [479] train-mlogloss:0.002844+0.000113 test-mlogloss:1.371179+0.083802
## [480] train-mlogloss:0.002835+0.000116 test-mlogloss:1.371651+0.084217
## [481] train-mlogloss:0.002827+0.000114 test-mlogloss:1.371948+0.085186
## [482] train-mlogloss:0.002819+0.000114 test-mlogloss:1.372617+0.084808
## [483] train-mlogloss:0.002809+0.000114 test-mlogloss:1.372516+0.084929
## [484] train-mlogloss:0.002799+0.000110 test-mlogloss:1.373093+0.085176
## [485] train-mlogloss:0.002788+0.000108 test-mlogloss:1.372983+0.085320
## [486] train-mlogloss:0.002780+0.000109 test-mlogloss:1.374118+0.085045
## [487] train-mlogloss:0.002773+0.000108 test-mlogloss:1.374742+0.085403
## [488] train-mlogloss:0.002763+0.000105 test-mlogloss:1.375220+0.086088
## [489] train-mlogloss:0.002753+0.000105 test-mlogloss:1.375859+0.086111
## [490] train-mlogloss:0.002746+0.000103 test-mlogloss:1.375893+0.085451
## [491] train-mlogloss:0.002735+0.000102 test-mlogloss:1.376309+0.085021
## [492] train-mlogloss:0.002725+0.000102 test-mlogloss:1.376924+0.085069
## [493] train-mlogloss:0.002713+0.000103 test-mlogloss:1.377801+0.085420
## [494] train-mlogloss:0.002705+0.000102 test-mlogloss:1.378234+0.085745
## [495] train-mlogloss:0.002697+0.000102 test-mlogloss:1.378818+0.086462
## [496] train-mlogloss:0.002689+0.000102 test-mlogloss:1.378606+0.086181
## [497] train-mlogloss:0.002680+0.000103 test-mlogloss:1.379243+0.086819
## [498] train-mlogloss:0.002672+0.000104 test-mlogloss:1.379579+0.086293
## [499] train-mlogloss:0.002664+0.000104 test-mlogloss:1.380385+0.086957
## [500] train-mlogloss:0.002658+0.000103 test-mlogloss:1.381094+0.087125
## [1] train-mlogloss:0.264793+0.009208 test-mlogloss:0.682450+0.004041
## [2] train-mlogloss:0.146792+0.003183 test-mlogloss:0.729420+0.003975
## [3] train-mlogloss:0.093863+0.002117 test-mlogloss:0.759546+0.011344
## [4] train-mlogloss:0.069246+0.001494 test-mlogloss:0.786203+0.017268
## [5] train-mlogloss:0.056493+0.003716 test-mlogloss:0.808348+0.021786
## [6] train-mlogloss:0.046772+0.003816 test-mlogloss:0.825426+0.019860
## [7] train-mlogloss:0.038237+0.002315 test-mlogloss:0.845478+0.021728
## [8] train-mlogloss:0.032620+0.001836 test-mlogloss:0.856615+0.019785
## [9] train-mlogloss:0.028203+0.001418 test-mlogloss:0.869817+0.019589
## [10] train-mlogloss:0.025252+0.001252 test-mlogloss:0.880168+0.021640
## [11] train-mlogloss:0.022563+0.001210 test-mlogloss:0.891918+0.025389
## [12] train-mlogloss:0.020260+0.000998 test-mlogloss:0.901946+0.026463
## [13] train-mlogloss:0.018523+0.000827 test-mlogloss:0.912065+0.027427
## [14] train-mlogloss:0.017013+0.000702 test-mlogloss:0.919971+0.028645
## [15] train-mlogloss:0.015803+0.000597 test-mlogloss:0.927210+0.030075
## [16] train-mlogloss:0.014774+0.000637 test-mlogloss:0.938043+0.029306
## [17] train-mlogloss:0.013835+0.000513 test-mlogloss:0.943273+0.030433
## [18] train-mlogloss:0.013017+0.000475 test-mlogloss:0.951926+0.031813
## [19] train-mlogloss:0.012254+0.000427 test-mlogloss:0.957623+0.033973
## [20] train-mlogloss:0.011634+0.000407 test-mlogloss:0.963588+0.033895
## [21] train-mlogloss:0.011050+0.000364 test-mlogloss:0.969089+0.034416
## [22] train-mlogloss:0.010514+0.000316 test-mlogloss:0.973883+0.036905
## [23] train-mlogloss:0.010048+0.000317 test-mlogloss:0.977744+0.037363
## [24] train-mlogloss:0.009624+0.000286 test-mlogloss:0.983086+0.039498
## [25] train-mlogloss:0.009257+0.000250 test-mlogloss:0.987633+0.038458
## [26] train-mlogloss:0.008908+0.000224 test-mlogloss:0.990738+0.037751
## [27] train-mlogloss:0.008595+0.000219 test-mlogloss:0.995375+0.037742
## [28] train-mlogloss:0.008285+0.000193 test-mlogloss:0.998806+0.035996
## [29] train-mlogloss:0.008004+0.000191 test-mlogloss:1.002543+0.034813
## [30] train-mlogloss:0.007757+0.000178 test-mlogloss:1.007609+0.034633
## [31] train-mlogloss:0.007517+0.000167 test-mlogloss:1.010488+0.035080
## [32] train-mlogloss:0.007293+0.000158 test-mlogloss:1.013392+0.036207
## [33] train-mlogloss:0.007079+0.000146 test-mlogloss:1.018795+0.036070
## [34] train-mlogloss:0.006872+0.000144 test-mlogloss:1.022274+0.036360
## [35] train-mlogloss:0.006689+0.000137 test-mlogloss:1.025118+0.037036
## [36] train-mlogloss:0.006511+0.000132 test-mlogloss:1.028645+0.036095
## [37] train-mlogloss:0.006362+0.000143 test-mlogloss:1.032578+0.036984
## [38] train-mlogloss:0.006214+0.000136 test-mlogloss:1.037305+0.036194
## [39] train-mlogloss:0.006059+0.000124 test-mlogloss:1.039660+0.037341
## [40] train-mlogloss:0.005922+0.000128 test-mlogloss:1.042363+0.037540
## [41] train-mlogloss:0.005798+0.000131 test-mlogloss:1.044460+0.036895
## [42] train-mlogloss:0.005681+0.000127 test-mlogloss:1.046152+0.035863
## [43] train-mlogloss:0.005557+0.000126 test-mlogloss:1.048734+0.037130
## [44] train-mlogloss:0.005447+0.000128 test-mlogloss:1.050736+0.038946
## [45] train-mlogloss:0.005335+0.000120 test-mlogloss:1.053266+0.038604
## [46] train-mlogloss:0.005235+0.000113 test-mlogloss:1.055168+0.038832
## [47] train-mlogloss:0.005142+0.000111 test-mlogloss:1.057292+0.039072
## [48] train-mlogloss:0.005051+0.000106 test-mlogloss:1.058604+0.039073
## [49] train-mlogloss:0.004964+0.000108 test-mlogloss:1.060747+0.038836
## [50] train-mlogloss:0.004877+0.000104 test-mlogloss:1.063167+0.040410
## [51] train-mlogloss:0.004797+0.000098 test-mlogloss:1.065221+0.039134
## [52] train-mlogloss:0.004724+0.000087 test-mlogloss:1.066887+0.039673
## [53] train-mlogloss:0.004651+0.000086 test-mlogloss:1.069469+0.040321
## [54] train-mlogloss:0.004582+0.000086 test-mlogloss:1.071592+0.041702
## [55] train-mlogloss:0.004518+0.000080 test-mlogloss:1.073420+0.041586
## [56] train-mlogloss:0.004454+0.000083 test-mlogloss:1.076292+0.041841
## [57] train-mlogloss:0.004392+0.000079 test-mlogloss:1.077626+0.041375
## [58] train-mlogloss:0.004330+0.000077 test-mlogloss:1.079260+0.041627
## [59] train-mlogloss:0.004271+0.000075 test-mlogloss:1.080001+0.042761
## [60] train-mlogloss:0.004213+0.000072 test-mlogloss:1.081948+0.042697
## [61] train-mlogloss:0.004158+0.000070 test-mlogloss:1.083689+0.042612
## [62] train-mlogloss:0.004102+0.000068 test-mlogloss:1.086111+0.043400
## [63] train-mlogloss:0.004049+0.000060 test-mlogloss:1.087304+0.043481
## [64] train-mlogloss:0.003996+0.000060 test-mlogloss:1.088570+0.043585
## [65] train-mlogloss:0.003948+0.000058 test-mlogloss:1.089678+0.042561
## [66] train-mlogloss:0.003900+0.000056 test-mlogloss:1.091942+0.043162
## [67] train-mlogloss:0.003856+0.000055 test-mlogloss:1.093890+0.043071
## [68] train-mlogloss:0.003810+0.000052 test-mlogloss:1.094965+0.043803
## [69] train-mlogloss:0.003766+0.000048 test-mlogloss:1.096797+0.043766
## [70] train-mlogloss:0.003725+0.000044 test-mlogloss:1.098514+0.044901
## [71] train-mlogloss:0.003685+0.000040 test-mlogloss:1.100351+0.044701
## [72] train-mlogloss:0.003644+0.000039 test-mlogloss:1.101162+0.044242
## [73] train-mlogloss:0.003603+0.000037 test-mlogloss:1.103296+0.044764
## [74] train-mlogloss:0.003567+0.000037 test-mlogloss:1.104623+0.045523
## [75] train-mlogloss:0.003531+0.000038 test-mlogloss:1.105594+0.046184
## [76] train-mlogloss:0.003496+0.000038 test-mlogloss:1.106857+0.045335
## [77] train-mlogloss:0.003461+0.000038 test-mlogloss:1.107916+0.045749
## [78] train-mlogloss:0.003427+0.000038 test-mlogloss:1.110037+0.045355
## [79] train-mlogloss:0.003394+0.000034 test-mlogloss:1.112267+0.045991
## [80] train-mlogloss:0.003363+0.000034 test-mlogloss:1.113741+0.046653
## [81] train-mlogloss:0.003333+0.000036 test-mlogloss:1.115531+0.046593
## [82] train-mlogloss:0.003305+0.000035 test-mlogloss:1.116274+0.046682
## [83] train-mlogloss:0.003276+0.000034 test-mlogloss:1.117762+0.046634
## [84] train-mlogloss:0.003246+0.000034 test-mlogloss:1.120073+0.046636
## [85] train-mlogloss:0.003217+0.000033 test-mlogloss:1.121227+0.046271
## [86] train-mlogloss:0.003188+0.000032 test-mlogloss:1.122826+0.046323
## [87] train-mlogloss:0.003162+0.000031 test-mlogloss:1.125206+0.046037
## [88] train-mlogloss:0.003136+0.000030 test-mlogloss:1.125735+0.046504
## [89] train-mlogloss:0.003111+0.000030 test-mlogloss:1.126330+0.047117
## [90] train-mlogloss:0.003086+0.000030 test-mlogloss:1.127333+0.046761
## [91] train-mlogloss:0.003059+0.000030 test-mlogloss:1.128393+0.046565
## [92] train-mlogloss:0.003035+0.000029 test-mlogloss:1.129528+0.046300
## [93] train-mlogloss:0.003010+0.000030 test-mlogloss:1.130731+0.046782
## [94] train-mlogloss:0.002988+0.000030 test-mlogloss:1.132078+0.047077
## [95] train-mlogloss:0.002963+0.000029 test-mlogloss:1.132391+0.047317
## [96] train-mlogloss:0.002941+0.000030 test-mlogloss:1.134239+0.047454
## [97] train-mlogloss:0.002920+0.000028 test-mlogloss:1.135872+0.046905
## [98] train-mlogloss:0.002899+0.000028 test-mlogloss:1.136870+0.047408
## [99] train-mlogloss:0.002879+0.000027 test-mlogloss:1.137843+0.046925
## [100] train-mlogloss:0.002859+0.000027 test-mlogloss:1.139099+0.046453
## [101] train-mlogloss:0.002838+0.000028 test-mlogloss:1.140068+0.046124
## [102] train-mlogloss:0.002817+0.000027 test-mlogloss:1.141090+0.046261
## [103] train-mlogloss:0.002797+0.000027 test-mlogloss:1.141910+0.046693
## [104] train-mlogloss:0.002777+0.000028 test-mlogloss:1.143299+0.045643
## [105] train-mlogloss:0.002759+0.000028 test-mlogloss:1.144731+0.046748
## [106] train-mlogloss:0.002742+0.000027 test-mlogloss:1.145247+0.046811
## [107] train-mlogloss:0.002722+0.000027 test-mlogloss:1.146136+0.045481
## [108] train-mlogloss:0.002706+0.000026 test-mlogloss:1.147608+0.045343
## [109] train-mlogloss:0.002688+0.000027 test-mlogloss:1.147993+0.045945
## [110] train-mlogloss:0.002671+0.000026 test-mlogloss:1.148633+0.046397
## [111] train-mlogloss:0.002653+0.000026 test-mlogloss:1.149861+0.045380
## [112] train-mlogloss:0.002637+0.000026 test-mlogloss:1.151207+0.045335
## [113] train-mlogloss:0.002621+0.000026 test-mlogloss:1.151911+0.045177
## [114] train-mlogloss:0.002605+0.000026 test-mlogloss:1.153380+0.045284
## [115] train-mlogloss:0.002589+0.000026 test-mlogloss:1.154721+0.045764
## [116] train-mlogloss:0.002575+0.000026 test-mlogloss:1.155758+0.045502
## [117] train-mlogloss:0.002559+0.000024 test-mlogloss:1.156308+0.045682
## [118] train-mlogloss:0.002544+0.000022 test-mlogloss:1.156878+0.045380
## [119] train-mlogloss:0.002530+0.000021 test-mlogloss:1.157757+0.045230
## [120] train-mlogloss:0.002516+0.000022 test-mlogloss:1.158954+0.045282
## [121] train-mlogloss:0.002501+0.000024 test-mlogloss:1.159425+0.045744
## [122] train-mlogloss:0.002485+0.000025 test-mlogloss:1.160587+0.045372
## [123] train-mlogloss:0.002473+0.000024 test-mlogloss:1.161709+0.044958
## [124] train-mlogloss:0.002460+0.000023 test-mlogloss:1.162467+0.044607
## [125] train-mlogloss:0.002447+0.000023 test-mlogloss:1.163709+0.045033
## [126] train-mlogloss:0.002432+0.000023 test-mlogloss:1.163943+0.045410
## [127] train-mlogloss:0.002419+0.000023 test-mlogloss:1.164966+0.044735
## [128] train-mlogloss:0.002406+0.000023 test-mlogloss:1.165770+0.045034
## [129] train-mlogloss:0.002392+0.000024 test-mlogloss:1.166347+0.045427
## [130] train-mlogloss:0.002380+0.000023 test-mlogloss:1.166707+0.046190
## [131] train-mlogloss:0.002367+0.000022 test-mlogloss:1.167186+0.046338
## [132] train-mlogloss:0.002354+0.000022 test-mlogloss:1.167560+0.046294
## [133] train-mlogloss:0.002341+0.000021 test-mlogloss:1.168102+0.047008
## [134] train-mlogloss:0.002329+0.000022 test-mlogloss:1.168939+0.046358
## [135] train-mlogloss:0.002318+0.000021 test-mlogloss:1.168906+0.046074
## [136] train-mlogloss:0.002307+0.000021 test-mlogloss:1.170407+0.046896
## [137] train-mlogloss:0.002295+0.000022 test-mlogloss:1.170713+0.047308
## [138] train-mlogloss:0.002283+0.000021 test-mlogloss:1.171917+0.047093
## [139] train-mlogloss:0.002272+0.000020 test-mlogloss:1.172729+0.046908
## [140] train-mlogloss:0.002262+0.000021 test-mlogloss:1.173581+0.047661
## [141] train-mlogloss:0.002252+0.000021 test-mlogloss:1.174383+0.048045
## [142] train-mlogloss:0.002241+0.000020 test-mlogloss:1.175204+0.047768
## [143] train-mlogloss:0.002230+0.000019 test-mlogloss:1.176526+0.048077
## [144] train-mlogloss:0.002220+0.000019 test-mlogloss:1.177023+0.048406
## [145] train-mlogloss:0.002210+0.000019 test-mlogloss:1.177701+0.048815
## [146] train-mlogloss:0.002200+0.000018 test-mlogloss:1.177812+0.048852
## [147] train-mlogloss:0.002191+0.000019 test-mlogloss:1.178666+0.049415
## [148] train-mlogloss:0.002181+0.000018 test-mlogloss:1.179565+0.049542
## [149] train-mlogloss:0.002171+0.000018 test-mlogloss:1.179775+0.049066
## [150] train-mlogloss:0.002161+0.000018 test-mlogloss:1.180596+0.049762
## [151] train-mlogloss:0.002152+0.000019 test-mlogloss:1.180927+0.049784
## [152] train-mlogloss:0.002143+0.000019 test-mlogloss:1.181480+0.049386
## [153] train-mlogloss:0.002134+0.000018 test-mlogloss:1.182224+0.049018
## [154] train-mlogloss:0.002124+0.000018 test-mlogloss:1.183221+0.049137
## [155] train-mlogloss:0.002114+0.000017 test-mlogloss:1.183722+0.049242
## [156] train-mlogloss:0.002104+0.000017 test-mlogloss:1.184544+0.049019
## [157] train-mlogloss:0.002096+0.000017 test-mlogloss:1.184991+0.049594
## [158] train-mlogloss:0.002088+0.000018 test-mlogloss:1.184938+0.049443
## [159] train-mlogloss:0.002080+0.000017 test-mlogloss:1.184978+0.049281
## [160] train-mlogloss:0.002071+0.000018 test-mlogloss:1.185215+0.048994
## [161] train-mlogloss:0.002063+0.000018 test-mlogloss:1.185429+0.048634
## [162] train-mlogloss:0.002055+0.000017 test-mlogloss:1.186152+0.049503
## [163] train-mlogloss:0.002046+0.000017 test-mlogloss:1.186494+0.049057
## [164] train-mlogloss:0.002038+0.000017 test-mlogloss:1.187594+0.048883
## [165] train-mlogloss:0.002029+0.000017 test-mlogloss:1.188703+0.049882
## [166] train-mlogloss:0.002021+0.000017 test-mlogloss:1.188707+0.049669
## [167] train-mlogloss:0.002014+0.000018 test-mlogloss:1.189121+0.050121
## [168] train-mlogloss:0.002005+0.000017 test-mlogloss:1.189560+0.049881
## [169] train-mlogloss:0.001998+0.000017 test-mlogloss:1.190488+0.049690
## [170] train-mlogloss:0.001990+0.000017 test-mlogloss:1.191313+0.049689
## [171] train-mlogloss:0.001982+0.000017 test-mlogloss:1.191530+0.049586
## [172] train-mlogloss:0.001974+0.000017 test-mlogloss:1.192361+0.049392
## [173] train-mlogloss:0.001966+0.000017 test-mlogloss:1.192423+0.048935
## [174] train-mlogloss:0.001959+0.000016 test-mlogloss:1.192454+0.048960
## [175] train-mlogloss:0.001952+0.000016 test-mlogloss:1.192793+0.048676
## [176] train-mlogloss:0.001945+0.000018 test-mlogloss:1.192780+0.049090
## [177] train-mlogloss:0.001938+0.000017 test-mlogloss:1.193604+0.049109
## [178] train-mlogloss:0.001932+0.000016 test-mlogloss:1.193773+0.049367
## [179] train-mlogloss:0.001925+0.000016 test-mlogloss:1.194064+0.049598
## [180] train-mlogloss:0.001919+0.000017 test-mlogloss:1.194784+0.049403
## [181] train-mlogloss:0.001912+0.000017 test-mlogloss:1.194898+0.049250
## [182] train-mlogloss:0.001905+0.000017 test-mlogloss:1.196395+0.049619
## [183] train-mlogloss:0.001898+0.000017 test-mlogloss:1.197097+0.050188
## [184] train-mlogloss:0.001891+0.000017 test-mlogloss:1.197478+0.050055
## [185] train-mlogloss:0.001883+0.000017 test-mlogloss:1.198328+0.049616
## [186] train-mlogloss:0.001877+0.000017 test-mlogloss:1.198786+0.050113
## [187] train-mlogloss:0.001870+0.000017 test-mlogloss:1.199556+0.049415
## [188] train-mlogloss:0.001864+0.000018 test-mlogloss:1.200035+0.049732
## [189] train-mlogloss:0.001856+0.000018 test-mlogloss:1.200440+0.049718
## [190] train-mlogloss:0.001850+0.000018 test-mlogloss:1.201416+0.049922
## [191] train-mlogloss:0.001844+0.000019 test-mlogloss:1.202122+0.049780
## [192] train-mlogloss:0.001838+0.000018 test-mlogloss:1.202469+0.049504
## [193] train-mlogloss:0.001831+0.000017 test-mlogloss:1.203183+0.049790
## [194] train-mlogloss:0.001825+0.000017 test-mlogloss:1.203907+0.050520
## [195] train-mlogloss:0.001820+0.000016 test-mlogloss:1.203988+0.050205
## [196] train-mlogloss:0.001813+0.000016 test-mlogloss:1.204405+0.050092
## [197] train-mlogloss:0.001807+0.000016 test-mlogloss:1.205128+0.050386
## [198] train-mlogloss:0.001801+0.000016 test-mlogloss:1.205595+0.051087
## [199] train-mlogloss:0.001795+0.000016 test-mlogloss:1.205058+0.051426
## [200] train-mlogloss:0.001789+0.000016 test-mlogloss:1.205280+0.051267
## [201] train-mlogloss:0.001784+0.000015 test-mlogloss:1.205889+0.051655
## [202] train-mlogloss:0.001778+0.000015 test-mlogloss:1.206545+0.051266
## [203] train-mlogloss:0.001773+0.000015 test-mlogloss:1.206955+0.051486
## [204] train-mlogloss:0.001768+0.000015 test-mlogloss:1.207092+0.051389
## [205] train-mlogloss:0.001763+0.000015 test-mlogloss:1.207231+0.052091
## [206] train-mlogloss:0.001757+0.000015 test-mlogloss:1.208073+0.052504
## [207] train-mlogloss:0.001752+0.000014 test-mlogloss:1.207880+0.052355
## [208] train-mlogloss:0.001747+0.000014 test-mlogloss:1.207888+0.052064
## [209] train-mlogloss:0.001742+0.000014 test-mlogloss:1.209104+0.052247
## [210] train-mlogloss:0.001737+0.000013 test-mlogloss:1.209946+0.052032
## [211] train-mlogloss:0.001731+0.000013 test-mlogloss:1.210914+0.052027
## [212] train-mlogloss:0.001727+0.000013 test-mlogloss:1.211493+0.052065
## [213] train-mlogloss:0.001722+0.000013 test-mlogloss:1.211829+0.052345
## [214] train-mlogloss:0.001717+0.000013 test-mlogloss:1.213181+0.052097
## [215] train-mlogloss:0.001711+0.000013 test-mlogloss:1.213496+0.051934
## [216] train-mlogloss:0.001706+0.000013 test-mlogloss:1.213771+0.051334
## [217] train-mlogloss:0.001702+0.000013 test-mlogloss:1.213887+0.051627
## [218] train-mlogloss:0.001697+0.000013 test-mlogloss:1.213938+0.051386
## [219] train-mlogloss:0.001692+0.000012 test-mlogloss:1.214573+0.052157
## [220] train-mlogloss:0.001688+0.000012 test-mlogloss:1.214994+0.051890
## [221] train-mlogloss:0.001683+0.000012 test-mlogloss:1.215220+0.051742
## [222] train-mlogloss:0.001678+0.000012 test-mlogloss:1.215624+0.052092
## [223] train-mlogloss:0.001674+0.000011 test-mlogloss:1.215685+0.052262
## [224] train-mlogloss:0.001669+0.000011 test-mlogloss:1.216255+0.052034
## [225] train-mlogloss:0.001665+0.000011 test-mlogloss:1.217111+0.051888
## [226] train-mlogloss:0.001660+0.000011 test-mlogloss:1.217595+0.051784
## [227] train-mlogloss:0.001656+0.000011 test-mlogloss:1.218173+0.051789
## [228] train-mlogloss:0.001652+0.000011 test-mlogloss:1.218388+0.052232
## [229] train-mlogloss:0.001648+0.000011 test-mlogloss:1.218802+0.052194
## [230] train-mlogloss:0.001643+0.000012 test-mlogloss:1.219698+0.051678
## [231] train-mlogloss:0.001639+0.000011 test-mlogloss:1.219565+0.051455
## [232] train-mlogloss:0.001634+0.000011 test-mlogloss:1.220431+0.052146
## [233] train-mlogloss:0.001630+0.000011 test-mlogloss:1.220399+0.052540
## [234] train-mlogloss:0.001626+0.000011 test-mlogloss:1.220703+0.052037
## [235] train-mlogloss:0.001621+0.000011 test-mlogloss:1.221091+0.052098
## [236] train-mlogloss:0.001617+0.000011 test-mlogloss:1.221515+0.052128
## [237] train-mlogloss:0.001612+0.000011 test-mlogloss:1.222001+0.052167
## [238] train-mlogloss:0.001608+0.000012 test-mlogloss:1.222277+0.051192
## [239] train-mlogloss:0.001604+0.000012 test-mlogloss:1.223229+0.051373
## [240] train-mlogloss:0.001600+0.000012 test-mlogloss:1.223487+0.051106
## [241] train-mlogloss:0.001596+0.000011 test-mlogloss:1.223877+0.051501
## [242] train-mlogloss:0.001592+0.000011 test-mlogloss:1.224335+0.051443
## [243] train-mlogloss:0.001588+0.000011 test-mlogloss:1.225112+0.052023
## [244] train-mlogloss:0.001584+0.000011 test-mlogloss:1.225713+0.051883
## [245] train-mlogloss:0.001580+0.000011 test-mlogloss:1.226111+0.051627
## [246] train-mlogloss:0.001576+0.000011 test-mlogloss:1.226650+0.051570
## [247] train-mlogloss:0.001572+0.000011 test-mlogloss:1.226790+0.051245
## [248] train-mlogloss:0.001568+0.000010 test-mlogloss:1.227045+0.051015
## [249] train-mlogloss:0.001564+0.000010 test-mlogloss:1.227570+0.050911
## [250] train-mlogloss:0.001560+0.000011 test-mlogloss:1.227811+0.051514
## [251] train-mlogloss:0.001557+0.000011 test-mlogloss:1.228262+0.052021
## [252] train-mlogloss:0.001553+0.000011 test-mlogloss:1.228714+0.051977
## [253] train-mlogloss:0.001549+0.000011 test-mlogloss:1.228743+0.052092
## [254] train-mlogloss:0.001545+0.000011 test-mlogloss:1.229102+0.051606
## [255] train-mlogloss:0.001541+0.000011 test-mlogloss:1.229727+0.051444
## [256] train-mlogloss:0.001537+0.000010 test-mlogloss:1.229854+0.051405
## [257] train-mlogloss:0.001534+0.000011 test-mlogloss:1.230450+0.050840
## [258] train-mlogloss:0.001531+0.000010 test-mlogloss:1.230910+0.050652
## [259] train-mlogloss:0.001527+0.000010 test-mlogloss:1.231129+0.050706
## [260] train-mlogloss:0.001523+0.000011 test-mlogloss:1.231166+0.050632
## [261] train-mlogloss:0.001520+0.000010 test-mlogloss:1.231489+0.050479
## [262] train-mlogloss:0.001516+0.000010 test-mlogloss:1.232294+0.050473
## [263] train-mlogloss:0.001513+0.000010 test-mlogloss:1.232277+0.050015
## [264] train-mlogloss:0.001510+0.000010 test-mlogloss:1.232726+0.050064
## [265] train-mlogloss:0.001506+0.000009 test-mlogloss:1.233337+0.050023
## [266] train-mlogloss:0.001503+0.000009 test-mlogloss:1.233945+0.050156
## [267] train-mlogloss:0.001500+0.000010 test-mlogloss:1.233923+0.050385
## [268] train-mlogloss:0.001497+0.000009 test-mlogloss:1.234377+0.050811
## [269] train-mlogloss:0.001493+0.000009 test-mlogloss:1.234895+0.050645
## [270] train-mlogloss:0.001490+0.000009 test-mlogloss:1.235471+0.051021
## [271] train-mlogloss:0.001487+0.000009 test-mlogloss:1.235974+0.051599
## [272] train-mlogloss:0.001484+0.000009 test-mlogloss:1.236559+0.051552
## [273] train-mlogloss:0.001481+0.000009 test-mlogloss:1.236741+0.051852
## [274] train-mlogloss:0.001478+0.000009 test-mlogloss:1.237229+0.052104
## [275] train-mlogloss:0.001475+0.000009 test-mlogloss:1.237507+0.051917
## [276] train-mlogloss:0.001472+0.000008 test-mlogloss:1.237896+0.052224
## [277] train-mlogloss:0.001469+0.000009 test-mlogloss:1.238420+0.052162
## [278] train-mlogloss:0.001465+0.000009 test-mlogloss:1.239120+0.052196
## [279] train-mlogloss:0.001462+0.000009 test-mlogloss:1.239463+0.052016
## [280] train-mlogloss:0.001459+0.000009 test-mlogloss:1.239515+0.052147
## [281] train-mlogloss:0.001456+0.000008 test-mlogloss:1.239768+0.052478
## [282] train-mlogloss:0.001453+0.000008 test-mlogloss:1.239543+0.052449
## [283] train-mlogloss:0.001450+0.000008 test-mlogloss:1.239710+0.052411
## [284] train-mlogloss:0.001447+0.000009 test-mlogloss:1.240550+0.052254
## [285] train-mlogloss:0.001444+0.000009 test-mlogloss:1.241065+0.052067
## [286] train-mlogloss:0.001441+0.000009 test-mlogloss:1.241061+0.051769
## [287] train-mlogloss:0.001439+0.000008 test-mlogloss:1.241676+0.051535
## [288] train-mlogloss:0.001436+0.000008 test-mlogloss:1.241877+0.051887
## [289] train-mlogloss:0.001433+0.000008 test-mlogloss:1.241905+0.051767
## [290] train-mlogloss:0.001430+0.000009 test-mlogloss:1.242462+0.051678
## [291] train-mlogloss:0.001426+0.000009 test-mlogloss:1.242526+0.052021
## [292] train-mlogloss:0.001424+0.000008 test-mlogloss:1.242757+0.051524
## [293] train-mlogloss:0.001421+0.000008 test-mlogloss:1.243043+0.051852
## [294] train-mlogloss:0.001418+0.000008 test-mlogloss:1.242805+0.051600
## [295] train-mlogloss:0.001415+0.000008 test-mlogloss:1.243470+0.051753
## [296] train-mlogloss:0.001412+0.000008 test-mlogloss:1.243683+0.052017
## [297] train-mlogloss:0.001410+0.000008 test-mlogloss:1.244504+0.051684
## [298] train-mlogloss:0.001407+0.000008 test-mlogloss:1.244859+0.051904
## [299] train-mlogloss:0.001404+0.000008 test-mlogloss:1.245011+0.051817
## [300] train-mlogloss:0.001402+0.000008 test-mlogloss:1.245695+0.051780
## [301] train-mlogloss:0.001399+0.000008 test-mlogloss:1.246238+0.051741
## [302] train-mlogloss:0.001397+0.000008 test-mlogloss:1.246481+0.051420
## [303] train-mlogloss:0.001394+0.000008 test-mlogloss:1.246978+0.051497
## [304] train-mlogloss:0.001391+0.000008 test-mlogloss:1.247169+0.051475
## [305] train-mlogloss:0.001388+0.000008 test-mlogloss:1.247227+0.051589
## [306] train-mlogloss:0.001386+0.000008 test-mlogloss:1.246848+0.051275
## [307] train-mlogloss:0.001384+0.000008 test-mlogloss:1.247025+0.051480
## [308] train-mlogloss:0.001381+0.000008 test-mlogloss:1.247191+0.051068
## [309] train-mlogloss:0.001378+0.000008 test-mlogloss:1.248182+0.050897
## [310] train-mlogloss:0.001375+0.000008 test-mlogloss:1.247984+0.051089
## [311] train-mlogloss:0.001373+0.000008 test-mlogloss:1.248449+0.051063
## [312] train-mlogloss:0.001371+0.000008 test-mlogloss:1.248425+0.050864
## [313] train-mlogloss:0.001368+0.000008 test-mlogloss:1.248794+0.050726
## [314] train-mlogloss:0.001366+0.000008 test-mlogloss:1.248648+0.050546
## [315] train-mlogloss:0.001363+0.000008 test-mlogloss:1.249200+0.050712
## [316] train-mlogloss:0.001360+0.000008 test-mlogloss:1.249343+0.050481
## [317] train-mlogloss:0.001358+0.000008 test-mlogloss:1.249613+0.050236
## [318] train-mlogloss:0.001356+0.000007 test-mlogloss:1.249927+0.050154
## [319] train-mlogloss:0.001353+0.000007 test-mlogloss:1.250363+0.050192
## [320] train-mlogloss:0.001351+0.000007 test-mlogloss:1.251118+0.050148
## [321] train-mlogloss:0.001349+0.000008 test-mlogloss:1.251436+0.050658
## [322] train-mlogloss:0.001346+0.000007 test-mlogloss:1.251272+0.050590
## [323] train-mlogloss:0.001344+0.000007 test-mlogloss:1.251783+0.050888
## [324] train-mlogloss:0.001341+0.000007 test-mlogloss:1.252101+0.050959
## [325] train-mlogloss:0.001339+0.000007 test-mlogloss:1.252651+0.050971
## [326] train-mlogloss:0.001336+0.000007 test-mlogloss:1.253101+0.051195
## [327] train-mlogloss:0.001334+0.000007 test-mlogloss:1.253300+0.051423
## [328] train-mlogloss:0.001332+0.000007 test-mlogloss:1.253702+0.051607
## [329] train-mlogloss:0.001329+0.000007 test-mlogloss:1.253859+0.052241
## [330] train-mlogloss:0.001327+0.000007 test-mlogloss:1.253662+0.052002
## [331] train-mlogloss:0.001325+0.000007 test-mlogloss:1.254176+0.051794
## [332] train-mlogloss:0.001322+0.000008 test-mlogloss:1.254732+0.051580
## [333] train-mlogloss:0.001320+0.000007 test-mlogloss:1.255051+0.051809
## [334] train-mlogloss:0.001318+0.000007 test-mlogloss:1.255453+0.051362
## [335] train-mlogloss:0.001316+0.000007 test-mlogloss:1.255922+0.051162
## [336] train-mlogloss:0.001314+0.000007 test-mlogloss:1.256258+0.051133
## [337] train-mlogloss:0.001312+0.000007 test-mlogloss:1.256356+0.051681
## [338] train-mlogloss:0.001309+0.000007 test-mlogloss:1.256664+0.051764
## [339] train-mlogloss:0.001308+0.000007 test-mlogloss:1.256811+0.052416
## [340] train-mlogloss:0.001305+0.000007 test-mlogloss:1.257062+0.052255
## [341] train-mlogloss:0.001303+0.000007 test-mlogloss:1.257425+0.052620
## [342] train-mlogloss:0.001301+0.000007 test-mlogloss:1.257174+0.052498
## [343] train-mlogloss:0.001299+0.000006 test-mlogloss:1.257714+0.052460
## [344] train-mlogloss:0.001297+0.000007 test-mlogloss:1.258103+0.052558
## [345] train-mlogloss:0.001295+0.000007 test-mlogloss:1.257975+0.052485
## [346] train-mlogloss:0.001293+0.000007 test-mlogloss:1.257894+0.052286
## [347] train-mlogloss:0.001291+0.000007 test-mlogloss:1.258062+0.051980
## [348] train-mlogloss:0.001289+0.000007 test-mlogloss:1.258490+0.051977
## [349] train-mlogloss:0.001287+0.000007 test-mlogloss:1.258775+0.052221
## [350] train-mlogloss:0.001285+0.000007 test-mlogloss:1.259470+0.052081
## [351] train-mlogloss:0.001283+0.000006 test-mlogloss:1.259595+0.051867
## [352] train-mlogloss:0.001281+0.000006 test-mlogloss:1.259775+0.051871
## [353] train-mlogloss:0.001278+0.000006 test-mlogloss:1.259854+0.051781
## [354] train-mlogloss:0.001276+0.000006 test-mlogloss:1.259998+0.051303
## [355] train-mlogloss:0.001274+0.000006 test-mlogloss:1.260242+0.051624
## [356] train-mlogloss:0.001272+0.000006 test-mlogloss:1.260622+0.051442
## [357] train-mlogloss:0.001270+0.000006 test-mlogloss:1.261174+0.051219
## [358] train-mlogloss:0.001268+0.000006 test-mlogloss:1.261313+0.051191
## [359] train-mlogloss:0.001266+0.000006 test-mlogloss:1.261499+0.051358
## [360] train-mlogloss:0.001264+0.000007 test-mlogloss:1.261690+0.051505
## [361] train-mlogloss:0.001262+0.000007 test-mlogloss:1.261587+0.051506
## [362] train-mlogloss:0.001260+0.000007 test-mlogloss:1.261824+0.051568
## [363] train-mlogloss:0.001258+0.000007 test-mlogloss:1.262432+0.051423
## [364] train-mlogloss:0.001256+0.000007 test-mlogloss:1.262287+0.051177
## [365] train-mlogloss:0.001255+0.000006 test-mlogloss:1.262305+0.050958
## [366] train-mlogloss:0.001253+0.000006 test-mlogloss:1.262417+0.050906
## [367] train-mlogloss:0.001251+0.000006 test-mlogloss:1.262768+0.050791
## [368] train-mlogloss:0.001249+0.000006 test-mlogloss:1.262776+0.051055
## [369] train-mlogloss:0.001248+0.000006 test-mlogloss:1.262817+0.050397
## [370] train-mlogloss:0.001246+0.000006 test-mlogloss:1.263320+0.050382
## [371] train-mlogloss:0.001244+0.000006 test-mlogloss:1.263670+0.050092
## [372] train-mlogloss:0.001242+0.000006 test-mlogloss:1.264095+0.050823
## [373] train-mlogloss:0.001241+0.000006 test-mlogloss:1.263973+0.050857
## [374] train-mlogloss:0.001239+0.000006 test-mlogloss:1.264060+0.050610
## [375] train-mlogloss:0.001237+0.000006 test-mlogloss:1.264537+0.050508
## [376] train-mlogloss:0.001235+0.000006 test-mlogloss:1.264567+0.050389
## [377] train-mlogloss:0.001234+0.000006 test-mlogloss:1.265290+0.050561
## [378] train-mlogloss:0.001232+0.000006 test-mlogloss:1.266045+0.050263
## [379] train-mlogloss:0.001230+0.000006 test-mlogloss:1.266335+0.050548
## [380] train-mlogloss:0.001229+0.000006 test-mlogloss:1.266369+0.050238
## [381] train-mlogloss:0.001227+0.000006 test-mlogloss:1.266411+0.050246
## [382] train-mlogloss:0.001226+0.000006 test-mlogloss:1.266648+0.050562
## [383] train-mlogloss:0.001224+0.000006 test-mlogloss:1.266877+0.050621
## [384] train-mlogloss:0.001222+0.000006 test-mlogloss:1.266811+0.050461
## [385] train-mlogloss:0.001221+0.000006 test-mlogloss:1.267179+0.050528
## [386] train-mlogloss:0.001219+0.000006 test-mlogloss:1.267319+0.050207
## [387] train-mlogloss:0.001218+0.000005 test-mlogloss:1.267335+0.050143
## [388] train-mlogloss:0.001215+0.000005 test-mlogloss:1.267664+0.050765
## [389] train-mlogloss:0.001214+0.000006 test-mlogloss:1.268273+0.050563
## [390] train-mlogloss:0.001212+0.000006 test-mlogloss:1.268444+0.050336
## [391] train-mlogloss:0.001210+0.000005 test-mlogloss:1.268184+0.050408
## [392] train-mlogloss:0.001208+0.000005 test-mlogloss:1.268880+0.050987
## [393] train-mlogloss:0.001207+0.000005 test-mlogloss:1.268819+0.050675
## [394] train-mlogloss:0.001205+0.000005 test-mlogloss:1.269117+0.050615
## [395] train-mlogloss:0.001204+0.000005 test-mlogloss:1.269383+0.050842
## [396] train-mlogloss:0.001202+0.000005 test-mlogloss:1.269328+0.050655
## [397] train-mlogloss:0.001200+0.000005 test-mlogloss:1.269573+0.050668
## [398] train-mlogloss:0.001199+0.000006 test-mlogloss:1.269661+0.050411
## [399] train-mlogloss:0.001197+0.000005 test-mlogloss:1.269957+0.050777
## [400] train-mlogloss:0.001196+0.000006 test-mlogloss:1.270476+0.050886
## [401] train-mlogloss:0.001194+0.000006 test-mlogloss:1.270644+0.050995
## [402] train-mlogloss:0.001192+0.000006 test-mlogloss:1.270942+0.051066
## [403] train-mlogloss:0.001191+0.000006 test-mlogloss:1.271027+0.051136
## [404] train-mlogloss:0.001189+0.000006 test-mlogloss:1.271395+0.050565
## [405] train-mlogloss:0.001188+0.000006 test-mlogloss:1.271730+0.050757
## [406] train-mlogloss:0.001186+0.000006 test-mlogloss:1.271831+0.050425
## [407] train-mlogloss:0.001185+0.000006 test-mlogloss:1.272118+0.050473
## [408] train-mlogloss:0.001183+0.000006 test-mlogloss:1.272223+0.051006
## [409] train-mlogloss:0.001182+0.000006 test-mlogloss:1.272286+0.050773
## [410] train-mlogloss:0.001180+0.000006 test-mlogloss:1.272628+0.050753
## [411] train-mlogloss:0.001178+0.000006 test-mlogloss:1.272601+0.051059
## [412] train-mlogloss:0.001177+0.000005 test-mlogloss:1.272653+0.051050
## [413] train-mlogloss:0.001176+0.000006 test-mlogloss:1.272543+0.051149
## [414] train-mlogloss:0.001174+0.000005 test-mlogloss:1.272972+0.051053
## [415] train-mlogloss:0.001173+0.000006 test-mlogloss:1.273087+0.051091
## [416] train-mlogloss:0.001171+0.000005 test-mlogloss:1.273268+0.051220
## [417] train-mlogloss:0.001170+0.000005 test-mlogloss:1.273288+0.051052
## [418] train-mlogloss:0.001168+0.000006 test-mlogloss:1.273219+0.051231
## [419] train-mlogloss:0.001167+0.000005 test-mlogloss:1.273456+0.051580
## [420] train-mlogloss:0.001165+0.000006 test-mlogloss:1.273822+0.051454
## [421] train-mlogloss:0.001164+0.000005 test-mlogloss:1.273915+0.051186
## [422] train-mlogloss:0.001163+0.000006 test-mlogloss:1.274122+0.051132
## [423] train-mlogloss:0.001161+0.000005 test-mlogloss:1.274391+0.051355
## [424] train-mlogloss:0.001160+0.000006 test-mlogloss:1.274495+0.051158
## [425] train-mlogloss:0.001158+0.000006 test-mlogloss:1.274825+0.051267
## [426] train-mlogloss:0.001157+0.000006 test-mlogloss:1.275621+0.051389
## [427] train-mlogloss:0.001155+0.000006 test-mlogloss:1.275702+0.051361
## [428] train-mlogloss:0.001154+0.000005 test-mlogloss:1.276004+0.051409
## [429] train-mlogloss:0.001152+0.000006 test-mlogloss:1.275969+0.051252
## [430] train-mlogloss:0.001151+0.000005 test-mlogloss:1.276224+0.051587
## [431] train-mlogloss:0.001149+0.000005 test-mlogloss:1.275797+0.051892
## [432] train-mlogloss:0.001148+0.000006 test-mlogloss:1.275941+0.052029
## [433] train-mlogloss:0.001147+0.000006 test-mlogloss:1.276069+0.051787
## [434] train-mlogloss:0.001145+0.000006 test-mlogloss:1.275955+0.051688
## [435] train-mlogloss:0.001144+0.000006 test-mlogloss:1.276025+0.051510
## [436] train-mlogloss:0.001143+0.000006 test-mlogloss:1.276339+0.051303
## [437] train-mlogloss:0.001141+0.000006 test-mlogloss:1.276524+0.051122
## [438] train-mlogloss:0.001140+0.000006 test-mlogloss:1.276783+0.051482
## [439] train-mlogloss:0.001139+0.000006 test-mlogloss:1.276752+0.051945
## [440] train-mlogloss:0.001137+0.000006 test-mlogloss:1.277029+0.051768
## [441] train-mlogloss:0.001136+0.000006 test-mlogloss:1.276942+0.051539
## [442] train-mlogloss:0.001135+0.000006 test-mlogloss:1.277618+0.051716
## [443] train-mlogloss:0.001133+0.000006 test-mlogloss:1.277960+0.051406
## [444] train-mlogloss:0.001132+0.000006 test-mlogloss:1.278061+0.051454
## [445] train-mlogloss:0.001130+0.000006 test-mlogloss:1.278213+0.051718
## [446] train-mlogloss:0.001129+0.000006 test-mlogloss:1.278784+0.051544
## [447] train-mlogloss:0.001128+0.000006 test-mlogloss:1.278931+0.051802
## [448] train-mlogloss:0.001126+0.000006 test-mlogloss:1.279204+0.051796
## [449] train-mlogloss:0.001125+0.000006 test-mlogloss:1.279400+0.051659
## [450] train-mlogloss:0.001124+0.000006 test-mlogloss:1.279575+0.051674
## [451] train-mlogloss:0.001122+0.000006 test-mlogloss:1.279931+0.051557
## [452] train-mlogloss:0.001121+0.000006 test-mlogloss:1.280452+0.051411
## [453] train-mlogloss:0.001120+0.000006 test-mlogloss:1.280371+0.051325
## [454] train-mlogloss:0.001118+0.000006 test-mlogloss:1.280570+0.051737
## [455] train-mlogloss:0.001117+0.000005 test-mlogloss:1.280940+0.051601
## [456] train-mlogloss:0.001116+0.000006 test-mlogloss:1.281247+0.051610
## [457] train-mlogloss:0.001115+0.000006 test-mlogloss:1.281242+0.051281
## [458] train-mlogloss:0.001113+0.000006 test-mlogloss:1.281647+0.051073
## [459] train-mlogloss:0.001112+0.000006 test-mlogloss:1.281210+0.051152
## [460] train-mlogloss:0.001111+0.000005 test-mlogloss:1.282041+0.051315
## [461] train-mlogloss:0.001109+0.000006 test-mlogloss:1.281962+0.051140
## [462] train-mlogloss:0.001108+0.000006 test-mlogloss:1.281603+0.050988
## [463] train-mlogloss:0.001107+0.000006 test-mlogloss:1.281963+0.051237
## [464] train-mlogloss:0.001106+0.000005 test-mlogloss:1.282483+0.051434
## [465] train-mlogloss:0.001105+0.000005 test-mlogloss:1.282650+0.051416
## [466] train-mlogloss:0.001104+0.000005 test-mlogloss:1.282594+0.051102
## [467] train-mlogloss:0.001103+0.000005 test-mlogloss:1.282453+0.050935
## [468] train-mlogloss:0.001101+0.000005 test-mlogloss:1.282940+0.050858
## [469] train-mlogloss:0.001100+0.000005 test-mlogloss:1.283192+0.050684
## [470] train-mlogloss:0.001099+0.000005 test-mlogloss:1.283289+0.050964
## [471] train-mlogloss:0.001097+0.000005 test-mlogloss:1.283802+0.050864
## [472] train-mlogloss:0.001096+0.000005 test-mlogloss:1.283967+0.051023
## [473] train-mlogloss:0.001095+0.000006 test-mlogloss:1.284161+0.051087
## [474] train-mlogloss:0.001094+0.000005 test-mlogloss:1.284562+0.051388
## [475] train-mlogloss:0.001093+0.000005 test-mlogloss:1.284584+0.051241
## [476] train-mlogloss:0.001092+0.000005 test-mlogloss:1.285065+0.051287
## [477] train-mlogloss:0.001090+0.000006 test-mlogloss:1.285080+0.051583
## [478] train-mlogloss:0.001089+0.000005 test-mlogloss:1.285371+0.051376
## [479] train-mlogloss:0.001088+0.000005 test-mlogloss:1.285483+0.051041
## [480] train-mlogloss:0.001086+0.000006 test-mlogloss:1.285556+0.050675
## [481] train-mlogloss:0.001085+0.000006 test-mlogloss:1.285925+0.050816
## [482] train-mlogloss:0.001084+0.000005 test-mlogloss:1.286292+0.051157
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## [484] train-mlogloss:0.001082+0.000005 test-mlogloss:1.286692+0.051798
## [485] train-mlogloss:0.001081+0.000005 test-mlogloss:1.286922+0.051684
## [486] train-mlogloss:0.001080+0.000006 test-mlogloss:1.286791+0.051588
## [487] train-mlogloss:0.001078+0.000005 test-mlogloss:1.287058+0.052065
## [488] train-mlogloss:0.001078+0.000005 test-mlogloss:1.287283+0.051752
## [489] train-mlogloss:0.001077+0.000005 test-mlogloss:1.287603+0.051701
## [490] train-mlogloss:0.001076+0.000005 test-mlogloss:1.287986+0.051459
## [491] train-mlogloss:0.001074+0.000005 test-mlogloss:1.287596+0.051496
## [492] train-mlogloss:0.001073+0.000005 test-mlogloss:1.288122+0.051889
## [493] train-mlogloss:0.001072+0.000005 test-mlogloss:1.288346+0.051935
## [494] train-mlogloss:0.001071+0.000005 test-mlogloss:1.288476+0.051670
## [495] train-mlogloss:0.001070+0.000005 test-mlogloss:1.288444+0.052012
## [496] train-mlogloss:0.001069+0.000005 test-mlogloss:1.288507+0.051767
## [497] train-mlogloss:0.001068+0.000005 test-mlogloss:1.288536+0.052065
## [498] train-mlogloss:0.001067+0.000005 test-mlogloss:1.288728+0.051834
## [499] train-mlogloss:0.001066+0.000005 test-mlogloss:1.288985+0.052132
## [500] train-mlogloss:0.001065+0.000005 test-mlogloss:1.289239+0.052016
## [1] train-mlogloss:0.615299+0.000790 test-mlogloss:0.621672+0.001461
## [2] train-mlogloss:0.572746+0.000712 test-mlogloss:0.584983+0.002296
## [3] train-mlogloss:0.544763+0.000447 test-mlogloss:0.562833+0.002121
## [4] train-mlogloss:0.526863+0.000608 test-mlogloss:0.550918+0.002383
## [5] train-mlogloss:0.514617+0.000832 test-mlogloss:0.543367+0.002950
## [6] train-mlogloss:0.505835+0.000874 test-mlogloss:0.539091+0.003475
## [7] train-mlogloss:0.498840+0.001151 test-mlogloss:0.536844+0.003931
## [8] train-mlogloss:0.493928+0.001039 test-mlogloss:0.536140+0.004058
## [9] train-mlogloss:0.488995+0.000997 test-mlogloss:0.535709+0.004768
## [10] train-mlogloss:0.485655+0.001201 test-mlogloss:0.535506+0.005008
## [11] train-mlogloss:0.481682+0.001265 test-mlogloss:0.535992+0.005193
## [12] train-mlogloss:0.478462+0.001166 test-mlogloss:0.536181+0.005132
## [13] train-mlogloss:0.474775+0.000928 test-mlogloss:0.537344+0.005452
## [14] train-mlogloss:0.471774+0.000737 test-mlogloss:0.537799+0.006429
## [15] train-mlogloss:0.468918+0.000382 test-mlogloss:0.538410+0.006044
## [16] train-mlogloss:0.466189+0.000696 test-mlogloss:0.539378+0.005620
## [17] train-mlogloss:0.462222+0.001391 test-mlogloss:0.539527+0.005859
## [18] train-mlogloss:0.459605+0.001300 test-mlogloss:0.540633+0.006121
## [19] train-mlogloss:0.457037+0.001423 test-mlogloss:0.540743+0.006105
## [20] train-mlogloss:0.455124+0.001599 test-mlogloss:0.540857+0.006290
## [21] train-mlogloss:0.452670+0.001350 test-mlogloss:0.541485+0.006290
## [22] train-mlogloss:0.449676+0.001610 test-mlogloss:0.542573+0.006339
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## [24] train-mlogloss:0.444539+0.001905 test-mlogloss:0.543201+0.006425
## [25] train-mlogloss:0.441778+0.002052 test-mlogloss:0.543779+0.006792
## [26] train-mlogloss:0.438992+0.001681 test-mlogloss:0.544336+0.006769
## [27] train-mlogloss:0.436202+0.001763 test-mlogloss:0.544949+0.006962
## [28] train-mlogloss:0.432984+0.001703 test-mlogloss:0.545857+0.006962
## [29] train-mlogloss:0.430126+0.002275 test-mlogloss:0.546235+0.006866
## [30] train-mlogloss:0.428020+0.002242 test-mlogloss:0.547071+0.006793
## [31] train-mlogloss:0.425122+0.002714 test-mlogloss:0.547864+0.006872
## [32] train-mlogloss:0.422633+0.002698 test-mlogloss:0.547957+0.007171
## [33] train-mlogloss:0.420700+0.002807 test-mlogloss:0.548618+0.007511
## [34] train-mlogloss:0.418244+0.002383 test-mlogloss:0.549405+0.007698
## [35] train-mlogloss:0.415870+0.002603 test-mlogloss:0.549324+0.007732
## [36] train-mlogloss:0.413421+0.002743 test-mlogloss:0.549626+0.007595
## [37] train-mlogloss:0.410994+0.002530 test-mlogloss:0.549837+0.007854
## [38] train-mlogloss:0.408866+0.002489 test-mlogloss:0.549791+0.006999
## [39] train-mlogloss:0.406171+0.002813 test-mlogloss:0.550577+0.007394
## [40] train-mlogloss:0.403744+0.002671 test-mlogloss:0.551322+0.007702
## [41] train-mlogloss:0.401200+0.002466 test-mlogloss:0.551447+0.007390
## [42] train-mlogloss:0.399260+0.002550 test-mlogloss:0.551981+0.007907
## [43] train-mlogloss:0.397103+0.002974 test-mlogloss:0.553199+0.007321
## [44] train-mlogloss:0.394809+0.003215 test-mlogloss:0.554229+0.007286
## [45] train-mlogloss:0.392764+0.002794 test-mlogloss:0.555101+0.007506
## [46] train-mlogloss:0.390964+0.002869 test-mlogloss:0.555271+0.008405
## [47] train-mlogloss:0.388611+0.002311 test-mlogloss:0.555926+0.009333
## [48] train-mlogloss:0.386474+0.001947 test-mlogloss:0.556454+0.009390
## [49] train-mlogloss:0.384195+0.002179 test-mlogloss:0.556905+0.008656
## [50] train-mlogloss:0.382093+0.001833 test-mlogloss:0.558242+0.009193
## [51] train-mlogloss:0.380075+0.001640 test-mlogloss:0.559219+0.009289
## [52] train-mlogloss:0.378153+0.001417 test-mlogloss:0.559477+0.009210
## [53] train-mlogloss:0.375891+0.001088 test-mlogloss:0.560098+0.009484
## [54] train-mlogloss:0.373914+0.000917 test-mlogloss:0.560628+0.010063
## [55] train-mlogloss:0.371900+0.001070 test-mlogloss:0.561249+0.010452
## [56] train-mlogloss:0.369597+0.001462 test-mlogloss:0.561804+0.010400
## [57] train-mlogloss:0.367629+0.001736 test-mlogloss:0.562315+0.010477
## [58] train-mlogloss:0.365585+0.002013 test-mlogloss:0.563186+0.010491
## [59] train-mlogloss:0.363643+0.001783 test-mlogloss:0.563762+0.010153
## [60] train-mlogloss:0.361482+0.002140 test-mlogloss:0.563833+0.010324
## [61] train-mlogloss:0.359853+0.001950 test-mlogloss:0.563912+0.011207
## [62] train-mlogloss:0.357728+0.002485 test-mlogloss:0.564805+0.010539
## [63] train-mlogloss:0.355631+0.002625 test-mlogloss:0.565255+0.010266
## [64] train-mlogloss:0.353480+0.002530 test-mlogloss:0.566492+0.010544
## [65] train-mlogloss:0.351748+0.002662 test-mlogloss:0.567679+0.010414
## [66] train-mlogloss:0.349821+0.002750 test-mlogloss:0.567827+0.010760
## [67] train-mlogloss:0.347980+0.002246 test-mlogloss:0.568336+0.010937
## [68] train-mlogloss:0.346342+0.002686 test-mlogloss:0.568633+0.011091
## [69] train-mlogloss:0.344897+0.002866 test-mlogloss:0.568958+0.011157
## [70] train-mlogloss:0.343009+0.003105 test-mlogloss:0.569336+0.011250
## [71] train-mlogloss:0.341224+0.003063 test-mlogloss:0.569472+0.011775
## [72] train-mlogloss:0.339335+0.003104 test-mlogloss:0.570473+0.011447
## [73] train-mlogloss:0.337458+0.003359 test-mlogloss:0.571001+0.011574
## [74] train-mlogloss:0.335425+0.003316 test-mlogloss:0.572248+0.012087
## [75] train-mlogloss:0.333189+0.002888 test-mlogloss:0.572857+0.011706
## [76] train-mlogloss:0.331649+0.002711 test-mlogloss:0.573892+0.011976
## [77] train-mlogloss:0.329601+0.003043 test-mlogloss:0.573801+0.012059
## [78] train-mlogloss:0.328147+0.002869 test-mlogloss:0.574077+0.011829
## [79] train-mlogloss:0.326702+0.002931 test-mlogloss:0.574458+0.012019
## [80] train-mlogloss:0.325000+0.002954 test-mlogloss:0.575734+0.012526
## [81] train-mlogloss:0.323081+0.003165 test-mlogloss:0.576216+0.012430
## [82] train-mlogloss:0.321007+0.003410 test-mlogloss:0.576891+0.012599
## [83] train-mlogloss:0.319265+0.003473 test-mlogloss:0.577272+0.012874
## [84] train-mlogloss:0.317943+0.003583 test-mlogloss:0.577469+0.012796
## [85] train-mlogloss:0.316044+0.003719 test-mlogloss:0.578069+0.012865
## [86] train-mlogloss:0.314619+0.003636 test-mlogloss:0.578797+0.013298
## [87] train-mlogloss:0.313020+0.003950 test-mlogloss:0.579348+0.013110
## [88] train-mlogloss:0.311558+0.003607 test-mlogloss:0.580091+0.012958
## [89] train-mlogloss:0.310149+0.003511 test-mlogloss:0.580024+0.012706
## [90] train-mlogloss:0.308199+0.003590 test-mlogloss:0.579649+0.013399
## [91] train-mlogloss:0.306523+0.003648 test-mlogloss:0.580531+0.013132
## [92] train-mlogloss:0.305010+0.004128 test-mlogloss:0.580808+0.013793
## [93] train-mlogloss:0.303659+0.004255 test-mlogloss:0.581064+0.013759
## [94] train-mlogloss:0.302382+0.004308 test-mlogloss:0.582037+0.013933
## [95] train-mlogloss:0.300900+0.004483 test-mlogloss:0.582945+0.014027
## [96] train-mlogloss:0.299336+0.004424 test-mlogloss:0.583393+0.013578
## [97] train-mlogloss:0.297531+0.004336 test-mlogloss:0.584424+0.013777
## [98] train-mlogloss:0.295791+0.004468 test-mlogloss:0.584920+0.013192
## [99] train-mlogloss:0.294239+0.004562 test-mlogloss:0.585778+0.013004
## [100] train-mlogloss:0.292654+0.004853 test-mlogloss:0.585954+0.013297
## [101] train-mlogloss:0.291100+0.004820 test-mlogloss:0.586357+0.013384
## [102] train-mlogloss:0.289711+0.004982 test-mlogloss:0.587036+0.013284
## [103] train-mlogloss:0.288153+0.004747 test-mlogloss:0.587826+0.012748
## [104] train-mlogloss:0.286602+0.004574 test-mlogloss:0.588130+0.012245
## [105] train-mlogloss:0.284850+0.004467 test-mlogloss:0.589088+0.012112
## [106] train-mlogloss:0.283498+0.004311 test-mlogloss:0.589874+0.012322
## [107] train-mlogloss:0.282067+0.004332 test-mlogloss:0.590062+0.012175
## [108] train-mlogloss:0.280791+0.004386 test-mlogloss:0.590367+0.011535
## [109] train-mlogloss:0.279490+0.004476 test-mlogloss:0.590201+0.011287
## [110] train-mlogloss:0.277932+0.004518 test-mlogloss:0.591342+0.012203
## [111] train-mlogloss:0.276550+0.004345 test-mlogloss:0.591583+0.012503
## [112] train-mlogloss:0.275058+0.004352 test-mlogloss:0.592107+0.012961
## [113] train-mlogloss:0.273451+0.004289 test-mlogloss:0.592656+0.012442
## [114] train-mlogloss:0.271719+0.004202 test-mlogloss:0.593212+0.012213
## [115] train-mlogloss:0.269939+0.004132 test-mlogloss:0.593810+0.012336
## [116] train-mlogloss:0.268609+0.003809 test-mlogloss:0.594548+0.012208
## [117] train-mlogloss:0.267379+0.003630 test-mlogloss:0.595089+0.012286
## [118] train-mlogloss:0.265932+0.003522 test-mlogloss:0.595553+0.011769
## [119] train-mlogloss:0.264784+0.003508 test-mlogloss:0.596116+0.012436
## [120] train-mlogloss:0.263270+0.003728 test-mlogloss:0.596591+0.012923
## [121] train-mlogloss:0.261877+0.004074 test-mlogloss:0.597854+0.013462
## [122] train-mlogloss:0.260807+0.004183 test-mlogloss:0.598219+0.013229
## [123] train-mlogloss:0.259567+0.004260 test-mlogloss:0.598664+0.013870
## [124] train-mlogloss:0.258154+0.004081 test-mlogloss:0.599466+0.014126
## [125] train-mlogloss:0.256709+0.003696 test-mlogloss:0.599912+0.014053
## [126] train-mlogloss:0.255391+0.003417 test-mlogloss:0.600628+0.014572
## [127] train-mlogloss:0.254202+0.003377 test-mlogloss:0.601130+0.014710
## [128] train-mlogloss:0.253046+0.003379 test-mlogloss:0.601825+0.014738
## [129] train-mlogloss:0.251737+0.003303 test-mlogloss:0.602204+0.014282
## [130] train-mlogloss:0.250426+0.003364 test-mlogloss:0.603126+0.014262
## [131] train-mlogloss:0.248999+0.003364 test-mlogloss:0.604218+0.014175
## [132] train-mlogloss:0.247755+0.003316 test-mlogloss:0.604972+0.014529
## [133] train-mlogloss:0.246604+0.003435 test-mlogloss:0.605158+0.014975
## [134] train-mlogloss:0.245431+0.003508 test-mlogloss:0.605853+0.014853
## [135] train-mlogloss:0.244131+0.003394 test-mlogloss:0.606320+0.016198
## [136] train-mlogloss:0.242954+0.003665 test-mlogloss:0.606334+0.016288
## [137] train-mlogloss:0.241566+0.003861 test-mlogloss:0.607296+0.016169
## [138] train-mlogloss:0.240545+0.003796 test-mlogloss:0.607832+0.016309
## [139] train-mlogloss:0.239680+0.003971 test-mlogloss:0.607781+0.016493
## [140] train-mlogloss:0.238577+0.003896 test-mlogloss:0.607682+0.016488
## [141] train-mlogloss:0.237476+0.004076 test-mlogloss:0.608620+0.016610
## [142] train-mlogloss:0.236313+0.004107 test-mlogloss:0.609720+0.016527
## [143] train-mlogloss:0.235170+0.003979 test-mlogloss:0.609962+0.016975
## [144] train-mlogloss:0.234133+0.004037 test-mlogloss:0.610285+0.016570
## [145] train-mlogloss:0.233121+0.004093 test-mlogloss:0.610936+0.016426
## [146] train-mlogloss:0.232106+0.004050 test-mlogloss:0.611126+0.016620
## [147] train-mlogloss:0.230958+0.003851 test-mlogloss:0.611536+0.017108
## [148] train-mlogloss:0.229800+0.003891 test-mlogloss:0.611469+0.017112
## [149] train-mlogloss:0.228671+0.003951 test-mlogloss:0.612026+0.017253
## [150] train-mlogloss:0.227692+0.003976 test-mlogloss:0.612793+0.017270
## [151] train-mlogloss:0.226621+0.004052 test-mlogloss:0.613175+0.017183
## [152] train-mlogloss:0.225450+0.004042 test-mlogloss:0.613844+0.017270
## [153] train-mlogloss:0.224100+0.003992 test-mlogloss:0.614209+0.016508
## [154] train-mlogloss:0.223014+0.003938 test-mlogloss:0.614465+0.016832
## [155] train-mlogloss:0.221887+0.003939 test-mlogloss:0.615383+0.016588
## [156] train-mlogloss:0.220916+0.003732 test-mlogloss:0.615673+0.016539
## [157] train-mlogloss:0.219617+0.003927 test-mlogloss:0.616519+0.016097
## [158] train-mlogloss:0.218712+0.004027 test-mlogloss:0.617064+0.015519
## [159] train-mlogloss:0.217675+0.003991 test-mlogloss:0.617692+0.015495
## [160] train-mlogloss:0.216824+0.004033 test-mlogloss:0.618202+0.015449
## [161] train-mlogloss:0.215934+0.003820 test-mlogloss:0.618877+0.015185
## [162] train-mlogloss:0.214823+0.003573 test-mlogloss:0.620014+0.014944
## [163] train-mlogloss:0.213973+0.003554 test-mlogloss:0.620498+0.015406
## [164] train-mlogloss:0.212995+0.003614 test-mlogloss:0.620550+0.015116
## [165] train-mlogloss:0.211991+0.003560 test-mlogloss:0.621708+0.015285
## [166] train-mlogloss:0.211074+0.003394 test-mlogloss:0.622487+0.015631
## [167] train-mlogloss:0.210046+0.003424 test-mlogloss:0.622781+0.015487
## [168] train-mlogloss:0.209081+0.003429 test-mlogloss:0.622686+0.015519
## [169] train-mlogloss:0.207870+0.003373 test-mlogloss:0.623370+0.015129
## [170] train-mlogloss:0.206880+0.003348 test-mlogloss:0.623755+0.015275
## [171] train-mlogloss:0.206022+0.003455 test-mlogloss:0.623950+0.015647
## [172] train-mlogloss:0.204992+0.003428 test-mlogloss:0.624393+0.015945
## [173] train-mlogloss:0.204040+0.003442 test-mlogloss:0.624880+0.015702
## [174] train-mlogloss:0.203234+0.003444 test-mlogloss:0.625811+0.015029
## [175] train-mlogloss:0.202147+0.003368 test-mlogloss:0.626816+0.015190
## [176] train-mlogloss:0.201018+0.003355 test-mlogloss:0.626915+0.014987
## [177] train-mlogloss:0.200026+0.003474 test-mlogloss:0.628141+0.015366
## [178] train-mlogloss:0.199033+0.003540 test-mlogloss:0.628355+0.015264
## [179] train-mlogloss:0.197913+0.003467 test-mlogloss:0.629231+0.016252
## [180] train-mlogloss:0.197018+0.003444 test-mlogloss:0.630105+0.016412
## [181] train-mlogloss:0.196285+0.003486 test-mlogloss:0.630632+0.016813
## [182] train-mlogloss:0.195395+0.003490 test-mlogloss:0.631588+0.016896
## [183] train-mlogloss:0.194436+0.003530 test-mlogloss:0.632312+0.016628
## [184] train-mlogloss:0.193443+0.003603 test-mlogloss:0.632653+0.017111
## [185] train-mlogloss:0.192525+0.003504 test-mlogloss:0.633567+0.017751
## [186] train-mlogloss:0.191637+0.003377 test-mlogloss:0.634734+0.017890
## [187] train-mlogloss:0.190596+0.003487 test-mlogloss:0.634764+0.017599
## [188] train-mlogloss:0.189738+0.003295 test-mlogloss:0.635313+0.017578
## [189] train-mlogloss:0.188859+0.003407 test-mlogloss:0.635442+0.017579
## [190] train-mlogloss:0.187942+0.003358 test-mlogloss:0.636312+0.017494
## [191] train-mlogloss:0.187102+0.003509 test-mlogloss:0.636689+0.017653
## [192] train-mlogloss:0.186343+0.003374 test-mlogloss:0.637297+0.017790
## [193] train-mlogloss:0.185483+0.003314 test-mlogloss:0.637655+0.017731
## [194] train-mlogloss:0.184615+0.003369 test-mlogloss:0.638214+0.017693
## [195] train-mlogloss:0.183998+0.003211 test-mlogloss:0.638938+0.017561
## [196] train-mlogloss:0.183154+0.003270 test-mlogloss:0.639305+0.017435
## [197] train-mlogloss:0.182515+0.003255 test-mlogloss:0.639412+0.017439
## [198] train-mlogloss:0.181730+0.003116 test-mlogloss:0.640530+0.017902
## [199] train-mlogloss:0.180890+0.003143 test-mlogloss:0.641046+0.018322
## [200] train-mlogloss:0.180114+0.003202 test-mlogloss:0.641382+0.018236
## [201] train-mlogloss:0.179503+0.003374 test-mlogloss:0.641627+0.017929
## [202] train-mlogloss:0.178755+0.003335 test-mlogloss:0.642554+0.018066
## [203] train-mlogloss:0.177849+0.003363 test-mlogloss:0.642950+0.018121
## [204] train-mlogloss:0.177088+0.003367 test-mlogloss:0.643630+0.017925
## [205] train-mlogloss:0.176270+0.003359 test-mlogloss:0.643877+0.017473
## [206] train-mlogloss:0.175399+0.003287 test-mlogloss:0.644849+0.018052
## [207] train-mlogloss:0.174574+0.003395 test-mlogloss:0.645942+0.018486
## [208] train-mlogloss:0.173823+0.003328 test-mlogloss:0.646532+0.017886
## [209] train-mlogloss:0.172883+0.003265 test-mlogloss:0.647204+0.017620
## [210] train-mlogloss:0.171983+0.003047 test-mlogloss:0.647875+0.017582
## [211] train-mlogloss:0.171199+0.003151 test-mlogloss:0.648177+0.017468
## [212] train-mlogloss:0.170349+0.002990 test-mlogloss:0.649038+0.017178
## [213] train-mlogloss:0.169579+0.003124 test-mlogloss:0.649263+0.016676
## [214] train-mlogloss:0.168776+0.003224 test-mlogloss:0.649494+0.016434
## [215] train-mlogloss:0.168003+0.003221 test-mlogloss:0.650081+0.015630
## [216] train-mlogloss:0.167022+0.003149 test-mlogloss:0.650841+0.015957
## [217] train-mlogloss:0.166324+0.003186 test-mlogloss:0.651473+0.015565
## [218] train-mlogloss:0.165508+0.003081 test-mlogloss:0.652321+0.015465
## [219] train-mlogloss:0.164543+0.002911 test-mlogloss:0.653446+0.015634
## [220] train-mlogloss:0.163740+0.003000 test-mlogloss:0.654081+0.015637
## [221] train-mlogloss:0.162991+0.003044 test-mlogloss:0.654545+0.016310
## [222] train-mlogloss:0.162315+0.002844 test-mlogloss:0.655602+0.016566
## [223] train-mlogloss:0.161690+0.002775 test-mlogloss:0.656300+0.016473
## [224] train-mlogloss:0.160894+0.002876 test-mlogloss:0.657227+0.016912
## [225] train-mlogloss:0.160280+0.003017 test-mlogloss:0.657778+0.017272
## [226] train-mlogloss:0.159518+0.003067 test-mlogloss:0.658304+0.017044
## [227] train-mlogloss:0.158775+0.003014 test-mlogloss:0.659003+0.016886
## [228] train-mlogloss:0.158096+0.003007 test-mlogloss:0.659689+0.017163
## [229] train-mlogloss:0.157518+0.003086 test-mlogloss:0.660000+0.016912
## [230] train-mlogloss:0.156717+0.002995 test-mlogloss:0.661279+0.016505
## [231] train-mlogloss:0.155975+0.003077 test-mlogloss:0.661921+0.016866
## [232] train-mlogloss:0.155260+0.003177 test-mlogloss:0.662110+0.017200
## [233] train-mlogloss:0.154666+0.003219 test-mlogloss:0.662643+0.017683
## [234] train-mlogloss:0.154005+0.003278 test-mlogloss:0.663064+0.017370
## [235] train-mlogloss:0.153483+0.003190 test-mlogloss:0.663265+0.017202
## [236] train-mlogloss:0.152820+0.003124 test-mlogloss:0.663552+0.017056
## [237] train-mlogloss:0.152225+0.003009 test-mlogloss:0.664220+0.016760
## [238] train-mlogloss:0.151473+0.002924 test-mlogloss:0.665227+0.016577
## [239] train-mlogloss:0.150902+0.002993 test-mlogloss:0.665721+0.016849
## [240] train-mlogloss:0.150315+0.002966 test-mlogloss:0.666600+0.016410
## [241] train-mlogloss:0.149629+0.002992 test-mlogloss:0.667203+0.016161
## [242] train-mlogloss:0.148972+0.002925 test-mlogloss:0.667829+0.015808
## [243] train-mlogloss:0.148390+0.002815 test-mlogloss:0.668058+0.015739
## [244] train-mlogloss:0.147735+0.002619 test-mlogloss:0.668720+0.015798
## [245] train-mlogloss:0.147152+0.002599 test-mlogloss:0.668872+0.015969
## [246] train-mlogloss:0.146552+0.002559 test-mlogloss:0.669145+0.015683
## [247] train-mlogloss:0.145980+0.002554 test-mlogloss:0.669303+0.015777
## [248] train-mlogloss:0.145324+0.002728 test-mlogloss:0.669943+0.016264
## [249] train-mlogloss:0.144706+0.002869 test-mlogloss:0.670136+0.016101
## [250] train-mlogloss:0.144058+0.002776 test-mlogloss:0.670778+0.016297
## [251] train-mlogloss:0.143358+0.002858 test-mlogloss:0.671648+0.016290
## [252] train-mlogloss:0.142792+0.003011 test-mlogloss:0.672255+0.016570
## [253] train-mlogloss:0.142099+0.003023 test-mlogloss:0.672752+0.016750
## [254] train-mlogloss:0.141561+0.003050 test-mlogloss:0.673271+0.016433
## [255] train-mlogloss:0.141029+0.002995 test-mlogloss:0.673619+0.016429
## [256] train-mlogloss:0.140294+0.002976 test-mlogloss:0.673634+0.016462
## [257] train-mlogloss:0.139657+0.002931 test-mlogloss:0.673935+0.015644
## [258] train-mlogloss:0.139030+0.002962 test-mlogloss:0.674371+0.015385
## [259] train-mlogloss:0.138350+0.002998 test-mlogloss:0.674714+0.015142
## [260] train-mlogloss:0.137738+0.002890 test-mlogloss:0.675523+0.015224
## [261] train-mlogloss:0.137092+0.002856 test-mlogloss:0.676300+0.014901
## [262] train-mlogloss:0.136482+0.002746 test-mlogloss:0.676418+0.014735
## [263] train-mlogloss:0.135911+0.002647 test-mlogloss:0.677175+0.014282
## [264] train-mlogloss:0.135267+0.002653 test-mlogloss:0.677609+0.015267
## [265] train-mlogloss:0.134610+0.002740 test-mlogloss:0.678059+0.015523
## [266] train-mlogloss:0.134097+0.002758 test-mlogloss:0.678866+0.016106
## [267] train-mlogloss:0.133482+0.002786 test-mlogloss:0.679543+0.015844
## [268] train-mlogloss:0.133027+0.002792 test-mlogloss:0.680200+0.016414
## [269] train-mlogloss:0.132547+0.002715 test-mlogloss:0.680994+0.016213
## [270] train-mlogloss:0.132026+0.002758 test-mlogloss:0.681331+0.015796
## [271] train-mlogloss:0.131527+0.002764 test-mlogloss:0.682113+0.015570
## [272] train-mlogloss:0.130828+0.002967 test-mlogloss:0.682840+0.015698
## [273] train-mlogloss:0.130361+0.002936 test-mlogloss:0.683479+0.016253
## [274] train-mlogloss:0.129746+0.002887 test-mlogloss:0.684440+0.016080
## [275] train-mlogloss:0.129081+0.002866 test-mlogloss:0.685100+0.016753
## [276] train-mlogloss:0.128437+0.002818 test-mlogloss:0.685175+0.017058
## [277] train-mlogloss:0.127944+0.002834 test-mlogloss:0.685576+0.017074
## [278] train-mlogloss:0.127385+0.002924 test-mlogloss:0.685673+0.017165
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## [280] train-mlogloss:0.126223+0.003007 test-mlogloss:0.686892+0.016952
## [281] train-mlogloss:0.125606+0.002932 test-mlogloss:0.687170+0.016807
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## [283] train-mlogloss:0.124701+0.002838 test-mlogloss:0.688305+0.016636
## [284] train-mlogloss:0.124278+0.002888 test-mlogloss:0.688710+0.016703
## [285] train-mlogloss:0.123843+0.002885 test-mlogloss:0.689107+0.016415
## [286] train-mlogloss:0.123297+0.002912 test-mlogloss:0.689748+0.016403
## [287] train-mlogloss:0.122816+0.002805 test-mlogloss:0.690609+0.016246
## [288] train-mlogloss:0.122138+0.002911 test-mlogloss:0.691432+0.016534
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## [290] train-mlogloss:0.121237+0.002908 test-mlogloss:0.692260+0.016210
## [291] train-mlogloss:0.120678+0.002878 test-mlogloss:0.693231+0.016202
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## [293] train-mlogloss:0.119723+0.002803 test-mlogloss:0.694486+0.016129
## [294] train-mlogloss:0.119303+0.002813 test-mlogloss:0.694665+0.016674
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## [296] train-mlogloss:0.118412+0.002778 test-mlogloss:0.695886+0.016899
## [297] train-mlogloss:0.117973+0.002830 test-mlogloss:0.696578+0.017453
## [298] train-mlogloss:0.117453+0.002782 test-mlogloss:0.696817+0.017072
## [299] train-mlogloss:0.116917+0.002801 test-mlogloss:0.697431+0.016873
## [300] train-mlogloss:0.116246+0.002743 test-mlogloss:0.698604+0.017175
## [301] train-mlogloss:0.115764+0.002816 test-mlogloss:0.698969+0.017311
## [302] train-mlogloss:0.115409+0.002816 test-mlogloss:0.699099+0.017189
## [303] train-mlogloss:0.114911+0.002909 test-mlogloss:0.699452+0.017063
## [304] train-mlogloss:0.114446+0.002914 test-mlogloss:0.699897+0.017392
## [305] train-mlogloss:0.114009+0.002939 test-mlogloss:0.700419+0.017388
## [306] train-mlogloss:0.113597+0.002891 test-mlogloss:0.700952+0.017346
## [307] train-mlogloss:0.113216+0.002882 test-mlogloss:0.701305+0.017792
## [308] train-mlogloss:0.112738+0.002857 test-mlogloss:0.701811+0.017335
## [309] train-mlogloss:0.112281+0.002771 test-mlogloss:0.701953+0.017293
## [310] train-mlogloss:0.111912+0.002729 test-mlogloss:0.702336+0.017504
## [311] train-mlogloss:0.111403+0.002753 test-mlogloss:0.702575+0.017562
## [312] train-mlogloss:0.110910+0.002687 test-mlogloss:0.702968+0.017458
## [313] train-mlogloss:0.110454+0.002700 test-mlogloss:0.703164+0.017492
## [314] train-mlogloss:0.109995+0.002743 test-mlogloss:0.703369+0.017795
## [315] train-mlogloss:0.109533+0.002719 test-mlogloss:0.704341+0.017721
## [316] train-mlogloss:0.109128+0.002670 test-mlogloss:0.704546+0.017618
## [317] train-mlogloss:0.108785+0.002698 test-mlogloss:0.705286+0.017573
## [318] train-mlogloss:0.108425+0.002637 test-mlogloss:0.705578+0.017645
## [319] train-mlogloss:0.107928+0.002539 test-mlogloss:0.706334+0.017612
## [320] train-mlogloss:0.107503+0.002430 test-mlogloss:0.707465+0.017963
## [321] train-mlogloss:0.107124+0.002417 test-mlogloss:0.707761+0.018201
## [322] train-mlogloss:0.106715+0.002459 test-mlogloss:0.708214+0.018086
## [323] train-mlogloss:0.106334+0.002479 test-mlogloss:0.708830+0.017529
## [324] train-mlogloss:0.105916+0.002447 test-mlogloss:0.709531+0.018128
## [325] train-mlogloss:0.105460+0.002413 test-mlogloss:0.709640+0.018605
## [326] train-mlogloss:0.105038+0.002396 test-mlogloss:0.710111+0.018806
## [327] train-mlogloss:0.104564+0.002285 test-mlogloss:0.710950+0.018902
## [328] train-mlogloss:0.104036+0.002252 test-mlogloss:0.711599+0.018931
## [329] train-mlogloss:0.103582+0.002244 test-mlogloss:0.712531+0.018563
## [330] train-mlogloss:0.103181+0.002272 test-mlogloss:0.712514+0.018544
## [331] train-mlogloss:0.102699+0.002223 test-mlogloss:0.712617+0.018209
## [332] train-mlogloss:0.102279+0.002214 test-mlogloss:0.713158+0.018213
## [333] train-mlogloss:0.101923+0.002189 test-mlogloss:0.713578+0.017890
## [334] train-mlogloss:0.101449+0.002199 test-mlogloss:0.714397+0.017537
## [335] train-mlogloss:0.101041+0.002138 test-mlogloss:0.715053+0.017141
## [336] train-mlogloss:0.100536+0.002130 test-mlogloss:0.715447+0.016641
## [337] train-mlogloss:0.100165+0.002110 test-mlogloss:0.715686+0.016465
## [338] train-mlogloss:0.099762+0.002119 test-mlogloss:0.716014+0.016501
## [339] train-mlogloss:0.099437+0.002157 test-mlogloss:0.716834+0.016742
## [340] train-mlogloss:0.099011+0.002074 test-mlogloss:0.717648+0.017075
## [341] train-mlogloss:0.098623+0.002086 test-mlogloss:0.717828+0.017564
## [342] train-mlogloss:0.098239+0.002142 test-mlogloss:0.718782+0.017491
## [343] train-mlogloss:0.097921+0.002124 test-mlogloss:0.719614+0.017360
## [344] train-mlogloss:0.097535+0.002165 test-mlogloss:0.719697+0.017605
## [345] train-mlogloss:0.097148+0.002148 test-mlogloss:0.719978+0.017126
## [346] train-mlogloss:0.096763+0.002148 test-mlogloss:0.720333+0.017360
## [347] train-mlogloss:0.096341+0.002125 test-mlogloss:0.720713+0.017132
## [348] train-mlogloss:0.095976+0.002124 test-mlogloss:0.721405+0.017169
## [349] train-mlogloss:0.095577+0.002127 test-mlogloss:0.722324+0.016942
## [350] train-mlogloss:0.095225+0.002108 test-mlogloss:0.722600+0.017519
## [351] train-mlogloss:0.094845+0.002029 test-mlogloss:0.722949+0.017467
## [352] train-mlogloss:0.094516+0.001991 test-mlogloss:0.723534+0.017195
## [353] train-mlogloss:0.094157+0.002032 test-mlogloss:0.723247+0.017584
## [354] train-mlogloss:0.093733+0.002000 test-mlogloss:0.723240+0.017446
## [355] train-mlogloss:0.093326+0.001937 test-mlogloss:0.723874+0.018225
## [356] train-mlogloss:0.092976+0.001970 test-mlogloss:0.724078+0.018566
## [357] train-mlogloss:0.092541+0.002042 test-mlogloss:0.724585+0.018233
## [358] train-mlogloss:0.092260+0.002029 test-mlogloss:0.725093+0.018312
## [359] train-mlogloss:0.091874+0.001989 test-mlogloss:0.725860+0.018250
## [360] train-mlogloss:0.091545+0.002053 test-mlogloss:0.726180+0.017869
## [361] train-mlogloss:0.091264+0.002018 test-mlogloss:0.726296+0.017768
## [362] train-mlogloss:0.090896+0.002072 test-mlogloss:0.726913+0.017688
## [363] train-mlogloss:0.090534+0.002031 test-mlogloss:0.727532+0.017974
## [364] train-mlogloss:0.090230+0.002002 test-mlogloss:0.728017+0.018088
## [365] train-mlogloss:0.089941+0.002064 test-mlogloss:0.728466+0.018165
## [366] train-mlogloss:0.089644+0.002023 test-mlogloss:0.729020+0.018021
## [367] train-mlogloss:0.089344+0.002097 test-mlogloss:0.729583+0.017906
## [368] train-mlogloss:0.089017+0.002108 test-mlogloss:0.729937+0.017492
## [369] train-mlogloss:0.088721+0.002128 test-mlogloss:0.730535+0.017199
## [370] train-mlogloss:0.088424+0.002114 test-mlogloss:0.730846+0.017273
## [371] train-mlogloss:0.088133+0.002143 test-mlogloss:0.731200+0.016917
## [372] train-mlogloss:0.087851+0.002186 test-mlogloss:0.731718+0.017294
## [373] train-mlogloss:0.087525+0.002135 test-mlogloss:0.731775+0.017385
## [374] train-mlogloss:0.087275+0.002144 test-mlogloss:0.732658+0.017137
## [375] train-mlogloss:0.086900+0.002034 test-mlogloss:0.733286+0.017129
## [376] train-mlogloss:0.086626+0.002040 test-mlogloss:0.733623+0.017391
## [377] train-mlogloss:0.086352+0.001996 test-mlogloss:0.734320+0.017893
## [378] train-mlogloss:0.085951+0.001986 test-mlogloss:0.734743+0.017883
## [379] train-mlogloss:0.085607+0.001997 test-mlogloss:0.735390+0.017780
## [380] train-mlogloss:0.085238+0.001965 test-mlogloss:0.736307+0.017619
## [381] train-mlogloss:0.084845+0.001977 test-mlogloss:0.737149+0.017614
## [382] train-mlogloss:0.084511+0.001973 test-mlogloss:0.737264+0.017562
## [383] train-mlogloss:0.084172+0.001939 test-mlogloss:0.738123+0.017356
## [384] train-mlogloss:0.083807+0.001906 test-mlogloss:0.739012+0.017227
## [385] train-mlogloss:0.083477+0.001903 test-mlogloss:0.739826+0.017508
## [386] train-mlogloss:0.083252+0.001919 test-mlogloss:0.739762+0.017647
## [387] train-mlogloss:0.082955+0.001885 test-mlogloss:0.740347+0.017404
## [388] train-mlogloss:0.082601+0.001859 test-mlogloss:0.740889+0.017428
## [389] train-mlogloss:0.082319+0.001833 test-mlogloss:0.741404+0.017428
## [390] train-mlogloss:0.082003+0.001874 test-mlogloss:0.742027+0.017634
## [391] train-mlogloss:0.081720+0.001845 test-mlogloss:0.742485+0.017267
## [392] train-mlogloss:0.081444+0.001870 test-mlogloss:0.743467+0.017175
## [393] train-mlogloss:0.081073+0.001915 test-mlogloss:0.743790+0.017055
## [394] train-mlogloss:0.080761+0.001944 test-mlogloss:0.744753+0.016933
## [395] train-mlogloss:0.080484+0.001976 test-mlogloss:0.745438+0.016618
## [396] train-mlogloss:0.080184+0.001948 test-mlogloss:0.745734+0.016581
## [397] train-mlogloss:0.079804+0.001972 test-mlogloss:0.746489+0.016952
## [398] train-mlogloss:0.079447+0.001957 test-mlogloss:0.747583+0.016882
## [399] train-mlogloss:0.079136+0.001964 test-mlogloss:0.748283+0.016893
## [400] train-mlogloss:0.078826+0.001928 test-mlogloss:0.748621+0.017206
## [401] train-mlogloss:0.078502+0.001942 test-mlogloss:0.748661+0.016923
## [402] train-mlogloss:0.078240+0.001932 test-mlogloss:0.748936+0.017111
## [403] train-mlogloss:0.077973+0.001938 test-mlogloss:0.749045+0.017193
## [404] train-mlogloss:0.077688+0.001888 test-mlogloss:0.749375+0.017275
## [405] train-mlogloss:0.077420+0.001950 test-mlogloss:0.749349+0.017151
## [406] train-mlogloss:0.077160+0.001923 test-mlogloss:0.749753+0.016570
## [407] train-mlogloss:0.076895+0.001875 test-mlogloss:0.750032+0.016535
## [408] train-mlogloss:0.076552+0.001866 test-mlogloss:0.750601+0.016301
## [409] train-mlogloss:0.076245+0.001800 test-mlogloss:0.751226+0.015992
## [410] train-mlogloss:0.075992+0.001810 test-mlogloss:0.751209+0.016295
## [411] train-mlogloss:0.075691+0.001818 test-mlogloss:0.752190+0.016307
## [412] train-mlogloss:0.075425+0.001772 test-mlogloss:0.752854+0.016300
## [413] train-mlogloss:0.075207+0.001739 test-mlogloss:0.753466+0.016154
## [414] train-mlogloss:0.074932+0.001726 test-mlogloss:0.753968+0.016089
## [415] train-mlogloss:0.074664+0.001687 test-mlogloss:0.754292+0.016564
## [416] train-mlogloss:0.074407+0.001707 test-mlogloss:0.754349+0.016374
## [417] train-mlogloss:0.074157+0.001724 test-mlogloss:0.754768+0.016333
## [418] train-mlogloss:0.073894+0.001767 test-mlogloss:0.755008+0.016290
## [419] train-mlogloss:0.073623+0.001728 test-mlogloss:0.755645+0.016929
## [420] train-mlogloss:0.073414+0.001745 test-mlogloss:0.756542+0.016621
## [421] train-mlogloss:0.073250+0.001745 test-mlogloss:0.756651+0.016840
## [422] train-mlogloss:0.072999+0.001700 test-mlogloss:0.756892+0.016999
## [423] train-mlogloss:0.072736+0.001655 test-mlogloss:0.757230+0.016853
## [424] train-mlogloss:0.072492+0.001609 test-mlogloss:0.758217+0.016831
## [425] train-mlogloss:0.072283+0.001621 test-mlogloss:0.758921+0.016572
## [426] train-mlogloss:0.072034+0.001633 test-mlogloss:0.759428+0.016359
## [427] train-mlogloss:0.071809+0.001642 test-mlogloss:0.760059+0.015842
## [428] train-mlogloss:0.071515+0.001639 test-mlogloss:0.760363+0.015394
## [429] train-mlogloss:0.071286+0.001647 test-mlogloss:0.760597+0.015076
## [430] train-mlogloss:0.071009+0.001688 test-mlogloss:0.761055+0.015078
## [431] train-mlogloss:0.070794+0.001690 test-mlogloss:0.761243+0.014713
## [432] train-mlogloss:0.070534+0.001686 test-mlogloss:0.761836+0.015014
## [433] train-mlogloss:0.070273+0.001722 test-mlogloss:0.762153+0.014572
## [434] train-mlogloss:0.070019+0.001681 test-mlogloss:0.762663+0.014532
## [435] train-mlogloss:0.069763+0.001646 test-mlogloss:0.763080+0.014406
## [436] train-mlogloss:0.069542+0.001663 test-mlogloss:0.763910+0.014066
## [437] train-mlogloss:0.069249+0.001696 test-mlogloss:0.764740+0.013908
## [438] train-mlogloss:0.069000+0.001699 test-mlogloss:0.765088+0.014014
## [439] train-mlogloss:0.068704+0.001732 test-mlogloss:0.765544+0.014319
## [440] train-mlogloss:0.068501+0.001719 test-mlogloss:0.765914+0.014539
## [441] train-mlogloss:0.068214+0.001691 test-mlogloss:0.766214+0.014630
## [442] train-mlogloss:0.067996+0.001694 test-mlogloss:0.766841+0.014689
## [443] train-mlogloss:0.067719+0.001670 test-mlogloss:0.767402+0.014626
## [444] train-mlogloss:0.067484+0.001683 test-mlogloss:0.767949+0.014403
## [445] train-mlogloss:0.067273+0.001663 test-mlogloss:0.768887+0.014627
## [446] train-mlogloss:0.067054+0.001667 test-mlogloss:0.769654+0.014555
## [447] train-mlogloss:0.066883+0.001707 test-mlogloss:0.770054+0.014077
## [448] train-mlogloss:0.066701+0.001717 test-mlogloss:0.770242+0.014371
## [449] train-mlogloss:0.066498+0.001734 test-mlogloss:0.770912+0.014248
## [450] train-mlogloss:0.066294+0.001694 test-mlogloss:0.771619+0.014239
## [451] train-mlogloss:0.066088+0.001703 test-mlogloss:0.771895+0.014597
## [452] train-mlogloss:0.065824+0.001711 test-mlogloss:0.772315+0.014336
## [453] train-mlogloss:0.065614+0.001738 test-mlogloss:0.772939+0.014515
## [454] train-mlogloss:0.065383+0.001733 test-mlogloss:0.773303+0.014926
## [455] train-mlogloss:0.065162+0.001719 test-mlogloss:0.773349+0.014921
## [456] train-mlogloss:0.064946+0.001726 test-mlogloss:0.773730+0.015068
## [457] train-mlogloss:0.064738+0.001746 test-mlogloss:0.773902+0.014824
## [458] train-mlogloss:0.064544+0.001665 test-mlogloss:0.774197+0.014790
## [459] train-mlogloss:0.064328+0.001676 test-mlogloss:0.774548+0.014581
## [460] train-mlogloss:0.064098+0.001671 test-mlogloss:0.774642+0.014550
## [461] train-mlogloss:0.063892+0.001667 test-mlogloss:0.775350+0.014643
## [462] train-mlogloss:0.063720+0.001622 test-mlogloss:0.775943+0.014539
## [463] train-mlogloss:0.063543+0.001583 test-mlogloss:0.776722+0.014835
## [464] train-mlogloss:0.063353+0.001610 test-mlogloss:0.776882+0.014449
## [465] train-mlogloss:0.063120+0.001614 test-mlogloss:0.777318+0.014891
## [466] train-mlogloss:0.062936+0.001561 test-mlogloss:0.777773+0.015151
## [467] train-mlogloss:0.062671+0.001561 test-mlogloss:0.778202+0.014357
## [468] train-mlogloss:0.062447+0.001568 test-mlogloss:0.778773+0.014623
## [469] train-mlogloss:0.062220+0.001580 test-mlogloss:0.779072+0.014612
## [470] train-mlogloss:0.061986+0.001597 test-mlogloss:0.779387+0.014844
## [471] train-mlogloss:0.061808+0.001568 test-mlogloss:0.779724+0.014763
## [472] train-mlogloss:0.061609+0.001540 test-mlogloss:0.780400+0.014440
## [473] train-mlogloss:0.061401+0.001549 test-mlogloss:0.780488+0.014111
## [474] train-mlogloss:0.061191+0.001537 test-mlogloss:0.780783+0.014186
## [475] train-mlogloss:0.060962+0.001534 test-mlogloss:0.781094+0.014323
## [476] train-mlogloss:0.060765+0.001528 test-mlogloss:0.781405+0.014316
## [477] train-mlogloss:0.060578+0.001516 test-mlogloss:0.781314+0.014255
## [478] train-mlogloss:0.060387+0.001530 test-mlogloss:0.781703+0.013886
## [479] train-mlogloss:0.060162+0.001549 test-mlogloss:0.782229+0.014273
## [480] train-mlogloss:0.059988+0.001532 test-mlogloss:0.782393+0.014165
## [481] train-mlogloss:0.059807+0.001518 test-mlogloss:0.782957+0.013811
## [482] train-mlogloss:0.059630+0.001557 test-mlogloss:0.783386+0.013474
## [483] train-mlogloss:0.059449+0.001546 test-mlogloss:0.783687+0.013155
## [484] train-mlogloss:0.059261+0.001562 test-mlogloss:0.784075+0.012993
## [485] train-mlogloss:0.059081+0.001565 test-mlogloss:0.784187+0.012894
## [486] train-mlogloss:0.058897+0.001545 test-mlogloss:0.784556+0.012911
## [487] train-mlogloss:0.058713+0.001563 test-mlogloss:0.785424+0.012899
## [488] train-mlogloss:0.058552+0.001585 test-mlogloss:0.785554+0.012866
## [489] train-mlogloss:0.058365+0.001578 test-mlogloss:0.786307+0.012536
## [490] train-mlogloss:0.058182+0.001538 test-mlogloss:0.786743+0.012750
## [491] train-mlogloss:0.058029+0.001512 test-mlogloss:0.787401+0.012766
## [492] train-mlogloss:0.057831+0.001514 test-mlogloss:0.787969+0.012534
## [493] train-mlogloss:0.057637+0.001499 test-mlogloss:0.788528+0.012274
## [494] train-mlogloss:0.057444+0.001474 test-mlogloss:0.789197+0.012236
## [495] train-mlogloss:0.057288+0.001478 test-mlogloss:0.789660+0.012324
## [496] train-mlogloss:0.057057+0.001474 test-mlogloss:0.789950+0.011739
## [497] train-mlogloss:0.056874+0.001469 test-mlogloss:0.789734+0.012021
## [498] train-mlogloss:0.056729+0.001450 test-mlogloss:0.790084+0.011864
## [499] train-mlogloss:0.056564+0.001448 test-mlogloss:0.790279+0.012005
## [500] train-mlogloss:0.056393+0.001410 test-mlogloss:0.791030+0.012515
## [1] train-mlogloss:0.582694+0.002295 test-mlogloss:0.629206+0.001567
## [2] train-mlogloss:0.510975+0.002604 test-mlogloss:0.596217+0.002437
## [3] train-mlogloss:0.455808+0.003117 test-mlogloss:0.579387+0.003758
## [4] train-mlogloss:0.412327+0.003688 test-mlogloss:0.570038+0.004118
## [5] train-mlogloss:0.377846+0.003090 test-mlogloss:0.564483+0.005524
## [6] train-mlogloss:0.349275+0.002828 test-mlogloss:0.563248+0.006694
## [7] train-mlogloss:0.324588+0.002982 test-mlogloss:0.565385+0.007242
## [8] train-mlogloss:0.303138+0.002129 test-mlogloss:0.568435+0.007309
## [9] train-mlogloss:0.285189+0.001531 test-mlogloss:0.571413+0.008242
## [10] train-mlogloss:0.268966+0.001068 test-mlogloss:0.574133+0.008818
## [11] train-mlogloss:0.254005+0.001101 test-mlogloss:0.578031+0.009956
## [12] train-mlogloss:0.240893+0.002104 test-mlogloss:0.581002+0.009848
## [13] train-mlogloss:0.229602+0.002711 test-mlogloss:0.585349+0.011247
## [14] train-mlogloss:0.218936+0.003909 test-mlogloss:0.589246+0.011653
## [15] train-mlogloss:0.209163+0.003957 test-mlogloss:0.591689+0.011342
## [16] train-mlogloss:0.200822+0.003617 test-mlogloss:0.593848+0.011980
## [17] train-mlogloss:0.192332+0.003609 test-mlogloss:0.596902+0.011307
## [18] train-mlogloss:0.184273+0.003497 test-mlogloss:0.600312+0.010898
## [19] train-mlogloss:0.176145+0.003000 test-mlogloss:0.603511+0.010802
## [20] train-mlogloss:0.168726+0.002646 test-mlogloss:0.606576+0.010001
## [21] train-mlogloss:0.162029+0.002698 test-mlogloss:0.609302+0.010875
## [22] train-mlogloss:0.156134+0.002428 test-mlogloss:0.613363+0.010938
## [23] train-mlogloss:0.149786+0.002702 test-mlogloss:0.615721+0.011847
## [24] train-mlogloss:0.144149+0.002352 test-mlogloss:0.617946+0.011497
## [25] train-mlogloss:0.138881+0.002301 test-mlogloss:0.620788+0.011647
## [26] train-mlogloss:0.133567+0.002359 test-mlogloss:0.624273+0.012359
## [27] train-mlogloss:0.128860+0.002257 test-mlogloss:0.627166+0.012881
## [28] train-mlogloss:0.124316+0.002352 test-mlogloss:0.629978+0.013391
## [29] train-mlogloss:0.120422+0.002429 test-mlogloss:0.632679+0.013353
## [30] train-mlogloss:0.116399+0.002152 test-mlogloss:0.636326+0.013178
## [31] train-mlogloss:0.112704+0.001912 test-mlogloss:0.639558+0.013167
## [32] train-mlogloss:0.109395+0.001837 test-mlogloss:0.641888+0.013013
## [33] train-mlogloss:0.106136+0.001824 test-mlogloss:0.644054+0.012467
## [34] train-mlogloss:0.102984+0.001638 test-mlogloss:0.646551+0.011760
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## [36] train-mlogloss:0.096962+0.001415 test-mlogloss:0.651999+0.012587
## [37] train-mlogloss:0.094365+0.001364 test-mlogloss:0.654725+0.012821
## [38] train-mlogloss:0.091859+0.001342 test-mlogloss:0.656568+0.013383
## [39] train-mlogloss:0.089412+0.001271 test-mlogloss:0.658877+0.014200
## [40] train-mlogloss:0.087102+0.001349 test-mlogloss:0.661043+0.014309
## [41] train-mlogloss:0.084940+0.001272 test-mlogloss:0.663707+0.013492
## [42] train-mlogloss:0.082936+0.001247 test-mlogloss:0.665844+0.014192
## [43] train-mlogloss:0.080885+0.001150 test-mlogloss:0.668308+0.015050
## [44] train-mlogloss:0.079027+0.001189 test-mlogloss:0.670172+0.015162
## [45] train-mlogloss:0.077192+0.001066 test-mlogloss:0.672950+0.014595
## [46] train-mlogloss:0.075458+0.001105 test-mlogloss:0.674773+0.014682
## [47] train-mlogloss:0.073860+0.001044 test-mlogloss:0.676184+0.014864
## [48] train-mlogloss:0.072345+0.000969 test-mlogloss:0.677599+0.014738
## [49] train-mlogloss:0.070762+0.000916 test-mlogloss:0.679909+0.015149
## [50] train-mlogloss:0.069343+0.000935 test-mlogloss:0.681902+0.015137
## [51] train-mlogloss:0.067999+0.000885 test-mlogloss:0.684085+0.015966
## [52] train-mlogloss:0.066738+0.000842 test-mlogloss:0.686112+0.016400
## [53] train-mlogloss:0.065411+0.000788 test-mlogloss:0.687548+0.015751
## [54] train-mlogloss:0.064236+0.000820 test-mlogloss:0.689000+0.015895
## [55] train-mlogloss:0.063068+0.000763 test-mlogloss:0.691051+0.016270
## [56] train-mlogloss:0.061935+0.000684 test-mlogloss:0.692612+0.016430
## [57] train-mlogloss:0.060830+0.000686 test-mlogloss:0.694654+0.016579
## [58] train-mlogloss:0.059757+0.000724 test-mlogloss:0.696566+0.016243
## [59] train-mlogloss:0.058831+0.000732 test-mlogloss:0.698148+0.016478
## [60] train-mlogloss:0.057832+0.000710 test-mlogloss:0.699907+0.015979
## [61] train-mlogloss:0.056843+0.000721 test-mlogloss:0.701951+0.016281
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## [63] train-mlogloss:0.055034+0.000676 test-mlogloss:0.705017+0.016220
## [64] train-mlogloss:0.054197+0.000673 test-mlogloss:0.706161+0.016337
## [65] train-mlogloss:0.053344+0.000661 test-mlogloss:0.708397+0.015589
## [66] train-mlogloss:0.052497+0.000608 test-mlogloss:0.710267+0.015941
## [67] train-mlogloss:0.051704+0.000594 test-mlogloss:0.712248+0.015661
## [68] train-mlogloss:0.050938+0.000581 test-mlogloss:0.714010+0.015661
## [69] train-mlogloss:0.050209+0.000568 test-mlogloss:0.715678+0.015987
## [70] train-mlogloss:0.049492+0.000576 test-mlogloss:0.716996+0.015837
## [71] train-mlogloss:0.048779+0.000572 test-mlogloss:0.717893+0.015825
## [72] train-mlogloss:0.048096+0.000501 test-mlogloss:0.719423+0.015873
## [73] train-mlogloss:0.047415+0.000509 test-mlogloss:0.720622+0.015544
## [74] train-mlogloss:0.046790+0.000488 test-mlogloss:0.721972+0.015788
## [75] train-mlogloss:0.046152+0.000506 test-mlogloss:0.723145+0.016029
## [76] train-mlogloss:0.045588+0.000511 test-mlogloss:0.724464+0.015880
## [77] train-mlogloss:0.044988+0.000504 test-mlogloss:0.726280+0.015767
## [78] train-mlogloss:0.044434+0.000483 test-mlogloss:0.727393+0.015610
## [79] train-mlogloss:0.043883+0.000457 test-mlogloss:0.728782+0.015954
## [80] train-mlogloss:0.043359+0.000426 test-mlogloss:0.730595+0.015064
## [81] train-mlogloss:0.042848+0.000426 test-mlogloss:0.731804+0.015423
## [82] train-mlogloss:0.042361+0.000407 test-mlogloss:0.733077+0.015371
## [83] train-mlogloss:0.041840+0.000423 test-mlogloss:0.734037+0.015271
## [84] train-mlogloss:0.041349+0.000413 test-mlogloss:0.735452+0.015293
## [85] train-mlogloss:0.040893+0.000427 test-mlogloss:0.736359+0.015411
## [86] train-mlogloss:0.040397+0.000385 test-mlogloss:0.738659+0.015457
## [87] train-mlogloss:0.039939+0.000363 test-mlogloss:0.740057+0.015606
## [88] train-mlogloss:0.039512+0.000353 test-mlogloss:0.741301+0.015358
## [89] train-mlogloss:0.039110+0.000373 test-mlogloss:0.743056+0.015178
## [90] train-mlogloss:0.038683+0.000364 test-mlogloss:0.744393+0.015685
## [91] train-mlogloss:0.038286+0.000381 test-mlogloss:0.745336+0.015232
## [92] train-mlogloss:0.037907+0.000382 test-mlogloss:0.746373+0.015712
## [93] train-mlogloss:0.037511+0.000361 test-mlogloss:0.747551+0.015612
## [94] train-mlogloss:0.037133+0.000370 test-mlogloss:0.748251+0.015423
## [95] train-mlogloss:0.036767+0.000374 test-mlogloss:0.749452+0.015510
## [96] train-mlogloss:0.036408+0.000364 test-mlogloss:0.750722+0.015596
## [97] train-mlogloss:0.036060+0.000351 test-mlogloss:0.751609+0.015595
## [98] train-mlogloss:0.035700+0.000349 test-mlogloss:0.753080+0.016000
## [99] train-mlogloss:0.035354+0.000337 test-mlogloss:0.754261+0.016113
## [100] train-mlogloss:0.035021+0.000335 test-mlogloss:0.755534+0.016610
## [101] train-mlogloss:0.034697+0.000317 test-mlogloss:0.757234+0.016559
## [102] train-mlogloss:0.034384+0.000308 test-mlogloss:0.758705+0.016733
## [103] train-mlogloss:0.034073+0.000292 test-mlogloss:0.760468+0.016628
## [104] train-mlogloss:0.033729+0.000288 test-mlogloss:0.761023+0.016987
## [105] train-mlogloss:0.033444+0.000283 test-mlogloss:0.761601+0.017445
## [106] train-mlogloss:0.033162+0.000293 test-mlogloss:0.762433+0.017928
## [107] train-mlogloss:0.032884+0.000290 test-mlogloss:0.763393+0.018161
## [108] train-mlogloss:0.032583+0.000280 test-mlogloss:0.764408+0.018418
## [109] train-mlogloss:0.032293+0.000266 test-mlogloss:0.765980+0.018392
## [110] train-mlogloss:0.032030+0.000263 test-mlogloss:0.766618+0.018620
## [111] train-mlogloss:0.031759+0.000267 test-mlogloss:0.767374+0.018611
## [112] train-mlogloss:0.031497+0.000277 test-mlogloss:0.768777+0.019260
## [113] train-mlogloss:0.031246+0.000273 test-mlogloss:0.769938+0.019452
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## [119] train-mlogloss:0.029791+0.000220 test-mlogloss:0.775440+0.020947
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## [130] train-mlogloss:0.027473+0.000129 test-mlogloss:0.784112+0.019477
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## [200] train-mlogloss:0.018950+0.000115 test-mlogloss:0.832396+0.024561
## [201] train-mlogloss:0.018870+0.000113 test-mlogloss:0.832503+0.024381
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## [229] train-mlogloss:0.016969+0.000097 test-mlogloss:0.845680+0.025916
## [230] train-mlogloss:0.016906+0.000094 test-mlogloss:0.846306+0.025560
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## [232] train-mlogloss:0.016797+0.000090 test-mlogloss:0.847088+0.025528
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## [234] train-mlogloss:0.016685+0.000082 test-mlogloss:0.848186+0.026086
## [235] train-mlogloss:0.016631+0.000083 test-mlogloss:0.848800+0.026155
## [236] train-mlogloss:0.016570+0.000085 test-mlogloss:0.849425+0.026199
## [237] train-mlogloss:0.016511+0.000087 test-mlogloss:0.849901+0.026157
## [238] train-mlogloss:0.016456+0.000091 test-mlogloss:0.850100+0.026321
## [239] train-mlogloss:0.016402+0.000090 test-mlogloss:0.850545+0.026088
## [240] train-mlogloss:0.016351+0.000094 test-mlogloss:0.850926+0.026533
## [241] train-mlogloss:0.016299+0.000098 test-mlogloss:0.851304+0.026456
## [242] train-mlogloss:0.016244+0.000100 test-mlogloss:0.851690+0.026078
## [243] train-mlogloss:0.016190+0.000104 test-mlogloss:0.852283+0.026179
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## [245] train-mlogloss:0.016088+0.000105 test-mlogloss:0.853412+0.026804
## [246] train-mlogloss:0.016041+0.000106 test-mlogloss:0.853930+0.027126
## [247] train-mlogloss:0.015991+0.000104 test-mlogloss:0.854457+0.026653
## [248] train-mlogloss:0.015941+0.000106 test-mlogloss:0.854914+0.026297
## [249] train-mlogloss:0.015894+0.000106 test-mlogloss:0.855379+0.026250
## [250] train-mlogloss:0.015844+0.000105 test-mlogloss:0.856004+0.026238
## [251] train-mlogloss:0.015793+0.000106 test-mlogloss:0.855899+0.025934
## [252] train-mlogloss:0.015747+0.000106 test-mlogloss:0.856492+0.026080
## [253] train-mlogloss:0.015698+0.000108 test-mlogloss:0.856907+0.026018
## [254] train-mlogloss:0.015653+0.000109 test-mlogloss:0.857151+0.026428
## [255] train-mlogloss:0.015602+0.000109 test-mlogloss:0.857654+0.027061
## [256] train-mlogloss:0.015552+0.000106 test-mlogloss:0.858034+0.027180
## [257] train-mlogloss:0.015504+0.000107 test-mlogloss:0.858566+0.027149
## [258] train-mlogloss:0.015457+0.000108 test-mlogloss:0.858868+0.027258
## [259] train-mlogloss:0.015412+0.000103 test-mlogloss:0.859062+0.027183
## [260] train-mlogloss:0.015368+0.000102 test-mlogloss:0.859968+0.027568
## [261] train-mlogloss:0.015322+0.000103 test-mlogloss:0.860460+0.027582
## [262] train-mlogloss:0.015272+0.000099 test-mlogloss:0.860401+0.027436
## [263] train-mlogloss:0.015225+0.000099 test-mlogloss:0.860861+0.027209
## [264] train-mlogloss:0.015175+0.000101 test-mlogloss:0.861177+0.027330
## [265] train-mlogloss:0.015131+0.000099 test-mlogloss:0.861460+0.027131
## [266] train-mlogloss:0.015087+0.000100 test-mlogloss:0.861734+0.027333
## [267] train-mlogloss:0.015046+0.000097 test-mlogloss:0.862030+0.027554
## [268] train-mlogloss:0.015000+0.000099 test-mlogloss:0.863052+0.027881
## [269] train-mlogloss:0.014955+0.000100 test-mlogloss:0.863452+0.028007
## [270] train-mlogloss:0.014917+0.000103 test-mlogloss:0.864254+0.027865
## [271] train-mlogloss:0.014874+0.000106 test-mlogloss:0.864590+0.027823
## [272] train-mlogloss:0.014835+0.000111 test-mlogloss:0.865060+0.027952
## [273] train-mlogloss:0.014791+0.000107 test-mlogloss:0.865634+0.028015
## [274] train-mlogloss:0.014753+0.000104 test-mlogloss:0.866130+0.028010
## [275] train-mlogloss:0.014714+0.000107 test-mlogloss:0.865963+0.028021
## [276] train-mlogloss:0.014673+0.000105 test-mlogloss:0.866158+0.027985
## [277] train-mlogloss:0.014632+0.000107 test-mlogloss:0.866629+0.028090
## [278] train-mlogloss:0.014591+0.000107 test-mlogloss:0.866886+0.028011
## [279] train-mlogloss:0.014554+0.000109 test-mlogloss:0.867372+0.027948
## [280] train-mlogloss:0.014516+0.000107 test-mlogloss:0.868145+0.027942
## [281] train-mlogloss:0.014475+0.000106 test-mlogloss:0.868524+0.028128
## [282] train-mlogloss:0.014434+0.000108 test-mlogloss:0.868650+0.027545
## [283] train-mlogloss:0.014394+0.000104 test-mlogloss:0.868823+0.027296
## [284] train-mlogloss:0.014356+0.000098 test-mlogloss:0.869066+0.027161
## [285] train-mlogloss:0.014320+0.000097 test-mlogloss:0.869345+0.027692
## [286] train-mlogloss:0.014279+0.000096 test-mlogloss:0.869520+0.028017
## [287] train-mlogloss:0.014239+0.000094 test-mlogloss:0.870495+0.028308
## [288] train-mlogloss:0.014201+0.000092 test-mlogloss:0.870473+0.028402
## [289] train-mlogloss:0.014158+0.000092 test-mlogloss:0.870799+0.028596
## [290] train-mlogloss:0.014119+0.000091 test-mlogloss:0.871105+0.028376
## [291] train-mlogloss:0.014085+0.000091 test-mlogloss:0.871390+0.028461
## [292] train-mlogloss:0.014054+0.000090 test-mlogloss:0.872515+0.028314
## [293] train-mlogloss:0.014018+0.000089 test-mlogloss:0.873145+0.028488
## [294] train-mlogloss:0.013980+0.000089 test-mlogloss:0.873304+0.028330
## [295] train-mlogloss:0.013947+0.000093 test-mlogloss:0.873857+0.028561
## [296] train-mlogloss:0.013909+0.000096 test-mlogloss:0.874187+0.028901
## [297] train-mlogloss:0.013873+0.000095 test-mlogloss:0.874743+0.028911
## [298] train-mlogloss:0.013838+0.000092 test-mlogloss:0.874759+0.028824
## [299] train-mlogloss:0.013802+0.000091 test-mlogloss:0.875452+0.029036
## [300] train-mlogloss:0.013765+0.000088 test-mlogloss:0.876300+0.028817
## [301] train-mlogloss:0.013730+0.000089 test-mlogloss:0.876667+0.028450
## [302] train-mlogloss:0.013696+0.000091 test-mlogloss:0.877234+0.028685
## [303] train-mlogloss:0.013661+0.000091 test-mlogloss:0.877937+0.028537
## [304] train-mlogloss:0.013630+0.000092 test-mlogloss:0.878427+0.028564
## [305] train-mlogloss:0.013599+0.000092 test-mlogloss:0.878483+0.028559
## [306] train-mlogloss:0.013567+0.000093 test-mlogloss:0.878883+0.028657
## [307] train-mlogloss:0.013536+0.000096 test-mlogloss:0.879237+0.028676
## [308] train-mlogloss:0.013502+0.000099 test-mlogloss:0.879560+0.028381
## [309] train-mlogloss:0.013467+0.000097 test-mlogloss:0.880056+0.028621
## [310] train-mlogloss:0.013435+0.000094 test-mlogloss:0.880170+0.028633
## [311] train-mlogloss:0.013400+0.000094 test-mlogloss:0.880731+0.028806
## [312] train-mlogloss:0.013366+0.000095 test-mlogloss:0.881229+0.028672
## [313] train-mlogloss:0.013337+0.000096 test-mlogloss:0.882031+0.028890
## [314] train-mlogloss:0.013307+0.000098 test-mlogloss:0.882532+0.029127
## [315] train-mlogloss:0.013277+0.000100 test-mlogloss:0.883136+0.029404
## [316] train-mlogloss:0.013244+0.000098 test-mlogloss:0.883850+0.029038
## [317] train-mlogloss:0.013210+0.000099 test-mlogloss:0.884093+0.029104
## [318] train-mlogloss:0.013180+0.000100 test-mlogloss:0.884503+0.029127
## [319] train-mlogloss:0.013150+0.000098 test-mlogloss:0.884949+0.029005
## [320] train-mlogloss:0.013122+0.000096 test-mlogloss:0.884967+0.028802
## [321] train-mlogloss:0.013090+0.000094 test-mlogloss:0.885593+0.028886
## [322] train-mlogloss:0.013058+0.000094 test-mlogloss:0.885777+0.028902
## [323] train-mlogloss:0.013027+0.000090 test-mlogloss:0.886129+0.028332
## [324] train-mlogloss:0.012996+0.000086 test-mlogloss:0.886086+0.028396
## [325] train-mlogloss:0.012967+0.000084 test-mlogloss:0.885978+0.028625
## [326] train-mlogloss:0.012937+0.000082 test-mlogloss:0.886394+0.028919
## [327] train-mlogloss:0.012907+0.000081 test-mlogloss:0.886971+0.028766
## [328] train-mlogloss:0.012878+0.000085 test-mlogloss:0.887534+0.029002
## [329] train-mlogloss:0.012847+0.000085 test-mlogloss:0.887948+0.028954
## [330] train-mlogloss:0.012815+0.000085 test-mlogloss:0.888099+0.028917
## [331] train-mlogloss:0.012787+0.000086 test-mlogloss:0.888678+0.028630
## [332] train-mlogloss:0.012761+0.000087 test-mlogloss:0.888999+0.028454
## [333] train-mlogloss:0.012734+0.000085 test-mlogloss:0.889590+0.028558
## [334] train-mlogloss:0.012704+0.000084 test-mlogloss:0.889876+0.028342
## [335] train-mlogloss:0.012676+0.000086 test-mlogloss:0.890370+0.028500
## [336] train-mlogloss:0.012647+0.000087 test-mlogloss:0.890757+0.028076
## [337] train-mlogloss:0.012618+0.000087 test-mlogloss:0.891418+0.028223
## [338] train-mlogloss:0.012589+0.000085 test-mlogloss:0.891701+0.028515
## [339] train-mlogloss:0.012564+0.000085 test-mlogloss:0.892007+0.028656
## [340] train-mlogloss:0.012537+0.000085 test-mlogloss:0.892297+0.028580
## [341] train-mlogloss:0.012510+0.000089 test-mlogloss:0.892674+0.028653
## [342] train-mlogloss:0.012482+0.000090 test-mlogloss:0.893043+0.028551
## [343] train-mlogloss:0.012456+0.000090 test-mlogloss:0.893351+0.028930
## [344] train-mlogloss:0.012431+0.000089 test-mlogloss:0.893842+0.028916
## [345] train-mlogloss:0.012403+0.000091 test-mlogloss:0.894503+0.028807
## [346] train-mlogloss:0.012375+0.000088 test-mlogloss:0.894911+0.029062
## [347] train-mlogloss:0.012350+0.000086 test-mlogloss:0.895149+0.029162
## [348] train-mlogloss:0.012322+0.000086 test-mlogloss:0.895277+0.029040
## [349] train-mlogloss:0.012295+0.000087 test-mlogloss:0.895479+0.029205
## [350] train-mlogloss:0.012270+0.000088 test-mlogloss:0.895613+0.028910
## [351] train-mlogloss:0.012245+0.000088 test-mlogloss:0.896208+0.028649
## [352] train-mlogloss:0.012219+0.000087 test-mlogloss:0.897049+0.028411
## [353] train-mlogloss:0.012196+0.000087 test-mlogloss:0.897541+0.028825
## [354] train-mlogloss:0.012171+0.000088 test-mlogloss:0.897721+0.028669
## [355] train-mlogloss:0.012146+0.000088 test-mlogloss:0.898009+0.028978
## [356] train-mlogloss:0.012120+0.000087 test-mlogloss:0.898183+0.028753
## [357] train-mlogloss:0.012096+0.000086 test-mlogloss:0.898679+0.028910
## [358] train-mlogloss:0.012073+0.000089 test-mlogloss:0.899074+0.028873
## [359] train-mlogloss:0.012048+0.000091 test-mlogloss:0.899311+0.028903
## [360] train-mlogloss:0.012025+0.000092 test-mlogloss:0.899216+0.028953
## [361] train-mlogloss:0.012000+0.000093 test-mlogloss:0.899613+0.028653
## [362] train-mlogloss:0.011974+0.000094 test-mlogloss:0.899856+0.028716
## [363] train-mlogloss:0.011952+0.000090 test-mlogloss:0.900452+0.028820
## [364] train-mlogloss:0.011928+0.000090 test-mlogloss:0.900492+0.028789
## [365] train-mlogloss:0.011906+0.000087 test-mlogloss:0.900432+0.028602
## [366] train-mlogloss:0.011888+0.000090 test-mlogloss:0.900638+0.028974
## [367] train-mlogloss:0.011865+0.000090 test-mlogloss:0.901049+0.029110
## [368] train-mlogloss:0.011844+0.000091 test-mlogloss:0.901280+0.029221
## [369] train-mlogloss:0.011820+0.000090 test-mlogloss:0.901457+0.029237
## [370] train-mlogloss:0.011798+0.000090 test-mlogloss:0.901713+0.029172
## [371] train-mlogloss:0.011776+0.000090 test-mlogloss:0.902063+0.028942
## [372] train-mlogloss:0.011753+0.000090 test-mlogloss:0.902482+0.028730
## [373] train-mlogloss:0.011731+0.000087 test-mlogloss:0.902884+0.028594
## [374] train-mlogloss:0.011707+0.000084 test-mlogloss:0.903167+0.028679
## [375] train-mlogloss:0.011687+0.000086 test-mlogloss:0.903445+0.028742
## [376] train-mlogloss:0.011665+0.000086 test-mlogloss:0.903770+0.028401
## [377] train-mlogloss:0.011640+0.000084 test-mlogloss:0.904122+0.028450
## [378] train-mlogloss:0.011619+0.000082 test-mlogloss:0.904720+0.028943
## [379] train-mlogloss:0.011594+0.000081 test-mlogloss:0.904761+0.028903
## [380] train-mlogloss:0.011571+0.000082 test-mlogloss:0.904873+0.029199
## [381] train-mlogloss:0.011550+0.000083 test-mlogloss:0.905713+0.029222
## [382] train-mlogloss:0.011527+0.000083 test-mlogloss:0.906153+0.029491
## [383] train-mlogloss:0.011508+0.000083 test-mlogloss:0.906476+0.029445
## [384] train-mlogloss:0.011487+0.000082 test-mlogloss:0.906492+0.029661
## [385] train-mlogloss:0.011466+0.000080 test-mlogloss:0.906769+0.029523
## [386] train-mlogloss:0.011445+0.000084 test-mlogloss:0.907459+0.029645
## [387] train-mlogloss:0.011422+0.000084 test-mlogloss:0.907903+0.029714
## [388] train-mlogloss:0.011401+0.000085 test-mlogloss:0.908167+0.029405
## [389] train-mlogloss:0.011380+0.000083 test-mlogloss:0.908428+0.029470
## [390] train-mlogloss:0.011358+0.000083 test-mlogloss:0.908838+0.029460
## [391] train-mlogloss:0.011341+0.000080 test-mlogloss:0.909002+0.029448
## [392] train-mlogloss:0.011318+0.000078 test-mlogloss:0.909204+0.029058
## [393] train-mlogloss:0.011296+0.000076 test-mlogloss:0.909722+0.028977
## [394] train-mlogloss:0.011276+0.000078 test-mlogloss:0.909635+0.028852
## [395] train-mlogloss:0.011257+0.000080 test-mlogloss:0.909983+0.028658
## [396] train-mlogloss:0.011237+0.000078 test-mlogloss:0.910475+0.028477
## [397] train-mlogloss:0.011216+0.000081 test-mlogloss:0.910796+0.028415
## [398] train-mlogloss:0.011197+0.000081 test-mlogloss:0.911305+0.028491
## [399] train-mlogloss:0.011175+0.000083 test-mlogloss:0.911782+0.028410
## [400] train-mlogloss:0.011154+0.000082 test-mlogloss:0.912037+0.028727
## [401] train-mlogloss:0.011136+0.000084 test-mlogloss:0.912465+0.029030
## [402] train-mlogloss:0.011118+0.000085 test-mlogloss:0.912715+0.028833
## [403] train-mlogloss:0.011100+0.000086 test-mlogloss:0.913032+0.028817
## [404] train-mlogloss:0.011080+0.000087 test-mlogloss:0.913203+0.028740
## [405] train-mlogloss:0.011062+0.000086 test-mlogloss:0.913399+0.028861
## [406] train-mlogloss:0.011042+0.000086 test-mlogloss:0.913302+0.028548
## [407] train-mlogloss:0.011021+0.000085 test-mlogloss:0.913623+0.028701
## [408] train-mlogloss:0.011001+0.000086 test-mlogloss:0.913396+0.028728
## [409] train-mlogloss:0.010982+0.000084 test-mlogloss:0.913698+0.028776
## [410] train-mlogloss:0.010964+0.000085 test-mlogloss:0.914597+0.029055
## [411] train-mlogloss:0.010941+0.000082 test-mlogloss:0.914921+0.028846
## [412] train-mlogloss:0.010923+0.000082 test-mlogloss:0.915401+0.029628
## [413] train-mlogloss:0.010904+0.000080 test-mlogloss:0.915678+0.029581
## [414] train-mlogloss:0.010886+0.000080 test-mlogloss:0.916183+0.029339
## [415] train-mlogloss:0.010868+0.000079 test-mlogloss:0.916243+0.029275
## [416] train-mlogloss:0.010850+0.000079 test-mlogloss:0.916217+0.029227
## [417] train-mlogloss:0.010830+0.000078 test-mlogloss:0.916178+0.029679
## [418] train-mlogloss:0.010812+0.000079 test-mlogloss:0.916267+0.029981
## [419] train-mlogloss:0.010794+0.000076 test-mlogloss:0.916514+0.029792
## [420] train-mlogloss:0.010777+0.000076 test-mlogloss:0.916728+0.029978
## [421] train-mlogloss:0.010756+0.000076 test-mlogloss:0.916653+0.030279
## [422] train-mlogloss:0.010737+0.000074 test-mlogloss:0.917196+0.030363
## [423] train-mlogloss:0.010719+0.000073 test-mlogloss:0.917705+0.030264
## [424] train-mlogloss:0.010705+0.000072 test-mlogloss:0.917848+0.030228
## [425] train-mlogloss:0.010685+0.000071 test-mlogloss:0.917576+0.030115
## [426] train-mlogloss:0.010667+0.000071 test-mlogloss:0.917720+0.030023
## [427] train-mlogloss:0.010651+0.000069 test-mlogloss:0.918184+0.030188
## [428] train-mlogloss:0.010633+0.000070 test-mlogloss:0.918278+0.029868
## [429] train-mlogloss:0.010618+0.000068 test-mlogloss:0.918834+0.029900
## [430] train-mlogloss:0.010602+0.000067 test-mlogloss:0.919105+0.030113
## [431] train-mlogloss:0.010586+0.000067 test-mlogloss:0.919551+0.030508
## [432] train-mlogloss:0.010567+0.000065 test-mlogloss:0.919701+0.030191
## [433] train-mlogloss:0.010550+0.000065 test-mlogloss:0.920044+0.030463
## [434] train-mlogloss:0.010533+0.000065 test-mlogloss:0.920133+0.030407
## [435] train-mlogloss:0.010517+0.000065 test-mlogloss:0.920438+0.030472
## [436] train-mlogloss:0.010500+0.000064 test-mlogloss:0.920691+0.030441
## [437] train-mlogloss:0.010484+0.000066 test-mlogloss:0.920855+0.030462
## [438] train-mlogloss:0.010464+0.000068 test-mlogloss:0.920858+0.030459
## [439] train-mlogloss:0.010449+0.000064 test-mlogloss:0.920895+0.031007
## [440] train-mlogloss:0.010431+0.000068 test-mlogloss:0.921205+0.030944
## [441] train-mlogloss:0.010415+0.000066 test-mlogloss:0.921553+0.030882
## [442] train-mlogloss:0.010400+0.000066 test-mlogloss:0.921343+0.031151
## [443] train-mlogloss:0.010385+0.000066 test-mlogloss:0.921733+0.030842
## [444] train-mlogloss:0.010367+0.000067 test-mlogloss:0.922206+0.030543
## [445] train-mlogloss:0.010351+0.000067 test-mlogloss:0.922099+0.030614
## [446] train-mlogloss:0.010334+0.000067 test-mlogloss:0.922522+0.030465
## [447] train-mlogloss:0.010319+0.000066 test-mlogloss:0.922638+0.030365
## [448] train-mlogloss:0.010304+0.000066 test-mlogloss:0.922965+0.030649
## [449] train-mlogloss:0.010288+0.000066 test-mlogloss:0.923145+0.030786
## [450] train-mlogloss:0.010273+0.000064 test-mlogloss:0.923623+0.031094
## [451] train-mlogloss:0.010256+0.000064 test-mlogloss:0.923812+0.030830
## [452] train-mlogloss:0.010238+0.000064 test-mlogloss:0.924074+0.030833
## [453] train-mlogloss:0.010222+0.000064 test-mlogloss:0.924459+0.030936
## [454] train-mlogloss:0.010206+0.000061 test-mlogloss:0.924727+0.030791
## [455] train-mlogloss:0.010189+0.000060 test-mlogloss:0.925204+0.030465
## [456] train-mlogloss:0.010175+0.000061 test-mlogloss:0.925035+0.030685
## [457] train-mlogloss:0.010159+0.000060 test-mlogloss:0.925386+0.030353
## [458] train-mlogloss:0.010146+0.000060 test-mlogloss:0.925664+0.030243
## [459] train-mlogloss:0.010131+0.000060 test-mlogloss:0.926227+0.030244
## [460] train-mlogloss:0.010115+0.000061 test-mlogloss:0.926144+0.030238
## [461] train-mlogloss:0.010101+0.000061 test-mlogloss:0.926622+0.030278
## [462] train-mlogloss:0.010086+0.000062 test-mlogloss:0.927060+0.030042
## [463] train-mlogloss:0.010070+0.000063 test-mlogloss:0.927099+0.030025
## [464] train-mlogloss:0.010054+0.000064 test-mlogloss:0.927075+0.029908
## [465] train-mlogloss:0.010039+0.000064 test-mlogloss:0.927277+0.029946
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## [467] train-mlogloss:0.010008+0.000065 test-mlogloss:0.927607+0.030068
## [468] train-mlogloss:0.009992+0.000064 test-mlogloss:0.927849+0.029966
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## [470] train-mlogloss:0.009963+0.000060 test-mlogloss:0.928512+0.029974
## [471] train-mlogloss:0.009948+0.000062 test-mlogloss:0.928748+0.030253
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## [481] train-mlogloss:0.009806+0.000057 test-mlogloss:0.930653+0.030298
## [482] train-mlogloss:0.009791+0.000056 test-mlogloss:0.930477+0.030025
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## [487] train-mlogloss:0.009723+0.000053 test-mlogloss:0.931468+0.030274
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## [489] train-mlogloss:0.009700+0.000054 test-mlogloss:0.931713+0.030025
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## [491] train-mlogloss:0.009673+0.000055 test-mlogloss:0.932530+0.030142
## [492] train-mlogloss:0.009660+0.000057 test-mlogloss:0.932417+0.030149
## [493] train-mlogloss:0.009647+0.000056 test-mlogloss:0.933000+0.030282
## [494] train-mlogloss:0.009635+0.000055 test-mlogloss:0.933113+0.030325
## [495] train-mlogloss:0.009620+0.000055 test-mlogloss:0.933699+0.030090
## [496] train-mlogloss:0.009608+0.000054 test-mlogloss:0.933850+0.030132
## [497] train-mlogloss:0.009596+0.000055 test-mlogloss:0.934106+0.029907
## [498] train-mlogloss:0.009581+0.000054 test-mlogloss:0.934233+0.030324
## [499] train-mlogloss:0.009569+0.000055 test-mlogloss:0.934353+0.030707
## [500] train-mlogloss:0.009555+0.000054 test-mlogloss:0.934577+0.030776
## [1] train-mlogloss:0.540252+0.001759 test-mlogloss:0.557047+0.003739
## [2] train-mlogloss:0.510650+0.002366 test-mlogloss:0.541708+0.006775
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## [4] train-mlogloss:0.490408+0.003784 test-mlogloss:0.545166+0.009035
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## [7] train-mlogloss:0.467634+0.002840 test-mlogloss:0.557444+0.012892
## [8] train-mlogloss:0.461121+0.003313 test-mlogloss:0.561777+0.013523
## [9] train-mlogloss:0.455038+0.003407 test-mlogloss:0.565209+0.014175
## [10] train-mlogloss:0.448106+0.003695 test-mlogloss:0.570301+0.015948
## [11] train-mlogloss:0.441576+0.005645 test-mlogloss:0.573219+0.016514
## [12] train-mlogloss:0.435824+0.005984 test-mlogloss:0.575470+0.014934
## [13] train-mlogloss:0.429728+0.006705 test-mlogloss:0.577113+0.016601
## [14] train-mlogloss:0.423249+0.006691 test-mlogloss:0.577964+0.016619
## [15] train-mlogloss:0.417238+0.006075 test-mlogloss:0.583091+0.016585
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## [17] train-mlogloss:0.404873+0.006217 test-mlogloss:0.590167+0.017918
## [18] train-mlogloss:0.398797+0.005979 test-mlogloss:0.593587+0.020554
## [19] train-mlogloss:0.392849+0.006287 test-mlogloss:0.596151+0.021004
## [20] train-mlogloss:0.388109+0.006822 test-mlogloss:0.597003+0.021706
## [21] train-mlogloss:0.382934+0.007136 test-mlogloss:0.601603+0.023159
## [22] train-mlogloss:0.377518+0.008114 test-mlogloss:0.605114+0.022297
## [23] train-mlogloss:0.372804+0.007494 test-mlogloss:0.607562+0.021478
## [24] train-mlogloss:0.367975+0.007930 test-mlogloss:0.610396+0.022753
## [25] train-mlogloss:0.363420+0.007168 test-mlogloss:0.613262+0.022891
## [26] train-mlogloss:0.358211+0.007080 test-mlogloss:0.616220+0.022328
## [27] train-mlogloss:0.353253+0.007800 test-mlogloss:0.618507+0.023069
## [28] train-mlogloss:0.348771+0.007805 test-mlogloss:0.621014+0.023425
## [29] train-mlogloss:0.343958+0.007620 test-mlogloss:0.622435+0.024355
## [30] train-mlogloss:0.340048+0.006412 test-mlogloss:0.625056+0.024486
## [31] train-mlogloss:0.336174+0.006089 test-mlogloss:0.628259+0.025536
## [32] train-mlogloss:0.332449+0.006438 test-mlogloss:0.630099+0.025886
## [33] train-mlogloss:0.327877+0.006480 test-mlogloss:0.632321+0.027541
## [34] train-mlogloss:0.323064+0.006166 test-mlogloss:0.636576+0.028272
## [35] train-mlogloss:0.318836+0.006309 test-mlogloss:0.640561+0.029672
## [36] train-mlogloss:0.314339+0.005952 test-mlogloss:0.644205+0.029240
## [37] train-mlogloss:0.310238+0.006049 test-mlogloss:0.648344+0.029126
## [38] train-mlogloss:0.305992+0.005289 test-mlogloss:0.652023+0.029301
## [39] train-mlogloss:0.301533+0.005355 test-mlogloss:0.654855+0.030553
## [40] train-mlogloss:0.297558+0.005306 test-mlogloss:0.657150+0.029478
## [41] train-mlogloss:0.293868+0.004986 test-mlogloss:0.660535+0.030760
## [42] train-mlogloss:0.290596+0.005318 test-mlogloss:0.663274+0.029862
## [43] train-mlogloss:0.286803+0.005333 test-mlogloss:0.665755+0.030331
## [44] train-mlogloss:0.282828+0.004594 test-mlogloss:0.668585+0.029065
## [45] train-mlogloss:0.279315+0.004614 test-mlogloss:0.670406+0.030658
## [46] train-mlogloss:0.275429+0.005516 test-mlogloss:0.673745+0.031162
## [47] train-mlogloss:0.271666+0.005718 test-mlogloss:0.676789+0.031655
## [48] train-mlogloss:0.267993+0.005511 test-mlogloss:0.679190+0.033325
## [49] train-mlogloss:0.264562+0.005970 test-mlogloss:0.682366+0.034173
## [50] train-mlogloss:0.260323+0.006092 test-mlogloss:0.683626+0.033126
## [51] train-mlogloss:0.256628+0.005997 test-mlogloss:0.687818+0.034528
## [52] train-mlogloss:0.253902+0.006318 test-mlogloss:0.691642+0.034292
## [53] train-mlogloss:0.250343+0.006100 test-mlogloss:0.695116+0.033850
## [54] train-mlogloss:0.246915+0.006718 test-mlogloss:0.694909+0.035459
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## [56] train-mlogloss:0.240679+0.006902 test-mlogloss:0.698200+0.035673
## [57] train-mlogloss:0.237555+0.006662 test-mlogloss:0.700090+0.035674
## [58] train-mlogloss:0.234605+0.006650 test-mlogloss:0.702258+0.037101
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## [60] train-mlogloss:0.228656+0.007054 test-mlogloss:0.707902+0.039012
## [61] train-mlogloss:0.225756+0.006816 test-mlogloss:0.710048+0.038679
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## [63] train-mlogloss:0.221158+0.006865 test-mlogloss:0.713809+0.037741
## [64] train-mlogloss:0.218485+0.006348 test-mlogloss:0.715270+0.038875
## [65] train-mlogloss:0.215994+0.006635 test-mlogloss:0.718447+0.039132
## [66] train-mlogloss:0.213312+0.006203 test-mlogloss:0.719488+0.041087
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## [68] train-mlogloss:0.207978+0.006562 test-mlogloss:0.722800+0.042564
## [69] train-mlogloss:0.205382+0.006164 test-mlogloss:0.725433+0.041190
## [70] train-mlogloss:0.203171+0.006234 test-mlogloss:0.725687+0.039487
## [71] train-mlogloss:0.200899+0.006726 test-mlogloss:0.728312+0.040369
## [72] train-mlogloss:0.198862+0.006476 test-mlogloss:0.730314+0.039945
## [73] train-mlogloss:0.196229+0.006699 test-mlogloss:0.733204+0.039858
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## [75] train-mlogloss:0.191999+0.006939 test-mlogloss:0.738628+0.041433
## [76] train-mlogloss:0.188574+0.006324 test-mlogloss:0.739791+0.039641
## [77] train-mlogloss:0.186407+0.006493 test-mlogloss:0.741765+0.039272
## [78] train-mlogloss:0.184144+0.006351 test-mlogloss:0.743121+0.038715
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## [80] train-mlogloss:0.179611+0.006337 test-mlogloss:0.747500+0.039200
## [81] train-mlogloss:0.177453+0.006504 test-mlogloss:0.749577+0.039765
## [82] train-mlogloss:0.175101+0.006672 test-mlogloss:0.752010+0.040694
## [83] train-mlogloss:0.172870+0.006953 test-mlogloss:0.753377+0.041725
## [84] train-mlogloss:0.170568+0.006935 test-mlogloss:0.756092+0.042081
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## [89] train-mlogloss:0.160704+0.007018 test-mlogloss:0.765700+0.046191
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## [94] train-mlogloss:0.151858+0.006545 test-mlogloss:0.778663+0.043024
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## [100] train-mlogloss:0.140759+0.006291 test-mlogloss:0.792666+0.042182
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## [103] train-mlogloss:0.135882+0.005898 test-mlogloss:0.801214+0.040933
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## [109] train-mlogloss:0.126692+0.005942 test-mlogloss:0.813069+0.044944
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## [126] train-mlogloss:0.103160+0.003983 test-mlogloss:0.837591+0.037694
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## [129] train-mlogloss:0.099928+0.003929 test-mlogloss:0.841294+0.037635
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## [178] train-mlogloss:0.061871+0.002131 test-mlogloss:0.910595+0.042701
## [179] train-mlogloss:0.061317+0.002068 test-mlogloss:0.912716+0.041917
## [180] train-mlogloss:0.060643+0.002050 test-mlogloss:0.914068+0.043226
## [181] train-mlogloss:0.059962+0.002020 test-mlogloss:0.915874+0.043958
## [182] train-mlogloss:0.059408+0.001912 test-mlogloss:0.917180+0.044511
## [183] train-mlogloss:0.058996+0.001913 test-mlogloss:0.918904+0.043460
## [184] train-mlogloss:0.058457+0.001926 test-mlogloss:0.919737+0.042538
## [185] train-mlogloss:0.057880+0.001863 test-mlogloss:0.920878+0.041998
## [186] train-mlogloss:0.057311+0.001799 test-mlogloss:0.924199+0.041721
## [187] train-mlogloss:0.056812+0.001860 test-mlogloss:0.925874+0.041770
## [188] train-mlogloss:0.056292+0.001772 test-mlogloss:0.925782+0.040995
## [189] train-mlogloss:0.055813+0.001761 test-mlogloss:0.927304+0.040444
## [190] train-mlogloss:0.055277+0.001803 test-mlogloss:0.928410+0.040003
## [191] train-mlogloss:0.054836+0.001910 test-mlogloss:0.930320+0.040753
## [192] train-mlogloss:0.054365+0.001857 test-mlogloss:0.931393+0.039090
## [193] train-mlogloss:0.053925+0.001829 test-mlogloss:0.932133+0.039385
## [194] train-mlogloss:0.053368+0.001782 test-mlogloss:0.933235+0.038959
## [195] train-mlogloss:0.052905+0.001872 test-mlogloss:0.933894+0.039467
## [196] train-mlogloss:0.052481+0.001804 test-mlogloss:0.933845+0.039780
## [197] train-mlogloss:0.052119+0.001751 test-mlogloss:0.934035+0.040953
## [198] train-mlogloss:0.051701+0.001764 test-mlogloss:0.937843+0.041444
## [199] train-mlogloss:0.051250+0.001748 test-mlogloss:0.940670+0.041439
## [200] train-mlogloss:0.050784+0.001699 test-mlogloss:0.942926+0.041279
## [201] train-mlogloss:0.050314+0.001708 test-mlogloss:0.944096+0.041236
## [202] train-mlogloss:0.049890+0.001687 test-mlogloss:0.944720+0.041498
## [203] train-mlogloss:0.049513+0.001656 test-mlogloss:0.945390+0.041921
## [204] train-mlogloss:0.049060+0.001657 test-mlogloss:0.947049+0.041130
## [205] train-mlogloss:0.048609+0.001595 test-mlogloss:0.949358+0.041662
## [206] train-mlogloss:0.048213+0.001663 test-mlogloss:0.951845+0.042812
## [207] train-mlogloss:0.047818+0.001653 test-mlogloss:0.951876+0.043916
## [208] train-mlogloss:0.047387+0.001581 test-mlogloss:0.953235+0.044183
## [209] train-mlogloss:0.047014+0.001592 test-mlogloss:0.954485+0.044795
## [210] train-mlogloss:0.046560+0.001679 test-mlogloss:0.956381+0.045646
## [211] train-mlogloss:0.046127+0.001701 test-mlogloss:0.957430+0.046195
## [212] train-mlogloss:0.045767+0.001605 test-mlogloss:0.957255+0.046980
## [213] train-mlogloss:0.045448+0.001578 test-mlogloss:0.958727+0.046773
## [214] train-mlogloss:0.045162+0.001558 test-mlogloss:0.958836+0.046789
## [215] train-mlogloss:0.044886+0.001577 test-mlogloss:0.960000+0.045981
## [216] train-mlogloss:0.044578+0.001515 test-mlogloss:0.961179+0.045659
## [217] train-mlogloss:0.044173+0.001542 test-mlogloss:0.963461+0.046811
## [218] train-mlogloss:0.043792+0.001547 test-mlogloss:0.963873+0.046875
## [219] train-mlogloss:0.043485+0.001553 test-mlogloss:0.965334+0.046100
## [220] train-mlogloss:0.043146+0.001528 test-mlogloss:0.967353+0.045931
## [221] train-mlogloss:0.042835+0.001475 test-mlogloss:0.968115+0.044974
## [222] train-mlogloss:0.042517+0.001542 test-mlogloss:0.969520+0.045187
## [223] train-mlogloss:0.042201+0.001549 test-mlogloss:0.971984+0.045693
## [224] train-mlogloss:0.041867+0.001474 test-mlogloss:0.972379+0.044939
## [225] train-mlogloss:0.041554+0.001467 test-mlogloss:0.975018+0.045698
## [226] train-mlogloss:0.041261+0.001440 test-mlogloss:0.975803+0.047147
## [227] train-mlogloss:0.040962+0.001509 test-mlogloss:0.977293+0.047747
## [228] train-mlogloss:0.040702+0.001489 test-mlogloss:0.979255+0.046756
## [229] train-mlogloss:0.040419+0.001472 test-mlogloss:0.979670+0.046662
## [230] train-mlogloss:0.040135+0.001386 test-mlogloss:0.981169+0.045341
## [231] train-mlogloss:0.039848+0.001411 test-mlogloss:0.983443+0.045997
## [232] train-mlogloss:0.039575+0.001364 test-mlogloss:0.983117+0.045108
## [233] train-mlogloss:0.039264+0.001358 test-mlogloss:0.984597+0.045107
## [234] train-mlogloss:0.039000+0.001354 test-mlogloss:0.986324+0.045370
## [235] train-mlogloss:0.038786+0.001344 test-mlogloss:0.987136+0.045635
## [236] train-mlogloss:0.038566+0.001315 test-mlogloss:0.988977+0.045952
## [237] train-mlogloss:0.038337+0.001332 test-mlogloss:0.990534+0.046692
## [238] train-mlogloss:0.038052+0.001248 test-mlogloss:0.990336+0.046066
## [239] train-mlogloss:0.037791+0.001283 test-mlogloss:0.991156+0.045833
## [240] train-mlogloss:0.037558+0.001247 test-mlogloss:0.991426+0.044971
## [241] train-mlogloss:0.037319+0.001285 test-mlogloss:0.994108+0.045260
## [242] train-mlogloss:0.037044+0.001307 test-mlogloss:0.996175+0.045806
## [243] train-mlogloss:0.036739+0.001295 test-mlogloss:0.997553+0.046799
## [244] train-mlogloss:0.036502+0.001337 test-mlogloss:0.998668+0.047953
## [245] train-mlogloss:0.036262+0.001332 test-mlogloss:1.000467+0.049358
## [246] train-mlogloss:0.036038+0.001329 test-mlogloss:1.000846+0.049652
## [247] train-mlogloss:0.035809+0.001325 test-mlogloss:1.002127+0.049913
## [248] train-mlogloss:0.035524+0.001277 test-mlogloss:1.002925+0.048742
## [249] train-mlogloss:0.035336+0.001261 test-mlogloss:1.003934+0.048379
## [250] train-mlogloss:0.035106+0.001265 test-mlogloss:1.005540+0.047587
## [251] train-mlogloss:0.034884+0.001219 test-mlogloss:1.006749+0.048566
## [252] train-mlogloss:0.034633+0.001152 test-mlogloss:1.007980+0.048410
## [253] train-mlogloss:0.034409+0.001206 test-mlogloss:1.010055+0.049497
## [254] train-mlogloss:0.034180+0.001222 test-mlogloss:1.010170+0.049229
## [255] train-mlogloss:0.033973+0.001243 test-mlogloss:1.011577+0.048203
## [256] train-mlogloss:0.033803+0.001249 test-mlogloss:1.012974+0.049046
## [257] train-mlogloss:0.033601+0.001234 test-mlogloss:1.013138+0.048595
## [258] train-mlogloss:0.033406+0.001182 test-mlogloss:1.013667+0.049390
## [259] train-mlogloss:0.033204+0.001154 test-mlogloss:1.015764+0.050003
## [260] train-mlogloss:0.033016+0.001164 test-mlogloss:1.017012+0.049959
## [261] train-mlogloss:0.032820+0.001152 test-mlogloss:1.017384+0.049584
## [262] train-mlogloss:0.032619+0.001126 test-mlogloss:1.017876+0.050014
## [263] train-mlogloss:0.032379+0.001124 test-mlogloss:1.019246+0.049611
## [264] train-mlogloss:0.032186+0.001119 test-mlogloss:1.020167+0.048915
## [265] train-mlogloss:0.031927+0.001087 test-mlogloss:1.020745+0.047005
## [266] train-mlogloss:0.031710+0.001063 test-mlogloss:1.021486+0.046611
## [267] train-mlogloss:0.031522+0.001112 test-mlogloss:1.022464+0.046608
## [268] train-mlogloss:0.031317+0.001109 test-mlogloss:1.023196+0.047300
## [269] train-mlogloss:0.031127+0.001090 test-mlogloss:1.023805+0.046621
## [270] train-mlogloss:0.030939+0.001068 test-mlogloss:1.024748+0.046865
## [271] train-mlogloss:0.030753+0.001078 test-mlogloss:1.027128+0.046283
## [272] train-mlogloss:0.030523+0.001101 test-mlogloss:1.028745+0.046585
## [273] train-mlogloss:0.030327+0.001145 test-mlogloss:1.030346+0.047314
## [274] train-mlogloss:0.030135+0.001103 test-mlogloss:1.030444+0.047807
## [275] train-mlogloss:0.029957+0.001054 test-mlogloss:1.031564+0.048228
## [276] train-mlogloss:0.029797+0.001056 test-mlogloss:1.032704+0.048375
## [277] train-mlogloss:0.029605+0.001028 test-mlogloss:1.033472+0.050005
## [278] train-mlogloss:0.029421+0.001046 test-mlogloss:1.034444+0.051219
## [279] train-mlogloss:0.029205+0.001016 test-mlogloss:1.036050+0.050887
## [280] train-mlogloss:0.029051+0.001028 test-mlogloss:1.036012+0.050049
## [281] train-mlogloss:0.028893+0.001041 test-mlogloss:1.037833+0.051341
## [282] train-mlogloss:0.028680+0.001009 test-mlogloss:1.039639+0.050846
## [283] train-mlogloss:0.028516+0.000996 test-mlogloss:1.041045+0.050178
## [284] train-mlogloss:0.028396+0.001007 test-mlogloss:1.042476+0.050213
## [285] train-mlogloss:0.028240+0.001010 test-mlogloss:1.042883+0.051150
## [286] train-mlogloss:0.028078+0.001002 test-mlogloss:1.043208+0.051668
## [287] train-mlogloss:0.027940+0.001023 test-mlogloss:1.044220+0.052546
## [288] train-mlogloss:0.027808+0.001020 test-mlogloss:1.044029+0.052575
## [289] train-mlogloss:0.027662+0.001040 test-mlogloss:1.044588+0.054379
## [290] train-mlogloss:0.027530+0.001008 test-mlogloss:1.046707+0.053663
## [291] train-mlogloss:0.027354+0.000956 test-mlogloss:1.046126+0.053808
## [292] train-mlogloss:0.027192+0.000913 test-mlogloss:1.047582+0.054098
## [293] train-mlogloss:0.027064+0.000942 test-mlogloss:1.049195+0.055733
## [294] train-mlogloss:0.026907+0.000919 test-mlogloss:1.050227+0.056032
## [295] train-mlogloss:0.026740+0.000908 test-mlogloss:1.051645+0.055694
## [296] train-mlogloss:0.026558+0.000856 test-mlogloss:1.051784+0.055392
## [297] train-mlogloss:0.026429+0.000843 test-mlogloss:1.052967+0.055848
## [298] train-mlogloss:0.026303+0.000857 test-mlogloss:1.053704+0.056079
## [299] train-mlogloss:0.026145+0.000847 test-mlogloss:1.054277+0.056048
## [300] train-mlogloss:0.026021+0.000831 test-mlogloss:1.056016+0.055847
## [301] train-mlogloss:0.025880+0.000794 test-mlogloss:1.055900+0.055650
## [302] train-mlogloss:0.025732+0.000746 test-mlogloss:1.056597+0.055424
## [303] train-mlogloss:0.025564+0.000752 test-mlogloss:1.058498+0.056231
## [304] train-mlogloss:0.025432+0.000743 test-mlogloss:1.058926+0.055713
## [305] train-mlogloss:0.025301+0.000736 test-mlogloss:1.059069+0.055716
## [306] train-mlogloss:0.025170+0.000728 test-mlogloss:1.060179+0.056325
## [307] train-mlogloss:0.025015+0.000727 test-mlogloss:1.060928+0.055783
## [308] train-mlogloss:0.024885+0.000710 test-mlogloss:1.063028+0.054434
## [309] train-mlogloss:0.024739+0.000727 test-mlogloss:1.063328+0.054389
## [310] train-mlogloss:0.024594+0.000768 test-mlogloss:1.065284+0.054851
## [311] train-mlogloss:0.024427+0.000749 test-mlogloss:1.066134+0.054321
## [312] train-mlogloss:0.024315+0.000728 test-mlogloss:1.066402+0.054862
## [313] train-mlogloss:0.024242+0.000743 test-mlogloss:1.066154+0.054864
## [314] train-mlogloss:0.024092+0.000707 test-mlogloss:1.067163+0.055299
## [315] train-mlogloss:0.023943+0.000703 test-mlogloss:1.068341+0.055144
## [316] train-mlogloss:0.023814+0.000697 test-mlogloss:1.069033+0.054970
## [317] train-mlogloss:0.023692+0.000707 test-mlogloss:1.069682+0.054164
## [318] train-mlogloss:0.023579+0.000701 test-mlogloss:1.070118+0.054331
## [319] train-mlogloss:0.023459+0.000752 test-mlogloss:1.071713+0.055227
## [320] train-mlogloss:0.023350+0.000745 test-mlogloss:1.071842+0.055015
## [321] train-mlogloss:0.023246+0.000736 test-mlogloss:1.073909+0.053793
## [322] train-mlogloss:0.023119+0.000698 test-mlogloss:1.074357+0.053329
## [323] train-mlogloss:0.023008+0.000661 test-mlogloss:1.074801+0.052892
## [324] train-mlogloss:0.022917+0.000640 test-mlogloss:1.074564+0.053111
## [325] train-mlogloss:0.022822+0.000643 test-mlogloss:1.076092+0.054624
## [326] train-mlogloss:0.022720+0.000619 test-mlogloss:1.078192+0.054130
## [327] train-mlogloss:0.022577+0.000630 test-mlogloss:1.078601+0.054455
## [328] train-mlogloss:0.022466+0.000629 test-mlogloss:1.079866+0.056158
## [329] train-mlogloss:0.022349+0.000625 test-mlogloss:1.080568+0.055611
## [330] train-mlogloss:0.022235+0.000621 test-mlogloss:1.081095+0.054839
## [331] train-mlogloss:0.022137+0.000631 test-mlogloss:1.081776+0.054633
## [332] train-mlogloss:0.022029+0.000623 test-mlogloss:1.082810+0.054642
## [333] train-mlogloss:0.021907+0.000604 test-mlogloss:1.083284+0.054082
## [334] train-mlogloss:0.021800+0.000622 test-mlogloss:1.085155+0.054218
## [335] train-mlogloss:0.021681+0.000657 test-mlogloss:1.085222+0.053054
## [336] train-mlogloss:0.021585+0.000666 test-mlogloss:1.086669+0.054285
## [337] train-mlogloss:0.021459+0.000660 test-mlogloss:1.088367+0.053361
## [338] train-mlogloss:0.021387+0.000660 test-mlogloss:1.089347+0.053090
## [339] train-mlogloss:0.021288+0.000667 test-mlogloss:1.089210+0.054430
## [340] train-mlogloss:0.021168+0.000661 test-mlogloss:1.089832+0.055704
## [341] train-mlogloss:0.021073+0.000628 test-mlogloss:1.091641+0.055528
## [342] train-mlogloss:0.020973+0.000612 test-mlogloss:1.092739+0.056183
## [343] train-mlogloss:0.020881+0.000597 test-mlogloss:1.093603+0.056090
## [344] train-mlogloss:0.020782+0.000588 test-mlogloss:1.093447+0.056726
## [345] train-mlogloss:0.020689+0.000577 test-mlogloss:1.093959+0.056911
## [346] train-mlogloss:0.020592+0.000588 test-mlogloss:1.095385+0.056958
## [347] train-mlogloss:0.020488+0.000577 test-mlogloss:1.095528+0.055649
## [348] train-mlogloss:0.020381+0.000583 test-mlogloss:1.094891+0.055449
## [349] train-mlogloss:0.020285+0.000559 test-mlogloss:1.096361+0.055563
## [350] train-mlogloss:0.020189+0.000561 test-mlogloss:1.097899+0.056593
## [351] train-mlogloss:0.020082+0.000551 test-mlogloss:1.099077+0.056510
## [352] train-mlogloss:0.019990+0.000525 test-mlogloss:1.099911+0.056050
## [353] train-mlogloss:0.019904+0.000509 test-mlogloss:1.099955+0.054875
## [354] train-mlogloss:0.019815+0.000507 test-mlogloss:1.100161+0.053979
## [355] train-mlogloss:0.019734+0.000514 test-mlogloss:1.099871+0.054019
## [356] train-mlogloss:0.019637+0.000506 test-mlogloss:1.100799+0.053400
## [357] train-mlogloss:0.019557+0.000483 test-mlogloss:1.101438+0.054038
## [358] train-mlogloss:0.019460+0.000472 test-mlogloss:1.102370+0.056143
## [359] train-mlogloss:0.019374+0.000506 test-mlogloss:1.103089+0.055292
## [360] train-mlogloss:0.019292+0.000517 test-mlogloss:1.103730+0.055758
## [361] train-mlogloss:0.019222+0.000502 test-mlogloss:1.104751+0.055446
## [362] train-mlogloss:0.019142+0.000498 test-mlogloss:1.105795+0.056051
## [363] train-mlogloss:0.019059+0.000488 test-mlogloss:1.106991+0.056727
## [364] train-mlogloss:0.018969+0.000474 test-mlogloss:1.107907+0.057285
## [365] train-mlogloss:0.018895+0.000491 test-mlogloss:1.108414+0.056613
## [366] train-mlogloss:0.018815+0.000484 test-mlogloss:1.108689+0.056093
## [367] train-mlogloss:0.018716+0.000505 test-mlogloss:1.110240+0.057166
## [368] train-mlogloss:0.018644+0.000499 test-mlogloss:1.111401+0.057068
## [369] train-mlogloss:0.018558+0.000491 test-mlogloss:1.112342+0.057673
## [370] train-mlogloss:0.018459+0.000473 test-mlogloss:1.112807+0.058523
## [371] train-mlogloss:0.018369+0.000481 test-mlogloss:1.112992+0.059015
## [372] train-mlogloss:0.018301+0.000489 test-mlogloss:1.113502+0.058544
## [373] train-mlogloss:0.018218+0.000487 test-mlogloss:1.114072+0.059221
## [374] train-mlogloss:0.018109+0.000469 test-mlogloss:1.115441+0.059356
## [375] train-mlogloss:0.018016+0.000466 test-mlogloss:1.115974+0.059450
## [376] train-mlogloss:0.017921+0.000475 test-mlogloss:1.114808+0.059099
## [377] train-mlogloss:0.017852+0.000471 test-mlogloss:1.115268+0.059871
## [378] train-mlogloss:0.017773+0.000493 test-mlogloss:1.116341+0.059493
## [379] train-mlogloss:0.017698+0.000501 test-mlogloss:1.116451+0.058728
## [380] train-mlogloss:0.017636+0.000504 test-mlogloss:1.117043+0.058612
## [381] train-mlogloss:0.017571+0.000496 test-mlogloss:1.118092+0.059053
## [382] train-mlogloss:0.017489+0.000486 test-mlogloss:1.117406+0.058283
## [383] train-mlogloss:0.017431+0.000477 test-mlogloss:1.117966+0.058620
## [384] train-mlogloss:0.017379+0.000482 test-mlogloss:1.118109+0.057090
## [385] train-mlogloss:0.017285+0.000456 test-mlogloss:1.117440+0.057280
## [386] train-mlogloss:0.017223+0.000480 test-mlogloss:1.118209+0.058952
## [387] train-mlogloss:0.017160+0.000472 test-mlogloss:1.119121+0.058727
## [388] train-mlogloss:0.017090+0.000466 test-mlogloss:1.118741+0.058298
## [389] train-mlogloss:0.017036+0.000479 test-mlogloss:1.120250+0.060322
## [390] train-mlogloss:0.016981+0.000484 test-mlogloss:1.121153+0.060319
## [391] train-mlogloss:0.016931+0.000457 test-mlogloss:1.122192+0.059649
## [392] train-mlogloss:0.016853+0.000456 test-mlogloss:1.122681+0.059718
## [393] train-mlogloss:0.016790+0.000465 test-mlogloss:1.123173+0.059941
## [394] train-mlogloss:0.016716+0.000480 test-mlogloss:1.124112+0.060533
## [395] train-mlogloss:0.016645+0.000479 test-mlogloss:1.124933+0.061187
## [396] train-mlogloss:0.016570+0.000468 test-mlogloss:1.125876+0.062437
## [397] train-mlogloss:0.016503+0.000464 test-mlogloss:1.127019+0.062068
## [398] train-mlogloss:0.016436+0.000449 test-mlogloss:1.127676+0.062525
## [399] train-mlogloss:0.016380+0.000448 test-mlogloss:1.128344+0.062849
## [400] train-mlogloss:0.016334+0.000439 test-mlogloss:1.127853+0.062723
## [401] train-mlogloss:0.016257+0.000449 test-mlogloss:1.129070+0.063520
## [402] train-mlogloss:0.016175+0.000451 test-mlogloss:1.129909+0.062724
## [403] train-mlogloss:0.016117+0.000450 test-mlogloss:1.130770+0.062566
## [404] train-mlogloss:0.016062+0.000437 test-mlogloss:1.131560+0.063483
## [405] train-mlogloss:0.015997+0.000440 test-mlogloss:1.131257+0.063751
## [406] train-mlogloss:0.015942+0.000438 test-mlogloss:1.131659+0.063002
## [407] train-mlogloss:0.015876+0.000438 test-mlogloss:1.132429+0.062727
## [408] train-mlogloss:0.015813+0.000439 test-mlogloss:1.132493+0.062168
## [409] train-mlogloss:0.015757+0.000428 test-mlogloss:1.133103+0.061902
## [410] train-mlogloss:0.015702+0.000428 test-mlogloss:1.134108+0.062266
## [411] train-mlogloss:0.015629+0.000422 test-mlogloss:1.135904+0.062521
## [412] train-mlogloss:0.015573+0.000425 test-mlogloss:1.136043+0.062547
## [413] train-mlogloss:0.015502+0.000415 test-mlogloss:1.137082+0.062321
## [414] train-mlogloss:0.015432+0.000407 test-mlogloss:1.137278+0.061641
## [415] train-mlogloss:0.015372+0.000416 test-mlogloss:1.137769+0.061475
## [416] train-mlogloss:0.015308+0.000389 test-mlogloss:1.139331+0.061846
## [417] train-mlogloss:0.015253+0.000377 test-mlogloss:1.140609+0.061888
## [418] train-mlogloss:0.015195+0.000370 test-mlogloss:1.140916+0.061159
## [419] train-mlogloss:0.015140+0.000372 test-mlogloss:1.141150+0.061789
## [420] train-mlogloss:0.015087+0.000371 test-mlogloss:1.141515+0.062109
## [421] train-mlogloss:0.015028+0.000375 test-mlogloss:1.142471+0.062668
## [422] train-mlogloss:0.014980+0.000368 test-mlogloss:1.143003+0.063521
## [423] train-mlogloss:0.014926+0.000366 test-mlogloss:1.144408+0.064365
## [424] train-mlogloss:0.014875+0.000364 test-mlogloss:1.144629+0.064243
## [425] train-mlogloss:0.014833+0.000353 test-mlogloss:1.145542+0.064223
## [426] train-mlogloss:0.014776+0.000353 test-mlogloss:1.146191+0.064479
## [427] train-mlogloss:0.014738+0.000351 test-mlogloss:1.147344+0.065397
## [428] train-mlogloss:0.014694+0.000345 test-mlogloss:1.147779+0.064951
## [429] train-mlogloss:0.014633+0.000332 test-mlogloss:1.148233+0.065485
## [430] train-mlogloss:0.014589+0.000331 test-mlogloss:1.148674+0.064964
## [431] train-mlogloss:0.014548+0.000327 test-mlogloss:1.149462+0.064952
## [432] train-mlogloss:0.014490+0.000322 test-mlogloss:1.149695+0.065137
## [433] train-mlogloss:0.014443+0.000321 test-mlogloss:1.149224+0.063706
## [434] train-mlogloss:0.014401+0.000317 test-mlogloss:1.149745+0.064074
## [435] train-mlogloss:0.014358+0.000313 test-mlogloss:1.149162+0.064788
## [436] train-mlogloss:0.014315+0.000319 test-mlogloss:1.149694+0.065611
## [437] train-mlogloss:0.014261+0.000318 test-mlogloss:1.150544+0.066425
## [438] train-mlogloss:0.014228+0.000320 test-mlogloss:1.150915+0.067545
## [439] train-mlogloss:0.014160+0.000318 test-mlogloss:1.151559+0.066907
## [440] train-mlogloss:0.014112+0.000315 test-mlogloss:1.152319+0.067269
## [441] train-mlogloss:0.014055+0.000312 test-mlogloss:1.152710+0.066684
## [442] train-mlogloss:0.014021+0.000312 test-mlogloss:1.152772+0.066721
## [443] train-mlogloss:0.013977+0.000313 test-mlogloss:1.154036+0.066329
## [444] train-mlogloss:0.013939+0.000308 test-mlogloss:1.153856+0.066050
## [445] train-mlogloss:0.013896+0.000320 test-mlogloss:1.154778+0.065301
## [446] train-mlogloss:0.013849+0.000320 test-mlogloss:1.155699+0.064900
## [447] train-mlogloss:0.013801+0.000308 test-mlogloss:1.156016+0.065241
## [448] train-mlogloss:0.013746+0.000310 test-mlogloss:1.157792+0.064457
## [449] train-mlogloss:0.013693+0.000301 test-mlogloss:1.157538+0.064299
## [450] train-mlogloss:0.013629+0.000305 test-mlogloss:1.158836+0.064323
## [451] train-mlogloss:0.013584+0.000309 test-mlogloss:1.158920+0.065021
## [452] train-mlogloss:0.013537+0.000311 test-mlogloss:1.159333+0.063940
## [453] train-mlogloss:0.013494+0.000298 test-mlogloss:1.160169+0.064610
## [454] train-mlogloss:0.013457+0.000314 test-mlogloss:1.161065+0.063678
## [455] train-mlogloss:0.013410+0.000316 test-mlogloss:1.160435+0.064650
## [456] train-mlogloss:0.013355+0.000307 test-mlogloss:1.162543+0.064962
## [457] train-mlogloss:0.013320+0.000297 test-mlogloss:1.164242+0.064948
## [458] train-mlogloss:0.013279+0.000297 test-mlogloss:1.164211+0.063841
## [459] train-mlogloss:0.013240+0.000304 test-mlogloss:1.164382+0.064081
## [460] train-mlogloss:0.013198+0.000299 test-mlogloss:1.164673+0.063925
## [461] train-mlogloss:0.013158+0.000292 test-mlogloss:1.165972+0.064013
## [462] train-mlogloss:0.013116+0.000292 test-mlogloss:1.167015+0.063837
## [463] train-mlogloss:0.013079+0.000289 test-mlogloss:1.167009+0.063873
## [464] train-mlogloss:0.013032+0.000293 test-mlogloss:1.167707+0.063063
## [465] train-mlogloss:0.012992+0.000291 test-mlogloss:1.167986+0.063671
## [466] train-mlogloss:0.012959+0.000289 test-mlogloss:1.168926+0.063276
## [467] train-mlogloss:0.012920+0.000286 test-mlogloss:1.169632+0.063553
## [468] train-mlogloss:0.012882+0.000283 test-mlogloss:1.170383+0.063933
## [469] train-mlogloss:0.012845+0.000278 test-mlogloss:1.170706+0.063395
## [470] train-mlogloss:0.012810+0.000274 test-mlogloss:1.171405+0.064095
## [471] train-mlogloss:0.012765+0.000273 test-mlogloss:1.172513+0.065010
## [472] train-mlogloss:0.012721+0.000278 test-mlogloss:1.171978+0.065220
## [473] train-mlogloss:0.012677+0.000272 test-mlogloss:1.172852+0.064695
## [474] train-mlogloss:0.012637+0.000258 test-mlogloss:1.173126+0.064079
## [475] train-mlogloss:0.012598+0.000260 test-mlogloss:1.173185+0.063959
## [476] train-mlogloss:0.012550+0.000264 test-mlogloss:1.173804+0.064556
## [477] train-mlogloss:0.012527+0.000263 test-mlogloss:1.174106+0.064672
## [478] train-mlogloss:0.012491+0.000263 test-mlogloss:1.174167+0.064477
## [479] train-mlogloss:0.012452+0.000255 test-mlogloss:1.174516+0.063797
## [480] train-mlogloss:0.012418+0.000256 test-mlogloss:1.174863+0.062454
## [481] train-mlogloss:0.012374+0.000254 test-mlogloss:1.174564+0.062345
## [482] train-mlogloss:0.012337+0.000254 test-mlogloss:1.175697+0.063242
## [483] train-mlogloss:0.012300+0.000244 test-mlogloss:1.176007+0.064129
## [484] train-mlogloss:0.012267+0.000243 test-mlogloss:1.176218+0.063739
## [485] train-mlogloss:0.012230+0.000232 test-mlogloss:1.176324+0.064337
## [486] train-mlogloss:0.012192+0.000231 test-mlogloss:1.176923+0.064005
## [487] train-mlogloss:0.012164+0.000232 test-mlogloss:1.177301+0.063376
## [488] train-mlogloss:0.012127+0.000225 test-mlogloss:1.177903+0.063888
## [489] train-mlogloss:0.012092+0.000224 test-mlogloss:1.177706+0.064103
## [490] train-mlogloss:0.012060+0.000228 test-mlogloss:1.178372+0.064128
## [491] train-mlogloss:0.012021+0.000213 test-mlogloss:1.178887+0.065139
## [492] train-mlogloss:0.011993+0.000227 test-mlogloss:1.179606+0.066072
## [493] train-mlogloss:0.011958+0.000224 test-mlogloss:1.180126+0.066102
## [494] train-mlogloss:0.011926+0.000221 test-mlogloss:1.181127+0.065263
## [495] train-mlogloss:0.011890+0.000218 test-mlogloss:1.181183+0.064931
## [496] train-mlogloss:0.011867+0.000219 test-mlogloss:1.181155+0.064718
## [497] train-mlogloss:0.011830+0.000225 test-mlogloss:1.182432+0.064921
## [498] train-mlogloss:0.011793+0.000218 test-mlogloss:1.183274+0.064703
## [499] train-mlogloss:0.011746+0.000211 test-mlogloss:1.182987+0.065448
## [500] train-mlogloss:0.011720+0.000204 test-mlogloss:1.182693+0.065121
## [1] train-mlogloss:0.468855+0.003734 test-mlogloss:0.584108+0.007857
## [2] train-mlogloss:0.379508+0.002168 test-mlogloss:0.589223+0.007455
## [3] train-mlogloss:0.321581+0.003331 test-mlogloss:0.605823+0.007172
## [4] train-mlogloss:0.277736+0.003383 test-mlogloss:0.627601+0.007583
## [5] train-mlogloss:0.244060+0.004739 test-mlogloss:0.643812+0.007739
## [6] train-mlogloss:0.216689+0.004513 test-mlogloss:0.659450+0.008118
## [7] train-mlogloss:0.192131+0.004713 test-mlogloss:0.674842+0.009167
## [8] train-mlogloss:0.173106+0.005270 test-mlogloss:0.690273+0.010912
## [9] train-mlogloss:0.155498+0.004482 test-mlogloss:0.700718+0.011490
## [10] train-mlogloss:0.140530+0.003431 test-mlogloss:0.712546+0.011207
## [11] train-mlogloss:0.128129+0.003739 test-mlogloss:0.722543+0.015802
## [12] train-mlogloss:0.117699+0.003329 test-mlogloss:0.731194+0.017530
## [13] train-mlogloss:0.108431+0.003189 test-mlogloss:0.741397+0.014734
## [14] train-mlogloss:0.100825+0.002742 test-mlogloss:0.746937+0.015997
## [15] train-mlogloss:0.093854+0.002388 test-mlogloss:0.754740+0.016003
## [16] train-mlogloss:0.087804+0.001960 test-mlogloss:0.760630+0.017009
## [17] train-mlogloss:0.082235+0.002023 test-mlogloss:0.767691+0.015085
## [18] train-mlogloss:0.077333+0.002026 test-mlogloss:0.770987+0.014737
## [19] train-mlogloss:0.072980+0.002053 test-mlogloss:0.778288+0.017016
## [20] train-mlogloss:0.068848+0.001743 test-mlogloss:0.785268+0.016966
## [21] train-mlogloss:0.065237+0.001350 test-mlogloss:0.789553+0.017770
## [22] train-mlogloss:0.062189+0.001264 test-mlogloss:0.794549+0.018330
## [23] train-mlogloss:0.059552+0.001182 test-mlogloss:0.800950+0.018454
## [24] train-mlogloss:0.056947+0.000961 test-mlogloss:0.807033+0.017912
## [25] train-mlogloss:0.054634+0.000939 test-mlogloss:0.811365+0.018536
## [26] train-mlogloss:0.052369+0.000950 test-mlogloss:0.814959+0.018807
## [27] train-mlogloss:0.050219+0.000820 test-mlogloss:0.818673+0.020402
## [28] train-mlogloss:0.048287+0.000795 test-mlogloss:0.821353+0.020369
## [29] train-mlogloss:0.046619+0.000647 test-mlogloss:0.823639+0.021090
## [30] train-mlogloss:0.044927+0.000593 test-mlogloss:0.827505+0.021990
## [31] train-mlogloss:0.043399+0.000590 test-mlogloss:0.831688+0.022963
## [32] train-mlogloss:0.041977+0.000611 test-mlogloss:0.835983+0.024716
## [33] train-mlogloss:0.040717+0.000611 test-mlogloss:0.839402+0.024440
## [34] train-mlogloss:0.039505+0.000534 test-mlogloss:0.843740+0.024271
## [35] train-mlogloss:0.038333+0.000550 test-mlogloss:0.846744+0.024137
## [36] train-mlogloss:0.037311+0.000520 test-mlogloss:0.849479+0.024321
## [37] train-mlogloss:0.036226+0.000466 test-mlogloss:0.853928+0.024253
## [38] train-mlogloss:0.035296+0.000442 test-mlogloss:0.857261+0.024333
## [39] train-mlogloss:0.034379+0.000429 test-mlogloss:0.859547+0.023236
## [40] train-mlogloss:0.033520+0.000401 test-mlogloss:0.862892+0.020951
## [41] train-mlogloss:0.032685+0.000355 test-mlogloss:0.868220+0.022005
## [42] train-mlogloss:0.031891+0.000314 test-mlogloss:0.871561+0.021619
## [43] train-mlogloss:0.031220+0.000274 test-mlogloss:0.872873+0.021081
## [44] train-mlogloss:0.030482+0.000277 test-mlogloss:0.875128+0.022367
## [45] train-mlogloss:0.029879+0.000247 test-mlogloss:0.876531+0.024441
## [46] train-mlogloss:0.029259+0.000238 test-mlogloss:0.878530+0.025234
## [47] train-mlogloss:0.028649+0.000242 test-mlogloss:0.882074+0.025265
## [48] train-mlogloss:0.028084+0.000208 test-mlogloss:0.886179+0.025494
## [49] train-mlogloss:0.027555+0.000246 test-mlogloss:0.889799+0.024966
## [50] train-mlogloss:0.027065+0.000231 test-mlogloss:0.891963+0.025041
## [51] train-mlogloss:0.026545+0.000216 test-mlogloss:0.893703+0.023439
## [52] train-mlogloss:0.026051+0.000239 test-mlogloss:0.896873+0.024193
## [53] train-mlogloss:0.025621+0.000254 test-mlogloss:0.898577+0.025411
## [54] train-mlogloss:0.025193+0.000267 test-mlogloss:0.900940+0.025814
## [55] train-mlogloss:0.024758+0.000263 test-mlogloss:0.903725+0.025733
## [56] train-mlogloss:0.024342+0.000278 test-mlogloss:0.904836+0.026932
## [57] train-mlogloss:0.023948+0.000249 test-mlogloss:0.905872+0.027051
## [58] train-mlogloss:0.023583+0.000252 test-mlogloss:0.908045+0.028263
## [59] train-mlogloss:0.023249+0.000239 test-mlogloss:0.909472+0.028013
## [60] train-mlogloss:0.022894+0.000221 test-mlogloss:0.911683+0.029299
## [61] train-mlogloss:0.022546+0.000196 test-mlogloss:0.913333+0.028390
## [62] train-mlogloss:0.022245+0.000189 test-mlogloss:0.916573+0.028163
## [63] train-mlogloss:0.021927+0.000216 test-mlogloss:0.918038+0.028876
## [64] train-mlogloss:0.021650+0.000216 test-mlogloss:0.920170+0.029194
## [65] train-mlogloss:0.021367+0.000231 test-mlogloss:0.920620+0.031019
## [66] train-mlogloss:0.021078+0.000239 test-mlogloss:0.922389+0.031673
## [67] train-mlogloss:0.020805+0.000219 test-mlogloss:0.923949+0.033723
## [68] train-mlogloss:0.020525+0.000223 test-mlogloss:0.926687+0.033626
## [69] train-mlogloss:0.020259+0.000236 test-mlogloss:0.929233+0.033048
## [70] train-mlogloss:0.020017+0.000222 test-mlogloss:0.930482+0.033800
## [71] train-mlogloss:0.019788+0.000227 test-mlogloss:0.932160+0.032642
## [72] train-mlogloss:0.019542+0.000203 test-mlogloss:0.932080+0.033071
## [73] train-mlogloss:0.019320+0.000202 test-mlogloss:0.933798+0.032478
## [74] train-mlogloss:0.019095+0.000208 test-mlogloss:0.935236+0.033027
## [75] train-mlogloss:0.018878+0.000211 test-mlogloss:0.936205+0.031459
## [76] train-mlogloss:0.018673+0.000218 test-mlogloss:0.938617+0.030975
## [77] train-mlogloss:0.018484+0.000206 test-mlogloss:0.939783+0.032029
## [78] train-mlogloss:0.018293+0.000224 test-mlogloss:0.940250+0.030225
## [79] train-mlogloss:0.018096+0.000217 test-mlogloss:0.942751+0.030637
## [80] train-mlogloss:0.017899+0.000187 test-mlogloss:0.943556+0.029668
## [81] train-mlogloss:0.017731+0.000179 test-mlogloss:0.945024+0.030684
## [82] train-mlogloss:0.017556+0.000176 test-mlogloss:0.947124+0.030555
## [83] train-mlogloss:0.017401+0.000162 test-mlogloss:0.949146+0.030145
## [84] train-mlogloss:0.017206+0.000170 test-mlogloss:0.949225+0.030042
## [85] train-mlogloss:0.017044+0.000146 test-mlogloss:0.950563+0.028696
## [86] train-mlogloss:0.016885+0.000153 test-mlogloss:0.951869+0.029679
## [87] train-mlogloss:0.016745+0.000149 test-mlogloss:0.952483+0.029063
## [88] train-mlogloss:0.016595+0.000138 test-mlogloss:0.953578+0.029980
## [89] train-mlogloss:0.016457+0.000126 test-mlogloss:0.954921+0.031085
## [90] train-mlogloss:0.016314+0.000117 test-mlogloss:0.954947+0.030612
## [91] train-mlogloss:0.016156+0.000108 test-mlogloss:0.955511+0.030957
## [92] train-mlogloss:0.016023+0.000099 test-mlogloss:0.957266+0.030881
## [93] train-mlogloss:0.015881+0.000092 test-mlogloss:0.958810+0.031083
## [94] train-mlogloss:0.015753+0.000096 test-mlogloss:0.959597+0.029323
## [95] train-mlogloss:0.015625+0.000105 test-mlogloss:0.960889+0.028989
## [96] train-mlogloss:0.015492+0.000110 test-mlogloss:0.962787+0.029126
## [97] train-mlogloss:0.015374+0.000116 test-mlogloss:0.964264+0.028295
## [98] train-mlogloss:0.015248+0.000114 test-mlogloss:0.965171+0.027531
## [99] train-mlogloss:0.015119+0.000120 test-mlogloss:0.965417+0.029002
## [100] train-mlogloss:0.015006+0.000129 test-mlogloss:0.967581+0.028697
## [101] train-mlogloss:0.014895+0.000122 test-mlogloss:0.969264+0.028567
## [102] train-mlogloss:0.014778+0.000114 test-mlogloss:0.970011+0.028338
## [103] train-mlogloss:0.014667+0.000104 test-mlogloss:0.971061+0.028655
## [104] train-mlogloss:0.014563+0.000100 test-mlogloss:0.971528+0.029091
## [105] train-mlogloss:0.014460+0.000101 test-mlogloss:0.972473+0.029739
## [106] train-mlogloss:0.014352+0.000105 test-mlogloss:0.973507+0.030308
## [107] train-mlogloss:0.014251+0.000107 test-mlogloss:0.974824+0.031178
## [108] train-mlogloss:0.014140+0.000093 test-mlogloss:0.975420+0.030540
## [109] train-mlogloss:0.014036+0.000082 test-mlogloss:0.976878+0.030782
## [110] train-mlogloss:0.013933+0.000071 test-mlogloss:0.977435+0.030574
## [111] train-mlogloss:0.013835+0.000075 test-mlogloss:0.978185+0.032051
## [112] train-mlogloss:0.013737+0.000085 test-mlogloss:0.979491+0.033081
## [113] train-mlogloss:0.013637+0.000089 test-mlogloss:0.981734+0.033780
## [114] train-mlogloss:0.013541+0.000093 test-mlogloss:0.983085+0.033898
## [115] train-mlogloss:0.013449+0.000090 test-mlogloss:0.984497+0.033489
## [116] train-mlogloss:0.013356+0.000094 test-mlogloss:0.985067+0.032804
## [117] train-mlogloss:0.013269+0.000088 test-mlogloss:0.986054+0.032909
## [118] train-mlogloss:0.013182+0.000104 test-mlogloss:0.986906+0.033462
## [119] train-mlogloss:0.013088+0.000099 test-mlogloss:0.988731+0.033189
## [120] train-mlogloss:0.013001+0.000095 test-mlogloss:0.989558+0.033493
## [121] train-mlogloss:0.012928+0.000104 test-mlogloss:0.990968+0.034100
## [122] train-mlogloss:0.012839+0.000100 test-mlogloss:0.991727+0.035044
## [123] train-mlogloss:0.012762+0.000093 test-mlogloss:0.993278+0.035028
## [124] train-mlogloss:0.012682+0.000094 test-mlogloss:0.994357+0.034184
## [125] train-mlogloss:0.012606+0.000091 test-mlogloss:0.996862+0.034205
## [126] train-mlogloss:0.012529+0.000089 test-mlogloss:0.997531+0.034111
## [127] train-mlogloss:0.012455+0.000085 test-mlogloss:0.998600+0.035046
## [128] train-mlogloss:0.012367+0.000087 test-mlogloss:0.999188+0.034331
## [129] train-mlogloss:0.012309+0.000077 test-mlogloss:0.999954+0.033658
## [130] train-mlogloss:0.012237+0.000071 test-mlogloss:1.000676+0.034161
## [131] train-mlogloss:0.012157+0.000080 test-mlogloss:1.000299+0.032992
## [132] train-mlogloss:0.012086+0.000073 test-mlogloss:1.000946+0.033917
## [133] train-mlogloss:0.012019+0.000085 test-mlogloss:1.001632+0.032956
## [134] train-mlogloss:0.011956+0.000085 test-mlogloss:1.002075+0.032864
## [135] train-mlogloss:0.011896+0.000082 test-mlogloss:1.003689+0.033242
## [136] train-mlogloss:0.011829+0.000092 test-mlogloss:1.003717+0.032984
## [137] train-mlogloss:0.011762+0.000088 test-mlogloss:1.004652+0.031521
## [138] train-mlogloss:0.011695+0.000085 test-mlogloss:1.005147+0.031674
## [139] train-mlogloss:0.011630+0.000088 test-mlogloss:1.006080+0.029906
## [140] train-mlogloss:0.011573+0.000079 test-mlogloss:1.007141+0.030594
## [141] train-mlogloss:0.011509+0.000086 test-mlogloss:1.007624+0.029405
## [142] train-mlogloss:0.011442+0.000076 test-mlogloss:1.007732+0.028894
## [143] train-mlogloss:0.011385+0.000080 test-mlogloss:1.009155+0.029358
## [144] train-mlogloss:0.011333+0.000078 test-mlogloss:1.010161+0.029748
## [145] train-mlogloss:0.011277+0.000068 test-mlogloss:1.010424+0.029343
## [146] train-mlogloss:0.011226+0.000065 test-mlogloss:1.011200+0.030126
## [147] train-mlogloss:0.011169+0.000061 test-mlogloss:1.011777+0.029206
## [148] train-mlogloss:0.011114+0.000054 test-mlogloss:1.012824+0.030043
## [149] train-mlogloss:0.011068+0.000067 test-mlogloss:1.012788+0.029760
## [150] train-mlogloss:0.011009+0.000072 test-mlogloss:1.013827+0.030380
## [151] train-mlogloss:0.010952+0.000074 test-mlogloss:1.015388+0.031057
## [152] train-mlogloss:0.010901+0.000076 test-mlogloss:1.017646+0.030381
## [153] train-mlogloss:0.010839+0.000075 test-mlogloss:1.018421+0.030895
## [154] train-mlogloss:0.010786+0.000070 test-mlogloss:1.018667+0.031712
## [155] train-mlogloss:0.010732+0.000070 test-mlogloss:1.018102+0.031338
## [156] train-mlogloss:0.010682+0.000070 test-mlogloss:1.018620+0.031580
## [157] train-mlogloss:0.010632+0.000072 test-mlogloss:1.019484+0.030846
## [158] train-mlogloss:0.010585+0.000074 test-mlogloss:1.020089+0.030185
## [159] train-mlogloss:0.010535+0.000079 test-mlogloss:1.020119+0.028967
## [160] train-mlogloss:0.010483+0.000078 test-mlogloss:1.021224+0.029928
## [161] train-mlogloss:0.010448+0.000075 test-mlogloss:1.021955+0.030333
## [162] train-mlogloss:0.010403+0.000068 test-mlogloss:1.022827+0.030491
## [163] train-mlogloss:0.010361+0.000072 test-mlogloss:1.022873+0.029800
## [164] train-mlogloss:0.010318+0.000073 test-mlogloss:1.023462+0.030210
## [165] train-mlogloss:0.010271+0.000077 test-mlogloss:1.024547+0.030144
## [166] train-mlogloss:0.010224+0.000074 test-mlogloss:1.026381+0.029550
## [167] train-mlogloss:0.010185+0.000086 test-mlogloss:1.026786+0.029061
## [168] train-mlogloss:0.010140+0.000091 test-mlogloss:1.026266+0.029094
## [169] train-mlogloss:0.010098+0.000083 test-mlogloss:1.025859+0.028636
## [170] train-mlogloss:0.010058+0.000076 test-mlogloss:1.026913+0.027906
## [171] train-mlogloss:0.010009+0.000080 test-mlogloss:1.028290+0.028721
## [172] train-mlogloss:0.009968+0.000082 test-mlogloss:1.028578+0.028872
## [173] train-mlogloss:0.009928+0.000087 test-mlogloss:1.029040+0.029521
## [174] train-mlogloss:0.009892+0.000089 test-mlogloss:1.029359+0.029077
## [175] train-mlogloss:0.009858+0.000089 test-mlogloss:1.031062+0.028649
## [176] train-mlogloss:0.009815+0.000088 test-mlogloss:1.031644+0.029199
## [177] train-mlogloss:0.009775+0.000087 test-mlogloss:1.032112+0.029350
## [178] train-mlogloss:0.009737+0.000083 test-mlogloss:1.031978+0.028769
## [179] train-mlogloss:0.009698+0.000080 test-mlogloss:1.033353+0.029351
## [180] train-mlogloss:0.009656+0.000088 test-mlogloss:1.033830+0.028911
## [181] train-mlogloss:0.009617+0.000083 test-mlogloss:1.034048+0.028601
## [182] train-mlogloss:0.009584+0.000083 test-mlogloss:1.034471+0.029265
## [183] train-mlogloss:0.009552+0.000078 test-mlogloss:1.036148+0.030210
## [184] train-mlogloss:0.009517+0.000074 test-mlogloss:1.036111+0.030498
## [185] train-mlogloss:0.009486+0.000072 test-mlogloss:1.036915+0.030882
## [186] train-mlogloss:0.009450+0.000068 test-mlogloss:1.038023+0.030339
## [187] train-mlogloss:0.009416+0.000071 test-mlogloss:1.039229+0.030647
## [188] train-mlogloss:0.009378+0.000071 test-mlogloss:1.039346+0.031771
## [189] train-mlogloss:0.009344+0.000070 test-mlogloss:1.040319+0.031289
## [190] train-mlogloss:0.009307+0.000068 test-mlogloss:1.039210+0.031288
## [191] train-mlogloss:0.009271+0.000065 test-mlogloss:1.041198+0.031577
## [192] train-mlogloss:0.009235+0.000064 test-mlogloss:1.042926+0.031097
## [193] train-mlogloss:0.009198+0.000066 test-mlogloss:1.043763+0.031615
## [194] train-mlogloss:0.009159+0.000064 test-mlogloss:1.045089+0.030937
## [195] train-mlogloss:0.009123+0.000065 test-mlogloss:1.045002+0.031490
## [196] train-mlogloss:0.009091+0.000061 test-mlogloss:1.045439+0.031623
## [197] train-mlogloss:0.009059+0.000063 test-mlogloss:1.045148+0.031892
## [198] train-mlogloss:0.009030+0.000069 test-mlogloss:1.045141+0.031754
## [199] train-mlogloss:0.009002+0.000066 test-mlogloss:1.045627+0.032423
## [200] train-mlogloss:0.008971+0.000063 test-mlogloss:1.046955+0.032233
## [201] train-mlogloss:0.008943+0.000064 test-mlogloss:1.047975+0.031736
## [202] train-mlogloss:0.008907+0.000064 test-mlogloss:1.048669+0.032426
## [203] train-mlogloss:0.008880+0.000062 test-mlogloss:1.048268+0.031236
## [204] train-mlogloss:0.008845+0.000061 test-mlogloss:1.049102+0.030922
## [205] train-mlogloss:0.008816+0.000059 test-mlogloss:1.049642+0.031473
## [206] train-mlogloss:0.008788+0.000059 test-mlogloss:1.050184+0.031092
## [207] train-mlogloss:0.008757+0.000059 test-mlogloss:1.050638+0.031526
## [208] train-mlogloss:0.008728+0.000060 test-mlogloss:1.051554+0.030732
## [209] train-mlogloss:0.008698+0.000054 test-mlogloss:1.052690+0.030158
## [210] train-mlogloss:0.008672+0.000059 test-mlogloss:1.051336+0.029581
## [211] train-mlogloss:0.008646+0.000055 test-mlogloss:1.051978+0.029913
## [212] train-mlogloss:0.008618+0.000053 test-mlogloss:1.052213+0.029993
## [213] train-mlogloss:0.008593+0.000056 test-mlogloss:1.052054+0.029765
## [214] train-mlogloss:0.008569+0.000057 test-mlogloss:1.053270+0.029499
## [215] train-mlogloss:0.008541+0.000058 test-mlogloss:1.054356+0.029482
## [216] train-mlogloss:0.008517+0.000057 test-mlogloss:1.053870+0.029521
## [217] train-mlogloss:0.008488+0.000055 test-mlogloss:1.054638+0.029197
## [218] train-mlogloss:0.008458+0.000055 test-mlogloss:1.056071+0.030397
## [219] train-mlogloss:0.008436+0.000058 test-mlogloss:1.056038+0.029876
## [220] train-mlogloss:0.008409+0.000060 test-mlogloss:1.055616+0.030743
## [221] train-mlogloss:0.008383+0.000057 test-mlogloss:1.055795+0.029833
## [222] train-mlogloss:0.008359+0.000061 test-mlogloss:1.057419+0.029793
## [223] train-mlogloss:0.008333+0.000056 test-mlogloss:1.057178+0.030343
## [224] train-mlogloss:0.008309+0.000060 test-mlogloss:1.058514+0.029954
## [225] train-mlogloss:0.008288+0.000060 test-mlogloss:1.059009+0.030232
## [226] train-mlogloss:0.008263+0.000061 test-mlogloss:1.059059+0.030466
## [227] train-mlogloss:0.008234+0.000058 test-mlogloss:1.059861+0.030040
## [228] train-mlogloss:0.008212+0.000062 test-mlogloss:1.060487+0.029980
## [229] train-mlogloss:0.008190+0.000070 test-mlogloss:1.060358+0.029802
## [230] train-mlogloss:0.008165+0.000066 test-mlogloss:1.061378+0.030916
## [231] train-mlogloss:0.008143+0.000063 test-mlogloss:1.061971+0.030328
## [232] train-mlogloss:0.008119+0.000063 test-mlogloss:1.063394+0.029636
## [233] train-mlogloss:0.008094+0.000062 test-mlogloss:1.062758+0.029535
## [234] train-mlogloss:0.008070+0.000060 test-mlogloss:1.063431+0.029460
## [235] train-mlogloss:0.008049+0.000057 test-mlogloss:1.063799+0.030638
## [236] train-mlogloss:0.008026+0.000060 test-mlogloss:1.064457+0.030679
## [237] train-mlogloss:0.008009+0.000060 test-mlogloss:1.064283+0.031418
## [238] train-mlogloss:0.007988+0.000061 test-mlogloss:1.064688+0.031717
## [239] train-mlogloss:0.007968+0.000064 test-mlogloss:1.065741+0.031880
## [240] train-mlogloss:0.007943+0.000065 test-mlogloss:1.066403+0.031683
## [241] train-mlogloss:0.007920+0.000067 test-mlogloss:1.067112+0.031425
## [242] train-mlogloss:0.007900+0.000068 test-mlogloss:1.067738+0.031116
## [243] train-mlogloss:0.007877+0.000070 test-mlogloss:1.066256+0.030732
## [244] train-mlogloss:0.007862+0.000064 test-mlogloss:1.067061+0.031049
## [245] train-mlogloss:0.007842+0.000068 test-mlogloss:1.066771+0.030525
## [246] train-mlogloss:0.007821+0.000066 test-mlogloss:1.067580+0.031160
## [247] train-mlogloss:0.007797+0.000062 test-mlogloss:1.069094+0.031447
## [248] train-mlogloss:0.007779+0.000061 test-mlogloss:1.069649+0.030934
## [249] train-mlogloss:0.007760+0.000060 test-mlogloss:1.070250+0.030300
## [250] train-mlogloss:0.007747+0.000059 test-mlogloss:1.071131+0.030551
## [251] train-mlogloss:0.007725+0.000060 test-mlogloss:1.071329+0.030530
## [252] train-mlogloss:0.007700+0.000059 test-mlogloss:1.071056+0.029728
## [253] train-mlogloss:0.007685+0.000060 test-mlogloss:1.071527+0.030000
## [254] train-mlogloss:0.007669+0.000058 test-mlogloss:1.072900+0.031147
## [255] train-mlogloss:0.007647+0.000056 test-mlogloss:1.073068+0.031182
## [256] train-mlogloss:0.007628+0.000053 test-mlogloss:1.072944+0.030736
## [257] train-mlogloss:0.007607+0.000058 test-mlogloss:1.072449+0.031619
## [258] train-mlogloss:0.007590+0.000062 test-mlogloss:1.072532+0.031178
## [259] train-mlogloss:0.007570+0.000061 test-mlogloss:1.072871+0.032149
## [260] train-mlogloss:0.007555+0.000060 test-mlogloss:1.074050+0.033156
## [261] train-mlogloss:0.007536+0.000059 test-mlogloss:1.075188+0.032188
## [262] train-mlogloss:0.007521+0.000057 test-mlogloss:1.075137+0.031745
## [263] train-mlogloss:0.007503+0.000056 test-mlogloss:1.076204+0.032097
## [264] train-mlogloss:0.007485+0.000056 test-mlogloss:1.076016+0.031755
## [265] train-mlogloss:0.007469+0.000054 test-mlogloss:1.076931+0.031570
## [266] train-mlogloss:0.007452+0.000052 test-mlogloss:1.076839+0.030168
## [267] train-mlogloss:0.007436+0.000051 test-mlogloss:1.076454+0.029905
## [268] train-mlogloss:0.007419+0.000055 test-mlogloss:1.076709+0.029955
## [269] train-mlogloss:0.007399+0.000056 test-mlogloss:1.077416+0.030743
## [270] train-mlogloss:0.007387+0.000058 test-mlogloss:1.077803+0.031052
## [271] train-mlogloss:0.007368+0.000061 test-mlogloss:1.078024+0.030623
## [272] train-mlogloss:0.007351+0.000062 test-mlogloss:1.078094+0.030708
## [273] train-mlogloss:0.007337+0.000061 test-mlogloss:1.077755+0.030942
## [274] train-mlogloss:0.007317+0.000061 test-mlogloss:1.078410+0.030737
## [275] train-mlogloss:0.007303+0.000058 test-mlogloss:1.079351+0.031437
## [276] train-mlogloss:0.007287+0.000062 test-mlogloss:1.080313+0.031271
## [277] train-mlogloss:0.007268+0.000061 test-mlogloss:1.080511+0.030176
## [278] train-mlogloss:0.007248+0.000062 test-mlogloss:1.081202+0.029723
## [279] train-mlogloss:0.007231+0.000064 test-mlogloss:1.080869+0.030637
## [280] train-mlogloss:0.007216+0.000064 test-mlogloss:1.081537+0.030955
## [281] train-mlogloss:0.007201+0.000063 test-mlogloss:1.082127+0.032135
## [282] train-mlogloss:0.007185+0.000065 test-mlogloss:1.083701+0.031629
## [283] train-mlogloss:0.007169+0.000065 test-mlogloss:1.083876+0.032119
## [284] train-mlogloss:0.007155+0.000066 test-mlogloss:1.083976+0.032878
## [285] train-mlogloss:0.007134+0.000065 test-mlogloss:1.084479+0.032865
## [286] train-mlogloss:0.007114+0.000063 test-mlogloss:1.084892+0.032344
## [287] train-mlogloss:0.007099+0.000062 test-mlogloss:1.085449+0.033267
## [288] train-mlogloss:0.007084+0.000061 test-mlogloss:1.085872+0.033414
## [289] train-mlogloss:0.007066+0.000061 test-mlogloss:1.085548+0.033470
## [290] train-mlogloss:0.007050+0.000060 test-mlogloss:1.086127+0.033394
## [291] train-mlogloss:0.007034+0.000064 test-mlogloss:1.086346+0.033170
## [292] train-mlogloss:0.007020+0.000064 test-mlogloss:1.087128+0.033526
## [293] train-mlogloss:0.007005+0.000064 test-mlogloss:1.087822+0.033722
## [294] train-mlogloss:0.006986+0.000065 test-mlogloss:1.087888+0.033444
## [295] train-mlogloss:0.006972+0.000063 test-mlogloss:1.088487+0.033765
## [296] train-mlogloss:0.006956+0.000064 test-mlogloss:1.088372+0.033659
## [297] train-mlogloss:0.006941+0.000063 test-mlogloss:1.088268+0.033713
## [298] train-mlogloss:0.006931+0.000064 test-mlogloss:1.088804+0.034325
## [299] train-mlogloss:0.006914+0.000065 test-mlogloss:1.088813+0.033877
## [300] train-mlogloss:0.006899+0.000064 test-mlogloss:1.088997+0.034563
## [301] train-mlogloss:0.006884+0.000063 test-mlogloss:1.089658+0.034490
## [302] train-mlogloss:0.006871+0.000062 test-mlogloss:1.090393+0.034199
## [303] train-mlogloss:0.006854+0.000060 test-mlogloss:1.089408+0.033465
## [304] train-mlogloss:0.006843+0.000059 test-mlogloss:1.089372+0.033228
## [305] train-mlogloss:0.006827+0.000057 test-mlogloss:1.088867+0.032935
## [306] train-mlogloss:0.006816+0.000056 test-mlogloss:1.090294+0.033583
## [307] train-mlogloss:0.006799+0.000058 test-mlogloss:1.090360+0.034965
## [308] train-mlogloss:0.006784+0.000061 test-mlogloss:1.090959+0.034647
## [309] train-mlogloss:0.006768+0.000063 test-mlogloss:1.090832+0.034308
## [310] train-mlogloss:0.006755+0.000065 test-mlogloss:1.092055+0.034525
## [311] train-mlogloss:0.006746+0.000062 test-mlogloss:1.092247+0.034196
## [312] train-mlogloss:0.006729+0.000064 test-mlogloss:1.092076+0.033953
## [313] train-mlogloss:0.006714+0.000063 test-mlogloss:1.092710+0.034638
## [314] train-mlogloss:0.006700+0.000063 test-mlogloss:1.093006+0.034432
## [315] train-mlogloss:0.006686+0.000064 test-mlogloss:1.094036+0.034979
## [316] train-mlogloss:0.006675+0.000063 test-mlogloss:1.093974+0.034628
## [317] train-mlogloss:0.006665+0.000063 test-mlogloss:1.094185+0.034461
## [318] train-mlogloss:0.006650+0.000064 test-mlogloss:1.095392+0.035003
## [319] train-mlogloss:0.006636+0.000063 test-mlogloss:1.095831+0.035213
## [320] train-mlogloss:0.006623+0.000060 test-mlogloss:1.096102+0.034901
## [321] train-mlogloss:0.006610+0.000063 test-mlogloss:1.096521+0.035915
## [322] train-mlogloss:0.006594+0.000062 test-mlogloss:1.096214+0.035580
## [323] train-mlogloss:0.006583+0.000060 test-mlogloss:1.096489+0.035542
## [324] train-mlogloss:0.006568+0.000064 test-mlogloss:1.096731+0.036292
## [325] train-mlogloss:0.006557+0.000060 test-mlogloss:1.096489+0.036856
## [326] train-mlogloss:0.006543+0.000061 test-mlogloss:1.097002+0.036212
## [327] train-mlogloss:0.006529+0.000062 test-mlogloss:1.097571+0.036422
## [328] train-mlogloss:0.006519+0.000061 test-mlogloss:1.097546+0.036099
## [329] train-mlogloss:0.006508+0.000061 test-mlogloss:1.097976+0.035579
## [330] train-mlogloss:0.006495+0.000059 test-mlogloss:1.098908+0.035946
## [331] train-mlogloss:0.006484+0.000058 test-mlogloss:1.099922+0.036187
## [332] train-mlogloss:0.006473+0.000056 test-mlogloss:1.099356+0.035758
## [333] train-mlogloss:0.006461+0.000056 test-mlogloss:1.100222+0.035621
## [334] train-mlogloss:0.006446+0.000055 test-mlogloss:1.100067+0.035595
## [335] train-mlogloss:0.006435+0.000055 test-mlogloss:1.100235+0.035408
## [336] train-mlogloss:0.006423+0.000055 test-mlogloss:1.100001+0.035620
## [337] train-mlogloss:0.006414+0.000058 test-mlogloss:1.100369+0.035262
## [338] train-mlogloss:0.006404+0.000059 test-mlogloss:1.100514+0.034622
## [339] train-mlogloss:0.006393+0.000060 test-mlogloss:1.101229+0.034302
## [340] train-mlogloss:0.006381+0.000061 test-mlogloss:1.102026+0.035015
## [341] train-mlogloss:0.006369+0.000061 test-mlogloss:1.101755+0.035696
## [342] train-mlogloss:0.006358+0.000058 test-mlogloss:1.102323+0.034852
## [343] train-mlogloss:0.006348+0.000058 test-mlogloss:1.103095+0.034641
## [344] train-mlogloss:0.006337+0.000059 test-mlogloss:1.102970+0.034184
## [345] train-mlogloss:0.006329+0.000057 test-mlogloss:1.103276+0.034049
## [346] train-mlogloss:0.006316+0.000055 test-mlogloss:1.103866+0.035031
## [347] train-mlogloss:0.006305+0.000052 test-mlogloss:1.103970+0.034538
## [348] train-mlogloss:0.006291+0.000054 test-mlogloss:1.104176+0.035031
## [349] train-mlogloss:0.006282+0.000055 test-mlogloss:1.105132+0.035846
## [350] train-mlogloss:0.006272+0.000055 test-mlogloss:1.104465+0.034835
## [351] train-mlogloss:0.006259+0.000054 test-mlogloss:1.103794+0.035672
## [352] train-mlogloss:0.006249+0.000054 test-mlogloss:1.103968+0.036314
## [353] train-mlogloss:0.006238+0.000055 test-mlogloss:1.104605+0.036952
## [354] train-mlogloss:0.006230+0.000052 test-mlogloss:1.104274+0.037021
## [355] train-mlogloss:0.006217+0.000053 test-mlogloss:1.104440+0.036913
## [356] train-mlogloss:0.006204+0.000054 test-mlogloss:1.104272+0.036531
## [357] train-mlogloss:0.006194+0.000058 test-mlogloss:1.105117+0.037034
## [358] train-mlogloss:0.006186+0.000056 test-mlogloss:1.105928+0.037789
## [359] train-mlogloss:0.006174+0.000055 test-mlogloss:1.106393+0.037408
## [360] train-mlogloss:0.006164+0.000054 test-mlogloss:1.106873+0.037413
## [361] train-mlogloss:0.006155+0.000052 test-mlogloss:1.107045+0.036258
## [362] train-mlogloss:0.006145+0.000053 test-mlogloss:1.108012+0.036651
## [363] train-mlogloss:0.006135+0.000054 test-mlogloss:1.108540+0.037512
## [364] train-mlogloss:0.006123+0.000051 test-mlogloss:1.109071+0.037108
## [365] train-mlogloss:0.006113+0.000052 test-mlogloss:1.109620+0.037524
## [366] train-mlogloss:0.006104+0.000053 test-mlogloss:1.110006+0.037122
## [367] train-mlogloss:0.006094+0.000053 test-mlogloss:1.110541+0.036196
## [368] train-mlogloss:0.006083+0.000057 test-mlogloss:1.110871+0.035651
## [369] train-mlogloss:0.006073+0.000055 test-mlogloss:1.111296+0.036218
## [370] train-mlogloss:0.006063+0.000056 test-mlogloss:1.111109+0.036774
## [371] train-mlogloss:0.006055+0.000055 test-mlogloss:1.111720+0.037111
## [372] train-mlogloss:0.006045+0.000058 test-mlogloss:1.111205+0.036375
## [373] train-mlogloss:0.006036+0.000059 test-mlogloss:1.111557+0.036516
## [374] train-mlogloss:0.006023+0.000060 test-mlogloss:1.112256+0.036418
## [375] train-mlogloss:0.006014+0.000062 test-mlogloss:1.111818+0.037818
## [376] train-mlogloss:0.006004+0.000062 test-mlogloss:1.111391+0.037852
## [377] train-mlogloss:0.005990+0.000061 test-mlogloss:1.112376+0.038545
## [378] train-mlogloss:0.005982+0.000060 test-mlogloss:1.112850+0.038428
## [379] train-mlogloss:0.005973+0.000060 test-mlogloss:1.112965+0.037460
## [380] train-mlogloss:0.005964+0.000059 test-mlogloss:1.113477+0.037397
## [381] train-mlogloss:0.005955+0.000060 test-mlogloss:1.113165+0.037240
## [382] train-mlogloss:0.005946+0.000059 test-mlogloss:1.113546+0.037484
## [383] train-mlogloss:0.005935+0.000059 test-mlogloss:1.113078+0.036976
## [384] train-mlogloss:0.005927+0.000059 test-mlogloss:1.113535+0.037771
## [385] train-mlogloss:0.005919+0.000059 test-mlogloss:1.114438+0.037248
## [386] train-mlogloss:0.005910+0.000059 test-mlogloss:1.114018+0.037715
## [387] train-mlogloss:0.005901+0.000059 test-mlogloss:1.114147+0.037000
## [388] train-mlogloss:0.005893+0.000057 test-mlogloss:1.114403+0.036629
## [389] train-mlogloss:0.005887+0.000056 test-mlogloss:1.114230+0.035603
## [390] train-mlogloss:0.005879+0.000055 test-mlogloss:1.115231+0.035720
## [391] train-mlogloss:0.005869+0.000057 test-mlogloss:1.115869+0.035933
## [392] train-mlogloss:0.005860+0.000057 test-mlogloss:1.116644+0.035201
## [393] train-mlogloss:0.005852+0.000056 test-mlogloss:1.116436+0.035349
## [394] train-mlogloss:0.005845+0.000056 test-mlogloss:1.115794+0.035249
## [395] train-mlogloss:0.005835+0.000057 test-mlogloss:1.116298+0.036068
## [396] train-mlogloss:0.005828+0.000059 test-mlogloss:1.115888+0.035614
## [397] train-mlogloss:0.005821+0.000060 test-mlogloss:1.116374+0.034776
## [398] train-mlogloss:0.005812+0.000058 test-mlogloss:1.116028+0.034861
## [399] train-mlogloss:0.005802+0.000057 test-mlogloss:1.116745+0.034931
## [400] train-mlogloss:0.005796+0.000055 test-mlogloss:1.117066+0.034880
## [401] train-mlogloss:0.005785+0.000055 test-mlogloss:1.117452+0.035474
## [402] train-mlogloss:0.005776+0.000053 test-mlogloss:1.117532+0.034536
## [403] train-mlogloss:0.005771+0.000053 test-mlogloss:1.117769+0.034606
## [404] train-mlogloss:0.005763+0.000052 test-mlogloss:1.117840+0.035494
## [405] train-mlogloss:0.005757+0.000053 test-mlogloss:1.118422+0.035784
## [406] train-mlogloss:0.005747+0.000054 test-mlogloss:1.119102+0.036080
## [407] train-mlogloss:0.005742+0.000053 test-mlogloss:1.120046+0.036209
## [408] train-mlogloss:0.005735+0.000055 test-mlogloss:1.119597+0.035214
## [409] train-mlogloss:0.005726+0.000053 test-mlogloss:1.119055+0.035728
## [410] train-mlogloss:0.005720+0.000053 test-mlogloss:1.119163+0.035955
## [411] train-mlogloss:0.005711+0.000055 test-mlogloss:1.119413+0.036175
## [412] train-mlogloss:0.005704+0.000055 test-mlogloss:1.119779+0.036822
## [413] train-mlogloss:0.005697+0.000056 test-mlogloss:1.119200+0.036473
## [414] train-mlogloss:0.005688+0.000055 test-mlogloss:1.119781+0.036592
## [415] train-mlogloss:0.005680+0.000057 test-mlogloss:1.120476+0.036074
## [416] train-mlogloss:0.005674+0.000058 test-mlogloss:1.120342+0.035877
## [417] train-mlogloss:0.005665+0.000056 test-mlogloss:1.121044+0.036155
## [418] train-mlogloss:0.005658+0.000054 test-mlogloss:1.121307+0.035656
## [419] train-mlogloss:0.005652+0.000055 test-mlogloss:1.121530+0.036446
## [420] train-mlogloss:0.005644+0.000054 test-mlogloss:1.121658+0.036627
## [421] train-mlogloss:0.005636+0.000053 test-mlogloss:1.122318+0.035745
## [422] train-mlogloss:0.005626+0.000052 test-mlogloss:1.122212+0.035721
## [423] train-mlogloss:0.005619+0.000051 test-mlogloss:1.122779+0.035832
## [424] train-mlogloss:0.005612+0.000050 test-mlogloss:1.123317+0.036764
## [425] train-mlogloss:0.005605+0.000049 test-mlogloss:1.123216+0.037252
## [426] train-mlogloss:0.005598+0.000049 test-mlogloss:1.124211+0.037535
## [427] train-mlogloss:0.005591+0.000049 test-mlogloss:1.124616+0.037067
## [428] train-mlogloss:0.005585+0.000050 test-mlogloss:1.125315+0.037060
## [429] train-mlogloss:0.005576+0.000050 test-mlogloss:1.125005+0.036524
## [430] train-mlogloss:0.005569+0.000052 test-mlogloss:1.125166+0.036107
## [431] train-mlogloss:0.005558+0.000051 test-mlogloss:1.125445+0.035979
## [432] train-mlogloss:0.005551+0.000050 test-mlogloss:1.125652+0.035757
## [433] train-mlogloss:0.005545+0.000051 test-mlogloss:1.126306+0.035229
## [434] train-mlogloss:0.005538+0.000048 test-mlogloss:1.126474+0.035731
## [435] train-mlogloss:0.005529+0.000051 test-mlogloss:1.127018+0.035198
## [436] train-mlogloss:0.005521+0.000052 test-mlogloss:1.126289+0.035300
## [437] train-mlogloss:0.005515+0.000051 test-mlogloss:1.127944+0.035359
## [438] train-mlogloss:0.005506+0.000050 test-mlogloss:1.127547+0.034918
## [439] train-mlogloss:0.005497+0.000048 test-mlogloss:1.128301+0.035004
## [440] train-mlogloss:0.005491+0.000049 test-mlogloss:1.128765+0.035266
## [441] train-mlogloss:0.005487+0.000049 test-mlogloss:1.129596+0.035521
## [442] train-mlogloss:0.005479+0.000047 test-mlogloss:1.129698+0.035303
## [443] train-mlogloss:0.005473+0.000045 test-mlogloss:1.129577+0.035074
## [444] train-mlogloss:0.005468+0.000045 test-mlogloss:1.129735+0.035667
## [445] train-mlogloss:0.005462+0.000045 test-mlogloss:1.129851+0.036598
## [446] train-mlogloss:0.005454+0.000045 test-mlogloss:1.129664+0.036795
## [447] train-mlogloss:0.005449+0.000044 test-mlogloss:1.129503+0.036952
## [448] train-mlogloss:0.005443+0.000043 test-mlogloss:1.129408+0.036891
## [449] train-mlogloss:0.005436+0.000040 test-mlogloss:1.129615+0.036296
## [450] train-mlogloss:0.005430+0.000040 test-mlogloss:1.129548+0.037217
## [451] train-mlogloss:0.005424+0.000040 test-mlogloss:1.130162+0.036575
## [452] train-mlogloss:0.005418+0.000037 test-mlogloss:1.130304+0.036630
## [453] train-mlogloss:0.005412+0.000037 test-mlogloss:1.131185+0.037081
## [454] train-mlogloss:0.005405+0.000038 test-mlogloss:1.130858+0.036899
## [455] train-mlogloss:0.005399+0.000038 test-mlogloss:1.131615+0.036554
## [456] train-mlogloss:0.005393+0.000037 test-mlogloss:1.132088+0.036747
## [457] train-mlogloss:0.005386+0.000037 test-mlogloss:1.132338+0.035643
## [458] train-mlogloss:0.005378+0.000035 test-mlogloss:1.133475+0.035643
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## [461] train-mlogloss:0.005358+0.000033 test-mlogloss:1.132830+0.036882
## [462] train-mlogloss:0.005352+0.000035 test-mlogloss:1.132620+0.037122
## [463] train-mlogloss:0.005348+0.000033 test-mlogloss:1.132314+0.037598
## [464] train-mlogloss:0.005339+0.000034 test-mlogloss:1.132864+0.037139
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## [468] train-mlogloss:0.005315+0.000034 test-mlogloss:1.134305+0.037516
## [469] train-mlogloss:0.005309+0.000034 test-mlogloss:1.135129+0.036851
## [470] train-mlogloss:0.005304+0.000036 test-mlogloss:1.135619+0.036253
## [471] train-mlogloss:0.005299+0.000035 test-mlogloss:1.135742+0.036613
## [472] train-mlogloss:0.005295+0.000036 test-mlogloss:1.135543+0.036998
## [473] train-mlogloss:0.005288+0.000035 test-mlogloss:1.136614+0.036046
## [474] train-mlogloss:0.005284+0.000034 test-mlogloss:1.135492+0.036962
## [475] train-mlogloss:0.005278+0.000032 test-mlogloss:1.136225+0.037353
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## [477] train-mlogloss:0.005263+0.000032 test-mlogloss:1.135867+0.036327
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## [479] train-mlogloss:0.005250+0.000035 test-mlogloss:1.136390+0.036942
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## [484] train-mlogloss:0.005218+0.000037 test-mlogloss:1.137122+0.036678
## [485] train-mlogloss:0.005212+0.000033 test-mlogloss:1.136819+0.036575
## [486] train-mlogloss:0.005204+0.000034 test-mlogloss:1.138305+0.037496
## [487] train-mlogloss:0.005200+0.000036 test-mlogloss:1.138678+0.038115
## [488] train-mlogloss:0.005195+0.000035 test-mlogloss:1.139199+0.038183
## [489] train-mlogloss:0.005186+0.000035 test-mlogloss:1.138632+0.037442
## [490] train-mlogloss:0.005181+0.000036 test-mlogloss:1.138889+0.037082
## [491] train-mlogloss:0.005174+0.000035 test-mlogloss:1.139663+0.037407
## [492] train-mlogloss:0.005170+0.000036 test-mlogloss:1.139908+0.037724
## [493] train-mlogloss:0.005164+0.000038 test-mlogloss:1.139913+0.036679
## [494] train-mlogloss:0.005160+0.000038 test-mlogloss:1.139833+0.037856
## [495] train-mlogloss:0.005153+0.000036 test-mlogloss:1.139642+0.037528
## [496] train-mlogloss:0.005147+0.000035 test-mlogloss:1.139343+0.037809
## [497] train-mlogloss:0.005142+0.000036 test-mlogloss:1.139759+0.037705
## [498] train-mlogloss:0.005135+0.000034 test-mlogloss:1.139837+0.038257
## [499] train-mlogloss:0.005131+0.000037 test-mlogloss:1.140416+0.038290
## [500] train-mlogloss:0.005126+0.000037 test-mlogloss:1.140066+0.038400
## [1] train-mlogloss:0.525928+0.002275 test-mlogloss:0.546329+0.006004
## [2] train-mlogloss:0.506280+0.002228 test-mlogloss:0.543220+0.007224
## [3] train-mlogloss:0.496457+0.003014 test-mlogloss:0.545350+0.008071
## [4] train-mlogloss:0.488887+0.003913 test-mlogloss:0.553129+0.011371
## [5] train-mlogloss:0.479982+0.004314 test-mlogloss:0.558611+0.011448
## [6] train-mlogloss:0.470151+0.004728 test-mlogloss:0.564763+0.011263
## [7] train-mlogloss:0.462224+0.004390 test-mlogloss:0.571038+0.009433
## [8] train-mlogloss:0.456290+0.004807 test-mlogloss:0.577180+0.008104
## [9] train-mlogloss:0.447961+0.005509 test-mlogloss:0.583126+0.007400
## [10] train-mlogloss:0.440543+0.004148 test-mlogloss:0.587706+0.010375
## [11] train-mlogloss:0.432588+0.003452 test-mlogloss:0.591502+0.011790
## [12] train-mlogloss:0.425971+0.002618 test-mlogloss:0.596954+0.013701
## [13] train-mlogloss:0.419597+0.003077 test-mlogloss:0.600029+0.014504
## [14] train-mlogloss:0.412367+0.003471 test-mlogloss:0.605087+0.013073
## [15] train-mlogloss:0.406335+0.004758 test-mlogloss:0.609349+0.010821
## [16] train-mlogloss:0.399122+0.004295 test-mlogloss:0.612177+0.009253
## [17] train-mlogloss:0.393690+0.004446 test-mlogloss:0.616890+0.008549
## [18] train-mlogloss:0.389079+0.004790 test-mlogloss:0.623563+0.008218
## [19] train-mlogloss:0.383811+0.004761 test-mlogloss:0.623251+0.008082
## [20] train-mlogloss:0.376932+0.004559 test-mlogloss:0.629469+0.007837
## [21] train-mlogloss:0.370968+0.004644 test-mlogloss:0.632723+0.006495
## [22] train-mlogloss:0.364239+0.004180 test-mlogloss:0.636468+0.004809
## [23] train-mlogloss:0.357903+0.003964 test-mlogloss:0.642229+0.005236
## [24] train-mlogloss:0.353562+0.003683 test-mlogloss:0.648263+0.006692
## [25] train-mlogloss:0.348074+0.004153 test-mlogloss:0.652946+0.008301
## [26] train-mlogloss:0.342922+0.005241 test-mlogloss:0.656537+0.008453
## [27] train-mlogloss:0.338095+0.005166 test-mlogloss:0.662027+0.007248
## [28] train-mlogloss:0.333040+0.005255 test-mlogloss:0.667155+0.006052
## [29] train-mlogloss:0.328289+0.003997 test-mlogloss:0.670869+0.009435
## [30] train-mlogloss:0.322122+0.003844 test-mlogloss:0.677234+0.008883
## [31] train-mlogloss:0.317461+0.003698 test-mlogloss:0.680336+0.008984
## [32] train-mlogloss:0.312404+0.003834 test-mlogloss:0.682668+0.012171
## [33] train-mlogloss:0.307212+0.004598 test-mlogloss:0.685285+0.014630
## [34] train-mlogloss:0.301290+0.004940 test-mlogloss:0.691407+0.014402
## [35] train-mlogloss:0.296899+0.005472 test-mlogloss:0.693162+0.013520
## [36] train-mlogloss:0.292090+0.006039 test-mlogloss:0.698477+0.011126
## [37] train-mlogloss:0.287964+0.006564 test-mlogloss:0.700150+0.010607
## [38] train-mlogloss:0.284134+0.007735 test-mlogloss:0.702916+0.013133
## [39] train-mlogloss:0.279917+0.006824 test-mlogloss:0.706216+0.011410
## [40] train-mlogloss:0.276253+0.007425 test-mlogloss:0.706111+0.012121
## [41] train-mlogloss:0.272146+0.007434 test-mlogloss:0.707956+0.014353
## [42] train-mlogloss:0.267786+0.007300 test-mlogloss:0.711179+0.012259
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## [44] train-mlogloss:0.259462+0.006487 test-mlogloss:0.720466+0.010801
## [45] train-mlogloss:0.255361+0.006912 test-mlogloss:0.723348+0.009741
## [46] train-mlogloss:0.251178+0.007194 test-mlogloss:0.727031+0.011324
## [47] train-mlogloss:0.247218+0.007232 test-mlogloss:0.730815+0.010128
## [48] train-mlogloss:0.242696+0.007099 test-mlogloss:0.735594+0.011207
## [49] train-mlogloss:0.238736+0.007165 test-mlogloss:0.740589+0.010556
## [50] train-mlogloss:0.234822+0.006548 test-mlogloss:0.744842+0.011151
## [51] train-mlogloss:0.230874+0.006053 test-mlogloss:0.747528+0.008757
## [52] train-mlogloss:0.226793+0.005984 test-mlogloss:0.749677+0.010831
## [53] train-mlogloss:0.222684+0.004998 test-mlogloss:0.753349+0.011349
## [54] train-mlogloss:0.219528+0.005394 test-mlogloss:0.756464+0.013007
## [55] train-mlogloss:0.215494+0.004453 test-mlogloss:0.761759+0.014428
## [56] train-mlogloss:0.211789+0.004625 test-mlogloss:0.765356+0.013020
## [57] train-mlogloss:0.208145+0.003998 test-mlogloss:0.770740+0.015114
## [58] train-mlogloss:0.205135+0.004199 test-mlogloss:0.772594+0.014966
## [59] train-mlogloss:0.201322+0.004354 test-mlogloss:0.776890+0.016805
## [60] train-mlogloss:0.198021+0.003794 test-mlogloss:0.781136+0.019578
## [61] train-mlogloss:0.195653+0.003954 test-mlogloss:0.781655+0.021107
## [62] train-mlogloss:0.192874+0.003854 test-mlogloss:0.784660+0.021503
## [63] train-mlogloss:0.190121+0.004456 test-mlogloss:0.787806+0.022250
## [64] train-mlogloss:0.187011+0.004188 test-mlogloss:0.790791+0.024764
## [65] train-mlogloss:0.183982+0.003944 test-mlogloss:0.793200+0.021518
## [66] train-mlogloss:0.181325+0.004331 test-mlogloss:0.793888+0.022003
## [67] train-mlogloss:0.178096+0.004044 test-mlogloss:0.798645+0.021642
## [68] train-mlogloss:0.175417+0.003921 test-mlogloss:0.800477+0.022624
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## [70] train-mlogloss:0.170827+0.003825 test-mlogloss:0.805502+0.021314
## [71] train-mlogloss:0.168529+0.004301 test-mlogloss:0.809072+0.021547
## [72] train-mlogloss:0.166009+0.003968 test-mlogloss:0.810969+0.023467
## [73] train-mlogloss:0.163859+0.003904 test-mlogloss:0.813931+0.023983
## [74] train-mlogloss:0.161666+0.004169 test-mlogloss:0.816004+0.023028
## [75] train-mlogloss:0.158709+0.004099 test-mlogloss:0.819901+0.022365
## [76] train-mlogloss:0.156408+0.004252 test-mlogloss:0.820764+0.021118
## [77] train-mlogloss:0.154320+0.004323 test-mlogloss:0.825241+0.020830
## [78] train-mlogloss:0.152173+0.004219 test-mlogloss:0.828305+0.023494
## [79] train-mlogloss:0.150020+0.004036 test-mlogloss:0.829222+0.022925
## [80] train-mlogloss:0.147732+0.004161 test-mlogloss:0.831018+0.025815
## [81] train-mlogloss:0.145289+0.003895 test-mlogloss:0.831861+0.026473
## [82] train-mlogloss:0.142828+0.003597 test-mlogloss:0.835337+0.028479
## [83] train-mlogloss:0.141052+0.003650 test-mlogloss:0.837413+0.027064
## [84] train-mlogloss:0.139336+0.003623 test-mlogloss:0.838082+0.026536
## [85] train-mlogloss:0.137164+0.003743 test-mlogloss:0.840723+0.026933
## [86] train-mlogloss:0.135366+0.003513 test-mlogloss:0.843048+0.024919
## [87] train-mlogloss:0.133292+0.003279 test-mlogloss:0.844089+0.027640
## [88] train-mlogloss:0.131365+0.003022 test-mlogloss:0.844633+0.029029
## [89] train-mlogloss:0.129329+0.002712 test-mlogloss:0.847371+0.030569
## [90] train-mlogloss:0.127557+0.002883 test-mlogloss:0.849204+0.030641
## [91] train-mlogloss:0.125642+0.002948 test-mlogloss:0.849886+0.028494
## [92] train-mlogloss:0.124248+0.003090 test-mlogloss:0.852039+0.029163
## [93] train-mlogloss:0.122497+0.003043 test-mlogloss:0.855616+0.027622
## [94] train-mlogloss:0.120892+0.002928 test-mlogloss:0.857515+0.026871
## [95] train-mlogloss:0.119417+0.002692 test-mlogloss:0.859255+0.027927
## [96] train-mlogloss:0.117668+0.002536 test-mlogloss:0.862072+0.029623
## [97] train-mlogloss:0.115973+0.002298 test-mlogloss:0.863854+0.028837
## [98] train-mlogloss:0.114965+0.002118 test-mlogloss:0.865030+0.029675
## [99] train-mlogloss:0.113620+0.002212 test-mlogloss:0.866915+0.032011
## [100] train-mlogloss:0.111911+0.002363 test-mlogloss:0.869779+0.032436
## [101] train-mlogloss:0.110224+0.002372 test-mlogloss:0.872313+0.034150
## [102] train-mlogloss:0.108638+0.002632 test-mlogloss:0.875510+0.035117
## [103] train-mlogloss:0.107324+0.002296 test-mlogloss:0.876591+0.035060
## [104] train-mlogloss:0.105837+0.002470 test-mlogloss:0.879840+0.035374
## [105] train-mlogloss:0.104587+0.002468 test-mlogloss:0.880923+0.034887
## [106] train-mlogloss:0.103213+0.002449 test-mlogloss:0.883104+0.035113
## [107] train-mlogloss:0.101744+0.002385 test-mlogloss:0.886859+0.034515
## [108] train-mlogloss:0.100210+0.002376 test-mlogloss:0.889589+0.034416
## [109] train-mlogloss:0.098546+0.002458 test-mlogloss:0.891146+0.034369
## [110] train-mlogloss:0.097191+0.002578 test-mlogloss:0.892348+0.034244
## [111] train-mlogloss:0.095761+0.002619 test-mlogloss:0.894987+0.032886
## [112] train-mlogloss:0.094548+0.002750 test-mlogloss:0.896955+0.033806
## [113] train-mlogloss:0.093189+0.002769 test-mlogloss:0.900247+0.033027
## [114] train-mlogloss:0.092145+0.002708 test-mlogloss:0.901650+0.032823
## [115] train-mlogloss:0.090737+0.002624 test-mlogloss:0.904746+0.033523
## [116] train-mlogloss:0.089810+0.002669 test-mlogloss:0.904857+0.033194
## [117] train-mlogloss:0.088576+0.002457 test-mlogloss:0.908456+0.032281
## [118] train-mlogloss:0.087386+0.002468 test-mlogloss:0.909348+0.032857
## [119] train-mlogloss:0.086343+0.002330 test-mlogloss:0.911092+0.033473
## [120] train-mlogloss:0.085215+0.002650 test-mlogloss:0.913451+0.032761
## [121] train-mlogloss:0.084276+0.002558 test-mlogloss:0.913599+0.032936
## [122] train-mlogloss:0.083342+0.002633 test-mlogloss:0.914666+0.034032
## [123] train-mlogloss:0.082302+0.002660 test-mlogloss:0.915937+0.035485
## [124] train-mlogloss:0.081245+0.002681 test-mlogloss:0.917146+0.034849
## [125] train-mlogloss:0.080102+0.002558 test-mlogloss:0.920793+0.034697
## [126] train-mlogloss:0.079139+0.002492 test-mlogloss:0.920965+0.034090
## [127] train-mlogloss:0.078217+0.002561 test-mlogloss:0.923155+0.036199
## [128] train-mlogloss:0.077234+0.002681 test-mlogloss:0.924357+0.035933
## [129] train-mlogloss:0.076296+0.002719 test-mlogloss:0.926879+0.037034
## [130] train-mlogloss:0.075253+0.002661 test-mlogloss:0.928213+0.037476
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## [133] train-mlogloss:0.072549+0.002127 test-mlogloss:0.932419+0.034936
## [134] train-mlogloss:0.071670+0.002064 test-mlogloss:0.933581+0.036999
## [135] train-mlogloss:0.070871+0.001847 test-mlogloss:0.934483+0.035083
## [136] train-mlogloss:0.070138+0.001905 test-mlogloss:0.935638+0.034429
## [137] train-mlogloss:0.069238+0.001950 test-mlogloss:0.938289+0.034044
## [138] train-mlogloss:0.068300+0.001934 test-mlogloss:0.940731+0.034460
## [139] train-mlogloss:0.067501+0.001938 test-mlogloss:0.942364+0.034999
## [140] train-mlogloss:0.066604+0.001708 test-mlogloss:0.942873+0.033403
## [141] train-mlogloss:0.065884+0.001676 test-mlogloss:0.945839+0.030124
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## [143] train-mlogloss:0.064510+0.001581 test-mlogloss:0.947814+0.030863
## [144] train-mlogloss:0.063540+0.001578 test-mlogloss:0.948316+0.031790
## [145] train-mlogloss:0.062709+0.001695 test-mlogloss:0.950206+0.032010
## [146] train-mlogloss:0.062062+0.001709 test-mlogloss:0.952590+0.032002
## [147] train-mlogloss:0.061336+0.001810 test-mlogloss:0.953130+0.032228
## [148] train-mlogloss:0.060538+0.001793 test-mlogloss:0.957354+0.031609
## [149] train-mlogloss:0.059766+0.001779 test-mlogloss:0.959829+0.031136
## [150] train-mlogloss:0.059103+0.001803 test-mlogloss:0.960331+0.032250
## [151] train-mlogloss:0.058521+0.001831 test-mlogloss:0.961892+0.034298
## [152] train-mlogloss:0.057862+0.001793 test-mlogloss:0.963463+0.035785
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## [159] train-mlogloss:0.053592+0.001783 test-mlogloss:0.970563+0.036877
## [160] train-mlogloss:0.052974+0.001775 test-mlogloss:0.972602+0.036670
## [161] train-mlogloss:0.052428+0.001739 test-mlogloss:0.974792+0.036474
## [162] train-mlogloss:0.051747+0.001661 test-mlogloss:0.976932+0.035964
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## [166] train-mlogloss:0.049468+0.001668 test-mlogloss:0.979493+0.037845
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## [170] train-mlogloss:0.047557+0.001700 test-mlogloss:0.984117+0.033868
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## [199] train-mlogloss:0.035830+0.001248 test-mlogloss:1.025414+0.041919
## [200] train-mlogloss:0.035484+0.001209 test-mlogloss:1.026599+0.041542
## [201] train-mlogloss:0.035168+0.001166 test-mlogloss:1.028208+0.040691
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## [203] train-mlogloss:0.034550+0.001161 test-mlogloss:1.032308+0.040670
## [204] train-mlogloss:0.034256+0.001220 test-mlogloss:1.033019+0.041447
## [205] train-mlogloss:0.033959+0.001216 test-mlogloss:1.033159+0.040605
## [206] train-mlogloss:0.033591+0.001292 test-mlogloss:1.034669+0.040801
## [207] train-mlogloss:0.033328+0.001224 test-mlogloss:1.036750+0.039457
## [208] train-mlogloss:0.033057+0.001244 test-mlogloss:1.037847+0.040432
## [209] train-mlogloss:0.032790+0.001277 test-mlogloss:1.039190+0.041374
## [210] train-mlogloss:0.032522+0.001289 test-mlogloss:1.040238+0.042278
## [211] train-mlogloss:0.032297+0.001305 test-mlogloss:1.040566+0.041736
## [212] train-mlogloss:0.032027+0.001332 test-mlogloss:1.042537+0.041236
## [213] train-mlogloss:0.031762+0.001329 test-mlogloss:1.042902+0.041496
## [214] train-mlogloss:0.031528+0.001294 test-mlogloss:1.042800+0.041267
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## [221] train-mlogloss:0.029803+0.001183 test-mlogloss:1.050449+0.044218
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## [228] train-mlogloss:0.028158+0.001098 test-mlogloss:1.058209+0.046257
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## [231] train-mlogloss:0.027584+0.001073 test-mlogloss:1.060344+0.047137
## [232] train-mlogloss:0.027370+0.001093 test-mlogloss:1.062238+0.047050
## [233] train-mlogloss:0.027160+0.001060 test-mlogloss:1.065279+0.046973
## [234] train-mlogloss:0.026984+0.001071 test-mlogloss:1.065855+0.046804
## [235] train-mlogloss:0.026752+0.001053 test-mlogloss:1.066618+0.044985
## [236] train-mlogloss:0.026566+0.001055 test-mlogloss:1.067640+0.044885
## [237] train-mlogloss:0.026339+0.001047 test-mlogloss:1.068197+0.045759
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## [239] train-mlogloss:0.026004+0.001056 test-mlogloss:1.071426+0.047520
## [240] train-mlogloss:0.025858+0.001052 test-mlogloss:1.073496+0.045765
## [241] train-mlogloss:0.025664+0.001078 test-mlogloss:1.072800+0.046119
## [242] train-mlogloss:0.025494+0.001084 test-mlogloss:1.073239+0.044357
## [243] train-mlogloss:0.025328+0.001036 test-mlogloss:1.073640+0.043800
## [244] train-mlogloss:0.025145+0.000993 test-mlogloss:1.075950+0.044918
## [245] train-mlogloss:0.024955+0.000946 test-mlogloss:1.078193+0.044232
## [246] train-mlogloss:0.024763+0.000935 test-mlogloss:1.078450+0.044740
## [247] train-mlogloss:0.024634+0.000921 test-mlogloss:1.079619+0.044463
## [248] train-mlogloss:0.024424+0.000909 test-mlogloss:1.081276+0.045826
## [249] train-mlogloss:0.024292+0.000890 test-mlogloss:1.082466+0.046321
## [250] train-mlogloss:0.024145+0.000897 test-mlogloss:1.082482+0.045490
## [251] train-mlogloss:0.024008+0.000897 test-mlogloss:1.083331+0.046660
## [252] train-mlogloss:0.023855+0.000848 test-mlogloss:1.083760+0.045958
## [253] train-mlogloss:0.023693+0.000898 test-mlogloss:1.083035+0.046348
## [254] train-mlogloss:0.023570+0.000877 test-mlogloss:1.083604+0.043943
## [255] train-mlogloss:0.023447+0.000870 test-mlogloss:1.082774+0.043902
## [256] train-mlogloss:0.023300+0.000893 test-mlogloss:1.084256+0.045197
## [257] train-mlogloss:0.023131+0.000869 test-mlogloss:1.085122+0.045897
## [258] train-mlogloss:0.022986+0.000823 test-mlogloss:1.086585+0.045495
## [259] train-mlogloss:0.022793+0.000820 test-mlogloss:1.089008+0.045071
## [260] train-mlogloss:0.022637+0.000825 test-mlogloss:1.088664+0.043929
## [261] train-mlogloss:0.022483+0.000866 test-mlogloss:1.090259+0.045111
## [262] train-mlogloss:0.022377+0.000858 test-mlogloss:1.090476+0.044277
## [263] train-mlogloss:0.022230+0.000818 test-mlogloss:1.091146+0.044265
## [264] train-mlogloss:0.022134+0.000805 test-mlogloss:1.092893+0.043610
## [265] train-mlogloss:0.021975+0.000745 test-mlogloss:1.093293+0.044278
## [266] train-mlogloss:0.021844+0.000716 test-mlogloss:1.094392+0.043275
## [267] train-mlogloss:0.021732+0.000701 test-mlogloss:1.095161+0.044795
## [268] train-mlogloss:0.021628+0.000711 test-mlogloss:1.096150+0.046130
## [269] train-mlogloss:0.021483+0.000700 test-mlogloss:1.097202+0.046140
## [270] train-mlogloss:0.021335+0.000720 test-mlogloss:1.097612+0.046770
## [271] train-mlogloss:0.021210+0.000714 test-mlogloss:1.098507+0.045624
## [272] train-mlogloss:0.021068+0.000653 test-mlogloss:1.097357+0.045765
## [273] train-mlogloss:0.020949+0.000599 test-mlogloss:1.098063+0.047328
## [274] train-mlogloss:0.020824+0.000591 test-mlogloss:1.098599+0.047694
## [275] train-mlogloss:0.020693+0.000602 test-mlogloss:1.099592+0.046857
## [276] train-mlogloss:0.020577+0.000625 test-mlogloss:1.100152+0.047192
## [277] train-mlogloss:0.020469+0.000621 test-mlogloss:1.100051+0.046896
## [278] train-mlogloss:0.020331+0.000590 test-mlogloss:1.099193+0.047411
## [279] train-mlogloss:0.020227+0.000601 test-mlogloss:1.100145+0.047464
## [280] train-mlogloss:0.020126+0.000596 test-mlogloss:1.100102+0.048559
## [281] train-mlogloss:0.019994+0.000608 test-mlogloss:1.101948+0.049388
## [282] train-mlogloss:0.019852+0.000574 test-mlogloss:1.103202+0.051164
## [283] train-mlogloss:0.019731+0.000586 test-mlogloss:1.103848+0.051609
## [284] train-mlogloss:0.019639+0.000579 test-mlogloss:1.104145+0.051412
## [285] train-mlogloss:0.019552+0.000576 test-mlogloss:1.104949+0.051318
## [286] train-mlogloss:0.019436+0.000533 test-mlogloss:1.105169+0.050304
## [287] train-mlogloss:0.019343+0.000535 test-mlogloss:1.105648+0.050013
## [288] train-mlogloss:0.019233+0.000518 test-mlogloss:1.105752+0.051105
## [289] train-mlogloss:0.019102+0.000506 test-mlogloss:1.106617+0.053137
## [290] train-mlogloss:0.019028+0.000492 test-mlogloss:1.107866+0.051824
## [291] train-mlogloss:0.018933+0.000500 test-mlogloss:1.110032+0.052939
## [292] train-mlogloss:0.018818+0.000493 test-mlogloss:1.110723+0.052874
## [293] train-mlogloss:0.018712+0.000504 test-mlogloss:1.112443+0.052320
## [294] train-mlogloss:0.018610+0.000460 test-mlogloss:1.113869+0.053900
## [295] train-mlogloss:0.018522+0.000439 test-mlogloss:1.114374+0.052538
## [296] train-mlogloss:0.018441+0.000444 test-mlogloss:1.114641+0.051566
## [297] train-mlogloss:0.018351+0.000462 test-mlogloss:1.114712+0.051222
## [298] train-mlogloss:0.018207+0.000467 test-mlogloss:1.116091+0.051253
## [299] train-mlogloss:0.018112+0.000452 test-mlogloss:1.116789+0.050914
## [300] train-mlogloss:0.018005+0.000455 test-mlogloss:1.117153+0.051595
## [301] train-mlogloss:0.017899+0.000453 test-mlogloss:1.117011+0.052038
## [302] train-mlogloss:0.017814+0.000450 test-mlogloss:1.117707+0.051797
## [303] train-mlogloss:0.017704+0.000438 test-mlogloss:1.118073+0.052272
## [304] train-mlogloss:0.017598+0.000434 test-mlogloss:1.118411+0.051973
## [305] train-mlogloss:0.017500+0.000453 test-mlogloss:1.119115+0.052611
## [306] train-mlogloss:0.017391+0.000433 test-mlogloss:1.120294+0.052141
## [307] train-mlogloss:0.017289+0.000417 test-mlogloss:1.121420+0.052772
## [308] train-mlogloss:0.017199+0.000428 test-mlogloss:1.122845+0.051956
## [309] train-mlogloss:0.017123+0.000421 test-mlogloss:1.126452+0.052581
## [310] train-mlogloss:0.017052+0.000428 test-mlogloss:1.127424+0.051609
## [311] train-mlogloss:0.016978+0.000433 test-mlogloss:1.126825+0.052465
## [312] train-mlogloss:0.016867+0.000412 test-mlogloss:1.128176+0.053638
## [313] train-mlogloss:0.016773+0.000418 test-mlogloss:1.128499+0.052357
## [314] train-mlogloss:0.016701+0.000403 test-mlogloss:1.130317+0.052610
## [315] train-mlogloss:0.016600+0.000404 test-mlogloss:1.130094+0.052714
## [316] train-mlogloss:0.016502+0.000408 test-mlogloss:1.130504+0.052949
## [317] train-mlogloss:0.016390+0.000415 test-mlogloss:1.130465+0.052531
## [318] train-mlogloss:0.016312+0.000395 test-mlogloss:1.130763+0.052185
## [319] train-mlogloss:0.016245+0.000402 test-mlogloss:1.130728+0.052198
## [320] train-mlogloss:0.016177+0.000382 test-mlogloss:1.131507+0.052915
## [321] train-mlogloss:0.016114+0.000373 test-mlogloss:1.132401+0.053161
## [322] train-mlogloss:0.016005+0.000375 test-mlogloss:1.134585+0.054264
## [323] train-mlogloss:0.015949+0.000387 test-mlogloss:1.133757+0.053135
## [324] train-mlogloss:0.015876+0.000388 test-mlogloss:1.134233+0.053845
## [325] train-mlogloss:0.015815+0.000387 test-mlogloss:1.134784+0.053667
## [326] train-mlogloss:0.015746+0.000393 test-mlogloss:1.134896+0.052745
## [327] train-mlogloss:0.015690+0.000405 test-mlogloss:1.135889+0.053592
## [328] train-mlogloss:0.015603+0.000403 test-mlogloss:1.137749+0.054099
## [329] train-mlogloss:0.015538+0.000403 test-mlogloss:1.139008+0.053258
## [330] train-mlogloss:0.015465+0.000408 test-mlogloss:1.140608+0.053059
## [331] train-mlogloss:0.015399+0.000402 test-mlogloss:1.139561+0.054179
## [332] train-mlogloss:0.015346+0.000400 test-mlogloss:1.141387+0.054615
## [333] train-mlogloss:0.015272+0.000391 test-mlogloss:1.142302+0.055122
## [334] train-mlogloss:0.015213+0.000392 test-mlogloss:1.141866+0.055109
## [335] train-mlogloss:0.015148+0.000389 test-mlogloss:1.142762+0.054413
## [336] train-mlogloss:0.015087+0.000393 test-mlogloss:1.144955+0.054088
## [337] train-mlogloss:0.015022+0.000407 test-mlogloss:1.144690+0.055023
## [338] train-mlogloss:0.014948+0.000399 test-mlogloss:1.145462+0.054140
## [339] train-mlogloss:0.014873+0.000401 test-mlogloss:1.146046+0.053790
## [340] train-mlogloss:0.014800+0.000397 test-mlogloss:1.145408+0.055005
## [341] train-mlogloss:0.014727+0.000405 test-mlogloss:1.145680+0.054266
## [342] train-mlogloss:0.014659+0.000418 test-mlogloss:1.144903+0.055078
## [343] train-mlogloss:0.014606+0.000430 test-mlogloss:1.146752+0.055498
## [344] train-mlogloss:0.014536+0.000410 test-mlogloss:1.146358+0.055548
## [345] train-mlogloss:0.014492+0.000408 test-mlogloss:1.148246+0.056315
## [346] train-mlogloss:0.014427+0.000404 test-mlogloss:1.147412+0.055638
## [347] train-mlogloss:0.014365+0.000400 test-mlogloss:1.147636+0.055467
## [348] train-mlogloss:0.014311+0.000400 test-mlogloss:1.148608+0.053612
## [349] train-mlogloss:0.014239+0.000392 test-mlogloss:1.149386+0.054037
## [350] train-mlogloss:0.014169+0.000383 test-mlogloss:1.150469+0.053853
## [351] train-mlogloss:0.014097+0.000382 test-mlogloss:1.152353+0.052219
## [352] train-mlogloss:0.014039+0.000360 test-mlogloss:1.152212+0.052765
## [353] train-mlogloss:0.013996+0.000354 test-mlogloss:1.153219+0.052523
## [354] train-mlogloss:0.013923+0.000329 test-mlogloss:1.152352+0.053081
## [355] train-mlogloss:0.013865+0.000323 test-mlogloss:1.154381+0.053601
## [356] train-mlogloss:0.013801+0.000325 test-mlogloss:1.156411+0.053057
## [357] train-mlogloss:0.013734+0.000303 test-mlogloss:1.157726+0.052624
## [358] train-mlogloss:0.013674+0.000289 test-mlogloss:1.157350+0.050955
## [359] train-mlogloss:0.013610+0.000292 test-mlogloss:1.159183+0.052493
## [360] train-mlogloss:0.013558+0.000301 test-mlogloss:1.159615+0.052611
## [361] train-mlogloss:0.013476+0.000282 test-mlogloss:1.159935+0.052683
## [362] train-mlogloss:0.013418+0.000278 test-mlogloss:1.160713+0.051526
## [363] train-mlogloss:0.013367+0.000262 test-mlogloss:1.163821+0.051951
## [364] train-mlogloss:0.013298+0.000272 test-mlogloss:1.162597+0.052205
## [365] train-mlogloss:0.013237+0.000271 test-mlogloss:1.163221+0.052812
## [366] train-mlogloss:0.013171+0.000269 test-mlogloss:1.163579+0.053999
## [367] train-mlogloss:0.013120+0.000272 test-mlogloss:1.163367+0.053784
## [368] train-mlogloss:0.013063+0.000258 test-mlogloss:1.162708+0.053871
## [369] train-mlogloss:0.013005+0.000251 test-mlogloss:1.164646+0.053436
## [370] train-mlogloss:0.012957+0.000246 test-mlogloss:1.165353+0.055005
## [371] train-mlogloss:0.012916+0.000244 test-mlogloss:1.165276+0.053237
## [372] train-mlogloss:0.012863+0.000238 test-mlogloss:1.165344+0.052971
## [373] train-mlogloss:0.012824+0.000239 test-mlogloss:1.165441+0.054431
## [374] train-mlogloss:0.012783+0.000238 test-mlogloss:1.164852+0.053633
## [375] train-mlogloss:0.012739+0.000229 test-mlogloss:1.167432+0.052732
## [376] train-mlogloss:0.012695+0.000214 test-mlogloss:1.168162+0.052432
## [377] train-mlogloss:0.012649+0.000219 test-mlogloss:1.168984+0.052558
## [378] train-mlogloss:0.012596+0.000223 test-mlogloss:1.169971+0.053124
## [379] train-mlogloss:0.012540+0.000209 test-mlogloss:1.170686+0.054289
## [380] train-mlogloss:0.012487+0.000210 test-mlogloss:1.171132+0.054438
## [381] train-mlogloss:0.012452+0.000202 test-mlogloss:1.172379+0.054186
## [382] train-mlogloss:0.012407+0.000192 test-mlogloss:1.173116+0.053878
## [383] train-mlogloss:0.012363+0.000201 test-mlogloss:1.173950+0.054802
## [384] train-mlogloss:0.012308+0.000193 test-mlogloss:1.174820+0.055434
## [385] train-mlogloss:0.012262+0.000204 test-mlogloss:1.173660+0.055672
## [386] train-mlogloss:0.012213+0.000191 test-mlogloss:1.174255+0.054508
## [387] train-mlogloss:0.012163+0.000196 test-mlogloss:1.174070+0.054126
## [388] train-mlogloss:0.012127+0.000195 test-mlogloss:1.175832+0.053918
## [389] train-mlogloss:0.012094+0.000196 test-mlogloss:1.176164+0.054078
## [390] train-mlogloss:0.012047+0.000202 test-mlogloss:1.176374+0.052831
## [391] train-mlogloss:0.012015+0.000206 test-mlogloss:1.178086+0.053345
## [392] train-mlogloss:0.011977+0.000201 test-mlogloss:1.178204+0.052859
## [393] train-mlogloss:0.011927+0.000196 test-mlogloss:1.178453+0.052691
## [394] train-mlogloss:0.011883+0.000195 test-mlogloss:1.179160+0.052485
## [395] train-mlogloss:0.011836+0.000184 test-mlogloss:1.180306+0.053016
## [396] train-mlogloss:0.011794+0.000191 test-mlogloss:1.181375+0.053233
## [397] train-mlogloss:0.011756+0.000190 test-mlogloss:1.181336+0.053058
## [398] train-mlogloss:0.011714+0.000201 test-mlogloss:1.182050+0.053417
## [399] train-mlogloss:0.011676+0.000203 test-mlogloss:1.182906+0.053784
## [400] train-mlogloss:0.011632+0.000201 test-mlogloss:1.183430+0.054601
## [401] train-mlogloss:0.011591+0.000203 test-mlogloss:1.183862+0.054453
## [402] train-mlogloss:0.011557+0.000198 test-mlogloss:1.184820+0.053859
## [403] train-mlogloss:0.011504+0.000189 test-mlogloss:1.185817+0.053744
## [404] train-mlogloss:0.011474+0.000180 test-mlogloss:1.186692+0.052461
## [405] train-mlogloss:0.011428+0.000190 test-mlogloss:1.187611+0.052928
## [406] train-mlogloss:0.011399+0.000191 test-mlogloss:1.187592+0.054013
## [407] train-mlogloss:0.011362+0.000181 test-mlogloss:1.187129+0.055132
## [408] train-mlogloss:0.011322+0.000187 test-mlogloss:1.188557+0.054799
## [409] train-mlogloss:0.011273+0.000185 test-mlogloss:1.189499+0.054716
## [410] train-mlogloss:0.011242+0.000189 test-mlogloss:1.191170+0.056227
## [411] train-mlogloss:0.011203+0.000207 test-mlogloss:1.190639+0.056654
## [412] train-mlogloss:0.011179+0.000213 test-mlogloss:1.191091+0.056574
## [413] train-mlogloss:0.011146+0.000221 test-mlogloss:1.191219+0.057239
## [414] train-mlogloss:0.011109+0.000224 test-mlogloss:1.190937+0.056177
## [415] train-mlogloss:0.011064+0.000224 test-mlogloss:1.191462+0.056065
## [416] train-mlogloss:0.011021+0.000229 test-mlogloss:1.193186+0.056747
## [417] train-mlogloss:0.010982+0.000225 test-mlogloss:1.193955+0.057170
## [418] train-mlogloss:0.010929+0.000225 test-mlogloss:1.195748+0.057824
## [419] train-mlogloss:0.010896+0.000230 test-mlogloss:1.195737+0.057272
## [420] train-mlogloss:0.010861+0.000231 test-mlogloss:1.195315+0.058277
## [421] train-mlogloss:0.010832+0.000235 test-mlogloss:1.195653+0.057699
## [422] train-mlogloss:0.010792+0.000235 test-mlogloss:1.196541+0.058279
## [423] train-mlogloss:0.010768+0.000239 test-mlogloss:1.197622+0.058628
## [424] train-mlogloss:0.010729+0.000233 test-mlogloss:1.198469+0.060204
## [425] train-mlogloss:0.010701+0.000232 test-mlogloss:1.199106+0.058834
## [426] train-mlogloss:0.010660+0.000225 test-mlogloss:1.199703+0.059735
## [427] train-mlogloss:0.010630+0.000222 test-mlogloss:1.200502+0.059895
## [428] train-mlogloss:0.010597+0.000217 test-mlogloss:1.201973+0.059942
## [429] train-mlogloss:0.010569+0.000220 test-mlogloss:1.203454+0.059804
## [430] train-mlogloss:0.010540+0.000216 test-mlogloss:1.203788+0.059579
## [431] train-mlogloss:0.010519+0.000219 test-mlogloss:1.203094+0.058717
## [432] train-mlogloss:0.010481+0.000215 test-mlogloss:1.203811+0.059132
## [433] train-mlogloss:0.010455+0.000200 test-mlogloss:1.204889+0.058823
## [434] train-mlogloss:0.010421+0.000190 test-mlogloss:1.204481+0.058310
## [435] train-mlogloss:0.010375+0.000185 test-mlogloss:1.204126+0.059002
## [436] train-mlogloss:0.010339+0.000187 test-mlogloss:1.204380+0.058181
## [437] train-mlogloss:0.010307+0.000183 test-mlogloss:1.205030+0.057841
## [438] train-mlogloss:0.010278+0.000173 test-mlogloss:1.206368+0.058809
## [439] train-mlogloss:0.010241+0.000172 test-mlogloss:1.205459+0.058939
## [440] train-mlogloss:0.010208+0.000169 test-mlogloss:1.206616+0.057650
## [441] train-mlogloss:0.010166+0.000172 test-mlogloss:1.206275+0.057166
## [442] train-mlogloss:0.010134+0.000166 test-mlogloss:1.206313+0.057765
## [443] train-mlogloss:0.010099+0.000164 test-mlogloss:1.207892+0.058269
## [444] train-mlogloss:0.010066+0.000166 test-mlogloss:1.207247+0.059277
## [445] train-mlogloss:0.010031+0.000159 test-mlogloss:1.207490+0.059602
## [446] train-mlogloss:0.010003+0.000161 test-mlogloss:1.208054+0.060242
## [447] train-mlogloss:0.009972+0.000159 test-mlogloss:1.208367+0.059336
## [448] train-mlogloss:0.009945+0.000160 test-mlogloss:1.208842+0.058931
## [449] train-mlogloss:0.009914+0.000155 test-mlogloss:1.209595+0.060028
## [450] train-mlogloss:0.009877+0.000155 test-mlogloss:1.209558+0.060633
## [451] train-mlogloss:0.009857+0.000153 test-mlogloss:1.209571+0.060278
## [452] train-mlogloss:0.009832+0.000154 test-mlogloss:1.210184+0.060813
## [453] train-mlogloss:0.009804+0.000150 test-mlogloss:1.211024+0.061145
## [454] train-mlogloss:0.009774+0.000145 test-mlogloss:1.211884+0.060091
## [455] train-mlogloss:0.009738+0.000142 test-mlogloss:1.213238+0.060583
## [456] train-mlogloss:0.009711+0.000143 test-mlogloss:1.213346+0.061024
## [457] train-mlogloss:0.009683+0.000139 test-mlogloss:1.214729+0.059684
## [458] train-mlogloss:0.009660+0.000134 test-mlogloss:1.214383+0.058949
## [459] train-mlogloss:0.009632+0.000139 test-mlogloss:1.214554+0.059065
## [460] train-mlogloss:0.009602+0.000140 test-mlogloss:1.215686+0.059660
## [461] train-mlogloss:0.009577+0.000133 test-mlogloss:1.214392+0.059969
## [462] train-mlogloss:0.009552+0.000135 test-mlogloss:1.215422+0.059110
## [463] train-mlogloss:0.009522+0.000135 test-mlogloss:1.216023+0.060040
## [464] train-mlogloss:0.009492+0.000135 test-mlogloss:1.215503+0.058816
## [465] train-mlogloss:0.009466+0.000127 test-mlogloss:1.215804+0.059712
## [466] train-mlogloss:0.009442+0.000126 test-mlogloss:1.215346+0.059980
## [467] train-mlogloss:0.009414+0.000132 test-mlogloss:1.215073+0.059887
## [468] train-mlogloss:0.009375+0.000127 test-mlogloss:1.215675+0.060166
## [469] train-mlogloss:0.009350+0.000126 test-mlogloss:1.215522+0.059870
## [470] train-mlogloss:0.009318+0.000121 test-mlogloss:1.216169+0.058437
## [471] train-mlogloss:0.009298+0.000122 test-mlogloss:1.216184+0.059498
## [472] train-mlogloss:0.009274+0.000127 test-mlogloss:1.216590+0.058801
## [473] train-mlogloss:0.009251+0.000129 test-mlogloss:1.217272+0.058653
## [474] train-mlogloss:0.009225+0.000135 test-mlogloss:1.218335+0.059676
## [475] train-mlogloss:0.009205+0.000137 test-mlogloss:1.218531+0.058795
## [476] train-mlogloss:0.009181+0.000130 test-mlogloss:1.218840+0.059392
## [477] train-mlogloss:0.009152+0.000128 test-mlogloss:1.219115+0.061111
## [478] train-mlogloss:0.009136+0.000125 test-mlogloss:1.218144+0.059614
## [479] train-mlogloss:0.009102+0.000123 test-mlogloss:1.218888+0.060415
## [480] train-mlogloss:0.009078+0.000129 test-mlogloss:1.219065+0.060042
## [481] train-mlogloss:0.009051+0.000124 test-mlogloss:1.220398+0.060555
## [482] train-mlogloss:0.009031+0.000117 test-mlogloss:1.221208+0.061888
## [483] train-mlogloss:0.009012+0.000117 test-mlogloss:1.221528+0.062087
## [484] train-mlogloss:0.008989+0.000115 test-mlogloss:1.221548+0.062552
## [485] train-mlogloss:0.008960+0.000108 test-mlogloss:1.222428+0.062014
## [486] train-mlogloss:0.008935+0.000105 test-mlogloss:1.223190+0.059885
## [487] train-mlogloss:0.008905+0.000103 test-mlogloss:1.223592+0.060919
## [488] train-mlogloss:0.008875+0.000100 test-mlogloss:1.224183+0.060851
## [489] train-mlogloss:0.008856+0.000102 test-mlogloss:1.223782+0.060463
## [490] train-mlogloss:0.008836+0.000092 test-mlogloss:1.224011+0.061120
## [491] train-mlogloss:0.008814+0.000095 test-mlogloss:1.223630+0.060961
## [492] train-mlogloss:0.008792+0.000095 test-mlogloss:1.224308+0.059976
## [493] train-mlogloss:0.008768+0.000090 test-mlogloss:1.224878+0.061034
## [494] train-mlogloss:0.008747+0.000084 test-mlogloss:1.225357+0.059888
## [495] train-mlogloss:0.008722+0.000091 test-mlogloss:1.226266+0.060385
## [496] train-mlogloss:0.008699+0.000091 test-mlogloss:1.227170+0.060204
## [497] train-mlogloss:0.008671+0.000092 test-mlogloss:1.228287+0.061003
## [498] train-mlogloss:0.008646+0.000093 test-mlogloss:1.229139+0.061901
## [499] train-mlogloss:0.008623+0.000089 test-mlogloss:1.230158+0.062691
## [500] train-mlogloss:0.008598+0.000084 test-mlogloss:1.229436+0.062500
## [1] train-mlogloss:0.445197+0.003360 test-mlogloss:0.591509+0.012557
## [2] train-mlogloss:0.357494+0.003602 test-mlogloss:0.615533+0.015656
## [3] train-mlogloss:0.299068+0.003245 test-mlogloss:0.650251+0.017361
## [4] train-mlogloss:0.257653+0.005983 test-mlogloss:0.681701+0.020184
## [5] train-mlogloss:0.224242+0.004487 test-mlogloss:0.702317+0.020954
## [6] train-mlogloss:0.194566+0.005295 test-mlogloss:0.727616+0.025660
## [7] train-mlogloss:0.170115+0.005402 test-mlogloss:0.742195+0.028935
## [8] train-mlogloss:0.150085+0.004527 test-mlogloss:0.760965+0.027061
## [9] train-mlogloss:0.133458+0.004091 test-mlogloss:0.775517+0.027915
## [10] train-mlogloss:0.119351+0.003295 test-mlogloss:0.789013+0.034015
## [11] train-mlogloss:0.107811+0.002645 test-mlogloss:0.802887+0.033234
## [12] train-mlogloss:0.097944+0.002560 test-mlogloss:0.814792+0.029771
## [13] train-mlogloss:0.089563+0.002060 test-mlogloss:0.827465+0.032097
## [14] train-mlogloss:0.082306+0.002166 test-mlogloss:0.835546+0.030751
## [15] train-mlogloss:0.076158+0.001940 test-mlogloss:0.842395+0.030104
## [16] train-mlogloss:0.070718+0.001463 test-mlogloss:0.849212+0.030411
## [17] train-mlogloss:0.065942+0.001331 test-mlogloss:0.859021+0.032061
## [18] train-mlogloss:0.061941+0.001385 test-mlogloss:0.867804+0.035295
## [19] train-mlogloss:0.058336+0.001027 test-mlogloss:0.872932+0.037362
## [20] train-mlogloss:0.054994+0.001074 test-mlogloss:0.876848+0.038845
## [21] train-mlogloss:0.052119+0.000968 test-mlogloss:0.884921+0.041394
## [22] train-mlogloss:0.049569+0.000882 test-mlogloss:0.890822+0.039337
## [23] train-mlogloss:0.047315+0.000931 test-mlogloss:0.896708+0.040748
## [24] train-mlogloss:0.045136+0.000817 test-mlogloss:0.903473+0.039797
## [25] train-mlogloss:0.043367+0.000792 test-mlogloss:0.910008+0.039809
## [26] train-mlogloss:0.041498+0.000780 test-mlogloss:0.917374+0.039617
## [27] train-mlogloss:0.039998+0.000730 test-mlogloss:0.924198+0.040929
## [28] train-mlogloss:0.038475+0.000670 test-mlogloss:0.929754+0.039748
## [29] train-mlogloss:0.037117+0.000692 test-mlogloss:0.931106+0.038509
## [30] train-mlogloss:0.035940+0.000688 test-mlogloss:0.934389+0.040382
## [31] train-mlogloss:0.034784+0.000655 test-mlogloss:0.940128+0.039237
## [32] train-mlogloss:0.033712+0.000645 test-mlogloss:0.944905+0.039795
## [33] train-mlogloss:0.032645+0.000601 test-mlogloss:0.947281+0.041674
## [34] train-mlogloss:0.031695+0.000524 test-mlogloss:0.950559+0.040467
## [35] train-mlogloss:0.030826+0.000529 test-mlogloss:0.954869+0.040535
## [36] train-mlogloss:0.030021+0.000500 test-mlogloss:0.956706+0.042694
## [37] train-mlogloss:0.029234+0.000460 test-mlogloss:0.961392+0.043307
## [38] train-mlogloss:0.028468+0.000476 test-mlogloss:0.964268+0.042309
## [39] train-mlogloss:0.027808+0.000462 test-mlogloss:0.969024+0.041386
## [40] train-mlogloss:0.027188+0.000376 test-mlogloss:0.970730+0.042423
## [41] train-mlogloss:0.026576+0.000347 test-mlogloss:0.971567+0.042875
## [42] train-mlogloss:0.025958+0.000311 test-mlogloss:0.975022+0.042838
## [43] train-mlogloss:0.025417+0.000243 test-mlogloss:0.976330+0.043324
## [44] train-mlogloss:0.024871+0.000250 test-mlogloss:0.977810+0.043718
## [45] train-mlogloss:0.024358+0.000218 test-mlogloss:0.981037+0.044458
## [46] train-mlogloss:0.023877+0.000253 test-mlogloss:0.984508+0.044776
## [47] train-mlogloss:0.023456+0.000235 test-mlogloss:0.988274+0.042937
## [48] train-mlogloss:0.023020+0.000231 test-mlogloss:0.987916+0.041205
## [49] train-mlogloss:0.022554+0.000230 test-mlogloss:0.992506+0.041152
## [50] train-mlogloss:0.022207+0.000219 test-mlogloss:0.994849+0.039769
## [51] train-mlogloss:0.021871+0.000237 test-mlogloss:0.999966+0.041428
## [52] train-mlogloss:0.021522+0.000240 test-mlogloss:1.001648+0.042338
## [53] train-mlogloss:0.021142+0.000187 test-mlogloss:1.002737+0.041569
## [54] train-mlogloss:0.020805+0.000172 test-mlogloss:1.004367+0.041832
## [55] train-mlogloss:0.020487+0.000172 test-mlogloss:1.006833+0.042147
## [56] train-mlogloss:0.020163+0.000122 test-mlogloss:1.010716+0.042025
## [57] train-mlogloss:0.019844+0.000143 test-mlogloss:1.013291+0.040867
## [58] train-mlogloss:0.019535+0.000117 test-mlogloss:1.015407+0.039034
## [59] train-mlogloss:0.019242+0.000140 test-mlogloss:1.017185+0.040237
## [60] train-mlogloss:0.018944+0.000100 test-mlogloss:1.018948+0.041110
## [61] train-mlogloss:0.018682+0.000122 test-mlogloss:1.021235+0.040466
## [62] train-mlogloss:0.018408+0.000107 test-mlogloss:1.022878+0.039639
## [63] train-mlogloss:0.018150+0.000111 test-mlogloss:1.024671+0.037739
## [64] train-mlogloss:0.017909+0.000100 test-mlogloss:1.026766+0.037502
## [65] train-mlogloss:0.017667+0.000087 test-mlogloss:1.029944+0.037567
## [66] train-mlogloss:0.017454+0.000070 test-mlogloss:1.031447+0.038002
## [67] train-mlogloss:0.017248+0.000077 test-mlogloss:1.032280+0.037594
## [68] train-mlogloss:0.017009+0.000085 test-mlogloss:1.033718+0.038201
## [69] train-mlogloss:0.016785+0.000077 test-mlogloss:1.034398+0.037194
## [70] train-mlogloss:0.016586+0.000077 test-mlogloss:1.036209+0.037276
## [71] train-mlogloss:0.016381+0.000090 test-mlogloss:1.039873+0.038832
## [72] train-mlogloss:0.016198+0.000094 test-mlogloss:1.039442+0.037918
## [73] train-mlogloss:0.016018+0.000085 test-mlogloss:1.040281+0.036928
## [74] train-mlogloss:0.015846+0.000068 test-mlogloss:1.042323+0.039429
## [75] train-mlogloss:0.015673+0.000073 test-mlogloss:1.043518+0.041154
## [76] train-mlogloss:0.015516+0.000069 test-mlogloss:1.044174+0.042979
## [77] train-mlogloss:0.015349+0.000071 test-mlogloss:1.043614+0.042193
## [78] train-mlogloss:0.015193+0.000076 test-mlogloss:1.045863+0.040551
## [79] train-mlogloss:0.015023+0.000086 test-mlogloss:1.048976+0.041204
## [80] train-mlogloss:0.014883+0.000078 test-mlogloss:1.051001+0.041163
## [81] train-mlogloss:0.014745+0.000078 test-mlogloss:1.052247+0.042024
## [82] train-mlogloss:0.014604+0.000066 test-mlogloss:1.053805+0.041999
## [83] train-mlogloss:0.014466+0.000059 test-mlogloss:1.054001+0.040303
## [84] train-mlogloss:0.014333+0.000077 test-mlogloss:1.056837+0.041149
## [85] train-mlogloss:0.014186+0.000066 test-mlogloss:1.057547+0.042233
## [86] train-mlogloss:0.014060+0.000065 test-mlogloss:1.059485+0.043526
## [87] train-mlogloss:0.013932+0.000062 test-mlogloss:1.060006+0.043032
## [88] train-mlogloss:0.013796+0.000072 test-mlogloss:1.061577+0.044059
## [89] train-mlogloss:0.013665+0.000079 test-mlogloss:1.063900+0.043420
## [90] train-mlogloss:0.013534+0.000072 test-mlogloss:1.066139+0.043086
## [91] train-mlogloss:0.013407+0.000070 test-mlogloss:1.067148+0.042714
## [92] train-mlogloss:0.013293+0.000070 test-mlogloss:1.069590+0.044194
## [93] train-mlogloss:0.013198+0.000070 test-mlogloss:1.071748+0.044636
## [94] train-mlogloss:0.013103+0.000062 test-mlogloss:1.072273+0.046037
## [95] train-mlogloss:0.012988+0.000052 test-mlogloss:1.074086+0.044410
## [96] train-mlogloss:0.012888+0.000045 test-mlogloss:1.076637+0.044028
## [97] train-mlogloss:0.012779+0.000038 test-mlogloss:1.075198+0.043999
## [98] train-mlogloss:0.012685+0.000036 test-mlogloss:1.076669+0.044094
## [99] train-mlogloss:0.012589+0.000049 test-mlogloss:1.077650+0.043985
## [100] train-mlogloss:0.012483+0.000039 test-mlogloss:1.077340+0.044038
## [101] train-mlogloss:0.012403+0.000038 test-mlogloss:1.078858+0.043773
## [102] train-mlogloss:0.012317+0.000034 test-mlogloss:1.081083+0.043730
## [103] train-mlogloss:0.012235+0.000036 test-mlogloss:1.082902+0.044745
## [104] train-mlogloss:0.012146+0.000039 test-mlogloss:1.083370+0.044377
## [105] train-mlogloss:0.012064+0.000037 test-mlogloss:1.084451+0.045818
## [106] train-mlogloss:0.011975+0.000048 test-mlogloss:1.085854+0.047282
## [107] train-mlogloss:0.011897+0.000054 test-mlogloss:1.085707+0.046570
## [108] train-mlogloss:0.011826+0.000057 test-mlogloss:1.086769+0.045240
## [109] train-mlogloss:0.011743+0.000052 test-mlogloss:1.086517+0.043443
## [110] train-mlogloss:0.011669+0.000056 test-mlogloss:1.089615+0.044031
## [111] train-mlogloss:0.011584+0.000071 test-mlogloss:1.089673+0.043061
## [112] train-mlogloss:0.011493+0.000069 test-mlogloss:1.090541+0.042530
## [113] train-mlogloss:0.011424+0.000079 test-mlogloss:1.091522+0.042571
## [114] train-mlogloss:0.011345+0.000081 test-mlogloss:1.093876+0.043949
## [115] train-mlogloss:0.011266+0.000072 test-mlogloss:1.094560+0.044117
## [116] train-mlogloss:0.011191+0.000075 test-mlogloss:1.095655+0.044524
## [117] train-mlogloss:0.011115+0.000080 test-mlogloss:1.096166+0.044507
## [118] train-mlogloss:0.011040+0.000082 test-mlogloss:1.096978+0.044250
## [119] train-mlogloss:0.010974+0.000082 test-mlogloss:1.097242+0.045513
## [120] train-mlogloss:0.010906+0.000090 test-mlogloss:1.098666+0.045191
## [121] train-mlogloss:0.010837+0.000086 test-mlogloss:1.099417+0.046824
## [122] train-mlogloss:0.010774+0.000087 test-mlogloss:1.100438+0.047061
## [123] train-mlogloss:0.010719+0.000085 test-mlogloss:1.099786+0.047832
## [124] train-mlogloss:0.010658+0.000090 test-mlogloss:1.100860+0.047902
## [125] train-mlogloss:0.010593+0.000078 test-mlogloss:1.100964+0.047385
## [126] train-mlogloss:0.010535+0.000081 test-mlogloss:1.104303+0.046359
## [127] train-mlogloss:0.010482+0.000085 test-mlogloss:1.105601+0.047207
## [128] train-mlogloss:0.010419+0.000081 test-mlogloss:1.105436+0.046379
## [129] train-mlogloss:0.010370+0.000071 test-mlogloss:1.106493+0.047406
## [130] train-mlogloss:0.010307+0.000072 test-mlogloss:1.106362+0.046544
## [131] train-mlogloss:0.010255+0.000077 test-mlogloss:1.107375+0.047298
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## [133] train-mlogloss:0.010143+0.000078 test-mlogloss:1.109323+0.047015
## [134] train-mlogloss:0.010100+0.000081 test-mlogloss:1.109400+0.047114
## [135] train-mlogloss:0.010054+0.000082 test-mlogloss:1.110775+0.045984
## [136] train-mlogloss:0.010000+0.000080 test-mlogloss:1.111640+0.045539
## [137] train-mlogloss:0.009948+0.000084 test-mlogloss:1.111843+0.044825
## [138] train-mlogloss:0.009888+0.000076 test-mlogloss:1.112604+0.046264
## [139] train-mlogloss:0.009842+0.000079 test-mlogloss:1.113871+0.045481
## [140] train-mlogloss:0.009796+0.000077 test-mlogloss:1.114342+0.046603
## [141] train-mlogloss:0.009750+0.000088 test-mlogloss:1.115333+0.046912
## [142] train-mlogloss:0.009708+0.000085 test-mlogloss:1.117243+0.045612
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## [144] train-mlogloss:0.009628+0.000081 test-mlogloss:1.118476+0.046404
## [145] train-mlogloss:0.009580+0.000084 test-mlogloss:1.119066+0.047593
## [146] train-mlogloss:0.009529+0.000091 test-mlogloss:1.118582+0.047168
## [147] train-mlogloss:0.009484+0.000091 test-mlogloss:1.119257+0.046194
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## [149] train-mlogloss:0.009401+0.000084 test-mlogloss:1.121776+0.047797
## [150] train-mlogloss:0.009360+0.000078 test-mlogloss:1.121608+0.047651
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## [152] train-mlogloss:0.009273+0.000077 test-mlogloss:1.123029+0.045488
## [153] train-mlogloss:0.009235+0.000082 test-mlogloss:1.122597+0.045268
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## [158] train-mlogloss:0.009038+0.000086 test-mlogloss:1.125768+0.045386
## [159] train-mlogloss:0.008996+0.000079 test-mlogloss:1.127234+0.045457
## [160] train-mlogloss:0.008955+0.000079 test-mlogloss:1.127447+0.045764
## [161] train-mlogloss:0.008917+0.000083 test-mlogloss:1.127601+0.046509
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## [163] train-mlogloss:0.008843+0.000082 test-mlogloss:1.129598+0.046144
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## [167] train-mlogloss:0.008707+0.000093 test-mlogloss:1.131562+0.047565
## [168] train-mlogloss:0.008674+0.000093 test-mlogloss:1.132442+0.047801
## [169] train-mlogloss:0.008635+0.000092 test-mlogloss:1.133230+0.047706
## [170] train-mlogloss:0.008599+0.000089 test-mlogloss:1.133346+0.048034
## [171] train-mlogloss:0.008566+0.000087 test-mlogloss:1.134311+0.048769
## [172] train-mlogloss:0.008530+0.000090 test-mlogloss:1.134705+0.048338
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## [176] train-mlogloss:0.008413+0.000082 test-mlogloss:1.138778+0.048220
## [177] train-mlogloss:0.008384+0.000083 test-mlogloss:1.139222+0.048733
## [178] train-mlogloss:0.008350+0.000085 test-mlogloss:1.139717+0.048907
## [179] train-mlogloss:0.008316+0.000080 test-mlogloss:1.139293+0.049061
## [180] train-mlogloss:0.008284+0.000085 test-mlogloss:1.139802+0.048857
## [181] train-mlogloss:0.008258+0.000086 test-mlogloss:1.141435+0.048505
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## [186] train-mlogloss:0.008108+0.000082 test-mlogloss:1.145652+0.049523
## [187] train-mlogloss:0.008077+0.000081 test-mlogloss:1.145165+0.049758
## [188] train-mlogloss:0.008045+0.000084 test-mlogloss:1.145249+0.048276
## [189] train-mlogloss:0.008018+0.000085 test-mlogloss:1.146553+0.048325
## [190] train-mlogloss:0.007988+0.000080 test-mlogloss:1.146138+0.047948
## [191] train-mlogloss:0.007963+0.000078 test-mlogloss:1.146640+0.048800
## [192] train-mlogloss:0.007934+0.000077 test-mlogloss:1.147374+0.047146
## [193] train-mlogloss:0.007903+0.000070 test-mlogloss:1.147061+0.047440
## [194] train-mlogloss:0.007881+0.000074 test-mlogloss:1.148442+0.048333
## [195] train-mlogloss:0.007859+0.000077 test-mlogloss:1.149542+0.047515
## [196] train-mlogloss:0.007832+0.000077 test-mlogloss:1.149681+0.048205
## [197] train-mlogloss:0.007809+0.000078 test-mlogloss:1.149074+0.047899
## [198] train-mlogloss:0.007787+0.000079 test-mlogloss:1.149373+0.048861
## [199] train-mlogloss:0.007764+0.000077 test-mlogloss:1.150168+0.048762
## [200] train-mlogloss:0.007738+0.000076 test-mlogloss:1.151020+0.048147
## [201] train-mlogloss:0.007716+0.000079 test-mlogloss:1.152628+0.048678
## [202] train-mlogloss:0.007693+0.000082 test-mlogloss:1.153487+0.047613
## [203] train-mlogloss:0.007662+0.000077 test-mlogloss:1.153352+0.048624
## [204] train-mlogloss:0.007642+0.000076 test-mlogloss:1.154643+0.048330
## [205] train-mlogloss:0.007619+0.000076 test-mlogloss:1.155436+0.047856
## [206] train-mlogloss:0.007591+0.000073 test-mlogloss:1.155198+0.048403
## [207] train-mlogloss:0.007567+0.000078 test-mlogloss:1.156306+0.048250
## [208] train-mlogloss:0.007543+0.000078 test-mlogloss:1.157757+0.048135
## [209] train-mlogloss:0.007523+0.000081 test-mlogloss:1.158113+0.047953
## [210] train-mlogloss:0.007498+0.000077 test-mlogloss:1.157178+0.047730
## [211] train-mlogloss:0.007473+0.000076 test-mlogloss:1.157846+0.047766
## [212] train-mlogloss:0.007440+0.000070 test-mlogloss:1.157847+0.047627
## [213] train-mlogloss:0.007416+0.000070 test-mlogloss:1.158142+0.048662
## [214] train-mlogloss:0.007400+0.000073 test-mlogloss:1.159127+0.048441
## [215] train-mlogloss:0.007375+0.000076 test-mlogloss:1.158240+0.047792
## [216] train-mlogloss:0.007349+0.000076 test-mlogloss:1.159540+0.046754
## [217] train-mlogloss:0.007330+0.000071 test-mlogloss:1.160203+0.046551
## [218] train-mlogloss:0.007310+0.000073 test-mlogloss:1.160782+0.047132
## [219] train-mlogloss:0.007287+0.000074 test-mlogloss:1.161698+0.047414
## [220] train-mlogloss:0.007269+0.000072 test-mlogloss:1.160828+0.047955
## [221] train-mlogloss:0.007247+0.000071 test-mlogloss:1.160534+0.046868
## [222] train-mlogloss:0.007226+0.000069 test-mlogloss:1.161392+0.047392
## [223] train-mlogloss:0.007204+0.000072 test-mlogloss:1.163478+0.047601
## [224] train-mlogloss:0.007182+0.000070 test-mlogloss:1.164292+0.046278
## [225] train-mlogloss:0.007159+0.000068 test-mlogloss:1.165503+0.046277
## [226] train-mlogloss:0.007142+0.000071 test-mlogloss:1.165428+0.046272
## [227] train-mlogloss:0.007121+0.000068 test-mlogloss:1.165338+0.046876
## [228] train-mlogloss:0.007101+0.000068 test-mlogloss:1.166785+0.046633
## [229] train-mlogloss:0.007084+0.000069 test-mlogloss:1.166788+0.043761
## [230] train-mlogloss:0.007063+0.000064 test-mlogloss:1.166202+0.044435
## [231] train-mlogloss:0.007045+0.000071 test-mlogloss:1.166078+0.045803
## [232] train-mlogloss:0.007021+0.000065 test-mlogloss:1.166290+0.046364
## [233] train-mlogloss:0.007005+0.000071 test-mlogloss:1.166002+0.045744
## [234] train-mlogloss:0.006987+0.000068 test-mlogloss:1.165848+0.046588
## [235] train-mlogloss:0.006966+0.000069 test-mlogloss:1.166201+0.046013
## [236] train-mlogloss:0.006942+0.000067 test-mlogloss:1.166056+0.046300
## [237] train-mlogloss:0.006927+0.000072 test-mlogloss:1.166341+0.046971
## [238] train-mlogloss:0.006906+0.000073 test-mlogloss:1.167705+0.047411
## [239] train-mlogloss:0.006883+0.000075 test-mlogloss:1.167737+0.047572
## [240] train-mlogloss:0.006868+0.000074 test-mlogloss:1.168629+0.048213
## [241] train-mlogloss:0.006846+0.000074 test-mlogloss:1.169625+0.047893
## [242] train-mlogloss:0.006829+0.000073 test-mlogloss:1.171521+0.047501
## [243] train-mlogloss:0.006811+0.000073 test-mlogloss:1.172153+0.047507
## [244] train-mlogloss:0.006794+0.000074 test-mlogloss:1.171302+0.047788
## [245] train-mlogloss:0.006778+0.000071 test-mlogloss:1.171963+0.047745
## [246] train-mlogloss:0.006763+0.000071 test-mlogloss:1.171885+0.047809
## [247] train-mlogloss:0.006743+0.000067 test-mlogloss:1.172281+0.047204
## [248] train-mlogloss:0.006725+0.000066 test-mlogloss:1.173926+0.047066
## [249] train-mlogloss:0.006708+0.000063 test-mlogloss:1.172444+0.046419
## [250] train-mlogloss:0.006693+0.000061 test-mlogloss:1.173158+0.046597
## [251] train-mlogloss:0.006679+0.000059 test-mlogloss:1.173296+0.046755
## [252] train-mlogloss:0.006663+0.000059 test-mlogloss:1.174745+0.047112
## [253] train-mlogloss:0.006647+0.000058 test-mlogloss:1.175756+0.047872
## [254] train-mlogloss:0.006631+0.000059 test-mlogloss:1.176014+0.048669
## [255] train-mlogloss:0.006609+0.000063 test-mlogloss:1.178105+0.048512
## [256] train-mlogloss:0.006591+0.000061 test-mlogloss:1.178513+0.048552
## [257] train-mlogloss:0.006578+0.000062 test-mlogloss:1.178590+0.048608
## [258] train-mlogloss:0.006558+0.000064 test-mlogloss:1.178427+0.047885
## [259] train-mlogloss:0.006544+0.000060 test-mlogloss:1.179257+0.047619
## [260] train-mlogloss:0.006529+0.000064 test-mlogloss:1.179515+0.046724
## [261] train-mlogloss:0.006510+0.000066 test-mlogloss:1.179168+0.047069
## [262] train-mlogloss:0.006496+0.000062 test-mlogloss:1.179956+0.046194
## [263] train-mlogloss:0.006481+0.000062 test-mlogloss:1.181524+0.046101
## [264] train-mlogloss:0.006461+0.000059 test-mlogloss:1.180611+0.046262
## [265] train-mlogloss:0.006448+0.000062 test-mlogloss:1.181053+0.045997
## [266] train-mlogloss:0.006432+0.000060 test-mlogloss:1.181407+0.046914
## [267] train-mlogloss:0.006416+0.000057 test-mlogloss:1.179881+0.046137
## [268] train-mlogloss:0.006399+0.000058 test-mlogloss:1.181327+0.046473
## [269] train-mlogloss:0.006384+0.000060 test-mlogloss:1.181963+0.046409
## [270] train-mlogloss:0.006370+0.000063 test-mlogloss:1.182344+0.046891
## [271] train-mlogloss:0.006359+0.000064 test-mlogloss:1.182169+0.047150
## [272] train-mlogloss:0.006348+0.000063 test-mlogloss:1.182318+0.047433
## [273] train-mlogloss:0.006337+0.000062 test-mlogloss:1.182667+0.048134
## [274] train-mlogloss:0.006325+0.000058 test-mlogloss:1.183232+0.047856
## [275] train-mlogloss:0.006310+0.000061 test-mlogloss:1.183895+0.047371
## [276] train-mlogloss:0.006293+0.000056 test-mlogloss:1.183502+0.047541
## [277] train-mlogloss:0.006280+0.000059 test-mlogloss:1.184464+0.046964
## [278] train-mlogloss:0.006268+0.000057 test-mlogloss:1.185498+0.046933
## [279] train-mlogloss:0.006257+0.000056 test-mlogloss:1.185601+0.047761
## [280] train-mlogloss:0.006244+0.000057 test-mlogloss:1.186114+0.048322
## [281] train-mlogloss:0.006227+0.000058 test-mlogloss:1.186460+0.047973
## [282] train-mlogloss:0.006210+0.000059 test-mlogloss:1.186914+0.046824
## [283] train-mlogloss:0.006196+0.000055 test-mlogloss:1.187995+0.047334
## [284] train-mlogloss:0.006184+0.000053 test-mlogloss:1.188409+0.046760
## [285] train-mlogloss:0.006172+0.000053 test-mlogloss:1.188851+0.046792
## [286] train-mlogloss:0.006162+0.000050 test-mlogloss:1.188686+0.045208
## [287] train-mlogloss:0.006150+0.000051 test-mlogloss:1.189930+0.045424
## [288] train-mlogloss:0.006137+0.000051 test-mlogloss:1.189459+0.045648
## [289] train-mlogloss:0.006127+0.000051 test-mlogloss:1.189352+0.045483
## [290] train-mlogloss:0.006113+0.000051 test-mlogloss:1.190126+0.046132
## [291] train-mlogloss:0.006098+0.000050 test-mlogloss:1.191319+0.045777
## [292] train-mlogloss:0.006086+0.000051 test-mlogloss:1.191280+0.046438
## [293] train-mlogloss:0.006073+0.000049 test-mlogloss:1.190968+0.047043
## [294] train-mlogloss:0.006062+0.000051 test-mlogloss:1.190592+0.047310
## [295] train-mlogloss:0.006048+0.000050 test-mlogloss:1.192793+0.046705
## [296] train-mlogloss:0.006036+0.000049 test-mlogloss:1.193746+0.046901
## [297] train-mlogloss:0.006025+0.000050 test-mlogloss:1.194596+0.047857
## [298] train-mlogloss:0.006011+0.000048 test-mlogloss:1.193711+0.046854
## [299] train-mlogloss:0.005996+0.000048 test-mlogloss:1.192478+0.048096
## [300] train-mlogloss:0.005987+0.000047 test-mlogloss:1.193026+0.047499
## [301] train-mlogloss:0.005973+0.000045 test-mlogloss:1.195008+0.048998
## [302] train-mlogloss:0.005959+0.000049 test-mlogloss:1.194868+0.048053
## [303] train-mlogloss:0.005946+0.000045 test-mlogloss:1.194556+0.048791
## [304] train-mlogloss:0.005934+0.000042 test-mlogloss:1.194521+0.048464
## [305] train-mlogloss:0.005920+0.000042 test-mlogloss:1.193606+0.048341
## [306] train-mlogloss:0.005908+0.000041 test-mlogloss:1.194961+0.048146
## [307] train-mlogloss:0.005901+0.000041 test-mlogloss:1.195609+0.048295
## [308] train-mlogloss:0.005890+0.000041 test-mlogloss:1.195439+0.047154
## [309] train-mlogloss:0.005880+0.000040 test-mlogloss:1.196402+0.047586
## [310] train-mlogloss:0.005869+0.000040 test-mlogloss:1.196994+0.047190
## [311] train-mlogloss:0.005855+0.000040 test-mlogloss:1.197186+0.047335
## [312] train-mlogloss:0.005846+0.000041 test-mlogloss:1.197280+0.047221
## [313] train-mlogloss:0.005835+0.000041 test-mlogloss:1.197182+0.047133
## [314] train-mlogloss:0.005826+0.000040 test-mlogloss:1.197755+0.047808
## [315] train-mlogloss:0.005816+0.000038 test-mlogloss:1.199541+0.048113
## [316] train-mlogloss:0.005804+0.000037 test-mlogloss:1.199014+0.048235
## [317] train-mlogloss:0.005793+0.000041 test-mlogloss:1.200367+0.048887
## [318] train-mlogloss:0.005781+0.000041 test-mlogloss:1.201170+0.048568
## [319] train-mlogloss:0.005773+0.000042 test-mlogloss:1.200489+0.047387
## [320] train-mlogloss:0.005765+0.000042 test-mlogloss:1.201425+0.047715
## [321] train-mlogloss:0.005753+0.000043 test-mlogloss:1.201012+0.048277
## [322] train-mlogloss:0.005740+0.000039 test-mlogloss:1.200701+0.047402
## [323] train-mlogloss:0.005728+0.000038 test-mlogloss:1.200971+0.047786
## [324] train-mlogloss:0.005718+0.000037 test-mlogloss:1.201634+0.047956
## [325] train-mlogloss:0.005705+0.000038 test-mlogloss:1.201432+0.048526
## [326] train-mlogloss:0.005693+0.000035 test-mlogloss:1.201445+0.048209
## [327] train-mlogloss:0.005684+0.000040 test-mlogloss:1.201779+0.048148
## [328] train-mlogloss:0.005673+0.000038 test-mlogloss:1.201734+0.047863
## [329] train-mlogloss:0.005663+0.000040 test-mlogloss:1.202481+0.048766
## [330] train-mlogloss:0.005654+0.000037 test-mlogloss:1.202720+0.049391
## [331] train-mlogloss:0.005645+0.000036 test-mlogloss:1.202602+0.049496
## [332] train-mlogloss:0.005635+0.000036 test-mlogloss:1.202783+0.048956
## [333] train-mlogloss:0.005627+0.000039 test-mlogloss:1.204107+0.048516
## [334] train-mlogloss:0.005613+0.000035 test-mlogloss:1.204172+0.048233
## [335] train-mlogloss:0.005603+0.000033 test-mlogloss:1.203497+0.048193
## [336] train-mlogloss:0.005592+0.000032 test-mlogloss:1.204412+0.048098
## [337] train-mlogloss:0.005579+0.000034 test-mlogloss:1.205380+0.049072
## [338] train-mlogloss:0.005571+0.000032 test-mlogloss:1.206074+0.049640
## [339] train-mlogloss:0.005565+0.000035 test-mlogloss:1.205792+0.047926
## [340] train-mlogloss:0.005554+0.000031 test-mlogloss:1.205951+0.048365
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## [342] train-mlogloss:0.005533+0.000031 test-mlogloss:1.205757+0.049848
## [343] train-mlogloss:0.005525+0.000030 test-mlogloss:1.206835+0.049976
## [344] train-mlogloss:0.005513+0.000035 test-mlogloss:1.206540+0.049418
## [345] train-mlogloss:0.005503+0.000032 test-mlogloss:1.207314+0.049699
## [346] train-mlogloss:0.005491+0.000030 test-mlogloss:1.206647+0.050363
## [347] train-mlogloss:0.005484+0.000029 test-mlogloss:1.206887+0.049787
## [348] train-mlogloss:0.005471+0.000030 test-mlogloss:1.208022+0.050529
## [349] train-mlogloss:0.005463+0.000026 test-mlogloss:1.208269+0.050475
## [350] train-mlogloss:0.005455+0.000026 test-mlogloss:1.208192+0.050027
## [351] train-mlogloss:0.005445+0.000026 test-mlogloss:1.208241+0.049719
## [352] train-mlogloss:0.005438+0.000028 test-mlogloss:1.209774+0.049660
## [353] train-mlogloss:0.005430+0.000027 test-mlogloss:1.210007+0.050340
## [354] train-mlogloss:0.005423+0.000026 test-mlogloss:1.209830+0.051143
## [355] train-mlogloss:0.005409+0.000028 test-mlogloss:1.211158+0.050039
## [356] train-mlogloss:0.005403+0.000026 test-mlogloss:1.212089+0.049983
## [357] train-mlogloss:0.005395+0.000026 test-mlogloss:1.211649+0.050126
## [358] train-mlogloss:0.005389+0.000027 test-mlogloss:1.212033+0.050221
## [359] train-mlogloss:0.005378+0.000026 test-mlogloss:1.212322+0.050414
## [360] train-mlogloss:0.005370+0.000026 test-mlogloss:1.211904+0.049266
## [361] train-mlogloss:0.005361+0.000025 test-mlogloss:1.212179+0.049858
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## [364] train-mlogloss:0.005333+0.000027 test-mlogloss:1.213349+0.050097
## [365] train-mlogloss:0.005328+0.000026 test-mlogloss:1.214065+0.050503
## [366] train-mlogloss:0.005319+0.000028 test-mlogloss:1.215163+0.050519
## [367] train-mlogloss:0.005311+0.000027 test-mlogloss:1.215035+0.050576
## [368] train-mlogloss:0.005307+0.000026 test-mlogloss:1.214225+0.051042
## [369] train-mlogloss:0.005298+0.000029 test-mlogloss:1.214270+0.050907
## [370] train-mlogloss:0.005288+0.000029 test-mlogloss:1.215747+0.050368
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## [372] train-mlogloss:0.005269+0.000030 test-mlogloss:1.217387+0.051141
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## [375] train-mlogloss:0.005240+0.000028 test-mlogloss:1.217666+0.051467
## [376] train-mlogloss:0.005235+0.000031 test-mlogloss:1.217644+0.051300
## [377] train-mlogloss:0.005225+0.000029 test-mlogloss:1.218989+0.052293
## [378] train-mlogloss:0.005220+0.000028 test-mlogloss:1.218595+0.052239
## [379] train-mlogloss:0.005211+0.000028 test-mlogloss:1.219342+0.052269
## [380] train-mlogloss:0.005202+0.000027 test-mlogloss:1.219316+0.052595
## [381] train-mlogloss:0.005193+0.000031 test-mlogloss:1.219763+0.052936
## [382] train-mlogloss:0.005182+0.000032 test-mlogloss:1.219523+0.052038
## [383] train-mlogloss:0.005176+0.000030 test-mlogloss:1.219785+0.052049
## [384] train-mlogloss:0.005167+0.000032 test-mlogloss:1.220835+0.052361
## [385] train-mlogloss:0.005160+0.000031 test-mlogloss:1.220561+0.052110
## [386] train-mlogloss:0.005153+0.000032 test-mlogloss:1.220943+0.052205
## [387] train-mlogloss:0.005144+0.000033 test-mlogloss:1.221115+0.052618
## [388] train-mlogloss:0.005136+0.000033 test-mlogloss:1.222437+0.052474
## [389] train-mlogloss:0.005128+0.000033 test-mlogloss:1.221763+0.053132
## [390] train-mlogloss:0.005124+0.000033 test-mlogloss:1.221764+0.053883
## [391] train-mlogloss:0.005118+0.000033 test-mlogloss:1.221687+0.053516
## [392] train-mlogloss:0.005109+0.000032 test-mlogloss:1.221337+0.053521
## [393] train-mlogloss:0.005103+0.000030 test-mlogloss:1.221942+0.053590
## [394] train-mlogloss:0.005094+0.000031 test-mlogloss:1.221695+0.053315
## [395] train-mlogloss:0.005089+0.000033 test-mlogloss:1.220732+0.053857
## [396] train-mlogloss:0.005084+0.000035 test-mlogloss:1.220962+0.053687
## [397] train-mlogloss:0.005075+0.000032 test-mlogloss:1.220606+0.053924
## [398] train-mlogloss:0.005068+0.000032 test-mlogloss:1.221000+0.053592
## [399] train-mlogloss:0.005059+0.000030 test-mlogloss:1.222190+0.053396
## [400] train-mlogloss:0.005054+0.000030 test-mlogloss:1.222667+0.053249
## [401] train-mlogloss:0.005049+0.000030 test-mlogloss:1.223732+0.054494
## [402] train-mlogloss:0.005043+0.000029 test-mlogloss:1.224101+0.053739
## [403] train-mlogloss:0.005036+0.000028 test-mlogloss:1.223870+0.053112
## [404] train-mlogloss:0.005028+0.000030 test-mlogloss:1.223932+0.053064
## [405] train-mlogloss:0.005024+0.000032 test-mlogloss:1.223282+0.052315
## [406] train-mlogloss:0.005018+0.000032 test-mlogloss:1.224309+0.052688
## [407] train-mlogloss:0.005014+0.000030 test-mlogloss:1.224105+0.054057
## [408] train-mlogloss:0.005007+0.000029 test-mlogloss:1.224177+0.054533
## [409] train-mlogloss:0.004998+0.000028 test-mlogloss:1.224450+0.054973
## [410] train-mlogloss:0.004991+0.000029 test-mlogloss:1.224730+0.054864
## [411] train-mlogloss:0.004985+0.000029 test-mlogloss:1.225195+0.054778
## [412] train-mlogloss:0.004977+0.000027 test-mlogloss:1.225459+0.054925
## [413] train-mlogloss:0.004970+0.000027 test-mlogloss:1.225428+0.054086
## [414] train-mlogloss:0.004962+0.000027 test-mlogloss:1.224793+0.054744
## [415] train-mlogloss:0.004957+0.000025 test-mlogloss:1.224896+0.054735
## [416] train-mlogloss:0.004949+0.000026 test-mlogloss:1.225893+0.055013
## [417] train-mlogloss:0.004942+0.000024 test-mlogloss:1.226002+0.055065
## [418] train-mlogloss:0.004936+0.000024 test-mlogloss:1.226056+0.055718
## [419] train-mlogloss:0.004930+0.000025 test-mlogloss:1.226147+0.056266
## [420] train-mlogloss:0.004923+0.000026 test-mlogloss:1.227223+0.056450
## [421] train-mlogloss:0.004917+0.000025 test-mlogloss:1.227408+0.055551
## [422] train-mlogloss:0.004908+0.000025 test-mlogloss:1.226787+0.055750
## [423] train-mlogloss:0.004902+0.000024 test-mlogloss:1.227298+0.055866
## [424] train-mlogloss:0.004894+0.000027 test-mlogloss:1.227333+0.056321
## [425] train-mlogloss:0.004887+0.000028 test-mlogloss:1.227880+0.055883
## [426] train-mlogloss:0.004883+0.000029 test-mlogloss:1.228880+0.056185
## [427] train-mlogloss:0.004873+0.000028 test-mlogloss:1.228478+0.056501
## [428] train-mlogloss:0.004868+0.000029 test-mlogloss:1.227987+0.057096
## [429] train-mlogloss:0.004863+0.000029 test-mlogloss:1.227674+0.057904
## [430] train-mlogloss:0.004856+0.000029 test-mlogloss:1.228094+0.056848
## [431] train-mlogloss:0.004851+0.000027 test-mlogloss:1.229857+0.056799
## [432] train-mlogloss:0.004844+0.000028 test-mlogloss:1.229193+0.056811
## [433] train-mlogloss:0.004836+0.000030 test-mlogloss:1.228914+0.056619
## [434] train-mlogloss:0.004830+0.000030 test-mlogloss:1.228746+0.056472
## [435] train-mlogloss:0.004825+0.000029 test-mlogloss:1.229181+0.056836
## [436] train-mlogloss:0.004818+0.000029 test-mlogloss:1.229375+0.056710
## [437] train-mlogloss:0.004810+0.000029 test-mlogloss:1.228903+0.056471
## [438] train-mlogloss:0.004806+0.000028 test-mlogloss:1.230935+0.056092
## [439] train-mlogloss:0.004802+0.000029 test-mlogloss:1.230441+0.056765
## [440] train-mlogloss:0.004795+0.000027 test-mlogloss:1.230356+0.056649
## [441] train-mlogloss:0.004792+0.000026 test-mlogloss:1.230196+0.057077
## [442] train-mlogloss:0.004786+0.000025 test-mlogloss:1.230385+0.056272
## [443] train-mlogloss:0.004780+0.000025 test-mlogloss:1.230104+0.056987
## [444] train-mlogloss:0.004774+0.000027 test-mlogloss:1.230129+0.057070
## [445] train-mlogloss:0.004767+0.000027 test-mlogloss:1.230196+0.056985
## [446] train-mlogloss:0.004760+0.000027 test-mlogloss:1.229930+0.055567
## [447] train-mlogloss:0.004754+0.000029 test-mlogloss:1.229446+0.056740
## [448] train-mlogloss:0.004748+0.000028 test-mlogloss:1.229287+0.056612
## [449] train-mlogloss:0.004742+0.000029 test-mlogloss:1.230250+0.056704
## [450] train-mlogloss:0.004736+0.000027 test-mlogloss:1.230610+0.055908
## [451] train-mlogloss:0.004731+0.000029 test-mlogloss:1.230333+0.056056
## [452] train-mlogloss:0.004724+0.000030 test-mlogloss:1.230772+0.056707
## [453] train-mlogloss:0.004718+0.000030 test-mlogloss:1.230397+0.056043
## [454] train-mlogloss:0.004715+0.000030 test-mlogloss:1.231366+0.056519
## [455] train-mlogloss:0.004710+0.000029 test-mlogloss:1.231162+0.055314
## [456] train-mlogloss:0.004706+0.000030 test-mlogloss:1.231649+0.056618
## [457] train-mlogloss:0.004699+0.000030 test-mlogloss:1.231037+0.056548
## [458] train-mlogloss:0.004689+0.000029 test-mlogloss:1.230200+0.056417
## [459] train-mlogloss:0.004683+0.000029 test-mlogloss:1.231278+0.056596
## [460] train-mlogloss:0.004676+0.000028 test-mlogloss:1.231753+0.056914
## [461] train-mlogloss:0.004671+0.000030 test-mlogloss:1.231956+0.057177
## [462] train-mlogloss:0.004666+0.000030 test-mlogloss:1.232224+0.057372
## [463] train-mlogloss:0.004662+0.000027 test-mlogloss:1.232618+0.058313
## [464] train-mlogloss:0.004659+0.000030 test-mlogloss:1.232801+0.058511
## [465] train-mlogloss:0.004655+0.000030 test-mlogloss:1.232707+0.058630
## [466] train-mlogloss:0.004649+0.000030 test-mlogloss:1.232525+0.058935
## [467] train-mlogloss:0.004645+0.000029 test-mlogloss:1.233224+0.058062
## [468] train-mlogloss:0.004640+0.000029 test-mlogloss:1.233887+0.058120
## [469] train-mlogloss:0.004637+0.000029 test-mlogloss:1.234668+0.057817
## [470] train-mlogloss:0.004630+0.000030 test-mlogloss:1.235283+0.057432
## [471] train-mlogloss:0.004622+0.000029 test-mlogloss:1.235687+0.057022
## [472] train-mlogloss:0.004617+0.000030 test-mlogloss:1.235462+0.056947
## [473] train-mlogloss:0.004610+0.000029 test-mlogloss:1.235370+0.056930
## [474] train-mlogloss:0.004604+0.000030 test-mlogloss:1.236488+0.057868
## [475] train-mlogloss:0.004597+0.000031 test-mlogloss:1.235558+0.057400
## [476] train-mlogloss:0.004591+0.000029 test-mlogloss:1.235885+0.057674
## [477] train-mlogloss:0.004589+0.000027 test-mlogloss:1.236826+0.058013
## [478] train-mlogloss:0.004583+0.000029 test-mlogloss:1.236856+0.057625
## [479] train-mlogloss:0.004579+0.000030 test-mlogloss:1.237155+0.056667
## [480] train-mlogloss:0.004574+0.000032 test-mlogloss:1.236910+0.057006
## [481] train-mlogloss:0.004567+0.000032 test-mlogloss:1.236379+0.057126
## [482] train-mlogloss:0.004560+0.000030 test-mlogloss:1.236721+0.056912
## [483] train-mlogloss:0.004556+0.000031 test-mlogloss:1.237241+0.057155
## [484] train-mlogloss:0.004551+0.000029 test-mlogloss:1.237083+0.057138
## [485] train-mlogloss:0.004546+0.000029 test-mlogloss:1.237926+0.056753
## [486] train-mlogloss:0.004542+0.000030 test-mlogloss:1.238577+0.056699
## [487] train-mlogloss:0.004537+0.000028 test-mlogloss:1.238130+0.056787
## [488] train-mlogloss:0.004534+0.000029 test-mlogloss:1.237713+0.056456
## [489] train-mlogloss:0.004528+0.000027 test-mlogloss:1.238155+0.057412
## [490] train-mlogloss:0.004522+0.000027 test-mlogloss:1.239302+0.057168
## [491] train-mlogloss:0.004519+0.000029 test-mlogloss:1.239433+0.056681
## [492] train-mlogloss:0.004514+0.000026 test-mlogloss:1.239260+0.056673
## [493] train-mlogloss:0.004507+0.000029 test-mlogloss:1.239148+0.056387
## [494] train-mlogloss:0.004503+0.000029 test-mlogloss:1.238838+0.056336
## [495] train-mlogloss:0.004498+0.000027 test-mlogloss:1.238101+0.057310
## [496] train-mlogloss:0.004493+0.000027 test-mlogloss:1.239373+0.057266
## [497] train-mlogloss:0.004487+0.000028 test-mlogloss:1.238966+0.057757
## [498] train-mlogloss:0.004483+0.000029 test-mlogloss:1.239649+0.057835
## [499] train-mlogloss:0.004479+0.000028 test-mlogloss:1.239654+0.057552
## [500] train-mlogloss:0.004474+0.000027 test-mlogloss:1.239186+0.057107
## [1] train-mlogloss:0.615388+0.001417 test-mlogloss:0.622923+0.003845
## [2] train-mlogloss:0.572186+0.003365 test-mlogloss:0.586574+0.005301
## [3] train-mlogloss:0.543853+0.002870 test-mlogloss:0.563854+0.006577
## [4] train-mlogloss:0.526361+0.003264 test-mlogloss:0.551324+0.006994
## [5] train-mlogloss:0.514022+0.003017 test-mlogloss:0.543968+0.008633
## [6] train-mlogloss:0.504632+0.003038 test-mlogloss:0.539844+0.009387
## [7] train-mlogloss:0.497786+0.003105 test-mlogloss:0.537646+0.009806
## [8] train-mlogloss:0.492211+0.003200 test-mlogloss:0.536499+0.010392
## [9] train-mlogloss:0.487640+0.003215 test-mlogloss:0.536408+0.010727
## [10] train-mlogloss:0.483795+0.003334 test-mlogloss:0.536659+0.011240
## [11] train-mlogloss:0.479850+0.002867 test-mlogloss:0.536688+0.010912
## [12] train-mlogloss:0.476434+0.002785 test-mlogloss:0.537232+0.011043
## [13] train-mlogloss:0.473473+0.002481 test-mlogloss:0.538220+0.011341
## [14] train-mlogloss:0.471111+0.002798 test-mlogloss:0.538202+0.011431
## [15] train-mlogloss:0.467676+0.002334 test-mlogloss:0.538781+0.011660
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## [17] train-mlogloss:0.462715+0.003165 test-mlogloss:0.539075+0.012306
## [18] train-mlogloss:0.460020+0.002961 test-mlogloss:0.539447+0.012587
## [19] train-mlogloss:0.457555+0.003003 test-mlogloss:0.539502+0.012631
## [20] train-mlogloss:0.455154+0.003040 test-mlogloss:0.540194+0.012572
## [21] train-mlogloss:0.453114+0.002798 test-mlogloss:0.540274+0.012282
## [22] train-mlogloss:0.450536+0.003206 test-mlogloss:0.540605+0.012121
## [23] train-mlogloss:0.448174+0.003020 test-mlogloss:0.541147+0.012349
## [24] train-mlogloss:0.445308+0.002360 test-mlogloss:0.541701+0.011932
## [25] train-mlogloss:0.443034+0.002846 test-mlogloss:0.542477+0.012015
## [26] train-mlogloss:0.440195+0.002991 test-mlogloss:0.543391+0.012020
## [27] train-mlogloss:0.437920+0.003031 test-mlogloss:0.543841+0.012012
## [28] train-mlogloss:0.434920+0.003465 test-mlogloss:0.544479+0.012898
## [29] train-mlogloss:0.432449+0.003198 test-mlogloss:0.545179+0.012837
## [30] train-mlogloss:0.430504+0.003792 test-mlogloss:0.545430+0.012704
## [31] train-mlogloss:0.427563+0.003787 test-mlogloss:0.546169+0.012860
## [32] train-mlogloss:0.425465+0.003537 test-mlogloss:0.546504+0.012704
## [33] train-mlogloss:0.423754+0.003778 test-mlogloss:0.547058+0.013080
## [34] train-mlogloss:0.421655+0.003706 test-mlogloss:0.547968+0.013191
## [35] train-mlogloss:0.419099+0.003912 test-mlogloss:0.548174+0.012890
## [36] train-mlogloss:0.416467+0.003559 test-mlogloss:0.548482+0.012686
## [37] train-mlogloss:0.414505+0.003168 test-mlogloss:0.549035+0.012515
## [38] train-mlogloss:0.412289+0.003525 test-mlogloss:0.549546+0.012469
## [39] train-mlogloss:0.410020+0.003538 test-mlogloss:0.550397+0.011978
## [40] train-mlogloss:0.407801+0.003892 test-mlogloss:0.551061+0.012334
## [41] train-mlogloss:0.405172+0.004448 test-mlogloss:0.551287+0.013176
## [42] train-mlogloss:0.402608+0.004512 test-mlogloss:0.551864+0.012904
## [43] train-mlogloss:0.400151+0.004032 test-mlogloss:0.552421+0.012640
## [44] train-mlogloss:0.397580+0.004145 test-mlogloss:0.553131+0.012892
## [45] train-mlogloss:0.395683+0.004091 test-mlogloss:0.553220+0.012728
## [46] train-mlogloss:0.393973+0.004104 test-mlogloss:0.553766+0.012703
## [47] train-mlogloss:0.391628+0.004431 test-mlogloss:0.554423+0.012753
## [48] train-mlogloss:0.389614+0.004253 test-mlogloss:0.554823+0.012878
## [49] train-mlogloss:0.387009+0.004162 test-mlogloss:0.555128+0.013082
## [50] train-mlogloss:0.384861+0.004468 test-mlogloss:0.555536+0.013117
## [51] train-mlogloss:0.382948+0.004034 test-mlogloss:0.555921+0.013379
## [52] train-mlogloss:0.380936+0.003919 test-mlogloss:0.556624+0.014029
## [53] train-mlogloss:0.378662+0.003844 test-mlogloss:0.557186+0.014440
## [54] train-mlogloss:0.376976+0.003733 test-mlogloss:0.556996+0.014501
## [55] train-mlogloss:0.375068+0.003589 test-mlogloss:0.557716+0.014526
## [56] train-mlogloss:0.372768+0.003602 test-mlogloss:0.558753+0.014738
## [57] train-mlogloss:0.370782+0.003649 test-mlogloss:0.559466+0.014910
## [58] train-mlogloss:0.368572+0.002981 test-mlogloss:0.559685+0.014832
## [59] train-mlogloss:0.366802+0.002686 test-mlogloss:0.559830+0.014809
## [60] train-mlogloss:0.364626+0.002642 test-mlogloss:0.560021+0.015235
## [61] train-mlogloss:0.362691+0.002201 test-mlogloss:0.560339+0.015237
## [62] train-mlogloss:0.360859+0.001948 test-mlogloss:0.561134+0.015033
## [63] train-mlogloss:0.358643+0.002409 test-mlogloss:0.561428+0.014839
## [64] train-mlogloss:0.356905+0.002287 test-mlogloss:0.561841+0.015171
## [65] train-mlogloss:0.355113+0.002358 test-mlogloss:0.562542+0.014858
## [66] train-mlogloss:0.353488+0.002450 test-mlogloss:0.563073+0.015181
## [67] train-mlogloss:0.351767+0.002483 test-mlogloss:0.563878+0.015284
## [68] train-mlogloss:0.349934+0.002865 test-mlogloss:0.564382+0.015187
## [69] train-mlogloss:0.348274+0.002802 test-mlogloss:0.564922+0.015083
## [70] train-mlogloss:0.346187+0.002860 test-mlogloss:0.565471+0.015190
## [71] train-mlogloss:0.344542+0.002888 test-mlogloss:0.566142+0.015136
## [72] train-mlogloss:0.342788+0.002799 test-mlogloss:0.566289+0.015129
## [73] train-mlogloss:0.340689+0.002943 test-mlogloss:0.567125+0.014819
## [74] train-mlogloss:0.338996+0.002438 test-mlogloss:0.567651+0.015135
## [75] train-mlogloss:0.337357+0.002277 test-mlogloss:0.567983+0.015203
## [76] train-mlogloss:0.335616+0.001897 test-mlogloss:0.569057+0.015800
## [77] train-mlogloss:0.333881+0.001464 test-mlogloss:0.569800+0.015829
## [78] train-mlogloss:0.332119+0.001795 test-mlogloss:0.570652+0.015703
## [79] train-mlogloss:0.330304+0.002083 test-mlogloss:0.570983+0.015667
## [80] train-mlogloss:0.328354+0.002096 test-mlogloss:0.571631+0.015305
## [81] train-mlogloss:0.326694+0.001668 test-mlogloss:0.571984+0.015257
## [82] train-mlogloss:0.325132+0.001542 test-mlogloss:0.572789+0.015172
## [83] train-mlogloss:0.323571+0.001372 test-mlogloss:0.573454+0.015229
## [84] train-mlogloss:0.321980+0.001542 test-mlogloss:0.573869+0.015147
## [85] train-mlogloss:0.320327+0.001804 test-mlogloss:0.574785+0.015150
## [86] train-mlogloss:0.318956+0.001977 test-mlogloss:0.575155+0.015072
## [87] train-mlogloss:0.317300+0.001745 test-mlogloss:0.575720+0.014996
## [88] train-mlogloss:0.315242+0.001293 test-mlogloss:0.576205+0.015158
## [89] train-mlogloss:0.313867+0.001566 test-mlogloss:0.576978+0.015253
## [90] train-mlogloss:0.312141+0.001604 test-mlogloss:0.577803+0.015277
## [91] train-mlogloss:0.310430+0.001591 test-mlogloss:0.578262+0.015006
## [92] train-mlogloss:0.309245+0.001832 test-mlogloss:0.578507+0.015099
## [93] train-mlogloss:0.307547+0.001832 test-mlogloss:0.579711+0.014631
## [94] train-mlogloss:0.305977+0.001616 test-mlogloss:0.580232+0.014414
## [95] train-mlogloss:0.304559+0.001592 test-mlogloss:0.580519+0.014325
## [96] train-mlogloss:0.302882+0.002122 test-mlogloss:0.580890+0.014617
## [97] train-mlogloss:0.301228+0.002073 test-mlogloss:0.581642+0.014241
## [98] train-mlogloss:0.299912+0.001871 test-mlogloss:0.582067+0.014300
## [99] train-mlogloss:0.298050+0.002012 test-mlogloss:0.582438+0.014388
## [100] train-mlogloss:0.296510+0.001960 test-mlogloss:0.582448+0.013834
## [101] train-mlogloss:0.295262+0.002070 test-mlogloss:0.583111+0.014015
## [102] train-mlogloss:0.293777+0.002016 test-mlogloss:0.583882+0.014188
## [103] train-mlogloss:0.292086+0.002128 test-mlogloss:0.584474+0.014106
## [104] train-mlogloss:0.290641+0.002147 test-mlogloss:0.585023+0.013818
## [105] train-mlogloss:0.289328+0.002046 test-mlogloss:0.585410+0.014122
## [106] train-mlogloss:0.288066+0.002028 test-mlogloss:0.585625+0.014326
## [107] train-mlogloss:0.286553+0.002093 test-mlogloss:0.586188+0.014524
## [108] train-mlogloss:0.284953+0.002093 test-mlogloss:0.586616+0.014433
## [109] train-mlogloss:0.283124+0.002262 test-mlogloss:0.587130+0.014136
## [110] train-mlogloss:0.281552+0.002192 test-mlogloss:0.587760+0.014090
## [111] train-mlogloss:0.280125+0.002070 test-mlogloss:0.588581+0.014255
## [112] train-mlogloss:0.278778+0.002210 test-mlogloss:0.588778+0.014523
## [113] train-mlogloss:0.277250+0.002040 test-mlogloss:0.589346+0.014248
## [114] train-mlogloss:0.275748+0.001987 test-mlogloss:0.589892+0.014286
## [115] train-mlogloss:0.274269+0.002013 test-mlogloss:0.590449+0.014317
## [116] train-mlogloss:0.273293+0.001964 test-mlogloss:0.591003+0.014383
## [117] train-mlogloss:0.271833+0.002200 test-mlogloss:0.591256+0.014492
## [118] train-mlogloss:0.270446+0.001988 test-mlogloss:0.591846+0.014427
## [119] train-mlogloss:0.269364+0.001528 test-mlogloss:0.591909+0.014732
## [120] train-mlogloss:0.268114+0.001474 test-mlogloss:0.592506+0.015211
## [121] train-mlogloss:0.266598+0.001446 test-mlogloss:0.592757+0.014862
## [122] train-mlogloss:0.265201+0.001462 test-mlogloss:0.593329+0.014973
## [123] train-mlogloss:0.263941+0.001321 test-mlogloss:0.593954+0.014989
## [124] train-mlogloss:0.262793+0.001523 test-mlogloss:0.594197+0.015054
## [125] train-mlogloss:0.261388+0.001419 test-mlogloss:0.594528+0.014860
## [126] train-mlogloss:0.260208+0.001677 test-mlogloss:0.595332+0.015029
## [127] train-mlogloss:0.259268+0.001540 test-mlogloss:0.596036+0.014750
## [128] train-mlogloss:0.258081+0.001686 test-mlogloss:0.596502+0.014644
## [129] train-mlogloss:0.256811+0.001945 test-mlogloss:0.597078+0.015030
## [130] train-mlogloss:0.255327+0.002259 test-mlogloss:0.597735+0.015036
## [131] train-mlogloss:0.254213+0.002286 test-mlogloss:0.598352+0.015275
## [132] train-mlogloss:0.253002+0.002337 test-mlogloss:0.598998+0.015338
## [133] train-mlogloss:0.251368+0.002222 test-mlogloss:0.599527+0.015286
## [134] train-mlogloss:0.250108+0.002404 test-mlogloss:0.600035+0.015401
## [135] train-mlogloss:0.248850+0.002460 test-mlogloss:0.600536+0.015358
## [136] train-mlogloss:0.247714+0.002396 test-mlogloss:0.601054+0.015296
## [137] train-mlogloss:0.246891+0.002391 test-mlogloss:0.601163+0.015211
## [138] train-mlogloss:0.245758+0.002424 test-mlogloss:0.601253+0.015113
## [139] train-mlogloss:0.244342+0.002163 test-mlogloss:0.602265+0.015383
## [140] train-mlogloss:0.243318+0.002454 test-mlogloss:0.603055+0.015607
## [141] train-mlogloss:0.242035+0.002635 test-mlogloss:0.603540+0.015387
## [142] train-mlogloss:0.240557+0.002569 test-mlogloss:0.603956+0.015290
## [143] train-mlogloss:0.239293+0.002755 test-mlogloss:0.604482+0.015162
## [144] train-mlogloss:0.238160+0.002617 test-mlogloss:0.604976+0.015044
## [145] train-mlogloss:0.236809+0.002501 test-mlogloss:0.605747+0.015394
## [146] train-mlogloss:0.235543+0.002602 test-mlogloss:0.606277+0.015702
## [147] train-mlogloss:0.234163+0.002826 test-mlogloss:0.606995+0.016417
## [148] train-mlogloss:0.233078+0.003005 test-mlogloss:0.607657+0.016530
## [149] train-mlogloss:0.232128+0.002929 test-mlogloss:0.607926+0.016276
## [150] train-mlogloss:0.230973+0.002794 test-mlogloss:0.607741+0.016499
## [151] train-mlogloss:0.229916+0.002873 test-mlogloss:0.608312+0.016715
## [152] train-mlogloss:0.228678+0.002641 test-mlogloss:0.608856+0.016596
## [153] train-mlogloss:0.227426+0.002617 test-mlogloss:0.609515+0.017055
## [154] train-mlogloss:0.226371+0.002449 test-mlogloss:0.610094+0.016818
## [155] train-mlogloss:0.225272+0.002477 test-mlogloss:0.610545+0.016897
## [156] train-mlogloss:0.224305+0.002192 test-mlogloss:0.611608+0.016411
## [157] train-mlogloss:0.223451+0.002434 test-mlogloss:0.611876+0.016084
## [158] train-mlogloss:0.222284+0.002446 test-mlogloss:0.612638+0.016498
## [159] train-mlogloss:0.221287+0.002349 test-mlogloss:0.612848+0.016113
## [160] train-mlogloss:0.220325+0.002355 test-mlogloss:0.613242+0.016000
## [161] train-mlogloss:0.219082+0.002260 test-mlogloss:0.613488+0.015984
## [162] train-mlogloss:0.217944+0.002313 test-mlogloss:0.614466+0.015790
## [163] train-mlogloss:0.216911+0.002252 test-mlogloss:0.615227+0.015569
## [164] train-mlogloss:0.215992+0.002073 test-mlogloss:0.615316+0.015134
## [165] train-mlogloss:0.215123+0.002126 test-mlogloss:0.615904+0.015328
## [166] train-mlogloss:0.214131+0.002180 test-mlogloss:0.616461+0.015490
## [167] train-mlogloss:0.213268+0.002300 test-mlogloss:0.617199+0.015533
## [168] train-mlogloss:0.212074+0.002379 test-mlogloss:0.617836+0.015900
## [169] train-mlogloss:0.210951+0.002205 test-mlogloss:0.618316+0.015650
## [170] train-mlogloss:0.210107+0.002240 test-mlogloss:0.618952+0.015817
## [171] train-mlogloss:0.209108+0.002302 test-mlogloss:0.619312+0.015719
## [172] train-mlogloss:0.208156+0.002356 test-mlogloss:0.619790+0.015939
## [173] train-mlogloss:0.207139+0.002330 test-mlogloss:0.620933+0.016197
## [174] train-mlogloss:0.206051+0.002347 test-mlogloss:0.621195+0.016387
## [175] train-mlogloss:0.205022+0.002334 test-mlogloss:0.621936+0.016450
## [176] train-mlogloss:0.204254+0.002347 test-mlogloss:0.622422+0.016571
## [177] train-mlogloss:0.203324+0.002260 test-mlogloss:0.623056+0.016325
## [178] train-mlogloss:0.202280+0.002266 test-mlogloss:0.623542+0.016229
## [179] train-mlogloss:0.201228+0.002074 test-mlogloss:0.624458+0.016325
## [180] train-mlogloss:0.200277+0.001917 test-mlogloss:0.625062+0.015880
## [181] train-mlogloss:0.199179+0.001959 test-mlogloss:0.625520+0.016202
## [182] train-mlogloss:0.198095+0.002004 test-mlogloss:0.625800+0.016173
## [183] train-mlogloss:0.197171+0.001917 test-mlogloss:0.626658+0.016204
## [184] train-mlogloss:0.196269+0.001947 test-mlogloss:0.627386+0.015916
## [185] train-mlogloss:0.195280+0.001877 test-mlogloss:0.627938+0.016124
## [186] train-mlogloss:0.194320+0.001747 test-mlogloss:0.628409+0.016005
## [187] train-mlogloss:0.193388+0.001651 test-mlogloss:0.629043+0.015773
## [188] train-mlogloss:0.192338+0.001645 test-mlogloss:0.629423+0.015649
## [189] train-mlogloss:0.191487+0.001793 test-mlogloss:0.630351+0.015425
## [190] train-mlogloss:0.190502+0.001741 test-mlogloss:0.630879+0.015397
## [191] train-mlogloss:0.189523+0.001715 test-mlogloss:0.630826+0.015659
## [192] train-mlogloss:0.188549+0.001669 test-mlogloss:0.631696+0.015560
## [193] train-mlogloss:0.187786+0.001843 test-mlogloss:0.632103+0.015617
## [194] train-mlogloss:0.186754+0.001839 test-mlogloss:0.632359+0.015779
## [195] train-mlogloss:0.185616+0.001797 test-mlogloss:0.633095+0.015165
## [196] train-mlogloss:0.184702+0.001929 test-mlogloss:0.633708+0.014989
## [197] train-mlogloss:0.183996+0.001958 test-mlogloss:0.634381+0.014710
## [198] train-mlogloss:0.183087+0.001853 test-mlogloss:0.635031+0.014190
## [199] train-mlogloss:0.182395+0.001662 test-mlogloss:0.635635+0.014013
## [200] train-mlogloss:0.181685+0.001578 test-mlogloss:0.635822+0.014306
## [201] train-mlogloss:0.180738+0.001687 test-mlogloss:0.636313+0.014569
## [202] train-mlogloss:0.179902+0.001732 test-mlogloss:0.636937+0.014563
## [203] train-mlogloss:0.178968+0.001634 test-mlogloss:0.637653+0.014758
## [204] train-mlogloss:0.177947+0.001620 test-mlogloss:0.638267+0.014728
## [205] train-mlogloss:0.177306+0.001720 test-mlogloss:0.638531+0.014589
## [206] train-mlogloss:0.176496+0.001718 test-mlogloss:0.639170+0.014866
## [207] train-mlogloss:0.175819+0.001793 test-mlogloss:0.639570+0.014842
## [208] train-mlogloss:0.174935+0.001643 test-mlogloss:0.639996+0.014908
## [209] train-mlogloss:0.174153+0.001597 test-mlogloss:0.640178+0.014511
## [210] train-mlogloss:0.173303+0.001559 test-mlogloss:0.640477+0.014492
## [211] train-mlogloss:0.172561+0.001510 test-mlogloss:0.640846+0.014529
## [212] train-mlogloss:0.171739+0.001374 test-mlogloss:0.641205+0.014760
## [213] train-mlogloss:0.170936+0.001414 test-mlogloss:0.641559+0.015425
## [214] train-mlogloss:0.169971+0.001285 test-mlogloss:0.642153+0.015663
## [215] train-mlogloss:0.169195+0.001240 test-mlogloss:0.642455+0.015284
## [216] train-mlogloss:0.168495+0.001089 test-mlogloss:0.642957+0.015150
## [217] train-mlogloss:0.167749+0.001122 test-mlogloss:0.643175+0.015420
## [218] train-mlogloss:0.167038+0.001169 test-mlogloss:0.643944+0.015770
## [219] train-mlogloss:0.166236+0.001081 test-mlogloss:0.644551+0.015639
## [220] train-mlogloss:0.165476+0.001065 test-mlogloss:0.645149+0.015793
## [221] train-mlogloss:0.164674+0.000984 test-mlogloss:0.645521+0.015875
## [222] train-mlogloss:0.163914+0.000957 test-mlogloss:0.646283+0.015384
## [223] train-mlogloss:0.163194+0.000997 test-mlogloss:0.646907+0.015427
## [224] train-mlogloss:0.162479+0.000993 test-mlogloss:0.647048+0.015088
## [225] train-mlogloss:0.161803+0.001003 test-mlogloss:0.647750+0.015305
## [226] train-mlogloss:0.161197+0.000950 test-mlogloss:0.648512+0.015460
## [227] train-mlogloss:0.160396+0.001078 test-mlogloss:0.648966+0.015567
## [228] train-mlogloss:0.159685+0.001043 test-mlogloss:0.649562+0.015405
## [229] train-mlogloss:0.159106+0.001028 test-mlogloss:0.650143+0.015716
## [230] train-mlogloss:0.158367+0.000957 test-mlogloss:0.650392+0.015772
## [231] train-mlogloss:0.157522+0.000730 test-mlogloss:0.650801+0.015706
## [232] train-mlogloss:0.156910+0.000866 test-mlogloss:0.650841+0.015451
## [233] train-mlogloss:0.156121+0.000637 test-mlogloss:0.651240+0.015843
## [234] train-mlogloss:0.155371+0.000459 test-mlogloss:0.651669+0.015761
## [235] train-mlogloss:0.154600+0.000575 test-mlogloss:0.652363+0.016164
## [236] train-mlogloss:0.153857+0.000515 test-mlogloss:0.652591+0.016128
## [237] train-mlogloss:0.153138+0.000522 test-mlogloss:0.652521+0.016144
## [238] train-mlogloss:0.152510+0.000537 test-mlogloss:0.653129+0.016289
## [239] train-mlogloss:0.151788+0.000769 test-mlogloss:0.654124+0.016707
## [240] train-mlogloss:0.151083+0.000820 test-mlogloss:0.654565+0.016770
## [241] train-mlogloss:0.150390+0.000886 test-mlogloss:0.654699+0.016844
## [242] train-mlogloss:0.149712+0.000900 test-mlogloss:0.654980+0.016394
## [243] train-mlogloss:0.148852+0.000894 test-mlogloss:0.655555+0.016302
## [244] train-mlogloss:0.148199+0.001013 test-mlogloss:0.655625+0.015946
## [245] train-mlogloss:0.147560+0.001239 test-mlogloss:0.656406+0.015895
## [246] train-mlogloss:0.147011+0.001286 test-mlogloss:0.656752+0.015691
## [247] train-mlogloss:0.146370+0.001266 test-mlogloss:0.657194+0.015658
## [248] train-mlogloss:0.145583+0.001077 test-mlogloss:0.657993+0.015608
## [249] train-mlogloss:0.144842+0.001186 test-mlogloss:0.658562+0.015765
## [250] train-mlogloss:0.144079+0.001129 test-mlogloss:0.659193+0.015703
## [251] train-mlogloss:0.143422+0.001109 test-mlogloss:0.659772+0.015940
## [252] train-mlogloss:0.142679+0.000973 test-mlogloss:0.660334+0.016160
## [253] train-mlogloss:0.142263+0.001041 test-mlogloss:0.660652+0.016342
## [254] train-mlogloss:0.141726+0.001097 test-mlogloss:0.660990+0.016419
## [255] train-mlogloss:0.141088+0.001227 test-mlogloss:0.661771+0.016164
## [256] train-mlogloss:0.140531+0.001159 test-mlogloss:0.662156+0.016278
## [257] train-mlogloss:0.139839+0.001138 test-mlogloss:0.662971+0.016497
## [258] train-mlogloss:0.139198+0.001199 test-mlogloss:0.663491+0.016651
## [259] train-mlogloss:0.138485+0.001133 test-mlogloss:0.663978+0.016416
## [260] train-mlogloss:0.137783+0.001059 test-mlogloss:0.664274+0.016428
## [261] train-mlogloss:0.137158+0.000905 test-mlogloss:0.664854+0.016109
## [262] train-mlogloss:0.136734+0.000811 test-mlogloss:0.665007+0.016173
## [263] train-mlogloss:0.136104+0.001004 test-mlogloss:0.665230+0.015954
## [264] train-mlogloss:0.135499+0.001021 test-mlogloss:0.665565+0.016081
## [265] train-mlogloss:0.135030+0.001138 test-mlogloss:0.665955+0.015791
## [266] train-mlogloss:0.134283+0.001151 test-mlogloss:0.666363+0.015806
## [267] train-mlogloss:0.133783+0.001157 test-mlogloss:0.666796+0.015763
## [268] train-mlogloss:0.133283+0.001170 test-mlogloss:0.666831+0.015244
## [269] train-mlogloss:0.132765+0.001127 test-mlogloss:0.667249+0.014992
## [270] train-mlogloss:0.132058+0.001090 test-mlogloss:0.667908+0.014957
## [271] train-mlogloss:0.131492+0.000977 test-mlogloss:0.668447+0.014826
## [272] train-mlogloss:0.130784+0.001079 test-mlogloss:0.669050+0.014907
## [273] train-mlogloss:0.130231+0.000983 test-mlogloss:0.669554+0.014921
## [274] train-mlogloss:0.129682+0.000952 test-mlogloss:0.670168+0.014798
## [275] train-mlogloss:0.129181+0.001023 test-mlogloss:0.670766+0.014616
## [276] train-mlogloss:0.128553+0.000959 test-mlogloss:0.671735+0.014483
## [277] train-mlogloss:0.127935+0.001074 test-mlogloss:0.672318+0.014754
## [278] train-mlogloss:0.127438+0.001100 test-mlogloss:0.672877+0.014798
## [279] train-mlogloss:0.126911+0.001026 test-mlogloss:0.673476+0.014902
## [280] train-mlogloss:0.126408+0.001074 test-mlogloss:0.673847+0.014764
## [281] train-mlogloss:0.125964+0.001066 test-mlogloss:0.674643+0.014695
## [282] train-mlogloss:0.125331+0.001074 test-mlogloss:0.675322+0.014815
## [283] train-mlogloss:0.124816+0.001077 test-mlogloss:0.675938+0.015012
## [284] train-mlogloss:0.124215+0.001225 test-mlogloss:0.676178+0.015117
## [285] train-mlogloss:0.123658+0.001119 test-mlogloss:0.676896+0.015270
## [286] train-mlogloss:0.123050+0.001073 test-mlogloss:0.677175+0.015208
## [287] train-mlogloss:0.122546+0.001012 test-mlogloss:0.677384+0.015392
## [288] train-mlogloss:0.122024+0.001098 test-mlogloss:0.677669+0.015325
## [289] train-mlogloss:0.121422+0.001120 test-mlogloss:0.678153+0.015421
## [290] train-mlogloss:0.120895+0.001117 test-mlogloss:0.678711+0.015485
## [291] train-mlogloss:0.120528+0.001160 test-mlogloss:0.679316+0.015637
## [292] train-mlogloss:0.119923+0.001113 test-mlogloss:0.680062+0.016100
## [293] train-mlogloss:0.119292+0.001160 test-mlogloss:0.680545+0.016163
## [294] train-mlogloss:0.118951+0.001164 test-mlogloss:0.680696+0.016278
## [295] train-mlogloss:0.118444+0.001224 test-mlogloss:0.681171+0.016396
## [296] train-mlogloss:0.117825+0.001175 test-mlogloss:0.681681+0.017015
## [297] train-mlogloss:0.117293+0.001168 test-mlogloss:0.682556+0.016798
## [298] train-mlogloss:0.116727+0.001273 test-mlogloss:0.683376+0.017083
## [299] train-mlogloss:0.116185+0.001295 test-mlogloss:0.683756+0.017321
## [300] train-mlogloss:0.115726+0.001310 test-mlogloss:0.684257+0.017474
## [301] train-mlogloss:0.115192+0.001284 test-mlogloss:0.684974+0.017469
## [302] train-mlogloss:0.114723+0.001301 test-mlogloss:0.685942+0.017726
## [303] train-mlogloss:0.114277+0.001251 test-mlogloss:0.686064+0.017594
## [304] train-mlogloss:0.113781+0.001300 test-mlogloss:0.686409+0.017328
## [305] train-mlogloss:0.113287+0.001333 test-mlogloss:0.687145+0.016981
## [306] train-mlogloss:0.112899+0.001331 test-mlogloss:0.687577+0.016951
## [307] train-mlogloss:0.112399+0.001311 test-mlogloss:0.687766+0.017071
## [308] train-mlogloss:0.111908+0.001334 test-mlogloss:0.688517+0.017157
## [309] train-mlogloss:0.111436+0.001297 test-mlogloss:0.689067+0.017286
## [310] train-mlogloss:0.111052+0.001315 test-mlogloss:0.689939+0.017362
## [311] train-mlogloss:0.110707+0.001366 test-mlogloss:0.690267+0.017298
## [312] train-mlogloss:0.110128+0.001427 test-mlogloss:0.691049+0.017442
## [313] train-mlogloss:0.109744+0.001453 test-mlogloss:0.691440+0.017485
## [314] train-mlogloss:0.109281+0.001473 test-mlogloss:0.691933+0.017768
## [315] train-mlogloss:0.108801+0.001384 test-mlogloss:0.692843+0.017995
## [316] train-mlogloss:0.108308+0.001291 test-mlogloss:0.693470+0.017851
## [317] train-mlogloss:0.107850+0.001263 test-mlogloss:0.694004+0.017781
## [318] train-mlogloss:0.107485+0.001266 test-mlogloss:0.694578+0.018117
## [319] train-mlogloss:0.107147+0.001283 test-mlogloss:0.695051+0.018037
## [320] train-mlogloss:0.106619+0.001242 test-mlogloss:0.695343+0.018224
## [321] train-mlogloss:0.106214+0.001116 test-mlogloss:0.695817+0.017992
## [322] train-mlogloss:0.105766+0.001115 test-mlogloss:0.696258+0.018288
## [323] train-mlogloss:0.105331+0.001123 test-mlogloss:0.696761+0.018141
## [324] train-mlogloss:0.104905+0.001064 test-mlogloss:0.697056+0.018207
## [325] train-mlogloss:0.104472+0.001041 test-mlogloss:0.697084+0.018132
## [326] train-mlogloss:0.104081+0.000976 test-mlogloss:0.697537+0.017956
## [327] train-mlogloss:0.103771+0.001032 test-mlogloss:0.697657+0.017908
## [328] train-mlogloss:0.103336+0.001100 test-mlogloss:0.698043+0.018114
## [329] train-mlogloss:0.102927+0.001168 test-mlogloss:0.698766+0.017878
## [330] train-mlogloss:0.102442+0.001141 test-mlogloss:0.699438+0.018251
## [331] train-mlogloss:0.102050+0.001138 test-mlogloss:0.699634+0.018194
## [332] train-mlogloss:0.101529+0.001122 test-mlogloss:0.700300+0.018508
## [333] train-mlogloss:0.101196+0.001151 test-mlogloss:0.700706+0.018377
## [334] train-mlogloss:0.100755+0.001210 test-mlogloss:0.701460+0.018338
## [335] train-mlogloss:0.100325+0.001180 test-mlogloss:0.701988+0.018128
## [336] train-mlogloss:0.099984+0.001114 test-mlogloss:0.702329+0.018168
## [337] train-mlogloss:0.099604+0.001133 test-mlogloss:0.702741+0.018038
## [338] train-mlogloss:0.099182+0.001155 test-mlogloss:0.703413+0.018208
## [339] train-mlogloss:0.098753+0.001296 test-mlogloss:0.704134+0.018222
## [340] train-mlogloss:0.098294+0.001273 test-mlogloss:0.704892+0.018377
## [341] train-mlogloss:0.097926+0.001203 test-mlogloss:0.705491+0.019153
## [342] train-mlogloss:0.097565+0.001203 test-mlogloss:0.706295+0.019347
## [343] train-mlogloss:0.097236+0.001232 test-mlogloss:0.706557+0.018835
## [344] train-mlogloss:0.096750+0.001239 test-mlogloss:0.707381+0.019011
## [345] train-mlogloss:0.096379+0.001282 test-mlogloss:0.708098+0.019070
## [346] train-mlogloss:0.095930+0.001267 test-mlogloss:0.708394+0.019001
## [347] train-mlogloss:0.095626+0.001254 test-mlogloss:0.709028+0.018803
## [348] train-mlogloss:0.095257+0.001197 test-mlogloss:0.709356+0.018712
## [349] train-mlogloss:0.094842+0.001114 test-mlogloss:0.709402+0.018806
## [350] train-mlogloss:0.094477+0.001201 test-mlogloss:0.710028+0.018885
## [351] train-mlogloss:0.094118+0.001254 test-mlogloss:0.710487+0.018960
## [352] train-mlogloss:0.093755+0.001235 test-mlogloss:0.711004+0.018895
## [353] train-mlogloss:0.093385+0.001196 test-mlogloss:0.711246+0.018903
## [354] train-mlogloss:0.092961+0.001117 test-mlogloss:0.711703+0.018449
## [355] train-mlogloss:0.092574+0.001055 test-mlogloss:0.712630+0.018413
## [356] train-mlogloss:0.092291+0.001055 test-mlogloss:0.713055+0.018454
## [357] train-mlogloss:0.091884+0.001058 test-mlogloss:0.713531+0.018547
## [358] train-mlogloss:0.091537+0.000995 test-mlogloss:0.713917+0.018559
## [359] train-mlogloss:0.091203+0.001036 test-mlogloss:0.714431+0.018704
## [360] train-mlogloss:0.090806+0.001003 test-mlogloss:0.714885+0.018848
## [361] train-mlogloss:0.090457+0.000987 test-mlogloss:0.715172+0.018679
## [362] train-mlogloss:0.090080+0.000884 test-mlogloss:0.715383+0.018592
## [363] train-mlogloss:0.089772+0.000818 test-mlogloss:0.715769+0.018896
## [364] train-mlogloss:0.089435+0.000776 test-mlogloss:0.716605+0.019185
## [365] train-mlogloss:0.089063+0.000795 test-mlogloss:0.717208+0.019263
## [366] train-mlogloss:0.088735+0.000750 test-mlogloss:0.717614+0.019581
## [367] train-mlogloss:0.088365+0.000708 test-mlogloss:0.717749+0.019570
## [368] train-mlogloss:0.088111+0.000731 test-mlogloss:0.718805+0.019263
## [369] train-mlogloss:0.087733+0.000705 test-mlogloss:0.719061+0.018809
## [370] train-mlogloss:0.087364+0.000618 test-mlogloss:0.719488+0.018645
## [371] train-mlogloss:0.087015+0.000685 test-mlogloss:0.720099+0.018105
## [372] train-mlogloss:0.086727+0.000647 test-mlogloss:0.720471+0.018027
## [373] train-mlogloss:0.086416+0.000647 test-mlogloss:0.720860+0.018095
## [374] train-mlogloss:0.086030+0.000678 test-mlogloss:0.721633+0.018187
## [375] train-mlogloss:0.085723+0.000718 test-mlogloss:0.722057+0.017944
## [376] train-mlogloss:0.085350+0.000673 test-mlogloss:0.722763+0.018227
## [377] train-mlogloss:0.085007+0.000735 test-mlogloss:0.723220+0.018376
## [378] train-mlogloss:0.084656+0.000770 test-mlogloss:0.723785+0.018551
## [379] train-mlogloss:0.084288+0.000668 test-mlogloss:0.724409+0.018605
## [380] train-mlogloss:0.083951+0.000608 test-mlogloss:0.724786+0.018564
## [381] train-mlogloss:0.083667+0.000624 test-mlogloss:0.725401+0.018177
## [382] train-mlogloss:0.083380+0.000629 test-mlogloss:0.725850+0.018085
## [383] train-mlogloss:0.083049+0.000541 test-mlogloss:0.726405+0.018071
## [384] train-mlogloss:0.082788+0.000560 test-mlogloss:0.727067+0.018073
## [385] train-mlogloss:0.082450+0.000593 test-mlogloss:0.727639+0.018118
## [386] train-mlogloss:0.082088+0.000564 test-mlogloss:0.728048+0.018111
## [387] train-mlogloss:0.081804+0.000562 test-mlogloss:0.728211+0.017623
## [388] train-mlogloss:0.081577+0.000594 test-mlogloss:0.728795+0.017829
## [389] train-mlogloss:0.081140+0.000580 test-mlogloss:0.729016+0.017875
## [390] train-mlogloss:0.080845+0.000610 test-mlogloss:0.729804+0.017837
## [391] train-mlogloss:0.080539+0.000535 test-mlogloss:0.730056+0.017821
## [392] train-mlogloss:0.080263+0.000570 test-mlogloss:0.730856+0.017858
## [393] train-mlogloss:0.079960+0.000587 test-mlogloss:0.731300+0.018118
## [394] train-mlogloss:0.079716+0.000615 test-mlogloss:0.732126+0.018329
## [395] train-mlogloss:0.079407+0.000571 test-mlogloss:0.732281+0.018070
## [396] train-mlogloss:0.079019+0.000595 test-mlogloss:0.733108+0.017912
## [397] train-mlogloss:0.078722+0.000515 test-mlogloss:0.733649+0.017739
## [398] train-mlogloss:0.078470+0.000490 test-mlogloss:0.734125+0.017535
## [399] train-mlogloss:0.078147+0.000527 test-mlogloss:0.734787+0.017443
## [400] train-mlogloss:0.077882+0.000530 test-mlogloss:0.735340+0.017765
## [401] train-mlogloss:0.077629+0.000594 test-mlogloss:0.736142+0.017505
## [402] train-mlogloss:0.077325+0.000607 test-mlogloss:0.736210+0.017264
## [403] train-mlogloss:0.076975+0.000560 test-mlogloss:0.736716+0.017352
## [404] train-mlogloss:0.076691+0.000527 test-mlogloss:0.737177+0.017648
## [405] train-mlogloss:0.076341+0.000499 test-mlogloss:0.737389+0.017622
## [406] train-mlogloss:0.076086+0.000546 test-mlogloss:0.738237+0.017580
## [407] train-mlogloss:0.075754+0.000584 test-mlogloss:0.738677+0.017445
## [408] train-mlogloss:0.075381+0.000568 test-mlogloss:0.738888+0.017049
## [409] train-mlogloss:0.075139+0.000534 test-mlogloss:0.739195+0.016982
## [410] train-mlogloss:0.074906+0.000503 test-mlogloss:0.739362+0.017063
## [411] train-mlogloss:0.074624+0.000506 test-mlogloss:0.739895+0.017095
## [412] train-mlogloss:0.074381+0.000567 test-mlogloss:0.740260+0.017175
## [413] train-mlogloss:0.074034+0.000536 test-mlogloss:0.741077+0.016999
## [414] train-mlogloss:0.073739+0.000561 test-mlogloss:0.741473+0.017041
## [415] train-mlogloss:0.073471+0.000519 test-mlogloss:0.742229+0.016999
## [416] train-mlogloss:0.073248+0.000587 test-mlogloss:0.742703+0.017196
## [417] train-mlogloss:0.073044+0.000563 test-mlogloss:0.743181+0.016968
## [418] train-mlogloss:0.072757+0.000618 test-mlogloss:0.743865+0.017191
## [419] train-mlogloss:0.072525+0.000604 test-mlogloss:0.744050+0.017102
## [420] train-mlogloss:0.072267+0.000547 test-mlogloss:0.744382+0.017220
## [421] train-mlogloss:0.071981+0.000562 test-mlogloss:0.744692+0.016948
## [422] train-mlogloss:0.071734+0.000617 test-mlogloss:0.745246+0.017097
## [423] train-mlogloss:0.071487+0.000562 test-mlogloss:0.745616+0.016894
## [424] train-mlogloss:0.071232+0.000591 test-mlogloss:0.745767+0.017073
## [425] train-mlogloss:0.070973+0.000554 test-mlogloss:0.746077+0.017022
## [426] train-mlogloss:0.070697+0.000576 test-mlogloss:0.746509+0.016927
## [427] train-mlogloss:0.070418+0.000594 test-mlogloss:0.746688+0.017237
## [428] train-mlogloss:0.070181+0.000604 test-mlogloss:0.747166+0.017423
## [429] train-mlogloss:0.069970+0.000616 test-mlogloss:0.747579+0.017495
## [430] train-mlogloss:0.069732+0.000611 test-mlogloss:0.747821+0.017659
## [431] train-mlogloss:0.069489+0.000627 test-mlogloss:0.748209+0.017337
## [432] train-mlogloss:0.069208+0.000560 test-mlogloss:0.748500+0.017135
## [433] train-mlogloss:0.068942+0.000565 test-mlogloss:0.749058+0.017172
## [434] train-mlogloss:0.068703+0.000615 test-mlogloss:0.749701+0.017345
## [435] train-mlogloss:0.068441+0.000579 test-mlogloss:0.749974+0.017108
## [436] train-mlogloss:0.068210+0.000544 test-mlogloss:0.750400+0.017129
## [437] train-mlogloss:0.067965+0.000568 test-mlogloss:0.750613+0.016778
## [438] train-mlogloss:0.067747+0.000544 test-mlogloss:0.750972+0.016801
## [439] train-mlogloss:0.067527+0.000534 test-mlogloss:0.751674+0.016754
## [440] train-mlogloss:0.067301+0.000585 test-mlogloss:0.752330+0.016816
## [441] train-mlogloss:0.067100+0.000575 test-mlogloss:0.753084+0.016760
## [442] train-mlogloss:0.066881+0.000611 test-mlogloss:0.753559+0.016689
## [443] train-mlogloss:0.066674+0.000575 test-mlogloss:0.753885+0.016326
## [444] train-mlogloss:0.066334+0.000560 test-mlogloss:0.754057+0.016661
## [445] train-mlogloss:0.066102+0.000496 test-mlogloss:0.754722+0.016673
## [446] train-mlogloss:0.065905+0.000515 test-mlogloss:0.755182+0.016985
## [447] train-mlogloss:0.065616+0.000505 test-mlogloss:0.755623+0.017204
## [448] train-mlogloss:0.065422+0.000528 test-mlogloss:0.755963+0.017184
## [449] train-mlogloss:0.065156+0.000545 test-mlogloss:0.756245+0.016866
## [450] train-mlogloss:0.064928+0.000562 test-mlogloss:0.756718+0.016788
## [451] train-mlogloss:0.064709+0.000644 test-mlogloss:0.757468+0.017191
## [452] train-mlogloss:0.064430+0.000662 test-mlogloss:0.758108+0.017540
## [453] train-mlogloss:0.064207+0.000652 test-mlogloss:0.758533+0.017455
## [454] train-mlogloss:0.063899+0.000669 test-mlogloss:0.759260+0.017322
## [455] train-mlogloss:0.063745+0.000698 test-mlogloss:0.759482+0.017747
## [456] train-mlogloss:0.063547+0.000736 test-mlogloss:0.759878+0.017947
## [457] train-mlogloss:0.063300+0.000796 test-mlogloss:0.760328+0.018017
## [458] train-mlogloss:0.063119+0.000735 test-mlogloss:0.760565+0.017518
## [459] train-mlogloss:0.062905+0.000733 test-mlogloss:0.761178+0.017461
## [460] train-mlogloss:0.062701+0.000760 test-mlogloss:0.761603+0.017393
## [461] train-mlogloss:0.062489+0.000707 test-mlogloss:0.762213+0.017561
## [462] train-mlogloss:0.062261+0.000727 test-mlogloss:0.763080+0.017429
## [463] train-mlogloss:0.062052+0.000765 test-mlogloss:0.763657+0.017501
## [464] train-mlogloss:0.061872+0.000772 test-mlogloss:0.764061+0.017433
## [465] train-mlogloss:0.061695+0.000745 test-mlogloss:0.764347+0.017199
## [466] train-mlogloss:0.061462+0.000749 test-mlogloss:0.764712+0.017278
## [467] train-mlogloss:0.061252+0.000717 test-mlogloss:0.765029+0.017005
## [468] train-mlogloss:0.061034+0.000726 test-mlogloss:0.765628+0.017082
## [469] train-mlogloss:0.060838+0.000705 test-mlogloss:0.765960+0.017260
## [470] train-mlogloss:0.060650+0.000698 test-mlogloss:0.766251+0.017459
## [471] train-mlogloss:0.060438+0.000755 test-mlogloss:0.766827+0.017332
## [472] train-mlogloss:0.060214+0.000732 test-mlogloss:0.767191+0.017353
## [473] train-mlogloss:0.060018+0.000698 test-mlogloss:0.767588+0.017039
## [474] train-mlogloss:0.059829+0.000712 test-mlogloss:0.767879+0.017106
## [475] train-mlogloss:0.059599+0.000615 test-mlogloss:0.768676+0.016863
## [476] train-mlogloss:0.059399+0.000640 test-mlogloss:0.769015+0.016646
## [477] train-mlogloss:0.059171+0.000614 test-mlogloss:0.769548+0.016576
## [478] train-mlogloss:0.058994+0.000613 test-mlogloss:0.770010+0.016617
## [479] train-mlogloss:0.058796+0.000617 test-mlogloss:0.770251+0.017141
## [480] train-mlogloss:0.058596+0.000614 test-mlogloss:0.770521+0.016985
## [481] train-mlogloss:0.058398+0.000595 test-mlogloss:0.770862+0.016800
## [482] train-mlogloss:0.058177+0.000633 test-mlogloss:0.771477+0.016360
## [483] train-mlogloss:0.058016+0.000662 test-mlogloss:0.771921+0.016246
## [484] train-mlogloss:0.057801+0.000691 test-mlogloss:0.772241+0.016303
## [485] train-mlogloss:0.057618+0.000716 test-mlogloss:0.772743+0.016260
## [486] train-mlogloss:0.057378+0.000738 test-mlogloss:0.773551+0.015937
## [487] train-mlogloss:0.057181+0.000695 test-mlogloss:0.774075+0.016211
## [488] train-mlogloss:0.056991+0.000685 test-mlogloss:0.774296+0.016447
## [489] train-mlogloss:0.056786+0.000689 test-mlogloss:0.774858+0.016916
## [490] train-mlogloss:0.056600+0.000736 test-mlogloss:0.775384+0.017076
## [491] train-mlogloss:0.056428+0.000749 test-mlogloss:0.775893+0.016952
## [492] train-mlogloss:0.056228+0.000776 test-mlogloss:0.776375+0.016811
## [493] train-mlogloss:0.056029+0.000743 test-mlogloss:0.776735+0.017019
## [494] train-mlogloss:0.055821+0.000768 test-mlogloss:0.777507+0.017469
## [495] train-mlogloss:0.055613+0.000800 test-mlogloss:0.778347+0.017694
## [496] train-mlogloss:0.055422+0.000782 test-mlogloss:0.778531+0.017560
## [497] train-mlogloss:0.055268+0.000791 test-mlogloss:0.779082+0.017952
## [498] train-mlogloss:0.055089+0.000761 test-mlogloss:0.779567+0.017993
## [499] train-mlogloss:0.054901+0.000763 test-mlogloss:0.780128+0.018234
## [500] train-mlogloss:0.054715+0.000789 test-mlogloss:0.780622+0.018625
## [1] train-mlogloss:0.568299+0.002381 test-mlogloss:0.630261+0.004123
## [2] train-mlogloss:0.485227+0.002631 test-mlogloss:0.596770+0.005903
## [3] train-mlogloss:0.420668+0.002326 test-mlogloss:0.577427+0.007697
## [4] train-mlogloss:0.372776+0.002880 test-mlogloss:0.569482+0.008495
## [5] train-mlogloss:0.332498+0.002778 test-mlogloss:0.564676+0.009990
## [6] train-mlogloss:0.300674+0.003119 test-mlogloss:0.562616+0.010663
## [7] train-mlogloss:0.273854+0.003025 test-mlogloss:0.563031+0.010898
## [8] train-mlogloss:0.251841+0.002805 test-mlogloss:0.565961+0.012057
## [9] train-mlogloss:0.232579+0.002371 test-mlogloss:0.568903+0.012330
## [10] train-mlogloss:0.217469+0.002665 test-mlogloss:0.571796+0.012480
## [11] train-mlogloss:0.203941+0.003463 test-mlogloss:0.576018+0.013959
## [12] train-mlogloss:0.193438+0.004284 test-mlogloss:0.577822+0.015442
## [13] train-mlogloss:0.182746+0.004446 test-mlogloss:0.581073+0.015733
## [14] train-mlogloss:0.172677+0.003966 test-mlogloss:0.585118+0.016497
## [15] train-mlogloss:0.164300+0.003263 test-mlogloss:0.588146+0.016159
## [16] train-mlogloss:0.158054+0.002748 test-mlogloss:0.590410+0.017050
## [17] train-mlogloss:0.150014+0.003645 test-mlogloss:0.593017+0.018375
## [18] train-mlogloss:0.144574+0.004401 test-mlogloss:0.594752+0.018411
## [19] train-mlogloss:0.139483+0.004250 test-mlogloss:0.596840+0.018994
## [20] train-mlogloss:0.132986+0.002814 test-mlogloss:0.599982+0.018435
## [21] train-mlogloss:0.128001+0.002386 test-mlogloss:0.602303+0.018870
## [22] train-mlogloss:0.122878+0.002298 test-mlogloss:0.604816+0.019056
## [23] train-mlogloss:0.118119+0.002340 test-mlogloss:0.606677+0.019839
## [24] train-mlogloss:0.113095+0.002174 test-mlogloss:0.610005+0.020400
## [25] train-mlogloss:0.108754+0.002396 test-mlogloss:0.613382+0.021071
## [26] train-mlogloss:0.104530+0.002740 test-mlogloss:0.617001+0.021757
## [27] train-mlogloss:0.100499+0.002418 test-mlogloss:0.619075+0.021828
## [28] train-mlogloss:0.097439+0.002759 test-mlogloss:0.621970+0.022453
## [29] train-mlogloss:0.094068+0.002466 test-mlogloss:0.623955+0.022995
## [30] train-mlogloss:0.090651+0.002110 test-mlogloss:0.627158+0.022976
## [31] train-mlogloss:0.087627+0.002308 test-mlogloss:0.629878+0.023542
## [32] train-mlogloss:0.084847+0.002157 test-mlogloss:0.632566+0.023549
## [33] train-mlogloss:0.082245+0.002239 test-mlogloss:0.635351+0.024049
## [34] train-mlogloss:0.079518+0.002263 test-mlogloss:0.638171+0.024268
## [35] train-mlogloss:0.077103+0.002210 test-mlogloss:0.640326+0.024478
## [36] train-mlogloss:0.074984+0.002077 test-mlogloss:0.642073+0.024134
## [37] train-mlogloss:0.072998+0.002008 test-mlogloss:0.644104+0.024318
## [38] train-mlogloss:0.071062+0.002077 test-mlogloss:0.646501+0.024689
## [39] train-mlogloss:0.069040+0.001929 test-mlogloss:0.648780+0.025367
## [40] train-mlogloss:0.067205+0.001853 test-mlogloss:0.650978+0.025149
## [41] train-mlogloss:0.065348+0.001732 test-mlogloss:0.652854+0.025337
## [42] train-mlogloss:0.064001+0.001717 test-mlogloss:0.654509+0.025110
## [43] train-mlogloss:0.062451+0.001660 test-mlogloss:0.656825+0.025868
## [44] train-mlogloss:0.060993+0.001612 test-mlogloss:0.659606+0.025755
## [45] train-mlogloss:0.059500+0.001509 test-mlogloss:0.661509+0.025991
## [46] train-mlogloss:0.058071+0.001455 test-mlogloss:0.663497+0.026301
## [47] train-mlogloss:0.056714+0.001398 test-mlogloss:0.665627+0.026064
## [48] train-mlogloss:0.055455+0.001228 test-mlogloss:0.667887+0.026485
## [49] train-mlogloss:0.054250+0.001075 test-mlogloss:0.668961+0.026601
## [50] train-mlogloss:0.053086+0.001062 test-mlogloss:0.670625+0.026620
## [51] train-mlogloss:0.052019+0.001046 test-mlogloss:0.672533+0.026078
## [52] train-mlogloss:0.050935+0.000973 test-mlogloss:0.674680+0.026700
## [53] train-mlogloss:0.049889+0.000888 test-mlogloss:0.675708+0.026977
## [54] train-mlogloss:0.048867+0.000903 test-mlogloss:0.677998+0.026673
## [55] train-mlogloss:0.047952+0.000879 test-mlogloss:0.679456+0.026407
## [56] train-mlogloss:0.047000+0.000845 test-mlogloss:0.681085+0.026230
## [57] train-mlogloss:0.046056+0.000814 test-mlogloss:0.682737+0.025835
## [58] train-mlogloss:0.045204+0.000863 test-mlogloss:0.684584+0.026427
## [59] train-mlogloss:0.044419+0.000753 test-mlogloss:0.686947+0.026686
## [60] train-mlogloss:0.043634+0.000778 test-mlogloss:0.688166+0.026719
## [61] train-mlogloss:0.042919+0.000747 test-mlogloss:0.690088+0.026701
## [62] train-mlogloss:0.042158+0.000715 test-mlogloss:0.691951+0.027355
## [63] train-mlogloss:0.041431+0.000672 test-mlogloss:0.693589+0.027735
## [64] train-mlogloss:0.040747+0.000642 test-mlogloss:0.695370+0.027405
## [65] train-mlogloss:0.040110+0.000572 test-mlogloss:0.696994+0.027242
## [66] train-mlogloss:0.039481+0.000567 test-mlogloss:0.698560+0.027066
## [67] train-mlogloss:0.038837+0.000576 test-mlogloss:0.700192+0.027496
## [68] train-mlogloss:0.038238+0.000608 test-mlogloss:0.702519+0.027359
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## [70] train-mlogloss:0.037136+0.000593 test-mlogloss:0.705176+0.027401
## [71] train-mlogloss:0.036626+0.000615 test-mlogloss:0.706414+0.027296
## [72] train-mlogloss:0.036061+0.000596 test-mlogloss:0.708021+0.027199
## [73] train-mlogloss:0.035564+0.000560 test-mlogloss:0.709197+0.027648
## [74] train-mlogloss:0.035052+0.000541 test-mlogloss:0.710566+0.027928
## [75] train-mlogloss:0.034566+0.000532 test-mlogloss:0.712285+0.027877
## [76] train-mlogloss:0.034090+0.000523 test-mlogloss:0.713852+0.028475
## [77] train-mlogloss:0.033650+0.000495 test-mlogloss:0.715737+0.028587
## [78] train-mlogloss:0.033239+0.000482 test-mlogloss:0.717356+0.028765
## [79] train-mlogloss:0.032780+0.000469 test-mlogloss:0.718620+0.028679
## [80] train-mlogloss:0.032379+0.000444 test-mlogloss:0.720377+0.028914
## [81] train-mlogloss:0.031984+0.000428 test-mlogloss:0.721684+0.029091
## [82] train-mlogloss:0.031579+0.000437 test-mlogloss:0.722343+0.028756
## [83] train-mlogloss:0.031223+0.000446 test-mlogloss:0.723392+0.028502
## [84] train-mlogloss:0.030869+0.000464 test-mlogloss:0.724425+0.028759
## [85] train-mlogloss:0.030526+0.000462 test-mlogloss:0.725580+0.028816
## [86] train-mlogloss:0.030154+0.000472 test-mlogloss:0.727224+0.028721
## [87] train-mlogloss:0.029799+0.000465 test-mlogloss:0.728562+0.028847
## [88] train-mlogloss:0.029469+0.000467 test-mlogloss:0.730055+0.029114
## [89] train-mlogloss:0.029113+0.000463 test-mlogloss:0.731196+0.029024
## [90] train-mlogloss:0.028792+0.000440 test-mlogloss:0.732569+0.029169
## [91] train-mlogloss:0.028468+0.000426 test-mlogloss:0.733908+0.029201
## [92] train-mlogloss:0.028154+0.000418 test-mlogloss:0.735921+0.029204
## [93] train-mlogloss:0.027862+0.000415 test-mlogloss:0.736744+0.029198
## [94] train-mlogloss:0.027566+0.000396 test-mlogloss:0.738583+0.028923
## [95] train-mlogloss:0.027270+0.000387 test-mlogloss:0.739840+0.029065
## [96] train-mlogloss:0.026986+0.000374 test-mlogloss:0.740926+0.028954
## [97] train-mlogloss:0.026725+0.000367 test-mlogloss:0.741919+0.029481
## [98] train-mlogloss:0.026474+0.000383 test-mlogloss:0.743006+0.029514
## [99] train-mlogloss:0.026210+0.000371 test-mlogloss:0.744165+0.029645
## [100] train-mlogloss:0.025957+0.000365 test-mlogloss:0.745334+0.029136
## [101] train-mlogloss:0.025708+0.000370 test-mlogloss:0.746514+0.029063
## [102] train-mlogloss:0.025454+0.000363 test-mlogloss:0.747708+0.029217
## [103] train-mlogloss:0.025213+0.000360 test-mlogloss:0.748724+0.029031
## [104] train-mlogloss:0.024982+0.000349 test-mlogloss:0.749710+0.029070
## [105] train-mlogloss:0.024753+0.000325 test-mlogloss:0.750675+0.028632
## [106] train-mlogloss:0.024528+0.000302 test-mlogloss:0.751998+0.028668
## [107] train-mlogloss:0.024295+0.000293 test-mlogloss:0.752941+0.028643
## [108] train-mlogloss:0.024090+0.000289 test-mlogloss:0.753895+0.028395
## [109] train-mlogloss:0.023891+0.000305 test-mlogloss:0.754510+0.028672
## [110] train-mlogloss:0.023695+0.000299 test-mlogloss:0.754917+0.028262
## [111] train-mlogloss:0.023500+0.000301 test-mlogloss:0.756039+0.028411
## [112] train-mlogloss:0.023305+0.000298 test-mlogloss:0.757404+0.029135
## [113] train-mlogloss:0.023101+0.000275 test-mlogloss:0.758131+0.029095
## [114] train-mlogloss:0.022894+0.000268 test-mlogloss:0.759441+0.029252
## [115] train-mlogloss:0.022710+0.000273 test-mlogloss:0.760344+0.029321
## [116] train-mlogloss:0.022524+0.000265 test-mlogloss:0.761734+0.029272
## [117] train-mlogloss:0.022350+0.000260 test-mlogloss:0.762666+0.028839
## [118] train-mlogloss:0.022179+0.000260 test-mlogloss:0.763693+0.029038
## [119] train-mlogloss:0.022000+0.000257 test-mlogloss:0.763914+0.028988
## [120] train-mlogloss:0.021819+0.000257 test-mlogloss:0.764995+0.029345
## [121] train-mlogloss:0.021661+0.000261 test-mlogloss:0.765951+0.029786
## [122] train-mlogloss:0.021495+0.000263 test-mlogloss:0.766867+0.029692
## [123] train-mlogloss:0.021334+0.000260 test-mlogloss:0.767652+0.029627
## [124] train-mlogloss:0.021184+0.000259 test-mlogloss:0.768367+0.029880
## [125] train-mlogloss:0.021017+0.000259 test-mlogloss:0.769073+0.030343
## [126] train-mlogloss:0.020867+0.000258 test-mlogloss:0.770150+0.030575
## [127] train-mlogloss:0.020717+0.000264 test-mlogloss:0.771283+0.030536
## [128] train-mlogloss:0.020562+0.000263 test-mlogloss:0.772208+0.030253
## [129] train-mlogloss:0.020414+0.000261 test-mlogloss:0.772986+0.029905
## [130] train-mlogloss:0.020275+0.000264 test-mlogloss:0.774022+0.030303
## [131] train-mlogloss:0.020136+0.000264 test-mlogloss:0.774722+0.030101
## [132] train-mlogloss:0.020000+0.000261 test-mlogloss:0.775472+0.030548
## [133] train-mlogloss:0.019870+0.000262 test-mlogloss:0.776296+0.030477
## [134] train-mlogloss:0.019732+0.000265 test-mlogloss:0.776759+0.030394
## [135] train-mlogloss:0.019596+0.000263 test-mlogloss:0.778172+0.030464
## [136] train-mlogloss:0.019459+0.000256 test-mlogloss:0.779174+0.030731
## [137] train-mlogloss:0.019330+0.000250 test-mlogloss:0.780001+0.030604
## [138] train-mlogloss:0.019200+0.000246 test-mlogloss:0.780445+0.030597
## [139] train-mlogloss:0.019071+0.000246 test-mlogloss:0.781464+0.031009
## [140] train-mlogloss:0.018949+0.000245 test-mlogloss:0.782441+0.031207
## [141] train-mlogloss:0.018833+0.000239 test-mlogloss:0.783646+0.031462
## [142] train-mlogloss:0.018713+0.000233 test-mlogloss:0.784616+0.031352
## [143] train-mlogloss:0.018602+0.000233 test-mlogloss:0.785289+0.031370
## [144] train-mlogloss:0.018491+0.000234 test-mlogloss:0.785712+0.031206
## [145] train-mlogloss:0.018379+0.000227 test-mlogloss:0.786658+0.031063
## [146] train-mlogloss:0.018265+0.000232 test-mlogloss:0.787158+0.030813
## [147] train-mlogloss:0.018151+0.000227 test-mlogloss:0.788142+0.031173
## [148] train-mlogloss:0.018040+0.000216 test-mlogloss:0.788921+0.031285
## [149] train-mlogloss:0.017936+0.000207 test-mlogloss:0.789839+0.031457
## [150] train-mlogloss:0.017827+0.000207 test-mlogloss:0.790482+0.031349
## [151] train-mlogloss:0.017725+0.000198 test-mlogloss:0.791270+0.031525
## [152] train-mlogloss:0.017624+0.000198 test-mlogloss:0.792163+0.031718
## [153] train-mlogloss:0.017519+0.000200 test-mlogloss:0.792876+0.031516
## [154] train-mlogloss:0.017423+0.000202 test-mlogloss:0.793850+0.031826
## [155] train-mlogloss:0.017323+0.000198 test-mlogloss:0.794808+0.031979
## [156] train-mlogloss:0.017226+0.000197 test-mlogloss:0.795601+0.032104
## [157] train-mlogloss:0.017132+0.000199 test-mlogloss:0.796135+0.032517
## [158] train-mlogloss:0.017042+0.000200 test-mlogloss:0.796410+0.032679
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## [160] train-mlogloss:0.016854+0.000194 test-mlogloss:0.797887+0.032834
## [161] train-mlogloss:0.016762+0.000188 test-mlogloss:0.798232+0.032816
## [162] train-mlogloss:0.016671+0.000185 test-mlogloss:0.798923+0.033019
## [163] train-mlogloss:0.016584+0.000171 test-mlogloss:0.799467+0.032844
## [164] train-mlogloss:0.016492+0.000170 test-mlogloss:0.800203+0.032892
## [165] train-mlogloss:0.016404+0.000169 test-mlogloss:0.800792+0.032742
## [166] train-mlogloss:0.016321+0.000167 test-mlogloss:0.801216+0.032832
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## [170] train-mlogloss:0.015994+0.000158 test-mlogloss:0.803547+0.032121
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## [172] train-mlogloss:0.015838+0.000157 test-mlogloss:0.804877+0.032245
## [173] train-mlogloss:0.015760+0.000158 test-mlogloss:0.805584+0.032875
## [174] train-mlogloss:0.015684+0.000160 test-mlogloss:0.806206+0.032751
## [175] train-mlogloss:0.015612+0.000163 test-mlogloss:0.806954+0.032643
## [176] train-mlogloss:0.015541+0.000164 test-mlogloss:0.807474+0.032620
## [177] train-mlogloss:0.015462+0.000163 test-mlogloss:0.807631+0.032449
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## [180] train-mlogloss:0.015241+0.000163 test-mlogloss:0.809257+0.032526
## [181] train-mlogloss:0.015170+0.000162 test-mlogloss:0.810038+0.032749
## [182] train-mlogloss:0.015101+0.000159 test-mlogloss:0.810520+0.032727
## [183] train-mlogloss:0.015031+0.000162 test-mlogloss:0.811069+0.032847
## [184] train-mlogloss:0.014966+0.000157 test-mlogloss:0.811493+0.032658
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## [186] train-mlogloss:0.014831+0.000152 test-mlogloss:0.812320+0.032409
## [187] train-mlogloss:0.014768+0.000155 test-mlogloss:0.812975+0.032548
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## [190] train-mlogloss:0.014576+0.000154 test-mlogloss:0.814451+0.032710
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## [192] train-mlogloss:0.014443+0.000155 test-mlogloss:0.815766+0.032850
## [193] train-mlogloss:0.014385+0.000153 test-mlogloss:0.816487+0.032950
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## [195] train-mlogloss:0.014255+0.000146 test-mlogloss:0.817731+0.032976
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## [198] train-mlogloss:0.014075+0.000143 test-mlogloss:0.819120+0.032717
## [199] train-mlogloss:0.014019+0.000140 test-mlogloss:0.819933+0.032998
## [200] train-mlogloss:0.013963+0.000142 test-mlogloss:0.820291+0.032810
## [201] train-mlogloss:0.013908+0.000141 test-mlogloss:0.821175+0.032847
## [202] train-mlogloss:0.013853+0.000142 test-mlogloss:0.821228+0.032761
## [203] train-mlogloss:0.013796+0.000138 test-mlogloss:0.821757+0.032890
## [204] train-mlogloss:0.013740+0.000136 test-mlogloss:0.822408+0.033113
## [205] train-mlogloss:0.013688+0.000134 test-mlogloss:0.822947+0.033108
## [206] train-mlogloss:0.013635+0.000133 test-mlogloss:0.823286+0.033192
## [207] train-mlogloss:0.013582+0.000130 test-mlogloss:0.823668+0.033324
## [208] train-mlogloss:0.013530+0.000128 test-mlogloss:0.824304+0.033440
## [209] train-mlogloss:0.013478+0.000128 test-mlogloss:0.824793+0.033359
## [210] train-mlogloss:0.013426+0.000127 test-mlogloss:0.825096+0.033143
## [211] train-mlogloss:0.013376+0.000127 test-mlogloss:0.825748+0.033389
## [212] train-mlogloss:0.013327+0.000128 test-mlogloss:0.826613+0.033349
## [213] train-mlogloss:0.013277+0.000127 test-mlogloss:0.827062+0.033222
## [214] train-mlogloss:0.013227+0.000127 test-mlogloss:0.827071+0.033434
## [215] train-mlogloss:0.013180+0.000127 test-mlogloss:0.827337+0.034072
## [216] train-mlogloss:0.013133+0.000124 test-mlogloss:0.827750+0.033894
## [217] train-mlogloss:0.013085+0.000124 test-mlogloss:0.828201+0.033983
## [218] train-mlogloss:0.013037+0.000123 test-mlogloss:0.828819+0.034554
## [219] train-mlogloss:0.012986+0.000122 test-mlogloss:0.829272+0.034762
## [220] train-mlogloss:0.012942+0.000123 test-mlogloss:0.829726+0.034969
## [221] train-mlogloss:0.012894+0.000124 test-mlogloss:0.830172+0.034819
## [222] train-mlogloss:0.012849+0.000122 test-mlogloss:0.830283+0.034834
## [223] train-mlogloss:0.012806+0.000122 test-mlogloss:0.830691+0.034914
## [224] train-mlogloss:0.012763+0.000117 test-mlogloss:0.831294+0.034610
## [225] train-mlogloss:0.012717+0.000119 test-mlogloss:0.831633+0.034869
## [226] train-mlogloss:0.012673+0.000117 test-mlogloss:0.832005+0.034815
## [227] train-mlogloss:0.012628+0.000113 test-mlogloss:0.832664+0.034694
## [228] train-mlogloss:0.012587+0.000111 test-mlogloss:0.833303+0.034800
## [229] train-mlogloss:0.012543+0.000112 test-mlogloss:0.833883+0.035090
## [230] train-mlogloss:0.012499+0.000114 test-mlogloss:0.834507+0.035064
## [231] train-mlogloss:0.012459+0.000114 test-mlogloss:0.835113+0.035284
## [232] train-mlogloss:0.012415+0.000116 test-mlogloss:0.835630+0.035524
## [233] train-mlogloss:0.012372+0.000113 test-mlogloss:0.836027+0.035590
## [234] train-mlogloss:0.012333+0.000112 test-mlogloss:0.836240+0.035913
## [235] train-mlogloss:0.012290+0.000111 test-mlogloss:0.836691+0.036049
## [236] train-mlogloss:0.012250+0.000110 test-mlogloss:0.837094+0.036429
## [237] train-mlogloss:0.012208+0.000107 test-mlogloss:0.837733+0.036486
## [238] train-mlogloss:0.012170+0.000107 test-mlogloss:0.837653+0.036279
## [239] train-mlogloss:0.012131+0.000108 test-mlogloss:0.837802+0.036097
## [240] train-mlogloss:0.012089+0.000109 test-mlogloss:0.838425+0.036153
## [241] train-mlogloss:0.012050+0.000108 test-mlogloss:0.839072+0.036238
## [242] train-mlogloss:0.012013+0.000107 test-mlogloss:0.839605+0.036322
## [243] train-mlogloss:0.011977+0.000105 test-mlogloss:0.839495+0.036383
## [244] train-mlogloss:0.011938+0.000106 test-mlogloss:0.839782+0.036406
## [245] train-mlogloss:0.011900+0.000104 test-mlogloss:0.840055+0.036451
## [246] train-mlogloss:0.011862+0.000105 test-mlogloss:0.840306+0.036602
## [247] train-mlogloss:0.011821+0.000104 test-mlogloss:0.841031+0.036435
## [248] train-mlogloss:0.011785+0.000101 test-mlogloss:0.841493+0.036613
## [249] train-mlogloss:0.011749+0.000100 test-mlogloss:0.841948+0.036415
## [250] train-mlogloss:0.011710+0.000099 test-mlogloss:0.842538+0.036534
## [251] train-mlogloss:0.011671+0.000098 test-mlogloss:0.842940+0.036784
## [252] train-mlogloss:0.011634+0.000098 test-mlogloss:0.843072+0.036705
## [253] train-mlogloss:0.011598+0.000097 test-mlogloss:0.843755+0.036768
## [254] train-mlogloss:0.011563+0.000095 test-mlogloss:0.844013+0.036667
## [255] train-mlogloss:0.011528+0.000096 test-mlogloss:0.845074+0.036880
## [256] train-mlogloss:0.011491+0.000094 test-mlogloss:0.845341+0.036873
## [257] train-mlogloss:0.011458+0.000095 test-mlogloss:0.845531+0.036762
## [258] train-mlogloss:0.011424+0.000092 test-mlogloss:0.845866+0.036783
## [259] train-mlogloss:0.011393+0.000094 test-mlogloss:0.846549+0.036708
## [260] train-mlogloss:0.011359+0.000094 test-mlogloss:0.846881+0.036509
## [261] train-mlogloss:0.011326+0.000091 test-mlogloss:0.847507+0.036796
## [262] train-mlogloss:0.011292+0.000090 test-mlogloss:0.847759+0.036857
## [263] train-mlogloss:0.011258+0.000089 test-mlogloss:0.848219+0.036639
## [264] train-mlogloss:0.011227+0.000087 test-mlogloss:0.848637+0.036768
## [265] train-mlogloss:0.011194+0.000086 test-mlogloss:0.848988+0.036808
## [266] train-mlogloss:0.011161+0.000084 test-mlogloss:0.849068+0.036677
## [267] train-mlogloss:0.011129+0.000082 test-mlogloss:0.849362+0.036897
## [268] train-mlogloss:0.011097+0.000082 test-mlogloss:0.849956+0.037062
## [269] train-mlogloss:0.011066+0.000081 test-mlogloss:0.850444+0.036947
## [270] train-mlogloss:0.011033+0.000078 test-mlogloss:0.850783+0.036667
## [271] train-mlogloss:0.011005+0.000078 test-mlogloss:0.850971+0.036582
## [272] train-mlogloss:0.010974+0.000078 test-mlogloss:0.851589+0.036756
## [273] train-mlogloss:0.010942+0.000079 test-mlogloss:0.852116+0.036701
## [274] train-mlogloss:0.010913+0.000078 test-mlogloss:0.852363+0.036585
## [275] train-mlogloss:0.010882+0.000076 test-mlogloss:0.852534+0.037036
## [276] train-mlogloss:0.010853+0.000076 test-mlogloss:0.853038+0.037011
## [277] train-mlogloss:0.010823+0.000075 test-mlogloss:0.853586+0.036593
## [278] train-mlogloss:0.010795+0.000072 test-mlogloss:0.853969+0.036630
## [279] train-mlogloss:0.010765+0.000072 test-mlogloss:0.854386+0.036603
## [280] train-mlogloss:0.010737+0.000073 test-mlogloss:0.854696+0.036358
## [281] train-mlogloss:0.010709+0.000071 test-mlogloss:0.855134+0.036446
## [282] train-mlogloss:0.010680+0.000067 test-mlogloss:0.855598+0.036371
## [283] train-mlogloss:0.010651+0.000068 test-mlogloss:0.855762+0.036298
## [284] train-mlogloss:0.010625+0.000066 test-mlogloss:0.856137+0.036486
## [285] train-mlogloss:0.010592+0.000063 test-mlogloss:0.856459+0.036667
## [286] train-mlogloss:0.010564+0.000063 test-mlogloss:0.856785+0.036636
## [287] train-mlogloss:0.010537+0.000063 test-mlogloss:0.857266+0.036428
## [288] train-mlogloss:0.010509+0.000064 test-mlogloss:0.857523+0.036801
## [289] train-mlogloss:0.010478+0.000065 test-mlogloss:0.858058+0.036258
## [290] train-mlogloss:0.010451+0.000062 test-mlogloss:0.858227+0.036446
## [291] train-mlogloss:0.010425+0.000063 test-mlogloss:0.858515+0.036480
## [292] train-mlogloss:0.010396+0.000063 test-mlogloss:0.859021+0.036757
## [293] train-mlogloss:0.010369+0.000063 test-mlogloss:0.859482+0.036734
## [294] train-mlogloss:0.010344+0.000061 test-mlogloss:0.859968+0.036579
## [295] train-mlogloss:0.010317+0.000061 test-mlogloss:0.860351+0.036380
## [296] train-mlogloss:0.010291+0.000061 test-mlogloss:0.860757+0.036264
## [297] train-mlogloss:0.010265+0.000060 test-mlogloss:0.861092+0.036101
## [298] train-mlogloss:0.010239+0.000060 test-mlogloss:0.861476+0.036216
## [299] train-mlogloss:0.010213+0.000060 test-mlogloss:0.861690+0.035917
## [300] train-mlogloss:0.010186+0.000057 test-mlogloss:0.861963+0.036053
## [301] train-mlogloss:0.010162+0.000054 test-mlogloss:0.862266+0.036112
## [302] train-mlogloss:0.010135+0.000052 test-mlogloss:0.862227+0.036135
## [303] train-mlogloss:0.010112+0.000052 test-mlogloss:0.862858+0.036149
## [304] train-mlogloss:0.010086+0.000053 test-mlogloss:0.863392+0.036371
## [305] train-mlogloss:0.010064+0.000053 test-mlogloss:0.863666+0.036385
## [306] train-mlogloss:0.010042+0.000052 test-mlogloss:0.864152+0.036248
## [307] train-mlogloss:0.010017+0.000050 test-mlogloss:0.864447+0.036155
## [308] train-mlogloss:0.009992+0.000048 test-mlogloss:0.864521+0.036142
## [309] train-mlogloss:0.009969+0.000048 test-mlogloss:0.864612+0.036349
## [310] train-mlogloss:0.009943+0.000049 test-mlogloss:0.864825+0.036169
## [311] train-mlogloss:0.009919+0.000050 test-mlogloss:0.865269+0.036072
## [312] train-mlogloss:0.009896+0.000052 test-mlogloss:0.865635+0.036378
## [313] train-mlogloss:0.009873+0.000052 test-mlogloss:0.866022+0.036530
## [314] train-mlogloss:0.009850+0.000052 test-mlogloss:0.866387+0.036710
## [315] train-mlogloss:0.009827+0.000052 test-mlogloss:0.867084+0.036520
## [316] train-mlogloss:0.009803+0.000053 test-mlogloss:0.867291+0.036792
## [317] train-mlogloss:0.009781+0.000051 test-mlogloss:0.867708+0.036808
## [318] train-mlogloss:0.009759+0.000051 test-mlogloss:0.867956+0.036880
## [319] train-mlogloss:0.009737+0.000050 test-mlogloss:0.868364+0.037001
## [320] train-mlogloss:0.009714+0.000050 test-mlogloss:0.868711+0.036941
## [321] train-mlogloss:0.009692+0.000051 test-mlogloss:0.869022+0.036865
## [322] train-mlogloss:0.009671+0.000050 test-mlogloss:0.869139+0.036883
## [323] train-mlogloss:0.009649+0.000051 test-mlogloss:0.869635+0.036874
## [324] train-mlogloss:0.009627+0.000052 test-mlogloss:0.870000+0.036732
## [325] train-mlogloss:0.009604+0.000052 test-mlogloss:0.870102+0.036683
## [326] train-mlogloss:0.009583+0.000052 test-mlogloss:0.870394+0.036860
## [327] train-mlogloss:0.009563+0.000051 test-mlogloss:0.870728+0.036654
## [328] train-mlogloss:0.009541+0.000050 test-mlogloss:0.870823+0.036601
## [329] train-mlogloss:0.009518+0.000050 test-mlogloss:0.871407+0.036614
## [330] train-mlogloss:0.009498+0.000050 test-mlogloss:0.871532+0.036608
## [331] train-mlogloss:0.009475+0.000051 test-mlogloss:0.871848+0.036675
## [332] train-mlogloss:0.009455+0.000051 test-mlogloss:0.872483+0.036494
## [333] train-mlogloss:0.009434+0.000052 test-mlogloss:0.873130+0.036525
## [334] train-mlogloss:0.009414+0.000051 test-mlogloss:0.873296+0.036593
## [335] train-mlogloss:0.009392+0.000052 test-mlogloss:0.873649+0.036522
## [336] train-mlogloss:0.009373+0.000052 test-mlogloss:0.873979+0.036595
## [337] train-mlogloss:0.009353+0.000052 test-mlogloss:0.874611+0.036568
## [338] train-mlogloss:0.009333+0.000049 test-mlogloss:0.874972+0.036637
## [339] train-mlogloss:0.009314+0.000050 test-mlogloss:0.875076+0.036726
## [340] train-mlogloss:0.009295+0.000052 test-mlogloss:0.875277+0.036696
## [341] train-mlogloss:0.009275+0.000052 test-mlogloss:0.875536+0.036548
## [342] train-mlogloss:0.009256+0.000051 test-mlogloss:0.875654+0.036532
## [343] train-mlogloss:0.009236+0.000051 test-mlogloss:0.875636+0.036429
## [344] train-mlogloss:0.009218+0.000052 test-mlogloss:0.875804+0.036401
## [345] train-mlogloss:0.009199+0.000052 test-mlogloss:0.876069+0.036660
## [346] train-mlogloss:0.009179+0.000053 test-mlogloss:0.876450+0.036586
## [347] train-mlogloss:0.009160+0.000053 test-mlogloss:0.876716+0.036923
## [348] train-mlogloss:0.009141+0.000054 test-mlogloss:0.877040+0.036882
## [349] train-mlogloss:0.009123+0.000054 test-mlogloss:0.877375+0.036882
## [350] train-mlogloss:0.009104+0.000054 test-mlogloss:0.877688+0.037320
## [351] train-mlogloss:0.009085+0.000055 test-mlogloss:0.877973+0.037017
## [352] train-mlogloss:0.009066+0.000055 test-mlogloss:0.878405+0.037251
## [353] train-mlogloss:0.009046+0.000055 test-mlogloss:0.878661+0.037269
## [354] train-mlogloss:0.009028+0.000053 test-mlogloss:0.878961+0.037366
## [355] train-mlogloss:0.009013+0.000051 test-mlogloss:0.879315+0.037046
## [356] train-mlogloss:0.008993+0.000053 test-mlogloss:0.879564+0.037016
## [357] train-mlogloss:0.008976+0.000054 test-mlogloss:0.879938+0.036991
## [358] train-mlogloss:0.008958+0.000055 test-mlogloss:0.880121+0.037095
## [359] train-mlogloss:0.008940+0.000053 test-mlogloss:0.880436+0.037220
## [360] train-mlogloss:0.008922+0.000054 test-mlogloss:0.880796+0.037342
## [361] train-mlogloss:0.008905+0.000055 test-mlogloss:0.881174+0.037290
## [362] train-mlogloss:0.008886+0.000055 test-mlogloss:0.881461+0.037128
## [363] train-mlogloss:0.008868+0.000056 test-mlogloss:0.881670+0.036910
## [364] train-mlogloss:0.008853+0.000056 test-mlogloss:0.882044+0.036751
## [365] train-mlogloss:0.008836+0.000057 test-mlogloss:0.882333+0.036975
## [366] train-mlogloss:0.008817+0.000057 test-mlogloss:0.882790+0.037205
## [367] train-mlogloss:0.008801+0.000057 test-mlogloss:0.883033+0.037326
## [368] train-mlogloss:0.008785+0.000056 test-mlogloss:0.883440+0.037182
## [369] train-mlogloss:0.008768+0.000056 test-mlogloss:0.883755+0.037214
## [370] train-mlogloss:0.008751+0.000057 test-mlogloss:0.884352+0.037299
## [371] train-mlogloss:0.008733+0.000055 test-mlogloss:0.884631+0.037018
## [372] train-mlogloss:0.008717+0.000055 test-mlogloss:0.885071+0.037025
## [373] train-mlogloss:0.008699+0.000056 test-mlogloss:0.885561+0.036823
## [374] train-mlogloss:0.008684+0.000055 test-mlogloss:0.885710+0.037078
## [375] train-mlogloss:0.008669+0.000054 test-mlogloss:0.885848+0.037097
## [376] train-mlogloss:0.008652+0.000052 test-mlogloss:0.886090+0.037212
## [377] train-mlogloss:0.008636+0.000053 test-mlogloss:0.886168+0.037067
## [378] train-mlogloss:0.008619+0.000052 test-mlogloss:0.886479+0.037202
## [379] train-mlogloss:0.008604+0.000052 test-mlogloss:0.886632+0.037173
## [380] train-mlogloss:0.008590+0.000052 test-mlogloss:0.886919+0.037105
## [381] train-mlogloss:0.008574+0.000053 test-mlogloss:0.887269+0.037109
## [382] train-mlogloss:0.008559+0.000053 test-mlogloss:0.887580+0.037232
## [383] train-mlogloss:0.008543+0.000054 test-mlogloss:0.887662+0.037272
## [384] train-mlogloss:0.008525+0.000055 test-mlogloss:0.887917+0.037402
## [385] train-mlogloss:0.008510+0.000055 test-mlogloss:0.888065+0.037446
## [386] train-mlogloss:0.008495+0.000055 test-mlogloss:0.888311+0.037450
## [387] train-mlogloss:0.008480+0.000056 test-mlogloss:0.888359+0.037458
## [388] train-mlogloss:0.008464+0.000057 test-mlogloss:0.888640+0.037583
## [389] train-mlogloss:0.008449+0.000058 test-mlogloss:0.888765+0.037636
## [390] train-mlogloss:0.008433+0.000059 test-mlogloss:0.889117+0.037633
## [391] train-mlogloss:0.008419+0.000057 test-mlogloss:0.889637+0.037636
## [392] train-mlogloss:0.008403+0.000057 test-mlogloss:0.889864+0.037623
## [393] train-mlogloss:0.008388+0.000057 test-mlogloss:0.890015+0.037868
## [394] train-mlogloss:0.008372+0.000057 test-mlogloss:0.890159+0.037973
## [395] train-mlogloss:0.008357+0.000055 test-mlogloss:0.890387+0.038049
## [396] train-mlogloss:0.008342+0.000053 test-mlogloss:0.890479+0.037937
## [397] train-mlogloss:0.008328+0.000053 test-mlogloss:0.890502+0.037978
## [398] train-mlogloss:0.008314+0.000052 test-mlogloss:0.891015+0.038089
## [399] train-mlogloss:0.008300+0.000052 test-mlogloss:0.891233+0.038149
## [400] train-mlogloss:0.008286+0.000053 test-mlogloss:0.891632+0.038241
## [401] train-mlogloss:0.008271+0.000054 test-mlogloss:0.892053+0.038245
## [402] train-mlogloss:0.008258+0.000054 test-mlogloss:0.892391+0.038250
## [403] train-mlogloss:0.008245+0.000054 test-mlogloss:0.892440+0.038250
## [404] train-mlogloss:0.008231+0.000055 test-mlogloss:0.892766+0.038176
## [405] train-mlogloss:0.008218+0.000054 test-mlogloss:0.893365+0.038137
## [406] train-mlogloss:0.008204+0.000054 test-mlogloss:0.893572+0.037977
## [407] train-mlogloss:0.008189+0.000054 test-mlogloss:0.893493+0.037481
## [408] train-mlogloss:0.008175+0.000054 test-mlogloss:0.893657+0.037309
## [409] train-mlogloss:0.008161+0.000054 test-mlogloss:0.893955+0.037343
## [410] train-mlogloss:0.008148+0.000054 test-mlogloss:0.894217+0.037516
## [411] train-mlogloss:0.008133+0.000053 test-mlogloss:0.894426+0.037455
## [412] train-mlogloss:0.008120+0.000053 test-mlogloss:0.894659+0.037415
## [413] train-mlogloss:0.008106+0.000052 test-mlogloss:0.894926+0.037490
## [414] train-mlogloss:0.008092+0.000051 test-mlogloss:0.895253+0.037659
## [415] train-mlogloss:0.008080+0.000051 test-mlogloss:0.895558+0.037592
## [416] train-mlogloss:0.008067+0.000052 test-mlogloss:0.896103+0.037854
## [417] train-mlogloss:0.008054+0.000051 test-mlogloss:0.896317+0.037753
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## [419] train-mlogloss:0.008027+0.000048 test-mlogloss:0.896929+0.037961
## [420] train-mlogloss:0.008014+0.000047 test-mlogloss:0.897071+0.038054
## [421] train-mlogloss:0.008001+0.000047 test-mlogloss:0.897286+0.038069
## [422] train-mlogloss:0.007988+0.000048 test-mlogloss:0.897480+0.038085
## [423] train-mlogloss:0.007975+0.000049 test-mlogloss:0.897643+0.038025
## [424] train-mlogloss:0.007961+0.000049 test-mlogloss:0.897750+0.037945
## [425] train-mlogloss:0.007949+0.000050 test-mlogloss:0.897762+0.038056
## [426] train-mlogloss:0.007935+0.000049 test-mlogloss:0.898074+0.038098
## [427] train-mlogloss:0.007922+0.000049 test-mlogloss:0.898273+0.038107
## [428] train-mlogloss:0.007907+0.000049 test-mlogloss:0.898467+0.038269
## [429] train-mlogloss:0.007894+0.000050 test-mlogloss:0.898931+0.038277
## [430] train-mlogloss:0.007882+0.000049 test-mlogloss:0.899253+0.038382
## [431] train-mlogloss:0.007868+0.000050 test-mlogloss:0.899650+0.038499
## [432] train-mlogloss:0.007854+0.000050 test-mlogloss:0.899883+0.038434
## [433] train-mlogloss:0.007844+0.000051 test-mlogloss:0.900207+0.038519
## [434] train-mlogloss:0.007830+0.000050 test-mlogloss:0.900557+0.038537
## [435] train-mlogloss:0.007818+0.000051 test-mlogloss:0.900648+0.038370
## [436] train-mlogloss:0.007804+0.000052 test-mlogloss:0.900831+0.038489
## [437] train-mlogloss:0.007792+0.000052 test-mlogloss:0.901110+0.038641
## [438] train-mlogloss:0.007779+0.000051 test-mlogloss:0.901530+0.038583
## [439] train-mlogloss:0.007768+0.000051 test-mlogloss:0.901803+0.038573
## [440] train-mlogloss:0.007756+0.000050 test-mlogloss:0.901768+0.038886
## [441] train-mlogloss:0.007744+0.000049 test-mlogloss:0.902166+0.038867
## [442] train-mlogloss:0.007733+0.000049 test-mlogloss:0.902572+0.039075
## [443] train-mlogloss:0.007721+0.000049 test-mlogloss:0.902831+0.038675
## [444] train-mlogloss:0.007709+0.000049 test-mlogloss:0.903144+0.038872
## [445] train-mlogloss:0.007697+0.000049 test-mlogloss:0.903487+0.038993
## [446] train-mlogloss:0.007685+0.000050 test-mlogloss:0.903769+0.039242
## [447] train-mlogloss:0.007672+0.000050 test-mlogloss:0.904169+0.039358
## [448] train-mlogloss:0.007660+0.000051 test-mlogloss:0.904599+0.039237
## [449] train-mlogloss:0.007647+0.000053 test-mlogloss:0.904563+0.039137
## [450] train-mlogloss:0.007636+0.000053 test-mlogloss:0.904881+0.038958
## [451] train-mlogloss:0.007624+0.000053 test-mlogloss:0.905231+0.039007
## [452] train-mlogloss:0.007613+0.000054 test-mlogloss:0.905547+0.038978
## [453] train-mlogloss:0.007601+0.000054 test-mlogloss:0.905705+0.039126
## [454] train-mlogloss:0.007590+0.000055 test-mlogloss:0.905949+0.039540
## [455] train-mlogloss:0.007579+0.000054 test-mlogloss:0.906034+0.039481
## [456] train-mlogloss:0.007567+0.000054 test-mlogloss:0.906352+0.039516
## [457] train-mlogloss:0.007555+0.000055 test-mlogloss:0.906596+0.039842
## [458] train-mlogloss:0.007542+0.000057 test-mlogloss:0.907024+0.039895
## [459] train-mlogloss:0.007530+0.000057 test-mlogloss:0.907404+0.039699
## [460] train-mlogloss:0.007520+0.000056 test-mlogloss:0.907572+0.039573
## [461] train-mlogloss:0.007508+0.000055 test-mlogloss:0.907732+0.039375
## [462] train-mlogloss:0.007497+0.000054 test-mlogloss:0.908062+0.039366
## [463] train-mlogloss:0.007486+0.000053 test-mlogloss:0.908292+0.039050
## [464] train-mlogloss:0.007474+0.000052 test-mlogloss:0.908534+0.038921
## [465] train-mlogloss:0.007462+0.000052 test-mlogloss:0.908877+0.038791
## [466] train-mlogloss:0.007451+0.000052 test-mlogloss:0.909063+0.038883
## [467] train-mlogloss:0.007441+0.000051 test-mlogloss:0.909489+0.038992
## [468] train-mlogloss:0.007430+0.000050 test-mlogloss:0.909585+0.038879
## [469] train-mlogloss:0.007419+0.000050 test-mlogloss:0.909987+0.038696
## [470] train-mlogloss:0.007409+0.000051 test-mlogloss:0.910140+0.038858
## [471] train-mlogloss:0.007399+0.000051 test-mlogloss:0.910239+0.039076
## [472] train-mlogloss:0.007388+0.000050 test-mlogloss:0.910336+0.038868
## [473] train-mlogloss:0.007378+0.000051 test-mlogloss:0.910397+0.039115
## [474] train-mlogloss:0.007368+0.000051 test-mlogloss:0.910701+0.039388
## [475] train-mlogloss:0.007357+0.000051 test-mlogloss:0.910997+0.039425
## [476] train-mlogloss:0.007346+0.000052 test-mlogloss:0.911018+0.039485
## [477] train-mlogloss:0.007336+0.000052 test-mlogloss:0.911477+0.039460
## [478] train-mlogloss:0.007325+0.000052 test-mlogloss:0.911639+0.039544
## [479] train-mlogloss:0.007315+0.000051 test-mlogloss:0.911827+0.039766
## [480] train-mlogloss:0.007305+0.000051 test-mlogloss:0.912048+0.039971
## [481] train-mlogloss:0.007294+0.000051 test-mlogloss:0.912262+0.039917
## [482] train-mlogloss:0.007284+0.000051 test-mlogloss:0.912429+0.039987
## [483] train-mlogloss:0.007274+0.000051 test-mlogloss:0.912939+0.039923
## [484] train-mlogloss:0.007262+0.000051 test-mlogloss:0.913386+0.039959
## [485] train-mlogloss:0.007252+0.000050 test-mlogloss:0.913670+0.040025
## [486] train-mlogloss:0.007242+0.000050 test-mlogloss:0.914204+0.040087
## [487] train-mlogloss:0.007232+0.000050 test-mlogloss:0.914631+0.039976
## [488] train-mlogloss:0.007222+0.000050 test-mlogloss:0.914645+0.040246
## [489] train-mlogloss:0.007213+0.000050 test-mlogloss:0.914927+0.039989
## [490] train-mlogloss:0.007203+0.000049 test-mlogloss:0.914969+0.040305
## [491] train-mlogloss:0.007193+0.000050 test-mlogloss:0.915459+0.040458
## [492] train-mlogloss:0.007183+0.000049 test-mlogloss:0.915778+0.040474
## [493] train-mlogloss:0.007174+0.000049 test-mlogloss:0.915920+0.040520
## [494] train-mlogloss:0.007165+0.000049 test-mlogloss:0.916039+0.040500
## [495] train-mlogloss:0.007156+0.000049 test-mlogloss:0.916320+0.040407
## [496] train-mlogloss:0.007146+0.000048 test-mlogloss:0.916690+0.040488
## [497] train-mlogloss:0.007137+0.000049 test-mlogloss:0.917183+0.040470
## [498] train-mlogloss:0.007128+0.000049 test-mlogloss:0.917464+0.040455
## [499] train-mlogloss:0.007118+0.000049 test-mlogloss:0.917874+0.040337
## [500] train-mlogloss:0.007109+0.000048 test-mlogloss:0.918129+0.040352
## [1] train-mlogloss:0.539968+0.003045 test-mlogloss:0.556989+0.011012
## [2] train-mlogloss:0.508378+0.002684 test-mlogloss:0.540907+0.012354
## [3] train-mlogloss:0.495092+0.002586 test-mlogloss:0.539622+0.012908
## [4] train-mlogloss:0.485377+0.002305 test-mlogloss:0.540058+0.014048
## [5] train-mlogloss:0.478396+0.002498 test-mlogloss:0.542947+0.016108
## [6] train-mlogloss:0.471375+0.002684 test-mlogloss:0.544388+0.015504
## [7] train-mlogloss:0.462024+0.002762 test-mlogloss:0.548057+0.016695
## [8] train-mlogloss:0.456552+0.002699 test-mlogloss:0.550452+0.016333
## [9] train-mlogloss:0.450361+0.004061 test-mlogloss:0.552263+0.016407
## [10] train-mlogloss:0.444823+0.004759 test-mlogloss:0.553746+0.015991
## [11] train-mlogloss:0.437861+0.004338 test-mlogloss:0.557201+0.016916
## [12] train-mlogloss:0.432818+0.003682 test-mlogloss:0.558849+0.017681
## [13] train-mlogloss:0.426243+0.004916 test-mlogloss:0.561210+0.017369
## [14] train-mlogloss:0.419777+0.004664 test-mlogloss:0.562957+0.018357
## [15] train-mlogloss:0.413914+0.003325 test-mlogloss:0.566233+0.017732
## [16] train-mlogloss:0.408294+0.003043 test-mlogloss:0.569303+0.018698
## [17] train-mlogloss:0.401856+0.004270 test-mlogloss:0.572807+0.018367
## [18] train-mlogloss:0.396570+0.004735 test-mlogloss:0.575573+0.019095
## [19] train-mlogloss:0.391191+0.005599 test-mlogloss:0.577118+0.017805
## [20] train-mlogloss:0.385524+0.004509 test-mlogloss:0.579242+0.017666
## [21] train-mlogloss:0.379568+0.005235 test-mlogloss:0.581892+0.019943
## [22] train-mlogloss:0.374308+0.005525 test-mlogloss:0.583572+0.018967
## [23] train-mlogloss:0.370278+0.005274 test-mlogloss:0.585711+0.019504
## [24] train-mlogloss:0.365562+0.004832 test-mlogloss:0.587390+0.019913
## [25] train-mlogloss:0.361352+0.004876 test-mlogloss:0.590660+0.020081
## [26] train-mlogloss:0.356917+0.004206 test-mlogloss:0.593439+0.020401
## [27] train-mlogloss:0.352477+0.003724 test-mlogloss:0.597374+0.021292
## [28] train-mlogloss:0.348333+0.004266 test-mlogloss:0.599283+0.021327
## [29] train-mlogloss:0.343559+0.004682 test-mlogloss:0.602789+0.022133
## [30] train-mlogloss:0.338859+0.004794 test-mlogloss:0.606480+0.021897
## [31] train-mlogloss:0.334140+0.005190 test-mlogloss:0.609065+0.022842
## [32] train-mlogloss:0.329049+0.004714 test-mlogloss:0.613455+0.023726
## [33] train-mlogloss:0.324069+0.004659 test-mlogloss:0.615236+0.022918
## [34] train-mlogloss:0.319711+0.004638 test-mlogloss:0.618109+0.022962
## [35] train-mlogloss:0.315287+0.004373 test-mlogloss:0.619884+0.022922
## [36] train-mlogloss:0.311801+0.004567 test-mlogloss:0.621262+0.021691
## [37] train-mlogloss:0.306610+0.003992 test-mlogloss:0.622769+0.021605
## [38] train-mlogloss:0.302945+0.003742 test-mlogloss:0.624423+0.021878
## [39] train-mlogloss:0.299439+0.004006 test-mlogloss:0.626753+0.021812
## [40] train-mlogloss:0.295404+0.003909 test-mlogloss:0.628892+0.022288
## [41] train-mlogloss:0.291541+0.003456 test-mlogloss:0.630802+0.021671
## [42] train-mlogloss:0.287066+0.003724 test-mlogloss:0.632860+0.021808
## [43] train-mlogloss:0.282665+0.003374 test-mlogloss:0.634846+0.021564
## [44] train-mlogloss:0.279008+0.003857 test-mlogloss:0.636002+0.021558
## [45] train-mlogloss:0.274851+0.004162 test-mlogloss:0.636943+0.021303
## [46] train-mlogloss:0.270223+0.004625 test-mlogloss:0.638849+0.021520
## [47] train-mlogloss:0.266453+0.004534 test-mlogloss:0.640739+0.022032
## [48] train-mlogloss:0.262594+0.005209 test-mlogloss:0.642824+0.021814
## [49] train-mlogloss:0.259021+0.006015 test-mlogloss:0.645162+0.022361
## [50] train-mlogloss:0.255065+0.005900 test-mlogloss:0.647425+0.021934
## [51] train-mlogloss:0.252093+0.004915 test-mlogloss:0.649353+0.021446
## [52] train-mlogloss:0.248592+0.004718 test-mlogloss:0.650894+0.020847
## [53] train-mlogloss:0.245604+0.005041 test-mlogloss:0.653334+0.020101
## [54] train-mlogloss:0.242439+0.005622 test-mlogloss:0.654649+0.020897
## [55] train-mlogloss:0.239244+0.005541 test-mlogloss:0.655734+0.021920
## [56] train-mlogloss:0.236114+0.005486 test-mlogloss:0.657176+0.023056
## [57] train-mlogloss:0.233497+0.005207 test-mlogloss:0.659636+0.024039
## [58] train-mlogloss:0.230841+0.005780 test-mlogloss:0.661571+0.023878
## [59] train-mlogloss:0.227951+0.005249 test-mlogloss:0.663449+0.024358
## [60] train-mlogloss:0.225038+0.005500 test-mlogloss:0.666124+0.026297
## [61] train-mlogloss:0.222120+0.004889 test-mlogloss:0.669460+0.027042
## [62] train-mlogloss:0.219200+0.004640 test-mlogloss:0.671076+0.027309
## [63] train-mlogloss:0.216025+0.004486 test-mlogloss:0.673982+0.026381
## [64] train-mlogloss:0.212922+0.004389 test-mlogloss:0.677262+0.025115
## [65] train-mlogloss:0.210393+0.005152 test-mlogloss:0.679135+0.025286
## [66] train-mlogloss:0.207145+0.005522 test-mlogloss:0.680135+0.026655
## [67] train-mlogloss:0.204651+0.004807 test-mlogloss:0.681564+0.026274
## [68] train-mlogloss:0.201831+0.004711 test-mlogloss:0.682470+0.026049
## [69] train-mlogloss:0.199226+0.004341 test-mlogloss:0.683691+0.026058
## [70] train-mlogloss:0.196708+0.004234 test-mlogloss:0.685125+0.026354
## [71] train-mlogloss:0.194252+0.004065 test-mlogloss:0.688791+0.028106
## [72] train-mlogloss:0.191544+0.003973 test-mlogloss:0.690908+0.029174
## [73] train-mlogloss:0.188961+0.003727 test-mlogloss:0.692872+0.029976
## [74] train-mlogloss:0.186803+0.003794 test-mlogloss:0.694268+0.029001
## [75] train-mlogloss:0.184798+0.003461 test-mlogloss:0.695953+0.029083
## [76] train-mlogloss:0.182802+0.003626 test-mlogloss:0.698405+0.030151
## [77] train-mlogloss:0.180296+0.004066 test-mlogloss:0.699910+0.029820
## [78] train-mlogloss:0.177974+0.004094 test-mlogloss:0.702576+0.027857
## [79] train-mlogloss:0.175604+0.003973 test-mlogloss:0.703032+0.027136
## [80] train-mlogloss:0.173459+0.004130 test-mlogloss:0.705359+0.027131
## [81] train-mlogloss:0.171815+0.004061 test-mlogloss:0.706337+0.028204
## [82] train-mlogloss:0.169896+0.003978 test-mlogloss:0.709387+0.028776
## [83] train-mlogloss:0.167497+0.004109 test-mlogloss:0.712078+0.030555
## [84] train-mlogloss:0.165721+0.004224 test-mlogloss:0.713289+0.031027
## [85] train-mlogloss:0.164007+0.004352 test-mlogloss:0.714269+0.031119
## [86] train-mlogloss:0.161684+0.003982 test-mlogloss:0.717145+0.031638
## [87] train-mlogloss:0.159910+0.003989 test-mlogloss:0.718569+0.031820
## [88] train-mlogloss:0.158064+0.003683 test-mlogloss:0.720388+0.032196
## [89] train-mlogloss:0.156050+0.003868 test-mlogloss:0.722788+0.032649
## [90] train-mlogloss:0.153909+0.003543 test-mlogloss:0.725218+0.033590
## [91] train-mlogloss:0.151747+0.003604 test-mlogloss:0.727318+0.034223
## [92] train-mlogloss:0.149879+0.003513 test-mlogloss:0.729861+0.035147
## [93] train-mlogloss:0.147864+0.003363 test-mlogloss:0.731084+0.035737
## [94] train-mlogloss:0.145770+0.003069 test-mlogloss:0.732531+0.035284
## [95] train-mlogloss:0.143666+0.002841 test-mlogloss:0.735652+0.036010
## [96] train-mlogloss:0.141652+0.002517 test-mlogloss:0.737479+0.036155
## [97] train-mlogloss:0.139853+0.002455 test-mlogloss:0.738776+0.036439
## [98] train-mlogloss:0.138085+0.002387 test-mlogloss:0.739663+0.036950
## [99] train-mlogloss:0.136478+0.002442 test-mlogloss:0.740315+0.037039
## [100] train-mlogloss:0.134886+0.002596 test-mlogloss:0.741402+0.038941
## [101] train-mlogloss:0.133326+0.002994 test-mlogloss:0.742904+0.038560
## [102] train-mlogloss:0.131752+0.002987 test-mlogloss:0.743964+0.038177
## [103] train-mlogloss:0.130016+0.003001 test-mlogloss:0.746672+0.038007
## [104] train-mlogloss:0.128615+0.002881 test-mlogloss:0.747613+0.038722
## [105] train-mlogloss:0.127178+0.003200 test-mlogloss:0.749374+0.039246
## [106] train-mlogloss:0.125809+0.002770 test-mlogloss:0.751393+0.040182
## [107] train-mlogloss:0.124270+0.002599 test-mlogloss:0.753421+0.040672
## [108] train-mlogloss:0.122637+0.002440 test-mlogloss:0.755893+0.039354
## [109] train-mlogloss:0.121197+0.002261 test-mlogloss:0.756935+0.040068
## [110] train-mlogloss:0.119994+0.002394 test-mlogloss:0.757595+0.040342
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## [117] train-mlogloss:0.109707+0.000967 test-mlogloss:0.772332+0.039229
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## [119] train-mlogloss:0.106849+0.001089 test-mlogloss:0.776261+0.038956
## [120] train-mlogloss:0.105382+0.001070 test-mlogloss:0.777913+0.040337
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## [139] train-mlogloss:0.084396+0.001075 test-mlogloss:0.803390+0.041176
## [140] train-mlogloss:0.083375+0.001179 test-mlogloss:0.805891+0.040758
## [141] train-mlogloss:0.082418+0.001210 test-mlogloss:0.807437+0.042034
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## [145] train-mlogloss:0.079033+0.001259 test-mlogloss:0.813463+0.041427
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## [158] train-mlogloss:0.069053+0.001134 test-mlogloss:0.833199+0.040726
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## [160] train-mlogloss:0.067604+0.001198 test-mlogloss:0.835648+0.041301
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## [172] train-mlogloss:0.059804+0.001673 test-mlogloss:0.854666+0.043134
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## [188] train-mlogloss:0.051826+0.001139 test-mlogloss:0.873300+0.043720
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## [193] train-mlogloss:0.049580+0.000987 test-mlogloss:0.879311+0.043301
## [194] train-mlogloss:0.049083+0.001114 test-mlogloss:0.880595+0.043387
## [195] train-mlogloss:0.048679+0.001102 test-mlogloss:0.881789+0.042611
## [196] train-mlogloss:0.048254+0.001035 test-mlogloss:0.883078+0.042687
## [197] train-mlogloss:0.047773+0.001047 test-mlogloss:0.883969+0.042489
## [198] train-mlogloss:0.047377+0.001010 test-mlogloss:0.885905+0.042244
## [199] train-mlogloss:0.046968+0.001050 test-mlogloss:0.886682+0.042768
## [200] train-mlogloss:0.046529+0.001003 test-mlogloss:0.887311+0.042121
## [201] train-mlogloss:0.046150+0.001006 test-mlogloss:0.887684+0.041944
## [202] train-mlogloss:0.045798+0.000936 test-mlogloss:0.889499+0.041978
## [203] train-mlogloss:0.045312+0.000862 test-mlogloss:0.890240+0.041801
## [204] train-mlogloss:0.044959+0.000816 test-mlogloss:0.891603+0.041376
## [205] train-mlogloss:0.044573+0.000765 test-mlogloss:0.892219+0.041322
## [206] train-mlogloss:0.044244+0.000774 test-mlogloss:0.893846+0.042349
## [207] train-mlogloss:0.043935+0.000694 test-mlogloss:0.894975+0.042945
## [208] train-mlogloss:0.043476+0.000687 test-mlogloss:0.896541+0.043495
## [209] train-mlogloss:0.043110+0.000676 test-mlogloss:0.896895+0.043682
## [210] train-mlogloss:0.042726+0.000617 test-mlogloss:0.897820+0.044123
## [211] train-mlogloss:0.042426+0.000607 test-mlogloss:0.899179+0.045161
## [212] train-mlogloss:0.042085+0.000608 test-mlogloss:0.900142+0.045370
## [213] train-mlogloss:0.041759+0.000647 test-mlogloss:0.901720+0.044907
## [214] train-mlogloss:0.041509+0.000633 test-mlogloss:0.902158+0.045178
## [215] train-mlogloss:0.041204+0.000690 test-mlogloss:0.903503+0.044764
## [216] train-mlogloss:0.040871+0.000738 test-mlogloss:0.904715+0.044545
## [217] train-mlogloss:0.040479+0.000715 test-mlogloss:0.906359+0.044659
## [218] train-mlogloss:0.040132+0.000724 test-mlogloss:0.907458+0.045092
## [219] train-mlogloss:0.039830+0.000740 test-mlogloss:0.909285+0.044733
## [220] train-mlogloss:0.039538+0.000817 test-mlogloss:0.910895+0.045040
## [221] train-mlogloss:0.039292+0.000730 test-mlogloss:0.911425+0.044679
## [222] train-mlogloss:0.038967+0.000668 test-mlogloss:0.912559+0.044089
## [223] train-mlogloss:0.038587+0.000632 test-mlogloss:0.913509+0.043603
## [224] train-mlogloss:0.038238+0.000614 test-mlogloss:0.914285+0.043370
## [225] train-mlogloss:0.037923+0.000614 test-mlogloss:0.914723+0.043482
## [226] train-mlogloss:0.037569+0.000568 test-mlogloss:0.916913+0.043017
## [227] train-mlogloss:0.037330+0.000529 test-mlogloss:0.918231+0.041999
## [228] train-mlogloss:0.037022+0.000572 test-mlogloss:0.918822+0.041601
## [229] train-mlogloss:0.036713+0.000599 test-mlogloss:0.919654+0.042342
## [230] train-mlogloss:0.036396+0.000620 test-mlogloss:0.921006+0.042478
## [231] train-mlogloss:0.036160+0.000577 test-mlogloss:0.922172+0.042235
## [232] train-mlogloss:0.035956+0.000574 test-mlogloss:0.923738+0.041677
## [233] train-mlogloss:0.035707+0.000609 test-mlogloss:0.924891+0.042374
## [234] train-mlogloss:0.035422+0.000598 test-mlogloss:0.926223+0.042994
## [235] train-mlogloss:0.035169+0.000536 test-mlogloss:0.926763+0.041764
## [236] train-mlogloss:0.034859+0.000553 test-mlogloss:0.928247+0.042006
## [237] train-mlogloss:0.034626+0.000554 test-mlogloss:0.930115+0.043882
## [238] train-mlogloss:0.034361+0.000552 test-mlogloss:0.930966+0.043299
## [239] train-mlogloss:0.034074+0.000518 test-mlogloss:0.932116+0.043687
## [240] train-mlogloss:0.033776+0.000509 test-mlogloss:0.932973+0.043693
## [241] train-mlogloss:0.033568+0.000494 test-mlogloss:0.933505+0.043658
## [242] train-mlogloss:0.033376+0.000475 test-mlogloss:0.934513+0.043208
## [243] train-mlogloss:0.033194+0.000486 test-mlogloss:0.934903+0.043303
## [244] train-mlogloss:0.033000+0.000446 test-mlogloss:0.934980+0.043291
## [245] train-mlogloss:0.032792+0.000455 test-mlogloss:0.935712+0.042378
## [246] train-mlogloss:0.032594+0.000439 test-mlogloss:0.935997+0.042523
## [247] train-mlogloss:0.032396+0.000436 test-mlogloss:0.937210+0.042255
## [248] train-mlogloss:0.032186+0.000415 test-mlogloss:0.938537+0.042329
## [249] train-mlogloss:0.031952+0.000475 test-mlogloss:0.940890+0.042295
## [250] train-mlogloss:0.031739+0.000509 test-mlogloss:0.941966+0.041919
## [251] train-mlogloss:0.031490+0.000500 test-mlogloss:0.944024+0.041898
## [252] train-mlogloss:0.031235+0.000486 test-mlogloss:0.944650+0.042219
## [253] train-mlogloss:0.031026+0.000509 test-mlogloss:0.944805+0.042127
## [254] train-mlogloss:0.030771+0.000472 test-mlogloss:0.946395+0.042161
## [255] train-mlogloss:0.030563+0.000488 test-mlogloss:0.947955+0.041869
## [256] train-mlogloss:0.030318+0.000507 test-mlogloss:0.948670+0.041787
## [257] train-mlogloss:0.030089+0.000522 test-mlogloss:0.949739+0.041643
## [258] train-mlogloss:0.029856+0.000509 test-mlogloss:0.950486+0.041831
## [259] train-mlogloss:0.029641+0.000513 test-mlogloss:0.951568+0.041677
## [260] train-mlogloss:0.029394+0.000498 test-mlogloss:0.952155+0.040051
## [261] train-mlogloss:0.029164+0.000492 test-mlogloss:0.952897+0.040055
## [262] train-mlogloss:0.028960+0.000490 test-mlogloss:0.953702+0.040796
## [263] train-mlogloss:0.028780+0.000507 test-mlogloss:0.954710+0.041248
## [264] train-mlogloss:0.028573+0.000496 test-mlogloss:0.955755+0.041239
## [265] train-mlogloss:0.028383+0.000463 test-mlogloss:0.956367+0.041118
## [266] train-mlogloss:0.028187+0.000435 test-mlogloss:0.957150+0.041110
## [267] train-mlogloss:0.028004+0.000439 test-mlogloss:0.958201+0.040014
## [268] train-mlogloss:0.027812+0.000401 test-mlogloss:0.958865+0.039899
## [269] train-mlogloss:0.027660+0.000409 test-mlogloss:0.960276+0.040676
## [270] train-mlogloss:0.027448+0.000402 test-mlogloss:0.962143+0.040098
## [271] train-mlogloss:0.027255+0.000361 test-mlogloss:0.963419+0.040805
## [272] train-mlogloss:0.027103+0.000346 test-mlogloss:0.964491+0.041693
## [273] train-mlogloss:0.026907+0.000344 test-mlogloss:0.965016+0.041655
## [274] train-mlogloss:0.026721+0.000327 test-mlogloss:0.965758+0.041804
## [275] train-mlogloss:0.026526+0.000350 test-mlogloss:0.965805+0.041840
## [276] train-mlogloss:0.026374+0.000339 test-mlogloss:0.966843+0.042108
## [277] train-mlogloss:0.026218+0.000333 test-mlogloss:0.967287+0.042755
## [278] train-mlogloss:0.026055+0.000356 test-mlogloss:0.968092+0.042529
## [279] train-mlogloss:0.025883+0.000346 test-mlogloss:0.968936+0.042458
## [280] train-mlogloss:0.025725+0.000324 test-mlogloss:0.970212+0.042781
## [281] train-mlogloss:0.025573+0.000292 test-mlogloss:0.971635+0.042877
## [282] train-mlogloss:0.025425+0.000336 test-mlogloss:0.972195+0.042735
## [283] train-mlogloss:0.025268+0.000333 test-mlogloss:0.973263+0.042695
## [284] train-mlogloss:0.025076+0.000316 test-mlogloss:0.974498+0.042687
## [285] train-mlogloss:0.024923+0.000274 test-mlogloss:0.974906+0.042798
## [286] train-mlogloss:0.024791+0.000272 test-mlogloss:0.975833+0.042894
## [287] train-mlogloss:0.024661+0.000262 test-mlogloss:0.976203+0.042820
## [288] train-mlogloss:0.024510+0.000261 test-mlogloss:0.976699+0.043084
## [289] train-mlogloss:0.024403+0.000260 test-mlogloss:0.977594+0.043977
## [290] train-mlogloss:0.024227+0.000254 test-mlogloss:0.978463+0.044035
## [291] train-mlogloss:0.024068+0.000266 test-mlogloss:0.979762+0.043059
## [292] train-mlogloss:0.023889+0.000289 test-mlogloss:0.981062+0.043199
## [293] train-mlogloss:0.023765+0.000317 test-mlogloss:0.982651+0.042120
## [294] train-mlogloss:0.023601+0.000318 test-mlogloss:0.982875+0.041684
## [295] train-mlogloss:0.023447+0.000305 test-mlogloss:0.983787+0.042426
## [296] train-mlogloss:0.023341+0.000302 test-mlogloss:0.983137+0.041650
## [297] train-mlogloss:0.023211+0.000315 test-mlogloss:0.984527+0.042208
## [298] train-mlogloss:0.023087+0.000321 test-mlogloss:0.985708+0.042442
## [299] train-mlogloss:0.022945+0.000314 test-mlogloss:0.986401+0.042409
## [300] train-mlogloss:0.022837+0.000327 test-mlogloss:0.986724+0.042714
## [301] train-mlogloss:0.022705+0.000330 test-mlogloss:0.987785+0.042854
## [302] train-mlogloss:0.022549+0.000329 test-mlogloss:0.987692+0.042866
## [303] train-mlogloss:0.022431+0.000338 test-mlogloss:0.988249+0.042030
## [304] train-mlogloss:0.022279+0.000311 test-mlogloss:0.989594+0.042574
## [305] train-mlogloss:0.022130+0.000334 test-mlogloss:0.990740+0.043611
## [306] train-mlogloss:0.022030+0.000322 test-mlogloss:0.991229+0.043411
## [307] train-mlogloss:0.021921+0.000339 test-mlogloss:0.992667+0.043927
## [308] train-mlogloss:0.021804+0.000321 test-mlogloss:0.993709+0.043752
## [309] train-mlogloss:0.021683+0.000306 test-mlogloss:0.994969+0.043798
## [310] train-mlogloss:0.021545+0.000278 test-mlogloss:0.995413+0.043579
## [311] train-mlogloss:0.021405+0.000251 test-mlogloss:0.995860+0.043121
## [312] train-mlogloss:0.021290+0.000258 test-mlogloss:0.996321+0.043417
## [313] train-mlogloss:0.021172+0.000233 test-mlogloss:0.997353+0.043110
## [314] train-mlogloss:0.021048+0.000214 test-mlogloss:0.997863+0.043250
## [315] train-mlogloss:0.020947+0.000232 test-mlogloss:0.999035+0.043528
## [316] train-mlogloss:0.020848+0.000220 test-mlogloss:1.000023+0.044096
## [317] train-mlogloss:0.020715+0.000241 test-mlogloss:1.000264+0.043221
## [318] train-mlogloss:0.020583+0.000245 test-mlogloss:1.001867+0.043742
## [319] train-mlogloss:0.020477+0.000243 test-mlogloss:1.003039+0.043283
## [320] train-mlogloss:0.020371+0.000256 test-mlogloss:1.004257+0.043504
## [321] train-mlogloss:0.020250+0.000259 test-mlogloss:1.005467+0.043932
## [322] train-mlogloss:0.020148+0.000279 test-mlogloss:1.005344+0.043237
## [323] train-mlogloss:0.020049+0.000284 test-mlogloss:1.006166+0.043677
## [324] train-mlogloss:0.019962+0.000273 test-mlogloss:1.006506+0.043800
## [325] train-mlogloss:0.019859+0.000275 test-mlogloss:1.007560+0.043655
## [326] train-mlogloss:0.019763+0.000305 test-mlogloss:1.008530+0.043451
## [327] train-mlogloss:0.019672+0.000306 test-mlogloss:1.008802+0.043508
## [328] train-mlogloss:0.019547+0.000298 test-mlogloss:1.009934+0.044766
## [329] train-mlogloss:0.019458+0.000298 test-mlogloss:1.010787+0.044657
## [330] train-mlogloss:0.019349+0.000276 test-mlogloss:1.012088+0.043632
## [331] train-mlogloss:0.019230+0.000252 test-mlogloss:1.013365+0.043214
## [332] train-mlogloss:0.019129+0.000216 test-mlogloss:1.013874+0.043522
## [333] train-mlogloss:0.019024+0.000219 test-mlogloss:1.014118+0.042672
## [334] train-mlogloss:0.018922+0.000204 test-mlogloss:1.014787+0.042402
## [335] train-mlogloss:0.018811+0.000180 test-mlogloss:1.015464+0.042983
## [336] train-mlogloss:0.018704+0.000205 test-mlogloss:1.016815+0.043743
## [337] train-mlogloss:0.018602+0.000222 test-mlogloss:1.017712+0.043555
## [338] train-mlogloss:0.018484+0.000244 test-mlogloss:1.018726+0.043501
## [339] train-mlogloss:0.018417+0.000243 test-mlogloss:1.019250+0.043585
## [340] train-mlogloss:0.018331+0.000255 test-mlogloss:1.019635+0.043447
## [341] train-mlogloss:0.018240+0.000228 test-mlogloss:1.021183+0.044532
## [342] train-mlogloss:0.018153+0.000232 test-mlogloss:1.022421+0.044541
## [343] train-mlogloss:0.018043+0.000225 test-mlogloss:1.023036+0.044597
## [344] train-mlogloss:0.017956+0.000233 test-mlogloss:1.023730+0.044429
## [345] train-mlogloss:0.017872+0.000220 test-mlogloss:1.024102+0.044463
## [346] train-mlogloss:0.017764+0.000196 test-mlogloss:1.024969+0.044040
## [347] train-mlogloss:0.017693+0.000175 test-mlogloss:1.026079+0.044354
## [348] train-mlogloss:0.017615+0.000155 test-mlogloss:1.027268+0.044871
## [349] train-mlogloss:0.017554+0.000154 test-mlogloss:1.028102+0.045162
## [350] train-mlogloss:0.017466+0.000157 test-mlogloss:1.029303+0.043992
## [351] train-mlogloss:0.017392+0.000167 test-mlogloss:1.030076+0.043823
## [352] train-mlogloss:0.017316+0.000193 test-mlogloss:1.030496+0.043742
## [353] train-mlogloss:0.017233+0.000194 test-mlogloss:1.031579+0.044367
## [354] train-mlogloss:0.017145+0.000166 test-mlogloss:1.032037+0.045023
## [355] train-mlogloss:0.017072+0.000160 test-mlogloss:1.033000+0.045000
## [356] train-mlogloss:0.016995+0.000185 test-mlogloss:1.033234+0.044659
## [357] train-mlogloss:0.016912+0.000178 test-mlogloss:1.034055+0.044321
## [358] train-mlogloss:0.016828+0.000171 test-mlogloss:1.035371+0.044891
## [359] train-mlogloss:0.016757+0.000190 test-mlogloss:1.035895+0.044531
## [360] train-mlogloss:0.016681+0.000178 test-mlogloss:1.036573+0.043995
## [361] train-mlogloss:0.016604+0.000183 test-mlogloss:1.038359+0.044763
## [362] train-mlogloss:0.016544+0.000169 test-mlogloss:1.038767+0.044809
## [363] train-mlogloss:0.016477+0.000171 test-mlogloss:1.039168+0.044765
## [364] train-mlogloss:0.016410+0.000165 test-mlogloss:1.040445+0.045505
## [365] train-mlogloss:0.016338+0.000159 test-mlogloss:1.041233+0.046391
## [366] train-mlogloss:0.016261+0.000176 test-mlogloss:1.041689+0.046421
## [367] train-mlogloss:0.016209+0.000185 test-mlogloss:1.042216+0.046319
## [368] train-mlogloss:0.016124+0.000193 test-mlogloss:1.042973+0.046167
## [369] train-mlogloss:0.016045+0.000198 test-mlogloss:1.043743+0.046722
## [370] train-mlogloss:0.015986+0.000190 test-mlogloss:1.045003+0.046461
## [371] train-mlogloss:0.015933+0.000202 test-mlogloss:1.045598+0.046459
## [372] train-mlogloss:0.015862+0.000194 test-mlogloss:1.046676+0.046250
## [373] train-mlogloss:0.015798+0.000192 test-mlogloss:1.046753+0.045303
## [374] train-mlogloss:0.015731+0.000200 test-mlogloss:1.048797+0.046025
## [375] train-mlogloss:0.015657+0.000202 test-mlogloss:1.049860+0.046091
## [376] train-mlogloss:0.015599+0.000214 test-mlogloss:1.049765+0.046375
## [377] train-mlogloss:0.015516+0.000224 test-mlogloss:1.050162+0.046283
## [378] train-mlogloss:0.015451+0.000222 test-mlogloss:1.051121+0.046016
## [379] train-mlogloss:0.015390+0.000217 test-mlogloss:1.051316+0.045692
## [380] train-mlogloss:0.015307+0.000233 test-mlogloss:1.053000+0.045890
## [381] train-mlogloss:0.015240+0.000226 test-mlogloss:1.053779+0.046199
## [382] train-mlogloss:0.015173+0.000214 test-mlogloss:1.054750+0.045767
## [383] train-mlogloss:0.015089+0.000221 test-mlogloss:1.054763+0.045983
## [384] train-mlogloss:0.015029+0.000201 test-mlogloss:1.055313+0.046133
## [385] train-mlogloss:0.014965+0.000201 test-mlogloss:1.055074+0.046006
## [386] train-mlogloss:0.014898+0.000196 test-mlogloss:1.056018+0.047041
## [387] train-mlogloss:0.014842+0.000206 test-mlogloss:1.056751+0.047192
## [388] train-mlogloss:0.014780+0.000196 test-mlogloss:1.057602+0.047178
## [389] train-mlogloss:0.014706+0.000196 test-mlogloss:1.058988+0.046596
## [390] train-mlogloss:0.014633+0.000202 test-mlogloss:1.059484+0.046611
## [391] train-mlogloss:0.014562+0.000199 test-mlogloss:1.060416+0.046765
## [392] train-mlogloss:0.014497+0.000198 test-mlogloss:1.061106+0.046643
## [393] train-mlogloss:0.014443+0.000193 test-mlogloss:1.061529+0.046179
## [394] train-mlogloss:0.014381+0.000198 test-mlogloss:1.062820+0.047123
## [395] train-mlogloss:0.014314+0.000199 test-mlogloss:1.064222+0.047362
## [396] train-mlogloss:0.014249+0.000196 test-mlogloss:1.064640+0.047329
## [397] train-mlogloss:0.014197+0.000200 test-mlogloss:1.064865+0.047959
## [398] train-mlogloss:0.014138+0.000203 test-mlogloss:1.066515+0.047613
## [399] train-mlogloss:0.014073+0.000198 test-mlogloss:1.066927+0.047715
## [400] train-mlogloss:0.014010+0.000195 test-mlogloss:1.067388+0.047546
## [401] train-mlogloss:0.013956+0.000203 test-mlogloss:1.068175+0.046833
## [402] train-mlogloss:0.013881+0.000198 test-mlogloss:1.068961+0.047073
## [403] train-mlogloss:0.013811+0.000209 test-mlogloss:1.070095+0.046996
## [404] train-mlogloss:0.013768+0.000208 test-mlogloss:1.070529+0.047058
## [405] train-mlogloss:0.013710+0.000209 test-mlogloss:1.071168+0.046885
## [406] train-mlogloss:0.013661+0.000213 test-mlogloss:1.071814+0.046597
## [407] train-mlogloss:0.013606+0.000204 test-mlogloss:1.071796+0.046816
## [408] train-mlogloss:0.013551+0.000207 test-mlogloss:1.072891+0.047445
## [409] train-mlogloss:0.013481+0.000220 test-mlogloss:1.074029+0.047220
## [410] train-mlogloss:0.013426+0.000227 test-mlogloss:1.074744+0.047239
## [411] train-mlogloss:0.013382+0.000221 test-mlogloss:1.075451+0.047055
## [412] train-mlogloss:0.013326+0.000209 test-mlogloss:1.076704+0.047102
## [413] train-mlogloss:0.013273+0.000196 test-mlogloss:1.077324+0.047732
## [414] train-mlogloss:0.013217+0.000196 test-mlogloss:1.078052+0.047742
## [415] train-mlogloss:0.013167+0.000197 test-mlogloss:1.077878+0.048079
## [416] train-mlogloss:0.013114+0.000195 test-mlogloss:1.078802+0.047748
## [417] train-mlogloss:0.013071+0.000185 test-mlogloss:1.080163+0.048412
## [418] train-mlogloss:0.013023+0.000177 test-mlogloss:1.081811+0.048397
## [419] train-mlogloss:0.012967+0.000194 test-mlogloss:1.082474+0.048653
## [420] train-mlogloss:0.012919+0.000187 test-mlogloss:1.082919+0.048578
## [421] train-mlogloss:0.012872+0.000194 test-mlogloss:1.083521+0.049355
## [422] train-mlogloss:0.012825+0.000179 test-mlogloss:1.084072+0.049322
## [423] train-mlogloss:0.012782+0.000182 test-mlogloss:1.085096+0.049538
## [424] train-mlogloss:0.012744+0.000182 test-mlogloss:1.085464+0.049501
## [425] train-mlogloss:0.012700+0.000174 test-mlogloss:1.085883+0.049012
## [426] train-mlogloss:0.012651+0.000178 test-mlogloss:1.086034+0.049181
## [427] train-mlogloss:0.012590+0.000173 test-mlogloss:1.086763+0.049040
## [428] train-mlogloss:0.012543+0.000165 test-mlogloss:1.087242+0.048869
## [429] train-mlogloss:0.012491+0.000166 test-mlogloss:1.088266+0.049319
## [430] train-mlogloss:0.012441+0.000155 test-mlogloss:1.089049+0.049000
## [431] train-mlogloss:0.012398+0.000147 test-mlogloss:1.089516+0.048848
## [432] train-mlogloss:0.012358+0.000140 test-mlogloss:1.089442+0.048293
## [433] train-mlogloss:0.012308+0.000123 test-mlogloss:1.090598+0.048562
## [434] train-mlogloss:0.012271+0.000118 test-mlogloss:1.090499+0.048597
## [435] train-mlogloss:0.012231+0.000127 test-mlogloss:1.092446+0.049950
## [436] train-mlogloss:0.012186+0.000131 test-mlogloss:1.092611+0.050185
## [437] train-mlogloss:0.012138+0.000129 test-mlogloss:1.092856+0.049752
## [438] train-mlogloss:0.012098+0.000139 test-mlogloss:1.093478+0.050163
## [439] train-mlogloss:0.012058+0.000139 test-mlogloss:1.093490+0.049997
## [440] train-mlogloss:0.012016+0.000150 test-mlogloss:1.094572+0.050394
## [441] train-mlogloss:0.011975+0.000158 test-mlogloss:1.095246+0.050328
## [442] train-mlogloss:0.011935+0.000155 test-mlogloss:1.095833+0.049763
## [443] train-mlogloss:0.011897+0.000147 test-mlogloss:1.096076+0.049869
## [444] train-mlogloss:0.011855+0.000153 test-mlogloss:1.096655+0.050174
## [445] train-mlogloss:0.011816+0.000159 test-mlogloss:1.097792+0.050679
## [446] train-mlogloss:0.011757+0.000157 test-mlogloss:1.098807+0.050743
## [447] train-mlogloss:0.011717+0.000162 test-mlogloss:1.098840+0.050789
## [448] train-mlogloss:0.011674+0.000158 test-mlogloss:1.099279+0.050181
## [449] train-mlogloss:0.011635+0.000150 test-mlogloss:1.100138+0.050284
## [450] train-mlogloss:0.011596+0.000150 test-mlogloss:1.100060+0.050294
## [451] train-mlogloss:0.011566+0.000147 test-mlogloss:1.100734+0.050557
## [452] train-mlogloss:0.011525+0.000149 test-mlogloss:1.101205+0.050516
## [453] train-mlogloss:0.011483+0.000149 test-mlogloss:1.101935+0.050291
## [454] train-mlogloss:0.011449+0.000149 test-mlogloss:1.103095+0.050290
## [455] train-mlogloss:0.011416+0.000155 test-mlogloss:1.103695+0.050250
## [456] train-mlogloss:0.011381+0.000150 test-mlogloss:1.103870+0.049745
## [457] train-mlogloss:0.011342+0.000147 test-mlogloss:1.104998+0.050109
## [458] train-mlogloss:0.011302+0.000153 test-mlogloss:1.105599+0.050049
## [459] train-mlogloss:0.011259+0.000156 test-mlogloss:1.106212+0.050084
## [460] train-mlogloss:0.011226+0.000168 test-mlogloss:1.107263+0.050530
## [461] train-mlogloss:0.011195+0.000171 test-mlogloss:1.107116+0.051249
## [462] train-mlogloss:0.011161+0.000172 test-mlogloss:1.107472+0.052067
## [463] train-mlogloss:0.011126+0.000165 test-mlogloss:1.108384+0.051408
## [464] train-mlogloss:0.011087+0.000170 test-mlogloss:1.109124+0.051089
## [465] train-mlogloss:0.011043+0.000172 test-mlogloss:1.109815+0.051171
## [466] train-mlogloss:0.010997+0.000184 test-mlogloss:1.111027+0.051373
## [467] train-mlogloss:0.010965+0.000193 test-mlogloss:1.111726+0.051022
## [468] train-mlogloss:0.010932+0.000199 test-mlogloss:1.112615+0.051134
## [469] train-mlogloss:0.010897+0.000191 test-mlogloss:1.113094+0.050416
## [470] train-mlogloss:0.010868+0.000185 test-mlogloss:1.113757+0.050425
## [471] train-mlogloss:0.010835+0.000178 test-mlogloss:1.114406+0.049974
## [472] train-mlogloss:0.010805+0.000180 test-mlogloss:1.114443+0.049911
## [473] train-mlogloss:0.010773+0.000180 test-mlogloss:1.114444+0.050051
## [474] train-mlogloss:0.010741+0.000178 test-mlogloss:1.114929+0.049789
## [475] train-mlogloss:0.010712+0.000178 test-mlogloss:1.115486+0.050165
## [476] train-mlogloss:0.010676+0.000174 test-mlogloss:1.116786+0.050367
## [477] train-mlogloss:0.010641+0.000177 test-mlogloss:1.116846+0.050745
## [478] train-mlogloss:0.010605+0.000178 test-mlogloss:1.117190+0.050442
## [479] train-mlogloss:0.010570+0.000173 test-mlogloss:1.118621+0.050918
## [480] train-mlogloss:0.010539+0.000182 test-mlogloss:1.118990+0.051243
## [481] train-mlogloss:0.010516+0.000182 test-mlogloss:1.119048+0.050908
## [482] train-mlogloss:0.010482+0.000184 test-mlogloss:1.119278+0.051633
## [483] train-mlogloss:0.010449+0.000187 test-mlogloss:1.119349+0.051397
## [484] train-mlogloss:0.010418+0.000181 test-mlogloss:1.120492+0.051996
## [485] train-mlogloss:0.010381+0.000176 test-mlogloss:1.120778+0.051868
## [486] train-mlogloss:0.010348+0.000173 test-mlogloss:1.121494+0.052052
## [487] train-mlogloss:0.010323+0.000172 test-mlogloss:1.122096+0.052552
## [488] train-mlogloss:0.010289+0.000169 test-mlogloss:1.122668+0.052605
## [489] train-mlogloss:0.010261+0.000160 test-mlogloss:1.123341+0.052269
## [490] train-mlogloss:0.010227+0.000162 test-mlogloss:1.123247+0.052023
## [491] train-mlogloss:0.010198+0.000164 test-mlogloss:1.123403+0.051735
## [492] train-mlogloss:0.010162+0.000157 test-mlogloss:1.124330+0.051376
## [493] train-mlogloss:0.010131+0.000153 test-mlogloss:1.125993+0.051468
## [494] train-mlogloss:0.010099+0.000154 test-mlogloss:1.126326+0.051736
## [495] train-mlogloss:0.010072+0.000154 test-mlogloss:1.126141+0.051284
## [496] train-mlogloss:0.010042+0.000155 test-mlogloss:1.126625+0.051059
## [497] train-mlogloss:0.010006+0.000152 test-mlogloss:1.127667+0.051296
## [498] train-mlogloss:0.009971+0.000150 test-mlogloss:1.128285+0.051829
## [499] train-mlogloss:0.009941+0.000155 test-mlogloss:1.128789+0.051411
## [500] train-mlogloss:0.009915+0.000161 test-mlogloss:1.129264+0.051846
## [1] train-mlogloss:0.432740+0.003056 test-mlogloss:0.590621+0.005255
## [2] train-mlogloss:0.325320+0.002946 test-mlogloss:0.594357+0.007085
## [3] train-mlogloss:0.260389+0.004403 test-mlogloss:0.609761+0.008919
## [4] train-mlogloss:0.214074+0.006820 test-mlogloss:0.628453+0.010854
## [5] train-mlogloss:0.181292+0.007119 test-mlogloss:0.643140+0.010815
## [6] train-mlogloss:0.160230+0.005259 test-mlogloss:0.653385+0.012189
## [7] train-mlogloss:0.140587+0.005775 test-mlogloss:0.667327+0.010197
## [8] train-mlogloss:0.124789+0.004415 test-mlogloss:0.680975+0.011128
## [9] train-mlogloss:0.113335+0.001678 test-mlogloss:0.689672+0.009301
## [10] train-mlogloss:0.102228+0.002367 test-mlogloss:0.699782+0.011598
## [11] train-mlogloss:0.092357+0.001915 test-mlogloss:0.707968+0.012673
## [12] train-mlogloss:0.084690+0.002632 test-mlogloss:0.712286+0.011686
## [13] train-mlogloss:0.077828+0.003242 test-mlogloss:0.719308+0.013773
## [14] train-mlogloss:0.071240+0.002659 test-mlogloss:0.727539+0.011197
## [15] train-mlogloss:0.065891+0.002422 test-mlogloss:0.735770+0.010606
## [16] train-mlogloss:0.061422+0.002273 test-mlogloss:0.742384+0.009724
## [17] train-mlogloss:0.057275+0.002057 test-mlogloss:0.749447+0.009720
## [18] train-mlogloss:0.053924+0.001866 test-mlogloss:0.755893+0.009680
## [19] train-mlogloss:0.051075+0.002038 test-mlogloss:0.762487+0.010151
## [20] train-mlogloss:0.048261+0.001808 test-mlogloss:0.765865+0.011950
## [21] train-mlogloss:0.045740+0.001689 test-mlogloss:0.769836+0.010916
## [22] train-mlogloss:0.043532+0.001577 test-mlogloss:0.775290+0.011370
## [23] train-mlogloss:0.041515+0.001394 test-mlogloss:0.779078+0.010814
## [24] train-mlogloss:0.039589+0.001245 test-mlogloss:0.781550+0.010858
## [25] train-mlogloss:0.037973+0.001157 test-mlogloss:0.785494+0.011062
## [26] train-mlogloss:0.036391+0.001031 test-mlogloss:0.790082+0.010711
## [27] train-mlogloss:0.034961+0.000901 test-mlogloss:0.794238+0.009384
## [28] train-mlogloss:0.033703+0.000861 test-mlogloss:0.798563+0.010418
## [29] train-mlogloss:0.032563+0.000788 test-mlogloss:0.802879+0.012247
## [30] train-mlogloss:0.031462+0.000659 test-mlogloss:0.807009+0.011363
## [31] train-mlogloss:0.030389+0.000618 test-mlogloss:0.810818+0.010797
## [32] train-mlogloss:0.029424+0.000631 test-mlogloss:0.815064+0.011048
## [33] train-mlogloss:0.028538+0.000607 test-mlogloss:0.819966+0.010794
## [34] train-mlogloss:0.027725+0.000571 test-mlogloss:0.822316+0.010541
## [35] train-mlogloss:0.026914+0.000577 test-mlogloss:0.824596+0.012189
## [36] train-mlogloss:0.026164+0.000533 test-mlogloss:0.827976+0.012539
## [37] train-mlogloss:0.025507+0.000521 test-mlogloss:0.831032+0.013359
## [38] train-mlogloss:0.024878+0.000504 test-mlogloss:0.833115+0.012546
## [39] train-mlogloss:0.024251+0.000501 test-mlogloss:0.835146+0.012509
## [40] train-mlogloss:0.023700+0.000453 test-mlogloss:0.838301+0.011321
## [41] train-mlogloss:0.023142+0.000457 test-mlogloss:0.841670+0.010741
## [42] train-mlogloss:0.022580+0.000425 test-mlogloss:0.845330+0.012662
## [43] train-mlogloss:0.022115+0.000401 test-mlogloss:0.847444+0.013358
## [44] train-mlogloss:0.021636+0.000380 test-mlogloss:0.850986+0.013379
## [45] train-mlogloss:0.021185+0.000348 test-mlogloss:0.853810+0.013189
## [46] train-mlogloss:0.020736+0.000316 test-mlogloss:0.857867+0.014498
## [47] train-mlogloss:0.020333+0.000287 test-mlogloss:0.858727+0.013637
## [48] train-mlogloss:0.019944+0.000263 test-mlogloss:0.861283+0.012859
## [49] train-mlogloss:0.019570+0.000244 test-mlogloss:0.863099+0.012053
## [50] train-mlogloss:0.019211+0.000241 test-mlogloss:0.865117+0.012888
## [51] train-mlogloss:0.018875+0.000240 test-mlogloss:0.867369+0.012877
## [52] train-mlogloss:0.018548+0.000236 test-mlogloss:0.869269+0.013264
## [53] train-mlogloss:0.018246+0.000224 test-mlogloss:0.871867+0.012236
## [54] train-mlogloss:0.017940+0.000222 test-mlogloss:0.875023+0.012108
## [55] train-mlogloss:0.017650+0.000185 test-mlogloss:0.876427+0.012808
## [56] train-mlogloss:0.017404+0.000178 test-mlogloss:0.877714+0.013239
## [57] train-mlogloss:0.017134+0.000159 test-mlogloss:0.879303+0.013315
## [58] train-mlogloss:0.016883+0.000147 test-mlogloss:0.880896+0.014849
## [59] train-mlogloss:0.016649+0.000139 test-mlogloss:0.882850+0.015115
## [60] train-mlogloss:0.016420+0.000132 test-mlogloss:0.885110+0.016275
## [61] train-mlogloss:0.016187+0.000140 test-mlogloss:0.886620+0.015695
## [62] train-mlogloss:0.015966+0.000117 test-mlogloss:0.888019+0.015573
## [63] train-mlogloss:0.015759+0.000118 test-mlogloss:0.890685+0.015823
## [64] train-mlogloss:0.015561+0.000118 test-mlogloss:0.892911+0.016886
## [65] train-mlogloss:0.015366+0.000104 test-mlogloss:0.894481+0.017234
## [66] train-mlogloss:0.015167+0.000102 test-mlogloss:0.895854+0.017616
## [67] train-mlogloss:0.014976+0.000095 test-mlogloss:0.898546+0.018027
## [68] train-mlogloss:0.014796+0.000092 test-mlogloss:0.900586+0.018514
## [69] train-mlogloss:0.014631+0.000098 test-mlogloss:0.902570+0.019505
## [70] train-mlogloss:0.014463+0.000106 test-mlogloss:0.903829+0.019631
## [71] train-mlogloss:0.014294+0.000110 test-mlogloss:0.905363+0.019515
## [72] train-mlogloss:0.014125+0.000107 test-mlogloss:0.906859+0.019677
## [73] train-mlogloss:0.013952+0.000103 test-mlogloss:0.908371+0.019117
## [74] train-mlogloss:0.013804+0.000106 test-mlogloss:0.909463+0.019920
## [75] train-mlogloss:0.013655+0.000100 test-mlogloss:0.911737+0.019867
## [76] train-mlogloss:0.013513+0.000103 test-mlogloss:0.912612+0.020232
## [77] train-mlogloss:0.013367+0.000102 test-mlogloss:0.915140+0.019726
## [78] train-mlogloss:0.013212+0.000103 test-mlogloss:0.917866+0.019145
## [79] train-mlogloss:0.013080+0.000112 test-mlogloss:0.919346+0.019050
## [80] train-mlogloss:0.012945+0.000111 test-mlogloss:0.920739+0.019948
## [81] train-mlogloss:0.012816+0.000120 test-mlogloss:0.921732+0.019939
## [82] train-mlogloss:0.012690+0.000120 test-mlogloss:0.922931+0.019562
## [83] train-mlogloss:0.012565+0.000125 test-mlogloss:0.924799+0.019942
## [84] train-mlogloss:0.012453+0.000120 test-mlogloss:0.925011+0.019869
## [85] train-mlogloss:0.012342+0.000116 test-mlogloss:0.927028+0.019670
## [86] train-mlogloss:0.012229+0.000112 test-mlogloss:0.928302+0.019725
## [87] train-mlogloss:0.012120+0.000098 test-mlogloss:0.930971+0.020962
## [88] train-mlogloss:0.012012+0.000097 test-mlogloss:0.932047+0.020242
## [89] train-mlogloss:0.011905+0.000093 test-mlogloss:0.933748+0.020169
## [90] train-mlogloss:0.011800+0.000091 test-mlogloss:0.934924+0.020314
## [91] train-mlogloss:0.011696+0.000087 test-mlogloss:0.934898+0.019778
## [92] train-mlogloss:0.011585+0.000093 test-mlogloss:0.936203+0.020052
## [93] train-mlogloss:0.011495+0.000095 test-mlogloss:0.937213+0.020389
## [94] train-mlogloss:0.011393+0.000092 test-mlogloss:0.939436+0.018940
## [95] train-mlogloss:0.011294+0.000087 test-mlogloss:0.940389+0.020032
## [96] train-mlogloss:0.011211+0.000087 test-mlogloss:0.941864+0.019752
## [97] train-mlogloss:0.011123+0.000090 test-mlogloss:0.942781+0.020057
## [98] train-mlogloss:0.011030+0.000085 test-mlogloss:0.944716+0.020031
## [99] train-mlogloss:0.010953+0.000080 test-mlogloss:0.945672+0.020455
## [100] train-mlogloss:0.010876+0.000078 test-mlogloss:0.946204+0.020032
## [101] train-mlogloss:0.010797+0.000072 test-mlogloss:0.946895+0.020586
## [102] train-mlogloss:0.010714+0.000069 test-mlogloss:0.948401+0.020607
## [103] train-mlogloss:0.010638+0.000069 test-mlogloss:0.949145+0.020165
## [104] train-mlogloss:0.010557+0.000073 test-mlogloss:0.949944+0.019114
## [105] train-mlogloss:0.010485+0.000070 test-mlogloss:0.951225+0.020506
## [106] train-mlogloss:0.010410+0.000075 test-mlogloss:0.951787+0.020874
## [107] train-mlogloss:0.010341+0.000077 test-mlogloss:0.953071+0.020486
## [108] train-mlogloss:0.010271+0.000077 test-mlogloss:0.954093+0.021913
## [109] train-mlogloss:0.010193+0.000077 test-mlogloss:0.954536+0.020894
## [110] train-mlogloss:0.010127+0.000077 test-mlogloss:0.955878+0.021342
## [111] train-mlogloss:0.010060+0.000077 test-mlogloss:0.957448+0.020727
## [112] train-mlogloss:0.009994+0.000073 test-mlogloss:0.958692+0.020705
## [113] train-mlogloss:0.009929+0.000072 test-mlogloss:0.960267+0.021747
## [114] train-mlogloss:0.009866+0.000066 test-mlogloss:0.960933+0.022185
## [115] train-mlogloss:0.009802+0.000063 test-mlogloss:0.961985+0.022341
## [116] train-mlogloss:0.009738+0.000058 test-mlogloss:0.963509+0.021888
## [117] train-mlogloss:0.009672+0.000054 test-mlogloss:0.964215+0.021833
## [118] train-mlogloss:0.009616+0.000059 test-mlogloss:0.965376+0.022690
## [119] train-mlogloss:0.009554+0.000055 test-mlogloss:0.966241+0.022800
## [120] train-mlogloss:0.009486+0.000054 test-mlogloss:0.967073+0.023534
## [121] train-mlogloss:0.009422+0.000053 test-mlogloss:0.968420+0.023894
## [122] train-mlogloss:0.009363+0.000051 test-mlogloss:0.968040+0.023916
## [123] train-mlogloss:0.009307+0.000052 test-mlogloss:0.969592+0.023805
## [124] train-mlogloss:0.009249+0.000053 test-mlogloss:0.970473+0.024284
## [125] train-mlogloss:0.009195+0.000053 test-mlogloss:0.971291+0.024186
## [126] train-mlogloss:0.009141+0.000052 test-mlogloss:0.972394+0.024528
## [127] train-mlogloss:0.009087+0.000054 test-mlogloss:0.972819+0.024732
## [128] train-mlogloss:0.009039+0.000053 test-mlogloss:0.973298+0.024646
## [129] train-mlogloss:0.008992+0.000054 test-mlogloss:0.973650+0.025624
## [130] train-mlogloss:0.008939+0.000053 test-mlogloss:0.974764+0.025457
## [131] train-mlogloss:0.008891+0.000056 test-mlogloss:0.975294+0.025365
## [132] train-mlogloss:0.008841+0.000055 test-mlogloss:0.976486+0.025961
## [133] train-mlogloss:0.008795+0.000061 test-mlogloss:0.977704+0.025855
## [134] train-mlogloss:0.008747+0.000057 test-mlogloss:0.978335+0.025709
## [135] train-mlogloss:0.008697+0.000059 test-mlogloss:0.978723+0.025951
## [136] train-mlogloss:0.008652+0.000060 test-mlogloss:0.979798+0.025689
## [137] train-mlogloss:0.008604+0.000060 test-mlogloss:0.980682+0.026029
## [138] train-mlogloss:0.008564+0.000060 test-mlogloss:0.982014+0.026040
## [139] train-mlogloss:0.008521+0.000058 test-mlogloss:0.982891+0.026062
## [140] train-mlogloss:0.008478+0.000061 test-mlogloss:0.983445+0.026276
## [141] train-mlogloss:0.008436+0.000063 test-mlogloss:0.983635+0.025576
## [142] train-mlogloss:0.008392+0.000063 test-mlogloss:0.984205+0.025770
## [143] train-mlogloss:0.008351+0.000065 test-mlogloss:0.985524+0.025540
## [144] train-mlogloss:0.008315+0.000064 test-mlogloss:0.986752+0.025627
## [145] train-mlogloss:0.008272+0.000067 test-mlogloss:0.986605+0.025012
## [146] train-mlogloss:0.008233+0.000066 test-mlogloss:0.986829+0.024666
## [147] train-mlogloss:0.008194+0.000060 test-mlogloss:0.987935+0.024540
## [148] train-mlogloss:0.008156+0.000062 test-mlogloss:0.988183+0.024229
## [149] train-mlogloss:0.008120+0.000058 test-mlogloss:0.988883+0.024735
## [150] train-mlogloss:0.008084+0.000062 test-mlogloss:0.990400+0.024757
## [151] train-mlogloss:0.008046+0.000059 test-mlogloss:0.990664+0.024278
## [152] train-mlogloss:0.008012+0.000061 test-mlogloss:0.992139+0.024194
## [153] train-mlogloss:0.007978+0.000057 test-mlogloss:0.992942+0.024033
## [154] train-mlogloss:0.007941+0.000061 test-mlogloss:0.992546+0.024873
## [155] train-mlogloss:0.007907+0.000060 test-mlogloss:0.993081+0.024538
## [156] train-mlogloss:0.007871+0.000058 test-mlogloss:0.993682+0.024917
## [157] train-mlogloss:0.007837+0.000060 test-mlogloss:0.994481+0.025134
## [158] train-mlogloss:0.007802+0.000063 test-mlogloss:0.995681+0.025383
## [159] train-mlogloss:0.007768+0.000060 test-mlogloss:0.996146+0.025815
## [160] train-mlogloss:0.007735+0.000059 test-mlogloss:0.997178+0.026683
## [161] train-mlogloss:0.007702+0.000057 test-mlogloss:0.997626+0.026638
## [162] train-mlogloss:0.007673+0.000054 test-mlogloss:0.998552+0.026175
## [163] train-mlogloss:0.007644+0.000055 test-mlogloss:0.999267+0.027011
## [164] train-mlogloss:0.007610+0.000060 test-mlogloss:0.999888+0.027313
## [165] train-mlogloss:0.007582+0.000058 test-mlogloss:1.000496+0.027663
## [166] train-mlogloss:0.007554+0.000059 test-mlogloss:1.000299+0.027076
## [167] train-mlogloss:0.007522+0.000059 test-mlogloss:1.000921+0.027358
## [168] train-mlogloss:0.007494+0.000060 test-mlogloss:1.002303+0.027014
## [169] train-mlogloss:0.007463+0.000060 test-mlogloss:1.002864+0.027574
## [170] train-mlogloss:0.007434+0.000058 test-mlogloss:1.003498+0.026900
## [171] train-mlogloss:0.007404+0.000061 test-mlogloss:1.003753+0.027074
## [172] train-mlogloss:0.007376+0.000059 test-mlogloss:1.004699+0.027598
## [173] train-mlogloss:0.007349+0.000061 test-mlogloss:1.005004+0.027923
## [174] train-mlogloss:0.007321+0.000061 test-mlogloss:1.005558+0.027991
## [175] train-mlogloss:0.007292+0.000060 test-mlogloss:1.006764+0.027533
## [176] train-mlogloss:0.007263+0.000061 test-mlogloss:1.006405+0.027270
## [177] train-mlogloss:0.007236+0.000059 test-mlogloss:1.006603+0.027214
## [178] train-mlogloss:0.007208+0.000060 test-mlogloss:1.007484+0.026821
## [179] train-mlogloss:0.007181+0.000059 test-mlogloss:1.009046+0.026090
## [180] train-mlogloss:0.007156+0.000057 test-mlogloss:1.009225+0.025792
## [181] train-mlogloss:0.007131+0.000061 test-mlogloss:1.008592+0.025937
## [182] train-mlogloss:0.007103+0.000061 test-mlogloss:1.008873+0.025854
## [183] train-mlogloss:0.007078+0.000061 test-mlogloss:1.008922+0.025471
## [184] train-mlogloss:0.007052+0.000058 test-mlogloss:1.009497+0.025170
## [185] train-mlogloss:0.007028+0.000058 test-mlogloss:1.010443+0.025471
## [186] train-mlogloss:0.007002+0.000058 test-mlogloss:1.010513+0.025593
## [187] train-mlogloss:0.006979+0.000054 test-mlogloss:1.011477+0.025312
## [188] train-mlogloss:0.006956+0.000053 test-mlogloss:1.011868+0.025352
## [189] train-mlogloss:0.006932+0.000052 test-mlogloss:1.012085+0.026016
## [190] train-mlogloss:0.006906+0.000049 test-mlogloss:1.012589+0.025605
## [191] train-mlogloss:0.006883+0.000052 test-mlogloss:1.012616+0.025134
## [192] train-mlogloss:0.006860+0.000050 test-mlogloss:1.013594+0.025484
## [193] train-mlogloss:0.006836+0.000051 test-mlogloss:1.013410+0.025805
## [194] train-mlogloss:0.006814+0.000052 test-mlogloss:1.013824+0.026148
## [195] train-mlogloss:0.006791+0.000053 test-mlogloss:1.014760+0.025443
## [196] train-mlogloss:0.006768+0.000053 test-mlogloss:1.015187+0.025748
## [197] train-mlogloss:0.006745+0.000054 test-mlogloss:1.014920+0.026492
## [198] train-mlogloss:0.006722+0.000052 test-mlogloss:1.015557+0.025677
## [199] train-mlogloss:0.006699+0.000052 test-mlogloss:1.015821+0.025567
## [200] train-mlogloss:0.006677+0.000053 test-mlogloss:1.016096+0.025936
## [201] train-mlogloss:0.006655+0.000053 test-mlogloss:1.016187+0.026019
## [202] train-mlogloss:0.006634+0.000052 test-mlogloss:1.017629+0.025166
## [203] train-mlogloss:0.006611+0.000052 test-mlogloss:1.018038+0.024791
## [204] train-mlogloss:0.006590+0.000053 test-mlogloss:1.018824+0.025157
## [205] train-mlogloss:0.006569+0.000052 test-mlogloss:1.019479+0.025279
## [206] train-mlogloss:0.006549+0.000050 test-mlogloss:1.019401+0.025049
## [207] train-mlogloss:0.006525+0.000052 test-mlogloss:1.019987+0.024545
## [208] train-mlogloss:0.006505+0.000053 test-mlogloss:1.020361+0.024600
## [209] train-mlogloss:0.006485+0.000052 test-mlogloss:1.020138+0.024794
## [210] train-mlogloss:0.006466+0.000052 test-mlogloss:1.021094+0.025475
## [211] train-mlogloss:0.006445+0.000049 test-mlogloss:1.021850+0.025760
## [212] train-mlogloss:0.006423+0.000048 test-mlogloss:1.022423+0.025951
## [213] train-mlogloss:0.006405+0.000047 test-mlogloss:1.023085+0.025908
## [214] train-mlogloss:0.006386+0.000047 test-mlogloss:1.023182+0.025535
## [215] train-mlogloss:0.006365+0.000049 test-mlogloss:1.023391+0.024750
## [216] train-mlogloss:0.006347+0.000049 test-mlogloss:1.023816+0.025187
## [217] train-mlogloss:0.006328+0.000046 test-mlogloss:1.023486+0.025441
## [218] train-mlogloss:0.006310+0.000047 test-mlogloss:1.024288+0.024854
## [219] train-mlogloss:0.006289+0.000049 test-mlogloss:1.024684+0.025563
## [220] train-mlogloss:0.006272+0.000049 test-mlogloss:1.025511+0.025196
## [221] train-mlogloss:0.006254+0.000050 test-mlogloss:1.025848+0.024898
## [222] train-mlogloss:0.006236+0.000049 test-mlogloss:1.025972+0.025250
## [223] train-mlogloss:0.006219+0.000049 test-mlogloss:1.026938+0.025524
## [224] train-mlogloss:0.006201+0.000051 test-mlogloss:1.027214+0.026101
## [225] train-mlogloss:0.006184+0.000051 test-mlogloss:1.027648+0.026303
## [226] train-mlogloss:0.006166+0.000050 test-mlogloss:1.027658+0.026439
## [227] train-mlogloss:0.006149+0.000048 test-mlogloss:1.028755+0.026020
## [228] train-mlogloss:0.006132+0.000049 test-mlogloss:1.029070+0.026169
## [229] train-mlogloss:0.006114+0.000046 test-mlogloss:1.029150+0.026435
## [230] train-mlogloss:0.006096+0.000045 test-mlogloss:1.029964+0.026998
## [231] train-mlogloss:0.006078+0.000042 test-mlogloss:1.030822+0.026926
## [232] train-mlogloss:0.006061+0.000040 test-mlogloss:1.030890+0.026791
## [233] train-mlogloss:0.006043+0.000040 test-mlogloss:1.031690+0.026934
## [234] train-mlogloss:0.006026+0.000041 test-mlogloss:1.032539+0.026710
## [235] train-mlogloss:0.006009+0.000042 test-mlogloss:1.033176+0.026876
## [236] train-mlogloss:0.005994+0.000041 test-mlogloss:1.033352+0.026640
## [237] train-mlogloss:0.005978+0.000042 test-mlogloss:1.033514+0.026240
## [238] train-mlogloss:0.005961+0.000047 test-mlogloss:1.033814+0.026074
## [239] train-mlogloss:0.005945+0.000048 test-mlogloss:1.034629+0.026397
## [240] train-mlogloss:0.005928+0.000045 test-mlogloss:1.034600+0.025510
## [241] train-mlogloss:0.005913+0.000044 test-mlogloss:1.035067+0.025572
## [242] train-mlogloss:0.005897+0.000044 test-mlogloss:1.035583+0.026560
## [243] train-mlogloss:0.005881+0.000046 test-mlogloss:1.036277+0.026469
## [244] train-mlogloss:0.005864+0.000045 test-mlogloss:1.036350+0.026378
## [245] train-mlogloss:0.005848+0.000045 test-mlogloss:1.036779+0.026589
## [246] train-mlogloss:0.005833+0.000044 test-mlogloss:1.037028+0.026869
## [247] train-mlogloss:0.005820+0.000043 test-mlogloss:1.037122+0.027201
## [248] train-mlogloss:0.005806+0.000042 test-mlogloss:1.037725+0.027156
## [249] train-mlogloss:0.005790+0.000041 test-mlogloss:1.038057+0.026587
## [250] train-mlogloss:0.005775+0.000040 test-mlogloss:1.038983+0.026743
## [251] train-mlogloss:0.005761+0.000040 test-mlogloss:1.039191+0.026596
## [252] train-mlogloss:0.005748+0.000039 test-mlogloss:1.039828+0.027047
## [253] train-mlogloss:0.005733+0.000038 test-mlogloss:1.040047+0.026746
## [254] train-mlogloss:0.005719+0.000039 test-mlogloss:1.040355+0.026820
## [255] train-mlogloss:0.005706+0.000038 test-mlogloss:1.040578+0.026511
## [256] train-mlogloss:0.005693+0.000038 test-mlogloss:1.040977+0.026966
## [257] train-mlogloss:0.005681+0.000040 test-mlogloss:1.041669+0.026782
## [258] train-mlogloss:0.005666+0.000040 test-mlogloss:1.041930+0.027000
## [259] train-mlogloss:0.005651+0.000041 test-mlogloss:1.042826+0.026877
## [260] train-mlogloss:0.005639+0.000040 test-mlogloss:1.043226+0.026883
## [261] train-mlogloss:0.005625+0.000039 test-mlogloss:1.043027+0.026864
## [262] train-mlogloss:0.005612+0.000037 test-mlogloss:1.042661+0.026572
## [263] train-mlogloss:0.005597+0.000037 test-mlogloss:1.043230+0.026906
## [264] train-mlogloss:0.005586+0.000038 test-mlogloss:1.043301+0.026753
## [265] train-mlogloss:0.005573+0.000037 test-mlogloss:1.043446+0.026711
## [266] train-mlogloss:0.005559+0.000035 test-mlogloss:1.044341+0.027286
## [267] train-mlogloss:0.005548+0.000035 test-mlogloss:1.044750+0.027213
## [268] train-mlogloss:0.005536+0.000035 test-mlogloss:1.045354+0.027209
## [269] train-mlogloss:0.005523+0.000034 test-mlogloss:1.045425+0.027294
## [270] train-mlogloss:0.005508+0.000036 test-mlogloss:1.046345+0.027082
## [271] train-mlogloss:0.005494+0.000037 test-mlogloss:1.046531+0.026721
## [272] train-mlogloss:0.005483+0.000036 test-mlogloss:1.047410+0.026828
## [273] train-mlogloss:0.005470+0.000035 test-mlogloss:1.047460+0.026229
## [274] train-mlogloss:0.005458+0.000036 test-mlogloss:1.047717+0.026336
## [275] train-mlogloss:0.005445+0.000037 test-mlogloss:1.048582+0.026629
## [276] train-mlogloss:0.005434+0.000036 test-mlogloss:1.049374+0.026684
## [277] train-mlogloss:0.005421+0.000035 test-mlogloss:1.049635+0.026373
## [278] train-mlogloss:0.005409+0.000034 test-mlogloss:1.049422+0.026431
## [279] train-mlogloss:0.005396+0.000034 test-mlogloss:1.049141+0.026266
## [280] train-mlogloss:0.005384+0.000034 test-mlogloss:1.049933+0.026308
## [281] train-mlogloss:0.005372+0.000034 test-mlogloss:1.050306+0.026467
## [282] train-mlogloss:0.005358+0.000033 test-mlogloss:1.050570+0.026298
## [283] train-mlogloss:0.005346+0.000033 test-mlogloss:1.051017+0.026094
## [284] train-mlogloss:0.005337+0.000033 test-mlogloss:1.051349+0.025450
## [285] train-mlogloss:0.005324+0.000034 test-mlogloss:1.052168+0.026553
## [286] train-mlogloss:0.005311+0.000035 test-mlogloss:1.052600+0.026071
## [287] train-mlogloss:0.005300+0.000034 test-mlogloss:1.053187+0.026926
## [288] train-mlogloss:0.005289+0.000033 test-mlogloss:1.052871+0.026827
## [289] train-mlogloss:0.005280+0.000033 test-mlogloss:1.053991+0.026432
## [290] train-mlogloss:0.005269+0.000033 test-mlogloss:1.054322+0.026423
## [291] train-mlogloss:0.005256+0.000033 test-mlogloss:1.055156+0.026381
## [292] train-mlogloss:0.005245+0.000034 test-mlogloss:1.054920+0.026151
## [293] train-mlogloss:0.005234+0.000033 test-mlogloss:1.055304+0.026439
## [294] train-mlogloss:0.005224+0.000032 test-mlogloss:1.055674+0.026434
## [295] train-mlogloss:0.005212+0.000032 test-mlogloss:1.056134+0.026095
## [296] train-mlogloss:0.005202+0.000032 test-mlogloss:1.056610+0.026208
## [297] train-mlogloss:0.005192+0.000032 test-mlogloss:1.057105+0.026551
## [298] train-mlogloss:0.005180+0.000031 test-mlogloss:1.057894+0.025912
## [299] train-mlogloss:0.005169+0.000033 test-mlogloss:1.057880+0.025923
## [300] train-mlogloss:0.005158+0.000031 test-mlogloss:1.057655+0.025738
## [301] train-mlogloss:0.005146+0.000030 test-mlogloss:1.058272+0.025792
## [302] train-mlogloss:0.005136+0.000030 test-mlogloss:1.058512+0.025977
## [303] train-mlogloss:0.005127+0.000030 test-mlogloss:1.059135+0.026061
## [304] train-mlogloss:0.005118+0.000030 test-mlogloss:1.059727+0.026208
## [305] train-mlogloss:0.005108+0.000030 test-mlogloss:1.059727+0.026187
## [306] train-mlogloss:0.005097+0.000029 test-mlogloss:1.060141+0.026349
## [307] train-mlogloss:0.005087+0.000028 test-mlogloss:1.059913+0.026386
## [308] train-mlogloss:0.005078+0.000028 test-mlogloss:1.061159+0.027097
## [309] train-mlogloss:0.005069+0.000028 test-mlogloss:1.060864+0.027465
## [310] train-mlogloss:0.005059+0.000028 test-mlogloss:1.061429+0.027317
## [311] train-mlogloss:0.005048+0.000028 test-mlogloss:1.061502+0.027775
## [312] train-mlogloss:0.005039+0.000029 test-mlogloss:1.062331+0.027036
## [313] train-mlogloss:0.005029+0.000030 test-mlogloss:1.062578+0.026910
## [314] train-mlogloss:0.005018+0.000029 test-mlogloss:1.063512+0.027321
## [315] train-mlogloss:0.005007+0.000031 test-mlogloss:1.063859+0.027729
## [316] train-mlogloss:0.004997+0.000031 test-mlogloss:1.063836+0.027712
## [317] train-mlogloss:0.004988+0.000029 test-mlogloss:1.064008+0.027571
## [318] train-mlogloss:0.004978+0.000029 test-mlogloss:1.064923+0.028228
## [319] train-mlogloss:0.004966+0.000030 test-mlogloss:1.065387+0.028559
## [320] train-mlogloss:0.004956+0.000029 test-mlogloss:1.065285+0.028238
## [321] train-mlogloss:0.004948+0.000028 test-mlogloss:1.065267+0.028320
## [322] train-mlogloss:0.004938+0.000028 test-mlogloss:1.066181+0.027715
## [323] train-mlogloss:0.004927+0.000028 test-mlogloss:1.066058+0.027967
## [324] train-mlogloss:0.004919+0.000027 test-mlogloss:1.066836+0.027568
## [325] train-mlogloss:0.004911+0.000027 test-mlogloss:1.066915+0.027503
## [326] train-mlogloss:0.004902+0.000025 test-mlogloss:1.067523+0.027328
## [327] train-mlogloss:0.004894+0.000025 test-mlogloss:1.067040+0.027095
## [328] train-mlogloss:0.004884+0.000024 test-mlogloss:1.067667+0.027222
## [329] train-mlogloss:0.004876+0.000024 test-mlogloss:1.067932+0.027820
## [330] train-mlogloss:0.004868+0.000023 test-mlogloss:1.068212+0.028222
## [331] train-mlogloss:0.004858+0.000023 test-mlogloss:1.068096+0.028029
## [332] train-mlogloss:0.004849+0.000023 test-mlogloss:1.068062+0.028161
## [333] train-mlogloss:0.004840+0.000022 test-mlogloss:1.068204+0.027944
## [334] train-mlogloss:0.004831+0.000023 test-mlogloss:1.069016+0.027384
## [335] train-mlogloss:0.004824+0.000023 test-mlogloss:1.069412+0.027431
## [336] train-mlogloss:0.004816+0.000024 test-mlogloss:1.070488+0.027209
## [337] train-mlogloss:0.004806+0.000024 test-mlogloss:1.070510+0.027516
## [338] train-mlogloss:0.004798+0.000024 test-mlogloss:1.070727+0.027559
## [339] train-mlogloss:0.004790+0.000025 test-mlogloss:1.071259+0.027979
## [340] train-mlogloss:0.004783+0.000025 test-mlogloss:1.071969+0.028140
## [341] train-mlogloss:0.004775+0.000025 test-mlogloss:1.071882+0.028156
## [342] train-mlogloss:0.004768+0.000024 test-mlogloss:1.072360+0.027703
## [343] train-mlogloss:0.004760+0.000024 test-mlogloss:1.071571+0.027281
## [344] train-mlogloss:0.004751+0.000024 test-mlogloss:1.071562+0.026987
## [345] train-mlogloss:0.004743+0.000024 test-mlogloss:1.072427+0.027065
## [346] train-mlogloss:0.004733+0.000024 test-mlogloss:1.072783+0.026682
## [347] train-mlogloss:0.004725+0.000025 test-mlogloss:1.073678+0.026659
## [348] train-mlogloss:0.004717+0.000025 test-mlogloss:1.073903+0.026932
## [349] train-mlogloss:0.004710+0.000026 test-mlogloss:1.074179+0.027195
## [350] train-mlogloss:0.004703+0.000026 test-mlogloss:1.074233+0.027016
## [351] train-mlogloss:0.004695+0.000027 test-mlogloss:1.074869+0.027274
## [352] train-mlogloss:0.004687+0.000027 test-mlogloss:1.075439+0.027388
## [353] train-mlogloss:0.004680+0.000026 test-mlogloss:1.075512+0.027746
## [354] train-mlogloss:0.004672+0.000026 test-mlogloss:1.075535+0.027594
## [355] train-mlogloss:0.004663+0.000025 test-mlogloss:1.075840+0.027567
## [356] train-mlogloss:0.004656+0.000027 test-mlogloss:1.076162+0.026834
## [357] train-mlogloss:0.004648+0.000027 test-mlogloss:1.076872+0.026896
## [358] train-mlogloss:0.004642+0.000026 test-mlogloss:1.077140+0.027125
## [359] train-mlogloss:0.004634+0.000026 test-mlogloss:1.077413+0.027524
## [360] train-mlogloss:0.004627+0.000026 test-mlogloss:1.077630+0.027741
## [361] train-mlogloss:0.004620+0.000025 test-mlogloss:1.078056+0.027233
## [362] train-mlogloss:0.004612+0.000026 test-mlogloss:1.077930+0.027374
## [363] train-mlogloss:0.004605+0.000025 test-mlogloss:1.077794+0.027731
## [364] train-mlogloss:0.004598+0.000025 test-mlogloss:1.077530+0.027559
## [365] train-mlogloss:0.004591+0.000026 test-mlogloss:1.078004+0.027740
## [366] train-mlogloss:0.004583+0.000025 test-mlogloss:1.078058+0.028145
## [367] train-mlogloss:0.004575+0.000025 test-mlogloss:1.079308+0.028008
## [368] train-mlogloss:0.004567+0.000024 test-mlogloss:1.078882+0.028417
## [369] train-mlogloss:0.004560+0.000024 test-mlogloss:1.079277+0.028283
## [370] train-mlogloss:0.004552+0.000023 test-mlogloss:1.079351+0.028185
## [371] train-mlogloss:0.004544+0.000023 test-mlogloss:1.080446+0.028295
## [372] train-mlogloss:0.004536+0.000023 test-mlogloss:1.079992+0.028223
## [373] train-mlogloss:0.004530+0.000022 test-mlogloss:1.079993+0.027901
## [374] train-mlogloss:0.004523+0.000021 test-mlogloss:1.080927+0.027825
## [375] train-mlogloss:0.004516+0.000022 test-mlogloss:1.081500+0.028001
## [376] train-mlogloss:0.004509+0.000021 test-mlogloss:1.081832+0.027893
## [377] train-mlogloss:0.004501+0.000021 test-mlogloss:1.081728+0.027800
## [378] train-mlogloss:0.004496+0.000022 test-mlogloss:1.082450+0.028007
## [379] train-mlogloss:0.004489+0.000022 test-mlogloss:1.082265+0.028102
## [380] train-mlogloss:0.004481+0.000022 test-mlogloss:1.082695+0.028449
## [381] train-mlogloss:0.004475+0.000022 test-mlogloss:1.083266+0.028235
## [382] train-mlogloss:0.004468+0.000023 test-mlogloss:1.083789+0.028519
## [383] train-mlogloss:0.004461+0.000022 test-mlogloss:1.084223+0.028508
## [384] train-mlogloss:0.004456+0.000023 test-mlogloss:1.084291+0.029083
## [385] train-mlogloss:0.004449+0.000022 test-mlogloss:1.084608+0.028957
## [386] train-mlogloss:0.004442+0.000023 test-mlogloss:1.084808+0.028874
## [387] train-mlogloss:0.004435+0.000023 test-mlogloss:1.085218+0.028138
## [388] train-mlogloss:0.004430+0.000023 test-mlogloss:1.085663+0.028082
## [389] train-mlogloss:0.004423+0.000024 test-mlogloss:1.085897+0.028656
## [390] train-mlogloss:0.004416+0.000023 test-mlogloss:1.086511+0.028132
## [391] train-mlogloss:0.004409+0.000023 test-mlogloss:1.087210+0.028051
## [392] train-mlogloss:0.004402+0.000023 test-mlogloss:1.086872+0.028278
## [393] train-mlogloss:0.004396+0.000023 test-mlogloss:1.087257+0.028189
## [394] train-mlogloss:0.004389+0.000023 test-mlogloss:1.087206+0.028300
## [395] train-mlogloss:0.004383+0.000023 test-mlogloss:1.087621+0.028406
## [396] train-mlogloss:0.004375+0.000023 test-mlogloss:1.087433+0.028181
## [397] train-mlogloss:0.004368+0.000024 test-mlogloss:1.087551+0.028713
## [398] train-mlogloss:0.004363+0.000024 test-mlogloss:1.087480+0.028583
## [399] train-mlogloss:0.004357+0.000025 test-mlogloss:1.087737+0.028852
## [400] train-mlogloss:0.004351+0.000024 test-mlogloss:1.088297+0.028213
## [401] train-mlogloss:0.004346+0.000024 test-mlogloss:1.088588+0.028257
## [402] train-mlogloss:0.004340+0.000023 test-mlogloss:1.089515+0.028802
## [403] train-mlogloss:0.004335+0.000023 test-mlogloss:1.089582+0.029201
## [404] train-mlogloss:0.004330+0.000023 test-mlogloss:1.089002+0.029663
## [405] train-mlogloss:0.004323+0.000023 test-mlogloss:1.088916+0.029208
## [406] train-mlogloss:0.004316+0.000023 test-mlogloss:1.090138+0.029544
## [407] train-mlogloss:0.004310+0.000024 test-mlogloss:1.090094+0.029160
## [408] train-mlogloss:0.004303+0.000024 test-mlogloss:1.090631+0.029051
## [409] train-mlogloss:0.004297+0.000024 test-mlogloss:1.090427+0.028701
## [410] train-mlogloss:0.004292+0.000024 test-mlogloss:1.090286+0.028256
## [411] train-mlogloss:0.004287+0.000023 test-mlogloss:1.090272+0.028365
## [412] train-mlogloss:0.004281+0.000024 test-mlogloss:1.090926+0.028866
## [413] train-mlogloss:0.004274+0.000024 test-mlogloss:1.091626+0.028966
## [414] train-mlogloss:0.004268+0.000024 test-mlogloss:1.090938+0.028876
## [415] train-mlogloss:0.004262+0.000024 test-mlogloss:1.091238+0.028984
## [416] train-mlogloss:0.004256+0.000025 test-mlogloss:1.091879+0.029192
## [417] train-mlogloss:0.004251+0.000024 test-mlogloss:1.092226+0.029238
## [418] train-mlogloss:0.004245+0.000024 test-mlogloss:1.092176+0.029187
## [419] train-mlogloss:0.004239+0.000024 test-mlogloss:1.092019+0.029140
## [420] train-mlogloss:0.004233+0.000023 test-mlogloss:1.092425+0.029141
## [421] train-mlogloss:0.004228+0.000023 test-mlogloss:1.092442+0.028950
## [422] train-mlogloss:0.004223+0.000023 test-mlogloss:1.093080+0.028829
## [423] train-mlogloss:0.004217+0.000023 test-mlogloss:1.093270+0.029048
## [424] train-mlogloss:0.004212+0.000024 test-mlogloss:1.093777+0.029852
## [425] train-mlogloss:0.004207+0.000024 test-mlogloss:1.094418+0.030314
## [426] train-mlogloss:0.004201+0.000024 test-mlogloss:1.094614+0.030695
## [427] train-mlogloss:0.004196+0.000023 test-mlogloss:1.094682+0.030098
## [428] train-mlogloss:0.004191+0.000023 test-mlogloss:1.095261+0.029570
## [429] train-mlogloss:0.004184+0.000023 test-mlogloss:1.095178+0.030180
## [430] train-mlogloss:0.004178+0.000023 test-mlogloss:1.095075+0.029862
## [431] train-mlogloss:0.004173+0.000023 test-mlogloss:1.095048+0.029815
## [432] train-mlogloss:0.004167+0.000023 test-mlogloss:1.095189+0.029705
## [433] train-mlogloss:0.004162+0.000024 test-mlogloss:1.095440+0.029370
## [434] train-mlogloss:0.004156+0.000024 test-mlogloss:1.095233+0.029788
## [435] train-mlogloss:0.004149+0.000024 test-mlogloss:1.095972+0.029804
## [436] train-mlogloss:0.004144+0.000023 test-mlogloss:1.096429+0.029298
## [437] train-mlogloss:0.004139+0.000024 test-mlogloss:1.096611+0.029180
## [438] train-mlogloss:0.004134+0.000024 test-mlogloss:1.096804+0.029239
## [439] train-mlogloss:0.004128+0.000024 test-mlogloss:1.097410+0.029277
## [440] train-mlogloss:0.004123+0.000024 test-mlogloss:1.097935+0.028871
## [441] train-mlogloss:0.004118+0.000025 test-mlogloss:1.098186+0.029330
## [442] train-mlogloss:0.004113+0.000025 test-mlogloss:1.098663+0.029188
## [443] train-mlogloss:0.004108+0.000025 test-mlogloss:1.098832+0.029659
## [444] train-mlogloss:0.004103+0.000025 test-mlogloss:1.099211+0.029428
## [445] train-mlogloss:0.004098+0.000024 test-mlogloss:1.099049+0.029649
## [446] train-mlogloss:0.004093+0.000025 test-mlogloss:1.099806+0.030336
## [447] train-mlogloss:0.004089+0.000026 test-mlogloss:1.100095+0.030838
## [448] train-mlogloss:0.004084+0.000026 test-mlogloss:1.100802+0.030606
## [449] train-mlogloss:0.004079+0.000026 test-mlogloss:1.100626+0.030693
## [450] train-mlogloss:0.004074+0.000027 test-mlogloss:1.100992+0.030871
## [451] train-mlogloss:0.004069+0.000028 test-mlogloss:1.101103+0.030591
## [452] train-mlogloss:0.004065+0.000027 test-mlogloss:1.100985+0.031284
## [453] train-mlogloss:0.004060+0.000028 test-mlogloss:1.101214+0.030824
## [454] train-mlogloss:0.004054+0.000028 test-mlogloss:1.101489+0.030759
## [455] train-mlogloss:0.004050+0.000027 test-mlogloss:1.102059+0.031265
## [456] train-mlogloss:0.004045+0.000027 test-mlogloss:1.102664+0.030928
## [457] train-mlogloss:0.004040+0.000027 test-mlogloss:1.103568+0.031062
## [458] train-mlogloss:0.004036+0.000026 test-mlogloss:1.103420+0.030886
## [459] train-mlogloss:0.004030+0.000027 test-mlogloss:1.103735+0.030813
## [460] train-mlogloss:0.004024+0.000027 test-mlogloss:1.103724+0.030251
## [461] train-mlogloss:0.004020+0.000028 test-mlogloss:1.104093+0.030663
## [462] train-mlogloss:0.004015+0.000028 test-mlogloss:1.104226+0.030309
## [463] train-mlogloss:0.004010+0.000027 test-mlogloss:1.104314+0.030088
## [464] train-mlogloss:0.004005+0.000026 test-mlogloss:1.104742+0.030282
## [465] train-mlogloss:0.004000+0.000025 test-mlogloss:1.103945+0.030156
## [466] train-mlogloss:0.003996+0.000025 test-mlogloss:1.104445+0.030303
## [467] train-mlogloss:0.003991+0.000025 test-mlogloss:1.105045+0.030848
## [468] train-mlogloss:0.003986+0.000025 test-mlogloss:1.105229+0.030843
## [469] train-mlogloss:0.003982+0.000024 test-mlogloss:1.105505+0.030745
## [470] train-mlogloss:0.003978+0.000025 test-mlogloss:1.105367+0.030905
## [471] train-mlogloss:0.003973+0.000024 test-mlogloss:1.104929+0.031040
## [472] train-mlogloss:0.003969+0.000024 test-mlogloss:1.105374+0.030946
## [473] train-mlogloss:0.003964+0.000025 test-mlogloss:1.105657+0.031029
## [474] train-mlogloss:0.003959+0.000026 test-mlogloss:1.106481+0.031189
## [475] train-mlogloss:0.003955+0.000027 test-mlogloss:1.106669+0.031311
## [476] train-mlogloss:0.003950+0.000027 test-mlogloss:1.106278+0.031301
## [477] train-mlogloss:0.003945+0.000028 test-mlogloss:1.106386+0.031352
## [478] train-mlogloss:0.003941+0.000028 test-mlogloss:1.106299+0.031859
## [479] train-mlogloss:0.003937+0.000028 test-mlogloss:1.107043+0.031008
## [480] train-mlogloss:0.003932+0.000027 test-mlogloss:1.107282+0.031212
## [481] train-mlogloss:0.003927+0.000027 test-mlogloss:1.107092+0.031181
## [482] train-mlogloss:0.003923+0.000027 test-mlogloss:1.107310+0.031442
## [483] train-mlogloss:0.003918+0.000027 test-mlogloss:1.107473+0.031110
## [484] train-mlogloss:0.003913+0.000026 test-mlogloss:1.108043+0.030943
## [485] train-mlogloss:0.003909+0.000026 test-mlogloss:1.108070+0.030399
## [486] train-mlogloss:0.003906+0.000027 test-mlogloss:1.108250+0.030776
## [487] train-mlogloss:0.003901+0.000026 test-mlogloss:1.108018+0.030828
## [488] train-mlogloss:0.003897+0.000025 test-mlogloss:1.107891+0.031050
## [489] train-mlogloss:0.003893+0.000026 test-mlogloss:1.108482+0.030527
## [490] train-mlogloss:0.003888+0.000026 test-mlogloss:1.108989+0.030460
## [491] train-mlogloss:0.003884+0.000025 test-mlogloss:1.108665+0.030286
## [492] train-mlogloss:0.003879+0.000026 test-mlogloss:1.109345+0.030485
## [493] train-mlogloss:0.003875+0.000026 test-mlogloss:1.109298+0.031111
## [494] train-mlogloss:0.003871+0.000025 test-mlogloss:1.109579+0.031426
## [495] train-mlogloss:0.003867+0.000024 test-mlogloss:1.109469+0.031444
## [496] train-mlogloss:0.003863+0.000025 test-mlogloss:1.110099+0.031691
## [497] train-mlogloss:0.003859+0.000025 test-mlogloss:1.110085+0.031743
## [498] train-mlogloss:0.003854+0.000025 test-mlogloss:1.110574+0.031919
## [499] train-mlogloss:0.003849+0.000025 test-mlogloss:1.110848+0.031749
## [500] train-mlogloss:0.003845+0.000026 test-mlogloss:1.111102+0.031702
## [1] train-mlogloss:0.526731+0.002406 test-mlogloss:0.552332+0.005098
## [2] train-mlogloss:0.503100+0.001695 test-mlogloss:0.543988+0.005140
## [3] train-mlogloss:0.491981+0.002379 test-mlogloss:0.544372+0.004718
## [4] train-mlogloss:0.483466+0.003819 test-mlogloss:0.547976+0.005304
## [5] train-mlogloss:0.471888+0.002905 test-mlogloss:0.552608+0.004327
## [6] train-mlogloss:0.463846+0.003175 test-mlogloss:0.556793+0.006116
## [7] train-mlogloss:0.456197+0.001899 test-mlogloss:0.561670+0.004764
## [8] train-mlogloss:0.448644+0.001904 test-mlogloss:0.561820+0.004882
## [9] train-mlogloss:0.440598+0.003702 test-mlogloss:0.564887+0.005040
## [10] train-mlogloss:0.433489+0.005298 test-mlogloss:0.567417+0.004860
## [11] train-mlogloss:0.425976+0.005960 test-mlogloss:0.571283+0.005105
## [12] train-mlogloss:0.418490+0.005470 test-mlogloss:0.575105+0.005117
## [13] train-mlogloss:0.409089+0.004950 test-mlogloss:0.581769+0.005020
## [14] train-mlogloss:0.400889+0.003857 test-mlogloss:0.584958+0.006488
## [15] train-mlogloss:0.392963+0.002447 test-mlogloss:0.587998+0.005265
## [16] train-mlogloss:0.385169+0.001909 test-mlogloss:0.592479+0.005747
## [17] train-mlogloss:0.378312+0.002821 test-mlogloss:0.596345+0.006586
## [18] train-mlogloss:0.371536+0.002623 test-mlogloss:0.600969+0.006513
## [19] train-mlogloss:0.364543+0.002424 test-mlogloss:0.603773+0.006866
## [20] train-mlogloss:0.357843+0.002020 test-mlogloss:0.608851+0.006959
## [21] train-mlogloss:0.351700+0.002384 test-mlogloss:0.612685+0.007684
## [22] train-mlogloss:0.346195+0.001910 test-mlogloss:0.614781+0.007747
## [23] train-mlogloss:0.341240+0.001750 test-mlogloss:0.616819+0.008094
## [24] train-mlogloss:0.336795+0.001587 test-mlogloss:0.620023+0.008197
## [25] train-mlogloss:0.330453+0.001781 test-mlogloss:0.620823+0.008413
## [26] train-mlogloss:0.324742+0.002276 test-mlogloss:0.623895+0.007265
## [27] train-mlogloss:0.318754+0.001125 test-mlogloss:0.627652+0.005731
## [28] train-mlogloss:0.312651+0.001305 test-mlogloss:0.629811+0.006831
## [29] train-mlogloss:0.308221+0.002065 test-mlogloss:0.633268+0.007801
## [30] train-mlogloss:0.302311+0.001949 test-mlogloss:0.637831+0.007296
## [31] train-mlogloss:0.296632+0.002237 test-mlogloss:0.642004+0.009421
## [32] train-mlogloss:0.290885+0.002188 test-mlogloss:0.645553+0.008112
## [33] train-mlogloss:0.285563+0.002336 test-mlogloss:0.649760+0.009062
## [34] train-mlogloss:0.280359+0.001950 test-mlogloss:0.654486+0.007439
## [35] train-mlogloss:0.275296+0.001479 test-mlogloss:0.656585+0.006443
## [36] train-mlogloss:0.271506+0.001706 test-mlogloss:0.661336+0.007581
## [37] train-mlogloss:0.267494+0.001162 test-mlogloss:0.664862+0.006572
## [38] train-mlogloss:0.262698+0.001831 test-mlogloss:0.667731+0.006850
## [39] train-mlogloss:0.258686+0.001923 test-mlogloss:0.669172+0.006148
## [40] train-mlogloss:0.253930+0.002311 test-mlogloss:0.672063+0.005736
## [41] train-mlogloss:0.250170+0.002062 test-mlogloss:0.674310+0.005514
## [42] train-mlogloss:0.245476+0.002148 test-mlogloss:0.677154+0.006033
## [43] train-mlogloss:0.241272+0.002266 test-mlogloss:0.678263+0.007267
## [44] train-mlogloss:0.237327+0.002269 test-mlogloss:0.679896+0.006928
## [45] train-mlogloss:0.232829+0.001833 test-mlogloss:0.684069+0.008485
## [46] train-mlogloss:0.228415+0.002302 test-mlogloss:0.688871+0.010200
## [47] train-mlogloss:0.224071+0.001936 test-mlogloss:0.692064+0.009543
## [48] train-mlogloss:0.220723+0.002050 test-mlogloss:0.695462+0.009446
## [49] train-mlogloss:0.216697+0.002347 test-mlogloss:0.697135+0.008399
## [50] train-mlogloss:0.213078+0.002071 test-mlogloss:0.699742+0.008844
## [51] train-mlogloss:0.209339+0.003022 test-mlogloss:0.701870+0.010698
## [52] train-mlogloss:0.205646+0.002732 test-mlogloss:0.704695+0.009193
## [53] train-mlogloss:0.202055+0.003317 test-mlogloss:0.708003+0.010468
## [54] train-mlogloss:0.198697+0.003736 test-mlogloss:0.710584+0.011182
## [55] train-mlogloss:0.195519+0.003731 test-mlogloss:0.713831+0.010109
## [56] train-mlogloss:0.192610+0.004019 test-mlogloss:0.716068+0.009306
## [57] train-mlogloss:0.189486+0.003796 test-mlogloss:0.719411+0.012397
## [58] train-mlogloss:0.186294+0.003612 test-mlogloss:0.721770+0.012251
## [59] train-mlogloss:0.183128+0.003097 test-mlogloss:0.722709+0.011490
## [60] train-mlogloss:0.179905+0.002933 test-mlogloss:0.726015+0.011406
## [61] train-mlogloss:0.176654+0.003095 test-mlogloss:0.726932+0.010509
## [62] train-mlogloss:0.173550+0.003308 test-mlogloss:0.730106+0.010753
## [63] train-mlogloss:0.170553+0.003295 test-mlogloss:0.732799+0.009828
## [64] train-mlogloss:0.167681+0.002965 test-mlogloss:0.732207+0.010482
## [65] train-mlogloss:0.164782+0.002638 test-mlogloss:0.735167+0.010197
## [66] train-mlogloss:0.162144+0.002105 test-mlogloss:0.735723+0.010270
## [67] train-mlogloss:0.158917+0.002399 test-mlogloss:0.740438+0.011726
## [68] train-mlogloss:0.156310+0.002380 test-mlogloss:0.742667+0.009251
## [69] train-mlogloss:0.153983+0.002474 test-mlogloss:0.746204+0.007160
## [70] train-mlogloss:0.151412+0.002780 test-mlogloss:0.748372+0.006359
## [71] train-mlogloss:0.148945+0.003203 test-mlogloss:0.751328+0.008565
## [72] train-mlogloss:0.146644+0.003256 test-mlogloss:0.754010+0.008951
## [73] train-mlogloss:0.144520+0.003397 test-mlogloss:0.755551+0.009745
## [74] train-mlogloss:0.141892+0.003170 test-mlogloss:0.758917+0.011341
## [75] train-mlogloss:0.139968+0.002918 test-mlogloss:0.761779+0.011079
## [76] train-mlogloss:0.138132+0.002555 test-mlogloss:0.763801+0.011942
## [77] train-mlogloss:0.136223+0.002768 test-mlogloss:0.765642+0.011187
## [78] train-mlogloss:0.133705+0.002568 test-mlogloss:0.769063+0.012460
## [79] train-mlogloss:0.131733+0.002929 test-mlogloss:0.771568+0.013441
## [80] train-mlogloss:0.129273+0.002842 test-mlogloss:0.774556+0.012940
## [81] train-mlogloss:0.127326+0.002998 test-mlogloss:0.777660+0.011682
## [82] train-mlogloss:0.125412+0.002961 test-mlogloss:0.780903+0.008853
## [83] train-mlogloss:0.123452+0.003061 test-mlogloss:0.784788+0.007425
## [84] train-mlogloss:0.121770+0.003230 test-mlogloss:0.785378+0.007551
## [85] train-mlogloss:0.119617+0.003082 test-mlogloss:0.789424+0.007997
## [86] train-mlogloss:0.117263+0.003215 test-mlogloss:0.791252+0.008870
## [87] train-mlogloss:0.115449+0.003026 test-mlogloss:0.793400+0.007393
## [88] train-mlogloss:0.113676+0.002916 test-mlogloss:0.795938+0.007161
## [89] train-mlogloss:0.112312+0.003067 test-mlogloss:0.798131+0.006265
## [90] train-mlogloss:0.110469+0.003261 test-mlogloss:0.799465+0.005698
## [91] train-mlogloss:0.109020+0.003076 test-mlogloss:0.801012+0.005521
## [92] train-mlogloss:0.107325+0.002926 test-mlogloss:0.804249+0.005172
## [93] train-mlogloss:0.105809+0.002829 test-mlogloss:0.806331+0.005282
## [94] train-mlogloss:0.104164+0.002520 test-mlogloss:0.807497+0.005355
## [95] train-mlogloss:0.102914+0.002163 test-mlogloss:0.810753+0.005560
## [96] train-mlogloss:0.101637+0.002334 test-mlogloss:0.813003+0.006460
## [97] train-mlogloss:0.100367+0.002409 test-mlogloss:0.813357+0.005112
## [98] train-mlogloss:0.099157+0.002306 test-mlogloss:0.815624+0.006527
## [99] train-mlogloss:0.097844+0.002341 test-mlogloss:0.817825+0.005285
## [100] train-mlogloss:0.095992+0.002431 test-mlogloss:0.818411+0.004770
## [101] train-mlogloss:0.094769+0.002142 test-mlogloss:0.821077+0.004964
## [102] train-mlogloss:0.093492+0.002306 test-mlogloss:0.821426+0.006942
## [103] train-mlogloss:0.092100+0.002652 test-mlogloss:0.822915+0.007131
## [104] train-mlogloss:0.090647+0.002428 test-mlogloss:0.825139+0.005954
## [105] train-mlogloss:0.088944+0.002534 test-mlogloss:0.827983+0.006013
## [106] train-mlogloss:0.087777+0.002578 test-mlogloss:0.829233+0.005093
## [107] train-mlogloss:0.086631+0.002417 test-mlogloss:0.830977+0.006035
## [108] train-mlogloss:0.085185+0.002371 test-mlogloss:0.834892+0.007103
## [109] train-mlogloss:0.083926+0.002372 test-mlogloss:0.836143+0.008643
## [110] train-mlogloss:0.082854+0.002320 test-mlogloss:0.836411+0.009200
## [111] train-mlogloss:0.081744+0.002365 test-mlogloss:0.836926+0.009056
## [112] train-mlogloss:0.080541+0.002427 test-mlogloss:0.839089+0.008548
## [113] train-mlogloss:0.079253+0.002178 test-mlogloss:0.841175+0.010256
## [114] train-mlogloss:0.078309+0.002018 test-mlogloss:0.842710+0.009653
## [115] train-mlogloss:0.077119+0.001926 test-mlogloss:0.845322+0.008964
## [116] train-mlogloss:0.076091+0.001782 test-mlogloss:0.846021+0.009130
## [117] train-mlogloss:0.074958+0.001509 test-mlogloss:0.848478+0.007615
## [118] train-mlogloss:0.073886+0.001570 test-mlogloss:0.848917+0.006960
## [119] train-mlogloss:0.072797+0.001654 test-mlogloss:0.851196+0.006791
## [120] train-mlogloss:0.071661+0.001843 test-mlogloss:0.853491+0.007137
## [121] train-mlogloss:0.070836+0.001696 test-mlogloss:0.855642+0.007420
## [122] train-mlogloss:0.069779+0.001769 test-mlogloss:0.857446+0.006790
## [123] train-mlogloss:0.068803+0.001898 test-mlogloss:0.858890+0.008274
## [124] train-mlogloss:0.067777+0.002000 test-mlogloss:0.861866+0.009652
## [125] train-mlogloss:0.066829+0.002060 test-mlogloss:0.862546+0.010854
## [126] train-mlogloss:0.065836+0.001980 test-mlogloss:0.863718+0.011123
## [127] train-mlogloss:0.064943+0.002107 test-mlogloss:0.867134+0.011895
## [128] train-mlogloss:0.064189+0.002052 test-mlogloss:0.867639+0.012237
## [129] train-mlogloss:0.063344+0.001932 test-mlogloss:0.870333+0.012794
## [130] train-mlogloss:0.062611+0.001898 test-mlogloss:0.872469+0.013628
## [131] train-mlogloss:0.061646+0.001834 test-mlogloss:0.875112+0.014563
## [132] train-mlogloss:0.060991+0.001899 test-mlogloss:0.877577+0.014789
## [133] train-mlogloss:0.060118+0.001935 test-mlogloss:0.879614+0.014998
## [134] train-mlogloss:0.059504+0.001998 test-mlogloss:0.881318+0.014657
## [135] train-mlogloss:0.058621+0.002032 test-mlogloss:0.883824+0.015495
## [136] train-mlogloss:0.057897+0.001993 test-mlogloss:0.885428+0.015997
## [137] train-mlogloss:0.057358+0.002053 test-mlogloss:0.886445+0.015692
## [138] train-mlogloss:0.056707+0.002025 test-mlogloss:0.888559+0.015360
## [139] train-mlogloss:0.056064+0.002010 test-mlogloss:0.889667+0.014778
## [140] train-mlogloss:0.055344+0.002177 test-mlogloss:0.892534+0.014066
## [141] train-mlogloss:0.054661+0.002295 test-mlogloss:0.894067+0.014610
## [142] train-mlogloss:0.053982+0.002112 test-mlogloss:0.896286+0.014870
## [143] train-mlogloss:0.053357+0.002135 test-mlogloss:0.897954+0.014734
## [144] train-mlogloss:0.052695+0.002180 test-mlogloss:0.899492+0.015319
## [145] train-mlogloss:0.052182+0.002111 test-mlogloss:0.901302+0.015350
## [146] train-mlogloss:0.051676+0.002171 test-mlogloss:0.902760+0.014907
## [147] train-mlogloss:0.051062+0.002152 test-mlogloss:0.903807+0.015044
## [148] train-mlogloss:0.050493+0.002133 test-mlogloss:0.905030+0.015523
## [149] train-mlogloss:0.049868+0.002004 test-mlogloss:0.907013+0.014375
## [150] train-mlogloss:0.049226+0.001916 test-mlogloss:0.907933+0.014069
## [151] train-mlogloss:0.048862+0.001828 test-mlogloss:0.908663+0.013207
## [152] train-mlogloss:0.048484+0.001785 test-mlogloss:0.909694+0.013735
## [153] train-mlogloss:0.047939+0.001692 test-mlogloss:0.910911+0.013389
## [154] train-mlogloss:0.047534+0.001592 test-mlogloss:0.912306+0.014142
## [155] train-mlogloss:0.047079+0.001577 test-mlogloss:0.912117+0.014329
## [156] train-mlogloss:0.046545+0.001599 test-mlogloss:0.915496+0.013107
## [157] train-mlogloss:0.046059+0.001506 test-mlogloss:0.916878+0.014137
## [158] train-mlogloss:0.045602+0.001449 test-mlogloss:0.917603+0.012926
## [159] train-mlogloss:0.045048+0.001499 test-mlogloss:0.919817+0.015032
## [160] train-mlogloss:0.044644+0.001576 test-mlogloss:0.920366+0.015393
## [161] train-mlogloss:0.044243+0.001513 test-mlogloss:0.921722+0.014728
## [162] train-mlogloss:0.043778+0.001486 test-mlogloss:0.924038+0.014924
## [163] train-mlogloss:0.043488+0.001486 test-mlogloss:0.926033+0.015215
## [164] train-mlogloss:0.043045+0.001452 test-mlogloss:0.927338+0.015492
## [165] train-mlogloss:0.042585+0.001457 test-mlogloss:0.927712+0.016014
## [166] train-mlogloss:0.042185+0.001443 test-mlogloss:0.929185+0.015297
## [167] train-mlogloss:0.041752+0.001543 test-mlogloss:0.930465+0.015642
## [168] train-mlogloss:0.041300+0.001527 test-mlogloss:0.932034+0.014800
## [169] train-mlogloss:0.040993+0.001522 test-mlogloss:0.933845+0.015515
## [170] train-mlogloss:0.040621+0.001529 test-mlogloss:0.934379+0.015499
## [171] train-mlogloss:0.040163+0.001446 test-mlogloss:0.934622+0.015061
## [172] train-mlogloss:0.039747+0.001417 test-mlogloss:0.937508+0.015549
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## [174] train-mlogloss:0.039018+0.001417 test-mlogloss:0.940990+0.016254
## [175] train-mlogloss:0.038688+0.001382 test-mlogloss:0.940389+0.016142
## [176] train-mlogloss:0.038277+0.001386 test-mlogloss:0.941891+0.017007
## [177] train-mlogloss:0.037893+0.001324 test-mlogloss:0.944403+0.017039
## [178] train-mlogloss:0.037517+0.001329 test-mlogloss:0.946371+0.017653
## [179] train-mlogloss:0.037117+0.001297 test-mlogloss:0.948984+0.017068
## [180] train-mlogloss:0.036771+0.001235 test-mlogloss:0.950236+0.017176
## [181] train-mlogloss:0.036401+0.001198 test-mlogloss:0.951464+0.016663
## [182] train-mlogloss:0.035956+0.001136 test-mlogloss:0.953378+0.016801
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## [184] train-mlogloss:0.035242+0.001217 test-mlogloss:0.955897+0.019581
## [185] train-mlogloss:0.034803+0.001268 test-mlogloss:0.959190+0.020371
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## [188] train-mlogloss:0.033739+0.001265 test-mlogloss:0.963172+0.018978
## [189] train-mlogloss:0.033474+0.001291 test-mlogloss:0.964328+0.018314
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## [194] train-mlogloss:0.031905+0.001143 test-mlogloss:0.972652+0.019209
## [195] train-mlogloss:0.031595+0.001098 test-mlogloss:0.974512+0.019137
## [196] train-mlogloss:0.031232+0.001051 test-mlogloss:0.976330+0.017951
## [197] train-mlogloss:0.030950+0.001001 test-mlogloss:0.977152+0.018141
## [198] train-mlogloss:0.030680+0.000992 test-mlogloss:0.978585+0.017681
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## [200] train-mlogloss:0.030147+0.000954 test-mlogloss:0.980884+0.018061
## [201] train-mlogloss:0.029927+0.000939 test-mlogloss:0.982981+0.016842
## [202] train-mlogloss:0.029661+0.000950 test-mlogloss:0.983782+0.016765
## [203] train-mlogloss:0.029383+0.000962 test-mlogloss:0.985854+0.015953
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## [205] train-mlogloss:0.028928+0.000973 test-mlogloss:0.987219+0.015940
## [206] train-mlogloss:0.028654+0.000922 test-mlogloss:0.988203+0.016315
## [207] train-mlogloss:0.028422+0.000941 test-mlogloss:0.990465+0.016659
## [208] train-mlogloss:0.028206+0.000885 test-mlogloss:0.991674+0.017890
## [209] train-mlogloss:0.027932+0.000883 test-mlogloss:0.992872+0.017777
## [210] train-mlogloss:0.027667+0.000842 test-mlogloss:0.994648+0.016436
## [211] train-mlogloss:0.027414+0.000827 test-mlogloss:0.995831+0.015333
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## [213] train-mlogloss:0.026929+0.000850 test-mlogloss:0.997509+0.014786
## [214] train-mlogloss:0.026712+0.000810 test-mlogloss:0.998829+0.014421
## [215] train-mlogloss:0.026454+0.000814 test-mlogloss:1.000326+0.014679
## [216] train-mlogloss:0.026175+0.000770 test-mlogloss:1.001911+0.013735
## [217] train-mlogloss:0.025940+0.000716 test-mlogloss:1.003276+0.014965
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## [219] train-mlogloss:0.025497+0.000677 test-mlogloss:1.005252+0.012934
## [220] train-mlogloss:0.025297+0.000663 test-mlogloss:1.005776+0.013919
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## [222] train-mlogloss:0.024899+0.000692 test-mlogloss:1.008941+0.014022
## [223] train-mlogloss:0.024728+0.000667 test-mlogloss:1.010106+0.014084
## [224] train-mlogloss:0.024560+0.000661 test-mlogloss:1.011892+0.014118
## [225] train-mlogloss:0.024382+0.000695 test-mlogloss:1.013922+0.014242
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## [227] train-mlogloss:0.023981+0.000673 test-mlogloss:1.016836+0.015203
## [228] train-mlogloss:0.023807+0.000695 test-mlogloss:1.017919+0.015752
## [229] train-mlogloss:0.023662+0.000686 test-mlogloss:1.019474+0.014621
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## [235] train-mlogloss:0.022634+0.000678 test-mlogloss:1.025299+0.013880
## [236] train-mlogloss:0.022472+0.000647 test-mlogloss:1.026161+0.012726
## [237] train-mlogloss:0.022279+0.000650 test-mlogloss:1.025863+0.014001
## [238] train-mlogloss:0.022130+0.000649 test-mlogloss:1.027415+0.013312
## [239] train-mlogloss:0.021965+0.000617 test-mlogloss:1.027838+0.015050
## [240] train-mlogloss:0.021792+0.000598 test-mlogloss:1.028966+0.014394
## [241] train-mlogloss:0.021616+0.000599 test-mlogloss:1.030058+0.014553
## [242] train-mlogloss:0.021440+0.000586 test-mlogloss:1.031107+0.014396
## [243] train-mlogloss:0.021297+0.000547 test-mlogloss:1.032648+0.014112
## [244] train-mlogloss:0.021161+0.000542 test-mlogloss:1.031490+0.013293
## [245] train-mlogloss:0.021024+0.000527 test-mlogloss:1.032905+0.014272
## [246] train-mlogloss:0.020907+0.000528 test-mlogloss:1.033663+0.013494
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## [248] train-mlogloss:0.020652+0.000527 test-mlogloss:1.035369+0.013318
## [249] train-mlogloss:0.020485+0.000531 test-mlogloss:1.035540+0.013324
## [250] train-mlogloss:0.020356+0.000547 test-mlogloss:1.036042+0.013767
## [251] train-mlogloss:0.020190+0.000546 test-mlogloss:1.036370+0.012839
## [252] train-mlogloss:0.020060+0.000588 test-mlogloss:1.036979+0.013296
## [253] train-mlogloss:0.019917+0.000597 test-mlogloss:1.038043+0.013381
## [254] train-mlogloss:0.019782+0.000607 test-mlogloss:1.039283+0.013666
## [255] train-mlogloss:0.019661+0.000571 test-mlogloss:1.040256+0.013793
## [256] train-mlogloss:0.019508+0.000591 test-mlogloss:1.042016+0.014034
## [257] train-mlogloss:0.019410+0.000594 test-mlogloss:1.042787+0.014702
## [258] train-mlogloss:0.019271+0.000584 test-mlogloss:1.042830+0.014515
## [259] train-mlogloss:0.019166+0.000592 test-mlogloss:1.043970+0.014179
## [260] train-mlogloss:0.019040+0.000568 test-mlogloss:1.045469+0.013961
## [261] train-mlogloss:0.018920+0.000565 test-mlogloss:1.046162+0.013931
## [262] train-mlogloss:0.018796+0.000563 test-mlogloss:1.046287+0.013979
## [263] train-mlogloss:0.018670+0.000561 test-mlogloss:1.047855+0.014123
## [264] train-mlogloss:0.018542+0.000554 test-mlogloss:1.049206+0.014579
## [265] train-mlogloss:0.018401+0.000564 test-mlogloss:1.050888+0.014733
## [266] train-mlogloss:0.018277+0.000546 test-mlogloss:1.052466+0.014120
## [267] train-mlogloss:0.018162+0.000516 test-mlogloss:1.054149+0.013707
## [268] train-mlogloss:0.018060+0.000508 test-mlogloss:1.054865+0.014094
## [269] train-mlogloss:0.017964+0.000497 test-mlogloss:1.056002+0.014845
## [270] train-mlogloss:0.017849+0.000460 test-mlogloss:1.056366+0.014057
## [271] train-mlogloss:0.017758+0.000440 test-mlogloss:1.056784+0.014429
## [272] train-mlogloss:0.017661+0.000420 test-mlogloss:1.058042+0.013879
## [273] train-mlogloss:0.017552+0.000399 test-mlogloss:1.059876+0.014231
## [274] train-mlogloss:0.017443+0.000380 test-mlogloss:1.060910+0.013765
## [275] train-mlogloss:0.017313+0.000374 test-mlogloss:1.061482+0.013289
## [276] train-mlogloss:0.017213+0.000377 test-mlogloss:1.062976+0.014122
## [277] train-mlogloss:0.017089+0.000367 test-mlogloss:1.063811+0.013012
## [278] train-mlogloss:0.016978+0.000364 test-mlogloss:1.064360+0.013190
## [279] train-mlogloss:0.016889+0.000356 test-mlogloss:1.065449+0.013894
## [280] train-mlogloss:0.016797+0.000354 test-mlogloss:1.066230+0.013652
## [281] train-mlogloss:0.016671+0.000357 test-mlogloss:1.068090+0.014131
## [282] train-mlogloss:0.016572+0.000353 test-mlogloss:1.068066+0.014400
## [283] train-mlogloss:0.016479+0.000345 test-mlogloss:1.068592+0.014605
## [284] train-mlogloss:0.016360+0.000332 test-mlogloss:1.069673+0.013908
## [285] train-mlogloss:0.016234+0.000295 test-mlogloss:1.071154+0.014364
## [286] train-mlogloss:0.016141+0.000279 test-mlogloss:1.071712+0.015310
## [287] train-mlogloss:0.016037+0.000271 test-mlogloss:1.072604+0.013673
## [288] train-mlogloss:0.015928+0.000267 test-mlogloss:1.073746+0.014997
## [289] train-mlogloss:0.015842+0.000261 test-mlogloss:1.074357+0.015039
## [290] train-mlogloss:0.015760+0.000261 test-mlogloss:1.075946+0.013517
## [291] train-mlogloss:0.015661+0.000244 test-mlogloss:1.076483+0.013814
## [292] train-mlogloss:0.015570+0.000243 test-mlogloss:1.078100+0.014827
## [293] train-mlogloss:0.015480+0.000220 test-mlogloss:1.079698+0.015504
## [294] train-mlogloss:0.015373+0.000214 test-mlogloss:1.080451+0.016054
## [295] train-mlogloss:0.015282+0.000200 test-mlogloss:1.081490+0.015201
## [296] train-mlogloss:0.015209+0.000173 test-mlogloss:1.082856+0.014827
## [297] train-mlogloss:0.015115+0.000173 test-mlogloss:1.083687+0.014487
## [298] train-mlogloss:0.015051+0.000182 test-mlogloss:1.084391+0.014899
## [299] train-mlogloss:0.014971+0.000171 test-mlogloss:1.085442+0.014843
## [300] train-mlogloss:0.014896+0.000164 test-mlogloss:1.086600+0.015102
## [301] train-mlogloss:0.014795+0.000134 test-mlogloss:1.087221+0.014514
## [302] train-mlogloss:0.014697+0.000132 test-mlogloss:1.088473+0.014171
## [303] train-mlogloss:0.014635+0.000139 test-mlogloss:1.088741+0.014439
## [304] train-mlogloss:0.014564+0.000122 test-mlogloss:1.089221+0.014071
## [305] train-mlogloss:0.014477+0.000133 test-mlogloss:1.090109+0.014370
## [306] train-mlogloss:0.014398+0.000131 test-mlogloss:1.090878+0.014807
## [307] train-mlogloss:0.014307+0.000147 test-mlogloss:1.092061+0.014637
## [308] train-mlogloss:0.014227+0.000140 test-mlogloss:1.093331+0.014700
## [309] train-mlogloss:0.014161+0.000136 test-mlogloss:1.094418+0.015137
## [310] train-mlogloss:0.014095+0.000147 test-mlogloss:1.094459+0.014544
## [311] train-mlogloss:0.014027+0.000143 test-mlogloss:1.095065+0.014968
## [312] train-mlogloss:0.013965+0.000147 test-mlogloss:1.096086+0.014563
## [313] train-mlogloss:0.013893+0.000141 test-mlogloss:1.095765+0.015197
## [314] train-mlogloss:0.013819+0.000137 test-mlogloss:1.096870+0.015458
## [315] train-mlogloss:0.013735+0.000123 test-mlogloss:1.098092+0.014421
## [316] train-mlogloss:0.013682+0.000118 test-mlogloss:1.098624+0.014462
## [317] train-mlogloss:0.013637+0.000127 test-mlogloss:1.098755+0.013070
## [318] train-mlogloss:0.013564+0.000119 test-mlogloss:1.099749+0.014089
## [319] train-mlogloss:0.013491+0.000135 test-mlogloss:1.101119+0.014079
## [320] train-mlogloss:0.013405+0.000139 test-mlogloss:1.101771+0.014624
## [321] train-mlogloss:0.013338+0.000132 test-mlogloss:1.102248+0.014002
## [322] train-mlogloss:0.013274+0.000134 test-mlogloss:1.103041+0.014617
## [323] train-mlogloss:0.013213+0.000132 test-mlogloss:1.104470+0.014238
## [324] train-mlogloss:0.013140+0.000122 test-mlogloss:1.105189+0.014489
## [325] train-mlogloss:0.013060+0.000129 test-mlogloss:1.106932+0.014409
## [326] train-mlogloss:0.013012+0.000127 test-mlogloss:1.108009+0.014970
## [327] train-mlogloss:0.012952+0.000109 test-mlogloss:1.108641+0.014288
## [328] train-mlogloss:0.012909+0.000103 test-mlogloss:1.109707+0.014684
## [329] train-mlogloss:0.012844+0.000099 test-mlogloss:1.109837+0.014427
## [330] train-mlogloss:0.012763+0.000113 test-mlogloss:1.110961+0.014921
## [331] train-mlogloss:0.012687+0.000116 test-mlogloss:1.112087+0.013792
## [332] train-mlogloss:0.012625+0.000113 test-mlogloss:1.111890+0.013395
## [333] train-mlogloss:0.012566+0.000129 test-mlogloss:1.111596+0.013548
## [334] train-mlogloss:0.012508+0.000140 test-mlogloss:1.113352+0.013960
## [335] train-mlogloss:0.012444+0.000126 test-mlogloss:1.113459+0.014110
## [336] train-mlogloss:0.012382+0.000129 test-mlogloss:1.114219+0.015048
## [337] train-mlogloss:0.012334+0.000125 test-mlogloss:1.114822+0.014755
## [338] train-mlogloss:0.012270+0.000113 test-mlogloss:1.115629+0.015564
## [339] train-mlogloss:0.012212+0.000107 test-mlogloss:1.116342+0.015320
## [340] train-mlogloss:0.012164+0.000110 test-mlogloss:1.116830+0.015833
## [341] train-mlogloss:0.012117+0.000109 test-mlogloss:1.117283+0.015420
## [342] train-mlogloss:0.012068+0.000107 test-mlogloss:1.118542+0.015037
## [343] train-mlogloss:0.012022+0.000108 test-mlogloss:1.118645+0.015456
## [344] train-mlogloss:0.011963+0.000110 test-mlogloss:1.119957+0.015170
## [345] train-mlogloss:0.011910+0.000123 test-mlogloss:1.120285+0.015822
## [346] train-mlogloss:0.011855+0.000120 test-mlogloss:1.121165+0.015405
## [347] train-mlogloss:0.011790+0.000124 test-mlogloss:1.122663+0.015992
## [348] train-mlogloss:0.011738+0.000118 test-mlogloss:1.123694+0.015564
## [349] train-mlogloss:0.011680+0.000105 test-mlogloss:1.123544+0.015268
## [350] train-mlogloss:0.011622+0.000108 test-mlogloss:1.124363+0.016157
## [351] train-mlogloss:0.011580+0.000107 test-mlogloss:1.124993+0.016842
## [352] train-mlogloss:0.011544+0.000111 test-mlogloss:1.125556+0.016448
## [353] train-mlogloss:0.011475+0.000120 test-mlogloss:1.126597+0.016564
## [354] train-mlogloss:0.011425+0.000124 test-mlogloss:1.127681+0.016844
## [355] train-mlogloss:0.011382+0.000122 test-mlogloss:1.127562+0.016452
## [356] train-mlogloss:0.011337+0.000124 test-mlogloss:1.128059+0.015952
## [357] train-mlogloss:0.011300+0.000123 test-mlogloss:1.128900+0.016686
## [358] train-mlogloss:0.011256+0.000129 test-mlogloss:1.129613+0.016086
## [359] train-mlogloss:0.011214+0.000141 test-mlogloss:1.130731+0.015917
## [360] train-mlogloss:0.011158+0.000138 test-mlogloss:1.131885+0.015504
## [361] train-mlogloss:0.011100+0.000147 test-mlogloss:1.132327+0.015122
## [362] train-mlogloss:0.011055+0.000147 test-mlogloss:1.132356+0.015109
## [363] train-mlogloss:0.011002+0.000142 test-mlogloss:1.132693+0.015594
## [364] train-mlogloss:0.010964+0.000139 test-mlogloss:1.133008+0.015669
## [365] train-mlogloss:0.010925+0.000132 test-mlogloss:1.134313+0.015699
## [366] train-mlogloss:0.010870+0.000129 test-mlogloss:1.134907+0.015795
## [367] train-mlogloss:0.010824+0.000124 test-mlogloss:1.135360+0.015121
## [368] train-mlogloss:0.010787+0.000123 test-mlogloss:1.134888+0.014778
## [369] train-mlogloss:0.010748+0.000122 test-mlogloss:1.136795+0.015782
## [370] train-mlogloss:0.010705+0.000114 test-mlogloss:1.137678+0.015901
## [371] train-mlogloss:0.010664+0.000111 test-mlogloss:1.138360+0.016463
## [372] train-mlogloss:0.010620+0.000113 test-mlogloss:1.138419+0.017247
## [373] train-mlogloss:0.010575+0.000120 test-mlogloss:1.138319+0.016211
## [374] train-mlogloss:0.010529+0.000126 test-mlogloss:1.139811+0.016634
## [375] train-mlogloss:0.010491+0.000119 test-mlogloss:1.141155+0.016277
## [376] train-mlogloss:0.010446+0.000130 test-mlogloss:1.141934+0.016319
## [377] train-mlogloss:0.010402+0.000136 test-mlogloss:1.142613+0.015771
## [378] train-mlogloss:0.010360+0.000136 test-mlogloss:1.143114+0.016514
## [379] train-mlogloss:0.010320+0.000137 test-mlogloss:1.144358+0.015934
## [380] train-mlogloss:0.010276+0.000136 test-mlogloss:1.144981+0.015704
## [381] train-mlogloss:0.010233+0.000141 test-mlogloss:1.145170+0.016285
## [382] train-mlogloss:0.010191+0.000145 test-mlogloss:1.147609+0.016736
## [383] train-mlogloss:0.010157+0.000139 test-mlogloss:1.147378+0.017174
## [384] train-mlogloss:0.010115+0.000130 test-mlogloss:1.148459+0.017407
## [385] train-mlogloss:0.010081+0.000134 test-mlogloss:1.149154+0.016648
## [386] train-mlogloss:0.010046+0.000129 test-mlogloss:1.148736+0.016627
## [387] train-mlogloss:0.010010+0.000135 test-mlogloss:1.150078+0.016444
## [388] train-mlogloss:0.009972+0.000131 test-mlogloss:1.150757+0.015739
## [389] train-mlogloss:0.009930+0.000123 test-mlogloss:1.151149+0.015886
## [390] train-mlogloss:0.009893+0.000116 test-mlogloss:1.152004+0.016027
## [391] train-mlogloss:0.009855+0.000112 test-mlogloss:1.152494+0.015693
## [392] train-mlogloss:0.009817+0.000112 test-mlogloss:1.152609+0.016312
## [393] train-mlogloss:0.009785+0.000112 test-mlogloss:1.153295+0.016799
## [394] train-mlogloss:0.009752+0.000117 test-mlogloss:1.154114+0.016282
## [395] train-mlogloss:0.009706+0.000119 test-mlogloss:1.155067+0.016855
## [396] train-mlogloss:0.009673+0.000119 test-mlogloss:1.155097+0.016915
## [397] train-mlogloss:0.009635+0.000117 test-mlogloss:1.155438+0.015725
## [398] train-mlogloss:0.009606+0.000121 test-mlogloss:1.155725+0.015596
## [399] train-mlogloss:0.009574+0.000118 test-mlogloss:1.156753+0.015869
## [400] train-mlogloss:0.009540+0.000111 test-mlogloss:1.157830+0.015596
## [401] train-mlogloss:0.009508+0.000113 test-mlogloss:1.158732+0.014785
## [402] train-mlogloss:0.009471+0.000115 test-mlogloss:1.159029+0.014973
## [403] train-mlogloss:0.009430+0.000118 test-mlogloss:1.158620+0.014415
## [404] train-mlogloss:0.009388+0.000120 test-mlogloss:1.159337+0.014526
## [405] train-mlogloss:0.009355+0.000119 test-mlogloss:1.160211+0.014715
## [406] train-mlogloss:0.009322+0.000119 test-mlogloss:1.161474+0.014561
## [407] train-mlogloss:0.009279+0.000119 test-mlogloss:1.161557+0.015278
## [408] train-mlogloss:0.009240+0.000119 test-mlogloss:1.161777+0.015530
## [409] train-mlogloss:0.009202+0.000120 test-mlogloss:1.162341+0.015514
## [410] train-mlogloss:0.009175+0.000116 test-mlogloss:1.163155+0.016120
## [411] train-mlogloss:0.009134+0.000108 test-mlogloss:1.163378+0.015970
## [412] train-mlogloss:0.009108+0.000106 test-mlogloss:1.164647+0.015838
## [413] train-mlogloss:0.009078+0.000107 test-mlogloss:1.165023+0.016046
## [414] train-mlogloss:0.009048+0.000103 test-mlogloss:1.165851+0.016230
## [415] train-mlogloss:0.009018+0.000098 test-mlogloss:1.166625+0.015788
## [416] train-mlogloss:0.008992+0.000094 test-mlogloss:1.167111+0.015518
## [417] train-mlogloss:0.008954+0.000101 test-mlogloss:1.168801+0.015498
## [418] train-mlogloss:0.008923+0.000108 test-mlogloss:1.168799+0.015211
## [419] train-mlogloss:0.008886+0.000105 test-mlogloss:1.169164+0.015214
## [420] train-mlogloss:0.008860+0.000109 test-mlogloss:1.170386+0.015571
## [421] train-mlogloss:0.008822+0.000107 test-mlogloss:1.170206+0.014803
## [422] train-mlogloss:0.008790+0.000104 test-mlogloss:1.170866+0.015577
## [423] train-mlogloss:0.008759+0.000104 test-mlogloss:1.171296+0.015630
## [424] train-mlogloss:0.008733+0.000100 test-mlogloss:1.172085+0.015854
## [425] train-mlogloss:0.008711+0.000098 test-mlogloss:1.172449+0.016314
## [426] train-mlogloss:0.008678+0.000097 test-mlogloss:1.173209+0.016640
## [427] train-mlogloss:0.008652+0.000090 test-mlogloss:1.173575+0.017743
## [428] train-mlogloss:0.008627+0.000091 test-mlogloss:1.174453+0.017399
## [429] train-mlogloss:0.008606+0.000095 test-mlogloss:1.175550+0.017070
## [430] train-mlogloss:0.008578+0.000093 test-mlogloss:1.175169+0.017026
## [431] train-mlogloss:0.008547+0.000094 test-mlogloss:1.175161+0.016350
## [432] train-mlogloss:0.008515+0.000096 test-mlogloss:1.176432+0.017327
## [433] train-mlogloss:0.008488+0.000089 test-mlogloss:1.177169+0.017652
## [434] train-mlogloss:0.008465+0.000090 test-mlogloss:1.177508+0.017467
## [435] train-mlogloss:0.008437+0.000095 test-mlogloss:1.177468+0.017101
## [436] train-mlogloss:0.008411+0.000094 test-mlogloss:1.177256+0.016860
## [437] train-mlogloss:0.008381+0.000094 test-mlogloss:1.177767+0.016988
## [438] train-mlogloss:0.008355+0.000094 test-mlogloss:1.178152+0.016084
## [439] train-mlogloss:0.008333+0.000094 test-mlogloss:1.178202+0.016624
## [440] train-mlogloss:0.008304+0.000090 test-mlogloss:1.179002+0.016702
## [441] train-mlogloss:0.008281+0.000090 test-mlogloss:1.179983+0.016748
## [442] train-mlogloss:0.008255+0.000090 test-mlogloss:1.180367+0.016841
## [443] train-mlogloss:0.008235+0.000087 test-mlogloss:1.180783+0.017235
## [444] train-mlogloss:0.008212+0.000083 test-mlogloss:1.181180+0.017407
## [445] train-mlogloss:0.008190+0.000083 test-mlogloss:1.182025+0.016742
## [446] train-mlogloss:0.008164+0.000081 test-mlogloss:1.183061+0.017478
## [447] train-mlogloss:0.008136+0.000080 test-mlogloss:1.183123+0.017443
## [448] train-mlogloss:0.008112+0.000082 test-mlogloss:1.183314+0.016329
## [449] train-mlogloss:0.008092+0.000081 test-mlogloss:1.183432+0.016361
## [450] train-mlogloss:0.008062+0.000084 test-mlogloss:1.184395+0.017416
## [451] train-mlogloss:0.008035+0.000088 test-mlogloss:1.185101+0.017115
## [452] train-mlogloss:0.008008+0.000090 test-mlogloss:1.185218+0.017364
## [453] train-mlogloss:0.007989+0.000091 test-mlogloss:1.185576+0.016890
## [454] train-mlogloss:0.007964+0.000095 test-mlogloss:1.185685+0.017002
## [455] train-mlogloss:0.007940+0.000098 test-mlogloss:1.185988+0.017331
## [456] train-mlogloss:0.007921+0.000098 test-mlogloss:1.187043+0.017479
## [457] train-mlogloss:0.007895+0.000101 test-mlogloss:1.187100+0.018454
## [458] train-mlogloss:0.007873+0.000104 test-mlogloss:1.187475+0.017954
## [459] train-mlogloss:0.007849+0.000105 test-mlogloss:1.188408+0.017441
## [460] train-mlogloss:0.007823+0.000102 test-mlogloss:1.189150+0.017039
## [461] train-mlogloss:0.007803+0.000096 test-mlogloss:1.189736+0.016998
## [462] train-mlogloss:0.007778+0.000089 test-mlogloss:1.189737+0.016533
## [463] train-mlogloss:0.007751+0.000088 test-mlogloss:1.190457+0.017620
## [464] train-mlogloss:0.007735+0.000089 test-mlogloss:1.190824+0.017158
## [465] train-mlogloss:0.007710+0.000088 test-mlogloss:1.190623+0.017205
## [466] train-mlogloss:0.007686+0.000084 test-mlogloss:1.191005+0.016800
## [467] train-mlogloss:0.007659+0.000085 test-mlogloss:1.192299+0.017299
## [468] train-mlogloss:0.007632+0.000082 test-mlogloss:1.193082+0.017461
## [469] train-mlogloss:0.007608+0.000086 test-mlogloss:1.193417+0.017662
## [470] train-mlogloss:0.007581+0.000084 test-mlogloss:1.194506+0.017627
## [471] train-mlogloss:0.007557+0.000081 test-mlogloss:1.195261+0.017654
## [472] train-mlogloss:0.007538+0.000077 test-mlogloss:1.195484+0.017708
## [473] train-mlogloss:0.007514+0.000078 test-mlogloss:1.195878+0.017919
## [474] train-mlogloss:0.007495+0.000074 test-mlogloss:1.196055+0.017388
## [475] train-mlogloss:0.007474+0.000075 test-mlogloss:1.196030+0.017222
## [476] train-mlogloss:0.007452+0.000072 test-mlogloss:1.196088+0.017532
## [477] train-mlogloss:0.007434+0.000070 test-mlogloss:1.196562+0.017328
## [478] train-mlogloss:0.007410+0.000066 test-mlogloss:1.196543+0.017461
## [479] train-mlogloss:0.007390+0.000066 test-mlogloss:1.197025+0.017536
## [480] train-mlogloss:0.007376+0.000065 test-mlogloss:1.197419+0.017249
## [481] train-mlogloss:0.007349+0.000066 test-mlogloss:1.198307+0.018163
## [482] train-mlogloss:0.007331+0.000066 test-mlogloss:1.198719+0.019033
## [483] train-mlogloss:0.007314+0.000062 test-mlogloss:1.198358+0.018188
## [484] train-mlogloss:0.007294+0.000064 test-mlogloss:1.199092+0.018236
## [485] train-mlogloss:0.007279+0.000065 test-mlogloss:1.199583+0.018828
## [486] train-mlogloss:0.007257+0.000063 test-mlogloss:1.199702+0.018054
## [487] train-mlogloss:0.007239+0.000067 test-mlogloss:1.199576+0.017933
## [488] train-mlogloss:0.007217+0.000068 test-mlogloss:1.199956+0.017388
## [489] train-mlogloss:0.007198+0.000068 test-mlogloss:1.201107+0.018514
## [490] train-mlogloss:0.007175+0.000064 test-mlogloss:1.201504+0.018314
## [491] train-mlogloss:0.007155+0.000062 test-mlogloss:1.201701+0.017372
## [492] train-mlogloss:0.007136+0.000060 test-mlogloss:1.202355+0.018437
## [493] train-mlogloss:0.007115+0.000056 test-mlogloss:1.202693+0.018790
## [494] train-mlogloss:0.007094+0.000053 test-mlogloss:1.203483+0.019370
## [495] train-mlogloss:0.007073+0.000058 test-mlogloss:1.204358+0.018900
## [496] train-mlogloss:0.007058+0.000057 test-mlogloss:1.205421+0.018481
## [497] train-mlogloss:0.007036+0.000055 test-mlogloss:1.205150+0.018618
## [498] train-mlogloss:0.007018+0.000056 test-mlogloss:1.206518+0.018922
## [499] train-mlogloss:0.007003+0.000056 test-mlogloss:1.207450+0.018726
## [500] train-mlogloss:0.006984+0.000058 test-mlogloss:1.208506+0.018479
## [1] train-mlogloss:0.402949+0.003316 test-mlogloss:0.590631+0.005151
## [2] train-mlogloss:0.296645+0.001773 test-mlogloss:0.617976+0.009276
## [3] train-mlogloss:0.228952+0.002957 test-mlogloss:0.647920+0.015665
## [4] train-mlogloss:0.185706+0.002066 test-mlogloss:0.674465+0.021995
## [5] train-mlogloss:0.159085+0.003623 test-mlogloss:0.689700+0.022247
## [6] train-mlogloss:0.133433+0.004129 test-mlogloss:0.708472+0.021354
## [7] train-mlogloss:0.114977+0.003622 test-mlogloss:0.726383+0.023178
## [8] train-mlogloss:0.102597+0.005452 test-mlogloss:0.738810+0.020783
## [9] train-mlogloss:0.090659+0.005390 test-mlogloss:0.754456+0.023247
## [10] train-mlogloss:0.079819+0.004087 test-mlogloss:0.767930+0.022158
## [11] train-mlogloss:0.071506+0.003812 test-mlogloss:0.782603+0.024976
## [12] train-mlogloss:0.064953+0.003691 test-mlogloss:0.789689+0.026302
## [13] train-mlogloss:0.059547+0.003182 test-mlogloss:0.797379+0.027951
## [14] train-mlogloss:0.055191+0.002818 test-mlogloss:0.805266+0.028153
## [15] train-mlogloss:0.051298+0.002636 test-mlogloss:0.814444+0.029712
## [16] train-mlogloss:0.047747+0.002244 test-mlogloss:0.822176+0.032487
## [17] train-mlogloss:0.044681+0.001874 test-mlogloss:0.830347+0.036443
## [18] train-mlogloss:0.042061+0.001633 test-mlogloss:0.834252+0.036090
## [19] train-mlogloss:0.039595+0.001526 test-mlogloss:0.840311+0.036198
## [20] train-mlogloss:0.037423+0.001268 test-mlogloss:0.845481+0.037007
## [21] train-mlogloss:0.035583+0.001055 test-mlogloss:0.849693+0.036066
## [22] train-mlogloss:0.033832+0.000954 test-mlogloss:0.856209+0.037155
## [23] train-mlogloss:0.032326+0.000827 test-mlogloss:0.861740+0.038555
## [24] train-mlogloss:0.030957+0.000705 test-mlogloss:0.867911+0.039303
## [25] train-mlogloss:0.029744+0.000628 test-mlogloss:0.871572+0.040337
## [26] train-mlogloss:0.028623+0.000535 test-mlogloss:0.877706+0.042744
## [27] train-mlogloss:0.027514+0.000495 test-mlogloss:0.878550+0.041656
## [28] train-mlogloss:0.026575+0.000477 test-mlogloss:0.882085+0.041307
## [29] train-mlogloss:0.025682+0.000406 test-mlogloss:0.884072+0.040209
## [30] train-mlogloss:0.024865+0.000313 test-mlogloss:0.888716+0.039157
## [31] train-mlogloss:0.024115+0.000244 test-mlogloss:0.893010+0.039025
## [32] train-mlogloss:0.023358+0.000230 test-mlogloss:0.895344+0.038408
## [33] train-mlogloss:0.022680+0.000241 test-mlogloss:0.898935+0.038701
## [34] train-mlogloss:0.022078+0.000220 test-mlogloss:0.904036+0.037796
## [35] train-mlogloss:0.021505+0.000227 test-mlogloss:0.906626+0.039071
## [36] train-mlogloss:0.020957+0.000207 test-mlogloss:0.910455+0.038570
## [37] train-mlogloss:0.020430+0.000180 test-mlogloss:0.913682+0.037878
## [38] train-mlogloss:0.019983+0.000191 test-mlogloss:0.915340+0.039717
## [39] train-mlogloss:0.019522+0.000185 test-mlogloss:0.918159+0.039563
## [40] train-mlogloss:0.019065+0.000185 test-mlogloss:0.920141+0.039041
## [41] train-mlogloss:0.018640+0.000177 test-mlogloss:0.922914+0.039621
## [42] train-mlogloss:0.018256+0.000173 test-mlogloss:0.924555+0.039865
## [43] train-mlogloss:0.017910+0.000158 test-mlogloss:0.929159+0.040102
## [44] train-mlogloss:0.017556+0.000158 test-mlogloss:0.933054+0.041112
## [45] train-mlogloss:0.017206+0.000115 test-mlogloss:0.936505+0.040290
## [46] train-mlogloss:0.016875+0.000134 test-mlogloss:0.938466+0.041142
## [47] train-mlogloss:0.016566+0.000132 test-mlogloss:0.938974+0.042076
## [48] train-mlogloss:0.016301+0.000125 test-mlogloss:0.942465+0.042292
## [49] train-mlogloss:0.016030+0.000139 test-mlogloss:0.945948+0.043531
## [50] train-mlogloss:0.015755+0.000130 test-mlogloss:0.948221+0.043842
## [51] train-mlogloss:0.015483+0.000122 test-mlogloss:0.950827+0.042583
## [52] train-mlogloss:0.015224+0.000108 test-mlogloss:0.952972+0.042367
## [53] train-mlogloss:0.014988+0.000093 test-mlogloss:0.956017+0.043345
## [54] train-mlogloss:0.014751+0.000114 test-mlogloss:0.959084+0.044190
## [55] train-mlogloss:0.014514+0.000117 test-mlogloss:0.961664+0.043599
## [56] train-mlogloss:0.014304+0.000117 test-mlogloss:0.964840+0.042890
## [57] train-mlogloss:0.014093+0.000123 test-mlogloss:0.966686+0.043981
## [58] train-mlogloss:0.013900+0.000111 test-mlogloss:0.968124+0.044458
## [59] train-mlogloss:0.013721+0.000101 test-mlogloss:0.970760+0.043927
## [60] train-mlogloss:0.013535+0.000115 test-mlogloss:0.972455+0.043640
## [61] train-mlogloss:0.013355+0.000119 test-mlogloss:0.974671+0.044601
## [62] train-mlogloss:0.013180+0.000120 test-mlogloss:0.975593+0.045757
## [63] train-mlogloss:0.013009+0.000108 test-mlogloss:0.977305+0.045428
## [64] train-mlogloss:0.012847+0.000107 test-mlogloss:0.979378+0.045670
## [65] train-mlogloss:0.012686+0.000105 test-mlogloss:0.981236+0.044425
## [66] train-mlogloss:0.012547+0.000109 test-mlogloss:0.983614+0.044308
## [67] train-mlogloss:0.012393+0.000108 test-mlogloss:0.985009+0.045749
## [68] train-mlogloss:0.012261+0.000108 test-mlogloss:0.986419+0.044966
## [69] train-mlogloss:0.012127+0.000101 test-mlogloss:0.987122+0.045521
## [70] train-mlogloss:0.011991+0.000107 test-mlogloss:0.988676+0.045727
## [71] train-mlogloss:0.011854+0.000097 test-mlogloss:0.990017+0.047268
## [72] train-mlogloss:0.011712+0.000102 test-mlogloss:0.991773+0.047560
## [73] train-mlogloss:0.011592+0.000103 test-mlogloss:0.993472+0.047884
## [74] train-mlogloss:0.011465+0.000097 test-mlogloss:0.994226+0.047988
## [75] train-mlogloss:0.011338+0.000102 test-mlogloss:0.995257+0.047463
## [76] train-mlogloss:0.011227+0.000103 test-mlogloss:0.995967+0.047975
## [77] train-mlogloss:0.011117+0.000099 test-mlogloss:0.998048+0.048151
## [78] train-mlogloss:0.011008+0.000105 test-mlogloss:0.999503+0.048742
## [79] train-mlogloss:0.010893+0.000110 test-mlogloss:1.001606+0.047980
## [80] train-mlogloss:0.010788+0.000108 test-mlogloss:1.002951+0.047771
## [81] train-mlogloss:0.010690+0.000110 test-mlogloss:1.004471+0.048190
## [82] train-mlogloss:0.010589+0.000108 test-mlogloss:1.006621+0.048393
## [83] train-mlogloss:0.010490+0.000095 test-mlogloss:1.007989+0.048797
## [84] train-mlogloss:0.010396+0.000093 test-mlogloss:1.009196+0.049545
## [85] train-mlogloss:0.010312+0.000090 test-mlogloss:1.011383+0.049739
## [86] train-mlogloss:0.010224+0.000090 test-mlogloss:1.012097+0.049228
## [87] train-mlogloss:0.010137+0.000087 test-mlogloss:1.013647+0.048917
## [88] train-mlogloss:0.010054+0.000086 test-mlogloss:1.013726+0.048815
## [89] train-mlogloss:0.009975+0.000092 test-mlogloss:1.015218+0.049055
## [90] train-mlogloss:0.009880+0.000081 test-mlogloss:1.017503+0.049591
## [91] train-mlogloss:0.009804+0.000083 test-mlogloss:1.019134+0.049782
## [92] train-mlogloss:0.009722+0.000083 test-mlogloss:1.020065+0.048739
## [93] train-mlogloss:0.009645+0.000074 test-mlogloss:1.020836+0.049303
## [94] train-mlogloss:0.009572+0.000076 test-mlogloss:1.021805+0.049988
## [95] train-mlogloss:0.009502+0.000077 test-mlogloss:1.022854+0.050172
## [96] train-mlogloss:0.009426+0.000076 test-mlogloss:1.024355+0.049929
## [97] train-mlogloss:0.009356+0.000081 test-mlogloss:1.025009+0.049995
## [98] train-mlogloss:0.009287+0.000085 test-mlogloss:1.026661+0.051067
## [99] train-mlogloss:0.009214+0.000082 test-mlogloss:1.027329+0.051984
## [100] train-mlogloss:0.009146+0.000083 test-mlogloss:1.028531+0.051147
## [101] train-mlogloss:0.009078+0.000082 test-mlogloss:1.029841+0.051439
## [102] train-mlogloss:0.009016+0.000083 test-mlogloss:1.030477+0.051088
## [103] train-mlogloss:0.008955+0.000081 test-mlogloss:1.031429+0.050802
## [104] train-mlogloss:0.008899+0.000082 test-mlogloss:1.033335+0.050499
## [105] train-mlogloss:0.008829+0.000079 test-mlogloss:1.034395+0.050976
## [106] train-mlogloss:0.008766+0.000074 test-mlogloss:1.035803+0.050942
## [107] train-mlogloss:0.008708+0.000078 test-mlogloss:1.036351+0.051459
## [108] train-mlogloss:0.008649+0.000082 test-mlogloss:1.037065+0.051394
## [109] train-mlogloss:0.008596+0.000081 test-mlogloss:1.037374+0.052907
## [110] train-mlogloss:0.008538+0.000080 test-mlogloss:1.037910+0.052933
## [111] train-mlogloss:0.008484+0.000084 test-mlogloss:1.039057+0.053110
## [112] train-mlogloss:0.008431+0.000083 test-mlogloss:1.040686+0.052682
## [113] train-mlogloss:0.008378+0.000086 test-mlogloss:1.041195+0.052354
## [114] train-mlogloss:0.008324+0.000087 test-mlogloss:1.043320+0.053497
## [115] train-mlogloss:0.008274+0.000088 test-mlogloss:1.044298+0.053975
## [116] train-mlogloss:0.008221+0.000090 test-mlogloss:1.046136+0.054082
## [117] train-mlogloss:0.008175+0.000085 test-mlogloss:1.047212+0.054481
## [118] train-mlogloss:0.008126+0.000088 test-mlogloss:1.047708+0.054572
## [119] train-mlogloss:0.008072+0.000083 test-mlogloss:1.049348+0.054250
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## [122] train-mlogloss:0.007938+0.000075 test-mlogloss:1.051246+0.053258
## [123] train-mlogloss:0.007891+0.000073 test-mlogloss:1.052178+0.053540
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## [125] train-mlogloss:0.007801+0.000074 test-mlogloss:1.053026+0.053333
## [126] train-mlogloss:0.007761+0.000078 test-mlogloss:1.053583+0.052967
## [127] train-mlogloss:0.007720+0.000075 test-mlogloss:1.055435+0.054131
## [128] train-mlogloss:0.007678+0.000078 test-mlogloss:1.056182+0.053619
## [129] train-mlogloss:0.007635+0.000077 test-mlogloss:1.057214+0.054364
## [130] train-mlogloss:0.007600+0.000075 test-mlogloss:1.057995+0.054632
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## [132] train-mlogloss:0.007523+0.000076 test-mlogloss:1.060060+0.054699
## [133] train-mlogloss:0.007486+0.000074 test-mlogloss:1.060758+0.054949
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## [136] train-mlogloss:0.007374+0.000070 test-mlogloss:1.061721+0.055283
## [137] train-mlogloss:0.007337+0.000070 test-mlogloss:1.063234+0.056578
## [138] train-mlogloss:0.007301+0.000068 test-mlogloss:1.064047+0.056404
## [139] train-mlogloss:0.007265+0.000064 test-mlogloss:1.064585+0.056138
## [140] train-mlogloss:0.007229+0.000065 test-mlogloss:1.066480+0.056123
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## [142] train-mlogloss:0.007163+0.000066 test-mlogloss:1.067902+0.056716
## [143] train-mlogloss:0.007127+0.000062 test-mlogloss:1.068722+0.056524
## [144] train-mlogloss:0.007091+0.000062 test-mlogloss:1.070269+0.055858
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## [146] train-mlogloss:0.007021+0.000063 test-mlogloss:1.070734+0.055066
## [147] train-mlogloss:0.006989+0.000065 test-mlogloss:1.071948+0.054766
## [148] train-mlogloss:0.006956+0.000074 test-mlogloss:1.073355+0.054249
## [149] train-mlogloss:0.006927+0.000076 test-mlogloss:1.073869+0.053936
## [150] train-mlogloss:0.006895+0.000075 test-mlogloss:1.075469+0.055308
## [151] train-mlogloss:0.006867+0.000080 test-mlogloss:1.075314+0.054190
## [152] train-mlogloss:0.006834+0.000080 test-mlogloss:1.076253+0.053755
## [153] train-mlogloss:0.006803+0.000083 test-mlogloss:1.076588+0.055103
## [154] train-mlogloss:0.006775+0.000082 test-mlogloss:1.077039+0.055444
## [155] train-mlogloss:0.006746+0.000085 test-mlogloss:1.079859+0.056159
## [156] train-mlogloss:0.006718+0.000085 test-mlogloss:1.080807+0.055876
## [157] train-mlogloss:0.006689+0.000082 test-mlogloss:1.080868+0.055575
## [158] train-mlogloss:0.006666+0.000082 test-mlogloss:1.081359+0.056109
## [159] train-mlogloss:0.006635+0.000079 test-mlogloss:1.081867+0.055943
## [160] train-mlogloss:0.006608+0.000077 test-mlogloss:1.082203+0.056136
## [161] train-mlogloss:0.006578+0.000075 test-mlogloss:1.082567+0.056644
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## [168] train-mlogloss:0.006395+0.000071 test-mlogloss:1.087665+0.057296
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## [172] train-mlogloss:0.006293+0.000071 test-mlogloss:1.090547+0.056027
## [173] train-mlogloss:0.006270+0.000070 test-mlogloss:1.091089+0.055279
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## [178] train-mlogloss:0.006154+0.000065 test-mlogloss:1.094102+0.057200
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## [187] train-mlogloss:0.005959+0.000061 test-mlogloss:1.099452+0.058644
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## [191] train-mlogloss:0.005877+0.000058 test-mlogloss:1.101619+0.059514
## [192] train-mlogloss:0.005855+0.000061 test-mlogloss:1.102432+0.058979
## [193] train-mlogloss:0.005836+0.000062 test-mlogloss:1.103619+0.059797
## [194] train-mlogloss:0.005819+0.000060 test-mlogloss:1.104228+0.059016
## [195] train-mlogloss:0.005799+0.000061 test-mlogloss:1.104906+0.058900
## [196] train-mlogloss:0.005781+0.000059 test-mlogloss:1.105387+0.059175
## [197] train-mlogloss:0.005761+0.000062 test-mlogloss:1.105211+0.059827
## [198] train-mlogloss:0.005742+0.000063 test-mlogloss:1.105342+0.060407
## [199] train-mlogloss:0.005725+0.000060 test-mlogloss:1.105914+0.060822
## [200] train-mlogloss:0.005709+0.000060 test-mlogloss:1.106542+0.060192
## [201] train-mlogloss:0.005690+0.000062 test-mlogloss:1.107876+0.060873
## [202] train-mlogloss:0.005671+0.000063 test-mlogloss:1.108395+0.061283
## [203] train-mlogloss:0.005653+0.000063 test-mlogloss:1.108169+0.061547
## [204] train-mlogloss:0.005638+0.000062 test-mlogloss:1.108979+0.061293
## [205] train-mlogloss:0.005620+0.000063 test-mlogloss:1.109649+0.061147
## [206] train-mlogloss:0.005601+0.000063 test-mlogloss:1.109465+0.061100
## [207] train-mlogloss:0.005585+0.000063 test-mlogloss:1.109601+0.061731
## [208] train-mlogloss:0.005568+0.000063 test-mlogloss:1.110694+0.061709
## [209] train-mlogloss:0.005552+0.000063 test-mlogloss:1.111182+0.061681
## [210] train-mlogloss:0.005534+0.000062 test-mlogloss:1.111098+0.061142
## [211] train-mlogloss:0.005518+0.000060 test-mlogloss:1.112224+0.061183
## [212] train-mlogloss:0.005502+0.000060 test-mlogloss:1.111962+0.060910
## [213] train-mlogloss:0.005488+0.000059 test-mlogloss:1.112633+0.060808
## [214] train-mlogloss:0.005471+0.000059 test-mlogloss:1.113113+0.061216
## [215] train-mlogloss:0.005457+0.000057 test-mlogloss:1.114554+0.060723
## [216] train-mlogloss:0.005439+0.000058 test-mlogloss:1.114474+0.060765
## [217] train-mlogloss:0.005424+0.000059 test-mlogloss:1.115583+0.060816
## [218] train-mlogloss:0.005409+0.000059 test-mlogloss:1.115866+0.061499
## [219] train-mlogloss:0.005393+0.000060 test-mlogloss:1.115779+0.060936
## [220] train-mlogloss:0.005378+0.000062 test-mlogloss:1.116565+0.061268
## [221] train-mlogloss:0.005362+0.000061 test-mlogloss:1.116709+0.060552
## [222] train-mlogloss:0.005347+0.000060 test-mlogloss:1.117033+0.060376
## [223] train-mlogloss:0.005333+0.000061 test-mlogloss:1.116946+0.060797
## [224] train-mlogloss:0.005319+0.000058 test-mlogloss:1.116942+0.060525
## [225] train-mlogloss:0.005306+0.000060 test-mlogloss:1.117474+0.060747
## [226] train-mlogloss:0.005291+0.000060 test-mlogloss:1.116902+0.060756
## [227] train-mlogloss:0.005279+0.000059 test-mlogloss:1.116643+0.060518
## [228] train-mlogloss:0.005265+0.000059 test-mlogloss:1.117566+0.060813
## [229] train-mlogloss:0.005252+0.000058 test-mlogloss:1.118013+0.060963
## [230] train-mlogloss:0.005238+0.000058 test-mlogloss:1.118500+0.059828
## [231] train-mlogloss:0.005224+0.000056 test-mlogloss:1.119319+0.059964
## [232] train-mlogloss:0.005209+0.000055 test-mlogloss:1.120399+0.059900
## [233] train-mlogloss:0.005195+0.000058 test-mlogloss:1.120943+0.060094
## [234] train-mlogloss:0.005182+0.000059 test-mlogloss:1.121329+0.060454
## [235] train-mlogloss:0.005168+0.000060 test-mlogloss:1.121289+0.059249
## [236] train-mlogloss:0.005155+0.000060 test-mlogloss:1.122458+0.059750
## [237] train-mlogloss:0.005141+0.000059 test-mlogloss:1.121989+0.059161
## [238] train-mlogloss:0.005128+0.000056 test-mlogloss:1.122385+0.058948
## [239] train-mlogloss:0.005115+0.000057 test-mlogloss:1.122608+0.059577
## [240] train-mlogloss:0.005104+0.000056 test-mlogloss:1.123765+0.059408
## [241] train-mlogloss:0.005091+0.000056 test-mlogloss:1.124551+0.059472
## [242] train-mlogloss:0.005078+0.000056 test-mlogloss:1.125277+0.059485
## [243] train-mlogloss:0.005066+0.000055 test-mlogloss:1.124888+0.059122
## [244] train-mlogloss:0.005055+0.000056 test-mlogloss:1.125579+0.059512
## [245] train-mlogloss:0.005043+0.000055 test-mlogloss:1.125092+0.058665
## [246] train-mlogloss:0.005032+0.000055 test-mlogloss:1.126286+0.059551
## [247] train-mlogloss:0.005019+0.000054 test-mlogloss:1.127494+0.059407
## [248] train-mlogloss:0.005009+0.000054 test-mlogloss:1.127194+0.059087
## [249] train-mlogloss:0.004997+0.000054 test-mlogloss:1.127622+0.059719
## [250] train-mlogloss:0.004985+0.000055 test-mlogloss:1.127720+0.059306
## [251] train-mlogloss:0.004974+0.000056 test-mlogloss:1.128843+0.059435
## [252] train-mlogloss:0.004963+0.000057 test-mlogloss:1.128950+0.059435
## [253] train-mlogloss:0.004950+0.000056 test-mlogloss:1.130414+0.058943
## [254] train-mlogloss:0.004940+0.000055 test-mlogloss:1.130438+0.059456
## [255] train-mlogloss:0.004927+0.000054 test-mlogloss:1.131001+0.059133
## [256] train-mlogloss:0.004916+0.000054 test-mlogloss:1.131021+0.060047
## [257] train-mlogloss:0.004904+0.000054 test-mlogloss:1.131790+0.060193
## [258] train-mlogloss:0.004890+0.000055 test-mlogloss:1.132775+0.060599
## [259] train-mlogloss:0.004881+0.000055 test-mlogloss:1.133131+0.060586
## [260] train-mlogloss:0.004869+0.000055 test-mlogloss:1.134505+0.060342
## [261] train-mlogloss:0.004859+0.000056 test-mlogloss:1.134631+0.060803
## [262] train-mlogloss:0.004850+0.000056 test-mlogloss:1.134838+0.061347
## [263] train-mlogloss:0.004838+0.000056 test-mlogloss:1.135407+0.060835
## [264] train-mlogloss:0.004827+0.000056 test-mlogloss:1.135487+0.060403
## [265] train-mlogloss:0.004817+0.000056 test-mlogloss:1.135750+0.061309
## [266] train-mlogloss:0.004806+0.000056 test-mlogloss:1.136285+0.060648
## [267] train-mlogloss:0.004794+0.000057 test-mlogloss:1.137043+0.061055
## [268] train-mlogloss:0.004783+0.000058 test-mlogloss:1.136656+0.061267
## [269] train-mlogloss:0.004772+0.000056 test-mlogloss:1.137071+0.061512
## [270] train-mlogloss:0.004763+0.000055 test-mlogloss:1.137926+0.061228
## [271] train-mlogloss:0.004752+0.000056 test-mlogloss:1.137818+0.061798
## [272] train-mlogloss:0.004742+0.000056 test-mlogloss:1.138020+0.061059
## [273] train-mlogloss:0.004731+0.000056 test-mlogloss:1.138091+0.061539
## [274] train-mlogloss:0.004719+0.000056 test-mlogloss:1.139111+0.062268
## [275] train-mlogloss:0.004709+0.000054 test-mlogloss:1.139797+0.062772
## [276] train-mlogloss:0.004697+0.000055 test-mlogloss:1.140542+0.061804
## [277] train-mlogloss:0.004687+0.000054 test-mlogloss:1.140215+0.061984
## [278] train-mlogloss:0.004678+0.000054 test-mlogloss:1.141041+0.062093
## [279] train-mlogloss:0.004667+0.000053 test-mlogloss:1.140524+0.061880
## [280] train-mlogloss:0.004658+0.000053 test-mlogloss:1.141163+0.061967
## [281] train-mlogloss:0.004648+0.000053 test-mlogloss:1.142424+0.062349
## [282] train-mlogloss:0.004638+0.000053 test-mlogloss:1.142253+0.061633
## [283] train-mlogloss:0.004628+0.000053 test-mlogloss:1.142470+0.062191
## [284] train-mlogloss:0.004620+0.000053 test-mlogloss:1.142735+0.061645
## [285] train-mlogloss:0.004610+0.000053 test-mlogloss:1.143727+0.061715
## [286] train-mlogloss:0.004601+0.000052 test-mlogloss:1.144529+0.061162
## [287] train-mlogloss:0.004592+0.000052 test-mlogloss:1.145125+0.061793
## [288] train-mlogloss:0.004582+0.000050 test-mlogloss:1.145313+0.062161
## [289] train-mlogloss:0.004572+0.000051 test-mlogloss:1.146026+0.062074
## [290] train-mlogloss:0.004563+0.000051 test-mlogloss:1.146508+0.062341
## [291] train-mlogloss:0.004555+0.000051 test-mlogloss:1.146042+0.062348
## [292] train-mlogloss:0.004546+0.000050 test-mlogloss:1.147297+0.062399
## [293] train-mlogloss:0.004536+0.000050 test-mlogloss:1.147229+0.061995
## [294] train-mlogloss:0.004528+0.000050 test-mlogloss:1.147703+0.061719
## [295] train-mlogloss:0.004517+0.000049 test-mlogloss:1.147807+0.061379
## [296] train-mlogloss:0.004508+0.000050 test-mlogloss:1.147934+0.061479
## [297] train-mlogloss:0.004499+0.000051 test-mlogloss:1.148800+0.061520
## [298] train-mlogloss:0.004490+0.000051 test-mlogloss:1.149277+0.061922
## [299] train-mlogloss:0.004480+0.000049 test-mlogloss:1.149094+0.061839
## [300] train-mlogloss:0.004473+0.000048 test-mlogloss:1.149708+0.062219
## [301] train-mlogloss:0.004465+0.000047 test-mlogloss:1.149683+0.061356
## [302] train-mlogloss:0.004456+0.000048 test-mlogloss:1.149769+0.062023
## [303] train-mlogloss:0.004449+0.000048 test-mlogloss:1.150463+0.062555
## [304] train-mlogloss:0.004438+0.000049 test-mlogloss:1.150944+0.062371
## [305] train-mlogloss:0.004430+0.000049 test-mlogloss:1.151091+0.063081
## [306] train-mlogloss:0.004422+0.000048 test-mlogloss:1.151239+0.062149
## [307] train-mlogloss:0.004414+0.000047 test-mlogloss:1.150970+0.062295
## [308] train-mlogloss:0.004405+0.000047 test-mlogloss:1.151433+0.062101
## [309] train-mlogloss:0.004397+0.000047 test-mlogloss:1.151599+0.062050
## [310] train-mlogloss:0.004389+0.000047 test-mlogloss:1.152647+0.061860
## [311] train-mlogloss:0.004380+0.000047 test-mlogloss:1.152203+0.061780
## [312] train-mlogloss:0.004374+0.000047 test-mlogloss:1.152345+0.062305
## [313] train-mlogloss:0.004366+0.000047 test-mlogloss:1.153000+0.062852
## [314] train-mlogloss:0.004356+0.000047 test-mlogloss:1.153607+0.063024
## [315] train-mlogloss:0.004348+0.000046 test-mlogloss:1.154162+0.063372
## [316] train-mlogloss:0.004340+0.000045 test-mlogloss:1.154245+0.063401
## [317] train-mlogloss:0.004331+0.000045 test-mlogloss:1.154118+0.063775
## [318] train-mlogloss:0.004324+0.000045 test-mlogloss:1.154355+0.063541
## [319] train-mlogloss:0.004316+0.000045 test-mlogloss:1.155056+0.063497
## [320] train-mlogloss:0.004309+0.000044 test-mlogloss:1.155749+0.063495
## [321] train-mlogloss:0.004301+0.000045 test-mlogloss:1.155742+0.063421
## [322] train-mlogloss:0.004294+0.000043 test-mlogloss:1.156303+0.063058
## [323] train-mlogloss:0.004286+0.000043 test-mlogloss:1.156152+0.063021
## [324] train-mlogloss:0.004277+0.000043 test-mlogloss:1.156519+0.062783
## [325] train-mlogloss:0.004269+0.000043 test-mlogloss:1.157064+0.063204
## [326] train-mlogloss:0.004262+0.000043 test-mlogloss:1.157065+0.063198
## [327] train-mlogloss:0.004255+0.000042 test-mlogloss:1.157272+0.063185
## [328] train-mlogloss:0.004248+0.000043 test-mlogloss:1.157915+0.062861
## [329] train-mlogloss:0.004241+0.000043 test-mlogloss:1.157711+0.062328
## [330] train-mlogloss:0.004233+0.000044 test-mlogloss:1.158342+0.062636
## [331] train-mlogloss:0.004226+0.000043 test-mlogloss:1.157878+0.062279
## [332] train-mlogloss:0.004219+0.000043 test-mlogloss:1.157833+0.062617
## [333] train-mlogloss:0.004212+0.000042 test-mlogloss:1.157966+0.062561
## [334] train-mlogloss:0.004203+0.000042 test-mlogloss:1.157733+0.063174
## [335] train-mlogloss:0.004195+0.000042 test-mlogloss:1.158070+0.062954
## [336] train-mlogloss:0.004188+0.000043 test-mlogloss:1.158641+0.063428
## [337] train-mlogloss:0.004180+0.000043 test-mlogloss:1.159316+0.062760
## [338] train-mlogloss:0.004174+0.000042 test-mlogloss:1.159743+0.062480
## [339] train-mlogloss:0.004166+0.000042 test-mlogloss:1.160120+0.062405
## [340] train-mlogloss:0.004159+0.000041 test-mlogloss:1.160150+0.063621
## [341] train-mlogloss:0.004154+0.000042 test-mlogloss:1.160063+0.062930
## [342] train-mlogloss:0.004146+0.000042 test-mlogloss:1.160648+0.063132
## [343] train-mlogloss:0.004140+0.000041 test-mlogloss:1.160766+0.062919
## [344] train-mlogloss:0.004134+0.000041 test-mlogloss:1.161198+0.062797
## [345] train-mlogloss:0.004128+0.000040 test-mlogloss:1.161473+0.062348
## [346] train-mlogloss:0.004123+0.000041 test-mlogloss:1.161181+0.062509
## [347] train-mlogloss:0.004115+0.000041 test-mlogloss:1.162085+0.062454
## [348] train-mlogloss:0.004109+0.000040 test-mlogloss:1.162373+0.062884
## [349] train-mlogloss:0.004101+0.000040 test-mlogloss:1.162790+0.063436
## [350] train-mlogloss:0.004096+0.000039 test-mlogloss:1.163327+0.062999
## [351] train-mlogloss:0.004088+0.000041 test-mlogloss:1.163925+0.062807
## [352] train-mlogloss:0.004083+0.000041 test-mlogloss:1.164094+0.062980
## [353] train-mlogloss:0.004077+0.000040 test-mlogloss:1.164337+0.063198
## [354] train-mlogloss:0.004069+0.000040 test-mlogloss:1.164307+0.062743
## [355] train-mlogloss:0.004063+0.000039 test-mlogloss:1.164670+0.063558
## [356] train-mlogloss:0.004057+0.000039 test-mlogloss:1.164605+0.063503
## [357] train-mlogloss:0.004051+0.000037 test-mlogloss:1.164949+0.063421
## [358] train-mlogloss:0.004045+0.000038 test-mlogloss:1.164892+0.063097
## [359] train-mlogloss:0.004039+0.000038 test-mlogloss:1.164693+0.062984
## [360] train-mlogloss:0.004034+0.000037 test-mlogloss:1.165037+0.063285
## [361] train-mlogloss:0.004028+0.000035 test-mlogloss:1.165906+0.063025
## [362] train-mlogloss:0.004020+0.000037 test-mlogloss:1.166324+0.062407
## [363] train-mlogloss:0.004014+0.000037 test-mlogloss:1.166579+0.062966
## [364] train-mlogloss:0.004008+0.000036 test-mlogloss:1.167360+0.062143
## [365] train-mlogloss:0.004002+0.000037 test-mlogloss:1.167751+0.062659
## [366] train-mlogloss:0.003996+0.000037 test-mlogloss:1.167784+0.062485
## [367] train-mlogloss:0.003989+0.000037 test-mlogloss:1.168540+0.063046
## [368] train-mlogloss:0.003984+0.000036 test-mlogloss:1.168546+0.062882
## [369] train-mlogloss:0.003978+0.000036 test-mlogloss:1.169146+0.063163
## [370] train-mlogloss:0.003971+0.000036 test-mlogloss:1.169215+0.063651
## [371] train-mlogloss:0.003966+0.000035 test-mlogloss:1.169486+0.063412
## [372] train-mlogloss:0.003960+0.000034 test-mlogloss:1.169272+0.063587
## [373] train-mlogloss:0.003954+0.000034 test-mlogloss:1.169556+0.064200
## [374] train-mlogloss:0.003949+0.000035 test-mlogloss:1.169672+0.063655
## [375] train-mlogloss:0.003942+0.000035 test-mlogloss:1.170460+0.064441
## [376] train-mlogloss:0.003936+0.000036 test-mlogloss:1.170560+0.064642
## [377] train-mlogloss:0.003931+0.000037 test-mlogloss:1.170297+0.064299
## [378] train-mlogloss:0.003925+0.000038 test-mlogloss:1.171014+0.064407
## [379] train-mlogloss:0.003920+0.000038 test-mlogloss:1.171857+0.064653
## [380] train-mlogloss:0.003914+0.000038 test-mlogloss:1.172180+0.064686
## [381] train-mlogloss:0.003908+0.000038 test-mlogloss:1.172638+0.064232
## [382] train-mlogloss:0.003903+0.000038 test-mlogloss:1.173092+0.064408
## [383] train-mlogloss:0.003897+0.000037 test-mlogloss:1.173182+0.063694
## [384] train-mlogloss:0.003891+0.000038 test-mlogloss:1.174513+0.063652
## [385] train-mlogloss:0.003885+0.000038 test-mlogloss:1.174490+0.064467
## [386] train-mlogloss:0.003880+0.000037 test-mlogloss:1.174600+0.064541
## [387] train-mlogloss:0.003874+0.000037 test-mlogloss:1.174613+0.063951
## [388] train-mlogloss:0.003869+0.000037 test-mlogloss:1.174532+0.064830
## [389] train-mlogloss:0.003864+0.000036 test-mlogloss:1.175241+0.064405
## [390] train-mlogloss:0.003859+0.000036 test-mlogloss:1.174913+0.064346
## [391] train-mlogloss:0.003855+0.000037 test-mlogloss:1.175615+0.064388
## [392] train-mlogloss:0.003849+0.000036 test-mlogloss:1.175963+0.064377
## [393] train-mlogloss:0.003845+0.000036 test-mlogloss:1.175870+0.064498
## [394] train-mlogloss:0.003839+0.000036 test-mlogloss:1.175620+0.065048
## [395] train-mlogloss:0.003835+0.000036 test-mlogloss:1.175559+0.065714
## [396] train-mlogloss:0.003830+0.000035 test-mlogloss:1.175905+0.065951
## [397] train-mlogloss:0.003825+0.000036 test-mlogloss:1.176174+0.065859
## [398] train-mlogloss:0.003819+0.000036 test-mlogloss:1.176630+0.066097
## [399] train-mlogloss:0.003814+0.000036 test-mlogloss:1.175987+0.065681
## [400] train-mlogloss:0.003810+0.000035 test-mlogloss:1.176748+0.065313
## [401] train-mlogloss:0.003805+0.000037 test-mlogloss:1.177107+0.065486
## [402] train-mlogloss:0.003800+0.000037 test-mlogloss:1.177877+0.064851
## [403] train-mlogloss:0.003794+0.000036 test-mlogloss:1.177991+0.064414
## [404] train-mlogloss:0.003789+0.000036 test-mlogloss:1.178118+0.065318
## [405] train-mlogloss:0.003784+0.000036 test-mlogloss:1.178561+0.065303
## [406] train-mlogloss:0.003778+0.000036 test-mlogloss:1.178692+0.065777
## [407] train-mlogloss:0.003773+0.000035 test-mlogloss:1.178698+0.065038
## [408] train-mlogloss:0.003767+0.000035 test-mlogloss:1.178462+0.064746
## [409] train-mlogloss:0.003762+0.000037 test-mlogloss:1.178796+0.064323
## [410] train-mlogloss:0.003758+0.000037 test-mlogloss:1.179203+0.064958
## [411] train-mlogloss:0.003753+0.000037 test-mlogloss:1.179485+0.064827
## [412] train-mlogloss:0.003749+0.000037 test-mlogloss:1.179852+0.065154
## [413] train-mlogloss:0.003744+0.000037 test-mlogloss:1.180774+0.064638
## [414] train-mlogloss:0.003740+0.000037 test-mlogloss:1.181342+0.064361
## [415] train-mlogloss:0.003735+0.000037 test-mlogloss:1.181340+0.064489
## [416] train-mlogloss:0.003731+0.000036 test-mlogloss:1.181627+0.064149
## [417] train-mlogloss:0.003725+0.000036 test-mlogloss:1.182116+0.064716
## [418] train-mlogloss:0.003721+0.000036 test-mlogloss:1.182280+0.064673
## [419] train-mlogloss:0.003716+0.000035 test-mlogloss:1.182319+0.064990
## [420] train-mlogloss:0.003710+0.000035 test-mlogloss:1.182121+0.064012
## [421] train-mlogloss:0.003706+0.000035 test-mlogloss:1.182733+0.064517
## [422] train-mlogloss:0.003701+0.000034 test-mlogloss:1.183092+0.064762
## [423] train-mlogloss:0.003697+0.000033 test-mlogloss:1.183046+0.064385
## [424] train-mlogloss:0.003693+0.000034 test-mlogloss:1.183445+0.064305
## [425] train-mlogloss:0.003688+0.000033 test-mlogloss:1.183594+0.064660
## [426] train-mlogloss:0.003683+0.000033 test-mlogloss:1.184289+0.064727
## [427] train-mlogloss:0.003678+0.000033 test-mlogloss:1.184164+0.064140
## [428] train-mlogloss:0.003673+0.000032 test-mlogloss:1.184101+0.064383
## [429] train-mlogloss:0.003668+0.000032 test-mlogloss:1.184586+0.064704
## [430] train-mlogloss:0.003664+0.000032 test-mlogloss:1.185052+0.064589
## [431] train-mlogloss:0.003659+0.000032 test-mlogloss:1.184978+0.065358
## [432] train-mlogloss:0.003654+0.000032 test-mlogloss:1.185178+0.065200
## [433] train-mlogloss:0.003650+0.000031 test-mlogloss:1.185541+0.065455
## [434] train-mlogloss:0.003646+0.000031 test-mlogloss:1.186271+0.065732
## [435] train-mlogloss:0.003640+0.000031 test-mlogloss:1.186468+0.065574
## [436] train-mlogloss:0.003635+0.000031 test-mlogloss:1.187251+0.064743
## [437] train-mlogloss:0.003630+0.000032 test-mlogloss:1.187191+0.065183
## [438] train-mlogloss:0.003626+0.000031 test-mlogloss:1.186862+0.065792
## [439] train-mlogloss:0.003622+0.000031 test-mlogloss:1.187345+0.065770
## [440] train-mlogloss:0.003618+0.000031 test-mlogloss:1.188526+0.064821
## [441] train-mlogloss:0.003613+0.000031 test-mlogloss:1.188797+0.066054
## [442] train-mlogloss:0.003607+0.000033 test-mlogloss:1.188747+0.066087
## [443] train-mlogloss:0.003604+0.000033 test-mlogloss:1.188363+0.065889
## [444] train-mlogloss:0.003600+0.000032 test-mlogloss:1.189059+0.065675
## [445] train-mlogloss:0.003596+0.000032 test-mlogloss:1.188798+0.066448
## [446] train-mlogloss:0.003591+0.000031 test-mlogloss:1.189446+0.066174
## [447] train-mlogloss:0.003587+0.000031 test-mlogloss:1.189688+0.066131
## [448] train-mlogloss:0.003583+0.000031 test-mlogloss:1.190139+0.066327
## [449] train-mlogloss:0.003579+0.000032 test-mlogloss:1.190329+0.066219
## [450] train-mlogloss:0.003574+0.000033 test-mlogloss:1.190431+0.066356
## [451] train-mlogloss:0.003570+0.000033 test-mlogloss:1.190479+0.066943
## [452] train-mlogloss:0.003566+0.000032 test-mlogloss:1.190436+0.066839
## [453] train-mlogloss:0.003561+0.000032 test-mlogloss:1.191194+0.067312
## [454] train-mlogloss:0.003557+0.000032 test-mlogloss:1.191709+0.067713
## [455] train-mlogloss:0.003553+0.000031 test-mlogloss:1.191221+0.068261
## [456] train-mlogloss:0.003549+0.000032 test-mlogloss:1.190780+0.067182
## [457] train-mlogloss:0.003545+0.000031 test-mlogloss:1.190956+0.067568
## [458] train-mlogloss:0.003541+0.000032 test-mlogloss:1.191211+0.067596
## [459] train-mlogloss:0.003537+0.000032 test-mlogloss:1.191707+0.068007
## [460] train-mlogloss:0.003533+0.000032 test-mlogloss:1.191030+0.067679
## [461] train-mlogloss:0.003529+0.000030 test-mlogloss:1.191529+0.067921
## [462] train-mlogloss:0.003525+0.000030 test-mlogloss:1.190971+0.067882
## [463] train-mlogloss:0.003520+0.000031 test-mlogloss:1.191121+0.067717
## [464] train-mlogloss:0.003517+0.000031 test-mlogloss:1.192077+0.066805
## [465] train-mlogloss:0.003512+0.000031 test-mlogloss:1.192252+0.066878
## [466] train-mlogloss:0.003508+0.000031 test-mlogloss:1.192538+0.066710
## [467] train-mlogloss:0.003504+0.000031 test-mlogloss:1.193139+0.066717
## [468] train-mlogloss:0.003501+0.000031 test-mlogloss:1.193567+0.066847
## [469] train-mlogloss:0.003497+0.000031 test-mlogloss:1.193992+0.067613
## [470] train-mlogloss:0.003493+0.000032 test-mlogloss:1.194364+0.067427
## [471] train-mlogloss:0.003489+0.000031 test-mlogloss:1.194596+0.067239
## [472] train-mlogloss:0.003484+0.000031 test-mlogloss:1.195176+0.067081
## [473] train-mlogloss:0.003480+0.000030 test-mlogloss:1.195207+0.067484
## [474] train-mlogloss:0.003476+0.000030 test-mlogloss:1.194967+0.067202
## [475] train-mlogloss:0.003473+0.000030 test-mlogloss:1.195155+0.066804
## [476] train-mlogloss:0.003470+0.000030 test-mlogloss:1.195547+0.067146
## [477] train-mlogloss:0.003467+0.000029 test-mlogloss:1.195681+0.067845
## [478] train-mlogloss:0.003463+0.000029 test-mlogloss:1.195392+0.067290
## [479] train-mlogloss:0.003459+0.000029 test-mlogloss:1.195670+0.066421
## [480] train-mlogloss:0.003455+0.000029 test-mlogloss:1.196706+0.066623
## [481] train-mlogloss:0.003450+0.000029 test-mlogloss:1.196507+0.066945
## [482] train-mlogloss:0.003447+0.000029 test-mlogloss:1.196288+0.066588
## [483] train-mlogloss:0.003443+0.000028 test-mlogloss:1.196467+0.067631
## [484] train-mlogloss:0.003440+0.000029 test-mlogloss:1.195739+0.067788
## [485] train-mlogloss:0.003436+0.000028 test-mlogloss:1.196487+0.067854
## [486] train-mlogloss:0.003432+0.000028 test-mlogloss:1.196454+0.067855
## [487] train-mlogloss:0.003429+0.000028 test-mlogloss:1.197248+0.067321
## [488] train-mlogloss:0.003425+0.000027 test-mlogloss:1.197006+0.067153
## [489] train-mlogloss:0.003422+0.000027 test-mlogloss:1.197810+0.066962
## [490] train-mlogloss:0.003419+0.000027 test-mlogloss:1.198360+0.066886
## [491] train-mlogloss:0.003415+0.000027 test-mlogloss:1.198915+0.066766
## [492] train-mlogloss:0.003412+0.000028 test-mlogloss:1.199390+0.066600
## [493] train-mlogloss:0.003408+0.000026 test-mlogloss:1.198975+0.066501
## [494] train-mlogloss:0.003404+0.000027 test-mlogloss:1.199072+0.065908
## [495] train-mlogloss:0.003400+0.000027 test-mlogloss:1.199226+0.066034
## [496] train-mlogloss:0.003397+0.000028 test-mlogloss:1.199118+0.065888
## [497] train-mlogloss:0.003393+0.000028 test-mlogloss:1.199319+0.065826
## [498] train-mlogloss:0.003389+0.000028 test-mlogloss:1.199619+0.065586
## [499] train-mlogloss:0.003385+0.000028 test-mlogloss:1.199859+0.065604
## [500] train-mlogloss:0.003381+0.000028 test-mlogloss:1.200260+0.065611
## [1] train-mlogloss:0.615537+0.001639 test-mlogloss:0.622891+0.004356
## [2] train-mlogloss:0.571360+0.001554 test-mlogloss:0.584833+0.004863
## [3] train-mlogloss:0.543582+0.002309 test-mlogloss:0.564084+0.006278
## [4] train-mlogloss:0.525453+0.002374 test-mlogloss:0.551572+0.007802
## [5] train-mlogloss:0.512636+0.002827 test-mlogloss:0.543715+0.008031
## [6] train-mlogloss:0.503306+0.003431 test-mlogloss:0.539635+0.008885
## [7] train-mlogloss:0.496366+0.003608 test-mlogloss:0.536868+0.010481
## [8] train-mlogloss:0.490538+0.003918 test-mlogloss:0.535716+0.010379
## [9] train-mlogloss:0.485761+0.003865 test-mlogloss:0.534941+0.011033
## [10] train-mlogloss:0.482050+0.003857 test-mlogloss:0.534127+0.011940
## [11] train-mlogloss:0.478890+0.004136 test-mlogloss:0.534456+0.012086
## [12] train-mlogloss:0.475771+0.003538 test-mlogloss:0.534832+0.012913
## [13] train-mlogloss:0.474030+0.003456 test-mlogloss:0.534927+0.013485
## [14] train-mlogloss:0.472298+0.004131 test-mlogloss:0.534874+0.013345
## [15] train-mlogloss:0.470478+0.004414 test-mlogloss:0.535134+0.013086
## [16] train-mlogloss:0.468917+0.004835 test-mlogloss:0.535678+0.013446
## [17] train-mlogloss:0.466923+0.004442 test-mlogloss:0.536460+0.013367
## [18] train-mlogloss:0.465242+0.004471 test-mlogloss:0.536695+0.013210
## [19] train-mlogloss:0.463465+0.005338 test-mlogloss:0.537327+0.013638
## [20] train-mlogloss:0.461721+0.005003 test-mlogloss:0.537570+0.013683
## [21] train-mlogloss:0.458867+0.004536 test-mlogloss:0.537998+0.013338
## [22] train-mlogloss:0.457376+0.005133 test-mlogloss:0.538684+0.013564
## [23] train-mlogloss:0.456171+0.005520 test-mlogloss:0.539152+0.013611
## [24] train-mlogloss:0.454659+0.005827 test-mlogloss:0.539645+0.013744
## [25] train-mlogloss:0.452431+0.006067 test-mlogloss:0.540257+0.013660
## [26] train-mlogloss:0.450311+0.006023 test-mlogloss:0.540875+0.013515
## [27] train-mlogloss:0.448214+0.006493 test-mlogloss:0.540929+0.013466
## [28] train-mlogloss:0.446028+0.006545 test-mlogloss:0.541847+0.013693
## [29] train-mlogloss:0.443707+0.005575 test-mlogloss:0.542087+0.013570
## [30] train-mlogloss:0.440687+0.005770 test-mlogloss:0.542615+0.013252
## [31] train-mlogloss:0.438575+0.006367 test-mlogloss:0.542999+0.013077
## [32] train-mlogloss:0.436444+0.005430 test-mlogloss:0.542926+0.013161
## [33] train-mlogloss:0.433519+0.005810 test-mlogloss:0.543534+0.012900
## [34] train-mlogloss:0.430308+0.005505 test-mlogloss:0.544019+0.012926
## [35] train-mlogloss:0.428316+0.005766 test-mlogloss:0.544329+0.013419
## [36] train-mlogloss:0.425851+0.006856 test-mlogloss:0.544892+0.013557
## [37] train-mlogloss:0.424412+0.006777 test-mlogloss:0.545000+0.013047
## [38] train-mlogloss:0.422089+0.006971 test-mlogloss:0.545492+0.013363
## [39] train-mlogloss:0.420349+0.006749 test-mlogloss:0.545957+0.013778
## [40] train-mlogloss:0.419126+0.006607 test-mlogloss:0.545915+0.013069
## [41] train-mlogloss:0.417828+0.006971 test-mlogloss:0.546209+0.013277
## [42] train-mlogloss:0.415845+0.007116 test-mlogloss:0.546398+0.013222
## [43] train-mlogloss:0.413947+0.007863 test-mlogloss:0.546674+0.012919
## [44] train-mlogloss:0.412252+0.008711 test-mlogloss:0.546645+0.012794
## [45] train-mlogloss:0.410567+0.008980 test-mlogloss:0.547184+0.012739
## [46] train-mlogloss:0.409432+0.008537 test-mlogloss:0.547407+0.012740
## [47] train-mlogloss:0.408529+0.008488 test-mlogloss:0.547619+0.012778
## [48] train-mlogloss:0.405682+0.008392 test-mlogloss:0.548113+0.012715
## [49] train-mlogloss:0.403075+0.008960 test-mlogloss:0.548869+0.013432
## [50] train-mlogloss:0.400642+0.009071 test-mlogloss:0.548918+0.013499
## [51] train-mlogloss:0.399044+0.009698 test-mlogloss:0.548641+0.013058
## [52] train-mlogloss:0.396922+0.010077 test-mlogloss:0.549433+0.013312
## [53] train-mlogloss:0.395051+0.010136 test-mlogloss:0.549954+0.013267
## [54] train-mlogloss:0.393133+0.010394 test-mlogloss:0.550363+0.013121
## [55] train-mlogloss:0.391839+0.010153 test-mlogloss:0.550776+0.013202
## [56] train-mlogloss:0.390157+0.010606 test-mlogloss:0.551429+0.013277
## [57] train-mlogloss:0.387513+0.011000 test-mlogloss:0.551780+0.013354
## [58] train-mlogloss:0.386146+0.010994 test-mlogloss:0.552282+0.013429
## [59] train-mlogloss:0.384280+0.010944 test-mlogloss:0.552544+0.013977
## [60] train-mlogloss:0.383337+0.010729 test-mlogloss:0.552949+0.013985
## [61] train-mlogloss:0.381025+0.009759 test-mlogloss:0.553853+0.013956
## [62] train-mlogloss:0.379529+0.009471 test-mlogloss:0.554242+0.013840
## [63] train-mlogloss:0.377123+0.008659 test-mlogloss:0.555135+0.013745
## [64] train-mlogloss:0.375209+0.008413 test-mlogloss:0.555538+0.013791
## [65] train-mlogloss:0.373372+0.008671 test-mlogloss:0.556169+0.014064
## [66] train-mlogloss:0.370976+0.008390 test-mlogloss:0.556445+0.014020
## [67] train-mlogloss:0.369421+0.008510 test-mlogloss:0.556624+0.013910
## [68] train-mlogloss:0.367134+0.008859 test-mlogloss:0.556792+0.014141
## [69] train-mlogloss:0.365483+0.009328 test-mlogloss:0.557076+0.014098
## [70] train-mlogloss:0.364219+0.009838 test-mlogloss:0.557373+0.014236
## [71] train-mlogloss:0.363023+0.009928 test-mlogloss:0.558068+0.014540
## [72] train-mlogloss:0.361953+0.010257 test-mlogloss:0.558221+0.014377
## [73] train-mlogloss:0.359868+0.009853 test-mlogloss:0.558265+0.014407
## [74] train-mlogloss:0.358017+0.009529 test-mlogloss:0.558815+0.014485
## [75] train-mlogloss:0.356196+0.008845 test-mlogloss:0.559434+0.014702
## [76] train-mlogloss:0.354799+0.009024 test-mlogloss:0.559426+0.015081
## [77] train-mlogloss:0.352990+0.009504 test-mlogloss:0.559734+0.015080
## [78] train-mlogloss:0.351226+0.009621 test-mlogloss:0.559862+0.015393
## [79] train-mlogloss:0.349566+0.009306 test-mlogloss:0.560527+0.015168
## [80] train-mlogloss:0.347696+0.008579 test-mlogloss:0.561054+0.014923
## [81] train-mlogloss:0.345985+0.008021 test-mlogloss:0.561769+0.014599
## [82] train-mlogloss:0.344038+0.008082 test-mlogloss:0.561697+0.014497
## [83] train-mlogloss:0.342554+0.008141 test-mlogloss:0.562169+0.014346
## [84] train-mlogloss:0.341242+0.007841 test-mlogloss:0.562235+0.014057
## [85] train-mlogloss:0.339915+0.007852 test-mlogloss:0.562795+0.014017
## [86] train-mlogloss:0.338402+0.008380 test-mlogloss:0.562768+0.014106
## [87] train-mlogloss:0.336435+0.008750 test-mlogloss:0.562586+0.013862
## [88] train-mlogloss:0.335120+0.009268 test-mlogloss:0.563290+0.013654
## [89] train-mlogloss:0.333576+0.009524 test-mlogloss:0.563545+0.013192
## [90] train-mlogloss:0.331965+0.009450 test-mlogloss:0.564103+0.013555
## [91] train-mlogloss:0.330512+0.008783 test-mlogloss:0.564764+0.013456
## [92] train-mlogloss:0.329562+0.008613 test-mlogloss:0.565331+0.013376
## [93] train-mlogloss:0.328149+0.009219 test-mlogloss:0.565988+0.013976
## [94] train-mlogloss:0.327066+0.009814 test-mlogloss:0.566295+0.014056
## [95] train-mlogloss:0.326025+0.009515 test-mlogloss:0.566453+0.014269
## [96] train-mlogloss:0.324682+0.009556 test-mlogloss:0.566386+0.014026
## [97] train-mlogloss:0.323600+0.009250 test-mlogloss:0.566644+0.014189
## [98] train-mlogloss:0.321958+0.009166 test-mlogloss:0.567267+0.013690
## [99] train-mlogloss:0.319962+0.009111 test-mlogloss:0.567954+0.013694
## [100] train-mlogloss:0.318063+0.008957 test-mlogloss:0.568484+0.013646
## [101] train-mlogloss:0.316395+0.009096 test-mlogloss:0.569179+0.014040
## [102] train-mlogloss:0.314593+0.009518 test-mlogloss:0.569892+0.014133
## [103] train-mlogloss:0.312331+0.009793 test-mlogloss:0.570538+0.013782
## [104] train-mlogloss:0.310419+0.009798 test-mlogloss:0.571152+0.013841
## [105] train-mlogloss:0.309138+0.010087 test-mlogloss:0.571955+0.013937
## [106] train-mlogloss:0.308346+0.009885 test-mlogloss:0.572446+0.013766
## [107] train-mlogloss:0.306858+0.009730 test-mlogloss:0.572926+0.014244
## [108] train-mlogloss:0.305269+0.009625 test-mlogloss:0.573614+0.013817
## [109] train-mlogloss:0.304064+0.009535 test-mlogloss:0.574732+0.013921
## [110] train-mlogloss:0.302491+0.009658 test-mlogloss:0.575294+0.013770
## [111] train-mlogloss:0.300947+0.009110 test-mlogloss:0.575532+0.013676
## [112] train-mlogloss:0.299652+0.009071 test-mlogloss:0.575986+0.013715
## [113] train-mlogloss:0.298724+0.009234 test-mlogloss:0.576285+0.013558
## [114] train-mlogloss:0.298059+0.009149 test-mlogloss:0.576615+0.013248
## [115] train-mlogloss:0.296674+0.008734 test-mlogloss:0.577117+0.013312
## [116] train-mlogloss:0.295726+0.008407 test-mlogloss:0.577641+0.013379
## [117] train-mlogloss:0.294724+0.008221 test-mlogloss:0.578084+0.013627
## [118] train-mlogloss:0.293148+0.007942 test-mlogloss:0.578579+0.013926
## [119] train-mlogloss:0.291766+0.008201 test-mlogloss:0.579012+0.013978
## [120] train-mlogloss:0.290258+0.008244 test-mlogloss:0.579475+0.014305
## [121] train-mlogloss:0.289260+0.007982 test-mlogloss:0.579836+0.014242
## [122] train-mlogloss:0.287534+0.007227 test-mlogloss:0.580047+0.014439
## [123] train-mlogloss:0.286409+0.006567 test-mlogloss:0.580675+0.014475
## [124] train-mlogloss:0.285312+0.006345 test-mlogloss:0.581204+0.014301
## [125] train-mlogloss:0.284098+0.006304 test-mlogloss:0.581877+0.014357
## [126] train-mlogloss:0.283243+0.006220 test-mlogloss:0.582468+0.014121
## [127] train-mlogloss:0.282538+0.006308 test-mlogloss:0.582592+0.014149
## [128] train-mlogloss:0.280855+0.006252 test-mlogloss:0.582960+0.013939
## [129] train-mlogloss:0.279058+0.006029 test-mlogloss:0.583226+0.014178
## [130] train-mlogloss:0.277694+0.006456 test-mlogloss:0.583412+0.013871
## [131] train-mlogloss:0.276286+0.006555 test-mlogloss:0.583234+0.013540
## [132] train-mlogloss:0.275242+0.006575 test-mlogloss:0.583478+0.013594
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## [135] train-mlogloss:0.270905+0.006913 test-mlogloss:0.584969+0.014039
## [136] train-mlogloss:0.269906+0.006745 test-mlogloss:0.585281+0.014072
## [137] train-mlogloss:0.268646+0.006849 test-mlogloss:0.585749+0.014056
## [138] train-mlogloss:0.267439+0.006498 test-mlogloss:0.585732+0.014429
## [139] train-mlogloss:0.266694+0.006360 test-mlogloss:0.586352+0.014710
## [140] train-mlogloss:0.265638+0.006525 test-mlogloss:0.586473+0.014899
## [141] train-mlogloss:0.264703+0.006981 test-mlogloss:0.586606+0.015082
## [142] train-mlogloss:0.263075+0.007028 test-mlogloss:0.587276+0.015406
## [143] train-mlogloss:0.262139+0.007325 test-mlogloss:0.587893+0.015323
## [144] train-mlogloss:0.261094+0.007208 test-mlogloss:0.588773+0.015516
## [145] train-mlogloss:0.260555+0.007283 test-mlogloss:0.589032+0.015689
## [146] train-mlogloss:0.259762+0.007482 test-mlogloss:0.589493+0.015811
## [147] train-mlogloss:0.258925+0.007118 test-mlogloss:0.590291+0.015650
## [148] train-mlogloss:0.258139+0.007215 test-mlogloss:0.590566+0.015952
## [149] train-mlogloss:0.256925+0.006947 test-mlogloss:0.591141+0.015852
## [150] train-mlogloss:0.255631+0.007068 test-mlogloss:0.591555+0.015744
## [151] train-mlogloss:0.254661+0.007279 test-mlogloss:0.591425+0.016288
## [152] train-mlogloss:0.253321+0.006956 test-mlogloss:0.592133+0.016275
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## [154] train-mlogloss:0.250684+0.006629 test-mlogloss:0.592944+0.016550
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## [158] train-mlogloss:0.245812+0.007372 test-mlogloss:0.594377+0.016933
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## [162] train-mlogloss:0.242314+0.008003 test-mlogloss:0.595034+0.017176
## [163] train-mlogloss:0.241259+0.008627 test-mlogloss:0.595394+0.017229
## [164] train-mlogloss:0.240236+0.008548 test-mlogloss:0.595798+0.017622
## [165] train-mlogloss:0.239290+0.008371 test-mlogloss:0.596175+0.017990
## [166] train-mlogloss:0.238405+0.008213 test-mlogloss:0.596886+0.018053
## [167] train-mlogloss:0.237965+0.007953 test-mlogloss:0.597138+0.018256
## [168] train-mlogloss:0.236750+0.007843 test-mlogloss:0.597417+0.018446
## [169] train-mlogloss:0.235759+0.007549 test-mlogloss:0.597565+0.017999
## [170] train-mlogloss:0.235053+0.007301 test-mlogloss:0.597796+0.018053
## [171] train-mlogloss:0.233745+0.007479 test-mlogloss:0.597843+0.017899
## [172] train-mlogloss:0.233211+0.007630 test-mlogloss:0.598105+0.017928
## [173] train-mlogloss:0.232436+0.007430 test-mlogloss:0.598716+0.017860
## [174] train-mlogloss:0.231140+0.007754 test-mlogloss:0.598775+0.017933
## [175] train-mlogloss:0.230245+0.007822 test-mlogloss:0.599279+0.017416
## [176] train-mlogloss:0.229346+0.007930 test-mlogloss:0.599581+0.017387
## [177] train-mlogloss:0.228697+0.007970 test-mlogloss:0.599917+0.017449
## [178] train-mlogloss:0.228108+0.007990 test-mlogloss:0.600322+0.017845
## [179] train-mlogloss:0.227053+0.008535 test-mlogloss:0.600765+0.018008
## [180] train-mlogloss:0.226235+0.008565 test-mlogloss:0.601351+0.017930
## [181] train-mlogloss:0.225230+0.008843 test-mlogloss:0.602024+0.018468
## [182] train-mlogloss:0.224559+0.008843 test-mlogloss:0.602243+0.018349
## [183] train-mlogloss:0.224141+0.008890 test-mlogloss:0.602652+0.018375
## [184] train-mlogloss:0.223183+0.009015 test-mlogloss:0.602926+0.018630
## [185] train-mlogloss:0.222669+0.009117 test-mlogloss:0.603018+0.018595
## [186] train-mlogloss:0.222131+0.009145 test-mlogloss:0.603679+0.018691
## [187] train-mlogloss:0.221418+0.009441 test-mlogloss:0.604197+0.019115
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## [189] train-mlogloss:0.219536+0.009113 test-mlogloss:0.605057+0.019209
## [190] train-mlogloss:0.218551+0.009204 test-mlogloss:0.605435+0.019638
## [191] train-mlogloss:0.217637+0.009321 test-mlogloss:0.605864+0.019473
## [192] train-mlogloss:0.216669+0.008743 test-mlogloss:0.606103+0.019586
## [193] train-mlogloss:0.215746+0.008593 test-mlogloss:0.606599+0.019211
## [194] train-mlogloss:0.214874+0.008475 test-mlogloss:0.607192+0.019139
## [195] train-mlogloss:0.214105+0.008467 test-mlogloss:0.607256+0.019206
## [196] train-mlogloss:0.213697+0.008451 test-mlogloss:0.607901+0.018938
## [197] train-mlogloss:0.212674+0.008354 test-mlogloss:0.608613+0.018619
## [198] train-mlogloss:0.211923+0.008272 test-mlogloss:0.609042+0.018728
## [199] train-mlogloss:0.210970+0.008207 test-mlogloss:0.609439+0.018676
## [200] train-mlogloss:0.210051+0.008298 test-mlogloss:0.609878+0.019068
## [201] train-mlogloss:0.209350+0.008544 test-mlogloss:0.609918+0.019022
## [202] train-mlogloss:0.208621+0.008333 test-mlogloss:0.610298+0.019022
## [203] train-mlogloss:0.207725+0.008521 test-mlogloss:0.610902+0.019657
## [204] train-mlogloss:0.206991+0.008495 test-mlogloss:0.611487+0.019889
## [205] train-mlogloss:0.206032+0.008065 test-mlogloss:0.611444+0.019714
## [206] train-mlogloss:0.205043+0.008180 test-mlogloss:0.611623+0.019917
## [207] train-mlogloss:0.204293+0.008311 test-mlogloss:0.611878+0.019806
## [208] train-mlogloss:0.203250+0.008329 test-mlogloss:0.612301+0.019939
## [209] train-mlogloss:0.202239+0.008331 test-mlogloss:0.612802+0.020116
## [210] train-mlogloss:0.201229+0.008154 test-mlogloss:0.613480+0.019862
## [211] train-mlogloss:0.200317+0.008018 test-mlogloss:0.613760+0.020112
## [212] train-mlogloss:0.199733+0.008352 test-mlogloss:0.613743+0.020048
## [213] train-mlogloss:0.198803+0.008599 test-mlogloss:0.614003+0.020736
## [214] train-mlogloss:0.198023+0.008917 test-mlogloss:0.614662+0.020952
## [215] train-mlogloss:0.197179+0.009367 test-mlogloss:0.614857+0.021068
## [216] train-mlogloss:0.196311+0.009444 test-mlogloss:0.615187+0.021396
## [217] train-mlogloss:0.194909+0.009375 test-mlogloss:0.615840+0.021643
## [218] train-mlogloss:0.194266+0.009493 test-mlogloss:0.616121+0.021677
## [219] train-mlogloss:0.193662+0.009315 test-mlogloss:0.616753+0.021805
## [220] train-mlogloss:0.192841+0.009098 test-mlogloss:0.617263+0.021538
## [221] train-mlogloss:0.192055+0.008922 test-mlogloss:0.617788+0.021582
## [222] train-mlogloss:0.191173+0.009114 test-mlogloss:0.618124+0.021420
## [223] train-mlogloss:0.190305+0.009091 test-mlogloss:0.618739+0.021756
## [224] train-mlogloss:0.189616+0.009109 test-mlogloss:0.618971+0.022007
## [225] train-mlogloss:0.188640+0.009120 test-mlogloss:0.619780+0.021976
## [226] train-mlogloss:0.187935+0.009023 test-mlogloss:0.620189+0.022028
## [227] train-mlogloss:0.187183+0.008900 test-mlogloss:0.620613+0.022052
## [228] train-mlogloss:0.186550+0.008883 test-mlogloss:0.621130+0.022068
## [229] train-mlogloss:0.185699+0.008657 test-mlogloss:0.621612+0.022208
## [230] train-mlogloss:0.184955+0.008374 test-mlogloss:0.622328+0.022367
## [231] train-mlogloss:0.184262+0.008216 test-mlogloss:0.622530+0.022124
## [232] train-mlogloss:0.183236+0.008080 test-mlogloss:0.622922+0.022254
## [233] train-mlogloss:0.182418+0.008418 test-mlogloss:0.623661+0.022843
## [234] train-mlogloss:0.181837+0.008222 test-mlogloss:0.624063+0.022872
## [235] train-mlogloss:0.181265+0.008119 test-mlogloss:0.624184+0.023120
## [236] train-mlogloss:0.180517+0.008329 test-mlogloss:0.624417+0.022801
## [237] train-mlogloss:0.180080+0.008236 test-mlogloss:0.624718+0.022889
## [238] train-mlogloss:0.179586+0.008262 test-mlogloss:0.625125+0.022949
## [239] train-mlogloss:0.179228+0.008124 test-mlogloss:0.625162+0.023226
## [240] train-mlogloss:0.178807+0.007894 test-mlogloss:0.625393+0.022964
## [241] train-mlogloss:0.178067+0.007811 test-mlogloss:0.625952+0.022810
## [242] train-mlogloss:0.177538+0.007917 test-mlogloss:0.626334+0.022856
## [243] train-mlogloss:0.177013+0.007969 test-mlogloss:0.626869+0.022863
## [244] train-mlogloss:0.176474+0.007822 test-mlogloss:0.627203+0.022843
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## [248] train-mlogloss:0.174313+0.007495 test-mlogloss:0.628978+0.022393
## [249] train-mlogloss:0.173391+0.007472 test-mlogloss:0.629368+0.022431
## [250] train-mlogloss:0.172832+0.007396 test-mlogloss:0.629813+0.022324
## [251] train-mlogloss:0.171992+0.007596 test-mlogloss:0.630262+0.022360
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## [253] train-mlogloss:0.171071+0.008002 test-mlogloss:0.631136+0.022798
## [254] train-mlogloss:0.170354+0.007900 test-mlogloss:0.631566+0.022735
## [255] train-mlogloss:0.169455+0.007740 test-mlogloss:0.631962+0.022604
## [256] train-mlogloss:0.168949+0.007857 test-mlogloss:0.632329+0.022717
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## [258] train-mlogloss:0.168050+0.008179 test-mlogloss:0.632914+0.022822
## [259] train-mlogloss:0.167426+0.007971 test-mlogloss:0.633192+0.022580
## [260] train-mlogloss:0.166739+0.007801 test-mlogloss:0.633071+0.022686
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## [267] train-mlogloss:0.163080+0.007419 test-mlogloss:0.635760+0.023522
## [268] train-mlogloss:0.162336+0.007132 test-mlogloss:0.636184+0.023435
## [269] train-mlogloss:0.161949+0.007059 test-mlogloss:0.636703+0.023181
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## [271] train-mlogloss:0.160670+0.006999 test-mlogloss:0.637483+0.023532
## [272] train-mlogloss:0.160062+0.006914 test-mlogloss:0.637915+0.023704
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## [275] train-mlogloss:0.158216+0.006637 test-mlogloss:0.639228+0.023779
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## [289] train-mlogloss:0.150065+0.006459 test-mlogloss:0.644455+0.026751
## [290] train-mlogloss:0.149522+0.006401 test-mlogloss:0.644774+0.027054
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## [299] train-mlogloss:0.144366+0.005986 test-mlogloss:0.648284+0.027038
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## [320] train-mlogloss:0.134400+0.005036 test-mlogloss:0.657461+0.027578
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## [331] train-mlogloss:0.129416+0.005069 test-mlogloss:0.660999+0.028372
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## [345] train-mlogloss:0.123708+0.004900 test-mlogloss:0.666473+0.027855
## [346] train-mlogloss:0.123341+0.004916 test-mlogloss:0.666883+0.027715
## [347] train-mlogloss:0.123108+0.005014 test-mlogloss:0.667334+0.027721
## [348] train-mlogloss:0.122859+0.005186 test-mlogloss:0.667926+0.027815
## [349] train-mlogloss:0.122460+0.005274 test-mlogloss:0.668173+0.027929
## [350] train-mlogloss:0.121907+0.005430 test-mlogloss:0.668325+0.028007
## [351] train-mlogloss:0.121513+0.005527 test-mlogloss:0.668904+0.028305
## [352] train-mlogloss:0.121092+0.005473 test-mlogloss:0.669163+0.028166
## [353] train-mlogloss:0.120588+0.005289 test-mlogloss:0.669480+0.028074
## [354] train-mlogloss:0.120290+0.005304 test-mlogloss:0.669675+0.028180
## [355] train-mlogloss:0.119869+0.005416 test-mlogloss:0.669954+0.028343
## [356] train-mlogloss:0.119357+0.005298 test-mlogloss:0.670278+0.028274
## [357] train-mlogloss:0.118879+0.005171 test-mlogloss:0.670462+0.028632
## [358] train-mlogloss:0.118443+0.005036 test-mlogloss:0.670729+0.028696
## [359] train-mlogloss:0.117999+0.005140 test-mlogloss:0.671052+0.028660
## [360] train-mlogloss:0.117526+0.005090 test-mlogloss:0.671416+0.028476
## [361] train-mlogloss:0.117028+0.004937 test-mlogloss:0.671682+0.028336
## [362] train-mlogloss:0.116571+0.004985 test-mlogloss:0.671750+0.028411
## [363] train-mlogloss:0.116150+0.004787 test-mlogloss:0.671917+0.028480
## [364] train-mlogloss:0.115890+0.004888 test-mlogloss:0.672056+0.028338
## [365] train-mlogloss:0.115683+0.004928 test-mlogloss:0.672335+0.028317
## [366] train-mlogloss:0.115315+0.004920 test-mlogloss:0.672952+0.028348
## [367] train-mlogloss:0.114987+0.004775 test-mlogloss:0.673288+0.028140
## [368] train-mlogloss:0.114618+0.004996 test-mlogloss:0.673650+0.028105
## [369] train-mlogloss:0.114133+0.005051 test-mlogloss:0.673910+0.028276
## [370] train-mlogloss:0.113850+0.005115 test-mlogloss:0.673911+0.028100
## [371] train-mlogloss:0.113405+0.005314 test-mlogloss:0.674558+0.028332
## [372] train-mlogloss:0.113116+0.005533 test-mlogloss:0.675242+0.028706
## [373] train-mlogloss:0.112805+0.005619 test-mlogloss:0.675413+0.028760
## [374] train-mlogloss:0.112518+0.005596 test-mlogloss:0.675894+0.028796
## [375] train-mlogloss:0.112250+0.005618 test-mlogloss:0.676114+0.028743
## [376] train-mlogloss:0.111879+0.005518 test-mlogloss:0.676411+0.028944
## [377] train-mlogloss:0.111509+0.005333 test-mlogloss:0.676869+0.028948
## [378] train-mlogloss:0.111187+0.005283 test-mlogloss:0.677437+0.029139
## [379] train-mlogloss:0.110878+0.005170 test-mlogloss:0.677724+0.029256
## [380] train-mlogloss:0.110507+0.005207 test-mlogloss:0.678205+0.029416
## [381] train-mlogloss:0.110102+0.005099 test-mlogloss:0.678433+0.029137
## [382] train-mlogloss:0.109657+0.004972 test-mlogloss:0.678961+0.029015
## [383] train-mlogloss:0.109270+0.005001 test-mlogloss:0.679552+0.029144
## [384] train-mlogloss:0.108881+0.004954 test-mlogloss:0.680200+0.029107
## [385] train-mlogloss:0.108715+0.004910 test-mlogloss:0.680674+0.028969
## [386] train-mlogloss:0.108400+0.004913 test-mlogloss:0.680934+0.028849
## [387] train-mlogloss:0.108109+0.005069 test-mlogloss:0.681189+0.028973
## [388] train-mlogloss:0.107777+0.005113 test-mlogloss:0.681298+0.028915
## [389] train-mlogloss:0.107445+0.005070 test-mlogloss:0.681632+0.028978
## [390] train-mlogloss:0.107155+0.005065 test-mlogloss:0.682029+0.029045
## [391] train-mlogloss:0.106854+0.004943 test-mlogloss:0.682288+0.028972
## [392] train-mlogloss:0.106491+0.004818 test-mlogloss:0.682584+0.029065
## [393] train-mlogloss:0.106306+0.004826 test-mlogloss:0.682886+0.029235
## [394] train-mlogloss:0.106121+0.004794 test-mlogloss:0.683219+0.029255
## [395] train-mlogloss:0.105865+0.004682 test-mlogloss:0.683391+0.029274
## [396] train-mlogloss:0.105641+0.004776 test-mlogloss:0.683791+0.029570
## [397] train-mlogloss:0.105361+0.004696 test-mlogloss:0.683962+0.029572
## [398] train-mlogloss:0.104999+0.004547 test-mlogloss:0.684258+0.029795
## [399] train-mlogloss:0.104741+0.004583 test-mlogloss:0.684713+0.029972
## [400] train-mlogloss:0.104374+0.004593 test-mlogloss:0.684836+0.029792
## [401] train-mlogloss:0.104158+0.004584 test-mlogloss:0.685181+0.029722
## [402] train-mlogloss:0.103674+0.004678 test-mlogloss:0.685697+0.029491
## [403] train-mlogloss:0.103311+0.004767 test-mlogloss:0.685978+0.029906
## [404] train-mlogloss:0.102971+0.004703 test-mlogloss:0.686445+0.029825
## [405] train-mlogloss:0.102573+0.004693 test-mlogloss:0.687000+0.030003
## [406] train-mlogloss:0.102345+0.004660 test-mlogloss:0.687479+0.030099
## [407] train-mlogloss:0.102033+0.004673 test-mlogloss:0.687500+0.030239
## [408] train-mlogloss:0.101749+0.004668 test-mlogloss:0.687788+0.030243
## [409] train-mlogloss:0.101609+0.004591 test-mlogloss:0.687877+0.030252
## [410] train-mlogloss:0.101351+0.004529 test-mlogloss:0.687879+0.030367
## [411] train-mlogloss:0.101048+0.004463 test-mlogloss:0.688360+0.030357
## [412] train-mlogloss:0.100715+0.004450 test-mlogloss:0.688641+0.030482
## [413] train-mlogloss:0.100396+0.004542 test-mlogloss:0.688665+0.030315
## [414] train-mlogloss:0.100112+0.004609 test-mlogloss:0.688806+0.030358
## [415] train-mlogloss:0.099838+0.004543 test-mlogloss:0.689372+0.030329
## [416] train-mlogloss:0.099452+0.004643 test-mlogloss:0.690074+0.030757
## [417] train-mlogloss:0.099012+0.004657 test-mlogloss:0.690594+0.030906
## [418] train-mlogloss:0.098835+0.004678 test-mlogloss:0.691015+0.031135
## [419] train-mlogloss:0.098457+0.004787 test-mlogloss:0.691443+0.031181
## [420] train-mlogloss:0.098143+0.004675 test-mlogloss:0.691716+0.031309
## [421] train-mlogloss:0.097829+0.004716 test-mlogloss:0.692046+0.031524
## [422] train-mlogloss:0.097544+0.004736 test-mlogloss:0.692485+0.031558
## [423] train-mlogloss:0.097188+0.004884 test-mlogloss:0.692964+0.031763
## [424] train-mlogloss:0.096785+0.004840 test-mlogloss:0.693569+0.031960
## [425] train-mlogloss:0.096465+0.004943 test-mlogloss:0.694015+0.032072
## [426] train-mlogloss:0.096083+0.004757 test-mlogloss:0.694555+0.031887
## [427] train-mlogloss:0.095785+0.004869 test-mlogloss:0.694931+0.032032
## [428] train-mlogloss:0.095409+0.004829 test-mlogloss:0.695498+0.032141
## [429] train-mlogloss:0.095154+0.004823 test-mlogloss:0.695640+0.032103
## [430] train-mlogloss:0.094869+0.004733 test-mlogloss:0.695935+0.031989
## [431] train-mlogloss:0.094531+0.004750 test-mlogloss:0.696470+0.032070
## [432] train-mlogloss:0.094291+0.004770 test-mlogloss:0.696765+0.032196
## [433] train-mlogloss:0.094084+0.004770 test-mlogloss:0.697083+0.032403
## [434] train-mlogloss:0.093914+0.004865 test-mlogloss:0.697388+0.032482
## [435] train-mlogloss:0.093700+0.004855 test-mlogloss:0.697747+0.032542
## [436] train-mlogloss:0.093412+0.004841 test-mlogloss:0.698012+0.032276
## [437] train-mlogloss:0.093140+0.004797 test-mlogloss:0.698338+0.032533
## [438] train-mlogloss:0.092922+0.004861 test-mlogloss:0.698719+0.032846
## [439] train-mlogloss:0.092674+0.004997 test-mlogloss:0.698933+0.033000
## [440] train-mlogloss:0.092389+0.005052 test-mlogloss:0.698883+0.032847
## [441] train-mlogloss:0.092086+0.005015 test-mlogloss:0.699262+0.033059
## [442] train-mlogloss:0.091925+0.005000 test-mlogloss:0.699680+0.032979
## [443] train-mlogloss:0.091669+0.005002 test-mlogloss:0.699921+0.033203
## [444] train-mlogloss:0.091421+0.005009 test-mlogloss:0.700222+0.033309
## [445] train-mlogloss:0.091218+0.004939 test-mlogloss:0.700485+0.033448
## [446] train-mlogloss:0.090872+0.004854 test-mlogloss:0.700826+0.033326
## [447] train-mlogloss:0.090607+0.004806 test-mlogloss:0.701099+0.033283
## [448] train-mlogloss:0.090309+0.004748 test-mlogloss:0.701579+0.033336
## [449] train-mlogloss:0.090125+0.004750 test-mlogloss:0.701811+0.033310
## [450] train-mlogloss:0.089781+0.004821 test-mlogloss:0.702277+0.033473
## [451] train-mlogloss:0.089460+0.004794 test-mlogloss:0.702442+0.033401
## [452] train-mlogloss:0.089278+0.004872 test-mlogloss:0.702900+0.033385
## [453] train-mlogloss:0.088846+0.004854 test-mlogloss:0.703297+0.033340
## [454] train-mlogloss:0.088628+0.004865 test-mlogloss:0.703743+0.033645
## [455] train-mlogloss:0.088434+0.004837 test-mlogloss:0.704052+0.033544
## [456] train-mlogloss:0.088123+0.004834 test-mlogloss:0.704137+0.033547
## [457] train-mlogloss:0.087858+0.004850 test-mlogloss:0.704278+0.033561
## [458] train-mlogloss:0.087546+0.004872 test-mlogloss:0.704869+0.033781
## [459] train-mlogloss:0.087348+0.004808 test-mlogloss:0.705050+0.033750
## [460] train-mlogloss:0.086902+0.004717 test-mlogloss:0.705684+0.033664
## [461] train-mlogloss:0.086593+0.004634 test-mlogloss:0.706103+0.033596
## [462] train-mlogloss:0.086454+0.004612 test-mlogloss:0.706344+0.033749
## [463] train-mlogloss:0.086160+0.004694 test-mlogloss:0.707027+0.034020
## [464] train-mlogloss:0.085952+0.004765 test-mlogloss:0.707261+0.033964
## [465] train-mlogloss:0.085833+0.004770 test-mlogloss:0.707533+0.033994
## [466] train-mlogloss:0.085602+0.004873 test-mlogloss:0.708061+0.034057
## [467] train-mlogloss:0.085480+0.004840 test-mlogloss:0.708356+0.034039
## [468] train-mlogloss:0.085236+0.004888 test-mlogloss:0.708624+0.033881
## [469] train-mlogloss:0.084971+0.004778 test-mlogloss:0.709004+0.033825
## [470] train-mlogloss:0.084840+0.004778 test-mlogloss:0.709402+0.033909
## [471] train-mlogloss:0.084621+0.004677 test-mlogloss:0.709591+0.034041
## [472] train-mlogloss:0.084218+0.004554 test-mlogloss:0.710261+0.033627
## [473] train-mlogloss:0.083847+0.004512 test-mlogloss:0.710552+0.033483
## [474] train-mlogloss:0.083707+0.004486 test-mlogloss:0.710915+0.033595
## [475] train-mlogloss:0.083542+0.004517 test-mlogloss:0.711055+0.033674
## [476] train-mlogloss:0.083367+0.004503 test-mlogloss:0.711455+0.033622
## [477] train-mlogloss:0.083128+0.004381 test-mlogloss:0.711753+0.033685
## [478] train-mlogloss:0.082917+0.004459 test-mlogloss:0.712015+0.033940
## [479] train-mlogloss:0.082547+0.004388 test-mlogloss:0.712416+0.033830
## [480] train-mlogloss:0.082289+0.004325 test-mlogloss:0.712710+0.033905
## [481] train-mlogloss:0.082047+0.004300 test-mlogloss:0.713078+0.033969
## [482] train-mlogloss:0.081849+0.004331 test-mlogloss:0.713240+0.033943
## [483] train-mlogloss:0.081536+0.004412 test-mlogloss:0.713693+0.034053
## [484] train-mlogloss:0.081347+0.004465 test-mlogloss:0.713829+0.034132
## [485] train-mlogloss:0.081048+0.004445 test-mlogloss:0.714024+0.034119
## [486] train-mlogloss:0.080822+0.004442 test-mlogloss:0.714571+0.034072
## [487] train-mlogloss:0.080588+0.004505 test-mlogloss:0.714850+0.034137
## [488] train-mlogloss:0.080291+0.004487 test-mlogloss:0.714930+0.034105
## [489] train-mlogloss:0.079992+0.004557 test-mlogloss:0.715276+0.034251
## [490] train-mlogloss:0.079699+0.004617 test-mlogloss:0.715706+0.034392
## [491] train-mlogloss:0.079436+0.004604 test-mlogloss:0.716187+0.034537
## [492] train-mlogloss:0.079287+0.004591 test-mlogloss:0.716608+0.034758
## [493] train-mlogloss:0.079011+0.004623 test-mlogloss:0.717132+0.034977
## [494] train-mlogloss:0.078854+0.004645 test-mlogloss:0.717502+0.035280
## [495] train-mlogloss:0.078600+0.004615 test-mlogloss:0.717652+0.035288
## [496] train-mlogloss:0.078367+0.004545 test-mlogloss:0.717789+0.035334
## [497] train-mlogloss:0.078055+0.004469 test-mlogloss:0.718187+0.035259
## [498] train-mlogloss:0.077821+0.004511 test-mlogloss:0.718736+0.035761
## [499] train-mlogloss:0.077639+0.004480 test-mlogloss:0.718830+0.035981
## [500] train-mlogloss:0.077472+0.004481 test-mlogloss:0.719150+0.036012
## [1] train-mlogloss:0.552344+0.002222 test-mlogloss:0.628839+0.001841
## [2] train-mlogloss:0.462042+0.003635 test-mlogloss:0.596284+0.002957
## [3] train-mlogloss:0.392578+0.002464 test-mlogloss:0.580422+0.004223
## [4] train-mlogloss:0.339288+0.003404 test-mlogloss:0.569778+0.003970
## [5] train-mlogloss:0.296577+0.003271 test-mlogloss:0.565277+0.004960
## [6] train-mlogloss:0.262226+0.002867 test-mlogloss:0.564328+0.004338
## [7] train-mlogloss:0.234380+0.002027 test-mlogloss:0.566119+0.004723
## [8] train-mlogloss:0.211005+0.000956 test-mlogloss:0.568710+0.004806
## [9] train-mlogloss:0.192499+0.001876 test-mlogloss:0.571085+0.004286
## [10] train-mlogloss:0.176235+0.001704 test-mlogloss:0.574515+0.004506
## [11] train-mlogloss:0.163490+0.001837 test-mlogloss:0.578211+0.003129
## [12] train-mlogloss:0.152326+0.001906 test-mlogloss:0.581578+0.004307
## [13] train-mlogloss:0.142805+0.002311 test-mlogloss:0.585141+0.004612
## [14] train-mlogloss:0.134333+0.002161 test-mlogloss:0.589203+0.006039
## [15] train-mlogloss:0.127628+0.003255 test-mlogloss:0.592364+0.006187
## [16] train-mlogloss:0.121733+0.003728 test-mlogloss:0.595135+0.006480
## [17] train-mlogloss:0.116606+0.004172 test-mlogloss:0.598481+0.007085
## [18] train-mlogloss:0.112227+0.004525 test-mlogloss:0.600835+0.007323
## [19] train-mlogloss:0.108528+0.005436 test-mlogloss:0.603692+0.008764
## [20] train-mlogloss:0.104392+0.005262 test-mlogloss:0.606165+0.009078
## [21] train-mlogloss:0.101443+0.005403 test-mlogloss:0.609073+0.009246
## [22] train-mlogloss:0.099412+0.005451 test-mlogloss:0.610881+0.009233
## [23] train-mlogloss:0.096940+0.004743 test-mlogloss:0.612957+0.009441
## [24] train-mlogloss:0.094537+0.004929 test-mlogloss:0.615712+0.009768
## [25] train-mlogloss:0.091728+0.004150 test-mlogloss:0.617506+0.010346
## [26] train-mlogloss:0.088871+0.003790 test-mlogloss:0.620304+0.010534
## [27] train-mlogloss:0.085799+0.003287 test-mlogloss:0.622729+0.009895
## [28] train-mlogloss:0.084030+0.003066 test-mlogloss:0.624424+0.009876
## [29] train-mlogloss:0.081561+0.002928 test-mlogloss:0.626729+0.010034
## [30] train-mlogloss:0.079003+0.002894 test-mlogloss:0.629134+0.009639
## [31] train-mlogloss:0.077719+0.003098 test-mlogloss:0.630374+0.010043
## [32] train-mlogloss:0.076292+0.003349 test-mlogloss:0.632197+0.011178
## [33] train-mlogloss:0.073419+0.002947 test-mlogloss:0.635240+0.011276
## [34] train-mlogloss:0.071468+0.002821 test-mlogloss:0.637741+0.011174
## [35] train-mlogloss:0.069718+0.002177 test-mlogloss:0.639533+0.011567
## [36] train-mlogloss:0.067711+0.002086 test-mlogloss:0.642672+0.011369
## [37] train-mlogloss:0.066076+0.001672 test-mlogloss:0.644773+0.011155
## [38] train-mlogloss:0.064491+0.001653 test-mlogloss:0.646953+0.010777
## [39] train-mlogloss:0.062982+0.001412 test-mlogloss:0.649295+0.009847
## [40] train-mlogloss:0.061937+0.001096 test-mlogloss:0.651460+0.009617
## [41] train-mlogloss:0.060502+0.000853 test-mlogloss:0.654210+0.009322
## [42] train-mlogloss:0.059569+0.001201 test-mlogloss:0.655850+0.009215
## [43] train-mlogloss:0.058405+0.001116 test-mlogloss:0.657457+0.009361
## [44] train-mlogloss:0.057478+0.000939 test-mlogloss:0.658506+0.008977
## [45] train-mlogloss:0.056309+0.001124 test-mlogloss:0.660455+0.009449
## [46] train-mlogloss:0.055351+0.001180 test-mlogloss:0.662495+0.009171
## [47] train-mlogloss:0.054230+0.001285 test-mlogloss:0.664662+0.008882
## [48] train-mlogloss:0.053027+0.001141 test-mlogloss:0.666118+0.009665
## [49] train-mlogloss:0.051787+0.001084 test-mlogloss:0.667498+0.009779
## [50] train-mlogloss:0.050724+0.000943 test-mlogloss:0.669636+0.010454
## [51] train-mlogloss:0.049938+0.000958 test-mlogloss:0.670855+0.010895
## [52] train-mlogloss:0.048783+0.000715 test-mlogloss:0.673231+0.010297
## [53] train-mlogloss:0.047703+0.001117 test-mlogloss:0.675787+0.010263
## [54] train-mlogloss:0.046827+0.001330 test-mlogloss:0.677570+0.010579
## [55] train-mlogloss:0.045789+0.001311 test-mlogloss:0.679468+0.010573
## [56] train-mlogloss:0.044811+0.001220 test-mlogloss:0.681929+0.010665
## [57] train-mlogloss:0.044100+0.001003 test-mlogloss:0.683770+0.010874
## [58] train-mlogloss:0.043521+0.000964 test-mlogloss:0.684894+0.010705
## [59] train-mlogloss:0.042777+0.000907 test-mlogloss:0.686442+0.010239
## [60] train-mlogloss:0.042107+0.000967 test-mlogloss:0.688247+0.010399
## [61] train-mlogloss:0.041477+0.001223 test-mlogloss:0.689798+0.011052
## [62] train-mlogloss:0.040787+0.001103 test-mlogloss:0.692060+0.010746
## [63] train-mlogloss:0.040012+0.001097 test-mlogloss:0.694221+0.010446
## [64] train-mlogloss:0.039457+0.001315 test-mlogloss:0.696187+0.011144
## [65] train-mlogloss:0.038899+0.001313 test-mlogloss:0.697639+0.011399
## [66] train-mlogloss:0.038416+0.001281 test-mlogloss:0.699160+0.010955
## [67] train-mlogloss:0.037875+0.001337 test-mlogloss:0.700405+0.011002
## [68] train-mlogloss:0.037372+0.001218 test-mlogloss:0.701918+0.011149
## [69] train-mlogloss:0.036925+0.001322 test-mlogloss:0.703261+0.011555
## [70] train-mlogloss:0.036458+0.001366 test-mlogloss:0.704587+0.011925
## [71] train-mlogloss:0.035898+0.001340 test-mlogloss:0.705962+0.012322
## [72] train-mlogloss:0.035475+0.001376 test-mlogloss:0.707187+0.012042
## [73] train-mlogloss:0.034978+0.001332 test-mlogloss:0.708797+0.011626
## [74] train-mlogloss:0.034478+0.001335 test-mlogloss:0.710487+0.011381
## [75] train-mlogloss:0.034086+0.001337 test-mlogloss:0.711383+0.011690
## [76] train-mlogloss:0.033689+0.001254 test-mlogloss:0.712672+0.011465
## [77] train-mlogloss:0.033319+0.001258 test-mlogloss:0.713880+0.011522
## [78] train-mlogloss:0.032808+0.001105 test-mlogloss:0.715044+0.011478
## [79] train-mlogloss:0.032433+0.000998 test-mlogloss:0.716316+0.011349
## [80] train-mlogloss:0.032070+0.001017 test-mlogloss:0.717726+0.011292
## [81] train-mlogloss:0.031671+0.001050 test-mlogloss:0.719324+0.011203
## [82] train-mlogloss:0.031356+0.001063 test-mlogloss:0.720904+0.011386
## [83] train-mlogloss:0.030927+0.001021 test-mlogloss:0.722606+0.011412
## [84] train-mlogloss:0.030546+0.000934 test-mlogloss:0.724205+0.011529
## [85] train-mlogloss:0.030202+0.000999 test-mlogloss:0.725139+0.011951
## [86] train-mlogloss:0.029838+0.000992 test-mlogloss:0.726693+0.011460
## [87] train-mlogloss:0.029532+0.000917 test-mlogloss:0.727910+0.011273
## [88] train-mlogloss:0.029190+0.000868 test-mlogloss:0.729243+0.011419
## [89] train-mlogloss:0.028869+0.000773 test-mlogloss:0.730583+0.011125
## [90] train-mlogloss:0.028485+0.000783 test-mlogloss:0.731802+0.011091
## [91] train-mlogloss:0.028163+0.000749 test-mlogloss:0.733262+0.011382
## [92] train-mlogloss:0.027829+0.000743 test-mlogloss:0.734484+0.011134
## [93] train-mlogloss:0.027529+0.000755 test-mlogloss:0.735377+0.011438
## [94] train-mlogloss:0.027222+0.000682 test-mlogloss:0.736640+0.011277
## [95] train-mlogloss:0.026986+0.000607 test-mlogloss:0.737587+0.011210
## [96] train-mlogloss:0.026675+0.000611 test-mlogloss:0.738711+0.011414
## [97] train-mlogloss:0.026395+0.000615 test-mlogloss:0.739955+0.011496
## [98] train-mlogloss:0.026149+0.000549 test-mlogloss:0.740660+0.011589
## [99] train-mlogloss:0.025866+0.000513 test-mlogloss:0.741818+0.011272
## [100] train-mlogloss:0.025588+0.000475 test-mlogloss:0.743139+0.011588
## [101] train-mlogloss:0.025309+0.000462 test-mlogloss:0.744212+0.011455
## [102] train-mlogloss:0.025093+0.000484 test-mlogloss:0.745378+0.011562
## [103] train-mlogloss:0.024780+0.000466 test-mlogloss:0.747154+0.011437
## [104] train-mlogloss:0.024544+0.000425 test-mlogloss:0.748054+0.011361
## [105] train-mlogloss:0.024289+0.000357 test-mlogloss:0.749849+0.011711
## [106] train-mlogloss:0.024040+0.000382 test-mlogloss:0.751194+0.011746
## [107] train-mlogloss:0.023806+0.000392 test-mlogloss:0.752300+0.011591
## [108] train-mlogloss:0.023573+0.000395 test-mlogloss:0.753193+0.011806
## [109] train-mlogloss:0.023365+0.000437 test-mlogloss:0.754610+0.012468
## [110] train-mlogloss:0.023118+0.000410 test-mlogloss:0.755690+0.012421
## [111] train-mlogloss:0.022912+0.000423 test-mlogloss:0.756511+0.012340
## [112] train-mlogloss:0.022708+0.000442 test-mlogloss:0.757489+0.012272
## [113] train-mlogloss:0.022485+0.000419 test-mlogloss:0.758574+0.012279
## [114] train-mlogloss:0.022314+0.000447 test-mlogloss:0.759367+0.012323
## [115] train-mlogloss:0.022139+0.000469 test-mlogloss:0.760482+0.012372
## [116] train-mlogloss:0.021940+0.000445 test-mlogloss:0.761335+0.012700
## [117] train-mlogloss:0.021735+0.000438 test-mlogloss:0.762641+0.012657
## [118] train-mlogloss:0.021542+0.000432 test-mlogloss:0.763589+0.012669
## [119] train-mlogloss:0.021394+0.000407 test-mlogloss:0.764346+0.012888
## [120] train-mlogloss:0.021233+0.000403 test-mlogloss:0.764995+0.013007
## [121] train-mlogloss:0.021060+0.000372 test-mlogloss:0.765825+0.013053
## [122] train-mlogloss:0.020898+0.000336 test-mlogloss:0.766667+0.013529
## [123] train-mlogloss:0.020714+0.000317 test-mlogloss:0.767432+0.013410
## [124] train-mlogloss:0.020550+0.000347 test-mlogloss:0.768153+0.013791
## [125] train-mlogloss:0.020385+0.000340 test-mlogloss:0.769455+0.014103
## [126] train-mlogloss:0.020212+0.000338 test-mlogloss:0.770176+0.014171
## [127] train-mlogloss:0.020057+0.000357 test-mlogloss:0.771040+0.014321
## [128] train-mlogloss:0.019900+0.000330 test-mlogloss:0.772141+0.014310
## [129] train-mlogloss:0.019725+0.000320 test-mlogloss:0.772977+0.014107
## [130] train-mlogloss:0.019557+0.000301 test-mlogloss:0.773978+0.014076
## [131] train-mlogloss:0.019400+0.000295 test-mlogloss:0.774774+0.014085
## [132] train-mlogloss:0.019265+0.000300 test-mlogloss:0.776127+0.014075
## [133] train-mlogloss:0.019125+0.000316 test-mlogloss:0.776876+0.014159
## [134] train-mlogloss:0.018997+0.000326 test-mlogloss:0.777894+0.014023
## [135] train-mlogloss:0.018832+0.000315 test-mlogloss:0.778903+0.013995
## [136] train-mlogloss:0.018675+0.000299 test-mlogloss:0.779835+0.014072
## [137] train-mlogloss:0.018522+0.000299 test-mlogloss:0.780946+0.014191
## [138] train-mlogloss:0.018395+0.000306 test-mlogloss:0.781758+0.014316
## [139] train-mlogloss:0.018261+0.000301 test-mlogloss:0.782699+0.014355
## [140] train-mlogloss:0.018140+0.000298 test-mlogloss:0.783777+0.014375
## [141] train-mlogloss:0.017986+0.000287 test-mlogloss:0.784957+0.014302
## [142] train-mlogloss:0.017853+0.000293 test-mlogloss:0.786059+0.014435
## [143] train-mlogloss:0.017735+0.000275 test-mlogloss:0.787149+0.014223
## [144] train-mlogloss:0.017627+0.000270 test-mlogloss:0.788104+0.014207
## [145] train-mlogloss:0.017527+0.000255 test-mlogloss:0.788741+0.014161
## [146] train-mlogloss:0.017399+0.000253 test-mlogloss:0.789747+0.014012
## [147] train-mlogloss:0.017284+0.000245 test-mlogloss:0.790646+0.014077
## [148] train-mlogloss:0.017167+0.000241 test-mlogloss:0.791596+0.013770
## [149] train-mlogloss:0.017043+0.000230 test-mlogloss:0.792368+0.013709
## [150] train-mlogloss:0.016926+0.000222 test-mlogloss:0.793259+0.013884
## [151] train-mlogloss:0.016818+0.000210 test-mlogloss:0.794309+0.013681
## [152] train-mlogloss:0.016705+0.000209 test-mlogloss:0.795201+0.013972
## [153] train-mlogloss:0.016611+0.000224 test-mlogloss:0.796061+0.013927
## [154] train-mlogloss:0.016491+0.000205 test-mlogloss:0.797056+0.013873
## [155] train-mlogloss:0.016383+0.000208 test-mlogloss:0.798007+0.013994
## [156] train-mlogloss:0.016290+0.000207 test-mlogloss:0.798817+0.013716
## [157] train-mlogloss:0.016189+0.000217 test-mlogloss:0.799750+0.013842
## [158] train-mlogloss:0.016088+0.000213 test-mlogloss:0.800385+0.014047
## [159] train-mlogloss:0.015986+0.000226 test-mlogloss:0.801054+0.013917
## [160] train-mlogloss:0.015888+0.000215 test-mlogloss:0.802083+0.013784
## [161] train-mlogloss:0.015797+0.000221 test-mlogloss:0.802803+0.014047
## [162] train-mlogloss:0.015709+0.000216 test-mlogloss:0.803310+0.014176
## [163] train-mlogloss:0.015611+0.000214 test-mlogloss:0.803829+0.014297
## [164] train-mlogloss:0.015523+0.000214 test-mlogloss:0.804839+0.014455
## [165] train-mlogloss:0.015436+0.000218 test-mlogloss:0.805677+0.014397
## [166] train-mlogloss:0.015334+0.000220 test-mlogloss:0.806729+0.014540
## [167] train-mlogloss:0.015245+0.000217 test-mlogloss:0.807496+0.014547
## [168] train-mlogloss:0.015151+0.000214 test-mlogloss:0.808458+0.014806
## [169] train-mlogloss:0.015060+0.000212 test-mlogloss:0.809109+0.015003
## [170] train-mlogloss:0.014978+0.000204 test-mlogloss:0.809898+0.014896
## [171] train-mlogloss:0.014890+0.000199 test-mlogloss:0.810708+0.014995
## [172] train-mlogloss:0.014803+0.000200 test-mlogloss:0.811519+0.015052
## [173] train-mlogloss:0.014728+0.000205 test-mlogloss:0.812254+0.015200
## [174] train-mlogloss:0.014648+0.000213 test-mlogloss:0.812820+0.015179
## [175] train-mlogloss:0.014570+0.000212 test-mlogloss:0.813484+0.015318
## [176] train-mlogloss:0.014491+0.000209 test-mlogloss:0.814443+0.014907
## [177] train-mlogloss:0.014416+0.000217 test-mlogloss:0.815213+0.015008
## [178] train-mlogloss:0.014338+0.000214 test-mlogloss:0.815913+0.014962
## [179] train-mlogloss:0.014258+0.000217 test-mlogloss:0.816679+0.015251
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## [181] train-mlogloss:0.014110+0.000215 test-mlogloss:0.817943+0.015413
## [182] train-mlogloss:0.014033+0.000220 test-mlogloss:0.818595+0.015483
## [183] train-mlogloss:0.013955+0.000229 test-mlogloss:0.819066+0.015634
## [184] train-mlogloss:0.013879+0.000228 test-mlogloss:0.819844+0.015792
## [185] train-mlogloss:0.013805+0.000225 test-mlogloss:0.820967+0.015727
## [186] train-mlogloss:0.013736+0.000226 test-mlogloss:0.821563+0.015718
## [187] train-mlogloss:0.013670+0.000218 test-mlogloss:0.822105+0.015851
## [188] train-mlogloss:0.013609+0.000221 test-mlogloss:0.823042+0.016111
## [189] train-mlogloss:0.013540+0.000221 test-mlogloss:0.823790+0.015830
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## [192] train-mlogloss:0.013332+0.000216 test-mlogloss:0.825539+0.016087
## [193] train-mlogloss:0.013262+0.000213 test-mlogloss:0.826563+0.016148
## [194] train-mlogloss:0.013195+0.000203 test-mlogloss:0.827313+0.016197
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## [196] train-mlogloss:0.013062+0.000205 test-mlogloss:0.828577+0.016461
## [197] train-mlogloss:0.013002+0.000200 test-mlogloss:0.829242+0.016486
## [198] train-mlogloss:0.012941+0.000190 test-mlogloss:0.829701+0.016025
## [199] train-mlogloss:0.012882+0.000190 test-mlogloss:0.830279+0.016006
## [200] train-mlogloss:0.012823+0.000191 test-mlogloss:0.830748+0.015955
## [201] train-mlogloss:0.012758+0.000187 test-mlogloss:0.831466+0.016107
## [202] train-mlogloss:0.012702+0.000186 test-mlogloss:0.831768+0.016030
## [203] train-mlogloss:0.012643+0.000182 test-mlogloss:0.832300+0.015956
## [204] train-mlogloss:0.012586+0.000180 test-mlogloss:0.832739+0.016008
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## [206] train-mlogloss:0.012474+0.000180 test-mlogloss:0.834077+0.016045
## [207] train-mlogloss:0.012419+0.000177 test-mlogloss:0.834828+0.016138
## [208] train-mlogloss:0.012364+0.000174 test-mlogloss:0.835624+0.016243
## [209] train-mlogloss:0.012304+0.000167 test-mlogloss:0.836147+0.016438
## [210] train-mlogloss:0.012250+0.000163 test-mlogloss:0.836791+0.016516
## [211] train-mlogloss:0.012198+0.000160 test-mlogloss:0.837557+0.016730
## [212] train-mlogloss:0.012145+0.000156 test-mlogloss:0.838223+0.016821
## [213] train-mlogloss:0.012096+0.000157 test-mlogloss:0.838751+0.017221
## [214] train-mlogloss:0.012048+0.000158 test-mlogloss:0.839264+0.017254
## [215] train-mlogloss:0.011993+0.000157 test-mlogloss:0.840044+0.017298
## [216] train-mlogloss:0.011943+0.000156 test-mlogloss:0.840506+0.017235
## [217] train-mlogloss:0.011889+0.000148 test-mlogloss:0.841016+0.017226
## [218] train-mlogloss:0.011833+0.000146 test-mlogloss:0.841893+0.016933
## [219] train-mlogloss:0.011782+0.000143 test-mlogloss:0.842325+0.016909
## [220] train-mlogloss:0.011732+0.000141 test-mlogloss:0.843114+0.017004
## [221] train-mlogloss:0.011687+0.000147 test-mlogloss:0.843725+0.017153
## [222] train-mlogloss:0.011638+0.000144 test-mlogloss:0.844294+0.017069
## [223] train-mlogloss:0.011595+0.000138 test-mlogloss:0.844779+0.017001
## [224] train-mlogloss:0.011548+0.000134 test-mlogloss:0.845134+0.016951
## [225] train-mlogloss:0.011507+0.000131 test-mlogloss:0.845658+0.016844
## [226] train-mlogloss:0.011460+0.000130 test-mlogloss:0.845925+0.016839
## [227] train-mlogloss:0.011415+0.000129 test-mlogloss:0.846514+0.016904
## [228] train-mlogloss:0.011371+0.000129 test-mlogloss:0.847359+0.016944
## [229] train-mlogloss:0.011328+0.000125 test-mlogloss:0.847744+0.017133
## [230] train-mlogloss:0.011282+0.000121 test-mlogloss:0.848532+0.017282
## [231] train-mlogloss:0.011240+0.000120 test-mlogloss:0.849015+0.017584
## [232] train-mlogloss:0.011198+0.000118 test-mlogloss:0.849631+0.017305
## [233] train-mlogloss:0.011156+0.000111 test-mlogloss:0.850400+0.017397
## [234] train-mlogloss:0.011115+0.000110 test-mlogloss:0.850836+0.017285
## [235] train-mlogloss:0.011070+0.000109 test-mlogloss:0.851239+0.017096
## [236] train-mlogloss:0.011031+0.000101 test-mlogloss:0.851843+0.016992
## [237] train-mlogloss:0.010990+0.000097 test-mlogloss:0.852326+0.017042
## [238] train-mlogloss:0.010949+0.000096 test-mlogloss:0.852881+0.017029
## [239] train-mlogloss:0.010907+0.000095 test-mlogloss:0.853643+0.016977
## [240] train-mlogloss:0.010865+0.000090 test-mlogloss:0.854249+0.017104
## [241] train-mlogloss:0.010824+0.000089 test-mlogloss:0.854509+0.016922
## [242] train-mlogloss:0.010784+0.000090 test-mlogloss:0.854882+0.016777
## [243] train-mlogloss:0.010748+0.000091 test-mlogloss:0.855229+0.016315
## [244] train-mlogloss:0.010711+0.000088 test-mlogloss:0.855594+0.016184
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## [247] train-mlogloss:0.010594+0.000087 test-mlogloss:0.857243+0.015969
## [248] train-mlogloss:0.010556+0.000087 test-mlogloss:0.857850+0.015850
## [249] train-mlogloss:0.010517+0.000085 test-mlogloss:0.858169+0.015714
## [250] train-mlogloss:0.010477+0.000084 test-mlogloss:0.859110+0.015843
## [251] train-mlogloss:0.010439+0.000083 test-mlogloss:0.859500+0.015637
## [252] train-mlogloss:0.010406+0.000081 test-mlogloss:0.859769+0.015713
## [253] train-mlogloss:0.010368+0.000079 test-mlogloss:0.860290+0.015950
## [254] train-mlogloss:0.010330+0.000077 test-mlogloss:0.860886+0.015874
## [255] train-mlogloss:0.010294+0.000078 test-mlogloss:0.861452+0.015784
## [256] train-mlogloss:0.010261+0.000077 test-mlogloss:0.862032+0.015928
## [257] train-mlogloss:0.010225+0.000078 test-mlogloss:0.862500+0.015886
## [258] train-mlogloss:0.010190+0.000077 test-mlogloss:0.862939+0.016123
## [259] train-mlogloss:0.010154+0.000079 test-mlogloss:0.863360+0.016170
## [260] train-mlogloss:0.010119+0.000081 test-mlogloss:0.863877+0.016243
## [261] train-mlogloss:0.010082+0.000085 test-mlogloss:0.864357+0.016429
## [262] train-mlogloss:0.010051+0.000085 test-mlogloss:0.864912+0.016534
## [263] train-mlogloss:0.010020+0.000085 test-mlogloss:0.865572+0.016651
## [264] train-mlogloss:0.009988+0.000085 test-mlogloss:0.865956+0.016783
## [265] train-mlogloss:0.009956+0.000084 test-mlogloss:0.866544+0.016742
## [266] train-mlogloss:0.009925+0.000085 test-mlogloss:0.866958+0.016882
## [267] train-mlogloss:0.009892+0.000085 test-mlogloss:0.867634+0.016745
## [268] train-mlogloss:0.009862+0.000082 test-mlogloss:0.868072+0.016792
## [269] train-mlogloss:0.009830+0.000081 test-mlogloss:0.868576+0.016719
## [270] train-mlogloss:0.009800+0.000082 test-mlogloss:0.868965+0.016848
## [271] train-mlogloss:0.009770+0.000083 test-mlogloss:0.869471+0.016851
## [272] train-mlogloss:0.009739+0.000081 test-mlogloss:0.869974+0.016788
## [273] train-mlogloss:0.009708+0.000081 test-mlogloss:0.870342+0.016756
## [274] train-mlogloss:0.009680+0.000083 test-mlogloss:0.870603+0.016738
## [275] train-mlogloss:0.009648+0.000083 test-mlogloss:0.871167+0.016514
## [276] train-mlogloss:0.009619+0.000080 test-mlogloss:0.871440+0.016642
## [277] train-mlogloss:0.009589+0.000080 test-mlogloss:0.872018+0.016650
## [278] train-mlogloss:0.009560+0.000079 test-mlogloss:0.872547+0.016809
## [279] train-mlogloss:0.009533+0.000077 test-mlogloss:0.873024+0.016999
## [280] train-mlogloss:0.009505+0.000074 test-mlogloss:0.873319+0.017223
## [281] train-mlogloss:0.009477+0.000074 test-mlogloss:0.873523+0.017067
## [282] train-mlogloss:0.009449+0.000075 test-mlogloss:0.873947+0.017110
## [283] train-mlogloss:0.009420+0.000075 test-mlogloss:0.874218+0.017249
## [284] train-mlogloss:0.009394+0.000073 test-mlogloss:0.874702+0.017280
## [285] train-mlogloss:0.009366+0.000073 test-mlogloss:0.874917+0.017375
## [286] train-mlogloss:0.009338+0.000072 test-mlogloss:0.875236+0.017557
## [287] train-mlogloss:0.009309+0.000072 test-mlogloss:0.875587+0.017336
## [288] train-mlogloss:0.009283+0.000073 test-mlogloss:0.875952+0.017242
## [289] train-mlogloss:0.009256+0.000072 test-mlogloss:0.876595+0.017346
## [290] train-mlogloss:0.009231+0.000070 test-mlogloss:0.877066+0.017472
## [291] train-mlogloss:0.009202+0.000068 test-mlogloss:0.877664+0.017332
## [292] train-mlogloss:0.009178+0.000066 test-mlogloss:0.878105+0.017430
## [293] train-mlogloss:0.009151+0.000066 test-mlogloss:0.878329+0.017513
## [294] train-mlogloss:0.009123+0.000066 test-mlogloss:0.878533+0.017409
## [295] train-mlogloss:0.009098+0.000066 test-mlogloss:0.879114+0.017677
## [296] train-mlogloss:0.009073+0.000066 test-mlogloss:0.879415+0.017811
## [297] train-mlogloss:0.009046+0.000064 test-mlogloss:0.879598+0.017860
## [298] train-mlogloss:0.009022+0.000062 test-mlogloss:0.880109+0.017989
## [299] train-mlogloss:0.008997+0.000064 test-mlogloss:0.880697+0.017999
## [300] train-mlogloss:0.008971+0.000066 test-mlogloss:0.881238+0.018125
## [301] train-mlogloss:0.008947+0.000064 test-mlogloss:0.881678+0.018194
## [302] train-mlogloss:0.008923+0.000064 test-mlogloss:0.882141+0.018059
## [303] train-mlogloss:0.008899+0.000065 test-mlogloss:0.882531+0.018212
## [304] train-mlogloss:0.008876+0.000064 test-mlogloss:0.882918+0.018147
## [305] train-mlogloss:0.008853+0.000066 test-mlogloss:0.883348+0.018157
## [306] train-mlogloss:0.008831+0.000065 test-mlogloss:0.883958+0.018241
## [307] train-mlogloss:0.008809+0.000066 test-mlogloss:0.884317+0.018144
## [308] train-mlogloss:0.008787+0.000065 test-mlogloss:0.884769+0.018070
## [309] train-mlogloss:0.008763+0.000065 test-mlogloss:0.885305+0.018139
## [310] train-mlogloss:0.008741+0.000065 test-mlogloss:0.885751+0.018235
## [311] train-mlogloss:0.008716+0.000064 test-mlogloss:0.886007+0.018289
## [312] train-mlogloss:0.008693+0.000064 test-mlogloss:0.886695+0.017802
## [313] train-mlogloss:0.008671+0.000063 test-mlogloss:0.887011+0.017795
## [314] train-mlogloss:0.008650+0.000063 test-mlogloss:0.887396+0.017715
## [315] train-mlogloss:0.008628+0.000060 test-mlogloss:0.887780+0.017580
## [316] train-mlogloss:0.008605+0.000057 test-mlogloss:0.888172+0.017705
## [317] train-mlogloss:0.008584+0.000056 test-mlogloss:0.888238+0.017889
## [318] train-mlogloss:0.008563+0.000057 test-mlogloss:0.888721+0.018047
## [319] train-mlogloss:0.008541+0.000057 test-mlogloss:0.889295+0.018051
## [320] train-mlogloss:0.008519+0.000057 test-mlogloss:0.889460+0.018073
## [321] train-mlogloss:0.008498+0.000058 test-mlogloss:0.889970+0.018026
## [322] train-mlogloss:0.008477+0.000056 test-mlogloss:0.890225+0.018073
## [323] train-mlogloss:0.008457+0.000056 test-mlogloss:0.890751+0.018062
## [324] train-mlogloss:0.008436+0.000056 test-mlogloss:0.891116+0.018007
## [325] train-mlogloss:0.008415+0.000055 test-mlogloss:0.891342+0.018140
## [326] train-mlogloss:0.008395+0.000056 test-mlogloss:0.891893+0.018395
## [327] train-mlogloss:0.008373+0.000056 test-mlogloss:0.892277+0.018405
## [328] train-mlogloss:0.008351+0.000056 test-mlogloss:0.892440+0.018372
## [329] train-mlogloss:0.008331+0.000055 test-mlogloss:0.892846+0.018358
## [330] train-mlogloss:0.008312+0.000053 test-mlogloss:0.893067+0.018380
## [331] train-mlogloss:0.008293+0.000052 test-mlogloss:0.893434+0.018406
## [332] train-mlogloss:0.008273+0.000051 test-mlogloss:0.893703+0.018411
## [333] train-mlogloss:0.008254+0.000051 test-mlogloss:0.894152+0.018254
## [334] train-mlogloss:0.008235+0.000050 test-mlogloss:0.894449+0.018080
## [335] train-mlogloss:0.008214+0.000048 test-mlogloss:0.895016+0.018171
## [336] train-mlogloss:0.008195+0.000049 test-mlogloss:0.895372+0.018451
## [337] train-mlogloss:0.008175+0.000047 test-mlogloss:0.895575+0.018635
## [338] train-mlogloss:0.008157+0.000047 test-mlogloss:0.895893+0.018770
## [339] train-mlogloss:0.008139+0.000048 test-mlogloss:0.896644+0.018746
## [340] train-mlogloss:0.008121+0.000047 test-mlogloss:0.896959+0.018745
## [341] train-mlogloss:0.008102+0.000046 test-mlogloss:0.897350+0.018516
## [342] train-mlogloss:0.008084+0.000045 test-mlogloss:0.897614+0.018633
## [343] train-mlogloss:0.008065+0.000045 test-mlogloss:0.897966+0.018801
## [344] train-mlogloss:0.008048+0.000043 test-mlogloss:0.898408+0.018693
## [345] train-mlogloss:0.008030+0.000043 test-mlogloss:0.898787+0.018613
## [346] train-mlogloss:0.008014+0.000043 test-mlogloss:0.899072+0.018766
## [347] train-mlogloss:0.007996+0.000043 test-mlogloss:0.899277+0.018817
## [348] train-mlogloss:0.007978+0.000045 test-mlogloss:0.899616+0.018834
## [349] train-mlogloss:0.007960+0.000045 test-mlogloss:0.899780+0.018907
## [350] train-mlogloss:0.007944+0.000047 test-mlogloss:0.900194+0.018847
## [351] train-mlogloss:0.007926+0.000048 test-mlogloss:0.900597+0.018748
## [352] train-mlogloss:0.007908+0.000048 test-mlogloss:0.901196+0.018726
## [353] train-mlogloss:0.007891+0.000048 test-mlogloss:0.901362+0.018639
## [354] train-mlogloss:0.007874+0.000049 test-mlogloss:0.901881+0.018696
## [355] train-mlogloss:0.007855+0.000048 test-mlogloss:0.902326+0.018693
## [356] train-mlogloss:0.007838+0.000049 test-mlogloss:0.902721+0.018875
## [357] train-mlogloss:0.007821+0.000048 test-mlogloss:0.903132+0.018978
## [358] train-mlogloss:0.007803+0.000048 test-mlogloss:0.903394+0.018930
## [359] train-mlogloss:0.007786+0.000047 test-mlogloss:0.903576+0.018799
## [360] train-mlogloss:0.007770+0.000046 test-mlogloss:0.903883+0.018869
## [361] train-mlogloss:0.007754+0.000046 test-mlogloss:0.904312+0.018824
## [362] train-mlogloss:0.007736+0.000047 test-mlogloss:0.904563+0.018937
## [363] train-mlogloss:0.007719+0.000046 test-mlogloss:0.904921+0.018988
## [364] train-mlogloss:0.007704+0.000047 test-mlogloss:0.905320+0.019098
## [365] train-mlogloss:0.007689+0.000047 test-mlogloss:0.905561+0.019080
## [366] train-mlogloss:0.007672+0.000048 test-mlogloss:0.905788+0.019049
## [367] train-mlogloss:0.007657+0.000048 test-mlogloss:0.906158+0.019120
## [368] train-mlogloss:0.007642+0.000048 test-mlogloss:0.906638+0.019200
## [369] train-mlogloss:0.007626+0.000048 test-mlogloss:0.906989+0.019147
## [370] train-mlogloss:0.007608+0.000047 test-mlogloss:0.907228+0.019191
## [371] train-mlogloss:0.007593+0.000048 test-mlogloss:0.907542+0.019193
## [372] train-mlogloss:0.007576+0.000049 test-mlogloss:0.907658+0.018937
## [373] train-mlogloss:0.007560+0.000048 test-mlogloss:0.908062+0.019103
## [374] train-mlogloss:0.007544+0.000049 test-mlogloss:0.908364+0.019117
## [375] train-mlogloss:0.007528+0.000049 test-mlogloss:0.908773+0.019029
## [376] train-mlogloss:0.007512+0.000048 test-mlogloss:0.909166+0.019151
## [377] train-mlogloss:0.007497+0.000049 test-mlogloss:0.909395+0.019058
## [378] train-mlogloss:0.007483+0.000049 test-mlogloss:0.909653+0.019160
## [379] train-mlogloss:0.007468+0.000049 test-mlogloss:0.910053+0.019273
## [380] train-mlogloss:0.007452+0.000048 test-mlogloss:0.910446+0.019161
## [381] train-mlogloss:0.007438+0.000047 test-mlogloss:0.910576+0.018925
## [382] train-mlogloss:0.007424+0.000047 test-mlogloss:0.911048+0.018958
## [383] train-mlogloss:0.007410+0.000048 test-mlogloss:0.911183+0.019108
## [384] train-mlogloss:0.007396+0.000047 test-mlogloss:0.911279+0.019082
## [385] train-mlogloss:0.007381+0.000047 test-mlogloss:0.911562+0.019140
## [386] train-mlogloss:0.007367+0.000047 test-mlogloss:0.911943+0.019379
## [387] train-mlogloss:0.007353+0.000046 test-mlogloss:0.912140+0.019317
## [388] train-mlogloss:0.007339+0.000046 test-mlogloss:0.912248+0.019457
## [389] train-mlogloss:0.007325+0.000046 test-mlogloss:0.912496+0.019194
## [390] train-mlogloss:0.007310+0.000046 test-mlogloss:0.912741+0.019265
## [391] train-mlogloss:0.007296+0.000046 test-mlogloss:0.913054+0.019510
## [392] train-mlogloss:0.007282+0.000047 test-mlogloss:0.913494+0.019489
## [393] train-mlogloss:0.007268+0.000047 test-mlogloss:0.914059+0.019473
## [394] train-mlogloss:0.007255+0.000046 test-mlogloss:0.914557+0.019625
## [395] train-mlogloss:0.007241+0.000046 test-mlogloss:0.915152+0.019582
## [396] train-mlogloss:0.007227+0.000045 test-mlogloss:0.915586+0.019616
## [397] train-mlogloss:0.007213+0.000045 test-mlogloss:0.916042+0.019503
## [398] train-mlogloss:0.007200+0.000044 test-mlogloss:0.916088+0.019511
## [399] train-mlogloss:0.007185+0.000044 test-mlogloss:0.916162+0.019585
## [400] train-mlogloss:0.007171+0.000044 test-mlogloss:0.916352+0.019485
## [401] train-mlogloss:0.007158+0.000044 test-mlogloss:0.916728+0.019639
## [402] train-mlogloss:0.007145+0.000045 test-mlogloss:0.916962+0.019591
## [403] train-mlogloss:0.007132+0.000044 test-mlogloss:0.917236+0.019601
## [404] train-mlogloss:0.007119+0.000043 test-mlogloss:0.917393+0.019516
## [405] train-mlogloss:0.007106+0.000042 test-mlogloss:0.917216+0.019383
## [406] train-mlogloss:0.007093+0.000041 test-mlogloss:0.917426+0.019338
## [407] train-mlogloss:0.007081+0.000042 test-mlogloss:0.917668+0.019372
## [408] train-mlogloss:0.007068+0.000041 test-mlogloss:0.917814+0.019440
## [409] train-mlogloss:0.007056+0.000042 test-mlogloss:0.918143+0.019381
## [410] train-mlogloss:0.007043+0.000043 test-mlogloss:0.918301+0.019601
## [411] train-mlogloss:0.007030+0.000043 test-mlogloss:0.918548+0.019527
## [412] train-mlogloss:0.007019+0.000042 test-mlogloss:0.918771+0.019505
## [413] train-mlogloss:0.007007+0.000041 test-mlogloss:0.919049+0.019456
## [414] train-mlogloss:0.006994+0.000042 test-mlogloss:0.919497+0.019606
## [415] train-mlogloss:0.006981+0.000041 test-mlogloss:0.919952+0.019758
## [416] train-mlogloss:0.006968+0.000042 test-mlogloss:0.920051+0.019776
## [417] train-mlogloss:0.006955+0.000042 test-mlogloss:0.920308+0.019695
## [418] train-mlogloss:0.006944+0.000041 test-mlogloss:0.920587+0.019744
## [419] train-mlogloss:0.006931+0.000041 test-mlogloss:0.921055+0.019799
## [420] train-mlogloss:0.006919+0.000042 test-mlogloss:0.921248+0.019857
## [421] train-mlogloss:0.006907+0.000040 test-mlogloss:0.921489+0.019809
## [422] train-mlogloss:0.006894+0.000040 test-mlogloss:0.921750+0.020173
## [423] train-mlogloss:0.006882+0.000041 test-mlogloss:0.921958+0.020131
## [424] train-mlogloss:0.006870+0.000040 test-mlogloss:0.922007+0.020168
## [425] train-mlogloss:0.006859+0.000041 test-mlogloss:0.922257+0.020254
## [426] train-mlogloss:0.006847+0.000041 test-mlogloss:0.922418+0.020334
## [427] train-mlogloss:0.006836+0.000041 test-mlogloss:0.922789+0.020215
## [428] train-mlogloss:0.006824+0.000042 test-mlogloss:0.923252+0.020251
## [429] train-mlogloss:0.006812+0.000041 test-mlogloss:0.923603+0.020194
## [430] train-mlogloss:0.006800+0.000042 test-mlogloss:0.923830+0.019974
## [431] train-mlogloss:0.006789+0.000041 test-mlogloss:0.924188+0.019843
## [432] train-mlogloss:0.006778+0.000042 test-mlogloss:0.924424+0.019839
## [433] train-mlogloss:0.006766+0.000043 test-mlogloss:0.924636+0.019973
## [434] train-mlogloss:0.006754+0.000042 test-mlogloss:0.924891+0.019862
## [435] train-mlogloss:0.006742+0.000042 test-mlogloss:0.925217+0.019761
## [436] train-mlogloss:0.006730+0.000041 test-mlogloss:0.925510+0.019895
## [437] train-mlogloss:0.006719+0.000040 test-mlogloss:0.925725+0.019953
## [438] train-mlogloss:0.006709+0.000041 test-mlogloss:0.926029+0.020043
## [439] train-mlogloss:0.006698+0.000041 test-mlogloss:0.926383+0.019992
## [440] train-mlogloss:0.006686+0.000041 test-mlogloss:0.926799+0.020098
## [441] train-mlogloss:0.006675+0.000040 test-mlogloss:0.927117+0.020169
## [442] train-mlogloss:0.006664+0.000041 test-mlogloss:0.927458+0.020248
## [443] train-mlogloss:0.006653+0.000042 test-mlogloss:0.927617+0.020262
## [444] train-mlogloss:0.006643+0.000041 test-mlogloss:0.927922+0.020204
## [445] train-mlogloss:0.006631+0.000039 test-mlogloss:0.928270+0.019988
## [446] train-mlogloss:0.006621+0.000039 test-mlogloss:0.928388+0.019980
## [447] train-mlogloss:0.006611+0.000038 test-mlogloss:0.928540+0.019968
## [448] train-mlogloss:0.006601+0.000038 test-mlogloss:0.928805+0.019895
## [449] train-mlogloss:0.006590+0.000037 test-mlogloss:0.929002+0.019840
## [450] train-mlogloss:0.006579+0.000036 test-mlogloss:0.929412+0.019791
## [451] train-mlogloss:0.006568+0.000036 test-mlogloss:0.929854+0.019824
## [452] train-mlogloss:0.006558+0.000036 test-mlogloss:0.929909+0.019694
## [453] train-mlogloss:0.006547+0.000035 test-mlogloss:0.930139+0.019781
## [454] train-mlogloss:0.006537+0.000033 test-mlogloss:0.930445+0.019712
## [455] train-mlogloss:0.006526+0.000033 test-mlogloss:0.930832+0.019676
## [456] train-mlogloss:0.006517+0.000034 test-mlogloss:0.931164+0.019609
## [457] train-mlogloss:0.006506+0.000033 test-mlogloss:0.931417+0.019483
## [458] train-mlogloss:0.006497+0.000031 test-mlogloss:0.931533+0.019546
## [459] train-mlogloss:0.006486+0.000032 test-mlogloss:0.931624+0.019649
## [460] train-mlogloss:0.006477+0.000032 test-mlogloss:0.931961+0.019869
## [461] train-mlogloss:0.006466+0.000033 test-mlogloss:0.932289+0.019863
## [462] train-mlogloss:0.006456+0.000033 test-mlogloss:0.932390+0.020055
## [463] train-mlogloss:0.006445+0.000032 test-mlogloss:0.932702+0.019929
## [464] train-mlogloss:0.006435+0.000033 test-mlogloss:0.933065+0.019888
## [465] train-mlogloss:0.006425+0.000032 test-mlogloss:0.933319+0.019808
## [466] train-mlogloss:0.006414+0.000032 test-mlogloss:0.933645+0.019785
## [467] train-mlogloss:0.006404+0.000032 test-mlogloss:0.933925+0.019839
## [468] train-mlogloss:0.006394+0.000031 test-mlogloss:0.934143+0.019797
## [469] train-mlogloss:0.006384+0.000032 test-mlogloss:0.934564+0.019742
## [470] train-mlogloss:0.006374+0.000032 test-mlogloss:0.934583+0.019763
## [471] train-mlogloss:0.006366+0.000032 test-mlogloss:0.935001+0.019839
## [472] train-mlogloss:0.006357+0.000031 test-mlogloss:0.935132+0.019755
## [473] train-mlogloss:0.006348+0.000032 test-mlogloss:0.935331+0.019848
## [474] train-mlogloss:0.006338+0.000032 test-mlogloss:0.935602+0.020111
## [475] train-mlogloss:0.006328+0.000031 test-mlogloss:0.935799+0.020054
## [476] train-mlogloss:0.006319+0.000031 test-mlogloss:0.936022+0.020015
## [477] train-mlogloss:0.006310+0.000030 test-mlogloss:0.936443+0.019964
## [478] train-mlogloss:0.006300+0.000030 test-mlogloss:0.936699+0.020033
## [479] train-mlogloss:0.006291+0.000030 test-mlogloss:0.936843+0.020096
## [480] train-mlogloss:0.006280+0.000029 test-mlogloss:0.937009+0.020013
## [481] train-mlogloss:0.006271+0.000029 test-mlogloss:0.937268+0.019842
## [482] train-mlogloss:0.006261+0.000029 test-mlogloss:0.937257+0.019977
## [483] train-mlogloss:0.006251+0.000030 test-mlogloss:0.937458+0.019955
## [484] train-mlogloss:0.006242+0.000029 test-mlogloss:0.937794+0.020027
## [485] train-mlogloss:0.006234+0.000029 test-mlogloss:0.938054+0.019893
## [486] train-mlogloss:0.006226+0.000028 test-mlogloss:0.938307+0.019957
## [487] train-mlogloss:0.006218+0.000029 test-mlogloss:0.938517+0.019926
## [488] train-mlogloss:0.006208+0.000028 test-mlogloss:0.938507+0.019829
## [489] train-mlogloss:0.006200+0.000028 test-mlogloss:0.938729+0.019716
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## [491] train-mlogloss:0.006182+0.000028 test-mlogloss:0.939278+0.019863
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## [493] train-mlogloss:0.006165+0.000028 test-mlogloss:0.939904+0.019716
## [494] train-mlogloss:0.006157+0.000027 test-mlogloss:0.940152+0.019739
## [495] train-mlogloss:0.006148+0.000027 test-mlogloss:0.940419+0.019792
## [496] train-mlogloss:0.006139+0.000028 test-mlogloss:0.940695+0.019787
## [497] train-mlogloss:0.006130+0.000029 test-mlogloss:0.940911+0.019650
## [498] train-mlogloss:0.006122+0.000029 test-mlogloss:0.941142+0.019564
## [499] train-mlogloss:0.006114+0.000028 test-mlogloss:0.941292+0.019565
## [500] train-mlogloss:0.006104+0.000028 test-mlogloss:0.941406+0.019649
## [1] train-mlogloss:0.538635+0.001260 test-mlogloss:0.557114+0.002497
## [2] train-mlogloss:0.507861+0.001552 test-mlogloss:0.543555+0.003518
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## [4] train-mlogloss:0.486955+0.002900 test-mlogloss:0.542700+0.005087
## [5] train-mlogloss:0.481034+0.003229 test-mlogloss:0.543422+0.004194
## [6] train-mlogloss:0.476207+0.002394 test-mlogloss:0.544051+0.004599
## [7] train-mlogloss:0.471218+0.004547 test-mlogloss:0.545501+0.005128
## [8] train-mlogloss:0.465390+0.004828 test-mlogloss:0.548269+0.005630
## [9] train-mlogloss:0.458519+0.004610 test-mlogloss:0.549030+0.006473
## [10] train-mlogloss:0.450145+0.005135 test-mlogloss:0.551996+0.006094
## [11] train-mlogloss:0.444037+0.006687 test-mlogloss:0.551845+0.006605
## [12] train-mlogloss:0.438269+0.004435 test-mlogloss:0.553756+0.005767
## [13] train-mlogloss:0.434437+0.004361 test-mlogloss:0.554952+0.006126
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## [15] train-mlogloss:0.422505+0.004931 test-mlogloss:0.559036+0.005625
## [16] train-mlogloss:0.418932+0.004981 test-mlogloss:0.560799+0.004538
## [17] train-mlogloss:0.413744+0.004719 test-mlogloss:0.562963+0.005393
## [18] train-mlogloss:0.408366+0.005053 test-mlogloss:0.566380+0.005390
## [19] train-mlogloss:0.403133+0.006874 test-mlogloss:0.567996+0.005511
## [20] train-mlogloss:0.397218+0.006072 test-mlogloss:0.569869+0.005713
## [21] train-mlogloss:0.391288+0.006635 test-mlogloss:0.572511+0.006843
## [22] train-mlogloss:0.385109+0.007268 test-mlogloss:0.574357+0.007106
## [23] train-mlogloss:0.378696+0.007107 test-mlogloss:0.577420+0.005257
## [24] train-mlogloss:0.372202+0.005875 test-mlogloss:0.579336+0.005589
## [25] train-mlogloss:0.367113+0.007721 test-mlogloss:0.580615+0.005106
## [26] train-mlogloss:0.364113+0.008849 test-mlogloss:0.581558+0.005898
## [27] train-mlogloss:0.360230+0.008339 test-mlogloss:0.582708+0.006181
## [28] train-mlogloss:0.354975+0.008127 test-mlogloss:0.584074+0.006068
## [29] train-mlogloss:0.351675+0.007732 test-mlogloss:0.584764+0.005972
## [30] train-mlogloss:0.347708+0.006659 test-mlogloss:0.586811+0.005679
## [31] train-mlogloss:0.343267+0.006686 test-mlogloss:0.589271+0.006471
## [32] train-mlogloss:0.338758+0.006407 test-mlogloss:0.591078+0.006442
## [33] train-mlogloss:0.334393+0.007309 test-mlogloss:0.592847+0.006642
## [34] train-mlogloss:0.330584+0.007361 test-mlogloss:0.595197+0.007329
## [35] train-mlogloss:0.326479+0.007700 test-mlogloss:0.595800+0.006677
## [36] train-mlogloss:0.323006+0.007519 test-mlogloss:0.597544+0.007521
## [37] train-mlogloss:0.318670+0.006663 test-mlogloss:0.599463+0.007560
## [38] train-mlogloss:0.314341+0.006343 test-mlogloss:0.601163+0.007921
## [39] train-mlogloss:0.311494+0.006053 test-mlogloss:0.602626+0.007111
## [40] train-mlogloss:0.307331+0.006348 test-mlogloss:0.603234+0.007256
## [41] train-mlogloss:0.304298+0.005673 test-mlogloss:0.604664+0.007779
## [42] train-mlogloss:0.300823+0.004503 test-mlogloss:0.606242+0.007591
## [43] train-mlogloss:0.297617+0.005095 test-mlogloss:0.608895+0.008784
## [44] train-mlogloss:0.293509+0.005069 test-mlogloss:0.610027+0.009947
## [45] train-mlogloss:0.289251+0.004805 test-mlogloss:0.612446+0.009806
## [46] train-mlogloss:0.285837+0.005146 test-mlogloss:0.613906+0.009796
## [47] train-mlogloss:0.282616+0.004444 test-mlogloss:0.615832+0.010054
## [48] train-mlogloss:0.279874+0.003285 test-mlogloss:0.617849+0.010208
## [49] train-mlogloss:0.277031+0.002824 test-mlogloss:0.620921+0.008668
## [50] train-mlogloss:0.274230+0.003739 test-mlogloss:0.621416+0.009157
## [51] train-mlogloss:0.270286+0.002955 test-mlogloss:0.622521+0.009917
## [52] train-mlogloss:0.267054+0.003484 test-mlogloss:0.625676+0.009537
## [53] train-mlogloss:0.263649+0.003786 test-mlogloss:0.627521+0.008839
## [54] train-mlogloss:0.260658+0.003579 test-mlogloss:0.629041+0.009118
## [55] train-mlogloss:0.257946+0.003513 test-mlogloss:0.631344+0.009544
## [56] train-mlogloss:0.254837+0.004908 test-mlogloss:0.632728+0.009650
## [57] train-mlogloss:0.252200+0.003704 test-mlogloss:0.633865+0.010075
## [58] train-mlogloss:0.248584+0.004019 test-mlogloss:0.636287+0.011264
## [59] train-mlogloss:0.245832+0.003884 test-mlogloss:0.638138+0.011814
## [60] train-mlogloss:0.243462+0.004973 test-mlogloss:0.638801+0.011748
## [61] train-mlogloss:0.240138+0.005246 test-mlogloss:0.640203+0.011795
## [62] train-mlogloss:0.237095+0.005201 test-mlogloss:0.641924+0.012035
## [63] train-mlogloss:0.234351+0.005257 test-mlogloss:0.643866+0.012071
## [64] train-mlogloss:0.231407+0.005455 test-mlogloss:0.644736+0.012089
## [65] train-mlogloss:0.229688+0.006030 test-mlogloss:0.645282+0.012104
## [66] train-mlogloss:0.228030+0.005546 test-mlogloss:0.646355+0.011901
## [67] train-mlogloss:0.226214+0.005865 test-mlogloss:0.647609+0.010816
## [68] train-mlogloss:0.224024+0.006278 test-mlogloss:0.649410+0.010735
## [69] train-mlogloss:0.221525+0.005609 test-mlogloss:0.651097+0.011702
## [70] train-mlogloss:0.219259+0.005736 test-mlogloss:0.651284+0.012029
## [71] train-mlogloss:0.217070+0.005954 test-mlogloss:0.652287+0.012075
## [72] train-mlogloss:0.213657+0.006730 test-mlogloss:0.654651+0.010914
## [73] train-mlogloss:0.210600+0.007364 test-mlogloss:0.655898+0.011400
## [74] train-mlogloss:0.208662+0.007925 test-mlogloss:0.656706+0.011530
## [75] train-mlogloss:0.206624+0.007888 test-mlogloss:0.658201+0.011820
## [76] train-mlogloss:0.204303+0.007872 test-mlogloss:0.660166+0.012504
## [77] train-mlogloss:0.201223+0.008544 test-mlogloss:0.662840+0.013567
## [78] train-mlogloss:0.199885+0.008729 test-mlogloss:0.662986+0.013422
## [79] train-mlogloss:0.197276+0.007737 test-mlogloss:0.664176+0.013236
## [80] train-mlogloss:0.195609+0.007307 test-mlogloss:0.664257+0.012964
## [81] train-mlogloss:0.193885+0.006546 test-mlogloss:0.665058+0.012931
## [82] train-mlogloss:0.191940+0.006603 test-mlogloss:0.665102+0.012741
## [83] train-mlogloss:0.189263+0.006208 test-mlogloss:0.667338+0.013210
## [84] train-mlogloss:0.186867+0.006471 test-mlogloss:0.669456+0.013689
## [85] train-mlogloss:0.184536+0.005904 test-mlogloss:0.669694+0.013143
## [86] train-mlogloss:0.182073+0.006237 test-mlogloss:0.670744+0.013385
## [87] train-mlogloss:0.179689+0.005749 test-mlogloss:0.671388+0.013987
## [88] train-mlogloss:0.177295+0.005770 test-mlogloss:0.672750+0.013343
## [89] train-mlogloss:0.175240+0.005882 test-mlogloss:0.674233+0.014429
## [90] train-mlogloss:0.173364+0.005852 test-mlogloss:0.676202+0.014895
## [91] train-mlogloss:0.170702+0.005864 test-mlogloss:0.677980+0.014640
## [92] train-mlogloss:0.168827+0.005680 test-mlogloss:0.679110+0.014672
## [93] train-mlogloss:0.167140+0.005507 test-mlogloss:0.680324+0.015444
## [94] train-mlogloss:0.164975+0.006171 test-mlogloss:0.680824+0.015089
## [95] train-mlogloss:0.162883+0.005875 test-mlogloss:0.682317+0.014371
## [96] train-mlogloss:0.160079+0.006136 test-mlogloss:0.684749+0.014005
## [97] train-mlogloss:0.158174+0.005165 test-mlogloss:0.687003+0.013885
## [98] train-mlogloss:0.156307+0.004722 test-mlogloss:0.688553+0.013529
## [99] train-mlogloss:0.153495+0.004753 test-mlogloss:0.691042+0.013124
## [100] train-mlogloss:0.151975+0.004534 test-mlogloss:0.692349+0.013233
## [101] train-mlogloss:0.150814+0.004702 test-mlogloss:0.693438+0.013025
## [102] train-mlogloss:0.148909+0.004167 test-mlogloss:0.695249+0.012093
## [103] train-mlogloss:0.147756+0.004532 test-mlogloss:0.696799+0.012395
## [104] train-mlogloss:0.145961+0.004452 test-mlogloss:0.698817+0.011992
## [105] train-mlogloss:0.143723+0.004651 test-mlogloss:0.701214+0.010555
## [106] train-mlogloss:0.141861+0.004512 test-mlogloss:0.702819+0.011244
## [107] train-mlogloss:0.140704+0.004505 test-mlogloss:0.703775+0.011151
## [108] train-mlogloss:0.139688+0.004549 test-mlogloss:0.704706+0.011389
## [109] train-mlogloss:0.137674+0.004231 test-mlogloss:0.706328+0.011095
## [110] train-mlogloss:0.136386+0.004162 test-mlogloss:0.707579+0.011011
## [111] train-mlogloss:0.135463+0.004157 test-mlogloss:0.708589+0.011205
## [112] train-mlogloss:0.133887+0.004734 test-mlogloss:0.710950+0.011668
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## [114] train-mlogloss:0.131397+0.005048 test-mlogloss:0.712351+0.012826
## [115] train-mlogloss:0.130432+0.004853 test-mlogloss:0.713099+0.013165
## [116] train-mlogloss:0.128897+0.004789 test-mlogloss:0.714458+0.013623
## [117] train-mlogloss:0.127503+0.004712 test-mlogloss:0.715585+0.012680
## [118] train-mlogloss:0.126002+0.004513 test-mlogloss:0.716791+0.013069
## [119] train-mlogloss:0.124651+0.004117 test-mlogloss:0.718233+0.013188
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## [121] train-mlogloss:0.122464+0.003958 test-mlogloss:0.721280+0.012951
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## [201] train-mlogloss:0.057845+0.001278 test-mlogloss:0.819183+0.012906
## [202] train-mlogloss:0.057425+0.001232 test-mlogloss:0.819324+0.012344
## [203] train-mlogloss:0.057085+0.001231 test-mlogloss:0.819856+0.012647
## [204] train-mlogloss:0.056574+0.001232 test-mlogloss:0.821532+0.012256
## [205] train-mlogloss:0.055937+0.001227 test-mlogloss:0.822171+0.012385
## [206] train-mlogloss:0.055564+0.001215 test-mlogloss:0.823136+0.012260
## [207] train-mlogloss:0.055096+0.001144 test-mlogloss:0.824167+0.011597
## [208] train-mlogloss:0.054606+0.001055 test-mlogloss:0.825597+0.011891
## [209] train-mlogloss:0.054229+0.001100 test-mlogloss:0.825398+0.012424
## [210] train-mlogloss:0.053571+0.000864 test-mlogloss:0.826908+0.012794
## [211] train-mlogloss:0.053025+0.000671 test-mlogloss:0.828458+0.013249
## [212] train-mlogloss:0.052632+0.000674 test-mlogloss:0.829023+0.013206
## [213] train-mlogloss:0.052249+0.000561 test-mlogloss:0.829733+0.012997
## [214] train-mlogloss:0.051721+0.000433 test-mlogloss:0.831158+0.012984
## [215] train-mlogloss:0.051434+0.000451 test-mlogloss:0.831893+0.012187
## [216] train-mlogloss:0.051098+0.000358 test-mlogloss:0.833217+0.012816
## [217] train-mlogloss:0.050513+0.000141 test-mlogloss:0.834860+0.013896
## [218] train-mlogloss:0.050091+0.000213 test-mlogloss:0.836137+0.013848
## [219] train-mlogloss:0.049693+0.000384 test-mlogloss:0.837337+0.014160
## [220] train-mlogloss:0.049279+0.000304 test-mlogloss:0.837591+0.013436
## [221] train-mlogloss:0.048868+0.000354 test-mlogloss:0.838415+0.013571
## [222] train-mlogloss:0.048444+0.000410 test-mlogloss:0.839557+0.013872
## [223] train-mlogloss:0.048132+0.000456 test-mlogloss:0.840144+0.014147
## [224] train-mlogloss:0.047831+0.000514 test-mlogloss:0.840511+0.013712
## [225] train-mlogloss:0.047662+0.000539 test-mlogloss:0.841381+0.013254
## [226] train-mlogloss:0.047279+0.000520 test-mlogloss:0.842741+0.013632
## [227] train-mlogloss:0.046992+0.000593 test-mlogloss:0.843573+0.013843
## [228] train-mlogloss:0.046593+0.000460 test-mlogloss:0.844684+0.013398
## [229] train-mlogloss:0.046272+0.000521 test-mlogloss:0.845655+0.012299
## [230] train-mlogloss:0.045983+0.000628 test-mlogloss:0.845988+0.013048
## [231] train-mlogloss:0.045807+0.000645 test-mlogloss:0.846369+0.013561
## [232] train-mlogloss:0.045470+0.000715 test-mlogloss:0.848088+0.014014
## [233] train-mlogloss:0.045148+0.000665 test-mlogloss:0.849601+0.013541
## [234] train-mlogloss:0.044884+0.000646 test-mlogloss:0.850437+0.013730
## [235] train-mlogloss:0.044665+0.000634 test-mlogloss:0.851306+0.013606
## [236] train-mlogloss:0.044375+0.000637 test-mlogloss:0.852079+0.013200
## [237] train-mlogloss:0.044210+0.000576 test-mlogloss:0.852900+0.013212
## [238] train-mlogloss:0.043952+0.000628 test-mlogloss:0.854117+0.013253
## [239] train-mlogloss:0.043674+0.000553 test-mlogloss:0.854218+0.013630
## [240] train-mlogloss:0.043390+0.000430 test-mlogloss:0.855415+0.013799
## [241] train-mlogloss:0.043227+0.000401 test-mlogloss:0.856395+0.013844
## [242] train-mlogloss:0.042883+0.000374 test-mlogloss:0.856858+0.013884
## [243] train-mlogloss:0.042553+0.000290 test-mlogloss:0.857554+0.013266
## [244] train-mlogloss:0.042255+0.000285 test-mlogloss:0.858748+0.013355
## [245] train-mlogloss:0.042108+0.000275 test-mlogloss:0.859381+0.013793
## [246] train-mlogloss:0.041821+0.000319 test-mlogloss:0.859804+0.012934
## [247] train-mlogloss:0.041505+0.000331 test-mlogloss:0.860483+0.012909
## [248] train-mlogloss:0.041199+0.000389 test-mlogloss:0.861040+0.013399
## [249] train-mlogloss:0.040873+0.000505 test-mlogloss:0.862678+0.014247
## [250] train-mlogloss:0.040563+0.000527 test-mlogloss:0.863523+0.013683
## [251] train-mlogloss:0.040310+0.000483 test-mlogloss:0.864592+0.014264
## [252] train-mlogloss:0.039978+0.000543 test-mlogloss:0.866492+0.014230
## [253] train-mlogloss:0.039770+0.000542 test-mlogloss:0.867285+0.014819
## [254] train-mlogloss:0.039515+0.000580 test-mlogloss:0.868409+0.014729
## [255] train-mlogloss:0.039320+0.000617 test-mlogloss:0.868895+0.014503
## [256] train-mlogloss:0.039173+0.000691 test-mlogloss:0.869872+0.014292
## [257] train-mlogloss:0.038986+0.000740 test-mlogloss:0.871017+0.013753
## [258] train-mlogloss:0.038723+0.000695 test-mlogloss:0.871525+0.013163
## [259] train-mlogloss:0.038533+0.000671 test-mlogloss:0.872668+0.013616
## [260] train-mlogloss:0.038294+0.000702 test-mlogloss:0.874087+0.013599
## [261] train-mlogloss:0.037990+0.000637 test-mlogloss:0.874574+0.013314
## [262] train-mlogloss:0.037753+0.000577 test-mlogloss:0.874785+0.013390
## [263] train-mlogloss:0.037509+0.000494 test-mlogloss:0.875691+0.013697
## [264] train-mlogloss:0.037364+0.000502 test-mlogloss:0.876653+0.014030
## [265] train-mlogloss:0.037027+0.000524 test-mlogloss:0.877429+0.014936
## [266] train-mlogloss:0.036731+0.000441 test-mlogloss:0.878539+0.014737
## [267] train-mlogloss:0.036545+0.000371 test-mlogloss:0.878609+0.014659
## [268] train-mlogloss:0.036377+0.000376 test-mlogloss:0.879436+0.014881
## [269] train-mlogloss:0.036158+0.000417 test-mlogloss:0.880761+0.014249
## [270] train-mlogloss:0.035914+0.000505 test-mlogloss:0.881999+0.014949
## [271] train-mlogloss:0.035650+0.000497 test-mlogloss:0.883027+0.015706
## [272] train-mlogloss:0.035356+0.000457 test-mlogloss:0.884028+0.015641
## [273] train-mlogloss:0.035067+0.000504 test-mlogloss:0.884708+0.015781
## [274] train-mlogloss:0.034792+0.000536 test-mlogloss:0.885812+0.016117
## [275] train-mlogloss:0.034641+0.000521 test-mlogloss:0.886090+0.016172
## [276] train-mlogloss:0.034355+0.000547 test-mlogloss:0.886916+0.017101
## [277] train-mlogloss:0.034147+0.000611 test-mlogloss:0.888012+0.017514
## [278] train-mlogloss:0.033951+0.000632 test-mlogloss:0.888555+0.016999
## [279] train-mlogloss:0.033827+0.000625 test-mlogloss:0.889072+0.016791
## [280] train-mlogloss:0.033733+0.000643 test-mlogloss:0.889350+0.016777
## [281] train-mlogloss:0.033600+0.000642 test-mlogloss:0.890862+0.016385
## [282] train-mlogloss:0.033398+0.000673 test-mlogloss:0.891506+0.016750
## [283] train-mlogloss:0.033163+0.000743 test-mlogloss:0.892202+0.016955
## [284] train-mlogloss:0.032917+0.000736 test-mlogloss:0.892670+0.016314
## [285] train-mlogloss:0.032665+0.000802 test-mlogloss:0.894092+0.016934
## [286] train-mlogloss:0.032376+0.000836 test-mlogloss:0.895580+0.016682
## [287] train-mlogloss:0.032115+0.000831 test-mlogloss:0.896601+0.016445
## [288] train-mlogloss:0.031923+0.000826 test-mlogloss:0.897198+0.017162
## [289] train-mlogloss:0.031727+0.000848 test-mlogloss:0.897713+0.017015
## [290] train-mlogloss:0.031486+0.000855 test-mlogloss:0.898497+0.017015
## [291] train-mlogloss:0.031287+0.000801 test-mlogloss:0.899198+0.016287
## [292] train-mlogloss:0.031099+0.000748 test-mlogloss:0.900611+0.017455
## [293] train-mlogloss:0.030978+0.000772 test-mlogloss:0.901516+0.017316
## [294] train-mlogloss:0.030798+0.000830 test-mlogloss:0.902501+0.017420
## [295] train-mlogloss:0.030609+0.000907 test-mlogloss:0.903594+0.017549
## [296] train-mlogloss:0.030538+0.000914 test-mlogloss:0.903981+0.017588
## [297] train-mlogloss:0.030399+0.000920 test-mlogloss:0.904566+0.017746
## [298] train-mlogloss:0.030288+0.000880 test-mlogloss:0.904846+0.018023
## [299] train-mlogloss:0.030087+0.000837 test-mlogloss:0.906183+0.017809
## [300] train-mlogloss:0.029882+0.000834 test-mlogloss:0.907364+0.017609
## [301] train-mlogloss:0.029687+0.000864 test-mlogloss:0.908186+0.017910
## [302] train-mlogloss:0.029502+0.000881 test-mlogloss:0.909227+0.018283
## [303] train-mlogloss:0.029349+0.000972 test-mlogloss:0.909785+0.018750
## [304] train-mlogloss:0.029085+0.000914 test-mlogloss:0.910544+0.018433
## [305] train-mlogloss:0.028898+0.000894 test-mlogloss:0.911002+0.018444
## [306] train-mlogloss:0.028722+0.000793 test-mlogloss:0.912387+0.017785
## [307] train-mlogloss:0.028540+0.000772 test-mlogloss:0.913159+0.017632
## [308] train-mlogloss:0.028372+0.000733 test-mlogloss:0.914148+0.017812
## [309] train-mlogloss:0.028226+0.000699 test-mlogloss:0.915183+0.017761
## [310] train-mlogloss:0.028083+0.000721 test-mlogloss:0.915933+0.017590
## [311] train-mlogloss:0.027980+0.000767 test-mlogloss:0.916617+0.018285
## [312] train-mlogloss:0.027805+0.000762 test-mlogloss:0.917505+0.018525
## [313] train-mlogloss:0.027635+0.000702 test-mlogloss:0.918163+0.019014
## [314] train-mlogloss:0.027490+0.000705 test-mlogloss:0.919306+0.019087
## [315] train-mlogloss:0.027361+0.000661 test-mlogloss:0.920130+0.019094
## [316] train-mlogloss:0.027191+0.000685 test-mlogloss:0.921824+0.019593
## [317] train-mlogloss:0.027088+0.000686 test-mlogloss:0.921823+0.019090
## [318] train-mlogloss:0.026973+0.000736 test-mlogloss:0.922789+0.019665
## [319] train-mlogloss:0.026843+0.000777 test-mlogloss:0.923457+0.019346
## [320] train-mlogloss:0.026681+0.000699 test-mlogloss:0.924391+0.019171
## [321] train-mlogloss:0.026539+0.000676 test-mlogloss:0.925568+0.018761
## [322] train-mlogloss:0.026374+0.000725 test-mlogloss:0.926183+0.019031
## [323] train-mlogloss:0.026261+0.000688 test-mlogloss:0.926837+0.018927
## [324] train-mlogloss:0.026064+0.000684 test-mlogloss:0.928115+0.018340
## [325] train-mlogloss:0.025910+0.000685 test-mlogloss:0.928941+0.018377
## [326] train-mlogloss:0.025805+0.000674 test-mlogloss:0.929587+0.018463
## [327] train-mlogloss:0.025722+0.000679 test-mlogloss:0.929972+0.019196
## [328] train-mlogloss:0.025591+0.000716 test-mlogloss:0.930854+0.019798
## [329] train-mlogloss:0.025470+0.000712 test-mlogloss:0.931564+0.020094
## [330] train-mlogloss:0.025345+0.000651 test-mlogloss:0.931880+0.019513
## [331] train-mlogloss:0.025211+0.000661 test-mlogloss:0.932243+0.019465
## [332] train-mlogloss:0.025105+0.000683 test-mlogloss:0.933351+0.019518
## [333] train-mlogloss:0.025023+0.000721 test-mlogloss:0.933777+0.019751
## [334] train-mlogloss:0.024879+0.000714 test-mlogloss:0.934187+0.019806
## [335] train-mlogloss:0.024719+0.000765 test-mlogloss:0.935386+0.019848
## [336] train-mlogloss:0.024590+0.000748 test-mlogloss:0.936600+0.019303
## [337] train-mlogloss:0.024392+0.000774 test-mlogloss:0.937536+0.019936
## [338] train-mlogloss:0.024269+0.000802 test-mlogloss:0.938283+0.019450
## [339] train-mlogloss:0.024162+0.000777 test-mlogloss:0.939306+0.019621
## [340] train-mlogloss:0.024021+0.000774 test-mlogloss:0.939365+0.020294
## [341] train-mlogloss:0.023903+0.000787 test-mlogloss:0.940021+0.020354
## [342] train-mlogloss:0.023699+0.000755 test-mlogloss:0.941731+0.020416
## [343] train-mlogloss:0.023551+0.000764 test-mlogloss:0.943036+0.021034
## [344] train-mlogloss:0.023406+0.000752 test-mlogloss:0.943349+0.020951
## [345] train-mlogloss:0.023235+0.000746 test-mlogloss:0.944822+0.020297
## [346] train-mlogloss:0.023118+0.000704 test-mlogloss:0.945511+0.020613
## [347] train-mlogloss:0.023023+0.000720 test-mlogloss:0.946824+0.021080
## [348] train-mlogloss:0.022887+0.000714 test-mlogloss:0.947341+0.022547
## [349] train-mlogloss:0.022788+0.000707 test-mlogloss:0.948135+0.022570
## [350] train-mlogloss:0.022712+0.000716 test-mlogloss:0.949239+0.022111
## [351] train-mlogloss:0.022628+0.000701 test-mlogloss:0.949416+0.021825
## [352] train-mlogloss:0.022549+0.000697 test-mlogloss:0.950003+0.022297
## [353] train-mlogloss:0.022436+0.000714 test-mlogloss:0.950664+0.022453
## [354] train-mlogloss:0.022342+0.000753 test-mlogloss:0.951341+0.022387
## [355] train-mlogloss:0.022216+0.000752 test-mlogloss:0.951923+0.022163
## [356] train-mlogloss:0.022101+0.000770 test-mlogloss:0.952795+0.022100
## [357] train-mlogloss:0.022034+0.000775 test-mlogloss:0.953571+0.022419
## [358] train-mlogloss:0.021934+0.000776 test-mlogloss:0.954242+0.021965
## [359] train-mlogloss:0.021808+0.000750 test-mlogloss:0.954751+0.021533
## [360] train-mlogloss:0.021700+0.000676 test-mlogloss:0.955655+0.021481
## [361] train-mlogloss:0.021574+0.000662 test-mlogloss:0.956965+0.021600
## [362] train-mlogloss:0.021486+0.000704 test-mlogloss:0.957597+0.021792
## [363] train-mlogloss:0.021408+0.000686 test-mlogloss:0.957627+0.021920
## [364] train-mlogloss:0.021291+0.000635 test-mlogloss:0.958839+0.021797
## [365] train-mlogloss:0.021209+0.000612 test-mlogloss:0.959331+0.021832
## [366] train-mlogloss:0.021106+0.000549 test-mlogloss:0.960218+0.021848
## [367] train-mlogloss:0.020995+0.000529 test-mlogloss:0.960800+0.021768
## [368] train-mlogloss:0.020875+0.000493 test-mlogloss:0.961371+0.021671
## [369] train-mlogloss:0.020780+0.000469 test-mlogloss:0.962204+0.021262
## [370] train-mlogloss:0.020667+0.000472 test-mlogloss:0.963538+0.021302
## [371] train-mlogloss:0.020577+0.000471 test-mlogloss:0.964175+0.021441
## [372] train-mlogloss:0.020480+0.000488 test-mlogloss:0.965042+0.021501
## [373] train-mlogloss:0.020395+0.000511 test-mlogloss:0.965576+0.021970
## [374] train-mlogloss:0.020319+0.000533 test-mlogloss:0.965841+0.022225
## [375] train-mlogloss:0.020272+0.000530 test-mlogloss:0.965985+0.022161
## [376] train-mlogloss:0.020170+0.000504 test-mlogloss:0.966773+0.021810
## [377] train-mlogloss:0.020067+0.000513 test-mlogloss:0.967229+0.022518
## [378] train-mlogloss:0.019989+0.000511 test-mlogloss:0.968114+0.022380
## [379] train-mlogloss:0.019940+0.000524 test-mlogloss:0.968023+0.022423
## [380] train-mlogloss:0.019865+0.000518 test-mlogloss:0.968279+0.022334
## [381] train-mlogloss:0.019775+0.000490 test-mlogloss:0.968583+0.021803
## [382] train-mlogloss:0.019690+0.000498 test-mlogloss:0.968827+0.021231
## [383] train-mlogloss:0.019576+0.000445 test-mlogloss:0.969367+0.021811
## [384] train-mlogloss:0.019486+0.000412 test-mlogloss:0.969761+0.021930
## [385] train-mlogloss:0.019412+0.000397 test-mlogloss:0.970262+0.022211
## [386] train-mlogloss:0.019287+0.000416 test-mlogloss:0.972260+0.022308
## [387] train-mlogloss:0.019200+0.000397 test-mlogloss:0.973023+0.021919
## [388] train-mlogloss:0.019122+0.000398 test-mlogloss:0.973660+0.022008
## [389] train-mlogloss:0.019009+0.000394 test-mlogloss:0.974252+0.021958
## [390] train-mlogloss:0.018917+0.000354 test-mlogloss:0.974807+0.021199
## [391] train-mlogloss:0.018856+0.000344 test-mlogloss:0.975012+0.021621
## [392] train-mlogloss:0.018752+0.000299 test-mlogloss:0.975862+0.021760
## [393] train-mlogloss:0.018677+0.000303 test-mlogloss:0.976569+0.021455
## [394] train-mlogloss:0.018589+0.000263 test-mlogloss:0.977345+0.021629
## [395] train-mlogloss:0.018489+0.000267 test-mlogloss:0.978439+0.021344
## [396] train-mlogloss:0.018420+0.000253 test-mlogloss:0.979262+0.021293
## [397] train-mlogloss:0.018337+0.000279 test-mlogloss:0.980187+0.021639
## [398] train-mlogloss:0.018238+0.000263 test-mlogloss:0.980710+0.021596
## [399] train-mlogloss:0.018169+0.000283 test-mlogloss:0.981315+0.021510
## [400] train-mlogloss:0.018095+0.000279 test-mlogloss:0.981914+0.021355
## [401] train-mlogloss:0.018012+0.000262 test-mlogloss:0.982391+0.021349
## [402] train-mlogloss:0.017933+0.000285 test-mlogloss:0.983309+0.021214
## [403] train-mlogloss:0.017878+0.000282 test-mlogloss:0.983633+0.021210
## [404] train-mlogloss:0.017793+0.000322 test-mlogloss:0.983614+0.021289
## [405] train-mlogloss:0.017742+0.000325 test-mlogloss:0.984271+0.021028
## [406] train-mlogloss:0.017668+0.000330 test-mlogloss:0.985007+0.021176
## [407] train-mlogloss:0.017581+0.000335 test-mlogloss:0.985663+0.021206
## [408] train-mlogloss:0.017527+0.000334 test-mlogloss:0.986420+0.021011
## [409] train-mlogloss:0.017448+0.000341 test-mlogloss:0.987042+0.021040
## [410] train-mlogloss:0.017394+0.000357 test-mlogloss:0.987421+0.021318
## [411] train-mlogloss:0.017316+0.000384 test-mlogloss:0.988146+0.021390
## [412] train-mlogloss:0.017249+0.000399 test-mlogloss:0.988757+0.021677
## [413] train-mlogloss:0.017179+0.000386 test-mlogloss:0.989470+0.021910
## [414] train-mlogloss:0.017109+0.000383 test-mlogloss:0.989986+0.021537
## [415] train-mlogloss:0.017024+0.000389 test-mlogloss:0.990514+0.021562
## [416] train-mlogloss:0.016976+0.000401 test-mlogloss:0.991023+0.022334
## [417] train-mlogloss:0.016916+0.000406 test-mlogloss:0.991566+0.021882
## [418] train-mlogloss:0.016849+0.000393 test-mlogloss:0.992327+0.021703
## [419] train-mlogloss:0.016794+0.000380 test-mlogloss:0.992932+0.021460
## [420] train-mlogloss:0.016755+0.000389 test-mlogloss:0.993046+0.021195
## [421] train-mlogloss:0.016686+0.000402 test-mlogloss:0.993574+0.021032
## [422] train-mlogloss:0.016639+0.000410 test-mlogloss:0.993659+0.020360
## [423] train-mlogloss:0.016571+0.000377 test-mlogloss:0.994287+0.019949
## [424] train-mlogloss:0.016526+0.000377 test-mlogloss:0.995014+0.019736
## [425] train-mlogloss:0.016469+0.000378 test-mlogloss:0.995032+0.019273
## [426] train-mlogloss:0.016402+0.000353 test-mlogloss:0.995516+0.018820
## [427] train-mlogloss:0.016312+0.000358 test-mlogloss:0.996342+0.019094
## [428] train-mlogloss:0.016253+0.000377 test-mlogloss:0.997444+0.019578
## [429] train-mlogloss:0.016189+0.000376 test-mlogloss:0.998202+0.019450
## [430] train-mlogloss:0.016127+0.000366 test-mlogloss:0.998752+0.019087
## [431] train-mlogloss:0.016058+0.000367 test-mlogloss:0.999391+0.019373
## [432] train-mlogloss:0.016007+0.000362 test-mlogloss:1.000175+0.019343
## [433] train-mlogloss:0.015937+0.000352 test-mlogloss:1.000734+0.019690
## [434] train-mlogloss:0.015893+0.000348 test-mlogloss:1.001135+0.019181
## [435] train-mlogloss:0.015848+0.000323 test-mlogloss:1.000781+0.019501
## [436] train-mlogloss:0.015794+0.000327 test-mlogloss:1.001308+0.019557
## [437] train-mlogloss:0.015735+0.000309 test-mlogloss:1.001982+0.019397
## [438] train-mlogloss:0.015655+0.000300 test-mlogloss:1.003076+0.020031
## [439] train-mlogloss:0.015599+0.000296 test-mlogloss:1.004053+0.019601
## [440] train-mlogloss:0.015561+0.000292 test-mlogloss:1.004583+0.019005
## [441] train-mlogloss:0.015506+0.000284 test-mlogloss:1.005374+0.019594
## [442] train-mlogloss:0.015445+0.000290 test-mlogloss:1.005991+0.019658
## [443] train-mlogloss:0.015390+0.000305 test-mlogloss:1.006575+0.020072
## [444] train-mlogloss:0.015322+0.000330 test-mlogloss:1.006724+0.019976
## [445] train-mlogloss:0.015263+0.000345 test-mlogloss:1.007852+0.020573
## [446] train-mlogloss:0.015203+0.000354 test-mlogloss:1.008312+0.021142
## [447] train-mlogloss:0.015132+0.000359 test-mlogloss:1.009231+0.020854
## [448] train-mlogloss:0.015081+0.000365 test-mlogloss:1.009932+0.021065
## [449] train-mlogloss:0.015020+0.000365 test-mlogloss:1.010347+0.021252
## [450] train-mlogloss:0.014982+0.000373 test-mlogloss:1.011160+0.021593
## [451] train-mlogloss:0.014936+0.000375 test-mlogloss:1.011423+0.021727
## [452] train-mlogloss:0.014889+0.000366 test-mlogloss:1.012173+0.021764
## [453] train-mlogloss:0.014852+0.000369 test-mlogloss:1.012724+0.021955
## [454] train-mlogloss:0.014815+0.000360 test-mlogloss:1.012640+0.021974
## [455] train-mlogloss:0.014774+0.000366 test-mlogloss:1.012990+0.022266
## [456] train-mlogloss:0.014709+0.000373 test-mlogloss:1.013823+0.022866
## [457] train-mlogloss:0.014666+0.000370 test-mlogloss:1.014283+0.022682
## [458] train-mlogloss:0.014609+0.000377 test-mlogloss:1.014963+0.022701
## [459] train-mlogloss:0.014556+0.000390 test-mlogloss:1.015527+0.022854
## [460] train-mlogloss:0.014495+0.000387 test-mlogloss:1.015979+0.023179
## [461] train-mlogloss:0.014446+0.000382 test-mlogloss:1.015967+0.023028
## [462] train-mlogloss:0.014414+0.000394 test-mlogloss:1.016195+0.023108
## [463] train-mlogloss:0.014372+0.000411 test-mlogloss:1.016449+0.022942
## [464] train-mlogloss:0.014299+0.000425 test-mlogloss:1.017573+0.022975
## [465] train-mlogloss:0.014273+0.000433 test-mlogloss:1.017966+0.023289
## [466] train-mlogloss:0.014234+0.000440 test-mlogloss:1.018648+0.023262
## [467] train-mlogloss:0.014199+0.000451 test-mlogloss:1.018648+0.023076
## [468] train-mlogloss:0.014128+0.000496 test-mlogloss:1.019638+0.023763
## [469] train-mlogloss:0.014068+0.000517 test-mlogloss:1.020331+0.023309
## [470] train-mlogloss:0.014013+0.000514 test-mlogloss:1.021121+0.023033
## [471] train-mlogloss:0.013968+0.000532 test-mlogloss:1.021823+0.023379
## [472] train-mlogloss:0.013918+0.000548 test-mlogloss:1.022464+0.023404
## [473] train-mlogloss:0.013870+0.000545 test-mlogloss:1.023172+0.023568
## [474] train-mlogloss:0.013830+0.000534 test-mlogloss:1.023749+0.023863
## [475] train-mlogloss:0.013778+0.000516 test-mlogloss:1.024653+0.024198
## [476] train-mlogloss:0.013737+0.000509 test-mlogloss:1.025465+0.024005
## [477] train-mlogloss:0.013673+0.000505 test-mlogloss:1.026663+0.024210
## [478] train-mlogloss:0.013616+0.000507 test-mlogloss:1.026931+0.024468
## [479] train-mlogloss:0.013546+0.000511 test-mlogloss:1.027675+0.024511
## [480] train-mlogloss:0.013494+0.000513 test-mlogloss:1.028578+0.024916
## [481] train-mlogloss:0.013451+0.000497 test-mlogloss:1.029054+0.024406
## [482] train-mlogloss:0.013402+0.000481 test-mlogloss:1.029636+0.024305
## [483] train-mlogloss:0.013372+0.000470 test-mlogloss:1.029949+0.024546
## [484] train-mlogloss:0.013306+0.000463 test-mlogloss:1.030764+0.024352
## [485] train-mlogloss:0.013244+0.000467 test-mlogloss:1.031371+0.024514
## [486] train-mlogloss:0.013193+0.000470 test-mlogloss:1.032273+0.024378
## [487] train-mlogloss:0.013127+0.000472 test-mlogloss:1.032687+0.024250
## [488] train-mlogloss:0.013100+0.000483 test-mlogloss:1.032909+0.024130
## [489] train-mlogloss:0.013071+0.000480 test-mlogloss:1.033004+0.024364
## [490] train-mlogloss:0.013022+0.000480 test-mlogloss:1.033655+0.024590
## [491] train-mlogloss:0.012962+0.000471 test-mlogloss:1.034662+0.024175
## [492] train-mlogloss:0.012911+0.000457 test-mlogloss:1.035178+0.023754
## [493] train-mlogloss:0.012862+0.000446 test-mlogloss:1.035002+0.024024
## [494] train-mlogloss:0.012826+0.000454 test-mlogloss:1.036414+0.024301
## [495] train-mlogloss:0.012781+0.000450 test-mlogloss:1.036907+0.024142
## [496] train-mlogloss:0.012744+0.000456 test-mlogloss:1.037513+0.024375
## [497] train-mlogloss:0.012718+0.000456 test-mlogloss:1.037504+0.024396
## [498] train-mlogloss:0.012669+0.000455 test-mlogloss:1.037801+0.024352
## [499] train-mlogloss:0.012635+0.000456 test-mlogloss:1.038472+0.024284
## [500] train-mlogloss:0.012599+0.000450 test-mlogloss:1.038978+0.024079
## [1] train-mlogloss:0.393758+0.001298 test-mlogloss:0.591821+0.013685
## [2] train-mlogloss:0.274462+0.002601 test-mlogloss:0.595323+0.012485
## [3] train-mlogloss:0.207193+0.001340 test-mlogloss:0.609427+0.012104
## [4] train-mlogloss:0.167767+0.003655 test-mlogloss:0.628469+0.015655
## [5] train-mlogloss:0.138468+0.003855 test-mlogloss:0.643500+0.018792
## [6] train-mlogloss:0.120042+0.004483 test-mlogloss:0.655377+0.021186
## [7] train-mlogloss:0.105203+0.003082 test-mlogloss:0.667157+0.023099
## [8] train-mlogloss:0.094253+0.003877 test-mlogloss:0.675989+0.023021
## [9] train-mlogloss:0.086690+0.003357 test-mlogloss:0.683531+0.024440
## [10] train-mlogloss:0.081608+0.003769 test-mlogloss:0.690024+0.024645
## [11] train-mlogloss:0.075073+0.004991 test-mlogloss:0.697419+0.024826
## [12] train-mlogloss:0.068859+0.005683 test-mlogloss:0.703690+0.026353
## [13] train-mlogloss:0.063681+0.005977 test-mlogloss:0.712150+0.028124
## [14] train-mlogloss:0.058915+0.004718 test-mlogloss:0.719697+0.027311
## [15] train-mlogloss:0.054683+0.003445 test-mlogloss:0.726626+0.024979
## [16] train-mlogloss:0.051058+0.003073 test-mlogloss:0.733096+0.024589
## [17] train-mlogloss:0.048414+0.002257 test-mlogloss:0.738552+0.024592
## [18] train-mlogloss:0.046045+0.002262 test-mlogloss:0.742672+0.026515
## [19] train-mlogloss:0.043488+0.002644 test-mlogloss:0.750774+0.027205
## [20] train-mlogloss:0.041328+0.002428 test-mlogloss:0.753848+0.027973
## [21] train-mlogloss:0.039259+0.001711 test-mlogloss:0.758716+0.029603
## [22] train-mlogloss:0.037326+0.001815 test-mlogloss:0.764007+0.029229
## [23] train-mlogloss:0.035964+0.001849 test-mlogloss:0.767496+0.029028
## [24] train-mlogloss:0.034643+0.001214 test-mlogloss:0.771424+0.026898
## [25] train-mlogloss:0.033174+0.001026 test-mlogloss:0.775154+0.027177
## [26] train-mlogloss:0.031878+0.001014 test-mlogloss:0.778804+0.026541
## [27] train-mlogloss:0.030533+0.000899 test-mlogloss:0.783763+0.026556
## [28] train-mlogloss:0.029260+0.000836 test-mlogloss:0.788732+0.026073
## [29] train-mlogloss:0.028109+0.000784 test-mlogloss:0.794241+0.026452
## [30] train-mlogloss:0.027100+0.000895 test-mlogloss:0.798754+0.027419
## [31] train-mlogloss:0.026061+0.000822 test-mlogloss:0.802633+0.026523
## [32] train-mlogloss:0.025126+0.000727 test-mlogloss:0.807141+0.027438
## [33] train-mlogloss:0.024288+0.000654 test-mlogloss:0.810758+0.027153
## [34] train-mlogloss:0.023649+0.000594 test-mlogloss:0.814695+0.026601
## [35] train-mlogloss:0.022959+0.000600 test-mlogloss:0.817131+0.027350
## [36] train-mlogloss:0.022298+0.000600 test-mlogloss:0.821148+0.026933
## [37] train-mlogloss:0.021735+0.000538 test-mlogloss:0.824719+0.026375
## [38] train-mlogloss:0.021146+0.000518 test-mlogloss:0.827763+0.027339
## [39] train-mlogloss:0.020642+0.000524 test-mlogloss:0.829312+0.027673
## [40] train-mlogloss:0.020162+0.000553 test-mlogloss:0.832664+0.027724
## [41] train-mlogloss:0.019680+0.000579 test-mlogloss:0.836221+0.028056
## [42] train-mlogloss:0.019226+0.000566 test-mlogloss:0.839199+0.028529
## [43] train-mlogloss:0.018766+0.000541 test-mlogloss:0.842574+0.029419
## [44] train-mlogloss:0.018338+0.000546 test-mlogloss:0.846012+0.028373
## [45] train-mlogloss:0.017920+0.000511 test-mlogloss:0.850407+0.028309
## [46] train-mlogloss:0.017547+0.000491 test-mlogloss:0.853367+0.028363
## [47] train-mlogloss:0.017192+0.000450 test-mlogloss:0.856002+0.027878
## [48] train-mlogloss:0.016858+0.000391 test-mlogloss:0.858993+0.027690
## [49] train-mlogloss:0.016527+0.000394 test-mlogloss:0.860649+0.027524
## [50] train-mlogloss:0.016195+0.000377 test-mlogloss:0.863208+0.026628
## [51] train-mlogloss:0.015894+0.000362 test-mlogloss:0.866195+0.027193
## [52] train-mlogloss:0.015600+0.000353 test-mlogloss:0.868414+0.027041
## [53] train-mlogloss:0.015327+0.000360 test-mlogloss:0.871514+0.026857
## [54] train-mlogloss:0.015070+0.000348 test-mlogloss:0.873257+0.027274
## [55] train-mlogloss:0.014830+0.000354 test-mlogloss:0.876342+0.027367
## [56] train-mlogloss:0.014578+0.000355 test-mlogloss:0.878499+0.027451
## [57] train-mlogloss:0.014351+0.000351 test-mlogloss:0.880113+0.028497
## [58] train-mlogloss:0.014123+0.000332 test-mlogloss:0.881437+0.028986
## [59] train-mlogloss:0.013905+0.000324 test-mlogloss:0.883469+0.028295
## [60] train-mlogloss:0.013703+0.000300 test-mlogloss:0.885213+0.027326
## [61] train-mlogloss:0.013501+0.000304 test-mlogloss:0.886924+0.027553
## [62] train-mlogloss:0.013299+0.000298 test-mlogloss:0.889160+0.028440
## [63] train-mlogloss:0.013118+0.000307 test-mlogloss:0.892201+0.028928
## [64] train-mlogloss:0.012937+0.000298 test-mlogloss:0.894198+0.029096
## [65] train-mlogloss:0.012765+0.000296 test-mlogloss:0.896285+0.029599
## [66] train-mlogloss:0.012597+0.000285 test-mlogloss:0.898730+0.030828
## [67] train-mlogloss:0.012432+0.000264 test-mlogloss:0.900763+0.031558
## [68] train-mlogloss:0.012276+0.000262 test-mlogloss:0.902324+0.030550
## [69] train-mlogloss:0.012130+0.000266 test-mlogloss:0.904234+0.031234
## [70] train-mlogloss:0.011989+0.000264 test-mlogloss:0.905566+0.030883
## [71] train-mlogloss:0.011847+0.000268 test-mlogloss:0.908112+0.030941
## [72] train-mlogloss:0.011707+0.000269 test-mlogloss:0.909035+0.031413
## [73] train-mlogloss:0.011565+0.000269 test-mlogloss:0.910700+0.031243
## [74] train-mlogloss:0.011439+0.000270 test-mlogloss:0.912700+0.031774
## [75] train-mlogloss:0.011310+0.000264 test-mlogloss:0.914315+0.031589
## [76] train-mlogloss:0.011182+0.000271 test-mlogloss:0.915566+0.031100
## [77] train-mlogloss:0.011067+0.000258 test-mlogloss:0.916939+0.031583
## [78] train-mlogloss:0.010949+0.000258 test-mlogloss:0.918757+0.030600
## [79] train-mlogloss:0.010835+0.000256 test-mlogloss:0.920313+0.030691
## [80] train-mlogloss:0.010726+0.000250 test-mlogloss:0.921364+0.030057
## [81] train-mlogloss:0.010604+0.000233 test-mlogloss:0.922913+0.029869
## [82] train-mlogloss:0.010495+0.000229 test-mlogloss:0.925063+0.030325
## [83] train-mlogloss:0.010393+0.000222 test-mlogloss:0.927317+0.030274
## [84] train-mlogloss:0.010297+0.000219 test-mlogloss:0.928841+0.029255
## [85] train-mlogloss:0.010202+0.000210 test-mlogloss:0.929676+0.028936
## [86] train-mlogloss:0.010105+0.000207 test-mlogloss:0.931083+0.029284
## [87] train-mlogloss:0.010011+0.000202 test-mlogloss:0.932275+0.030107
## [88] train-mlogloss:0.009917+0.000200 test-mlogloss:0.933196+0.029837
## [89] train-mlogloss:0.009833+0.000194 test-mlogloss:0.934583+0.030083
## [90] train-mlogloss:0.009748+0.000192 test-mlogloss:0.936140+0.030338
## [91] train-mlogloss:0.009662+0.000187 test-mlogloss:0.937341+0.030708
## [92] train-mlogloss:0.009579+0.000189 test-mlogloss:0.938561+0.030876
## [93] train-mlogloss:0.009492+0.000185 test-mlogloss:0.939927+0.030511
## [94] train-mlogloss:0.009416+0.000180 test-mlogloss:0.941351+0.030571
## [95] train-mlogloss:0.009343+0.000175 test-mlogloss:0.941987+0.030219
## [96] train-mlogloss:0.009260+0.000174 test-mlogloss:0.942722+0.030254
## [97] train-mlogloss:0.009190+0.000176 test-mlogloss:0.943998+0.030355
## [98] train-mlogloss:0.009113+0.000177 test-mlogloss:0.945190+0.030703
## [99] train-mlogloss:0.009045+0.000176 test-mlogloss:0.946410+0.031141
## [100] train-mlogloss:0.008974+0.000179 test-mlogloss:0.947053+0.031548
## [101] train-mlogloss:0.008908+0.000178 test-mlogloss:0.948594+0.031463
## [102] train-mlogloss:0.008844+0.000175 test-mlogloss:0.949664+0.030861
## [103] train-mlogloss:0.008778+0.000171 test-mlogloss:0.950492+0.030748
## [104] train-mlogloss:0.008718+0.000169 test-mlogloss:0.951840+0.030926
## [105] train-mlogloss:0.008655+0.000165 test-mlogloss:0.953041+0.030917
## [106] train-mlogloss:0.008590+0.000164 test-mlogloss:0.954170+0.031591
## [107] train-mlogloss:0.008529+0.000162 test-mlogloss:0.954755+0.032124
## [108] train-mlogloss:0.008470+0.000163 test-mlogloss:0.955768+0.032812
## [109] train-mlogloss:0.008410+0.000166 test-mlogloss:0.956818+0.032955
## [110] train-mlogloss:0.008348+0.000163 test-mlogloss:0.957736+0.032269
## [111] train-mlogloss:0.008293+0.000162 test-mlogloss:0.958642+0.033433
## [112] train-mlogloss:0.008242+0.000158 test-mlogloss:0.959584+0.033417
## [113] train-mlogloss:0.008188+0.000161 test-mlogloss:0.960794+0.032709
## [114] train-mlogloss:0.008129+0.000161 test-mlogloss:0.962017+0.032366
## [115] train-mlogloss:0.008076+0.000161 test-mlogloss:0.963402+0.032237
## [116] train-mlogloss:0.008025+0.000162 test-mlogloss:0.965049+0.032191
## [117] train-mlogloss:0.007977+0.000159 test-mlogloss:0.965985+0.031789
## [118] train-mlogloss:0.007925+0.000158 test-mlogloss:0.967213+0.032067
## [119] train-mlogloss:0.007874+0.000153 test-mlogloss:0.967526+0.032046
## [120] train-mlogloss:0.007825+0.000151 test-mlogloss:0.968577+0.032499
## [121] train-mlogloss:0.007775+0.000152 test-mlogloss:0.969787+0.031581
## [122] train-mlogloss:0.007730+0.000152 test-mlogloss:0.970757+0.031910
## [123] train-mlogloss:0.007683+0.000150 test-mlogloss:0.971883+0.031612
## [124] train-mlogloss:0.007643+0.000148 test-mlogloss:0.972312+0.031895
## [125] train-mlogloss:0.007598+0.000149 test-mlogloss:0.973267+0.031615
## [126] train-mlogloss:0.007551+0.000147 test-mlogloss:0.974076+0.031496
## [127] train-mlogloss:0.007507+0.000149 test-mlogloss:0.974946+0.031756
## [128] train-mlogloss:0.007464+0.000147 test-mlogloss:0.975392+0.031494
## [129] train-mlogloss:0.007419+0.000142 test-mlogloss:0.976126+0.031812
## [130] train-mlogloss:0.007379+0.000142 test-mlogloss:0.977250+0.032098
## [131] train-mlogloss:0.007339+0.000141 test-mlogloss:0.977764+0.031881
## [132] train-mlogloss:0.007298+0.000140 test-mlogloss:0.979628+0.031866
## [133] train-mlogloss:0.007257+0.000140 test-mlogloss:0.980240+0.032035
## [134] train-mlogloss:0.007217+0.000140 test-mlogloss:0.981405+0.031727
## [135] train-mlogloss:0.007176+0.000137 test-mlogloss:0.981217+0.032154
## [136] train-mlogloss:0.007140+0.000136 test-mlogloss:0.982125+0.032649
## [137] train-mlogloss:0.007102+0.000132 test-mlogloss:0.982765+0.032489
## [138] train-mlogloss:0.007066+0.000127 test-mlogloss:0.983414+0.031927
## [139] train-mlogloss:0.007027+0.000126 test-mlogloss:0.984304+0.032043
## [140] train-mlogloss:0.006990+0.000123 test-mlogloss:0.984826+0.031453
## [141] train-mlogloss:0.006954+0.000125 test-mlogloss:0.986182+0.032035
## [142] train-mlogloss:0.006918+0.000125 test-mlogloss:0.985937+0.032108
## [143] train-mlogloss:0.006882+0.000127 test-mlogloss:0.986820+0.032477
## [144] train-mlogloss:0.006848+0.000127 test-mlogloss:0.987833+0.032757
## [145] train-mlogloss:0.006817+0.000125 test-mlogloss:0.988452+0.032655
## [146] train-mlogloss:0.006785+0.000124 test-mlogloss:0.989061+0.032628
## [147] train-mlogloss:0.006756+0.000121 test-mlogloss:0.990644+0.032621
## [148] train-mlogloss:0.006723+0.000120 test-mlogloss:0.991588+0.032532
## [149] train-mlogloss:0.006692+0.000119 test-mlogloss:0.992278+0.032469
## [150] train-mlogloss:0.006660+0.000119 test-mlogloss:0.993418+0.032235
## [151] train-mlogloss:0.006630+0.000121 test-mlogloss:0.994535+0.032452
## [152] train-mlogloss:0.006602+0.000120 test-mlogloss:0.995300+0.032717
## [153] train-mlogloss:0.006574+0.000122 test-mlogloss:0.996060+0.032832
## [154] train-mlogloss:0.006542+0.000119 test-mlogloss:0.996362+0.033100
## [155] train-mlogloss:0.006511+0.000119 test-mlogloss:0.996738+0.033058
## [156] train-mlogloss:0.006483+0.000117 test-mlogloss:0.997432+0.032298
## [157] train-mlogloss:0.006454+0.000114 test-mlogloss:0.998012+0.032969
## [158] train-mlogloss:0.006423+0.000112 test-mlogloss:0.998690+0.033114
## [159] train-mlogloss:0.006396+0.000113 test-mlogloss:0.999035+0.033543
## [160] train-mlogloss:0.006371+0.000112 test-mlogloss:0.999841+0.033892
## [161] train-mlogloss:0.006344+0.000110 test-mlogloss:1.000630+0.033211
## [162] train-mlogloss:0.006316+0.000107 test-mlogloss:1.000718+0.033010
## [163] train-mlogloss:0.006288+0.000109 test-mlogloss:1.001344+0.032934
## [164] train-mlogloss:0.006261+0.000108 test-mlogloss:1.001583+0.032818
## [165] train-mlogloss:0.006235+0.000105 test-mlogloss:1.002137+0.032679
## [166] train-mlogloss:0.006208+0.000102 test-mlogloss:1.002954+0.032453
## [167] train-mlogloss:0.006184+0.000101 test-mlogloss:1.003432+0.032396
## [168] train-mlogloss:0.006161+0.000101 test-mlogloss:1.004307+0.032688
## [169] train-mlogloss:0.006137+0.000097 test-mlogloss:1.004747+0.033404
## [170] train-mlogloss:0.006115+0.000095 test-mlogloss:1.005707+0.033626
## [171] train-mlogloss:0.006092+0.000097 test-mlogloss:1.006621+0.033689
## [172] train-mlogloss:0.006067+0.000094 test-mlogloss:1.007139+0.033533
## [173] train-mlogloss:0.006045+0.000097 test-mlogloss:1.007895+0.033482
## [174] train-mlogloss:0.006022+0.000097 test-mlogloss:1.008587+0.033457
## [175] train-mlogloss:0.006002+0.000097 test-mlogloss:1.009210+0.033582
## [176] train-mlogloss:0.005979+0.000096 test-mlogloss:1.009512+0.033584
## [177] train-mlogloss:0.005954+0.000096 test-mlogloss:1.009982+0.033462
## [178] train-mlogloss:0.005934+0.000095 test-mlogloss:1.010463+0.033486
## [179] train-mlogloss:0.005914+0.000095 test-mlogloss:1.010967+0.033591
## [180] train-mlogloss:0.005891+0.000094 test-mlogloss:1.011526+0.033508
## [181] train-mlogloss:0.005870+0.000093 test-mlogloss:1.012112+0.033357
## [182] train-mlogloss:0.005850+0.000093 test-mlogloss:1.012582+0.033385
## [183] train-mlogloss:0.005830+0.000091 test-mlogloss:1.013450+0.033529
## [184] train-mlogloss:0.005811+0.000090 test-mlogloss:1.013741+0.033215
## [185] train-mlogloss:0.005789+0.000089 test-mlogloss:1.014545+0.033055
## [186] train-mlogloss:0.005769+0.000088 test-mlogloss:1.014692+0.032795
## [187] train-mlogloss:0.005747+0.000089 test-mlogloss:1.015543+0.032678
## [188] train-mlogloss:0.005728+0.000092 test-mlogloss:1.016450+0.032755
## [189] train-mlogloss:0.005707+0.000090 test-mlogloss:1.017261+0.032554
## [190] train-mlogloss:0.005687+0.000089 test-mlogloss:1.017935+0.032973
## [191] train-mlogloss:0.005668+0.000088 test-mlogloss:1.018439+0.032563
## [192] train-mlogloss:0.005650+0.000088 test-mlogloss:1.019124+0.032647
## [193] train-mlogloss:0.005628+0.000090 test-mlogloss:1.019946+0.032383
## [194] train-mlogloss:0.005610+0.000089 test-mlogloss:1.020516+0.032282
## [195] train-mlogloss:0.005590+0.000088 test-mlogloss:1.021282+0.032291
## [196] train-mlogloss:0.005573+0.000089 test-mlogloss:1.021727+0.032806
## [197] train-mlogloss:0.005555+0.000088 test-mlogloss:1.022232+0.032624
## [198] train-mlogloss:0.005538+0.000088 test-mlogloss:1.022745+0.032563
## [199] train-mlogloss:0.005522+0.000088 test-mlogloss:1.023337+0.032596
## [200] train-mlogloss:0.005503+0.000088 test-mlogloss:1.023556+0.032774
## [201] train-mlogloss:0.005484+0.000087 test-mlogloss:1.023700+0.032916
## [202] train-mlogloss:0.005466+0.000089 test-mlogloss:1.024834+0.032781
## [203] train-mlogloss:0.005448+0.000089 test-mlogloss:1.025840+0.032508
## [204] train-mlogloss:0.005430+0.000088 test-mlogloss:1.026142+0.032344
## [205] train-mlogloss:0.005413+0.000086 test-mlogloss:1.026525+0.032201
## [206] train-mlogloss:0.005396+0.000084 test-mlogloss:1.027141+0.032353
## [207] train-mlogloss:0.005382+0.000083 test-mlogloss:1.028110+0.032148
## [208] train-mlogloss:0.005365+0.000083 test-mlogloss:1.028424+0.032200
## [209] train-mlogloss:0.005349+0.000084 test-mlogloss:1.029092+0.032073
## [210] train-mlogloss:0.005333+0.000084 test-mlogloss:1.029560+0.032461
## [211] train-mlogloss:0.005316+0.000082 test-mlogloss:1.029866+0.032554
## [212] train-mlogloss:0.005299+0.000081 test-mlogloss:1.030466+0.032603
## [213] train-mlogloss:0.005284+0.000082 test-mlogloss:1.031250+0.032287
## [214] train-mlogloss:0.005268+0.000082 test-mlogloss:1.032172+0.032282
## [215] train-mlogloss:0.005252+0.000079 test-mlogloss:1.032748+0.032244
## [216] train-mlogloss:0.005236+0.000078 test-mlogloss:1.033133+0.032446
## [217] train-mlogloss:0.005220+0.000079 test-mlogloss:1.033432+0.032598
## [218] train-mlogloss:0.005206+0.000077 test-mlogloss:1.033913+0.032732
## [219] train-mlogloss:0.005191+0.000077 test-mlogloss:1.033935+0.032898
## [220] train-mlogloss:0.005177+0.000076 test-mlogloss:1.034442+0.033181
## [221] train-mlogloss:0.005162+0.000076 test-mlogloss:1.034839+0.032981
## [222] train-mlogloss:0.005145+0.000074 test-mlogloss:1.035196+0.033074
## [223] train-mlogloss:0.005130+0.000075 test-mlogloss:1.036292+0.033538
## [224] train-mlogloss:0.005116+0.000076 test-mlogloss:1.036694+0.033461
## [225] train-mlogloss:0.005101+0.000075 test-mlogloss:1.036791+0.033192
## [226] train-mlogloss:0.005087+0.000075 test-mlogloss:1.037645+0.033548
## [227] train-mlogloss:0.005073+0.000075 test-mlogloss:1.038130+0.033901
## [228] train-mlogloss:0.005058+0.000075 test-mlogloss:1.039051+0.033851
## [229] train-mlogloss:0.005044+0.000074 test-mlogloss:1.039127+0.033394
## [230] train-mlogloss:0.005030+0.000073 test-mlogloss:1.039867+0.033305
## [231] train-mlogloss:0.005016+0.000074 test-mlogloss:1.040505+0.033514
## [232] train-mlogloss:0.005002+0.000073 test-mlogloss:1.041013+0.033716
## [233] train-mlogloss:0.004989+0.000072 test-mlogloss:1.041015+0.033923
## [234] train-mlogloss:0.004977+0.000073 test-mlogloss:1.041685+0.033604
## [235] train-mlogloss:0.004963+0.000074 test-mlogloss:1.041822+0.033979
## [236] train-mlogloss:0.004949+0.000074 test-mlogloss:1.042222+0.034001
## [237] train-mlogloss:0.004935+0.000073 test-mlogloss:1.042772+0.034209
## [238] train-mlogloss:0.004923+0.000072 test-mlogloss:1.043596+0.033993
## [239] train-mlogloss:0.004909+0.000073 test-mlogloss:1.043447+0.034260
## [240] train-mlogloss:0.004896+0.000072 test-mlogloss:1.043830+0.034214
## [241] train-mlogloss:0.004883+0.000072 test-mlogloss:1.044334+0.033826
## [242] train-mlogloss:0.004871+0.000072 test-mlogloss:1.044842+0.033979
## [243] train-mlogloss:0.004859+0.000071 test-mlogloss:1.045114+0.033976
## [244] train-mlogloss:0.004845+0.000069 test-mlogloss:1.045384+0.033799
## [245] train-mlogloss:0.004832+0.000068 test-mlogloss:1.045921+0.033884
## [246] train-mlogloss:0.004820+0.000069 test-mlogloss:1.046301+0.034001
## [247] train-mlogloss:0.004808+0.000068 test-mlogloss:1.046339+0.033842
## [248] train-mlogloss:0.004796+0.000068 test-mlogloss:1.046887+0.033812
## [249] train-mlogloss:0.004784+0.000067 test-mlogloss:1.046980+0.034383
## [250] train-mlogloss:0.004773+0.000067 test-mlogloss:1.047529+0.034222
## [251] train-mlogloss:0.004762+0.000068 test-mlogloss:1.047816+0.034442
## [252] train-mlogloss:0.004750+0.000068 test-mlogloss:1.048106+0.034587
## [253] train-mlogloss:0.004739+0.000066 test-mlogloss:1.048303+0.034527
## [254] train-mlogloss:0.004729+0.000066 test-mlogloss:1.048598+0.034258
## [255] train-mlogloss:0.004718+0.000065 test-mlogloss:1.049561+0.034090
## [256] train-mlogloss:0.004707+0.000065 test-mlogloss:1.050015+0.034234
## [257] train-mlogloss:0.004695+0.000065 test-mlogloss:1.050137+0.033732
## [258] train-mlogloss:0.004684+0.000065 test-mlogloss:1.050777+0.034039
## [259] train-mlogloss:0.004672+0.000065 test-mlogloss:1.050931+0.033959
## [260] train-mlogloss:0.004660+0.000064 test-mlogloss:1.051530+0.033572
## [261] train-mlogloss:0.004648+0.000063 test-mlogloss:1.052091+0.033691
## [262] train-mlogloss:0.004638+0.000063 test-mlogloss:1.051957+0.033421
## [263] train-mlogloss:0.004627+0.000063 test-mlogloss:1.052366+0.033749
## [264] train-mlogloss:0.004616+0.000062 test-mlogloss:1.052904+0.033619
## [265] train-mlogloss:0.004605+0.000063 test-mlogloss:1.053218+0.033521
## [266] train-mlogloss:0.004595+0.000061 test-mlogloss:1.053390+0.033438
## [267] train-mlogloss:0.004583+0.000061 test-mlogloss:1.053778+0.033643
## [268] train-mlogloss:0.004573+0.000062 test-mlogloss:1.054126+0.033423
## [269] train-mlogloss:0.004562+0.000061 test-mlogloss:1.054732+0.033856
## [270] train-mlogloss:0.004551+0.000060 test-mlogloss:1.054909+0.033891
## [271] train-mlogloss:0.004542+0.000060 test-mlogloss:1.055299+0.033409
## [272] train-mlogloss:0.004532+0.000061 test-mlogloss:1.055497+0.033284
## [273] train-mlogloss:0.004521+0.000061 test-mlogloss:1.056269+0.033339
## [274] train-mlogloss:0.004510+0.000060 test-mlogloss:1.056814+0.033568
## [275] train-mlogloss:0.004500+0.000060 test-mlogloss:1.057258+0.033807
## [276] train-mlogloss:0.004489+0.000060 test-mlogloss:1.057601+0.034095
## [277] train-mlogloss:0.004480+0.000061 test-mlogloss:1.057773+0.033773
## [278] train-mlogloss:0.004470+0.000061 test-mlogloss:1.058184+0.033968
## [279] train-mlogloss:0.004458+0.000061 test-mlogloss:1.058867+0.033981
## [280] train-mlogloss:0.004448+0.000061 test-mlogloss:1.059351+0.034040
## [281] train-mlogloss:0.004439+0.000061 test-mlogloss:1.060107+0.034104
## [282] train-mlogloss:0.004430+0.000062 test-mlogloss:1.059996+0.034098
## [283] train-mlogloss:0.004421+0.000062 test-mlogloss:1.060845+0.034067
## [284] train-mlogloss:0.004410+0.000062 test-mlogloss:1.061081+0.034085
## [285] train-mlogloss:0.004402+0.000061 test-mlogloss:1.061292+0.034074
## [286] train-mlogloss:0.004392+0.000061 test-mlogloss:1.061502+0.034178
## [287] train-mlogloss:0.004383+0.000061 test-mlogloss:1.061874+0.034072
## [288] train-mlogloss:0.004373+0.000061 test-mlogloss:1.062235+0.033890
## [289] train-mlogloss:0.004365+0.000060 test-mlogloss:1.062717+0.034067
## [290] train-mlogloss:0.004355+0.000060 test-mlogloss:1.063120+0.034053
## [291] train-mlogloss:0.004346+0.000060 test-mlogloss:1.063783+0.034352
## [292] train-mlogloss:0.004336+0.000059 test-mlogloss:1.063944+0.034253
## [293] train-mlogloss:0.004327+0.000059 test-mlogloss:1.064883+0.034364
## [294] train-mlogloss:0.004318+0.000059 test-mlogloss:1.065182+0.034207
## [295] train-mlogloss:0.004308+0.000058 test-mlogloss:1.065457+0.034140
## [296] train-mlogloss:0.004299+0.000058 test-mlogloss:1.065829+0.034095
## [297] train-mlogloss:0.004291+0.000057 test-mlogloss:1.066448+0.034150
## [298] train-mlogloss:0.004283+0.000057 test-mlogloss:1.067088+0.034141
## [299] train-mlogloss:0.004274+0.000056 test-mlogloss:1.067230+0.034454
## [300] train-mlogloss:0.004267+0.000056 test-mlogloss:1.067494+0.034546
## [301] train-mlogloss:0.004259+0.000055 test-mlogloss:1.067558+0.034710
## [302] train-mlogloss:0.004250+0.000054 test-mlogloss:1.067946+0.034827
## [303] train-mlogloss:0.004242+0.000054 test-mlogloss:1.068224+0.034542
## [304] train-mlogloss:0.004233+0.000055 test-mlogloss:1.068686+0.034530
## [305] train-mlogloss:0.004225+0.000056 test-mlogloss:1.069141+0.034447
## [306] train-mlogloss:0.004218+0.000055 test-mlogloss:1.069167+0.034474
## [307] train-mlogloss:0.004209+0.000055 test-mlogloss:1.069610+0.034733
## [308] train-mlogloss:0.004201+0.000055 test-mlogloss:1.069981+0.034718
## [309] train-mlogloss:0.004193+0.000055 test-mlogloss:1.070582+0.034622
## [310] train-mlogloss:0.004186+0.000054 test-mlogloss:1.070981+0.034612
## [311] train-mlogloss:0.004177+0.000054 test-mlogloss:1.071465+0.034653
## [312] train-mlogloss:0.004169+0.000054 test-mlogloss:1.071857+0.034743
## [313] train-mlogloss:0.004162+0.000053 test-mlogloss:1.071938+0.034868
## [314] train-mlogloss:0.004153+0.000053 test-mlogloss:1.071889+0.034761
## [315] train-mlogloss:0.004145+0.000053 test-mlogloss:1.072241+0.034657
## [316] train-mlogloss:0.004136+0.000052 test-mlogloss:1.072704+0.034768
## [317] train-mlogloss:0.004128+0.000053 test-mlogloss:1.073015+0.034755
## [318] train-mlogloss:0.004120+0.000052 test-mlogloss:1.073345+0.034755
## [319] train-mlogloss:0.004112+0.000053 test-mlogloss:1.073936+0.034620
## [320] train-mlogloss:0.004105+0.000052 test-mlogloss:1.074181+0.034689
## [321] train-mlogloss:0.004097+0.000052 test-mlogloss:1.074647+0.034469
## [322] train-mlogloss:0.004090+0.000051 test-mlogloss:1.074941+0.034764
## [323] train-mlogloss:0.004082+0.000052 test-mlogloss:1.075210+0.035184
## [324] train-mlogloss:0.004074+0.000052 test-mlogloss:1.075441+0.035089
## [325] train-mlogloss:0.004067+0.000051 test-mlogloss:1.075772+0.035141
## [326] train-mlogloss:0.004060+0.000052 test-mlogloss:1.076050+0.035071
## [327] train-mlogloss:0.004053+0.000053 test-mlogloss:1.076033+0.035220
## [328] train-mlogloss:0.004046+0.000053 test-mlogloss:1.076491+0.035444
## [329] train-mlogloss:0.004039+0.000053 test-mlogloss:1.076909+0.035411
## [330] train-mlogloss:0.004032+0.000054 test-mlogloss:1.077117+0.035510
## [331] train-mlogloss:0.004025+0.000054 test-mlogloss:1.077201+0.035475
## [332] train-mlogloss:0.004019+0.000054 test-mlogloss:1.077408+0.035353
## [333] train-mlogloss:0.004012+0.000053 test-mlogloss:1.077903+0.035595
## [334] train-mlogloss:0.004004+0.000053 test-mlogloss:1.077894+0.035394
## [335] train-mlogloss:0.003998+0.000053 test-mlogloss:1.078491+0.035340
## [336] train-mlogloss:0.003991+0.000052 test-mlogloss:1.078729+0.035308
## [337] train-mlogloss:0.003983+0.000052 test-mlogloss:1.079408+0.035545
## [338] train-mlogloss:0.003977+0.000052 test-mlogloss:1.079529+0.035779
## [339] train-mlogloss:0.003969+0.000052 test-mlogloss:1.079600+0.035710
## [340] train-mlogloss:0.003962+0.000052 test-mlogloss:1.079834+0.035621
## [341] train-mlogloss:0.003956+0.000051 test-mlogloss:1.080101+0.035046
## [342] train-mlogloss:0.003949+0.000051 test-mlogloss:1.080502+0.035261
## [343] train-mlogloss:0.003943+0.000050 test-mlogloss:1.080337+0.035202
## [344] train-mlogloss:0.003936+0.000050 test-mlogloss:1.080577+0.035291
## [345] train-mlogloss:0.003930+0.000050 test-mlogloss:1.080669+0.035137
## [346] train-mlogloss:0.003923+0.000050 test-mlogloss:1.080803+0.035242
## [347] train-mlogloss:0.003917+0.000050 test-mlogloss:1.080816+0.035139
## [348] train-mlogloss:0.003912+0.000050 test-mlogloss:1.081115+0.035364
## [349] train-mlogloss:0.003904+0.000050 test-mlogloss:1.080996+0.034992
## [350] train-mlogloss:0.003898+0.000050 test-mlogloss:1.081739+0.035052
## [351] train-mlogloss:0.003891+0.000049 test-mlogloss:1.082242+0.035539
## [352] train-mlogloss:0.003884+0.000050 test-mlogloss:1.082721+0.035390
## [353] train-mlogloss:0.003877+0.000050 test-mlogloss:1.083092+0.035513
## [354] train-mlogloss:0.003871+0.000050 test-mlogloss:1.083116+0.035812
## [355] train-mlogloss:0.003865+0.000050 test-mlogloss:1.083608+0.035452
## [356] train-mlogloss:0.003858+0.000050 test-mlogloss:1.083795+0.035527
## [357] train-mlogloss:0.003853+0.000050 test-mlogloss:1.083955+0.035758
## [358] train-mlogloss:0.003847+0.000050 test-mlogloss:1.084458+0.035791
## [359] train-mlogloss:0.003841+0.000050 test-mlogloss:1.084435+0.035545
## [360] train-mlogloss:0.003833+0.000051 test-mlogloss:1.084529+0.035930
## [361] train-mlogloss:0.003827+0.000051 test-mlogloss:1.084816+0.036092
## [362] train-mlogloss:0.003820+0.000051 test-mlogloss:1.085140+0.036045
## [363] train-mlogloss:0.003814+0.000051 test-mlogloss:1.085503+0.036172
## [364] train-mlogloss:0.003808+0.000051 test-mlogloss:1.085609+0.036301
## [365] train-mlogloss:0.003802+0.000051 test-mlogloss:1.085964+0.036435
## [366] train-mlogloss:0.003796+0.000051 test-mlogloss:1.085856+0.036526
## [367] train-mlogloss:0.003791+0.000050 test-mlogloss:1.086122+0.036471
## [368] train-mlogloss:0.003784+0.000051 test-mlogloss:1.086859+0.036533
## [369] train-mlogloss:0.003780+0.000051 test-mlogloss:1.087378+0.036528
## [370] train-mlogloss:0.003774+0.000050 test-mlogloss:1.087902+0.036667
## [371] train-mlogloss:0.003768+0.000051 test-mlogloss:1.088254+0.036608
## [372] train-mlogloss:0.003763+0.000050 test-mlogloss:1.088773+0.036672
## [373] train-mlogloss:0.003757+0.000050 test-mlogloss:1.089016+0.036664
## [374] train-mlogloss:0.003751+0.000050 test-mlogloss:1.089369+0.036894
## [375] train-mlogloss:0.003745+0.000050 test-mlogloss:1.089493+0.036955
## [376] train-mlogloss:0.003739+0.000049 test-mlogloss:1.089946+0.036883
## [377] train-mlogloss:0.003734+0.000049 test-mlogloss:1.090417+0.036888
## [378] train-mlogloss:0.003728+0.000050 test-mlogloss:1.090624+0.037239
## [379] train-mlogloss:0.003723+0.000050 test-mlogloss:1.090973+0.037029
## [380] train-mlogloss:0.003717+0.000049 test-mlogloss:1.091256+0.037231
## [381] train-mlogloss:0.003711+0.000049 test-mlogloss:1.091432+0.037403
## [382] train-mlogloss:0.003706+0.000048 test-mlogloss:1.091433+0.037171
## [383] train-mlogloss:0.003701+0.000048 test-mlogloss:1.091620+0.037194
## [384] train-mlogloss:0.003695+0.000049 test-mlogloss:1.092210+0.037060
## [385] train-mlogloss:0.003690+0.000048 test-mlogloss:1.092490+0.037113
## [386] train-mlogloss:0.003685+0.000048 test-mlogloss:1.092718+0.037043
## [387] train-mlogloss:0.003679+0.000047 test-mlogloss:1.093125+0.037130
## [388] train-mlogloss:0.003673+0.000047 test-mlogloss:1.093186+0.036961
## [389] train-mlogloss:0.003668+0.000047 test-mlogloss:1.093689+0.036929
## [390] train-mlogloss:0.003662+0.000046 test-mlogloss:1.093705+0.037314
## [391] train-mlogloss:0.003657+0.000046 test-mlogloss:1.093855+0.037395
## [392] train-mlogloss:0.003651+0.000046 test-mlogloss:1.093888+0.037467
## [393] train-mlogloss:0.003645+0.000046 test-mlogloss:1.094222+0.037452
## [394] train-mlogloss:0.003641+0.000046 test-mlogloss:1.094515+0.037420
## [395] train-mlogloss:0.003636+0.000045 test-mlogloss:1.094987+0.037422
## [396] train-mlogloss:0.003630+0.000045 test-mlogloss:1.095510+0.037483
## [397] train-mlogloss:0.003625+0.000045 test-mlogloss:1.095748+0.037376
## [398] train-mlogloss:0.003619+0.000045 test-mlogloss:1.095848+0.037564
## [399] train-mlogloss:0.003615+0.000045 test-mlogloss:1.095626+0.037474
## [400] train-mlogloss:0.003609+0.000045 test-mlogloss:1.095707+0.037307
## [401] train-mlogloss:0.003604+0.000044 test-mlogloss:1.096197+0.037273
## [402] train-mlogloss:0.003599+0.000044 test-mlogloss:1.096427+0.037394
## [403] train-mlogloss:0.003594+0.000045 test-mlogloss:1.096798+0.037167
## [404] train-mlogloss:0.003589+0.000045 test-mlogloss:1.097133+0.037361
## [405] train-mlogloss:0.003583+0.000044 test-mlogloss:1.097135+0.037229
## [406] train-mlogloss:0.003577+0.000043 test-mlogloss:1.097311+0.036948
## [407] train-mlogloss:0.003572+0.000042 test-mlogloss:1.097880+0.037094
## [408] train-mlogloss:0.003568+0.000042 test-mlogloss:1.097907+0.037054
## [409] train-mlogloss:0.003563+0.000043 test-mlogloss:1.097873+0.037043
## [410] train-mlogloss:0.003558+0.000043 test-mlogloss:1.097942+0.037065
## [411] train-mlogloss:0.003553+0.000043 test-mlogloss:1.098341+0.037193
## [412] train-mlogloss:0.003549+0.000043 test-mlogloss:1.098294+0.037251
## [413] train-mlogloss:0.003544+0.000042 test-mlogloss:1.098331+0.037203
## [414] train-mlogloss:0.003540+0.000042 test-mlogloss:1.098504+0.037204
## [415] train-mlogloss:0.003535+0.000042 test-mlogloss:1.099074+0.037151
## [416] train-mlogloss:0.003529+0.000042 test-mlogloss:1.099458+0.036893
## [417] train-mlogloss:0.003524+0.000042 test-mlogloss:1.099797+0.037120
## [418] train-mlogloss:0.003519+0.000042 test-mlogloss:1.100062+0.037278
## [419] train-mlogloss:0.003514+0.000042 test-mlogloss:1.100614+0.037604
## [420] train-mlogloss:0.003509+0.000042 test-mlogloss:1.100615+0.037681
## [421] train-mlogloss:0.003505+0.000041 test-mlogloss:1.100947+0.037531
## [422] train-mlogloss:0.003500+0.000042 test-mlogloss:1.101014+0.037449
## [423] train-mlogloss:0.003495+0.000042 test-mlogloss:1.101368+0.037457
## [424] train-mlogloss:0.003490+0.000042 test-mlogloss:1.102056+0.037340
## [425] train-mlogloss:0.003485+0.000042 test-mlogloss:1.102165+0.037293
## [426] train-mlogloss:0.003481+0.000041 test-mlogloss:1.102350+0.037108
## [427] train-mlogloss:0.003476+0.000042 test-mlogloss:1.102765+0.037107
## [428] train-mlogloss:0.003472+0.000042 test-mlogloss:1.103068+0.037362
## [429] train-mlogloss:0.003467+0.000042 test-mlogloss:1.103324+0.037323
## [430] train-mlogloss:0.003462+0.000042 test-mlogloss:1.103853+0.037187
## [431] train-mlogloss:0.003458+0.000042 test-mlogloss:1.104024+0.037260
## [432] train-mlogloss:0.003454+0.000042 test-mlogloss:1.104077+0.037430
## [433] train-mlogloss:0.003450+0.000042 test-mlogloss:1.104110+0.037264
## [434] train-mlogloss:0.003445+0.000042 test-mlogloss:1.104563+0.037115
## [435] train-mlogloss:0.003441+0.000042 test-mlogloss:1.104627+0.037338
## [436] train-mlogloss:0.003436+0.000041 test-mlogloss:1.104880+0.037372
## [437] train-mlogloss:0.003432+0.000042 test-mlogloss:1.105020+0.037028
## [438] train-mlogloss:0.003428+0.000042 test-mlogloss:1.105298+0.036846
## [439] train-mlogloss:0.003423+0.000042 test-mlogloss:1.105638+0.036884
## [440] train-mlogloss:0.003420+0.000042 test-mlogloss:1.106031+0.037268
## [441] train-mlogloss:0.003416+0.000041 test-mlogloss:1.106287+0.037257
## [442] train-mlogloss:0.003411+0.000041 test-mlogloss:1.106378+0.037035
## [443] train-mlogloss:0.003407+0.000041 test-mlogloss:1.106726+0.037321
## [444] train-mlogloss:0.003403+0.000041 test-mlogloss:1.106734+0.037393
## [445] train-mlogloss:0.003398+0.000041 test-mlogloss:1.107302+0.037286
## [446] train-mlogloss:0.003394+0.000041 test-mlogloss:1.107609+0.037436
## [447] train-mlogloss:0.003390+0.000040 test-mlogloss:1.107824+0.037111
## [448] train-mlogloss:0.003386+0.000041 test-mlogloss:1.108085+0.036817
## [449] train-mlogloss:0.003382+0.000040 test-mlogloss:1.108406+0.036937
## [450] train-mlogloss:0.003378+0.000040 test-mlogloss:1.108495+0.036943
## [451] train-mlogloss:0.003373+0.000040 test-mlogloss:1.109002+0.037074
## [452] train-mlogloss:0.003369+0.000040 test-mlogloss:1.109236+0.037353
## [453] train-mlogloss:0.003365+0.000039 test-mlogloss:1.109121+0.037623
## [454] train-mlogloss:0.003361+0.000040 test-mlogloss:1.109325+0.037805
## [455] train-mlogloss:0.003357+0.000039 test-mlogloss:1.109664+0.037428
## [456] train-mlogloss:0.003353+0.000040 test-mlogloss:1.109685+0.037477
## [457] train-mlogloss:0.003349+0.000040 test-mlogloss:1.109964+0.037551
## [458] train-mlogloss:0.003345+0.000040 test-mlogloss:1.110348+0.037403
## [459] train-mlogloss:0.003341+0.000039 test-mlogloss:1.110723+0.037437
## [460] train-mlogloss:0.003337+0.000040 test-mlogloss:1.110662+0.037576
## [461] train-mlogloss:0.003333+0.000039 test-mlogloss:1.110579+0.037629
## [462] train-mlogloss:0.003329+0.000039 test-mlogloss:1.110880+0.037546
## [463] train-mlogloss:0.003326+0.000039 test-mlogloss:1.110958+0.037442
## [464] train-mlogloss:0.003322+0.000039 test-mlogloss:1.111212+0.037078
## [465] train-mlogloss:0.003318+0.000039 test-mlogloss:1.111563+0.037238
## [466] train-mlogloss:0.003314+0.000038 test-mlogloss:1.111625+0.037375
## [467] train-mlogloss:0.003309+0.000038 test-mlogloss:1.111954+0.037670
## [468] train-mlogloss:0.003305+0.000037 test-mlogloss:1.112098+0.037736
## [469] train-mlogloss:0.003301+0.000038 test-mlogloss:1.112249+0.037568
## [470] train-mlogloss:0.003298+0.000037 test-mlogloss:1.112624+0.037529
## [471] train-mlogloss:0.003294+0.000038 test-mlogloss:1.112854+0.037558
## [472] train-mlogloss:0.003290+0.000038 test-mlogloss:1.112945+0.037401
## [473] train-mlogloss:0.003286+0.000039 test-mlogloss:1.113366+0.037535
## [474] train-mlogloss:0.003282+0.000039 test-mlogloss:1.113864+0.037717
## [475] train-mlogloss:0.003279+0.000039 test-mlogloss:1.113942+0.037892
## [476] train-mlogloss:0.003275+0.000038 test-mlogloss:1.114031+0.038170
## [477] train-mlogloss:0.003272+0.000038 test-mlogloss:1.113977+0.038123
## [478] train-mlogloss:0.003267+0.000039 test-mlogloss:1.114392+0.038009
## [479] train-mlogloss:0.003264+0.000038 test-mlogloss:1.114416+0.037982
## [480] train-mlogloss:0.003261+0.000038 test-mlogloss:1.114498+0.037980
## [481] train-mlogloss:0.003257+0.000038 test-mlogloss:1.114884+0.038094
## [482] train-mlogloss:0.003253+0.000038 test-mlogloss:1.114855+0.038382
## [483] train-mlogloss:0.003250+0.000038 test-mlogloss:1.114988+0.038279
## [484] train-mlogloss:0.003247+0.000037 test-mlogloss:1.115247+0.038277
## [485] train-mlogloss:0.003244+0.000037 test-mlogloss:1.115631+0.038632
## [486] train-mlogloss:0.003240+0.000037 test-mlogloss:1.115704+0.038622
## [487] train-mlogloss:0.003237+0.000036 test-mlogloss:1.116140+0.038294
## [488] train-mlogloss:0.003233+0.000036 test-mlogloss:1.116067+0.038230
## [489] train-mlogloss:0.003229+0.000036 test-mlogloss:1.116265+0.038499
## [490] train-mlogloss:0.003226+0.000037 test-mlogloss:1.116369+0.038394
## [491] train-mlogloss:0.003223+0.000037 test-mlogloss:1.116602+0.038520
## [492] train-mlogloss:0.003219+0.000037 test-mlogloss:1.116637+0.038591
## [493] train-mlogloss:0.003216+0.000037 test-mlogloss:1.117232+0.038741
## [494] train-mlogloss:0.003212+0.000037 test-mlogloss:1.117361+0.038930
## [495] train-mlogloss:0.003209+0.000037 test-mlogloss:1.117281+0.038989
## [496] train-mlogloss:0.003205+0.000037 test-mlogloss:1.117616+0.038945
## [497] train-mlogloss:0.003202+0.000037 test-mlogloss:1.118115+0.039021
## [498] train-mlogloss:0.003198+0.000037 test-mlogloss:1.118123+0.039146
## [499] train-mlogloss:0.003196+0.000037 test-mlogloss:1.118445+0.039206
## [500] train-mlogloss:0.003192+0.000037 test-mlogloss:1.118639+0.039170
## [1] train-mlogloss:0.522561+0.003603 test-mlogloss:0.547190+0.010735
## [2] train-mlogloss:0.502138+0.004144 test-mlogloss:0.541558+0.013226
## [3] train-mlogloss:0.491440+0.003611 test-mlogloss:0.544379+0.013926
## [4] train-mlogloss:0.483697+0.005602 test-mlogloss:0.547081+0.015324
## [5] train-mlogloss:0.476893+0.003658 test-mlogloss:0.549002+0.015371
## [6] train-mlogloss:0.467064+0.002095 test-mlogloss:0.552371+0.016175
## [7] train-mlogloss:0.457550+0.004831 test-mlogloss:0.558664+0.015535
## [8] train-mlogloss:0.450447+0.006135 test-mlogloss:0.562414+0.016301
## [9] train-mlogloss:0.444355+0.005760 test-mlogloss:0.565461+0.017310
## [10] train-mlogloss:0.437106+0.006644 test-mlogloss:0.567888+0.017998
## [11] train-mlogloss:0.432354+0.005012 test-mlogloss:0.568097+0.018312
## [12] train-mlogloss:0.423177+0.005304 test-mlogloss:0.570245+0.018318
## [13] train-mlogloss:0.416384+0.004543 test-mlogloss:0.573345+0.017315
## [14] train-mlogloss:0.408148+0.005546 test-mlogloss:0.577258+0.017041
## [15] train-mlogloss:0.401419+0.006691 test-mlogloss:0.581213+0.020334
## [16] train-mlogloss:0.395346+0.007295 test-mlogloss:0.584401+0.021919
## [17] train-mlogloss:0.387814+0.007698 test-mlogloss:0.588207+0.023179
## [18] train-mlogloss:0.379394+0.009134 test-mlogloss:0.592805+0.024093
## [19] train-mlogloss:0.371655+0.010714 test-mlogloss:0.597080+0.025219
## [20] train-mlogloss:0.364672+0.011003 test-mlogloss:0.600181+0.026335
## [21] train-mlogloss:0.359297+0.011208 test-mlogloss:0.602272+0.027081
## [22] train-mlogloss:0.354630+0.011810 test-mlogloss:0.605569+0.026979
## [23] train-mlogloss:0.350278+0.010533 test-mlogloss:0.607484+0.026262
## [24] train-mlogloss:0.345500+0.009458 test-mlogloss:0.609593+0.027145
## [25] train-mlogloss:0.340375+0.010105 test-mlogloss:0.610868+0.027364
## [26] train-mlogloss:0.335790+0.010374 test-mlogloss:0.613066+0.028494
## [27] train-mlogloss:0.331774+0.010475 test-mlogloss:0.617120+0.028739
## [28] train-mlogloss:0.327504+0.009512 test-mlogloss:0.619730+0.029727
## [29] train-mlogloss:0.321354+0.009355 test-mlogloss:0.620732+0.030225
## [30] train-mlogloss:0.316040+0.010124 test-mlogloss:0.623547+0.030140
## [31] train-mlogloss:0.309433+0.009807 test-mlogloss:0.626250+0.030103
## [32] train-mlogloss:0.305005+0.010194 test-mlogloss:0.627929+0.029548
## [33] train-mlogloss:0.299631+0.010269 test-mlogloss:0.630718+0.031198
## [34] train-mlogloss:0.295301+0.010763 test-mlogloss:0.632630+0.030860
## [35] train-mlogloss:0.291140+0.011089 test-mlogloss:0.636374+0.032364
## [36] train-mlogloss:0.288475+0.010680 test-mlogloss:0.636774+0.031991
## [37] train-mlogloss:0.284057+0.010934 test-mlogloss:0.639389+0.033643
## [38] train-mlogloss:0.278681+0.012259 test-mlogloss:0.642446+0.033521
## [39] train-mlogloss:0.274561+0.014068 test-mlogloss:0.644387+0.033460
## [40] train-mlogloss:0.271753+0.015191 test-mlogloss:0.645631+0.034241
## [41] train-mlogloss:0.267811+0.016172 test-mlogloss:0.648314+0.034784
## [42] train-mlogloss:0.261755+0.016092 test-mlogloss:0.650469+0.034477
## [43] train-mlogloss:0.258611+0.016011 test-mlogloss:0.652079+0.034625
## [44] train-mlogloss:0.255782+0.015643 test-mlogloss:0.652812+0.033949
## [45] train-mlogloss:0.252337+0.013616 test-mlogloss:0.655158+0.033751
## [46] train-mlogloss:0.249862+0.014021 test-mlogloss:0.657745+0.033082
## [47] train-mlogloss:0.246189+0.014043 test-mlogloss:0.660730+0.031922
## [48] train-mlogloss:0.241842+0.012191 test-mlogloss:0.663556+0.030581
## [49] train-mlogloss:0.237063+0.011767 test-mlogloss:0.664561+0.030088
## [50] train-mlogloss:0.232566+0.012500 test-mlogloss:0.666328+0.028705
## [51] train-mlogloss:0.228709+0.012286 test-mlogloss:0.668431+0.027379
## [52] train-mlogloss:0.224458+0.012054 test-mlogloss:0.671257+0.028182
## [53] train-mlogloss:0.221262+0.012223 test-mlogloss:0.672350+0.028521
## [54] train-mlogloss:0.218543+0.011630 test-mlogloss:0.673481+0.029682
## [55] train-mlogloss:0.214715+0.011043 test-mlogloss:0.676290+0.028986
## [56] train-mlogloss:0.211843+0.010966 test-mlogloss:0.678249+0.029364
## [57] train-mlogloss:0.208571+0.010828 test-mlogloss:0.680124+0.030059
## [58] train-mlogloss:0.206238+0.010533 test-mlogloss:0.682342+0.030846
## [59] train-mlogloss:0.202860+0.010635 test-mlogloss:0.684467+0.032335
## [60] train-mlogloss:0.198943+0.011598 test-mlogloss:0.688306+0.033021
## [61] train-mlogloss:0.195042+0.010922 test-mlogloss:0.690391+0.032380
## [62] train-mlogloss:0.191419+0.010821 test-mlogloss:0.692911+0.032693
## [63] train-mlogloss:0.187919+0.010632 test-mlogloss:0.694509+0.032108
## [64] train-mlogloss:0.185246+0.010729 test-mlogloss:0.696984+0.032861
## [65] train-mlogloss:0.181764+0.010703 test-mlogloss:0.701591+0.031798
## [66] train-mlogloss:0.179554+0.010064 test-mlogloss:0.702154+0.031971
## [67] train-mlogloss:0.176611+0.010427 test-mlogloss:0.704593+0.031654
## [68] train-mlogloss:0.174209+0.010590 test-mlogloss:0.708543+0.033417
## [69] train-mlogloss:0.171612+0.010727 test-mlogloss:0.710458+0.034601
## [70] train-mlogloss:0.168896+0.010185 test-mlogloss:0.713323+0.034097
## [71] train-mlogloss:0.166114+0.010069 test-mlogloss:0.714319+0.033383
## [72] train-mlogloss:0.163799+0.010505 test-mlogloss:0.716307+0.034652
## [73] train-mlogloss:0.161272+0.011410 test-mlogloss:0.717859+0.035465
## [74] train-mlogloss:0.159078+0.010809 test-mlogloss:0.721487+0.033002
## [75] train-mlogloss:0.156829+0.010336 test-mlogloss:0.724072+0.034032
## [76] train-mlogloss:0.154679+0.009501 test-mlogloss:0.726574+0.034368
## [77] train-mlogloss:0.152147+0.009290 test-mlogloss:0.729020+0.035458
## [78] train-mlogloss:0.150295+0.008979 test-mlogloss:0.730342+0.035419
## [79] train-mlogloss:0.148265+0.008228 test-mlogloss:0.731572+0.036017
## [80] train-mlogloss:0.145911+0.008403 test-mlogloss:0.734887+0.037274
## [81] train-mlogloss:0.143640+0.008482 test-mlogloss:0.738043+0.036055
## [82] train-mlogloss:0.141304+0.008111 test-mlogloss:0.739043+0.036533
## [83] train-mlogloss:0.139188+0.007640 test-mlogloss:0.741378+0.035606
## [84] train-mlogloss:0.137143+0.007493 test-mlogloss:0.743638+0.035842
## [85] train-mlogloss:0.134695+0.008029 test-mlogloss:0.745991+0.036524
## [86] train-mlogloss:0.132997+0.008468 test-mlogloss:0.747316+0.036750
## [87] train-mlogloss:0.130824+0.007722 test-mlogloss:0.749680+0.036910
## [88] train-mlogloss:0.128560+0.006963 test-mlogloss:0.752824+0.037236
## [89] train-mlogloss:0.126961+0.006448 test-mlogloss:0.754060+0.036926
## [90] train-mlogloss:0.125583+0.006051 test-mlogloss:0.755918+0.036255
## [91] train-mlogloss:0.123235+0.006144 test-mlogloss:0.758157+0.034954
## [92] train-mlogloss:0.121054+0.006044 test-mlogloss:0.760909+0.034570
## [93] train-mlogloss:0.119798+0.005918 test-mlogloss:0.762473+0.035032
## [94] train-mlogloss:0.117999+0.005851 test-mlogloss:0.763919+0.035212
## [95] train-mlogloss:0.116041+0.006012 test-mlogloss:0.765643+0.036481
## [96] train-mlogloss:0.114166+0.005827 test-mlogloss:0.768593+0.036769
## [97] train-mlogloss:0.112498+0.006005 test-mlogloss:0.772189+0.036591
## [98] train-mlogloss:0.110911+0.006416 test-mlogloss:0.774109+0.037033
## [99] train-mlogloss:0.109235+0.006232 test-mlogloss:0.775630+0.036640
## [100] train-mlogloss:0.107301+0.006093 test-mlogloss:0.777774+0.036870
## [101] train-mlogloss:0.105834+0.005537 test-mlogloss:0.778897+0.037546
## [102] train-mlogloss:0.104827+0.005293 test-mlogloss:0.781032+0.038244
## [103] train-mlogloss:0.103725+0.005070 test-mlogloss:0.783299+0.039295
## [104] train-mlogloss:0.102240+0.004730 test-mlogloss:0.785342+0.039185
## [105] train-mlogloss:0.100653+0.004503 test-mlogloss:0.789682+0.039634
## [106] train-mlogloss:0.099504+0.004464 test-mlogloss:0.792012+0.040269
## [107] train-mlogloss:0.098339+0.004276 test-mlogloss:0.793697+0.040588
## [108] train-mlogloss:0.097143+0.004212 test-mlogloss:0.795882+0.039249
## [109] train-mlogloss:0.095071+0.004564 test-mlogloss:0.797494+0.039329
## [110] train-mlogloss:0.093989+0.004563 test-mlogloss:0.799158+0.039421
## [111] train-mlogloss:0.092846+0.004433 test-mlogloss:0.800339+0.039090
## [112] train-mlogloss:0.091870+0.004568 test-mlogloss:0.803631+0.039869
## [113] train-mlogloss:0.090834+0.004341 test-mlogloss:0.804486+0.039951
## [114] train-mlogloss:0.089726+0.004313 test-mlogloss:0.806484+0.041962
## [115] train-mlogloss:0.088636+0.004472 test-mlogloss:0.807557+0.042322
## [116] train-mlogloss:0.087405+0.004036 test-mlogloss:0.809122+0.041873
## [117] train-mlogloss:0.086190+0.004181 test-mlogloss:0.811083+0.041324
## [118] train-mlogloss:0.084939+0.004359 test-mlogloss:0.811806+0.042087
## [119] train-mlogloss:0.083626+0.004715 test-mlogloss:0.813849+0.043010
## [120] train-mlogloss:0.082728+0.004607 test-mlogloss:0.814259+0.042996
## [121] train-mlogloss:0.081955+0.004307 test-mlogloss:0.814898+0.043251
## [122] train-mlogloss:0.080568+0.004082 test-mlogloss:0.817574+0.042785
## [123] train-mlogloss:0.079882+0.004124 test-mlogloss:0.818837+0.042488
## [124] train-mlogloss:0.078980+0.003958 test-mlogloss:0.822227+0.041954
## [125] train-mlogloss:0.077953+0.003970 test-mlogloss:0.824085+0.041733
## [126] train-mlogloss:0.077026+0.003855 test-mlogloss:0.826695+0.040986
## [127] train-mlogloss:0.076130+0.003825 test-mlogloss:0.828051+0.042856
## [128] train-mlogloss:0.074954+0.004080 test-mlogloss:0.830058+0.042606
## [129] train-mlogloss:0.074137+0.004047 test-mlogloss:0.830820+0.041493
## [130] train-mlogloss:0.073428+0.004218 test-mlogloss:0.832474+0.041516
## [131] train-mlogloss:0.072670+0.004251 test-mlogloss:0.834125+0.041075
## [132] train-mlogloss:0.072027+0.004287 test-mlogloss:0.835195+0.040163
## [133] train-mlogloss:0.071009+0.003986 test-mlogloss:0.837049+0.040650
## [134] train-mlogloss:0.069951+0.004046 test-mlogloss:0.840163+0.040994
## [135] train-mlogloss:0.068914+0.004061 test-mlogloss:0.843555+0.040488
## [136] train-mlogloss:0.067959+0.003555 test-mlogloss:0.844998+0.040156
## [137] train-mlogloss:0.067201+0.003876 test-mlogloss:0.844954+0.039805
## [138] train-mlogloss:0.066385+0.004095 test-mlogloss:0.846587+0.039434
## [139] train-mlogloss:0.065602+0.004170 test-mlogloss:0.849284+0.039783
## [140] train-mlogloss:0.064755+0.004096 test-mlogloss:0.851580+0.040248
## [141] train-mlogloss:0.063873+0.003623 test-mlogloss:0.854046+0.040567
## [142] train-mlogloss:0.063250+0.003184 test-mlogloss:0.855765+0.040164
## [143] train-mlogloss:0.062427+0.003000 test-mlogloss:0.856725+0.038946
## [144] train-mlogloss:0.061936+0.002888 test-mlogloss:0.857314+0.038669
## [145] train-mlogloss:0.061414+0.002543 test-mlogloss:0.859343+0.038170
## [146] train-mlogloss:0.060864+0.002501 test-mlogloss:0.859948+0.038240
## [147] train-mlogloss:0.060308+0.002345 test-mlogloss:0.861423+0.037651
## [148] train-mlogloss:0.059739+0.002248 test-mlogloss:0.862697+0.037549
## [149] train-mlogloss:0.058889+0.002229 test-mlogloss:0.863973+0.036920
## [150] train-mlogloss:0.058290+0.002527 test-mlogloss:0.865413+0.037664
## [151] train-mlogloss:0.057648+0.002373 test-mlogloss:0.866153+0.036739
## [152] train-mlogloss:0.056902+0.002269 test-mlogloss:0.868770+0.036679
## [153] train-mlogloss:0.056063+0.002119 test-mlogloss:0.871198+0.036092
## [154] train-mlogloss:0.055240+0.001928 test-mlogloss:0.873335+0.036630
## [155] train-mlogloss:0.054778+0.001957 test-mlogloss:0.873838+0.036792
## [156] train-mlogloss:0.054157+0.001834 test-mlogloss:0.875098+0.036493
## [157] train-mlogloss:0.053542+0.001771 test-mlogloss:0.876909+0.036616
## [158] train-mlogloss:0.053055+0.001615 test-mlogloss:0.877926+0.035497
## [159] train-mlogloss:0.052455+0.001597 test-mlogloss:0.879390+0.035908
## [160] train-mlogloss:0.051856+0.001486 test-mlogloss:0.881066+0.036400
## [161] train-mlogloss:0.051258+0.001369 test-mlogloss:0.881198+0.037044
## [162] train-mlogloss:0.050716+0.001069 test-mlogloss:0.883760+0.035498
## [163] train-mlogloss:0.050078+0.000844 test-mlogloss:0.885740+0.035591
## [164] train-mlogloss:0.049516+0.000968 test-mlogloss:0.887921+0.035660
## [165] train-mlogloss:0.049012+0.001023 test-mlogloss:0.889832+0.036519
## [166] train-mlogloss:0.048487+0.001047 test-mlogloss:0.891140+0.036800
## [167] train-mlogloss:0.047912+0.001138 test-mlogloss:0.891829+0.036053
## [168] train-mlogloss:0.047411+0.001200 test-mlogloss:0.893480+0.036595
## [169] train-mlogloss:0.046762+0.001297 test-mlogloss:0.895216+0.036463
## [170] train-mlogloss:0.046237+0.001373 test-mlogloss:0.896956+0.037179
## [171] train-mlogloss:0.045713+0.001532 test-mlogloss:0.899097+0.037423
## [172] train-mlogloss:0.045310+0.001621 test-mlogloss:0.901174+0.037933
## [173] train-mlogloss:0.044968+0.001550 test-mlogloss:0.901508+0.037343
## [174] train-mlogloss:0.044609+0.001624 test-mlogloss:0.903849+0.038924
## [175] train-mlogloss:0.044106+0.001697 test-mlogloss:0.905803+0.040044
## [176] train-mlogloss:0.043646+0.001665 test-mlogloss:0.905810+0.039243
## [177] train-mlogloss:0.043267+0.001661 test-mlogloss:0.907345+0.039497
## [178] train-mlogloss:0.042869+0.001585 test-mlogloss:0.908936+0.038913
## [179] train-mlogloss:0.042685+0.001444 test-mlogloss:0.908940+0.039089
## [180] train-mlogloss:0.042323+0.001209 test-mlogloss:0.910322+0.039220
## [181] train-mlogloss:0.041856+0.001137 test-mlogloss:0.912301+0.038838
## [182] train-mlogloss:0.041472+0.001204 test-mlogloss:0.912879+0.039264
## [183] train-mlogloss:0.041131+0.001146 test-mlogloss:0.913214+0.039991
## [184] train-mlogloss:0.040504+0.001073 test-mlogloss:0.914213+0.038335
## [185] train-mlogloss:0.040214+0.001095 test-mlogloss:0.914515+0.038139
## [186] train-mlogloss:0.040019+0.001051 test-mlogloss:0.914934+0.037736
## [187] train-mlogloss:0.039610+0.000900 test-mlogloss:0.916246+0.038084
## [188] train-mlogloss:0.039248+0.000859 test-mlogloss:0.916424+0.038108
## [189] train-mlogloss:0.038814+0.000894 test-mlogloss:0.917897+0.037700
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## [191] train-mlogloss:0.038248+0.000928 test-mlogloss:0.920688+0.038975
## [192] train-mlogloss:0.038036+0.000872 test-mlogloss:0.921483+0.038686
## [193] train-mlogloss:0.037813+0.000893 test-mlogloss:0.922104+0.038473
## [194] train-mlogloss:0.037404+0.000896 test-mlogloss:0.924380+0.038258
## [195] train-mlogloss:0.037137+0.000849 test-mlogloss:0.925492+0.038057
## [196] train-mlogloss:0.036840+0.000803 test-mlogloss:0.925219+0.037773
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## [198] train-mlogloss:0.036269+0.000855 test-mlogloss:0.927309+0.037520
## [199] train-mlogloss:0.036019+0.000882 test-mlogloss:0.929106+0.037174
## [200] train-mlogloss:0.035686+0.001003 test-mlogloss:0.930704+0.038242
## [201] train-mlogloss:0.035255+0.001043 test-mlogloss:0.931867+0.038145
## [202] train-mlogloss:0.034879+0.001054 test-mlogloss:0.933052+0.037681
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## [204] train-mlogloss:0.034067+0.001019 test-mlogloss:0.937053+0.037617
## [205] train-mlogloss:0.033652+0.000958 test-mlogloss:0.938431+0.037931
## [206] train-mlogloss:0.033288+0.000914 test-mlogloss:0.940014+0.038039
## [207] train-mlogloss:0.032984+0.000932 test-mlogloss:0.940175+0.036121
## [208] train-mlogloss:0.032802+0.000876 test-mlogloss:0.940504+0.036380
## [209] train-mlogloss:0.032544+0.000781 test-mlogloss:0.941240+0.037175
## [210] train-mlogloss:0.032360+0.000721 test-mlogloss:0.941518+0.037482
## [211] train-mlogloss:0.032227+0.000666 test-mlogloss:0.942439+0.036825
## [212] train-mlogloss:0.031987+0.000676 test-mlogloss:0.943664+0.036306
## [213] train-mlogloss:0.031742+0.000585 test-mlogloss:0.945361+0.035205
## [214] train-mlogloss:0.031564+0.000616 test-mlogloss:0.946336+0.035599
## [215] train-mlogloss:0.031276+0.000585 test-mlogloss:0.947589+0.034933
## [216] train-mlogloss:0.031022+0.000532 test-mlogloss:0.949187+0.035238
## [217] train-mlogloss:0.030764+0.000481 test-mlogloss:0.949613+0.035223
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## [219] train-mlogloss:0.030383+0.000474 test-mlogloss:0.950906+0.036354
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## [222] train-mlogloss:0.029658+0.000544 test-mlogloss:0.953014+0.036766
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## [224] train-mlogloss:0.029299+0.000572 test-mlogloss:0.954388+0.037283
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## [226] train-mlogloss:0.028970+0.000565 test-mlogloss:0.956687+0.037678
## [227] train-mlogloss:0.028719+0.000447 test-mlogloss:0.957612+0.038193
## [228] train-mlogloss:0.028501+0.000410 test-mlogloss:0.957530+0.038022
## [229] train-mlogloss:0.028297+0.000385 test-mlogloss:0.958067+0.037888
## [230] train-mlogloss:0.028125+0.000359 test-mlogloss:0.958657+0.038421
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## [234] train-mlogloss:0.027383+0.000370 test-mlogloss:0.964422+0.037861
## [235] train-mlogloss:0.027163+0.000414 test-mlogloss:0.965789+0.037885
## [236] train-mlogloss:0.026988+0.000490 test-mlogloss:0.966647+0.038682
## [237] train-mlogloss:0.026777+0.000516 test-mlogloss:0.968400+0.039074
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## [239] train-mlogloss:0.026387+0.000443 test-mlogloss:0.970540+0.040515
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## [243] train-mlogloss:0.025490+0.000661 test-mlogloss:0.974029+0.039696
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## [247] train-mlogloss:0.024866+0.000820 test-mlogloss:0.977501+0.041745
## [248] train-mlogloss:0.024724+0.000821 test-mlogloss:0.978291+0.040949
## [249] train-mlogloss:0.024647+0.000839 test-mlogloss:0.978263+0.040893
## [250] train-mlogloss:0.024500+0.000891 test-mlogloss:0.979007+0.039799
## [251] train-mlogloss:0.024339+0.000861 test-mlogloss:0.979841+0.039598
## [252] train-mlogloss:0.024224+0.000853 test-mlogloss:0.980565+0.040213
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## [254] train-mlogloss:0.023903+0.000851 test-mlogloss:0.982562+0.040855
## [255] train-mlogloss:0.023809+0.000880 test-mlogloss:0.982833+0.041118
## [256] train-mlogloss:0.023638+0.000856 test-mlogloss:0.983429+0.041003
## [257] train-mlogloss:0.023498+0.000849 test-mlogloss:0.984473+0.040895
## [258] train-mlogloss:0.023394+0.000858 test-mlogloss:0.985420+0.040917
## [259] train-mlogloss:0.023267+0.000891 test-mlogloss:0.986356+0.041268
## [260] train-mlogloss:0.023123+0.000914 test-mlogloss:0.986235+0.041346
## [261] train-mlogloss:0.022920+0.000906 test-mlogloss:0.986900+0.042727
## [262] train-mlogloss:0.022789+0.000872 test-mlogloss:0.988321+0.043058
## [263] train-mlogloss:0.022680+0.000931 test-mlogloss:0.989137+0.043385
## [264] train-mlogloss:0.022516+0.000941 test-mlogloss:0.990413+0.044000
## [265] train-mlogloss:0.022334+0.000909 test-mlogloss:0.991227+0.043939
## [266] train-mlogloss:0.022195+0.000864 test-mlogloss:0.992824+0.044430
## [267] train-mlogloss:0.022055+0.000794 test-mlogloss:0.993684+0.044456
## [268] train-mlogloss:0.021852+0.000779 test-mlogloss:0.994661+0.043746
## [269] train-mlogloss:0.021659+0.000772 test-mlogloss:0.995319+0.044428
## [270] train-mlogloss:0.021536+0.000774 test-mlogloss:0.996849+0.044113
## [271] train-mlogloss:0.021424+0.000752 test-mlogloss:0.997176+0.043775
## [272] train-mlogloss:0.021308+0.000733 test-mlogloss:0.998436+0.044281
## [273] train-mlogloss:0.021208+0.000763 test-mlogloss:0.998833+0.044847
## [274] train-mlogloss:0.021045+0.000759 test-mlogloss:1.000941+0.044581
## [275] train-mlogloss:0.020918+0.000718 test-mlogloss:1.001357+0.043989
## [276] train-mlogloss:0.020804+0.000706 test-mlogloss:1.001792+0.044878
## [277] train-mlogloss:0.020614+0.000696 test-mlogloss:1.003039+0.045009
## [278] train-mlogloss:0.020437+0.000661 test-mlogloss:1.004203+0.044857
## [279] train-mlogloss:0.020312+0.000679 test-mlogloss:1.004615+0.044115
## [280] train-mlogloss:0.020185+0.000638 test-mlogloss:1.005775+0.044078
## [281] train-mlogloss:0.020053+0.000645 test-mlogloss:1.006516+0.044140
## [282] train-mlogloss:0.019942+0.000676 test-mlogloss:1.007149+0.044629
## [283] train-mlogloss:0.019829+0.000667 test-mlogloss:1.008050+0.044050
## [284] train-mlogloss:0.019681+0.000678 test-mlogloss:1.009369+0.044350
## [285] train-mlogloss:0.019558+0.000721 test-mlogloss:1.010670+0.044344
## [286] train-mlogloss:0.019417+0.000719 test-mlogloss:1.011302+0.044556
## [287] train-mlogloss:0.019326+0.000716 test-mlogloss:1.012312+0.044608
## [288] train-mlogloss:0.019252+0.000720 test-mlogloss:1.012735+0.044974
## [289] train-mlogloss:0.019172+0.000698 test-mlogloss:1.013999+0.044887
## [290] train-mlogloss:0.019083+0.000687 test-mlogloss:1.014188+0.044756
## [291] train-mlogloss:0.018967+0.000682 test-mlogloss:1.015316+0.044747
## [292] train-mlogloss:0.018910+0.000681 test-mlogloss:1.016025+0.045207
## [293] train-mlogloss:0.018830+0.000691 test-mlogloss:1.016677+0.045388
## [294] train-mlogloss:0.018728+0.000689 test-mlogloss:1.017608+0.044790
## [295] train-mlogloss:0.018620+0.000681 test-mlogloss:1.019459+0.043959
## [296] train-mlogloss:0.018524+0.000719 test-mlogloss:1.019868+0.044198
## [297] train-mlogloss:0.018427+0.000709 test-mlogloss:1.020934+0.044316
## [298] train-mlogloss:0.018364+0.000692 test-mlogloss:1.021824+0.044118
## [299] train-mlogloss:0.018265+0.000688 test-mlogloss:1.022875+0.044624
## [300] train-mlogloss:0.018160+0.000711 test-mlogloss:1.023322+0.044559
## [301] train-mlogloss:0.018078+0.000705 test-mlogloss:1.023904+0.044765
## [302] train-mlogloss:0.018018+0.000712 test-mlogloss:1.024486+0.044703
## [303] train-mlogloss:0.017932+0.000725 test-mlogloss:1.026303+0.045462
## [304] train-mlogloss:0.017839+0.000752 test-mlogloss:1.026887+0.045470
## [305] train-mlogloss:0.017759+0.000768 test-mlogloss:1.026666+0.045808
## [306] train-mlogloss:0.017662+0.000788 test-mlogloss:1.027587+0.045911
## [307] train-mlogloss:0.017588+0.000801 test-mlogloss:1.028429+0.046306
## [308] train-mlogloss:0.017497+0.000788 test-mlogloss:1.029404+0.046252
## [309] train-mlogloss:0.017408+0.000781 test-mlogloss:1.030850+0.046639
## [310] train-mlogloss:0.017291+0.000765 test-mlogloss:1.031531+0.046793
## [311] train-mlogloss:0.017226+0.000766 test-mlogloss:1.032479+0.046577
## [312] train-mlogloss:0.017120+0.000766 test-mlogloss:1.034013+0.047159
## [313] train-mlogloss:0.017028+0.000758 test-mlogloss:1.034770+0.046869
## [314] train-mlogloss:0.016910+0.000713 test-mlogloss:1.035700+0.046911
## [315] train-mlogloss:0.016838+0.000712 test-mlogloss:1.036427+0.047153
## [316] train-mlogloss:0.016708+0.000693 test-mlogloss:1.036751+0.047720
## [317] train-mlogloss:0.016645+0.000681 test-mlogloss:1.037300+0.047521
## [318] train-mlogloss:0.016572+0.000687 test-mlogloss:1.038316+0.047927
## [319] train-mlogloss:0.016475+0.000687 test-mlogloss:1.039232+0.047894
## [320] train-mlogloss:0.016377+0.000665 test-mlogloss:1.040723+0.048440
## [321] train-mlogloss:0.016274+0.000633 test-mlogloss:1.042045+0.048737
## [322] train-mlogloss:0.016169+0.000607 test-mlogloss:1.042920+0.049140
## [323] train-mlogloss:0.016077+0.000651 test-mlogloss:1.043936+0.049088
## [324] train-mlogloss:0.015995+0.000688 test-mlogloss:1.044948+0.049937
## [325] train-mlogloss:0.015922+0.000700 test-mlogloss:1.045830+0.050576
## [326] train-mlogloss:0.015815+0.000694 test-mlogloss:1.046913+0.050329
## [327] train-mlogloss:0.015739+0.000693 test-mlogloss:1.046803+0.050915
## [328] train-mlogloss:0.015672+0.000691 test-mlogloss:1.047333+0.050626
## [329] train-mlogloss:0.015607+0.000684 test-mlogloss:1.048027+0.051106
## [330] train-mlogloss:0.015535+0.000708 test-mlogloss:1.048624+0.051263
## [331] train-mlogloss:0.015444+0.000736 test-mlogloss:1.049372+0.051101
## [332] train-mlogloss:0.015365+0.000744 test-mlogloss:1.050534+0.050800
## [333] train-mlogloss:0.015296+0.000731 test-mlogloss:1.051054+0.050966
## [334] train-mlogloss:0.015209+0.000734 test-mlogloss:1.051906+0.050748
## [335] train-mlogloss:0.015135+0.000728 test-mlogloss:1.052374+0.050683
## [336] train-mlogloss:0.015036+0.000720 test-mlogloss:1.052565+0.050679
## [337] train-mlogloss:0.014979+0.000714 test-mlogloss:1.053183+0.050044
## [338] train-mlogloss:0.014896+0.000718 test-mlogloss:1.053946+0.050151
## [339] train-mlogloss:0.014795+0.000719 test-mlogloss:1.054753+0.050547
## [340] train-mlogloss:0.014717+0.000690 test-mlogloss:1.055505+0.050614
## [341] train-mlogloss:0.014670+0.000688 test-mlogloss:1.056316+0.050890
## [342] train-mlogloss:0.014595+0.000670 test-mlogloss:1.057219+0.050986
## [343] train-mlogloss:0.014530+0.000650 test-mlogloss:1.057650+0.051277
## [344] train-mlogloss:0.014461+0.000632 test-mlogloss:1.058117+0.050923
## [345] train-mlogloss:0.014370+0.000609 test-mlogloss:1.059080+0.050641
## [346] train-mlogloss:0.014300+0.000609 test-mlogloss:1.059720+0.050581
## [347] train-mlogloss:0.014226+0.000603 test-mlogloss:1.060447+0.050766
## [348] train-mlogloss:0.014151+0.000594 test-mlogloss:1.061488+0.050731
## [349] train-mlogloss:0.014070+0.000579 test-mlogloss:1.062372+0.050911
## [350] train-mlogloss:0.014011+0.000588 test-mlogloss:1.062860+0.050978
## [351] train-mlogloss:0.013955+0.000586 test-mlogloss:1.062837+0.051003
## [352] train-mlogloss:0.013899+0.000580 test-mlogloss:1.063867+0.051176
## [353] train-mlogloss:0.013819+0.000553 test-mlogloss:1.064754+0.050937
## [354] train-mlogloss:0.013748+0.000553 test-mlogloss:1.065175+0.050773
## [355] train-mlogloss:0.013697+0.000528 test-mlogloss:1.066246+0.050283
## [356] train-mlogloss:0.013590+0.000532 test-mlogloss:1.068852+0.050999
## [357] train-mlogloss:0.013505+0.000539 test-mlogloss:1.069509+0.050890
## [358] train-mlogloss:0.013430+0.000555 test-mlogloss:1.069920+0.051301
## [359] train-mlogloss:0.013380+0.000543 test-mlogloss:1.069985+0.051639
## [360] train-mlogloss:0.013308+0.000540 test-mlogloss:1.070975+0.051920
## [361] train-mlogloss:0.013271+0.000544 test-mlogloss:1.071672+0.051317
## [362] train-mlogloss:0.013212+0.000543 test-mlogloss:1.072483+0.050828
## [363] train-mlogloss:0.013164+0.000529 test-mlogloss:1.072829+0.050956
## [364] train-mlogloss:0.013114+0.000525 test-mlogloss:1.073902+0.050480
## [365] train-mlogloss:0.013062+0.000537 test-mlogloss:1.074457+0.050711
## [366] train-mlogloss:0.013012+0.000536 test-mlogloss:1.074224+0.051116
## [367] train-mlogloss:0.012956+0.000533 test-mlogloss:1.075299+0.051778
## [368] train-mlogloss:0.012895+0.000533 test-mlogloss:1.075940+0.051564
## [369] train-mlogloss:0.012837+0.000539 test-mlogloss:1.076093+0.051342
## [370] train-mlogloss:0.012770+0.000538 test-mlogloss:1.076870+0.051390
## [371] train-mlogloss:0.012705+0.000531 test-mlogloss:1.077260+0.050608
## [372] train-mlogloss:0.012628+0.000515 test-mlogloss:1.077554+0.050158
## [373] train-mlogloss:0.012580+0.000492 test-mlogloss:1.078497+0.050484
## [374] train-mlogloss:0.012531+0.000484 test-mlogloss:1.079486+0.049952
## [375] train-mlogloss:0.012483+0.000476 test-mlogloss:1.080066+0.049760
## [376] train-mlogloss:0.012420+0.000454 test-mlogloss:1.080999+0.049270
## [377] train-mlogloss:0.012379+0.000458 test-mlogloss:1.080899+0.049827
## [378] train-mlogloss:0.012316+0.000464 test-mlogloss:1.081797+0.050535
## [379] train-mlogloss:0.012248+0.000483 test-mlogloss:1.083004+0.051051
## [380] train-mlogloss:0.012185+0.000490 test-mlogloss:1.084410+0.051173
## [381] train-mlogloss:0.012132+0.000472 test-mlogloss:1.085010+0.051090
## [382] train-mlogloss:0.012097+0.000470 test-mlogloss:1.085895+0.050894
## [383] train-mlogloss:0.012052+0.000456 test-mlogloss:1.086392+0.050013
## [384] train-mlogloss:0.012014+0.000455 test-mlogloss:1.087128+0.049856
## [385] train-mlogloss:0.011986+0.000454 test-mlogloss:1.087617+0.049866
## [386] train-mlogloss:0.011944+0.000453 test-mlogloss:1.088067+0.050181
## [387] train-mlogloss:0.011889+0.000459 test-mlogloss:1.088672+0.049864
## [388] train-mlogloss:0.011838+0.000461 test-mlogloss:1.089739+0.049832
## [389] train-mlogloss:0.011804+0.000458 test-mlogloss:1.090284+0.049903
## [390] train-mlogloss:0.011753+0.000440 test-mlogloss:1.090542+0.050121
## [391] train-mlogloss:0.011721+0.000431 test-mlogloss:1.090895+0.050159
## [392] train-mlogloss:0.011674+0.000429 test-mlogloss:1.091534+0.049921
## [393] train-mlogloss:0.011633+0.000430 test-mlogloss:1.092146+0.050038
## [394] train-mlogloss:0.011590+0.000423 test-mlogloss:1.092637+0.050649
## [395] train-mlogloss:0.011540+0.000396 test-mlogloss:1.093172+0.050739
## [396] train-mlogloss:0.011491+0.000400 test-mlogloss:1.093512+0.050619
## [397] train-mlogloss:0.011431+0.000409 test-mlogloss:1.094813+0.050960
## [398] train-mlogloss:0.011387+0.000427 test-mlogloss:1.095568+0.051122
## [399] train-mlogloss:0.011336+0.000426 test-mlogloss:1.096240+0.051551
## [400] train-mlogloss:0.011294+0.000431 test-mlogloss:1.097392+0.051286
## [401] train-mlogloss:0.011255+0.000421 test-mlogloss:1.098457+0.051154
## [402] train-mlogloss:0.011215+0.000419 test-mlogloss:1.099285+0.051042
## [403] train-mlogloss:0.011164+0.000421 test-mlogloss:1.099856+0.050536
## [404] train-mlogloss:0.011118+0.000425 test-mlogloss:1.100511+0.050586
## [405] train-mlogloss:0.011067+0.000407 test-mlogloss:1.101224+0.050728
## [406] train-mlogloss:0.011019+0.000394 test-mlogloss:1.101414+0.050695
## [407] train-mlogloss:0.010975+0.000403 test-mlogloss:1.102409+0.050928
## [408] train-mlogloss:0.010922+0.000405 test-mlogloss:1.102938+0.051467
## [409] train-mlogloss:0.010892+0.000402 test-mlogloss:1.103458+0.050918
## [410] train-mlogloss:0.010849+0.000391 test-mlogloss:1.104233+0.051463
## [411] train-mlogloss:0.010812+0.000382 test-mlogloss:1.104642+0.051095
## [412] train-mlogloss:0.010767+0.000371 test-mlogloss:1.105086+0.051385
## [413] train-mlogloss:0.010722+0.000390 test-mlogloss:1.105446+0.051610
## [414] train-mlogloss:0.010678+0.000393 test-mlogloss:1.106375+0.051952
## [415] train-mlogloss:0.010639+0.000385 test-mlogloss:1.106599+0.051597
## [416] train-mlogloss:0.010603+0.000378 test-mlogloss:1.107736+0.051312
## [417] train-mlogloss:0.010556+0.000376 test-mlogloss:1.108381+0.051456
## [418] train-mlogloss:0.010516+0.000373 test-mlogloss:1.108865+0.051597
## [419] train-mlogloss:0.010483+0.000366 test-mlogloss:1.109713+0.051573
## [420] train-mlogloss:0.010440+0.000358 test-mlogloss:1.109903+0.051625
## [421] train-mlogloss:0.010412+0.000355 test-mlogloss:1.110728+0.051268
## [422] train-mlogloss:0.010377+0.000357 test-mlogloss:1.111533+0.051677
## [423] train-mlogloss:0.010338+0.000363 test-mlogloss:1.112641+0.052013
## [424] train-mlogloss:0.010283+0.000349 test-mlogloss:1.112888+0.051580
## [425] train-mlogloss:0.010248+0.000349 test-mlogloss:1.113416+0.051800
## [426] train-mlogloss:0.010199+0.000329 test-mlogloss:1.114457+0.051834
## [427] train-mlogloss:0.010146+0.000330 test-mlogloss:1.114370+0.051394
## [428] train-mlogloss:0.010114+0.000334 test-mlogloss:1.115099+0.051569
## [429] train-mlogloss:0.010080+0.000334 test-mlogloss:1.115565+0.051642
## [430] train-mlogloss:0.010050+0.000326 test-mlogloss:1.116472+0.051296
## [431] train-mlogloss:0.010014+0.000308 test-mlogloss:1.117443+0.050929
## [432] train-mlogloss:0.009978+0.000298 test-mlogloss:1.118034+0.051436
## [433] train-mlogloss:0.009936+0.000288 test-mlogloss:1.118592+0.051467
## [434] train-mlogloss:0.009912+0.000281 test-mlogloss:1.118860+0.050790
## [435] train-mlogloss:0.009871+0.000280 test-mlogloss:1.120089+0.050643
## [436] train-mlogloss:0.009842+0.000278 test-mlogloss:1.120438+0.050442
## [437] train-mlogloss:0.009812+0.000283 test-mlogloss:1.120734+0.050574
## [438] train-mlogloss:0.009769+0.000283 test-mlogloss:1.121705+0.050968
## [439] train-mlogloss:0.009739+0.000277 test-mlogloss:1.122032+0.050594
## [440] train-mlogloss:0.009707+0.000278 test-mlogloss:1.122983+0.050912
## [441] train-mlogloss:0.009673+0.000283 test-mlogloss:1.123392+0.050479
## [442] train-mlogloss:0.009639+0.000276 test-mlogloss:1.123466+0.050736
## [443] train-mlogloss:0.009608+0.000280 test-mlogloss:1.123975+0.050529
## [444] train-mlogloss:0.009574+0.000282 test-mlogloss:1.124549+0.050147
## [445] train-mlogloss:0.009541+0.000273 test-mlogloss:1.124691+0.050145
## [446] train-mlogloss:0.009508+0.000271 test-mlogloss:1.125708+0.050024
## [447] train-mlogloss:0.009481+0.000263 test-mlogloss:1.126220+0.050254
## [448] train-mlogloss:0.009458+0.000267 test-mlogloss:1.127050+0.050231
## [449] train-mlogloss:0.009425+0.000277 test-mlogloss:1.127879+0.049864
## [450] train-mlogloss:0.009393+0.000275 test-mlogloss:1.128090+0.049931
## [451] train-mlogloss:0.009363+0.000271 test-mlogloss:1.129073+0.049785
## [452] train-mlogloss:0.009329+0.000253 test-mlogloss:1.130120+0.049773
## [453] train-mlogloss:0.009292+0.000243 test-mlogloss:1.130324+0.049442
## [454] train-mlogloss:0.009251+0.000248 test-mlogloss:1.131013+0.050295
## [455] train-mlogloss:0.009219+0.000243 test-mlogloss:1.130937+0.050664
## [456] train-mlogloss:0.009192+0.000253 test-mlogloss:1.131294+0.050560
## [457] train-mlogloss:0.009161+0.000256 test-mlogloss:1.133027+0.050927
## [458] train-mlogloss:0.009130+0.000260 test-mlogloss:1.133624+0.051248
## [459] train-mlogloss:0.009088+0.000262 test-mlogloss:1.133805+0.051295
## [460] train-mlogloss:0.009061+0.000259 test-mlogloss:1.134649+0.050957
## [461] train-mlogloss:0.009027+0.000259 test-mlogloss:1.135048+0.050539
## [462] train-mlogloss:0.009001+0.000256 test-mlogloss:1.135320+0.050764
## [463] train-mlogloss:0.008982+0.000263 test-mlogloss:1.136111+0.051545
## [464] train-mlogloss:0.008955+0.000261 test-mlogloss:1.136221+0.051901
## [465] train-mlogloss:0.008915+0.000258 test-mlogloss:1.137244+0.052057
## [466] train-mlogloss:0.008892+0.000257 test-mlogloss:1.137568+0.052174
## [467] train-mlogloss:0.008858+0.000264 test-mlogloss:1.138035+0.051720
## [468] train-mlogloss:0.008833+0.000265 test-mlogloss:1.138309+0.051416
## [469] train-mlogloss:0.008802+0.000271 test-mlogloss:1.139052+0.051319
## [470] train-mlogloss:0.008787+0.000270 test-mlogloss:1.139965+0.051657
## [471] train-mlogloss:0.008767+0.000269 test-mlogloss:1.140311+0.051812
## [472] train-mlogloss:0.008746+0.000269 test-mlogloss:1.140733+0.051697
## [473] train-mlogloss:0.008729+0.000267 test-mlogloss:1.141211+0.052181
## [474] train-mlogloss:0.008709+0.000267 test-mlogloss:1.141875+0.052223
## [475] train-mlogloss:0.008680+0.000264 test-mlogloss:1.142516+0.052415
## [476] train-mlogloss:0.008653+0.000266 test-mlogloss:1.143131+0.052837
## [477] train-mlogloss:0.008631+0.000260 test-mlogloss:1.143950+0.052215
## [478] train-mlogloss:0.008605+0.000258 test-mlogloss:1.144267+0.051985
## [479] train-mlogloss:0.008581+0.000258 test-mlogloss:1.144493+0.051800
## [480] train-mlogloss:0.008550+0.000248 test-mlogloss:1.145241+0.051491
## [481] train-mlogloss:0.008514+0.000247 test-mlogloss:1.146066+0.051401
## [482] train-mlogloss:0.008481+0.000243 test-mlogloss:1.146742+0.051497
## [483] train-mlogloss:0.008463+0.000248 test-mlogloss:1.146749+0.051309
## [484] train-mlogloss:0.008438+0.000251 test-mlogloss:1.147457+0.051602
## [485] train-mlogloss:0.008420+0.000255 test-mlogloss:1.147997+0.052323
## [486] train-mlogloss:0.008398+0.000251 test-mlogloss:1.148466+0.051808
## [487] train-mlogloss:0.008382+0.000255 test-mlogloss:1.148703+0.051765
## [488] train-mlogloss:0.008361+0.000255 test-mlogloss:1.148744+0.051738
## [489] train-mlogloss:0.008333+0.000265 test-mlogloss:1.148983+0.051630
## [490] train-mlogloss:0.008309+0.000261 test-mlogloss:1.149919+0.051623
## [491] train-mlogloss:0.008284+0.000259 test-mlogloss:1.150328+0.051866
## [492] train-mlogloss:0.008259+0.000265 test-mlogloss:1.150729+0.052120
## [493] train-mlogloss:0.008235+0.000261 test-mlogloss:1.151068+0.052169
## [494] train-mlogloss:0.008215+0.000254 test-mlogloss:1.151378+0.051941
## [495] train-mlogloss:0.008196+0.000250 test-mlogloss:1.151590+0.051584
## [496] train-mlogloss:0.008166+0.000258 test-mlogloss:1.152225+0.051541
## [497] train-mlogloss:0.008143+0.000259 test-mlogloss:1.152679+0.052189
## [498] train-mlogloss:0.008127+0.000259 test-mlogloss:1.153840+0.051863
## [499] train-mlogloss:0.008111+0.000255 test-mlogloss:1.154302+0.052227
## [500] train-mlogloss:0.008085+0.000260 test-mlogloss:1.155046+0.051796
## [1] train-mlogloss:0.357053+0.005301 test-mlogloss:0.604255+0.010911
## [2] train-mlogloss:0.238585+0.004574 test-mlogloss:0.625748+0.013492
## [3] train-mlogloss:0.175301+0.005665 test-mlogloss:0.652053+0.013070
## [4] train-mlogloss:0.140691+0.003635 test-mlogloss:0.672037+0.008531
## [5] train-mlogloss:0.118850+0.006222 test-mlogloss:0.687353+0.004866
## [6] train-mlogloss:0.101588+0.006866 test-mlogloss:0.702538+0.006362
## [7] train-mlogloss:0.087932+0.003802 test-mlogloss:0.716293+0.009915
## [8] train-mlogloss:0.075796+0.003170 test-mlogloss:0.730173+0.012156
## [9] train-mlogloss:0.066814+0.002803 test-mlogloss:0.744875+0.013822
## [10] train-mlogloss:0.059759+0.002088 test-mlogloss:0.757417+0.017462
## [11] train-mlogloss:0.054315+0.001585 test-mlogloss:0.764490+0.017103
## [12] train-mlogloss:0.049412+0.001347 test-mlogloss:0.773001+0.015720
## [13] train-mlogloss:0.045280+0.000897 test-mlogloss:0.780896+0.016134
## [14] train-mlogloss:0.042474+0.001120 test-mlogloss:0.786968+0.017594
## [15] train-mlogloss:0.039868+0.001137 test-mlogloss:0.794447+0.016660
## [16] train-mlogloss:0.037625+0.001103 test-mlogloss:0.801197+0.013310
## [17] train-mlogloss:0.035464+0.001093 test-mlogloss:0.810383+0.013968
## [18] train-mlogloss:0.033503+0.001102 test-mlogloss:0.815121+0.013781
## [19] train-mlogloss:0.031702+0.000975 test-mlogloss:0.820340+0.012971
## [20] train-mlogloss:0.029925+0.000880 test-mlogloss:0.825789+0.013230
## [21] train-mlogloss:0.028447+0.000705 test-mlogloss:0.831345+0.012613
## [22] train-mlogloss:0.027065+0.000604 test-mlogloss:0.836604+0.011948
## [23] train-mlogloss:0.025873+0.000429 test-mlogloss:0.842484+0.011401
## [24] train-mlogloss:0.024758+0.000378 test-mlogloss:0.848486+0.011131
## [25] train-mlogloss:0.023781+0.000234 test-mlogloss:0.851577+0.012751
## [26] train-mlogloss:0.022847+0.000294 test-mlogloss:0.856357+0.011743
## [27] train-mlogloss:0.021982+0.000292 test-mlogloss:0.858424+0.014200
## [28] train-mlogloss:0.021269+0.000264 test-mlogloss:0.864807+0.013930
## [29] train-mlogloss:0.020556+0.000260 test-mlogloss:0.867168+0.013616
## [30] train-mlogloss:0.019983+0.000190 test-mlogloss:0.870350+0.013375
## [31] train-mlogloss:0.019327+0.000159 test-mlogloss:0.873591+0.012066
## [32] train-mlogloss:0.018772+0.000181 test-mlogloss:0.875415+0.011312
## [33] train-mlogloss:0.018233+0.000181 test-mlogloss:0.877459+0.011556
## [34] train-mlogloss:0.017713+0.000178 test-mlogloss:0.880681+0.012191
## [35] train-mlogloss:0.017246+0.000171 test-mlogloss:0.884822+0.011827
## [36] train-mlogloss:0.016798+0.000173 test-mlogloss:0.888653+0.011785
## [37] train-mlogloss:0.016357+0.000155 test-mlogloss:0.891758+0.013105
## [38] train-mlogloss:0.015974+0.000172 test-mlogloss:0.894130+0.013753
## [39] train-mlogloss:0.015603+0.000148 test-mlogloss:0.897071+0.014065
## [40] train-mlogloss:0.015241+0.000140 test-mlogloss:0.899122+0.015028
## [41] train-mlogloss:0.014940+0.000120 test-mlogloss:0.902275+0.014628
## [42] train-mlogloss:0.014627+0.000126 test-mlogloss:0.904796+0.014568
## [43] train-mlogloss:0.014328+0.000118 test-mlogloss:0.907686+0.013453
## [44] train-mlogloss:0.014063+0.000098 test-mlogloss:0.910320+0.014441
## [45] train-mlogloss:0.013782+0.000087 test-mlogloss:0.912704+0.015367
## [46] train-mlogloss:0.013531+0.000094 test-mlogloss:0.914845+0.015244
## [47] train-mlogloss:0.013281+0.000086 test-mlogloss:0.916608+0.014790
## [48] train-mlogloss:0.013025+0.000088 test-mlogloss:0.919113+0.015049
## [49] train-mlogloss:0.012801+0.000073 test-mlogloss:0.921586+0.015701
## [50] train-mlogloss:0.012592+0.000075 test-mlogloss:0.924148+0.016570
## [51] train-mlogloss:0.012378+0.000073 test-mlogloss:0.924881+0.016617
## [52] train-mlogloss:0.012174+0.000082 test-mlogloss:0.927396+0.018032
## [53] train-mlogloss:0.011989+0.000078 test-mlogloss:0.929374+0.018124
## [54] train-mlogloss:0.011810+0.000074 test-mlogloss:0.932282+0.019243
## [55] train-mlogloss:0.011626+0.000082 test-mlogloss:0.934319+0.018676
## [56] train-mlogloss:0.011454+0.000078 test-mlogloss:0.936709+0.018447
## [57] train-mlogloss:0.011294+0.000073 test-mlogloss:0.938366+0.019518
## [58] train-mlogloss:0.011122+0.000078 test-mlogloss:0.940847+0.019545
## [59] train-mlogloss:0.010972+0.000085 test-mlogloss:0.942125+0.019143
## [60] train-mlogloss:0.010829+0.000095 test-mlogloss:0.943862+0.019059
## [61] train-mlogloss:0.010681+0.000098 test-mlogloss:0.945807+0.020515
## [62] train-mlogloss:0.010552+0.000103 test-mlogloss:0.946928+0.020685
## [63] train-mlogloss:0.010420+0.000103 test-mlogloss:0.948967+0.021198
## [64] train-mlogloss:0.010291+0.000099 test-mlogloss:0.951019+0.021510
## [65] train-mlogloss:0.010167+0.000103 test-mlogloss:0.951204+0.021611
## [66] train-mlogloss:0.010052+0.000103 test-mlogloss:0.952651+0.022421
## [67] train-mlogloss:0.009937+0.000100 test-mlogloss:0.953995+0.021723
## [68] train-mlogloss:0.009832+0.000099 test-mlogloss:0.954968+0.021725
## [69] train-mlogloss:0.009726+0.000102 test-mlogloss:0.956274+0.020817
## [70] train-mlogloss:0.009612+0.000100 test-mlogloss:0.957581+0.021260
## [71] train-mlogloss:0.009503+0.000096 test-mlogloss:0.959792+0.020669
## [72] train-mlogloss:0.009402+0.000094 test-mlogloss:0.961938+0.020652
## [73] train-mlogloss:0.009303+0.000097 test-mlogloss:0.963343+0.020288
## [74] train-mlogloss:0.009206+0.000094 test-mlogloss:0.964418+0.020737
## [75] train-mlogloss:0.009114+0.000093 test-mlogloss:0.965908+0.020972
## [76] train-mlogloss:0.009019+0.000091 test-mlogloss:0.967100+0.020014
## [77] train-mlogloss:0.008938+0.000092 test-mlogloss:0.968693+0.019957
## [78] train-mlogloss:0.008853+0.000085 test-mlogloss:0.969168+0.020092
## [79] train-mlogloss:0.008761+0.000087 test-mlogloss:0.970905+0.019632
## [80] train-mlogloss:0.008678+0.000087 test-mlogloss:0.972499+0.018762
## [81] train-mlogloss:0.008596+0.000084 test-mlogloss:0.973653+0.018855
## [82] train-mlogloss:0.008514+0.000083 test-mlogloss:0.974736+0.017971
## [83] train-mlogloss:0.008441+0.000077 test-mlogloss:0.975591+0.017827
## [84] train-mlogloss:0.008368+0.000065 test-mlogloss:0.976594+0.018358
## [85] train-mlogloss:0.008289+0.000066 test-mlogloss:0.977928+0.018233
## [86] train-mlogloss:0.008215+0.000072 test-mlogloss:0.979277+0.018801
## [87] train-mlogloss:0.008137+0.000072 test-mlogloss:0.981060+0.019302
## [88] train-mlogloss:0.008072+0.000072 test-mlogloss:0.982402+0.019225
## [89] train-mlogloss:0.007999+0.000063 test-mlogloss:0.982818+0.019823
## [90] train-mlogloss:0.007938+0.000064 test-mlogloss:0.983214+0.019485
## [91] train-mlogloss:0.007878+0.000064 test-mlogloss:0.984010+0.020363
## [92] train-mlogloss:0.007816+0.000071 test-mlogloss:0.985772+0.020419
## [93] train-mlogloss:0.007757+0.000070 test-mlogloss:0.986512+0.020475
## [94] train-mlogloss:0.007702+0.000077 test-mlogloss:0.988282+0.019628
## [95] train-mlogloss:0.007643+0.000072 test-mlogloss:0.989295+0.019860
## [96] train-mlogloss:0.007584+0.000069 test-mlogloss:0.990111+0.019694
## [97] train-mlogloss:0.007527+0.000070 test-mlogloss:0.990409+0.020204
## [98] train-mlogloss:0.007470+0.000067 test-mlogloss:0.991441+0.020123
## [99] train-mlogloss:0.007413+0.000065 test-mlogloss:0.992625+0.019971
## [100] train-mlogloss:0.007357+0.000064 test-mlogloss:0.993471+0.020445
## [101] train-mlogloss:0.007299+0.000062 test-mlogloss:0.994541+0.021019
## [102] train-mlogloss:0.007252+0.000059 test-mlogloss:0.995552+0.021004
## [103] train-mlogloss:0.007198+0.000064 test-mlogloss:0.997856+0.021195
## [104] train-mlogloss:0.007148+0.000067 test-mlogloss:0.999128+0.021254
## [105] train-mlogloss:0.007099+0.000067 test-mlogloss:0.999690+0.020632
## [106] train-mlogloss:0.007051+0.000067 test-mlogloss:1.000303+0.020996
## [107] train-mlogloss:0.007004+0.000064 test-mlogloss:1.001443+0.020732
## [108] train-mlogloss:0.006959+0.000064 test-mlogloss:1.002098+0.021596
## [109] train-mlogloss:0.006913+0.000062 test-mlogloss:1.003211+0.021828
## [110] train-mlogloss:0.006867+0.000062 test-mlogloss:1.005025+0.021644
## [111] train-mlogloss:0.006822+0.000064 test-mlogloss:1.007045+0.021826
## [112] train-mlogloss:0.006780+0.000063 test-mlogloss:1.008472+0.021503
## [113] train-mlogloss:0.006738+0.000065 test-mlogloss:1.009165+0.021236
## [114] train-mlogloss:0.006699+0.000063 test-mlogloss:1.010201+0.021440
## [115] train-mlogloss:0.006660+0.000063 test-mlogloss:1.011125+0.021598
## [116] train-mlogloss:0.006618+0.000060 test-mlogloss:1.011880+0.021700
## [117] train-mlogloss:0.006581+0.000060 test-mlogloss:1.012281+0.022159
## [118] train-mlogloss:0.006540+0.000058 test-mlogloss:1.013098+0.021687
## [119] train-mlogloss:0.006504+0.000061 test-mlogloss:1.013586+0.022059
## [120] train-mlogloss:0.006471+0.000058 test-mlogloss:1.014096+0.022022
## [121] train-mlogloss:0.006434+0.000055 test-mlogloss:1.014950+0.022073
## [122] train-mlogloss:0.006402+0.000056 test-mlogloss:1.016306+0.022080
## [123] train-mlogloss:0.006367+0.000054 test-mlogloss:1.017154+0.021718
## [124] train-mlogloss:0.006333+0.000054 test-mlogloss:1.017171+0.022046
## [125] train-mlogloss:0.006299+0.000054 test-mlogloss:1.017704+0.022524
## [126] train-mlogloss:0.006267+0.000051 test-mlogloss:1.018303+0.023037
## [127] train-mlogloss:0.006237+0.000051 test-mlogloss:1.019408+0.022952
## [128] train-mlogloss:0.006207+0.000051 test-mlogloss:1.019895+0.022922
## [129] train-mlogloss:0.006172+0.000054 test-mlogloss:1.021227+0.023005
## [130] train-mlogloss:0.006142+0.000050 test-mlogloss:1.021913+0.022960
## [131] train-mlogloss:0.006110+0.000051 test-mlogloss:1.022847+0.022684
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## [133] train-mlogloss:0.006050+0.000050 test-mlogloss:1.023448+0.022614
## [134] train-mlogloss:0.006022+0.000049 test-mlogloss:1.024810+0.022283
## [135] train-mlogloss:0.005995+0.000050 test-mlogloss:1.025794+0.022130
## [136] train-mlogloss:0.005967+0.000054 test-mlogloss:1.026566+0.021375
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## [138] train-mlogloss:0.005909+0.000050 test-mlogloss:1.027795+0.022075
## [139] train-mlogloss:0.005882+0.000051 test-mlogloss:1.029145+0.022293
## [140] train-mlogloss:0.005856+0.000052 test-mlogloss:1.030323+0.021913
## [141] train-mlogloss:0.005829+0.000051 test-mlogloss:1.030422+0.022404
## [142] train-mlogloss:0.005804+0.000051 test-mlogloss:1.031000+0.022007
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## [144] train-mlogloss:0.005752+0.000053 test-mlogloss:1.032159+0.021544
## [145] train-mlogloss:0.005725+0.000054 test-mlogloss:1.032858+0.021333
## [146] train-mlogloss:0.005700+0.000053 test-mlogloss:1.033238+0.020919
## [147] train-mlogloss:0.005674+0.000051 test-mlogloss:1.034137+0.021055
## [148] train-mlogloss:0.005649+0.000050 test-mlogloss:1.035163+0.020801
## [149] train-mlogloss:0.005625+0.000050 test-mlogloss:1.035596+0.020416
## [150] train-mlogloss:0.005603+0.000048 test-mlogloss:1.035713+0.020803
## [151] train-mlogloss:0.005580+0.000047 test-mlogloss:1.036187+0.020558
## [152] train-mlogloss:0.005557+0.000046 test-mlogloss:1.037055+0.019960
## [153] train-mlogloss:0.005534+0.000044 test-mlogloss:1.037849+0.020403
## [154] train-mlogloss:0.005509+0.000043 test-mlogloss:1.038933+0.020375
## [155] train-mlogloss:0.005487+0.000039 test-mlogloss:1.039378+0.020268
## [156] train-mlogloss:0.005467+0.000037 test-mlogloss:1.040455+0.019847
## [157] train-mlogloss:0.005444+0.000037 test-mlogloss:1.041109+0.019435
## [158] train-mlogloss:0.005424+0.000036 test-mlogloss:1.041451+0.019564
## [159] train-mlogloss:0.005401+0.000038 test-mlogloss:1.041536+0.019655
## [160] train-mlogloss:0.005379+0.000038 test-mlogloss:1.042085+0.019612
## [161] train-mlogloss:0.005357+0.000037 test-mlogloss:1.042977+0.019463
## [162] train-mlogloss:0.005336+0.000036 test-mlogloss:1.043735+0.020067
## [163] train-mlogloss:0.005315+0.000035 test-mlogloss:1.043692+0.019832
## [164] train-mlogloss:0.005293+0.000034 test-mlogloss:1.043668+0.020455
## [165] train-mlogloss:0.005274+0.000033 test-mlogloss:1.044624+0.020901
## [166] train-mlogloss:0.005255+0.000032 test-mlogloss:1.045390+0.020723
## [167] train-mlogloss:0.005236+0.000033 test-mlogloss:1.046276+0.021308
## [168] train-mlogloss:0.005216+0.000033 test-mlogloss:1.046606+0.021102
## [169] train-mlogloss:0.005198+0.000034 test-mlogloss:1.046664+0.021378
## [170] train-mlogloss:0.005177+0.000034 test-mlogloss:1.047126+0.021785
## [171] train-mlogloss:0.005159+0.000033 test-mlogloss:1.047456+0.021244
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## [177] train-mlogloss:0.005043+0.000032 test-mlogloss:1.050019+0.021117
## [178] train-mlogloss:0.005024+0.000034 test-mlogloss:1.049601+0.020257
## [179] train-mlogloss:0.005008+0.000032 test-mlogloss:1.050812+0.020846
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## [185] train-mlogloss:0.004906+0.000030 test-mlogloss:1.055298+0.020483
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## [189] train-mlogloss:0.004840+0.000029 test-mlogloss:1.057540+0.020423
## [190] train-mlogloss:0.004824+0.000029 test-mlogloss:1.058139+0.020456
## [191] train-mlogloss:0.004809+0.000029 test-mlogloss:1.058291+0.020802
## [192] train-mlogloss:0.004794+0.000029 test-mlogloss:1.058708+0.020718
## [193] train-mlogloss:0.004778+0.000027 test-mlogloss:1.059348+0.020577
## [194] train-mlogloss:0.004761+0.000026 test-mlogloss:1.059695+0.020548
## [195] train-mlogloss:0.004745+0.000028 test-mlogloss:1.060466+0.020883
## [196] train-mlogloss:0.004732+0.000029 test-mlogloss:1.060589+0.020461
## [197] train-mlogloss:0.004716+0.000027 test-mlogloss:1.060996+0.020965
## [198] train-mlogloss:0.004702+0.000025 test-mlogloss:1.061079+0.020763
## [199] train-mlogloss:0.004686+0.000024 test-mlogloss:1.061157+0.020481
## [200] train-mlogloss:0.004671+0.000022 test-mlogloss:1.061705+0.019912
## [201] train-mlogloss:0.004657+0.000021 test-mlogloss:1.062536+0.020556
## [202] train-mlogloss:0.004644+0.000021 test-mlogloss:1.063416+0.020347
## [203] train-mlogloss:0.004630+0.000021 test-mlogloss:1.064573+0.020182
## [204] train-mlogloss:0.004616+0.000021 test-mlogloss:1.064652+0.019546
## [205] train-mlogloss:0.004601+0.000022 test-mlogloss:1.064841+0.019928
## [206] train-mlogloss:0.004588+0.000022 test-mlogloss:1.065074+0.019434
## [207] train-mlogloss:0.004574+0.000021 test-mlogloss:1.065794+0.019249
## [208] train-mlogloss:0.004562+0.000021 test-mlogloss:1.066558+0.018835
## [209] train-mlogloss:0.004549+0.000019 test-mlogloss:1.067668+0.018794
## [210] train-mlogloss:0.004535+0.000018 test-mlogloss:1.068031+0.018649
## [211] train-mlogloss:0.004523+0.000018 test-mlogloss:1.068363+0.018716
## [212] train-mlogloss:0.004510+0.000018 test-mlogloss:1.069524+0.018702
## [213] train-mlogloss:0.004496+0.000017 test-mlogloss:1.069378+0.018353
## [214] train-mlogloss:0.004483+0.000017 test-mlogloss:1.069416+0.018527
## [215] train-mlogloss:0.004470+0.000016 test-mlogloss:1.070117+0.018416
## [216] train-mlogloss:0.004458+0.000015 test-mlogloss:1.071085+0.017913
## [217] train-mlogloss:0.004446+0.000014 test-mlogloss:1.071183+0.018534
## [218] train-mlogloss:0.004433+0.000014 test-mlogloss:1.071695+0.018294
## [219] train-mlogloss:0.004422+0.000014 test-mlogloss:1.072131+0.017924
## [220] train-mlogloss:0.004410+0.000015 test-mlogloss:1.072129+0.018331
## [221] train-mlogloss:0.004398+0.000016 test-mlogloss:1.072495+0.017924
## [222] train-mlogloss:0.004386+0.000016 test-mlogloss:1.073034+0.018287
## [223] train-mlogloss:0.004375+0.000016 test-mlogloss:1.073864+0.018609
## [224] train-mlogloss:0.004364+0.000016 test-mlogloss:1.074087+0.018797
## [225] train-mlogloss:0.004353+0.000015 test-mlogloss:1.074570+0.018696
## [226] train-mlogloss:0.004341+0.000015 test-mlogloss:1.074513+0.018568
## [227] train-mlogloss:0.004330+0.000015 test-mlogloss:1.074817+0.018653
## [228] train-mlogloss:0.004318+0.000016 test-mlogloss:1.075498+0.018404
## [229] train-mlogloss:0.004307+0.000016 test-mlogloss:1.076350+0.018428
## [230] train-mlogloss:0.004297+0.000015 test-mlogloss:1.077012+0.018212
## [231] train-mlogloss:0.004286+0.000016 test-mlogloss:1.077365+0.018118
## [232] train-mlogloss:0.004275+0.000016 test-mlogloss:1.077583+0.018412
## [233] train-mlogloss:0.004265+0.000016 test-mlogloss:1.077866+0.018508
## [234] train-mlogloss:0.004254+0.000016 test-mlogloss:1.078475+0.018833
## [235] train-mlogloss:0.004244+0.000016 test-mlogloss:1.078592+0.018955
## [236] train-mlogloss:0.004234+0.000016 test-mlogloss:1.078887+0.019172
## [237] train-mlogloss:0.004223+0.000015 test-mlogloss:1.079394+0.019122
## [238] train-mlogloss:0.004214+0.000015 test-mlogloss:1.079529+0.019523
## [239] train-mlogloss:0.004203+0.000014 test-mlogloss:1.079837+0.019521
## [240] train-mlogloss:0.004192+0.000012 test-mlogloss:1.080591+0.019503
## [241] train-mlogloss:0.004182+0.000012 test-mlogloss:1.080618+0.019872
## [242] train-mlogloss:0.004171+0.000012 test-mlogloss:1.080997+0.019317
## [243] train-mlogloss:0.004162+0.000013 test-mlogloss:1.081867+0.019664
## [244] train-mlogloss:0.004153+0.000012 test-mlogloss:1.081986+0.019198
## [245] train-mlogloss:0.004144+0.000012 test-mlogloss:1.082437+0.019455
## [246] train-mlogloss:0.004133+0.000012 test-mlogloss:1.082933+0.019559
## [247] train-mlogloss:0.004124+0.000011 test-mlogloss:1.082640+0.020002
## [248] train-mlogloss:0.004113+0.000011 test-mlogloss:1.083316+0.019953
## [249] train-mlogloss:0.004103+0.000010 test-mlogloss:1.083792+0.020051
## [250] train-mlogloss:0.004094+0.000010 test-mlogloss:1.083881+0.020823
## [251] train-mlogloss:0.004085+0.000010 test-mlogloss:1.084101+0.020614
## [252] train-mlogloss:0.004075+0.000012 test-mlogloss:1.084856+0.020462
## [253] train-mlogloss:0.004066+0.000011 test-mlogloss:1.084931+0.020559
## [254] train-mlogloss:0.004057+0.000011 test-mlogloss:1.085416+0.020332
## [255] train-mlogloss:0.004048+0.000011 test-mlogloss:1.085806+0.020547
## [256] train-mlogloss:0.004038+0.000011 test-mlogloss:1.085935+0.020557
## [257] train-mlogloss:0.004030+0.000010 test-mlogloss:1.086532+0.020559
## [258] train-mlogloss:0.004021+0.000009 test-mlogloss:1.086684+0.020843
## [259] train-mlogloss:0.004012+0.000010 test-mlogloss:1.086761+0.020966
## [260] train-mlogloss:0.004003+0.000010 test-mlogloss:1.086828+0.020873
## [261] train-mlogloss:0.003994+0.000010 test-mlogloss:1.087703+0.020905
## [262] train-mlogloss:0.003985+0.000011 test-mlogloss:1.088173+0.020209
## [263] train-mlogloss:0.003978+0.000011 test-mlogloss:1.087985+0.020384
## [264] train-mlogloss:0.003970+0.000011 test-mlogloss:1.088527+0.019796
## [265] train-mlogloss:0.003960+0.000011 test-mlogloss:1.089138+0.019892
## [266] train-mlogloss:0.003951+0.000011 test-mlogloss:1.089620+0.019647
## [267] train-mlogloss:0.003943+0.000012 test-mlogloss:1.090019+0.020238
## [268] train-mlogloss:0.003934+0.000012 test-mlogloss:1.090244+0.020442
## [269] train-mlogloss:0.003925+0.000012 test-mlogloss:1.090733+0.020639
## [270] train-mlogloss:0.003916+0.000011 test-mlogloss:1.090481+0.020288
## [271] train-mlogloss:0.003907+0.000010 test-mlogloss:1.090907+0.020010
## [272] train-mlogloss:0.003899+0.000011 test-mlogloss:1.091428+0.020107
## [273] train-mlogloss:0.003891+0.000011 test-mlogloss:1.091905+0.020218
## [274] train-mlogloss:0.003882+0.000011 test-mlogloss:1.092439+0.019967
## [275] train-mlogloss:0.003875+0.000011 test-mlogloss:1.093149+0.020616
## [276] train-mlogloss:0.003866+0.000011 test-mlogloss:1.093576+0.020592
## [277] train-mlogloss:0.003859+0.000010 test-mlogloss:1.093815+0.020045
## [278] train-mlogloss:0.003850+0.000010 test-mlogloss:1.093808+0.020359
## [279] train-mlogloss:0.003842+0.000011 test-mlogloss:1.094417+0.020812
## [280] train-mlogloss:0.003835+0.000012 test-mlogloss:1.094986+0.020568
## [281] train-mlogloss:0.003827+0.000012 test-mlogloss:1.094836+0.020529
## [282] train-mlogloss:0.003820+0.000012 test-mlogloss:1.095203+0.020491
## [283] train-mlogloss:0.003811+0.000013 test-mlogloss:1.095419+0.020105
## [284] train-mlogloss:0.003803+0.000013 test-mlogloss:1.096009+0.020131
## [285] train-mlogloss:0.003797+0.000013 test-mlogloss:1.096023+0.020062
## [286] train-mlogloss:0.003789+0.000013 test-mlogloss:1.096408+0.020292
## [287] train-mlogloss:0.003781+0.000013 test-mlogloss:1.097172+0.020528
## [288] train-mlogloss:0.003774+0.000013 test-mlogloss:1.097868+0.020290
## [289] train-mlogloss:0.003767+0.000013 test-mlogloss:1.097911+0.020520
## [290] train-mlogloss:0.003760+0.000013 test-mlogloss:1.098314+0.020368
## [291] train-mlogloss:0.003753+0.000013 test-mlogloss:1.098479+0.020029
## [292] train-mlogloss:0.003745+0.000013 test-mlogloss:1.099135+0.020132
## [293] train-mlogloss:0.003739+0.000013 test-mlogloss:1.099795+0.020253
## [294] train-mlogloss:0.003731+0.000011 test-mlogloss:1.100306+0.019941
## [295] train-mlogloss:0.003723+0.000010 test-mlogloss:1.100398+0.019915
## [296] train-mlogloss:0.003717+0.000011 test-mlogloss:1.100331+0.019774
## [297] train-mlogloss:0.003710+0.000011 test-mlogloss:1.100420+0.019902
## [298] train-mlogloss:0.003703+0.000012 test-mlogloss:1.100854+0.020138
## [299] train-mlogloss:0.003696+0.000012 test-mlogloss:1.101317+0.020161
## [300] train-mlogloss:0.003689+0.000012 test-mlogloss:1.101724+0.019762
## [301] train-mlogloss:0.003683+0.000012 test-mlogloss:1.101633+0.019744
## [302] train-mlogloss:0.003677+0.000013 test-mlogloss:1.102405+0.019952
## [303] train-mlogloss:0.003670+0.000013 test-mlogloss:1.102146+0.020268
## [304] train-mlogloss:0.003663+0.000012 test-mlogloss:1.102722+0.019972
## [305] train-mlogloss:0.003656+0.000012 test-mlogloss:1.103235+0.020105
## [306] train-mlogloss:0.003649+0.000012 test-mlogloss:1.103520+0.020211
## [307] train-mlogloss:0.003642+0.000013 test-mlogloss:1.104041+0.020121
## [308] train-mlogloss:0.003636+0.000012 test-mlogloss:1.104358+0.020109
## [309] train-mlogloss:0.003629+0.000012 test-mlogloss:1.104521+0.020136
## [310] train-mlogloss:0.003622+0.000012 test-mlogloss:1.104799+0.020184
## [311] train-mlogloss:0.003615+0.000012 test-mlogloss:1.104891+0.019774
## [312] train-mlogloss:0.003608+0.000011 test-mlogloss:1.105348+0.020136
## [313] train-mlogloss:0.003602+0.000011 test-mlogloss:1.106191+0.020456
## [314] train-mlogloss:0.003595+0.000010 test-mlogloss:1.106251+0.020298
## [315] train-mlogloss:0.003589+0.000010 test-mlogloss:1.106422+0.019844
## [316] train-mlogloss:0.003581+0.000009 test-mlogloss:1.106695+0.019638
## [317] train-mlogloss:0.003575+0.000009 test-mlogloss:1.106610+0.019579
## [318] train-mlogloss:0.003570+0.000009 test-mlogloss:1.106599+0.019671
## [319] train-mlogloss:0.003563+0.000009 test-mlogloss:1.107110+0.019883
## [320] train-mlogloss:0.003557+0.000009 test-mlogloss:1.107896+0.020001
## [321] train-mlogloss:0.003549+0.000008 test-mlogloss:1.108384+0.020039
## [322] train-mlogloss:0.003544+0.000007 test-mlogloss:1.108629+0.020130
## [323] train-mlogloss:0.003538+0.000007 test-mlogloss:1.109138+0.019440
## [324] train-mlogloss:0.003532+0.000007 test-mlogloss:1.109528+0.019519
## [325] train-mlogloss:0.003527+0.000007 test-mlogloss:1.109596+0.019621
## [326] train-mlogloss:0.003521+0.000007 test-mlogloss:1.110096+0.019399
## [327] train-mlogloss:0.003515+0.000007 test-mlogloss:1.109933+0.018973
## [328] train-mlogloss:0.003510+0.000007 test-mlogloss:1.110038+0.019380
## [329] train-mlogloss:0.003504+0.000006 test-mlogloss:1.110313+0.019253
## [330] train-mlogloss:0.003498+0.000006 test-mlogloss:1.110578+0.019416
## [331] train-mlogloss:0.003492+0.000006 test-mlogloss:1.110967+0.019270
## [332] train-mlogloss:0.003486+0.000006 test-mlogloss:1.111289+0.019334
## [333] train-mlogloss:0.003481+0.000006 test-mlogloss:1.110945+0.019207
## [334] train-mlogloss:0.003474+0.000006 test-mlogloss:1.111469+0.019547
## [335] train-mlogloss:0.003469+0.000006 test-mlogloss:1.111373+0.019652
## [336] train-mlogloss:0.003463+0.000006 test-mlogloss:1.111843+0.019591
## [337] train-mlogloss:0.003457+0.000005 test-mlogloss:1.112385+0.019675
## [338] train-mlogloss:0.003451+0.000005 test-mlogloss:1.112691+0.019558
## [339] train-mlogloss:0.003445+0.000005 test-mlogloss:1.113082+0.019942
## [340] train-mlogloss:0.003440+0.000005 test-mlogloss:1.113338+0.019828
## [341] train-mlogloss:0.003435+0.000005 test-mlogloss:1.113410+0.019623
## [342] train-mlogloss:0.003429+0.000005 test-mlogloss:1.113548+0.019564
## [343] train-mlogloss:0.003424+0.000004 test-mlogloss:1.114176+0.019578
## [344] train-mlogloss:0.003419+0.000005 test-mlogloss:1.114566+0.019742
## [345] train-mlogloss:0.003414+0.000005 test-mlogloss:1.115058+0.019368
## [346] train-mlogloss:0.003408+0.000005 test-mlogloss:1.114923+0.019633
## [347] train-mlogloss:0.003403+0.000006 test-mlogloss:1.115430+0.019780
## [348] train-mlogloss:0.003398+0.000005 test-mlogloss:1.115722+0.019799
## [349] train-mlogloss:0.003394+0.000005 test-mlogloss:1.115931+0.019808
## [350] train-mlogloss:0.003389+0.000006 test-mlogloss:1.116120+0.019808
## [351] train-mlogloss:0.003384+0.000005 test-mlogloss:1.117019+0.020060
## [352] train-mlogloss:0.003379+0.000005 test-mlogloss:1.117003+0.020105
## [353] train-mlogloss:0.003373+0.000005 test-mlogloss:1.117541+0.019624
## [354] train-mlogloss:0.003367+0.000005 test-mlogloss:1.117635+0.020213
## [355] train-mlogloss:0.003363+0.000005 test-mlogloss:1.117713+0.019996
## [356] train-mlogloss:0.003357+0.000005 test-mlogloss:1.117838+0.020435
## [357] train-mlogloss:0.003353+0.000005 test-mlogloss:1.117850+0.020504
## [358] train-mlogloss:0.003348+0.000005 test-mlogloss:1.118473+0.020968
## [359] train-mlogloss:0.003343+0.000005 test-mlogloss:1.118858+0.021358
## [360] train-mlogloss:0.003338+0.000004 test-mlogloss:1.119484+0.021720
## [361] train-mlogloss:0.003333+0.000004 test-mlogloss:1.119827+0.021535
## [362] train-mlogloss:0.003329+0.000003 test-mlogloss:1.119959+0.021719
## [363] train-mlogloss:0.003323+0.000004 test-mlogloss:1.119862+0.021868
## [364] train-mlogloss:0.003318+0.000004 test-mlogloss:1.119901+0.021544
## [365] train-mlogloss:0.003313+0.000004 test-mlogloss:1.120450+0.021720
## [366] train-mlogloss:0.003308+0.000004 test-mlogloss:1.120581+0.021543
## [367] train-mlogloss:0.003303+0.000004 test-mlogloss:1.120664+0.021273
## [368] train-mlogloss:0.003298+0.000004 test-mlogloss:1.121382+0.021127
## [369] train-mlogloss:0.003294+0.000004 test-mlogloss:1.121620+0.021824
## [370] train-mlogloss:0.003290+0.000004 test-mlogloss:1.121813+0.021895
## [371] train-mlogloss:0.003285+0.000004 test-mlogloss:1.122336+0.021916
## [372] train-mlogloss:0.003280+0.000005 test-mlogloss:1.122383+0.021692
## [373] train-mlogloss:0.003275+0.000005 test-mlogloss:1.122347+0.021591
## [374] train-mlogloss:0.003270+0.000005 test-mlogloss:1.122583+0.021889
## [375] train-mlogloss:0.003265+0.000005 test-mlogloss:1.122916+0.021965
## [376] train-mlogloss:0.003260+0.000005 test-mlogloss:1.122845+0.021785
## [377] train-mlogloss:0.003255+0.000006 test-mlogloss:1.123039+0.022314
## [378] train-mlogloss:0.003251+0.000005 test-mlogloss:1.123456+0.022187
## [379] train-mlogloss:0.003247+0.000005 test-mlogloss:1.123782+0.022596
## [380] train-mlogloss:0.003242+0.000006 test-mlogloss:1.123730+0.022568
## [381] train-mlogloss:0.003237+0.000006 test-mlogloss:1.123966+0.022177
## [382] train-mlogloss:0.003232+0.000007 test-mlogloss:1.124328+0.022440
## [383] train-mlogloss:0.003228+0.000006 test-mlogloss:1.124550+0.022306
## [384] train-mlogloss:0.003223+0.000006 test-mlogloss:1.124781+0.022262
## [385] train-mlogloss:0.003219+0.000005 test-mlogloss:1.125122+0.022443
## [386] train-mlogloss:0.003215+0.000006 test-mlogloss:1.125498+0.022465
## [387] train-mlogloss:0.003211+0.000005 test-mlogloss:1.125877+0.022370
## [388] train-mlogloss:0.003206+0.000006 test-mlogloss:1.126098+0.022380
## [389] train-mlogloss:0.003202+0.000005 test-mlogloss:1.126350+0.022549
## [390] train-mlogloss:0.003197+0.000006 test-mlogloss:1.127071+0.022707
## [391] train-mlogloss:0.003193+0.000006 test-mlogloss:1.127553+0.022783
## [392] train-mlogloss:0.003188+0.000006 test-mlogloss:1.127433+0.022755
## [393] train-mlogloss:0.003184+0.000006 test-mlogloss:1.127399+0.022701
## [394] train-mlogloss:0.003180+0.000006 test-mlogloss:1.127716+0.022675
## [395] train-mlogloss:0.003175+0.000006 test-mlogloss:1.127991+0.022430
## [396] train-mlogloss:0.003170+0.000005 test-mlogloss:1.128313+0.022617
## [397] train-mlogloss:0.003166+0.000005 test-mlogloss:1.128617+0.022396
## [398] train-mlogloss:0.003162+0.000005 test-mlogloss:1.128959+0.022419
## [399] train-mlogloss:0.003158+0.000005 test-mlogloss:1.128882+0.022521
## [400] train-mlogloss:0.003154+0.000006 test-mlogloss:1.129045+0.022157
## [401] train-mlogloss:0.003150+0.000007 test-mlogloss:1.129225+0.021981
## [402] train-mlogloss:0.003145+0.000006 test-mlogloss:1.129454+0.022258
## [403] train-mlogloss:0.003141+0.000007 test-mlogloss:1.129714+0.022451
## [404] train-mlogloss:0.003136+0.000007 test-mlogloss:1.130223+0.022233
## [405] train-mlogloss:0.003132+0.000007 test-mlogloss:1.131083+0.022325
## [406] train-mlogloss:0.003128+0.000007 test-mlogloss:1.131020+0.022179
## [407] train-mlogloss:0.003125+0.000007 test-mlogloss:1.131197+0.021913
## [408] train-mlogloss:0.003121+0.000006 test-mlogloss:1.131468+0.022265
## [409] train-mlogloss:0.003117+0.000006 test-mlogloss:1.131714+0.022421
## [410] train-mlogloss:0.003113+0.000006 test-mlogloss:1.132046+0.022451
## [411] train-mlogloss:0.003108+0.000006 test-mlogloss:1.132151+0.022923
## [412] train-mlogloss:0.003105+0.000006 test-mlogloss:1.132858+0.022593
## [413] train-mlogloss:0.003101+0.000006 test-mlogloss:1.133108+0.022642
## [414] train-mlogloss:0.003097+0.000007 test-mlogloss:1.133515+0.022498
## [415] train-mlogloss:0.003093+0.000007 test-mlogloss:1.133695+0.022901
## [416] train-mlogloss:0.003088+0.000006 test-mlogloss:1.133572+0.022425
## [417] train-mlogloss:0.003084+0.000006 test-mlogloss:1.133574+0.022486
## [418] train-mlogloss:0.003081+0.000006 test-mlogloss:1.133569+0.022554
## [419] train-mlogloss:0.003077+0.000006 test-mlogloss:1.134053+0.022550
## [420] train-mlogloss:0.003073+0.000006 test-mlogloss:1.134252+0.022819
## [421] train-mlogloss:0.003069+0.000006 test-mlogloss:1.134410+0.022979
## [422] train-mlogloss:0.003065+0.000006 test-mlogloss:1.134107+0.023276
## [423] train-mlogloss:0.003061+0.000006 test-mlogloss:1.134693+0.024068
## [424] train-mlogloss:0.003057+0.000007 test-mlogloss:1.134578+0.023711
## [425] train-mlogloss:0.003054+0.000007 test-mlogloss:1.134695+0.023502
## [426] train-mlogloss:0.003051+0.000007 test-mlogloss:1.135099+0.023357
## [427] train-mlogloss:0.003047+0.000007 test-mlogloss:1.135046+0.023485
## [428] train-mlogloss:0.003043+0.000006 test-mlogloss:1.135567+0.023427
## [429] train-mlogloss:0.003039+0.000006 test-mlogloss:1.135633+0.023697
## [430] train-mlogloss:0.003035+0.000006 test-mlogloss:1.135908+0.023394
## [431] train-mlogloss:0.003031+0.000006 test-mlogloss:1.136427+0.023606
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## [492] train-mlogloss:0.002829+0.000005 test-mlogloss:1.147470+0.024290
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## [498] train-mlogloss:0.002812+0.000005 test-mlogloss:1.148397+0.024275
## [499] train-mlogloss:0.002810+0.000006 test-mlogloss:1.148466+0.024567
## [500] train-mlogloss:0.002807+0.000005 test-mlogloss:1.148349+0.024465
## [1] train-mlogloss:0.614312+0.001420 test-mlogloss:0.620829+0.003810
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## [9] train-mlogloss:0.487667+0.002860 test-mlogloss:0.536537+0.009574
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## [13] train-mlogloss:0.473243+0.002896 test-mlogloss:0.538946+0.010649
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## [36] train-mlogloss:0.410068+0.004866 test-mlogloss:0.553411+0.009450
## [37] train-mlogloss:0.407240+0.004086 test-mlogloss:0.554307+0.009254
## [38] train-mlogloss:0.404916+0.004214 test-mlogloss:0.555389+0.008585
## [39] train-mlogloss:0.402564+0.003985 test-mlogloss:0.556102+0.008608
## [40] train-mlogloss:0.400241+0.004042 test-mlogloss:0.556946+0.008855
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## [44] train-mlogloss:0.389747+0.004233 test-mlogloss:0.559304+0.009253
## [45] train-mlogloss:0.387801+0.004664 test-mlogloss:0.560543+0.009735
## [46] train-mlogloss:0.385237+0.004618 test-mlogloss:0.560884+0.009550
## [47] train-mlogloss:0.382791+0.004654 test-mlogloss:0.561810+0.009479
## [48] train-mlogloss:0.380310+0.005179 test-mlogloss:0.563195+0.009961
## [49] train-mlogloss:0.378034+0.004999 test-mlogloss:0.564604+0.009920
## [50] train-mlogloss:0.375799+0.004924 test-mlogloss:0.565633+0.010164
## [51] train-mlogloss:0.373598+0.005412 test-mlogloss:0.566790+0.010300
## [52] train-mlogloss:0.371108+0.005497 test-mlogloss:0.567845+0.010674
## [53] train-mlogloss:0.369086+0.005330 test-mlogloss:0.568085+0.010334
## [54] train-mlogloss:0.367234+0.005580 test-mlogloss:0.568335+0.010430
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## [76] train-mlogloss:0.324575+0.004874 test-mlogloss:0.583021+0.012931
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## [78] train-mlogloss:0.320905+0.004874 test-mlogloss:0.584944+0.013294
## [79] train-mlogloss:0.319434+0.004951 test-mlogloss:0.585831+0.012799
## [80] train-mlogloss:0.318106+0.004920 test-mlogloss:0.586227+0.013297
## [81] train-mlogloss:0.316423+0.004653 test-mlogloss:0.586678+0.014130
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## [85] train-mlogloss:0.309108+0.004649 test-mlogloss:0.589006+0.012639
## [86] train-mlogloss:0.307481+0.004713 test-mlogloss:0.589244+0.013303
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## [88] train-mlogloss:0.304117+0.004225 test-mlogloss:0.590013+0.013723
## [89] train-mlogloss:0.302813+0.004216 test-mlogloss:0.590806+0.013612
## [90] train-mlogloss:0.301042+0.003971 test-mlogloss:0.591146+0.013931
## [91] train-mlogloss:0.299143+0.004178 test-mlogloss:0.592264+0.014553
## [92] train-mlogloss:0.297512+0.004244 test-mlogloss:0.592858+0.014582
## [93] train-mlogloss:0.295798+0.004433 test-mlogloss:0.593730+0.014534
## [94] train-mlogloss:0.293998+0.004090 test-mlogloss:0.594928+0.014067
## [95] train-mlogloss:0.292033+0.004332 test-mlogloss:0.594968+0.014148
## [96] train-mlogloss:0.290193+0.004238 test-mlogloss:0.596147+0.014323
## [97] train-mlogloss:0.288652+0.004342 test-mlogloss:0.596804+0.014158
## [98] train-mlogloss:0.287477+0.004345 test-mlogloss:0.597558+0.014080
## [99] train-mlogloss:0.286211+0.004185 test-mlogloss:0.597651+0.013799
## [100] train-mlogloss:0.285238+0.003973 test-mlogloss:0.598442+0.014123
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## [109] train-mlogloss:0.271935+0.004468 test-mlogloss:0.603558+0.016276
## [110] train-mlogloss:0.270660+0.004423 test-mlogloss:0.603910+0.016167
## [111] train-mlogloss:0.269148+0.004505 test-mlogloss:0.603862+0.015929
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## [145] train-mlogloss:0.225540+0.004217 test-mlogloss:0.625027+0.016027
## [146] train-mlogloss:0.224223+0.004241 test-mlogloss:0.625441+0.015546
## [147] train-mlogloss:0.223127+0.004070 test-mlogloss:0.625730+0.015402
## [148] train-mlogloss:0.222025+0.003920 test-mlogloss:0.626855+0.015466
## [149] train-mlogloss:0.220814+0.003864 test-mlogloss:0.626991+0.015709
## [150] train-mlogloss:0.219789+0.004021 test-mlogloss:0.627865+0.016203
## [151] train-mlogloss:0.218758+0.004171 test-mlogloss:0.628500+0.016353
## [152] train-mlogloss:0.217884+0.004090 test-mlogloss:0.628984+0.016989
## [153] train-mlogloss:0.216708+0.004147 test-mlogloss:0.629289+0.016645
## [154] train-mlogloss:0.215378+0.004358 test-mlogloss:0.629094+0.016806
## [155] train-mlogloss:0.214220+0.004322 test-mlogloss:0.629570+0.016569
## [156] train-mlogloss:0.213192+0.004276 test-mlogloss:0.630237+0.016321
## [157] train-mlogloss:0.212071+0.004223 test-mlogloss:0.630615+0.016619
## [158] train-mlogloss:0.210860+0.004334 test-mlogloss:0.631537+0.016649
## [159] train-mlogloss:0.209940+0.004322 test-mlogloss:0.631990+0.016763
## [160] train-mlogloss:0.208851+0.004283 test-mlogloss:0.633123+0.016686
## [161] train-mlogloss:0.207705+0.004423 test-mlogloss:0.633710+0.016993
## [162] train-mlogloss:0.206690+0.004507 test-mlogloss:0.634036+0.017211
## [163] train-mlogloss:0.205567+0.004414 test-mlogloss:0.634647+0.017007
## [164] train-mlogloss:0.204485+0.004365 test-mlogloss:0.635334+0.017734
## [165] train-mlogloss:0.203252+0.004334 test-mlogloss:0.636315+0.017782
## [166] train-mlogloss:0.202357+0.004220 test-mlogloss:0.637238+0.018092
## [167] train-mlogloss:0.201450+0.004168 test-mlogloss:0.638253+0.017829
## [168] train-mlogloss:0.200460+0.004283 test-mlogloss:0.638830+0.018146
## [169] train-mlogloss:0.199461+0.004242 test-mlogloss:0.639336+0.018665
## [170] train-mlogloss:0.198602+0.004168 test-mlogloss:0.639685+0.018907
## [171] train-mlogloss:0.197679+0.004166 test-mlogloss:0.639784+0.019045
## [172] train-mlogloss:0.196506+0.004323 test-mlogloss:0.640010+0.018717
## [173] train-mlogloss:0.195398+0.004576 test-mlogloss:0.641059+0.019089
## [174] train-mlogloss:0.194335+0.004536 test-mlogloss:0.641833+0.019154
## [175] train-mlogloss:0.193430+0.004312 test-mlogloss:0.642144+0.018817
## [176] train-mlogloss:0.192533+0.004039 test-mlogloss:0.642421+0.018830
## [177] train-mlogloss:0.191654+0.003988 test-mlogloss:0.642826+0.018443
## [178] train-mlogloss:0.190632+0.003989 test-mlogloss:0.643359+0.018481
## [179] train-mlogloss:0.189743+0.003766 test-mlogloss:0.644260+0.018600
## [180] train-mlogloss:0.188782+0.003742 test-mlogloss:0.644745+0.018377
## [181] train-mlogloss:0.187966+0.003753 test-mlogloss:0.645573+0.018659
## [182] train-mlogloss:0.187004+0.003747 test-mlogloss:0.646146+0.018468
## [183] train-mlogloss:0.185949+0.003540 test-mlogloss:0.646946+0.018520
## [184] train-mlogloss:0.185024+0.003488 test-mlogloss:0.647740+0.018345
## [185] train-mlogloss:0.184183+0.003285 test-mlogloss:0.648753+0.018416
## [186] train-mlogloss:0.183226+0.003363 test-mlogloss:0.649442+0.018011
## [187] train-mlogloss:0.182465+0.003246 test-mlogloss:0.649755+0.018400
## [188] train-mlogloss:0.181523+0.003225 test-mlogloss:0.650435+0.019202
## [189] train-mlogloss:0.180935+0.003098 test-mlogloss:0.650967+0.019075
## [190] train-mlogloss:0.179934+0.002964 test-mlogloss:0.652168+0.019061
## [191] train-mlogloss:0.178924+0.002894 test-mlogloss:0.653017+0.018785
## [192] train-mlogloss:0.178102+0.002823 test-mlogloss:0.653366+0.018684
## [193] train-mlogloss:0.177154+0.002773 test-mlogloss:0.653640+0.019294
## [194] train-mlogloss:0.176264+0.002925 test-mlogloss:0.654634+0.018943
## [195] train-mlogloss:0.175491+0.003028 test-mlogloss:0.654831+0.019454
## [196] train-mlogloss:0.174550+0.002908 test-mlogloss:0.655609+0.019433
## [197] train-mlogloss:0.173807+0.002856 test-mlogloss:0.656526+0.019794
## [198] train-mlogloss:0.172849+0.002689 test-mlogloss:0.656637+0.020519
## [199] train-mlogloss:0.171991+0.002548 test-mlogloss:0.657329+0.021049
## [200] train-mlogloss:0.171195+0.002611 test-mlogloss:0.657585+0.021790
## [201] train-mlogloss:0.170404+0.002655 test-mlogloss:0.658483+0.022035
## [202] train-mlogloss:0.169640+0.002787 test-mlogloss:0.658867+0.021821
## [203] train-mlogloss:0.168749+0.002801 test-mlogloss:0.659540+0.021874
## [204] train-mlogloss:0.167834+0.002663 test-mlogloss:0.660689+0.021811
## [205] train-mlogloss:0.167061+0.002758 test-mlogloss:0.661323+0.021908
## [206] train-mlogloss:0.166194+0.002670 test-mlogloss:0.661680+0.021576
## [207] train-mlogloss:0.165386+0.002653 test-mlogloss:0.662226+0.021695
## [208] train-mlogloss:0.164736+0.002599 test-mlogloss:0.662999+0.021480
## [209] train-mlogloss:0.163913+0.002561 test-mlogloss:0.664081+0.021568
## [210] train-mlogloss:0.163277+0.002484 test-mlogloss:0.663919+0.021335
## [211] train-mlogloss:0.162615+0.002472 test-mlogloss:0.664586+0.020803
## [212] train-mlogloss:0.161837+0.002358 test-mlogloss:0.665237+0.020820
## [213] train-mlogloss:0.161157+0.002239 test-mlogloss:0.665770+0.020434
## [214] train-mlogloss:0.160331+0.002180 test-mlogloss:0.666684+0.020204
## [215] train-mlogloss:0.159502+0.002094 test-mlogloss:0.667554+0.019926
## [216] train-mlogloss:0.158698+0.002095 test-mlogloss:0.668391+0.019992
## [217] train-mlogloss:0.157863+0.002078 test-mlogloss:0.669085+0.020339
## [218] train-mlogloss:0.157015+0.002143 test-mlogloss:0.670481+0.020269
## [219] train-mlogloss:0.156223+0.002112 test-mlogloss:0.670877+0.020486
## [220] train-mlogloss:0.155443+0.002252 test-mlogloss:0.671919+0.020755
## [221] train-mlogloss:0.154548+0.002146 test-mlogloss:0.672417+0.020408
## [222] train-mlogloss:0.153677+0.002125 test-mlogloss:0.673022+0.020576
## [223] train-mlogloss:0.152843+0.001946 test-mlogloss:0.673881+0.019756
## [224] train-mlogloss:0.152091+0.001941 test-mlogloss:0.674307+0.019928
## [225] train-mlogloss:0.151377+0.001912 test-mlogloss:0.674780+0.019532
## [226] train-mlogloss:0.150642+0.001941 test-mlogloss:0.675049+0.019589
## [227] train-mlogloss:0.149830+0.002006 test-mlogloss:0.675638+0.019755
## [228] train-mlogloss:0.148923+0.002024 test-mlogloss:0.676081+0.020132
## [229] train-mlogloss:0.148261+0.002076 test-mlogloss:0.676824+0.020283
## [230] train-mlogloss:0.147444+0.001999 test-mlogloss:0.676365+0.020327
## [231] train-mlogloss:0.146711+0.001977 test-mlogloss:0.677448+0.020520
## [232] train-mlogloss:0.146165+0.001893 test-mlogloss:0.678040+0.019798
## [233] train-mlogloss:0.145511+0.002006 test-mlogloss:0.678493+0.019723
## [234] train-mlogloss:0.144819+0.001922 test-mlogloss:0.679114+0.019753
## [235] train-mlogloss:0.144187+0.001887 test-mlogloss:0.679661+0.019371
## [236] train-mlogloss:0.143611+0.001902 test-mlogloss:0.680019+0.019400
## [237] train-mlogloss:0.142909+0.001830 test-mlogloss:0.680489+0.019516
## [238] train-mlogloss:0.142238+0.001709 test-mlogloss:0.681197+0.019611
## [239] train-mlogloss:0.141498+0.001669 test-mlogloss:0.681777+0.019577
## [240] train-mlogloss:0.140921+0.001636 test-mlogloss:0.682366+0.019745
## [241] train-mlogloss:0.140304+0.001575 test-mlogloss:0.682973+0.019985
## [242] train-mlogloss:0.139503+0.001535 test-mlogloss:0.683894+0.019923
## [243] train-mlogloss:0.138859+0.001593 test-mlogloss:0.684666+0.020101
## [244] train-mlogloss:0.138213+0.001663 test-mlogloss:0.685152+0.020215
## [245] train-mlogloss:0.137637+0.001514 test-mlogloss:0.685837+0.020344
## [246] train-mlogloss:0.136984+0.001523 test-mlogloss:0.686390+0.020488
## [247] train-mlogloss:0.136206+0.001389 test-mlogloss:0.687559+0.020500
## [248] train-mlogloss:0.135609+0.001474 test-mlogloss:0.688021+0.020104
## [249] train-mlogloss:0.135006+0.001550 test-mlogloss:0.689056+0.020829
## [250] train-mlogloss:0.134469+0.001598 test-mlogloss:0.689715+0.020747
## [251] train-mlogloss:0.133829+0.001643 test-mlogloss:0.690160+0.020832
## [252] train-mlogloss:0.133199+0.001743 test-mlogloss:0.690514+0.021103
## [253] train-mlogloss:0.132609+0.001662 test-mlogloss:0.691123+0.021141
## [254] train-mlogloss:0.131962+0.001746 test-mlogloss:0.690915+0.021304
## [255] train-mlogloss:0.131277+0.001709 test-mlogloss:0.691424+0.021490
## [256] train-mlogloss:0.130610+0.001657 test-mlogloss:0.692003+0.020834
## [257] train-mlogloss:0.129995+0.001686 test-mlogloss:0.693007+0.020451
## [258] train-mlogloss:0.129249+0.001534 test-mlogloss:0.693440+0.020449
## [259] train-mlogloss:0.128600+0.001558 test-mlogloss:0.693723+0.020771
## [260] train-mlogloss:0.128033+0.001581 test-mlogloss:0.694700+0.021098
## [261] train-mlogloss:0.127495+0.001554 test-mlogloss:0.694828+0.021108
## [262] train-mlogloss:0.126951+0.001637 test-mlogloss:0.695542+0.021035
## [263] train-mlogloss:0.126315+0.001720 test-mlogloss:0.696043+0.021105
## [264] train-mlogloss:0.125683+0.001696 test-mlogloss:0.696587+0.021478
## [265] train-mlogloss:0.124939+0.001706 test-mlogloss:0.697344+0.021718
## [266] train-mlogloss:0.124314+0.001796 test-mlogloss:0.697490+0.022365
## [267] train-mlogloss:0.123868+0.001781 test-mlogloss:0.698225+0.022288
## [268] train-mlogloss:0.123429+0.001828 test-mlogloss:0.699226+0.022307
## [269] train-mlogloss:0.122854+0.001735 test-mlogloss:0.699794+0.021783
## [270] train-mlogloss:0.122259+0.001765 test-mlogloss:0.700155+0.021872
## [271] train-mlogloss:0.121669+0.001835 test-mlogloss:0.699983+0.021986
## [272] train-mlogloss:0.121066+0.001926 test-mlogloss:0.700522+0.022126
## [273] train-mlogloss:0.120505+0.002036 test-mlogloss:0.700807+0.022240
## [274] train-mlogloss:0.120002+0.002021 test-mlogloss:0.700989+0.022564
## [275] train-mlogloss:0.119474+0.001904 test-mlogloss:0.701736+0.022095
## [276] train-mlogloss:0.118961+0.001880 test-mlogloss:0.702280+0.022074
## [277] train-mlogloss:0.118497+0.001759 test-mlogloss:0.702676+0.022576
## [278] train-mlogloss:0.118023+0.001680 test-mlogloss:0.703541+0.022949
## [279] train-mlogloss:0.117609+0.001580 test-mlogloss:0.703903+0.022910
## [280] train-mlogloss:0.117046+0.001497 test-mlogloss:0.704723+0.023251
## [281] train-mlogloss:0.116614+0.001439 test-mlogloss:0.704920+0.022891
## [282] train-mlogloss:0.116103+0.001479 test-mlogloss:0.705421+0.023142
## [283] train-mlogloss:0.115530+0.001458 test-mlogloss:0.706284+0.023283
## [284] train-mlogloss:0.115084+0.001489 test-mlogloss:0.706493+0.023196
## [285] train-mlogloss:0.114693+0.001509 test-mlogloss:0.706693+0.023478
## [286] train-mlogloss:0.114275+0.001599 test-mlogloss:0.706980+0.023630
## [287] train-mlogloss:0.113755+0.001621 test-mlogloss:0.707529+0.023199
## [288] train-mlogloss:0.113272+0.001615 test-mlogloss:0.708306+0.023354
## [289] train-mlogloss:0.112823+0.001546 test-mlogloss:0.708983+0.023519
## [290] train-mlogloss:0.112387+0.001583 test-mlogloss:0.709465+0.023921
## [291] train-mlogloss:0.111957+0.001571 test-mlogloss:0.710340+0.023897
## [292] train-mlogloss:0.111434+0.001730 test-mlogloss:0.711011+0.024505
## [293] train-mlogloss:0.110957+0.001732 test-mlogloss:0.711800+0.024840
## [294] train-mlogloss:0.110406+0.001703 test-mlogloss:0.712254+0.024623
## [295] train-mlogloss:0.110057+0.001757 test-mlogloss:0.712800+0.024860
## [296] train-mlogloss:0.109589+0.001796 test-mlogloss:0.713430+0.024975
## [297] train-mlogloss:0.109061+0.001822 test-mlogloss:0.714081+0.025056
## [298] train-mlogloss:0.108558+0.001805 test-mlogloss:0.714206+0.025116
## [299] train-mlogloss:0.108177+0.001795 test-mlogloss:0.714806+0.024929
## [300] train-mlogloss:0.107646+0.001791 test-mlogloss:0.714838+0.025105
## [301] train-mlogloss:0.107224+0.001846 test-mlogloss:0.715256+0.025339
## [302] train-mlogloss:0.106841+0.001851 test-mlogloss:0.715901+0.025234
## [303] train-mlogloss:0.106396+0.001858 test-mlogloss:0.716867+0.025100
## [304] train-mlogloss:0.105861+0.001792 test-mlogloss:0.716876+0.024735
## [305] train-mlogloss:0.105364+0.001789 test-mlogloss:0.717710+0.025232
## [306] train-mlogloss:0.104936+0.001880 test-mlogloss:0.718244+0.025244
## [307] train-mlogloss:0.104553+0.001860 test-mlogloss:0.719195+0.024754
## [308] train-mlogloss:0.104084+0.001905 test-mlogloss:0.719468+0.024638
## [309] train-mlogloss:0.103655+0.001929 test-mlogloss:0.719538+0.024897
## [310] train-mlogloss:0.103163+0.001887 test-mlogloss:0.720054+0.024734
## [311] train-mlogloss:0.102662+0.001821 test-mlogloss:0.720914+0.024390
## [312] train-mlogloss:0.102247+0.001796 test-mlogloss:0.721189+0.024196
## [313] train-mlogloss:0.101872+0.001772 test-mlogloss:0.721183+0.023696
## [314] train-mlogloss:0.101389+0.001828 test-mlogloss:0.722189+0.023261
## [315] train-mlogloss:0.100954+0.001883 test-mlogloss:0.722940+0.023043
## [316] train-mlogloss:0.100491+0.001839 test-mlogloss:0.723340+0.022810
## [317] train-mlogloss:0.100114+0.001825 test-mlogloss:0.723861+0.022638
## [318] train-mlogloss:0.099655+0.001870 test-mlogloss:0.724097+0.022751
## [319] train-mlogloss:0.099171+0.001838 test-mlogloss:0.724935+0.022909
## [320] train-mlogloss:0.098683+0.001843 test-mlogloss:0.725654+0.023306
## [321] train-mlogloss:0.098234+0.001744 test-mlogloss:0.726607+0.023482
## [322] train-mlogloss:0.097885+0.001697 test-mlogloss:0.726905+0.023474
## [323] train-mlogloss:0.097419+0.001603 test-mlogloss:0.727463+0.023208
## [324] train-mlogloss:0.096981+0.001529 test-mlogloss:0.728270+0.023728
## [325] train-mlogloss:0.096504+0.001482 test-mlogloss:0.728409+0.024120
## [326] train-mlogloss:0.096066+0.001504 test-mlogloss:0.728665+0.023529
## [327] train-mlogloss:0.095653+0.001512 test-mlogloss:0.728854+0.023953
## [328] train-mlogloss:0.095162+0.001448 test-mlogloss:0.729224+0.023355
## [329] train-mlogloss:0.094787+0.001447 test-mlogloss:0.729451+0.023301
## [330] train-mlogloss:0.094419+0.001524 test-mlogloss:0.730368+0.023390
## [331] train-mlogloss:0.093972+0.001564 test-mlogloss:0.730844+0.023637
## [332] train-mlogloss:0.093503+0.001506 test-mlogloss:0.731492+0.023588
## [333] train-mlogloss:0.093093+0.001463 test-mlogloss:0.731386+0.023758
## [334] train-mlogloss:0.092760+0.001509 test-mlogloss:0.732290+0.024130
## [335] train-mlogloss:0.092411+0.001481 test-mlogloss:0.732928+0.024444
## [336] train-mlogloss:0.092071+0.001539 test-mlogloss:0.733741+0.024758
## [337] train-mlogloss:0.091593+0.001567 test-mlogloss:0.734331+0.024528
## [338] train-mlogloss:0.091164+0.001620 test-mlogloss:0.735065+0.025076
## [339] train-mlogloss:0.090814+0.001600 test-mlogloss:0.735726+0.024830
## [340] train-mlogloss:0.090417+0.001593 test-mlogloss:0.736709+0.024629
## [341] train-mlogloss:0.090091+0.001579 test-mlogloss:0.737583+0.024950
## [342] train-mlogloss:0.089821+0.001542 test-mlogloss:0.737786+0.024630
## [343] train-mlogloss:0.089461+0.001599 test-mlogloss:0.738208+0.024650
## [344] train-mlogloss:0.089093+0.001599 test-mlogloss:0.738587+0.024813
## [345] train-mlogloss:0.088785+0.001650 test-mlogloss:0.738725+0.024861
## [346] train-mlogloss:0.088427+0.001637 test-mlogloss:0.739317+0.025106
## [347] train-mlogloss:0.088053+0.001603 test-mlogloss:0.740073+0.024937
## [348] train-mlogloss:0.087695+0.001592 test-mlogloss:0.740580+0.024814
## [349] train-mlogloss:0.087369+0.001639 test-mlogloss:0.741327+0.025018
## [350] train-mlogloss:0.087042+0.001611 test-mlogloss:0.741856+0.024499
## [351] train-mlogloss:0.086734+0.001664 test-mlogloss:0.742787+0.024227
## [352] train-mlogloss:0.086448+0.001671 test-mlogloss:0.742898+0.023868
## [353] train-mlogloss:0.086041+0.001684 test-mlogloss:0.743524+0.024149
## [354] train-mlogloss:0.085625+0.001651 test-mlogloss:0.743893+0.024496
## [355] train-mlogloss:0.085298+0.001720 test-mlogloss:0.743892+0.024845
## [356] train-mlogloss:0.084966+0.001610 test-mlogloss:0.744505+0.024582
## [357] train-mlogloss:0.084657+0.001615 test-mlogloss:0.745326+0.024954
## [358] train-mlogloss:0.084339+0.001572 test-mlogloss:0.746189+0.025147
## [359] train-mlogloss:0.084019+0.001632 test-mlogloss:0.746816+0.025365
## [360] train-mlogloss:0.083718+0.001622 test-mlogloss:0.747378+0.025294
## [361] train-mlogloss:0.083406+0.001650 test-mlogloss:0.747980+0.024945
## [362] train-mlogloss:0.083064+0.001606 test-mlogloss:0.749113+0.024748
## [363] train-mlogloss:0.082730+0.001603 test-mlogloss:0.749844+0.025264
## [364] train-mlogloss:0.082432+0.001630 test-mlogloss:0.749930+0.025757
## [365] train-mlogloss:0.082139+0.001604 test-mlogloss:0.750239+0.025485
## [366] train-mlogloss:0.081824+0.001658 test-mlogloss:0.750314+0.025580
## [367] train-mlogloss:0.081519+0.001687 test-mlogloss:0.751075+0.025928
## [368] train-mlogloss:0.081203+0.001676 test-mlogloss:0.751683+0.026009
## [369] train-mlogloss:0.080869+0.001689 test-mlogloss:0.752040+0.025873
## [370] train-mlogloss:0.080514+0.001653 test-mlogloss:0.752743+0.025614
## [371] train-mlogloss:0.080219+0.001692 test-mlogloss:0.753366+0.025576
## [372] train-mlogloss:0.079822+0.001764 test-mlogloss:0.754115+0.026127
## [373] train-mlogloss:0.079507+0.001722 test-mlogloss:0.754933+0.025964
## [374] train-mlogloss:0.079197+0.001719 test-mlogloss:0.755342+0.026814
## [375] train-mlogloss:0.078912+0.001763 test-mlogloss:0.755537+0.026781
## [376] train-mlogloss:0.078597+0.001734 test-mlogloss:0.755834+0.026820
## [377] train-mlogloss:0.078281+0.001657 test-mlogloss:0.756151+0.026408
## [378] train-mlogloss:0.077982+0.001637 test-mlogloss:0.756561+0.026412
## [379] train-mlogloss:0.077674+0.001609 test-mlogloss:0.756887+0.026350
## [380] train-mlogloss:0.077289+0.001482 test-mlogloss:0.757314+0.026009
## [381] train-mlogloss:0.076997+0.001452 test-mlogloss:0.758015+0.025900
## [382] train-mlogloss:0.076708+0.001437 test-mlogloss:0.758068+0.025800
## [383] train-mlogloss:0.076440+0.001391 test-mlogloss:0.758924+0.025742
## [384] train-mlogloss:0.076152+0.001411 test-mlogloss:0.759388+0.025315
## [385] train-mlogloss:0.075887+0.001403 test-mlogloss:0.759532+0.025536
## [386] train-mlogloss:0.075609+0.001383 test-mlogloss:0.759608+0.025372
## [387] train-mlogloss:0.075284+0.001378 test-mlogloss:0.760386+0.025250
## [388] train-mlogloss:0.075013+0.001341 test-mlogloss:0.760998+0.025295
## [389] train-mlogloss:0.074730+0.001446 test-mlogloss:0.761688+0.025578
## [390] train-mlogloss:0.074478+0.001445 test-mlogloss:0.762437+0.025737
## [391] train-mlogloss:0.074220+0.001421 test-mlogloss:0.762474+0.025690
## [392] train-mlogloss:0.073942+0.001433 test-mlogloss:0.762891+0.026322
## [393] train-mlogloss:0.073645+0.001407 test-mlogloss:0.763479+0.026413
## [394] train-mlogloss:0.073416+0.001363 test-mlogloss:0.764022+0.026389
## [395] train-mlogloss:0.073158+0.001414 test-mlogloss:0.764413+0.026322
## [396] train-mlogloss:0.072864+0.001457 test-mlogloss:0.764682+0.026652
## [397] train-mlogloss:0.072548+0.001523 test-mlogloss:0.765429+0.026655
## [398] train-mlogloss:0.072290+0.001482 test-mlogloss:0.766156+0.026268
## [399] train-mlogloss:0.071996+0.001496 test-mlogloss:0.766816+0.025808
## [400] train-mlogloss:0.071732+0.001482 test-mlogloss:0.767893+0.025222
## [401] train-mlogloss:0.071435+0.001454 test-mlogloss:0.768496+0.025415
## [402] train-mlogloss:0.071157+0.001493 test-mlogloss:0.768853+0.025777
## [403] train-mlogloss:0.070840+0.001492 test-mlogloss:0.769523+0.025771
## [404] train-mlogloss:0.070528+0.001513 test-mlogloss:0.770085+0.025986
## [405] train-mlogloss:0.070324+0.001569 test-mlogloss:0.770180+0.026013
## [406] train-mlogloss:0.070107+0.001588 test-mlogloss:0.770306+0.026021
## [407] train-mlogloss:0.069873+0.001559 test-mlogloss:0.770780+0.026294
## [408] train-mlogloss:0.069591+0.001496 test-mlogloss:0.771689+0.026196
## [409] train-mlogloss:0.069334+0.001428 test-mlogloss:0.771986+0.026181
## [410] train-mlogloss:0.069031+0.001448 test-mlogloss:0.772333+0.026359
## [411] train-mlogloss:0.068832+0.001458 test-mlogloss:0.772631+0.026837
## [412] train-mlogloss:0.068574+0.001404 test-mlogloss:0.773447+0.027124
## [413] train-mlogloss:0.068331+0.001391 test-mlogloss:0.773845+0.027095
## [414] train-mlogloss:0.068011+0.001353 test-mlogloss:0.774424+0.026815
## [415] train-mlogloss:0.067776+0.001347 test-mlogloss:0.774636+0.026949
## [416] train-mlogloss:0.067501+0.001317 test-mlogloss:0.775166+0.026886
## [417] train-mlogloss:0.067262+0.001269 test-mlogloss:0.776061+0.026723
## [418] train-mlogloss:0.067019+0.001287 test-mlogloss:0.776872+0.026610
## [419] train-mlogloss:0.066795+0.001273 test-mlogloss:0.777123+0.026758
## [420] train-mlogloss:0.066539+0.001247 test-mlogloss:0.777388+0.026969
## [421] train-mlogloss:0.066313+0.001257 test-mlogloss:0.777482+0.026648
## [422] train-mlogloss:0.066089+0.001273 test-mlogloss:0.777862+0.026731
## [423] train-mlogloss:0.065876+0.001285 test-mlogloss:0.778684+0.026252
## [424] train-mlogloss:0.065600+0.001247 test-mlogloss:0.779386+0.026210
## [425] train-mlogloss:0.065365+0.001224 test-mlogloss:0.779737+0.026576
## [426] train-mlogloss:0.065125+0.001219 test-mlogloss:0.780389+0.026759
## [427] train-mlogloss:0.064874+0.001257 test-mlogloss:0.780727+0.026709
## [428] train-mlogloss:0.064617+0.001247 test-mlogloss:0.780987+0.027172
## [429] train-mlogloss:0.064400+0.001228 test-mlogloss:0.781546+0.027756
## [430] train-mlogloss:0.064170+0.001221 test-mlogloss:0.782094+0.027482
## [431] train-mlogloss:0.063961+0.001215 test-mlogloss:0.782424+0.027188
## [432] train-mlogloss:0.063760+0.001196 test-mlogloss:0.782958+0.027415
## [433] train-mlogloss:0.063538+0.001172 test-mlogloss:0.783565+0.027617
## [434] train-mlogloss:0.063371+0.001184 test-mlogloss:0.784312+0.027576
## [435] train-mlogloss:0.063182+0.001184 test-mlogloss:0.784969+0.028015
## [436] train-mlogloss:0.062882+0.001176 test-mlogloss:0.785521+0.027269
## [437] train-mlogloss:0.062599+0.001167 test-mlogloss:0.785779+0.027407
## [438] train-mlogloss:0.062410+0.001188 test-mlogloss:0.785964+0.027540
## [439] train-mlogloss:0.062227+0.001209 test-mlogloss:0.785982+0.027793
## [440] train-mlogloss:0.061977+0.001214 test-mlogloss:0.786843+0.027553
## [441] train-mlogloss:0.061781+0.001217 test-mlogloss:0.787159+0.027685
## [442] train-mlogloss:0.061501+0.001247 test-mlogloss:0.787472+0.027988
## [443] train-mlogloss:0.061252+0.001215 test-mlogloss:0.788464+0.027756
## [444] train-mlogloss:0.061016+0.001171 test-mlogloss:0.788950+0.027909
## [445] train-mlogloss:0.060815+0.001139 test-mlogloss:0.789121+0.028002
## [446] train-mlogloss:0.060574+0.001131 test-mlogloss:0.789786+0.028328
## [447] train-mlogloss:0.060291+0.001121 test-mlogloss:0.790246+0.028881
## [448] train-mlogloss:0.060053+0.001122 test-mlogloss:0.790673+0.029031
## [449] train-mlogloss:0.059875+0.001110 test-mlogloss:0.790978+0.028850
## [450] train-mlogloss:0.059697+0.001155 test-mlogloss:0.791161+0.028887
## [451] train-mlogloss:0.059526+0.001181 test-mlogloss:0.792221+0.028953
## [452] train-mlogloss:0.059318+0.001194 test-mlogloss:0.792750+0.028861
## [453] train-mlogloss:0.059072+0.001215 test-mlogloss:0.793286+0.028883
## [454] train-mlogloss:0.058875+0.001216 test-mlogloss:0.793619+0.029273
## [455] train-mlogloss:0.058680+0.001168 test-mlogloss:0.794378+0.029281
## [456] train-mlogloss:0.058488+0.001200 test-mlogloss:0.794740+0.028745
## [457] train-mlogloss:0.058330+0.001192 test-mlogloss:0.794996+0.028542
## [458] train-mlogloss:0.058140+0.001200 test-mlogloss:0.795716+0.028537
## [459] train-mlogloss:0.057936+0.001189 test-mlogloss:0.795747+0.028563
## [460] train-mlogloss:0.057737+0.001169 test-mlogloss:0.796288+0.029151
## [461] train-mlogloss:0.057522+0.001152 test-mlogloss:0.796614+0.029144
## [462] train-mlogloss:0.057311+0.001161 test-mlogloss:0.797089+0.029276
## [463] train-mlogloss:0.057128+0.001160 test-mlogloss:0.797780+0.029450
## [464] train-mlogloss:0.056907+0.001113 test-mlogloss:0.797994+0.029424
## [465] train-mlogloss:0.056709+0.001073 test-mlogloss:0.798760+0.029063
## [466] train-mlogloss:0.056533+0.001069 test-mlogloss:0.798501+0.029309
## [467] train-mlogloss:0.056363+0.001098 test-mlogloss:0.798678+0.029342
## [468] train-mlogloss:0.056146+0.001100 test-mlogloss:0.799041+0.029751
## [469] train-mlogloss:0.055904+0.001114 test-mlogloss:0.799776+0.029541
## [470] train-mlogloss:0.055701+0.001119 test-mlogloss:0.800215+0.029283
## [471] train-mlogloss:0.055490+0.001156 test-mlogloss:0.800624+0.029022
## [472] train-mlogloss:0.055284+0.001174 test-mlogloss:0.800999+0.029241
## [473] train-mlogloss:0.055133+0.001153 test-mlogloss:0.801642+0.029581
## [474] train-mlogloss:0.054924+0.001102 test-mlogloss:0.801643+0.029460
## [475] train-mlogloss:0.054748+0.001100 test-mlogloss:0.801977+0.029691
## [476] train-mlogloss:0.054563+0.001100 test-mlogloss:0.802723+0.029716
## [477] train-mlogloss:0.054373+0.001110 test-mlogloss:0.802987+0.029587
## [478] train-mlogloss:0.054173+0.001099 test-mlogloss:0.803157+0.029900
## [479] train-mlogloss:0.053988+0.001090 test-mlogloss:0.803644+0.030177
## [480] train-mlogloss:0.053798+0.001106 test-mlogloss:0.803773+0.030008
## [481] train-mlogloss:0.053629+0.001122 test-mlogloss:0.804269+0.029671
## [482] train-mlogloss:0.053460+0.001106 test-mlogloss:0.805455+0.029791
## [483] train-mlogloss:0.053298+0.001140 test-mlogloss:0.805851+0.029620
## [484] train-mlogloss:0.053084+0.001124 test-mlogloss:0.806163+0.029537
## [485] train-mlogloss:0.052914+0.001140 test-mlogloss:0.806570+0.029809
## [486] train-mlogloss:0.052726+0.001136 test-mlogloss:0.807613+0.030074
## [487] train-mlogloss:0.052553+0.001108 test-mlogloss:0.808079+0.030077
## [488] train-mlogloss:0.052361+0.001112 test-mlogloss:0.808336+0.029583
## [489] train-mlogloss:0.052209+0.001102 test-mlogloss:0.808931+0.029671
## [490] train-mlogloss:0.052010+0.001048 test-mlogloss:0.809561+0.029812
## [491] train-mlogloss:0.051840+0.001091 test-mlogloss:0.810131+0.030149
## [492] train-mlogloss:0.051667+0.001044 test-mlogloss:0.810713+0.029781
## [493] train-mlogloss:0.051478+0.001051 test-mlogloss:0.811276+0.029279
## [494] train-mlogloss:0.051319+0.001035 test-mlogloss:0.811638+0.029622
## [495] train-mlogloss:0.051144+0.001043 test-mlogloss:0.812382+0.029889
## [496] train-mlogloss:0.050975+0.001058 test-mlogloss:0.813070+0.029488
## [497] train-mlogloss:0.050832+0.001065 test-mlogloss:0.813570+0.029507
## [498] train-mlogloss:0.050693+0.001062 test-mlogloss:0.814020+0.029699
## [499] train-mlogloss:0.050554+0.001062 test-mlogloss:0.814712+0.029463
## [500] train-mlogloss:0.050390+0.001070 test-mlogloss:0.815191+0.029197
## [1] train-mlogloss:0.578518+0.002265 test-mlogloss:0.629383+0.003547
## [2] train-mlogloss:0.505012+0.002412 test-mlogloss:0.597264+0.006753
## [3] train-mlogloss:0.449553+0.002584 test-mlogloss:0.579298+0.010333
## [4] train-mlogloss:0.405243+0.002616 test-mlogloss:0.570462+0.009980
## [5] train-mlogloss:0.369522+0.002244 test-mlogloss:0.566130+0.012773
## [6] train-mlogloss:0.339409+0.002113 test-mlogloss:0.564195+0.015255
## [7] train-mlogloss:0.313467+0.002109 test-mlogloss:0.564858+0.016483
## [8] train-mlogloss:0.292031+0.002212 test-mlogloss:0.566352+0.017241
## [9] train-mlogloss:0.272951+0.002614 test-mlogloss:0.569285+0.017571
## [10] train-mlogloss:0.258565+0.004400 test-mlogloss:0.570643+0.019674
## [11] train-mlogloss:0.244699+0.005048 test-mlogloss:0.573841+0.019593
## [12] train-mlogloss:0.232361+0.005072 test-mlogloss:0.576954+0.020720
## [13] train-mlogloss:0.221720+0.004524 test-mlogloss:0.580097+0.021366
## [14] train-mlogloss:0.210069+0.004455 test-mlogloss:0.583711+0.022896
## [15] train-mlogloss:0.200014+0.004316 test-mlogloss:0.587798+0.023875
## [16] train-mlogloss:0.190119+0.004073 test-mlogloss:0.591449+0.024800
## [17] train-mlogloss:0.181320+0.003554 test-mlogloss:0.594803+0.025506
## [18] train-mlogloss:0.173502+0.003759 test-mlogloss:0.598471+0.026667
## [19] train-mlogloss:0.167238+0.004455 test-mlogloss:0.601598+0.027495
## [20] train-mlogloss:0.159911+0.004003 test-mlogloss:0.604477+0.027673
## [21] train-mlogloss:0.153769+0.003145 test-mlogloss:0.606037+0.028097
## [22] train-mlogloss:0.147715+0.002892 test-mlogloss:0.610161+0.029258
## [23] train-mlogloss:0.142023+0.003177 test-mlogloss:0.613871+0.029782
## [24] train-mlogloss:0.136418+0.002911 test-mlogloss:0.617266+0.029734
## [25] train-mlogloss:0.131346+0.002751 test-mlogloss:0.619642+0.031539
## [26] train-mlogloss:0.126755+0.002815 test-mlogloss:0.623065+0.032066
## [27] train-mlogloss:0.122006+0.002822 test-mlogloss:0.626558+0.032133
## [28] train-mlogloss:0.117870+0.002575 test-mlogloss:0.630212+0.032444
## [29] train-mlogloss:0.114146+0.002443 test-mlogloss:0.633635+0.033752
## [30] train-mlogloss:0.110250+0.002402 test-mlogloss:0.636716+0.035194
## [31] train-mlogloss:0.106595+0.002159 test-mlogloss:0.639416+0.035139
## [32] train-mlogloss:0.103290+0.002110 test-mlogloss:0.641953+0.035766
## [33] train-mlogloss:0.100320+0.001975 test-mlogloss:0.644679+0.035549
## [34] train-mlogloss:0.097518+0.001714 test-mlogloss:0.646909+0.035642
## [35] train-mlogloss:0.094665+0.001679 test-mlogloss:0.649038+0.036145
## [36] train-mlogloss:0.091955+0.001654 test-mlogloss:0.652205+0.036248
## [37] train-mlogloss:0.089392+0.001568 test-mlogloss:0.653973+0.037285
## [38] train-mlogloss:0.086915+0.001454 test-mlogloss:0.656464+0.037828
## [39] train-mlogloss:0.084574+0.001404 test-mlogloss:0.658701+0.037686
## [40] train-mlogloss:0.082361+0.001290 test-mlogloss:0.662029+0.038240
## [41] train-mlogloss:0.080357+0.001356 test-mlogloss:0.664487+0.038215
## [42] train-mlogloss:0.078425+0.001383 test-mlogloss:0.667547+0.039205
## [43] train-mlogloss:0.076554+0.001335 test-mlogloss:0.669107+0.039296
## [44] train-mlogloss:0.074734+0.001310 test-mlogloss:0.670647+0.039555
## [45] train-mlogloss:0.073055+0.001347 test-mlogloss:0.672398+0.039544
## [46] train-mlogloss:0.071385+0.001251 test-mlogloss:0.674164+0.039312
## [47] train-mlogloss:0.069844+0.001166 test-mlogloss:0.677392+0.039468
## [48] train-mlogloss:0.068256+0.001146 test-mlogloss:0.680123+0.038899
## [49] train-mlogloss:0.066770+0.001122 test-mlogloss:0.681848+0.038827
## [50] train-mlogloss:0.065373+0.001061 test-mlogloss:0.684198+0.039258
## [51] train-mlogloss:0.064082+0.001131 test-mlogloss:0.686839+0.039089
## [52] train-mlogloss:0.062794+0.001100 test-mlogloss:0.688829+0.039224
## [53] train-mlogloss:0.061506+0.001034 test-mlogloss:0.690794+0.039458
## [54] train-mlogloss:0.060325+0.000967 test-mlogloss:0.692025+0.039694
## [55] train-mlogloss:0.059150+0.000914 test-mlogloss:0.693069+0.039985
## [56] train-mlogloss:0.058044+0.000900 test-mlogloss:0.695108+0.039977
## [57] train-mlogloss:0.056953+0.000879 test-mlogloss:0.696524+0.039772
## [58] train-mlogloss:0.055963+0.000870 test-mlogloss:0.697869+0.040398
## [59] train-mlogloss:0.055000+0.000847 test-mlogloss:0.699427+0.041363
## [60] train-mlogloss:0.054062+0.000823 test-mlogloss:0.701498+0.041404
## [61] train-mlogloss:0.053159+0.000803 test-mlogloss:0.703174+0.042249
## [62] train-mlogloss:0.052248+0.000772 test-mlogloss:0.705332+0.042371
## [63] train-mlogloss:0.051370+0.000746 test-mlogloss:0.707230+0.042628
## [64] train-mlogloss:0.050557+0.000706 test-mlogloss:0.709502+0.042946
## [65] train-mlogloss:0.049778+0.000677 test-mlogloss:0.711053+0.042568
## [66] train-mlogloss:0.049007+0.000689 test-mlogloss:0.712163+0.042766
## [67] train-mlogloss:0.048272+0.000665 test-mlogloss:0.714306+0.042999
## [68] train-mlogloss:0.047570+0.000679 test-mlogloss:0.715678+0.042589
## [69] train-mlogloss:0.046845+0.000680 test-mlogloss:0.717617+0.043187
## [70] train-mlogloss:0.046179+0.000702 test-mlogloss:0.719188+0.043712
## [71] train-mlogloss:0.045566+0.000703 test-mlogloss:0.719975+0.043654
## [72] train-mlogloss:0.044951+0.000724 test-mlogloss:0.721009+0.044295
## [73] train-mlogloss:0.044360+0.000739 test-mlogloss:0.721947+0.043973
## [74] train-mlogloss:0.043753+0.000725 test-mlogloss:0.724289+0.044390
## [75] train-mlogloss:0.043180+0.000730 test-mlogloss:0.725314+0.044409
## [76] train-mlogloss:0.042620+0.000711 test-mlogloss:0.726964+0.044355
## [77] train-mlogloss:0.042061+0.000707 test-mlogloss:0.728063+0.044401
## [78] train-mlogloss:0.041519+0.000733 test-mlogloss:0.729704+0.044184
## [79] train-mlogloss:0.040990+0.000700 test-mlogloss:0.731077+0.043817
## [80] train-mlogloss:0.040501+0.000679 test-mlogloss:0.732921+0.044073
## [81] train-mlogloss:0.040006+0.000678 test-mlogloss:0.734358+0.044326
## [82] train-mlogloss:0.039503+0.000675 test-mlogloss:0.736064+0.044826
## [83] train-mlogloss:0.039037+0.000677 test-mlogloss:0.737254+0.045310
## [84] train-mlogloss:0.038593+0.000646 test-mlogloss:0.738859+0.045092
## [85] train-mlogloss:0.038136+0.000607 test-mlogloss:0.740278+0.045334
## [86] train-mlogloss:0.037732+0.000621 test-mlogloss:0.741760+0.045017
## [87] train-mlogloss:0.037331+0.000635 test-mlogloss:0.743033+0.045183
## [88] train-mlogloss:0.036898+0.000629 test-mlogloss:0.744630+0.045509
## [89] train-mlogloss:0.036491+0.000636 test-mlogloss:0.745816+0.045519
## [90] train-mlogloss:0.036105+0.000605 test-mlogloss:0.746529+0.045969
## [91] train-mlogloss:0.035715+0.000597 test-mlogloss:0.747621+0.046092
## [92] train-mlogloss:0.035363+0.000597 test-mlogloss:0.748570+0.046059
## [93] train-mlogloss:0.034998+0.000575 test-mlogloss:0.749376+0.046603
## [94] train-mlogloss:0.034608+0.000556 test-mlogloss:0.750422+0.046703
## [95] train-mlogloss:0.034261+0.000537 test-mlogloss:0.751420+0.046716
## [96] train-mlogloss:0.033940+0.000551 test-mlogloss:0.752559+0.046477
## [97] train-mlogloss:0.033611+0.000549 test-mlogloss:0.754150+0.046868
## [98] train-mlogloss:0.033297+0.000553 test-mlogloss:0.755359+0.046629
## [99] train-mlogloss:0.032960+0.000543 test-mlogloss:0.756453+0.046472
## [100] train-mlogloss:0.032633+0.000527 test-mlogloss:0.757447+0.046142
## [101] train-mlogloss:0.032309+0.000509 test-mlogloss:0.758710+0.046133
## [102] train-mlogloss:0.032021+0.000515 test-mlogloss:0.760242+0.046586
## [103] train-mlogloss:0.031707+0.000516 test-mlogloss:0.761503+0.046709
## [104] train-mlogloss:0.031422+0.000515 test-mlogloss:0.762311+0.046296
## [105] train-mlogloss:0.031137+0.000498 test-mlogloss:0.763356+0.046907
## [106] train-mlogloss:0.030863+0.000506 test-mlogloss:0.765068+0.047091
## [107] train-mlogloss:0.030592+0.000502 test-mlogloss:0.765920+0.046770
## [108] train-mlogloss:0.030324+0.000499 test-mlogloss:0.767336+0.046036
## [109] train-mlogloss:0.030069+0.000490 test-mlogloss:0.768730+0.045810
## [110] train-mlogloss:0.029826+0.000484 test-mlogloss:0.769637+0.045244
## [111] train-mlogloss:0.029567+0.000464 test-mlogloss:0.770185+0.045146
## [112] train-mlogloss:0.029317+0.000452 test-mlogloss:0.771528+0.045351
## [113] train-mlogloss:0.029088+0.000457 test-mlogloss:0.773149+0.045355
## [114] train-mlogloss:0.028844+0.000447 test-mlogloss:0.773900+0.045221
## [115] train-mlogloss:0.028616+0.000451 test-mlogloss:0.774808+0.045834
## [116] train-mlogloss:0.028395+0.000447 test-mlogloss:0.775394+0.046147
## [117] train-mlogloss:0.028179+0.000440 test-mlogloss:0.776186+0.046311
## [118] train-mlogloss:0.027972+0.000439 test-mlogloss:0.777031+0.046556
## [119] train-mlogloss:0.027747+0.000430 test-mlogloss:0.777374+0.046611
## [120] train-mlogloss:0.027545+0.000423 test-mlogloss:0.777634+0.046677
## [121] train-mlogloss:0.027346+0.000424 test-mlogloss:0.778282+0.046711
## [122] train-mlogloss:0.027150+0.000414 test-mlogloss:0.779173+0.046657
## [123] train-mlogloss:0.026950+0.000409 test-mlogloss:0.780367+0.047193
## [124] train-mlogloss:0.026753+0.000406 test-mlogloss:0.781630+0.047052
## [125] train-mlogloss:0.026562+0.000404 test-mlogloss:0.783073+0.047465
## [126] train-mlogloss:0.026356+0.000401 test-mlogloss:0.784356+0.047520
## [127] train-mlogloss:0.026169+0.000381 test-mlogloss:0.785166+0.047482
## [128] train-mlogloss:0.025999+0.000380 test-mlogloss:0.785869+0.047342
## [129] train-mlogloss:0.025812+0.000375 test-mlogloss:0.786377+0.047134
## [130] train-mlogloss:0.025638+0.000380 test-mlogloss:0.786998+0.047369
## [131] train-mlogloss:0.025458+0.000369 test-mlogloss:0.787511+0.047366
## [132] train-mlogloss:0.025292+0.000357 test-mlogloss:0.788530+0.047678
## [133] train-mlogloss:0.025117+0.000358 test-mlogloss:0.789300+0.048348
## [134] train-mlogloss:0.024950+0.000339 test-mlogloss:0.789950+0.048038
## [135] train-mlogloss:0.024799+0.000342 test-mlogloss:0.791090+0.048446
## [136] train-mlogloss:0.024638+0.000354 test-mlogloss:0.792510+0.048649
## [137] train-mlogloss:0.024486+0.000357 test-mlogloss:0.793491+0.048718
## [138] train-mlogloss:0.024330+0.000353 test-mlogloss:0.794357+0.048864
## [139] train-mlogloss:0.024172+0.000357 test-mlogloss:0.794993+0.048644
## [140] train-mlogloss:0.024029+0.000348 test-mlogloss:0.795904+0.048975
## [141] train-mlogloss:0.023881+0.000344 test-mlogloss:0.796886+0.049431
## [142] train-mlogloss:0.023734+0.000334 test-mlogloss:0.798321+0.049670
## [143] train-mlogloss:0.023588+0.000335 test-mlogloss:0.799534+0.049492
## [144] train-mlogloss:0.023445+0.000337 test-mlogloss:0.799663+0.049467
## [145] train-mlogloss:0.023310+0.000337 test-mlogloss:0.800317+0.049268
## [146] train-mlogloss:0.023168+0.000333 test-mlogloss:0.801610+0.049104
## [147] train-mlogloss:0.023035+0.000332 test-mlogloss:0.802713+0.049711
## [148] train-mlogloss:0.022902+0.000334 test-mlogloss:0.803439+0.049481
## [149] train-mlogloss:0.022759+0.000342 test-mlogloss:0.804234+0.049617
## [150] train-mlogloss:0.022627+0.000338 test-mlogloss:0.805017+0.049623
## [151] train-mlogloss:0.022494+0.000343 test-mlogloss:0.805752+0.049570
## [152] train-mlogloss:0.022365+0.000346 test-mlogloss:0.806352+0.049733
## [153] train-mlogloss:0.022241+0.000342 test-mlogloss:0.807299+0.049880
## [154] train-mlogloss:0.022119+0.000343 test-mlogloss:0.808756+0.049841
## [155] train-mlogloss:0.021991+0.000330 test-mlogloss:0.809528+0.049781
## [156] train-mlogloss:0.021872+0.000324 test-mlogloss:0.810842+0.049750
## [157] train-mlogloss:0.021752+0.000328 test-mlogloss:0.811729+0.049945
## [158] train-mlogloss:0.021637+0.000332 test-mlogloss:0.812723+0.050313
## [159] train-mlogloss:0.021514+0.000326 test-mlogloss:0.813650+0.050797
## [160] train-mlogloss:0.021392+0.000322 test-mlogloss:0.814496+0.050639
## [161] train-mlogloss:0.021273+0.000321 test-mlogloss:0.814869+0.050228
## [162] train-mlogloss:0.021158+0.000318 test-mlogloss:0.815761+0.050345
## [163] train-mlogloss:0.021052+0.000311 test-mlogloss:0.816091+0.050493
## [164] train-mlogloss:0.020936+0.000311 test-mlogloss:0.816668+0.049829
## [165] train-mlogloss:0.020831+0.000310 test-mlogloss:0.817386+0.049940
## [166] train-mlogloss:0.020735+0.000306 test-mlogloss:0.817552+0.049567
## [167] train-mlogloss:0.020623+0.000303 test-mlogloss:0.817654+0.049739
## [168] train-mlogloss:0.020520+0.000302 test-mlogloss:0.818155+0.049899
## [169] train-mlogloss:0.020419+0.000295 test-mlogloss:0.818842+0.049743
## [170] train-mlogloss:0.020318+0.000297 test-mlogloss:0.818903+0.049876
## [171] train-mlogloss:0.020223+0.000291 test-mlogloss:0.819982+0.050158
## [172] train-mlogloss:0.020122+0.000289 test-mlogloss:0.820638+0.049512
## [173] train-mlogloss:0.020032+0.000285 test-mlogloss:0.821272+0.050333
## [174] train-mlogloss:0.019936+0.000284 test-mlogloss:0.821935+0.050285
## [175] train-mlogloss:0.019847+0.000286 test-mlogloss:0.823624+0.050515
## [176] train-mlogloss:0.019764+0.000279 test-mlogloss:0.824043+0.050318
## [177] train-mlogloss:0.019669+0.000270 test-mlogloss:0.825038+0.050463
## [178] train-mlogloss:0.019580+0.000264 test-mlogloss:0.825805+0.050481
## [179] train-mlogloss:0.019487+0.000259 test-mlogloss:0.826749+0.050548
## [180] train-mlogloss:0.019397+0.000252 test-mlogloss:0.827684+0.050824
## [181] train-mlogloss:0.019312+0.000258 test-mlogloss:0.828455+0.051223
## [182] train-mlogloss:0.019224+0.000252 test-mlogloss:0.828820+0.051212
## [183] train-mlogloss:0.019132+0.000248 test-mlogloss:0.829595+0.051088
## [184] train-mlogloss:0.019047+0.000249 test-mlogloss:0.829658+0.050951
## [185] train-mlogloss:0.018962+0.000247 test-mlogloss:0.830364+0.051311
## [186] train-mlogloss:0.018881+0.000248 test-mlogloss:0.831389+0.051501
## [187] train-mlogloss:0.018799+0.000242 test-mlogloss:0.831621+0.051544
## [188] train-mlogloss:0.018716+0.000245 test-mlogloss:0.832191+0.051320
## [189] train-mlogloss:0.018632+0.000244 test-mlogloss:0.832798+0.051709
## [190] train-mlogloss:0.018555+0.000241 test-mlogloss:0.833357+0.051832
## [191] train-mlogloss:0.018473+0.000242 test-mlogloss:0.833882+0.051851
## [192] train-mlogloss:0.018389+0.000244 test-mlogloss:0.834359+0.051330
## [193] train-mlogloss:0.018318+0.000247 test-mlogloss:0.834589+0.051415
## [194] train-mlogloss:0.018244+0.000245 test-mlogloss:0.835597+0.051596
## [195] train-mlogloss:0.018163+0.000251 test-mlogloss:0.835956+0.051414
## [196] train-mlogloss:0.018089+0.000247 test-mlogloss:0.836393+0.051782
## [197] train-mlogloss:0.018013+0.000243 test-mlogloss:0.836962+0.052215
## [198] train-mlogloss:0.017940+0.000241 test-mlogloss:0.837269+0.052033
## [199] train-mlogloss:0.017866+0.000240 test-mlogloss:0.837754+0.052295
## [200] train-mlogloss:0.017795+0.000240 test-mlogloss:0.838478+0.052368
## [201] train-mlogloss:0.017727+0.000241 test-mlogloss:0.839232+0.052475
## [202] train-mlogloss:0.017658+0.000240 test-mlogloss:0.839617+0.052356
## [203] train-mlogloss:0.017590+0.000236 test-mlogloss:0.840198+0.052560
## [204] train-mlogloss:0.017520+0.000236 test-mlogloss:0.841221+0.052625
## [205] train-mlogloss:0.017448+0.000231 test-mlogloss:0.841452+0.051935
## [206] train-mlogloss:0.017378+0.000227 test-mlogloss:0.841645+0.051844
## [207] train-mlogloss:0.017309+0.000226 test-mlogloss:0.842231+0.052284
## [208] train-mlogloss:0.017237+0.000221 test-mlogloss:0.842994+0.052243
## [209] train-mlogloss:0.017176+0.000222 test-mlogloss:0.843565+0.052474
## [210] train-mlogloss:0.017111+0.000215 test-mlogloss:0.844463+0.052307
## [211] train-mlogloss:0.017046+0.000219 test-mlogloss:0.844881+0.052243
## [212] train-mlogloss:0.016980+0.000216 test-mlogloss:0.844743+0.052408
## [213] train-mlogloss:0.016914+0.000213 test-mlogloss:0.845061+0.052284
## [214] train-mlogloss:0.016852+0.000208 test-mlogloss:0.845112+0.052319
## [215] train-mlogloss:0.016782+0.000210 test-mlogloss:0.845953+0.052066
## [216] train-mlogloss:0.016715+0.000207 test-mlogloss:0.846101+0.052337
## [217] train-mlogloss:0.016655+0.000200 test-mlogloss:0.846718+0.052476
## [218] train-mlogloss:0.016600+0.000199 test-mlogloss:0.847277+0.052778
## [219] train-mlogloss:0.016538+0.000196 test-mlogloss:0.848013+0.052814
## [220] train-mlogloss:0.016476+0.000194 test-mlogloss:0.848596+0.052850
## [221] train-mlogloss:0.016413+0.000194 test-mlogloss:0.848748+0.053024
## [222] train-mlogloss:0.016354+0.000198 test-mlogloss:0.849329+0.052806
## [223] train-mlogloss:0.016294+0.000201 test-mlogloss:0.849898+0.052593
## [224] train-mlogloss:0.016241+0.000198 test-mlogloss:0.849999+0.052140
## [225] train-mlogloss:0.016188+0.000198 test-mlogloss:0.850629+0.052428
## [226] train-mlogloss:0.016133+0.000201 test-mlogloss:0.851082+0.052589
## [227] train-mlogloss:0.016082+0.000207 test-mlogloss:0.851516+0.052597
## [228] train-mlogloss:0.016027+0.000205 test-mlogloss:0.852320+0.052543
## [229] train-mlogloss:0.015969+0.000206 test-mlogloss:0.853211+0.052851
## [230] train-mlogloss:0.015922+0.000203 test-mlogloss:0.853365+0.052655
## [231] train-mlogloss:0.015868+0.000201 test-mlogloss:0.853830+0.052801
## [232] train-mlogloss:0.015813+0.000201 test-mlogloss:0.854056+0.052945
## [233] train-mlogloss:0.015765+0.000206 test-mlogloss:0.854904+0.052839
## [234] train-mlogloss:0.015712+0.000201 test-mlogloss:0.855358+0.053019
## [235] train-mlogloss:0.015658+0.000200 test-mlogloss:0.855677+0.053160
## [236] train-mlogloss:0.015609+0.000202 test-mlogloss:0.856296+0.053411
## [237] train-mlogloss:0.015552+0.000199 test-mlogloss:0.856568+0.053371
## [238] train-mlogloss:0.015504+0.000199 test-mlogloss:0.856730+0.052787
## [239] train-mlogloss:0.015453+0.000197 test-mlogloss:0.856930+0.053142
## [240] train-mlogloss:0.015401+0.000196 test-mlogloss:0.857275+0.053035
## [241] train-mlogloss:0.015352+0.000200 test-mlogloss:0.857512+0.053164
## [242] train-mlogloss:0.015301+0.000198 test-mlogloss:0.857418+0.053137
## [243] train-mlogloss:0.015251+0.000197 test-mlogloss:0.857538+0.052815
## [244] train-mlogloss:0.015208+0.000197 test-mlogloss:0.858083+0.052698
## [245] train-mlogloss:0.015160+0.000196 test-mlogloss:0.858754+0.052512
## [246] train-mlogloss:0.015109+0.000193 test-mlogloss:0.858969+0.052521
## [247] train-mlogloss:0.015060+0.000193 test-mlogloss:0.859457+0.052193
## [248] train-mlogloss:0.015014+0.000191 test-mlogloss:0.859947+0.052806
## [249] train-mlogloss:0.014970+0.000189 test-mlogloss:0.860674+0.052922
## [250] train-mlogloss:0.014926+0.000187 test-mlogloss:0.861367+0.052953
## [251] train-mlogloss:0.014884+0.000187 test-mlogloss:0.861656+0.052572
## [252] train-mlogloss:0.014836+0.000179 test-mlogloss:0.861706+0.052540
## [253] train-mlogloss:0.014786+0.000180 test-mlogloss:0.862128+0.052540
## [254] train-mlogloss:0.014738+0.000180 test-mlogloss:0.862724+0.053144
## [255] train-mlogloss:0.014693+0.000181 test-mlogloss:0.863078+0.053154
## [256] train-mlogloss:0.014645+0.000181 test-mlogloss:0.864020+0.053307
## [257] train-mlogloss:0.014601+0.000180 test-mlogloss:0.864628+0.052992
## [258] train-mlogloss:0.014554+0.000180 test-mlogloss:0.864529+0.052758
## [259] train-mlogloss:0.014506+0.000178 test-mlogloss:0.864944+0.052856
## [260] train-mlogloss:0.014461+0.000180 test-mlogloss:0.864920+0.053063
## [261] train-mlogloss:0.014420+0.000177 test-mlogloss:0.865226+0.052988
## [262] train-mlogloss:0.014380+0.000177 test-mlogloss:0.865621+0.052894
## [263] train-mlogloss:0.014337+0.000177 test-mlogloss:0.866068+0.053236
## [264] train-mlogloss:0.014300+0.000175 test-mlogloss:0.866798+0.053568
## [265] train-mlogloss:0.014258+0.000172 test-mlogloss:0.867230+0.053393
## [266] train-mlogloss:0.014219+0.000171 test-mlogloss:0.867470+0.053027
## [267] train-mlogloss:0.014175+0.000173 test-mlogloss:0.868213+0.053314
## [268] train-mlogloss:0.014138+0.000174 test-mlogloss:0.868438+0.053613
## [269] train-mlogloss:0.014100+0.000170 test-mlogloss:0.868869+0.053416
## [270] train-mlogloss:0.014058+0.000168 test-mlogloss:0.869663+0.053285
## [271] train-mlogloss:0.014018+0.000169 test-mlogloss:0.870111+0.053384
## [272] train-mlogloss:0.013980+0.000172 test-mlogloss:0.870602+0.053598
## [273] train-mlogloss:0.013941+0.000175 test-mlogloss:0.870990+0.053609
## [274] train-mlogloss:0.013900+0.000175 test-mlogloss:0.871541+0.053878
## [275] train-mlogloss:0.013860+0.000175 test-mlogloss:0.871919+0.053738
## [276] train-mlogloss:0.013822+0.000175 test-mlogloss:0.872071+0.053478
## [277] train-mlogloss:0.013783+0.000174 test-mlogloss:0.872403+0.053950
## [278] train-mlogloss:0.013746+0.000171 test-mlogloss:0.872805+0.053888
## [279] train-mlogloss:0.013706+0.000172 test-mlogloss:0.873102+0.054070
## [280] train-mlogloss:0.013673+0.000174 test-mlogloss:0.873522+0.053964
## [281] train-mlogloss:0.013637+0.000177 test-mlogloss:0.873707+0.054038
## [282] train-mlogloss:0.013600+0.000174 test-mlogloss:0.874406+0.054257
## [283] train-mlogloss:0.013562+0.000173 test-mlogloss:0.875025+0.054104
## [284] train-mlogloss:0.013525+0.000174 test-mlogloss:0.875720+0.054552
## [285] train-mlogloss:0.013493+0.000177 test-mlogloss:0.875944+0.054237
## [286] train-mlogloss:0.013455+0.000176 test-mlogloss:0.876313+0.054412
## [287] train-mlogloss:0.013420+0.000177 test-mlogloss:0.876653+0.054131
## [288] train-mlogloss:0.013384+0.000176 test-mlogloss:0.876764+0.054087
## [289] train-mlogloss:0.013348+0.000176 test-mlogloss:0.877534+0.054548
## [290] train-mlogloss:0.013313+0.000175 test-mlogloss:0.877487+0.054616
## [291] train-mlogloss:0.013275+0.000176 test-mlogloss:0.878090+0.054847
## [292] train-mlogloss:0.013241+0.000174 test-mlogloss:0.878236+0.054894
## [293] train-mlogloss:0.013203+0.000175 test-mlogloss:0.878739+0.054910
## [294] train-mlogloss:0.013169+0.000174 test-mlogloss:0.879349+0.055311
## [295] train-mlogloss:0.013136+0.000173 test-mlogloss:0.880042+0.055218
## [296] train-mlogloss:0.013105+0.000174 test-mlogloss:0.880251+0.054779
## [297] train-mlogloss:0.013074+0.000173 test-mlogloss:0.880652+0.054555
## [298] train-mlogloss:0.013042+0.000174 test-mlogloss:0.881215+0.054651
## [299] train-mlogloss:0.013008+0.000172 test-mlogloss:0.881530+0.054639
## [300] train-mlogloss:0.012975+0.000175 test-mlogloss:0.881941+0.054845
## [301] train-mlogloss:0.012945+0.000174 test-mlogloss:0.881859+0.054856
## [302] train-mlogloss:0.012915+0.000172 test-mlogloss:0.882055+0.054975
## [303] train-mlogloss:0.012884+0.000170 test-mlogloss:0.881920+0.054754
## [304] train-mlogloss:0.012850+0.000167 test-mlogloss:0.882776+0.054949
## [305] train-mlogloss:0.012819+0.000167 test-mlogloss:0.883695+0.055286
## [306] train-mlogloss:0.012791+0.000168 test-mlogloss:0.883977+0.055448
## [307] train-mlogloss:0.012761+0.000169 test-mlogloss:0.884660+0.055332
## [308] train-mlogloss:0.012728+0.000170 test-mlogloss:0.884576+0.055142
## [309] train-mlogloss:0.012698+0.000171 test-mlogloss:0.884950+0.054910
## [310] train-mlogloss:0.012668+0.000168 test-mlogloss:0.885453+0.055261
## [311] train-mlogloss:0.012638+0.000167 test-mlogloss:0.885847+0.055259
## [312] train-mlogloss:0.012609+0.000167 test-mlogloss:0.885842+0.055323
## [313] train-mlogloss:0.012576+0.000164 test-mlogloss:0.886157+0.055156
## [314] train-mlogloss:0.012546+0.000164 test-mlogloss:0.886407+0.055089
## [315] train-mlogloss:0.012517+0.000164 test-mlogloss:0.886858+0.054921
## [316] train-mlogloss:0.012486+0.000163 test-mlogloss:0.887251+0.054890
## [317] train-mlogloss:0.012458+0.000165 test-mlogloss:0.887521+0.054968
## [318] train-mlogloss:0.012429+0.000162 test-mlogloss:0.888011+0.054885
## [319] train-mlogloss:0.012399+0.000161 test-mlogloss:0.888512+0.055118
## [320] train-mlogloss:0.012370+0.000162 test-mlogloss:0.888944+0.054822
## [321] train-mlogloss:0.012341+0.000164 test-mlogloss:0.889735+0.054960
## [322] train-mlogloss:0.012312+0.000163 test-mlogloss:0.890131+0.055250
## [323] train-mlogloss:0.012282+0.000161 test-mlogloss:0.890556+0.055089
## [324] train-mlogloss:0.012257+0.000159 test-mlogloss:0.890892+0.055438
## [325] train-mlogloss:0.012228+0.000162 test-mlogloss:0.890838+0.055523
## [326] train-mlogloss:0.012201+0.000160 test-mlogloss:0.891237+0.055137
## [327] train-mlogloss:0.012178+0.000159 test-mlogloss:0.891391+0.054979
## [328] train-mlogloss:0.012149+0.000159 test-mlogloss:0.892144+0.055095
## [329] train-mlogloss:0.012121+0.000162 test-mlogloss:0.892796+0.055458
## [330] train-mlogloss:0.012093+0.000160 test-mlogloss:0.893179+0.055597
## [331] train-mlogloss:0.012065+0.000161 test-mlogloss:0.893482+0.055634
## [332] train-mlogloss:0.012037+0.000158 test-mlogloss:0.894155+0.055834
## [333] train-mlogloss:0.012011+0.000157 test-mlogloss:0.894718+0.055851
## [334] train-mlogloss:0.011986+0.000156 test-mlogloss:0.894962+0.056099
## [335] train-mlogloss:0.011958+0.000156 test-mlogloss:0.895118+0.056296
## [336] train-mlogloss:0.011934+0.000154 test-mlogloss:0.895253+0.056433
## [337] train-mlogloss:0.011907+0.000153 test-mlogloss:0.895519+0.056748
## [338] train-mlogloss:0.011881+0.000152 test-mlogloss:0.895858+0.056946
## [339] train-mlogloss:0.011855+0.000151 test-mlogloss:0.895950+0.057132
## [340] train-mlogloss:0.011830+0.000151 test-mlogloss:0.896024+0.057018
## [341] train-mlogloss:0.011805+0.000151 test-mlogloss:0.896446+0.057112
## [342] train-mlogloss:0.011780+0.000152 test-mlogloss:0.896740+0.057361
## [343] train-mlogloss:0.011755+0.000153 test-mlogloss:0.897054+0.057123
## [344] train-mlogloss:0.011732+0.000153 test-mlogloss:0.897534+0.057156
## [345] train-mlogloss:0.011706+0.000150 test-mlogloss:0.897712+0.056946
## [346] train-mlogloss:0.011681+0.000150 test-mlogloss:0.897961+0.056359
## [347] train-mlogloss:0.011655+0.000150 test-mlogloss:0.898414+0.056487
## [348] train-mlogloss:0.011630+0.000150 test-mlogloss:0.898453+0.056633
## [349] train-mlogloss:0.011605+0.000150 test-mlogloss:0.898665+0.056746
## [350] train-mlogloss:0.011582+0.000150 test-mlogloss:0.899072+0.057275
## [351] train-mlogloss:0.011556+0.000149 test-mlogloss:0.899353+0.057203
## [352] train-mlogloss:0.011531+0.000151 test-mlogloss:0.899643+0.057107
## [353] train-mlogloss:0.011507+0.000149 test-mlogloss:0.899727+0.057173
## [354] train-mlogloss:0.011483+0.000150 test-mlogloss:0.900056+0.057125
## [355] train-mlogloss:0.011460+0.000151 test-mlogloss:0.900725+0.057495
## [356] train-mlogloss:0.011437+0.000149 test-mlogloss:0.901305+0.057637
## [357] train-mlogloss:0.011415+0.000149 test-mlogloss:0.901715+0.057465
## [358] train-mlogloss:0.011392+0.000149 test-mlogloss:0.902004+0.057514
## [359] train-mlogloss:0.011370+0.000148 test-mlogloss:0.902535+0.057520
## [360] train-mlogloss:0.011348+0.000145 test-mlogloss:0.902471+0.057622
## [361] train-mlogloss:0.011326+0.000148 test-mlogloss:0.902788+0.057638
## [362] train-mlogloss:0.011301+0.000146 test-mlogloss:0.903075+0.057589
## [363] train-mlogloss:0.011279+0.000143 test-mlogloss:0.903374+0.057613
## [364] train-mlogloss:0.011254+0.000139 test-mlogloss:0.903403+0.057561
## [365] train-mlogloss:0.011232+0.000140 test-mlogloss:0.904001+0.057457
## [366] train-mlogloss:0.011209+0.000139 test-mlogloss:0.904396+0.057266
## [367] train-mlogloss:0.011186+0.000137 test-mlogloss:0.904859+0.057312
## [368] train-mlogloss:0.011167+0.000136 test-mlogloss:0.905324+0.057323
## [369] train-mlogloss:0.011144+0.000136 test-mlogloss:0.906061+0.057259
## [370] train-mlogloss:0.011123+0.000137 test-mlogloss:0.906227+0.056825
## [371] train-mlogloss:0.011102+0.000137 test-mlogloss:0.906519+0.056586
## [372] train-mlogloss:0.011083+0.000136 test-mlogloss:0.906885+0.056491
## [373] train-mlogloss:0.011061+0.000135 test-mlogloss:0.907483+0.056477
## [374] train-mlogloss:0.011039+0.000133 test-mlogloss:0.907811+0.056719
## [375] train-mlogloss:0.011016+0.000133 test-mlogloss:0.908211+0.056258
## [376] train-mlogloss:0.010994+0.000133 test-mlogloss:0.908896+0.056574
## [377] train-mlogloss:0.010973+0.000134 test-mlogloss:0.909397+0.056504
## [378] train-mlogloss:0.010952+0.000134 test-mlogloss:0.909670+0.056463
## [379] train-mlogloss:0.010933+0.000134 test-mlogloss:0.909700+0.056447
## [380] train-mlogloss:0.010911+0.000131 test-mlogloss:0.910106+0.056739
## [381] train-mlogloss:0.010888+0.000128 test-mlogloss:0.910213+0.056977
## [382] train-mlogloss:0.010870+0.000127 test-mlogloss:0.910688+0.057108
## [383] train-mlogloss:0.010850+0.000127 test-mlogloss:0.910989+0.057311
## [384] train-mlogloss:0.010829+0.000126 test-mlogloss:0.911054+0.056986
## [385] train-mlogloss:0.010809+0.000127 test-mlogloss:0.911686+0.056940
## [386] train-mlogloss:0.010791+0.000128 test-mlogloss:0.911712+0.057355
## [387] train-mlogloss:0.010774+0.000125 test-mlogloss:0.911752+0.057510
## [388] train-mlogloss:0.010753+0.000125 test-mlogloss:0.911818+0.057459
## [389] train-mlogloss:0.010734+0.000123 test-mlogloss:0.912222+0.057445
## [390] train-mlogloss:0.010716+0.000123 test-mlogloss:0.912373+0.057680
## [391] train-mlogloss:0.010697+0.000121 test-mlogloss:0.912741+0.057553
## [392] train-mlogloss:0.010677+0.000118 test-mlogloss:0.912884+0.057772
## [393] train-mlogloss:0.010659+0.000117 test-mlogloss:0.913046+0.057622
## [394] train-mlogloss:0.010640+0.000117 test-mlogloss:0.912953+0.057518
## [395] train-mlogloss:0.010623+0.000118 test-mlogloss:0.913186+0.057498
## [396] train-mlogloss:0.010603+0.000118 test-mlogloss:0.913499+0.057711
## [397] train-mlogloss:0.010584+0.000117 test-mlogloss:0.913761+0.057740
## [398] train-mlogloss:0.010564+0.000118 test-mlogloss:0.914179+0.057736
## [399] train-mlogloss:0.010544+0.000118 test-mlogloss:0.914619+0.057638
## [400] train-mlogloss:0.010527+0.000118 test-mlogloss:0.915072+0.057618
## [401] train-mlogloss:0.010506+0.000119 test-mlogloss:0.915186+0.057738
## [402] train-mlogloss:0.010489+0.000118 test-mlogloss:0.915503+0.057903
## [403] train-mlogloss:0.010468+0.000117 test-mlogloss:0.915844+0.058070
## [404] train-mlogloss:0.010448+0.000115 test-mlogloss:0.916074+0.058044
## [405] train-mlogloss:0.010429+0.000116 test-mlogloss:0.916566+0.057864
## [406] train-mlogloss:0.010411+0.000116 test-mlogloss:0.916626+0.057735
## [407] train-mlogloss:0.010396+0.000116 test-mlogloss:0.917142+0.057950
## [408] train-mlogloss:0.010377+0.000117 test-mlogloss:0.917101+0.058131
## [409] train-mlogloss:0.010359+0.000118 test-mlogloss:0.917066+0.057674
## [410] train-mlogloss:0.010342+0.000117 test-mlogloss:0.917510+0.057655
## [411] train-mlogloss:0.010323+0.000117 test-mlogloss:0.917729+0.057758
## [412] train-mlogloss:0.010305+0.000115 test-mlogloss:0.918364+0.057722
## [413] train-mlogloss:0.010288+0.000116 test-mlogloss:0.918839+0.057555
## [414] train-mlogloss:0.010271+0.000120 test-mlogloss:0.919021+0.057643
## [415] train-mlogloss:0.010255+0.000121 test-mlogloss:0.918982+0.057623
## [416] train-mlogloss:0.010237+0.000120 test-mlogloss:0.919162+0.057909
## [417] train-mlogloss:0.010221+0.000120 test-mlogloss:0.919195+0.058034
## [418] train-mlogloss:0.010204+0.000119 test-mlogloss:0.919669+0.058154
## [419] train-mlogloss:0.010187+0.000120 test-mlogloss:0.919859+0.058203
## [420] train-mlogloss:0.010170+0.000119 test-mlogloss:0.920332+0.058240
## [421] train-mlogloss:0.010153+0.000116 test-mlogloss:0.920847+0.058021
## [422] train-mlogloss:0.010134+0.000117 test-mlogloss:0.920965+0.057951
## [423] train-mlogloss:0.010118+0.000116 test-mlogloss:0.920862+0.058040
## [424] train-mlogloss:0.010101+0.000117 test-mlogloss:0.920722+0.057998
## [425] train-mlogloss:0.010087+0.000115 test-mlogloss:0.921258+0.057971
## [426] train-mlogloss:0.010070+0.000116 test-mlogloss:0.921794+0.058203
## [427] train-mlogloss:0.010054+0.000114 test-mlogloss:0.922279+0.058114
## [428] train-mlogloss:0.010039+0.000113 test-mlogloss:0.922312+0.058173
## [429] train-mlogloss:0.010023+0.000115 test-mlogloss:0.922354+0.058527
## [430] train-mlogloss:0.010007+0.000115 test-mlogloss:0.922466+0.058720
## [431] train-mlogloss:0.009991+0.000113 test-mlogloss:0.922563+0.058389
## [432] train-mlogloss:0.009972+0.000113 test-mlogloss:0.922961+0.058546
## [433] train-mlogloss:0.009957+0.000113 test-mlogloss:0.923048+0.058477
## [434] train-mlogloss:0.009942+0.000110 test-mlogloss:0.923494+0.058151
## [435] train-mlogloss:0.009926+0.000112 test-mlogloss:0.923984+0.058008
## [436] train-mlogloss:0.009910+0.000111 test-mlogloss:0.924178+0.057888
## [437] train-mlogloss:0.009895+0.000110 test-mlogloss:0.924328+0.058108
## [438] train-mlogloss:0.009880+0.000109 test-mlogloss:0.924598+0.058020
## [439] train-mlogloss:0.009864+0.000109 test-mlogloss:0.924791+0.058359
## [440] train-mlogloss:0.009846+0.000109 test-mlogloss:0.925258+0.058331
## [441] train-mlogloss:0.009832+0.000110 test-mlogloss:0.925396+0.058417
## [442] train-mlogloss:0.009817+0.000108 test-mlogloss:0.925650+0.058018
## [443] train-mlogloss:0.009801+0.000108 test-mlogloss:0.925889+0.058107
## [444] train-mlogloss:0.009785+0.000108 test-mlogloss:0.926198+0.058027
## [445] train-mlogloss:0.009771+0.000109 test-mlogloss:0.926338+0.057888
## [446] train-mlogloss:0.009756+0.000109 test-mlogloss:0.926140+0.057725
## [447] train-mlogloss:0.009742+0.000108 test-mlogloss:0.926556+0.057847
## [448] train-mlogloss:0.009727+0.000108 test-mlogloss:0.926933+0.058099
## [449] train-mlogloss:0.009712+0.000107 test-mlogloss:0.927016+0.058020
## [450] train-mlogloss:0.009698+0.000107 test-mlogloss:0.927159+0.058357
## [451] train-mlogloss:0.009681+0.000107 test-mlogloss:0.927572+0.058761
## [452] train-mlogloss:0.009665+0.000107 test-mlogloss:0.927957+0.058521
## [453] train-mlogloss:0.009650+0.000106 test-mlogloss:0.928383+0.058676
## [454] train-mlogloss:0.009636+0.000106 test-mlogloss:0.928449+0.058463
## [455] train-mlogloss:0.009621+0.000107 test-mlogloss:0.928789+0.058231
## [456] train-mlogloss:0.009608+0.000107 test-mlogloss:0.929101+0.058285
## [457] train-mlogloss:0.009594+0.000108 test-mlogloss:0.929485+0.058492
## [458] train-mlogloss:0.009580+0.000107 test-mlogloss:0.929610+0.057981
## [459] train-mlogloss:0.009566+0.000108 test-mlogloss:0.930140+0.058342
## [460] train-mlogloss:0.009551+0.000109 test-mlogloss:0.930120+0.057925
## [461] train-mlogloss:0.009539+0.000109 test-mlogloss:0.930417+0.057556
## [462] train-mlogloss:0.009526+0.000109 test-mlogloss:0.931008+0.057825
## [463] train-mlogloss:0.009512+0.000108 test-mlogloss:0.931230+0.057825
## [464] train-mlogloss:0.009500+0.000107 test-mlogloss:0.931406+0.058170
## [465] train-mlogloss:0.009487+0.000109 test-mlogloss:0.931513+0.058523
## [466] train-mlogloss:0.009472+0.000108 test-mlogloss:0.931996+0.058296
## [467] train-mlogloss:0.009458+0.000109 test-mlogloss:0.932039+0.058397
## [468] train-mlogloss:0.009443+0.000109 test-mlogloss:0.932235+0.058564
## [469] train-mlogloss:0.009431+0.000108 test-mlogloss:0.932632+0.058439
## [470] train-mlogloss:0.009416+0.000107 test-mlogloss:0.932983+0.058506
## [471] train-mlogloss:0.009403+0.000106 test-mlogloss:0.933249+0.058742
## [472] train-mlogloss:0.009390+0.000107 test-mlogloss:0.933425+0.058557
## [473] train-mlogloss:0.009375+0.000105 test-mlogloss:0.933930+0.058657
## [474] train-mlogloss:0.009361+0.000107 test-mlogloss:0.934024+0.058474
## [475] train-mlogloss:0.009347+0.000106 test-mlogloss:0.934512+0.058872
## [476] train-mlogloss:0.009334+0.000107 test-mlogloss:0.935175+0.058706
## [477] train-mlogloss:0.009321+0.000107 test-mlogloss:0.935319+0.058444
## [478] train-mlogloss:0.009308+0.000107 test-mlogloss:0.935161+0.058678
## [479] train-mlogloss:0.009294+0.000106 test-mlogloss:0.935577+0.058737
## [480] train-mlogloss:0.009282+0.000106 test-mlogloss:0.935551+0.058780
## [481] train-mlogloss:0.009267+0.000105 test-mlogloss:0.935833+0.058784
## [482] train-mlogloss:0.009254+0.000106 test-mlogloss:0.936059+0.058788
## [483] train-mlogloss:0.009240+0.000105 test-mlogloss:0.936104+0.058599
## [484] train-mlogloss:0.009225+0.000103 test-mlogloss:0.936134+0.058423
## [485] train-mlogloss:0.009211+0.000102 test-mlogloss:0.936011+0.058718
## [486] train-mlogloss:0.009198+0.000102 test-mlogloss:0.936405+0.058473
## [487] train-mlogloss:0.009187+0.000102 test-mlogloss:0.936572+0.058619
## [488] train-mlogloss:0.009174+0.000102 test-mlogloss:0.936889+0.059024
## [489] train-mlogloss:0.009160+0.000103 test-mlogloss:0.937317+0.058953
## [490] train-mlogloss:0.009149+0.000104 test-mlogloss:0.937796+0.058899
## [491] train-mlogloss:0.009136+0.000103 test-mlogloss:0.938008+0.058987
## [492] train-mlogloss:0.009125+0.000101 test-mlogloss:0.938185+0.059175
## [493] train-mlogloss:0.009111+0.000102 test-mlogloss:0.938674+0.059318
## [494] train-mlogloss:0.009097+0.000101 test-mlogloss:0.939088+0.059202
## [495] train-mlogloss:0.009087+0.000100 test-mlogloss:0.939114+0.059223
## [496] train-mlogloss:0.009076+0.000099 test-mlogloss:0.939576+0.059697
## [497] train-mlogloss:0.009063+0.000099 test-mlogloss:0.939685+0.059405
## [498] train-mlogloss:0.009050+0.000099 test-mlogloss:0.939566+0.059232
## [499] train-mlogloss:0.009039+0.000096 test-mlogloss:0.939829+0.058887
## [500] train-mlogloss:0.009027+0.000096 test-mlogloss:0.939723+0.058857
## [1] train-mlogloss:0.538829+0.001152 test-mlogloss:0.557895+0.003736
## [2] train-mlogloss:0.509638+0.002341 test-mlogloss:0.544188+0.005727
## [3] train-mlogloss:0.498379+0.002480 test-mlogloss:0.543948+0.006989
## [4] train-mlogloss:0.489550+0.004102 test-mlogloss:0.546916+0.007181
## [5] train-mlogloss:0.481241+0.004516 test-mlogloss:0.551646+0.007601
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## [9] train-mlogloss:0.450694+0.006375 test-mlogloss:0.567128+0.010514
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## [13] train-mlogloss:0.425212+0.009392 test-mlogloss:0.576917+0.013662
## [14] train-mlogloss:0.417596+0.008406 test-mlogloss:0.581253+0.010922
## [15] train-mlogloss:0.410862+0.008338 test-mlogloss:0.581631+0.010877
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## [17] train-mlogloss:0.398753+0.009594 test-mlogloss:0.589181+0.012814
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## [20] train-mlogloss:0.384986+0.009357 test-mlogloss:0.597002+0.015366
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## [22] train-mlogloss:0.372671+0.008616 test-mlogloss:0.605587+0.016005
## [23] train-mlogloss:0.367028+0.007658 test-mlogloss:0.610036+0.015260
## [24] train-mlogloss:0.361588+0.006327 test-mlogloss:0.613654+0.014642
## [25] train-mlogloss:0.357368+0.005644 test-mlogloss:0.616124+0.012846
## [26] train-mlogloss:0.352282+0.006949 test-mlogloss:0.620074+0.013730
## [27] train-mlogloss:0.347600+0.006827 test-mlogloss:0.622531+0.015086
## [28] train-mlogloss:0.342881+0.006297 test-mlogloss:0.623365+0.014073
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## [30] train-mlogloss:0.332797+0.006720 test-mlogloss:0.628139+0.012463
## [31] train-mlogloss:0.328901+0.006998 test-mlogloss:0.631409+0.015763
## [32] train-mlogloss:0.325106+0.006698 test-mlogloss:0.634562+0.015671
## [33] train-mlogloss:0.320358+0.007088 test-mlogloss:0.635234+0.016113
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## [36] train-mlogloss:0.307226+0.008000 test-mlogloss:0.641409+0.017294
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## [38] train-mlogloss:0.299907+0.008549 test-mlogloss:0.645946+0.018781
## [39] train-mlogloss:0.294940+0.009593 test-mlogloss:0.650512+0.019630
## [40] train-mlogloss:0.290964+0.010009 test-mlogloss:0.655367+0.020049
## [41] train-mlogloss:0.287040+0.010141 test-mlogloss:0.656786+0.020886
## [42] train-mlogloss:0.283020+0.009944 test-mlogloss:0.659651+0.019436
## [43] train-mlogloss:0.278970+0.009873 test-mlogloss:0.663631+0.020387
## [44] train-mlogloss:0.275703+0.009734 test-mlogloss:0.666535+0.020829
## [45] train-mlogloss:0.272129+0.009113 test-mlogloss:0.669718+0.019729
## [46] train-mlogloss:0.267881+0.009148 test-mlogloss:0.671503+0.018583
## [47] train-mlogloss:0.264581+0.009004 test-mlogloss:0.674259+0.019837
## [48] train-mlogloss:0.260970+0.009074 test-mlogloss:0.678277+0.022116
## [49] train-mlogloss:0.258152+0.008983 test-mlogloss:0.681772+0.025688
## [50] train-mlogloss:0.254820+0.008815 test-mlogloss:0.683947+0.023684
## [51] train-mlogloss:0.251646+0.008888 test-mlogloss:0.686550+0.021823
## [52] train-mlogloss:0.248407+0.009215 test-mlogloss:0.688478+0.021202
## [53] train-mlogloss:0.245043+0.009520 test-mlogloss:0.690134+0.021973
## [54] train-mlogloss:0.241856+0.009344 test-mlogloss:0.692989+0.022071
## [55] train-mlogloss:0.238428+0.008764 test-mlogloss:0.695328+0.022124
## [56] train-mlogloss:0.235335+0.008401 test-mlogloss:0.698079+0.022469
## [57] train-mlogloss:0.232113+0.007790 test-mlogloss:0.701143+0.020949
## [58] train-mlogloss:0.229382+0.008453 test-mlogloss:0.701975+0.022881
## [59] train-mlogloss:0.225912+0.008782 test-mlogloss:0.704579+0.022744
## [60] train-mlogloss:0.223086+0.008469 test-mlogloss:0.705860+0.023705
## [61] train-mlogloss:0.220247+0.008207 test-mlogloss:0.707212+0.023492
## [62] train-mlogloss:0.217005+0.007878 test-mlogloss:0.710068+0.024417
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## [64] train-mlogloss:0.211697+0.007868 test-mlogloss:0.713938+0.026462
## [65] train-mlogloss:0.208841+0.007256 test-mlogloss:0.715768+0.025031
## [66] train-mlogloss:0.206280+0.006370 test-mlogloss:0.719625+0.024956
## [67] train-mlogloss:0.203535+0.006652 test-mlogloss:0.721598+0.026903
## [68] train-mlogloss:0.200778+0.006138 test-mlogloss:0.723151+0.023643
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## [70] train-mlogloss:0.194967+0.005497 test-mlogloss:0.729132+0.024736
## [71] train-mlogloss:0.192279+0.005437 test-mlogloss:0.730813+0.025864
## [72] train-mlogloss:0.189737+0.005168 test-mlogloss:0.731375+0.026959
## [73] train-mlogloss:0.187075+0.004924 test-mlogloss:0.734259+0.025849
## [74] train-mlogloss:0.184577+0.004914 test-mlogloss:0.736024+0.024441
## [75] train-mlogloss:0.182137+0.004725 test-mlogloss:0.738380+0.025249
## [76] train-mlogloss:0.179895+0.005000 test-mlogloss:0.739887+0.027841
## [77] train-mlogloss:0.177361+0.005412 test-mlogloss:0.745078+0.028312
## [78] train-mlogloss:0.174969+0.005421 test-mlogloss:0.746874+0.027248
## [79] train-mlogloss:0.172190+0.005450 test-mlogloss:0.749379+0.027509
## [80] train-mlogloss:0.170194+0.005522 test-mlogloss:0.749853+0.028556
## [81] train-mlogloss:0.168318+0.005132 test-mlogloss:0.750772+0.028036
## [82] train-mlogloss:0.166125+0.005116 test-mlogloss:0.754463+0.027585
## [83] train-mlogloss:0.163993+0.005191 test-mlogloss:0.756200+0.027004
## [84] train-mlogloss:0.162162+0.005296 test-mlogloss:0.759274+0.025479
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## [86] train-mlogloss:0.157881+0.004995 test-mlogloss:0.765985+0.026231
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## [88] train-mlogloss:0.153782+0.004930 test-mlogloss:0.770651+0.027394
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## [90] train-mlogloss:0.149644+0.005157 test-mlogloss:0.772560+0.029093
## [91] train-mlogloss:0.147913+0.004622 test-mlogloss:0.775886+0.028500
## [92] train-mlogloss:0.146040+0.004844 test-mlogloss:0.777334+0.029902
## [93] train-mlogloss:0.143752+0.004665 test-mlogloss:0.780438+0.030797
## [94] train-mlogloss:0.141751+0.004933 test-mlogloss:0.780766+0.029410
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## [96] train-mlogloss:0.138398+0.004958 test-mlogloss:0.784704+0.029579
## [97] train-mlogloss:0.136576+0.004690 test-mlogloss:0.786756+0.028821
## [98] train-mlogloss:0.135003+0.004511 test-mlogloss:0.788884+0.028654
## [99] train-mlogloss:0.133437+0.004351 test-mlogloss:0.792503+0.027787
## [100] train-mlogloss:0.131892+0.004358 test-mlogloss:0.793581+0.028370
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## [102] train-mlogloss:0.128537+0.004244 test-mlogloss:0.796298+0.026694
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## [210] train-mlogloss:0.040927+0.000829 test-mlogloss:0.962828+0.026745
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## [218] train-mlogloss:0.038370+0.000743 test-mlogloss:0.973381+0.030537
## [219] train-mlogloss:0.038093+0.000706 test-mlogloss:0.973466+0.029783
## [220] train-mlogloss:0.037806+0.000711 test-mlogloss:0.973613+0.031312
## [221] train-mlogloss:0.037504+0.000770 test-mlogloss:0.975527+0.030797
## [222] train-mlogloss:0.037247+0.000770 test-mlogloss:0.976469+0.031556
## [223] train-mlogloss:0.036942+0.000704 test-mlogloss:0.976561+0.031062
## [224] train-mlogloss:0.036698+0.000734 test-mlogloss:0.977615+0.031166
## [225] train-mlogloss:0.036388+0.000748 test-mlogloss:0.980186+0.030462
## [226] train-mlogloss:0.036083+0.000705 test-mlogloss:0.980599+0.031381
## [227] train-mlogloss:0.035826+0.000675 test-mlogloss:0.982585+0.032148
## [228] train-mlogloss:0.035556+0.000650 test-mlogloss:0.983610+0.031217
## [229] train-mlogloss:0.035297+0.000624 test-mlogloss:0.985117+0.031384
## [230] train-mlogloss:0.035037+0.000588 test-mlogloss:0.986936+0.031171
## [231] train-mlogloss:0.034806+0.000608 test-mlogloss:0.988109+0.032076
## [232] train-mlogloss:0.034581+0.000602 test-mlogloss:0.988798+0.031321
## [233] train-mlogloss:0.034356+0.000604 test-mlogloss:0.989435+0.031361
## [234] train-mlogloss:0.034120+0.000567 test-mlogloss:0.989817+0.030869
## [235] train-mlogloss:0.033922+0.000512 test-mlogloss:0.989776+0.031760
## [236] train-mlogloss:0.033656+0.000505 test-mlogloss:0.990649+0.033365
## [237] train-mlogloss:0.033400+0.000546 test-mlogloss:0.990913+0.032102
## [238] train-mlogloss:0.033153+0.000535 test-mlogloss:0.992615+0.031465
## [239] train-mlogloss:0.032932+0.000512 test-mlogloss:0.993358+0.032526
## [240] train-mlogloss:0.032739+0.000508 test-mlogloss:0.995063+0.032289
## [241] train-mlogloss:0.032545+0.000466 test-mlogloss:0.996416+0.031506
## [242] train-mlogloss:0.032339+0.000438 test-mlogloss:0.997169+0.031783
## [243] train-mlogloss:0.032139+0.000372 test-mlogloss:0.998396+0.031521
## [244] train-mlogloss:0.031887+0.000353 test-mlogloss:0.999136+0.030348
## [245] train-mlogloss:0.031667+0.000360 test-mlogloss:1.000596+0.030301
## [246] train-mlogloss:0.031465+0.000353 test-mlogloss:1.002102+0.031356
## [247] train-mlogloss:0.031254+0.000282 test-mlogloss:1.002538+0.032989
## [248] train-mlogloss:0.030986+0.000274 test-mlogloss:1.003388+0.032760
## [249] train-mlogloss:0.030747+0.000282 test-mlogloss:1.003179+0.031223
## [250] train-mlogloss:0.030527+0.000295 test-mlogloss:1.005263+0.031470
## [251] train-mlogloss:0.030311+0.000342 test-mlogloss:1.006050+0.032087
## [252] train-mlogloss:0.030120+0.000320 test-mlogloss:1.007496+0.032338
## [253] train-mlogloss:0.029926+0.000356 test-mlogloss:1.009563+0.033223
## [254] train-mlogloss:0.029742+0.000351 test-mlogloss:1.011669+0.034232
## [255] train-mlogloss:0.029549+0.000390 test-mlogloss:1.011905+0.033659
## [256] train-mlogloss:0.029370+0.000386 test-mlogloss:1.013259+0.032705
## [257] train-mlogloss:0.029179+0.000366 test-mlogloss:1.014221+0.032866
## [258] train-mlogloss:0.028977+0.000372 test-mlogloss:1.013836+0.032885
## [259] train-mlogloss:0.028803+0.000357 test-mlogloss:1.014722+0.031458
## [260] train-mlogloss:0.028638+0.000348 test-mlogloss:1.015227+0.030671
## [261] train-mlogloss:0.028428+0.000331 test-mlogloss:1.016604+0.030687
## [262] train-mlogloss:0.028220+0.000310 test-mlogloss:1.018252+0.032995
## [263] train-mlogloss:0.028064+0.000292 test-mlogloss:1.019208+0.032544
## [264] train-mlogloss:0.027867+0.000318 test-mlogloss:1.020226+0.032937
## [265] train-mlogloss:0.027654+0.000297 test-mlogloss:1.021893+0.031535
## [266] train-mlogloss:0.027487+0.000282 test-mlogloss:1.022472+0.030695
## [267] train-mlogloss:0.027307+0.000299 test-mlogloss:1.024720+0.031184
## [268] train-mlogloss:0.027131+0.000300 test-mlogloss:1.025895+0.031411
## [269] train-mlogloss:0.026981+0.000320 test-mlogloss:1.027455+0.032098
## [270] train-mlogloss:0.026764+0.000297 test-mlogloss:1.029637+0.032357
## [271] train-mlogloss:0.026568+0.000292 test-mlogloss:1.031071+0.031309
## [272] train-mlogloss:0.026399+0.000304 test-mlogloss:1.032655+0.033019
## [273] train-mlogloss:0.026218+0.000297 test-mlogloss:1.034974+0.033461
## [274] train-mlogloss:0.026068+0.000279 test-mlogloss:1.034876+0.032454
## [275] train-mlogloss:0.025904+0.000287 test-mlogloss:1.035463+0.032013
## [276] train-mlogloss:0.025729+0.000272 test-mlogloss:1.035701+0.032141
## [277] train-mlogloss:0.025558+0.000237 test-mlogloss:1.037672+0.032069
## [278] train-mlogloss:0.025402+0.000226 test-mlogloss:1.037572+0.032650
## [279] train-mlogloss:0.025285+0.000238 test-mlogloss:1.038834+0.030862
## [280] train-mlogloss:0.025124+0.000211 test-mlogloss:1.039608+0.031336
## [281] train-mlogloss:0.025019+0.000213 test-mlogloss:1.039986+0.030741
## [282] train-mlogloss:0.024853+0.000218 test-mlogloss:1.041661+0.031245
## [283] train-mlogloss:0.024716+0.000204 test-mlogloss:1.041753+0.031205
## [284] train-mlogloss:0.024597+0.000213 test-mlogloss:1.044290+0.031871
## [285] train-mlogloss:0.024414+0.000209 test-mlogloss:1.044765+0.031841
## [286] train-mlogloss:0.024254+0.000223 test-mlogloss:1.045993+0.031350
## [287] train-mlogloss:0.024101+0.000249 test-mlogloss:1.046069+0.030725
## [288] train-mlogloss:0.023947+0.000262 test-mlogloss:1.048465+0.031151
## [289] train-mlogloss:0.023836+0.000272 test-mlogloss:1.048723+0.031325
## [290] train-mlogloss:0.023676+0.000275 test-mlogloss:1.049462+0.031259
## [291] train-mlogloss:0.023568+0.000260 test-mlogloss:1.049817+0.030177
## [292] train-mlogloss:0.023423+0.000246 test-mlogloss:1.050442+0.028765
## [293] train-mlogloss:0.023314+0.000234 test-mlogloss:1.050800+0.029146
## [294] train-mlogloss:0.023166+0.000237 test-mlogloss:1.051222+0.029784
## [295] train-mlogloss:0.023044+0.000229 test-mlogloss:1.052760+0.029487
## [296] train-mlogloss:0.022919+0.000240 test-mlogloss:1.055153+0.031083
## [297] train-mlogloss:0.022820+0.000275 test-mlogloss:1.054503+0.029919
## [298] train-mlogloss:0.022696+0.000299 test-mlogloss:1.055502+0.030202
## [299] train-mlogloss:0.022572+0.000336 test-mlogloss:1.056563+0.031104
## [300] train-mlogloss:0.022460+0.000351 test-mlogloss:1.057809+0.030202
## [301] train-mlogloss:0.022319+0.000378 test-mlogloss:1.057897+0.030450
## [302] train-mlogloss:0.022215+0.000420 test-mlogloss:1.059768+0.031782
## [303] train-mlogloss:0.022108+0.000423 test-mlogloss:1.060476+0.031386
## [304] train-mlogloss:0.021972+0.000441 test-mlogloss:1.061819+0.032236
## [305] train-mlogloss:0.021849+0.000430 test-mlogloss:1.061987+0.032450
## [306] train-mlogloss:0.021744+0.000446 test-mlogloss:1.063165+0.034410
## [307] train-mlogloss:0.021632+0.000455 test-mlogloss:1.064666+0.034742
## [308] train-mlogloss:0.021549+0.000444 test-mlogloss:1.065932+0.033687
## [309] train-mlogloss:0.021429+0.000437 test-mlogloss:1.065863+0.033189
## [310] train-mlogloss:0.021303+0.000440 test-mlogloss:1.066704+0.033602
## [311] train-mlogloss:0.021226+0.000463 test-mlogloss:1.067698+0.033498
## [312] train-mlogloss:0.021140+0.000464 test-mlogloss:1.069449+0.034397
## [313] train-mlogloss:0.021025+0.000449 test-mlogloss:1.069248+0.034167
## [314] train-mlogloss:0.020923+0.000453 test-mlogloss:1.071106+0.033615
## [315] train-mlogloss:0.020797+0.000444 test-mlogloss:1.071876+0.034483
## [316] train-mlogloss:0.020698+0.000441 test-mlogloss:1.072095+0.033994
## [317] train-mlogloss:0.020602+0.000428 test-mlogloss:1.073114+0.033679
## [318] train-mlogloss:0.020484+0.000419 test-mlogloss:1.073919+0.034430
## [319] train-mlogloss:0.020352+0.000421 test-mlogloss:1.073296+0.034663
## [320] train-mlogloss:0.020239+0.000380 test-mlogloss:1.073933+0.033900
## [321] train-mlogloss:0.020115+0.000360 test-mlogloss:1.075646+0.034416
## [322] train-mlogloss:0.019998+0.000338 test-mlogloss:1.076079+0.034899
## [323] train-mlogloss:0.019880+0.000357 test-mlogloss:1.076223+0.035252
## [324] train-mlogloss:0.019803+0.000367 test-mlogloss:1.076952+0.034252
## [325] train-mlogloss:0.019720+0.000357 test-mlogloss:1.078293+0.033181
## [326] train-mlogloss:0.019624+0.000358 test-mlogloss:1.078023+0.034500
## [327] train-mlogloss:0.019523+0.000364 test-mlogloss:1.077848+0.035793
## [328] train-mlogloss:0.019425+0.000354 test-mlogloss:1.079230+0.034689
## [329] train-mlogloss:0.019331+0.000368 test-mlogloss:1.081120+0.034827
## [330] train-mlogloss:0.019243+0.000367 test-mlogloss:1.081494+0.034634
## [331] train-mlogloss:0.019145+0.000355 test-mlogloss:1.082517+0.035132
## [332] train-mlogloss:0.019058+0.000353 test-mlogloss:1.082736+0.034243
## [333] train-mlogloss:0.018977+0.000349 test-mlogloss:1.083597+0.034604
## [334] train-mlogloss:0.018897+0.000369 test-mlogloss:1.084145+0.034502
## [335] train-mlogloss:0.018825+0.000363 test-mlogloss:1.083628+0.034950
## [336] train-mlogloss:0.018708+0.000350 test-mlogloss:1.085214+0.035174
## [337] train-mlogloss:0.018627+0.000367 test-mlogloss:1.086615+0.035103
## [338] train-mlogloss:0.018541+0.000371 test-mlogloss:1.086969+0.035607
## [339] train-mlogloss:0.018436+0.000391 test-mlogloss:1.086576+0.035676
## [340] train-mlogloss:0.018384+0.000407 test-mlogloss:1.087243+0.035310
## [341] train-mlogloss:0.018293+0.000395 test-mlogloss:1.087455+0.035452
## [342] train-mlogloss:0.018213+0.000401 test-mlogloss:1.088092+0.035195
## [343] train-mlogloss:0.018116+0.000400 test-mlogloss:1.088105+0.034062
## [344] train-mlogloss:0.018044+0.000408 test-mlogloss:1.089184+0.033387
## [345] train-mlogloss:0.017963+0.000412 test-mlogloss:1.090578+0.033457
## [346] train-mlogloss:0.017891+0.000418 test-mlogloss:1.089096+0.034562
## [347] train-mlogloss:0.017805+0.000402 test-mlogloss:1.090020+0.034392
## [348] train-mlogloss:0.017737+0.000403 test-mlogloss:1.090229+0.033284
## [349] train-mlogloss:0.017672+0.000392 test-mlogloss:1.091109+0.033519
## [350] train-mlogloss:0.017595+0.000403 test-mlogloss:1.091731+0.034220
## [351] train-mlogloss:0.017516+0.000399 test-mlogloss:1.092368+0.035135
## [352] train-mlogloss:0.017442+0.000394 test-mlogloss:1.093207+0.034813
## [353] train-mlogloss:0.017374+0.000400 test-mlogloss:1.093882+0.035017
## [354] train-mlogloss:0.017300+0.000381 test-mlogloss:1.094889+0.034578
## [355] train-mlogloss:0.017217+0.000382 test-mlogloss:1.095234+0.034152
## [356] train-mlogloss:0.017146+0.000367 test-mlogloss:1.096585+0.033795
## [357] train-mlogloss:0.017089+0.000353 test-mlogloss:1.098211+0.033279
## [358] train-mlogloss:0.017000+0.000362 test-mlogloss:1.098326+0.033161
## [359] train-mlogloss:0.016906+0.000376 test-mlogloss:1.098800+0.033993
## [360] train-mlogloss:0.016853+0.000378 test-mlogloss:1.099490+0.033491
## [361] train-mlogloss:0.016773+0.000390 test-mlogloss:1.100705+0.034865
## [362] train-mlogloss:0.016692+0.000382 test-mlogloss:1.102434+0.035071
## [363] train-mlogloss:0.016635+0.000377 test-mlogloss:1.102524+0.035511
## [364] train-mlogloss:0.016572+0.000377 test-mlogloss:1.102683+0.035699
## [365] train-mlogloss:0.016514+0.000386 test-mlogloss:1.102647+0.034830
## [366] train-mlogloss:0.016436+0.000387 test-mlogloss:1.104260+0.035042
## [367] train-mlogloss:0.016356+0.000387 test-mlogloss:1.105596+0.034659
## [368] train-mlogloss:0.016278+0.000390 test-mlogloss:1.105976+0.034049
## [369] train-mlogloss:0.016205+0.000380 test-mlogloss:1.107642+0.034413
## [370] train-mlogloss:0.016133+0.000375 test-mlogloss:1.108333+0.034279
## [371] train-mlogloss:0.016073+0.000386 test-mlogloss:1.110421+0.033468
## [372] train-mlogloss:0.016016+0.000395 test-mlogloss:1.110274+0.034307
## [373] train-mlogloss:0.015954+0.000395 test-mlogloss:1.110146+0.034180
## [374] train-mlogloss:0.015901+0.000397 test-mlogloss:1.111314+0.034404
## [375] train-mlogloss:0.015841+0.000402 test-mlogloss:1.112071+0.033416
## [376] train-mlogloss:0.015785+0.000403 test-mlogloss:1.113208+0.034389
## [377] train-mlogloss:0.015709+0.000392 test-mlogloss:1.113326+0.034085
## [378] train-mlogloss:0.015627+0.000393 test-mlogloss:1.113910+0.035271
## [379] train-mlogloss:0.015576+0.000386 test-mlogloss:1.114917+0.036097
## [380] train-mlogloss:0.015507+0.000382 test-mlogloss:1.115521+0.035062
## [381] train-mlogloss:0.015442+0.000373 test-mlogloss:1.117628+0.034458
## [382] train-mlogloss:0.015394+0.000375 test-mlogloss:1.118730+0.035494
## [383] train-mlogloss:0.015321+0.000373 test-mlogloss:1.119355+0.035298
## [384] train-mlogloss:0.015240+0.000381 test-mlogloss:1.119459+0.035749
## [385] train-mlogloss:0.015179+0.000388 test-mlogloss:1.120071+0.035671
## [386] train-mlogloss:0.015115+0.000377 test-mlogloss:1.119887+0.036566
## [387] train-mlogloss:0.015055+0.000372 test-mlogloss:1.120786+0.036246
## [388] train-mlogloss:0.015007+0.000364 test-mlogloss:1.120945+0.035723
## [389] train-mlogloss:0.014946+0.000362 test-mlogloss:1.121067+0.035303
## [390] train-mlogloss:0.014883+0.000357 test-mlogloss:1.122926+0.036253
## [391] train-mlogloss:0.014817+0.000350 test-mlogloss:1.123249+0.034642
## [392] train-mlogloss:0.014767+0.000344 test-mlogloss:1.123013+0.034913
## [393] train-mlogloss:0.014723+0.000349 test-mlogloss:1.123473+0.034987
## [394] train-mlogloss:0.014661+0.000338 test-mlogloss:1.123971+0.034609
## [395] train-mlogloss:0.014593+0.000336 test-mlogloss:1.124642+0.035123
## [396] train-mlogloss:0.014541+0.000330 test-mlogloss:1.125406+0.036407
## [397] train-mlogloss:0.014479+0.000336 test-mlogloss:1.125938+0.036162
## [398] train-mlogloss:0.014422+0.000330 test-mlogloss:1.126451+0.035376
## [399] train-mlogloss:0.014372+0.000321 test-mlogloss:1.126227+0.035272
## [400] train-mlogloss:0.014309+0.000322 test-mlogloss:1.127543+0.034743
## [401] train-mlogloss:0.014263+0.000324 test-mlogloss:1.127515+0.034726
## [402] train-mlogloss:0.014219+0.000322 test-mlogloss:1.127796+0.036088
## [403] train-mlogloss:0.014147+0.000311 test-mlogloss:1.128882+0.036081
## [404] train-mlogloss:0.014093+0.000308 test-mlogloss:1.129171+0.036531
## [405] train-mlogloss:0.014053+0.000298 test-mlogloss:1.128938+0.037012
## [406] train-mlogloss:0.014003+0.000283 test-mlogloss:1.129820+0.036088
## [407] train-mlogloss:0.013953+0.000287 test-mlogloss:1.130882+0.036022
## [408] train-mlogloss:0.013914+0.000283 test-mlogloss:1.132176+0.036093
## [409] train-mlogloss:0.013852+0.000289 test-mlogloss:1.131956+0.035795
## [410] train-mlogloss:0.013800+0.000291 test-mlogloss:1.133217+0.035615
## [411] train-mlogloss:0.013759+0.000297 test-mlogloss:1.133510+0.035089
## [412] train-mlogloss:0.013712+0.000295 test-mlogloss:1.134239+0.034971
## [413] train-mlogloss:0.013660+0.000279 test-mlogloss:1.135177+0.035312
## [414] train-mlogloss:0.013606+0.000289 test-mlogloss:1.135808+0.036785
## [415] train-mlogloss:0.013565+0.000280 test-mlogloss:1.136963+0.037060
## [416] train-mlogloss:0.013514+0.000275 test-mlogloss:1.137112+0.036116
## [417] train-mlogloss:0.013460+0.000272 test-mlogloss:1.137792+0.035862
## [418] train-mlogloss:0.013407+0.000275 test-mlogloss:1.138005+0.036758
## [419] train-mlogloss:0.013345+0.000277 test-mlogloss:1.138139+0.036203
## [420] train-mlogloss:0.013295+0.000262 test-mlogloss:1.139262+0.035952
## [421] train-mlogloss:0.013252+0.000261 test-mlogloss:1.140558+0.035167
## [422] train-mlogloss:0.013202+0.000262 test-mlogloss:1.140773+0.034957
## [423] train-mlogloss:0.013161+0.000260 test-mlogloss:1.141127+0.035338
## [424] train-mlogloss:0.013114+0.000258 test-mlogloss:1.141073+0.035710
## [425] train-mlogloss:0.013066+0.000255 test-mlogloss:1.141731+0.035631
## [426] train-mlogloss:0.013027+0.000246 test-mlogloss:1.142581+0.035876
## [427] train-mlogloss:0.012971+0.000246 test-mlogloss:1.142986+0.035230
## [428] train-mlogloss:0.012925+0.000242 test-mlogloss:1.143044+0.034114
## [429] train-mlogloss:0.012875+0.000246 test-mlogloss:1.143620+0.034430
## [430] train-mlogloss:0.012836+0.000239 test-mlogloss:1.144301+0.034544
## [431] train-mlogloss:0.012788+0.000239 test-mlogloss:1.145886+0.034335
## [432] train-mlogloss:0.012747+0.000238 test-mlogloss:1.145319+0.033878
## [433] train-mlogloss:0.012702+0.000238 test-mlogloss:1.146003+0.034357
## [434] train-mlogloss:0.012655+0.000231 test-mlogloss:1.146690+0.033662
## [435] train-mlogloss:0.012612+0.000233 test-mlogloss:1.147072+0.034595
## [436] train-mlogloss:0.012574+0.000233 test-mlogloss:1.148129+0.033796
## [437] train-mlogloss:0.012528+0.000241 test-mlogloss:1.147566+0.034405
## [438] train-mlogloss:0.012490+0.000243 test-mlogloss:1.148071+0.035092
## [439] train-mlogloss:0.012455+0.000235 test-mlogloss:1.148898+0.035260
## [440] train-mlogloss:0.012417+0.000236 test-mlogloss:1.148611+0.035946
## [441] train-mlogloss:0.012370+0.000237 test-mlogloss:1.149727+0.035832
## [442] train-mlogloss:0.012336+0.000227 test-mlogloss:1.150773+0.036645
## [443] train-mlogloss:0.012299+0.000219 test-mlogloss:1.151296+0.036439
## [444] train-mlogloss:0.012264+0.000205 test-mlogloss:1.151227+0.036385
## [445] train-mlogloss:0.012221+0.000193 test-mlogloss:1.151389+0.037163
## [446] train-mlogloss:0.012173+0.000193 test-mlogloss:1.151960+0.035716
## [447] train-mlogloss:0.012146+0.000194 test-mlogloss:1.152796+0.035694
## [448] train-mlogloss:0.012104+0.000193 test-mlogloss:1.153521+0.035925
## [449] train-mlogloss:0.012069+0.000187 test-mlogloss:1.154237+0.035218
## [450] train-mlogloss:0.012029+0.000196 test-mlogloss:1.155074+0.035314
## [451] train-mlogloss:0.011990+0.000193 test-mlogloss:1.155645+0.035150
## [452] train-mlogloss:0.011956+0.000198 test-mlogloss:1.155772+0.035484
## [453] train-mlogloss:0.011923+0.000198 test-mlogloss:1.156178+0.035116
## [454] train-mlogloss:0.011887+0.000191 test-mlogloss:1.155737+0.035070
## [455] train-mlogloss:0.011844+0.000196 test-mlogloss:1.156289+0.035332
## [456] train-mlogloss:0.011821+0.000193 test-mlogloss:1.156470+0.035692
## [457] train-mlogloss:0.011781+0.000200 test-mlogloss:1.156569+0.035643
## [458] train-mlogloss:0.011740+0.000193 test-mlogloss:1.157832+0.036276
## [459] train-mlogloss:0.011699+0.000194 test-mlogloss:1.157976+0.036222
## [460] train-mlogloss:0.011669+0.000199 test-mlogloss:1.158437+0.035516
## [461] train-mlogloss:0.011643+0.000189 test-mlogloss:1.159646+0.035317
## [462] train-mlogloss:0.011606+0.000200 test-mlogloss:1.161028+0.034229
## [463] train-mlogloss:0.011576+0.000196 test-mlogloss:1.162199+0.034908
## [464] train-mlogloss:0.011536+0.000189 test-mlogloss:1.162702+0.034275
## [465] train-mlogloss:0.011503+0.000180 test-mlogloss:1.163085+0.034710
## [466] train-mlogloss:0.011473+0.000183 test-mlogloss:1.163340+0.035391
## [467] train-mlogloss:0.011433+0.000183 test-mlogloss:1.164598+0.034970
## [468] train-mlogloss:0.011397+0.000180 test-mlogloss:1.165558+0.034871
## [469] train-mlogloss:0.011371+0.000182 test-mlogloss:1.165727+0.033722
## [470] train-mlogloss:0.011342+0.000181 test-mlogloss:1.165864+0.033282
## [471] train-mlogloss:0.011310+0.000183 test-mlogloss:1.166549+0.033764
## [472] train-mlogloss:0.011282+0.000180 test-mlogloss:1.166929+0.033354
## [473] train-mlogloss:0.011255+0.000177 test-mlogloss:1.168022+0.034565
## [474] train-mlogloss:0.011209+0.000170 test-mlogloss:1.168353+0.033923
## [475] train-mlogloss:0.011177+0.000168 test-mlogloss:1.167857+0.033797
## [476] train-mlogloss:0.011146+0.000168 test-mlogloss:1.168620+0.033459
## [477] train-mlogloss:0.011109+0.000165 test-mlogloss:1.169063+0.034822
## [478] train-mlogloss:0.011084+0.000163 test-mlogloss:1.169910+0.034593
## [479] train-mlogloss:0.011051+0.000163 test-mlogloss:1.170596+0.034163
## [480] train-mlogloss:0.011011+0.000161 test-mlogloss:1.170548+0.034988
## [481] train-mlogloss:0.010971+0.000156 test-mlogloss:1.171294+0.034648
## [482] train-mlogloss:0.010947+0.000153 test-mlogloss:1.171544+0.034693
## [483] train-mlogloss:0.010910+0.000150 test-mlogloss:1.171808+0.035598
## [484] train-mlogloss:0.010877+0.000150 test-mlogloss:1.173426+0.035033
## [485] train-mlogloss:0.010845+0.000148 test-mlogloss:1.174292+0.035342
## [486] train-mlogloss:0.010821+0.000151 test-mlogloss:1.174143+0.034975
## [487] train-mlogloss:0.010792+0.000145 test-mlogloss:1.174326+0.035123
## [488] train-mlogloss:0.010761+0.000150 test-mlogloss:1.174681+0.035904
## [489] train-mlogloss:0.010739+0.000151 test-mlogloss:1.174398+0.035673
## [490] train-mlogloss:0.010708+0.000145 test-mlogloss:1.174109+0.036406
## [491] train-mlogloss:0.010683+0.000142 test-mlogloss:1.175173+0.036144
## [492] train-mlogloss:0.010657+0.000137 test-mlogloss:1.174847+0.035377
## [493] train-mlogloss:0.010624+0.000134 test-mlogloss:1.175907+0.035967
## [494] train-mlogloss:0.010606+0.000135 test-mlogloss:1.175904+0.035876
## [495] train-mlogloss:0.010577+0.000134 test-mlogloss:1.176913+0.035779
## [496] train-mlogloss:0.010549+0.000132 test-mlogloss:1.177094+0.034687
## [497] train-mlogloss:0.010521+0.000135 test-mlogloss:1.177179+0.034970
## [498] train-mlogloss:0.010492+0.000128 test-mlogloss:1.178205+0.035116
## [499] train-mlogloss:0.010463+0.000128 test-mlogloss:1.179272+0.035000
## [500] train-mlogloss:0.010444+0.000129 test-mlogloss:1.179667+0.034438
## [1] train-mlogloss:0.462790+0.003518 test-mlogloss:0.588552+0.006192
## [2] train-mlogloss:0.370149+0.002709 test-mlogloss:0.594436+0.008173
## [3] train-mlogloss:0.309960+0.002888 test-mlogloss:0.612051+0.011163
## [4] train-mlogloss:0.264644+0.000912 test-mlogloss:0.629873+0.013416
## [5] train-mlogloss:0.229681+0.003117 test-mlogloss:0.652924+0.016109
## [6] train-mlogloss:0.204408+0.003858 test-mlogloss:0.664770+0.016389
## [7] train-mlogloss:0.183080+0.004435 test-mlogloss:0.676136+0.013778
## [8] train-mlogloss:0.162918+0.004991 test-mlogloss:0.691966+0.018162
## [9] train-mlogloss:0.146471+0.004010 test-mlogloss:0.706576+0.017642
## [10] train-mlogloss:0.133842+0.003430 test-mlogloss:0.715564+0.018022
## [11] train-mlogloss:0.120797+0.003504 test-mlogloss:0.724820+0.019938
## [12] train-mlogloss:0.110669+0.003003 test-mlogloss:0.735590+0.018183
## [13] train-mlogloss:0.101937+0.002559 test-mlogloss:0.743028+0.018566
## [14] train-mlogloss:0.094239+0.002533 test-mlogloss:0.751623+0.016609
## [15] train-mlogloss:0.087599+0.002081 test-mlogloss:0.754585+0.014277
## [16] train-mlogloss:0.081688+0.001989 test-mlogloss:0.761263+0.014041
## [17] train-mlogloss:0.076530+0.001979 test-mlogloss:0.768475+0.014920
## [18] train-mlogloss:0.071897+0.001952 test-mlogloss:0.775012+0.016355
## [19] train-mlogloss:0.067714+0.001712 test-mlogloss:0.783598+0.016376
## [20] train-mlogloss:0.064205+0.001609 test-mlogloss:0.787813+0.015312
## [21] train-mlogloss:0.061043+0.001540 test-mlogloss:0.795186+0.016402
## [22] train-mlogloss:0.058058+0.001463 test-mlogloss:0.800807+0.016003
## [23] train-mlogloss:0.055334+0.001435 test-mlogloss:0.807399+0.016244
## [24] train-mlogloss:0.052903+0.001451 test-mlogloss:0.812561+0.018235
## [25] train-mlogloss:0.050634+0.001136 test-mlogloss:0.817177+0.019797
## [26] train-mlogloss:0.048625+0.001014 test-mlogloss:0.821705+0.019391
## [27] train-mlogloss:0.046798+0.000951 test-mlogloss:0.827690+0.020803
## [28] train-mlogloss:0.045016+0.000772 test-mlogloss:0.831714+0.021361
## [29] train-mlogloss:0.043411+0.000635 test-mlogloss:0.834759+0.022532
## [30] train-mlogloss:0.041906+0.000564 test-mlogloss:0.838814+0.020801
## [31] train-mlogloss:0.040578+0.000599 test-mlogloss:0.841584+0.022392
## [32] train-mlogloss:0.039294+0.000572 test-mlogloss:0.842968+0.021749
## [33] train-mlogloss:0.038082+0.000496 test-mlogloss:0.847145+0.021752
## [34] train-mlogloss:0.036991+0.000552 test-mlogloss:0.851759+0.021487
## [35] train-mlogloss:0.035910+0.000502 test-mlogloss:0.855939+0.021190
## [36] train-mlogloss:0.034897+0.000541 test-mlogloss:0.858463+0.019874
## [37] train-mlogloss:0.033960+0.000470 test-mlogloss:0.863564+0.020089
## [38] train-mlogloss:0.033027+0.000494 test-mlogloss:0.867027+0.019747
## [39] train-mlogloss:0.032145+0.000487 test-mlogloss:0.872402+0.018855
## [40] train-mlogloss:0.031339+0.000511 test-mlogloss:0.875894+0.019089
## [41] train-mlogloss:0.030633+0.000474 test-mlogloss:0.880345+0.018770
## [42] train-mlogloss:0.029879+0.000452 test-mlogloss:0.882558+0.020760
## [43] train-mlogloss:0.029180+0.000430 test-mlogloss:0.884834+0.021124
## [44] train-mlogloss:0.028581+0.000428 test-mlogloss:0.888266+0.021295
## [45] train-mlogloss:0.027996+0.000437 test-mlogloss:0.890895+0.022414
## [46] train-mlogloss:0.027423+0.000358 test-mlogloss:0.894560+0.022431
## [47] train-mlogloss:0.026879+0.000357 test-mlogloss:0.897096+0.023840
## [48] train-mlogloss:0.026323+0.000302 test-mlogloss:0.900050+0.023474
## [49] train-mlogloss:0.025843+0.000277 test-mlogloss:0.902988+0.023146
## [50] train-mlogloss:0.025373+0.000251 test-mlogloss:0.905106+0.024444
## [51] train-mlogloss:0.024923+0.000235 test-mlogloss:0.908459+0.024599
## [52] train-mlogloss:0.024498+0.000218 test-mlogloss:0.907576+0.024366
## [53] train-mlogloss:0.024103+0.000258 test-mlogloss:0.910288+0.023711
## [54] train-mlogloss:0.023711+0.000237 test-mlogloss:0.911795+0.024050
## [55] train-mlogloss:0.023338+0.000213 test-mlogloss:0.912702+0.023800
## [56] train-mlogloss:0.022969+0.000206 test-mlogloss:0.914913+0.023655
## [57] train-mlogloss:0.022602+0.000202 test-mlogloss:0.918254+0.023962
## [58] train-mlogloss:0.022237+0.000206 test-mlogloss:0.920858+0.023457
## [59] train-mlogloss:0.021877+0.000184 test-mlogloss:0.923732+0.023373
## [60] train-mlogloss:0.021561+0.000174 test-mlogloss:0.924006+0.024584
## [61] train-mlogloss:0.021249+0.000165 test-mlogloss:0.923823+0.025167
## [62] train-mlogloss:0.020936+0.000175 test-mlogloss:0.927158+0.025728
## [63] train-mlogloss:0.020647+0.000199 test-mlogloss:0.927372+0.025501
## [64] train-mlogloss:0.020344+0.000179 test-mlogloss:0.928699+0.024160
## [65] train-mlogloss:0.020096+0.000176 test-mlogloss:0.931189+0.023949
## [66] train-mlogloss:0.019859+0.000159 test-mlogloss:0.933558+0.024778
## [67] train-mlogloss:0.019621+0.000151 test-mlogloss:0.934313+0.024835
## [68] train-mlogloss:0.019381+0.000146 test-mlogloss:0.934734+0.024594
## [69] train-mlogloss:0.019131+0.000131 test-mlogloss:0.937179+0.024970
## [70] train-mlogloss:0.018892+0.000142 test-mlogloss:0.937936+0.024671
## [71] train-mlogloss:0.018664+0.000152 test-mlogloss:0.939255+0.025605
## [72] train-mlogloss:0.018452+0.000150 test-mlogloss:0.940676+0.025753
## [73] train-mlogloss:0.018254+0.000168 test-mlogloss:0.941864+0.027047
## [74] train-mlogloss:0.018037+0.000165 test-mlogloss:0.942660+0.027114
## [75] train-mlogloss:0.017833+0.000157 test-mlogloss:0.944673+0.026151
## [76] train-mlogloss:0.017636+0.000192 test-mlogloss:0.945986+0.027229
## [77] train-mlogloss:0.017442+0.000189 test-mlogloss:0.947891+0.027224
## [78] train-mlogloss:0.017254+0.000176 test-mlogloss:0.949420+0.028252
## [79] train-mlogloss:0.017070+0.000174 test-mlogloss:0.949204+0.028100
## [80] train-mlogloss:0.016889+0.000191 test-mlogloss:0.950578+0.029160
## [81] train-mlogloss:0.016717+0.000195 test-mlogloss:0.951606+0.028603
## [82] train-mlogloss:0.016548+0.000194 test-mlogloss:0.951619+0.029654
## [83] train-mlogloss:0.016368+0.000180 test-mlogloss:0.952724+0.029250
## [84] train-mlogloss:0.016209+0.000179 test-mlogloss:0.953954+0.029648
## [85] train-mlogloss:0.016040+0.000176 test-mlogloss:0.955578+0.030548
## [86] train-mlogloss:0.015888+0.000161 test-mlogloss:0.956328+0.031780
## [87] train-mlogloss:0.015728+0.000154 test-mlogloss:0.958308+0.031677
## [88] train-mlogloss:0.015582+0.000156 test-mlogloss:0.959535+0.031841
## [89] train-mlogloss:0.015458+0.000172 test-mlogloss:0.961563+0.031279
## [90] train-mlogloss:0.015325+0.000178 test-mlogloss:0.960861+0.030996
## [91] train-mlogloss:0.015202+0.000174 test-mlogloss:0.961823+0.032067
## [92] train-mlogloss:0.015061+0.000178 test-mlogloss:0.964038+0.031576
## [93] train-mlogloss:0.014935+0.000179 test-mlogloss:0.965216+0.031177
## [94] train-mlogloss:0.014810+0.000177 test-mlogloss:0.966255+0.030180
## [95] train-mlogloss:0.014702+0.000165 test-mlogloss:0.967106+0.031344
## [96] train-mlogloss:0.014572+0.000164 test-mlogloss:0.968604+0.032016
## [97] train-mlogloss:0.014461+0.000166 test-mlogloss:0.969294+0.033288
## [98] train-mlogloss:0.014337+0.000164 test-mlogloss:0.972183+0.032074
## [99] train-mlogloss:0.014215+0.000155 test-mlogloss:0.972311+0.031594
## [100] train-mlogloss:0.014101+0.000154 test-mlogloss:0.974727+0.032946
## [101] train-mlogloss:0.013993+0.000165 test-mlogloss:0.975982+0.032379
## [102] train-mlogloss:0.013890+0.000165 test-mlogloss:0.975751+0.032331
## [103] train-mlogloss:0.013794+0.000168 test-mlogloss:0.977425+0.031798
## [104] train-mlogloss:0.013688+0.000156 test-mlogloss:0.977619+0.031098
## [105] train-mlogloss:0.013589+0.000155 test-mlogloss:0.978689+0.031507
## [106] train-mlogloss:0.013481+0.000148 test-mlogloss:0.980159+0.032035
## [107] train-mlogloss:0.013377+0.000144 test-mlogloss:0.979956+0.031540
## [108] train-mlogloss:0.013284+0.000149 test-mlogloss:0.981235+0.032310
## [109] train-mlogloss:0.013188+0.000146 test-mlogloss:0.981767+0.032420
## [110] train-mlogloss:0.013097+0.000150 test-mlogloss:0.983049+0.031101
## [111] train-mlogloss:0.013003+0.000139 test-mlogloss:0.984580+0.032038
## [112] train-mlogloss:0.012917+0.000139 test-mlogloss:0.984470+0.031218
## [113] train-mlogloss:0.012834+0.000138 test-mlogloss:0.985538+0.031760
## [114] train-mlogloss:0.012736+0.000134 test-mlogloss:0.986166+0.031883
## [115] train-mlogloss:0.012647+0.000130 test-mlogloss:0.989348+0.031720
## [116] train-mlogloss:0.012566+0.000128 test-mlogloss:0.991571+0.032080
## [117] train-mlogloss:0.012472+0.000131 test-mlogloss:0.992757+0.031770
## [118] train-mlogloss:0.012402+0.000130 test-mlogloss:0.993141+0.030171
## [119] train-mlogloss:0.012332+0.000131 test-mlogloss:0.994137+0.030808
## [120] train-mlogloss:0.012260+0.000135 test-mlogloss:0.994339+0.031253
## [121] train-mlogloss:0.012194+0.000130 test-mlogloss:0.995447+0.031031
## [122] train-mlogloss:0.012114+0.000127 test-mlogloss:0.996214+0.032616
## [123] train-mlogloss:0.012038+0.000123 test-mlogloss:0.997023+0.032270
## [124] train-mlogloss:0.011964+0.000123 test-mlogloss:0.998150+0.032556
## [125] train-mlogloss:0.011904+0.000128 test-mlogloss:1.000142+0.032036
## [126] train-mlogloss:0.011842+0.000128 test-mlogloss:1.001593+0.031843
## [127] train-mlogloss:0.011776+0.000125 test-mlogloss:1.001525+0.032048
## [128] train-mlogloss:0.011711+0.000122 test-mlogloss:1.003057+0.031938
## [129] train-mlogloss:0.011646+0.000118 test-mlogloss:1.003977+0.031577
## [130] train-mlogloss:0.011576+0.000114 test-mlogloss:1.003442+0.032083
## [131] train-mlogloss:0.011503+0.000113 test-mlogloss:1.004289+0.032130
## [132] train-mlogloss:0.011445+0.000116 test-mlogloss:1.005019+0.033127
## [133] train-mlogloss:0.011382+0.000116 test-mlogloss:1.006246+0.032615
## [134] train-mlogloss:0.011321+0.000110 test-mlogloss:1.007426+0.032151
## [135] train-mlogloss:0.011257+0.000103 test-mlogloss:1.007375+0.032395
## [136] train-mlogloss:0.011189+0.000104 test-mlogloss:1.008408+0.030959
## [137] train-mlogloss:0.011128+0.000105 test-mlogloss:1.009099+0.030615
## [138] train-mlogloss:0.011073+0.000103 test-mlogloss:1.009937+0.030620
## [139] train-mlogloss:0.011016+0.000108 test-mlogloss:1.011158+0.031109
## [140] train-mlogloss:0.010956+0.000106 test-mlogloss:1.013156+0.030759
## [141] train-mlogloss:0.010900+0.000104 test-mlogloss:1.013358+0.031170
## [142] train-mlogloss:0.010845+0.000102 test-mlogloss:1.013221+0.031355
## [143] train-mlogloss:0.010785+0.000103 test-mlogloss:1.013228+0.030892
## [144] train-mlogloss:0.010731+0.000105 test-mlogloss:1.013860+0.030965
## [145] train-mlogloss:0.010676+0.000099 test-mlogloss:1.014893+0.030769
## [146] train-mlogloss:0.010621+0.000099 test-mlogloss:1.015697+0.030439
## [147] train-mlogloss:0.010569+0.000097 test-mlogloss:1.017224+0.029678
## [148] train-mlogloss:0.010517+0.000103 test-mlogloss:1.017818+0.030484
## [149] train-mlogloss:0.010461+0.000103 test-mlogloss:1.018550+0.030420
## [150] train-mlogloss:0.010409+0.000099 test-mlogloss:1.020544+0.031812
## [151] train-mlogloss:0.010360+0.000094 test-mlogloss:1.021534+0.031857
## [152] train-mlogloss:0.010316+0.000092 test-mlogloss:1.022036+0.032072
## [153] train-mlogloss:0.010274+0.000094 test-mlogloss:1.022931+0.032319
## [154] train-mlogloss:0.010230+0.000095 test-mlogloss:1.024368+0.031667
## [155] train-mlogloss:0.010187+0.000089 test-mlogloss:1.025505+0.030681
## [156] train-mlogloss:0.010144+0.000087 test-mlogloss:1.025565+0.031539
## [157] train-mlogloss:0.010100+0.000088 test-mlogloss:1.026347+0.030528
## [158] train-mlogloss:0.010047+0.000085 test-mlogloss:1.027167+0.031000
## [159] train-mlogloss:0.009999+0.000094 test-mlogloss:1.027258+0.031298
## [160] train-mlogloss:0.009954+0.000088 test-mlogloss:1.027683+0.031368
## [161] train-mlogloss:0.009911+0.000084 test-mlogloss:1.027146+0.031162
## [162] train-mlogloss:0.009868+0.000089 test-mlogloss:1.028099+0.031526
## [163] train-mlogloss:0.009826+0.000080 test-mlogloss:1.029174+0.031968
## [164] train-mlogloss:0.009790+0.000071 test-mlogloss:1.030175+0.032834
## [165] train-mlogloss:0.009746+0.000074 test-mlogloss:1.031536+0.034237
## [166] train-mlogloss:0.009712+0.000077 test-mlogloss:1.032875+0.034538
## [167] train-mlogloss:0.009665+0.000067 test-mlogloss:1.032864+0.034427
## [168] train-mlogloss:0.009625+0.000071 test-mlogloss:1.033063+0.033404
## [169] train-mlogloss:0.009578+0.000072 test-mlogloss:1.033438+0.034294
## [170] train-mlogloss:0.009542+0.000065 test-mlogloss:1.034491+0.034437
## [171] train-mlogloss:0.009501+0.000065 test-mlogloss:1.035051+0.034633
## [172] train-mlogloss:0.009465+0.000066 test-mlogloss:1.036645+0.034644
## [173] train-mlogloss:0.009425+0.000064 test-mlogloss:1.037288+0.034959
## [174] train-mlogloss:0.009387+0.000063 test-mlogloss:1.036755+0.034644
## [175] train-mlogloss:0.009348+0.000062 test-mlogloss:1.036842+0.034336
## [176] train-mlogloss:0.009312+0.000064 test-mlogloss:1.037203+0.034368
## [177] train-mlogloss:0.009276+0.000059 test-mlogloss:1.038300+0.034724
## [178] train-mlogloss:0.009240+0.000066 test-mlogloss:1.040606+0.035033
## [179] train-mlogloss:0.009204+0.000063 test-mlogloss:1.040949+0.035569
## [180] train-mlogloss:0.009170+0.000059 test-mlogloss:1.040978+0.035540
## [181] train-mlogloss:0.009140+0.000057 test-mlogloss:1.041606+0.035744
## [182] train-mlogloss:0.009109+0.000052 test-mlogloss:1.041465+0.035477
## [183] train-mlogloss:0.009079+0.000052 test-mlogloss:1.043255+0.035678
## [184] train-mlogloss:0.009044+0.000054 test-mlogloss:1.043515+0.035893
## [185] train-mlogloss:0.009010+0.000051 test-mlogloss:1.043310+0.035784
## [186] train-mlogloss:0.008976+0.000056 test-mlogloss:1.043705+0.035483
## [187] train-mlogloss:0.008943+0.000055 test-mlogloss:1.044445+0.035311
## [188] train-mlogloss:0.008908+0.000056 test-mlogloss:1.044885+0.035321
## [189] train-mlogloss:0.008879+0.000050 test-mlogloss:1.045036+0.035109
## [190] train-mlogloss:0.008843+0.000044 test-mlogloss:1.046444+0.034792
## [191] train-mlogloss:0.008809+0.000044 test-mlogloss:1.046319+0.034461
## [192] train-mlogloss:0.008777+0.000042 test-mlogloss:1.046715+0.034356
## [193] train-mlogloss:0.008746+0.000044 test-mlogloss:1.047482+0.034436
## [194] train-mlogloss:0.008712+0.000041 test-mlogloss:1.047786+0.034587
## [195] train-mlogloss:0.008679+0.000046 test-mlogloss:1.049128+0.035176
## [196] train-mlogloss:0.008644+0.000046 test-mlogloss:1.049118+0.033923
## [197] train-mlogloss:0.008615+0.000048 test-mlogloss:1.050312+0.034241
## [198] train-mlogloss:0.008582+0.000051 test-mlogloss:1.050728+0.034335
## [199] train-mlogloss:0.008552+0.000047 test-mlogloss:1.051448+0.035265
## [200] train-mlogloss:0.008525+0.000044 test-mlogloss:1.051906+0.034870
## [201] train-mlogloss:0.008499+0.000040 test-mlogloss:1.052637+0.035276
## [202] train-mlogloss:0.008474+0.000042 test-mlogloss:1.053451+0.035624
## [203] train-mlogloss:0.008447+0.000041 test-mlogloss:1.052944+0.035657
## [204] train-mlogloss:0.008422+0.000046 test-mlogloss:1.053581+0.035135
## [205] train-mlogloss:0.008396+0.000045 test-mlogloss:1.053598+0.034066
## [206] train-mlogloss:0.008370+0.000047 test-mlogloss:1.053754+0.034161
## [207] train-mlogloss:0.008340+0.000041 test-mlogloss:1.054169+0.034230
## [208] train-mlogloss:0.008313+0.000041 test-mlogloss:1.054577+0.034290
## [209] train-mlogloss:0.008285+0.000037 test-mlogloss:1.054958+0.034232
## [210] train-mlogloss:0.008258+0.000040 test-mlogloss:1.055512+0.033453
## [211] train-mlogloss:0.008228+0.000046 test-mlogloss:1.055706+0.033603
## [212] train-mlogloss:0.008205+0.000048 test-mlogloss:1.056539+0.033950
## [213] train-mlogloss:0.008180+0.000046 test-mlogloss:1.055402+0.034159
## [214] train-mlogloss:0.008153+0.000054 test-mlogloss:1.055876+0.033839
## [215] train-mlogloss:0.008134+0.000052 test-mlogloss:1.055470+0.034665
## [216] train-mlogloss:0.008109+0.000052 test-mlogloss:1.056008+0.034914
## [217] train-mlogloss:0.008080+0.000054 test-mlogloss:1.056683+0.034233
## [218] train-mlogloss:0.008048+0.000054 test-mlogloss:1.057296+0.034316
## [219] train-mlogloss:0.008025+0.000051 test-mlogloss:1.058278+0.034897
## [220] train-mlogloss:0.008000+0.000050 test-mlogloss:1.057754+0.033798
## [221] train-mlogloss:0.007981+0.000052 test-mlogloss:1.058226+0.034307
## [222] train-mlogloss:0.007953+0.000051 test-mlogloss:1.058362+0.033900
## [223] train-mlogloss:0.007928+0.000057 test-mlogloss:1.059164+0.034717
## [224] train-mlogloss:0.007907+0.000056 test-mlogloss:1.061337+0.035200
## [225] train-mlogloss:0.007883+0.000055 test-mlogloss:1.061388+0.035173
## [226] train-mlogloss:0.007859+0.000054 test-mlogloss:1.060418+0.034404
## [227] train-mlogloss:0.007833+0.000050 test-mlogloss:1.061382+0.034471
## [228] train-mlogloss:0.007811+0.000044 test-mlogloss:1.061773+0.034856
## [229] train-mlogloss:0.007788+0.000046 test-mlogloss:1.061044+0.034532
## [230] train-mlogloss:0.007768+0.000047 test-mlogloss:1.062612+0.034771
## [231] train-mlogloss:0.007746+0.000048 test-mlogloss:1.063360+0.034291
## [232] train-mlogloss:0.007722+0.000045 test-mlogloss:1.064940+0.034244
## [233] train-mlogloss:0.007696+0.000048 test-mlogloss:1.064106+0.034329
## [234] train-mlogloss:0.007676+0.000052 test-mlogloss:1.065552+0.034510
## [235] train-mlogloss:0.007656+0.000049 test-mlogloss:1.065940+0.034609
## [236] train-mlogloss:0.007631+0.000050 test-mlogloss:1.066056+0.034994
## [237] train-mlogloss:0.007610+0.000050 test-mlogloss:1.067626+0.034789
## [238] train-mlogloss:0.007591+0.000049 test-mlogloss:1.067585+0.034964
## [239] train-mlogloss:0.007570+0.000052 test-mlogloss:1.068679+0.035228
## [240] train-mlogloss:0.007549+0.000054 test-mlogloss:1.069182+0.035417
## [241] train-mlogloss:0.007530+0.000051 test-mlogloss:1.069291+0.036054
## [242] train-mlogloss:0.007510+0.000050 test-mlogloss:1.069334+0.035955
## [243] train-mlogloss:0.007492+0.000048 test-mlogloss:1.069128+0.034789
## [244] train-mlogloss:0.007469+0.000048 test-mlogloss:1.069593+0.035326
## [245] train-mlogloss:0.007446+0.000046 test-mlogloss:1.070658+0.035135
## [246] train-mlogloss:0.007428+0.000046 test-mlogloss:1.071135+0.035377
## [247] train-mlogloss:0.007412+0.000043 test-mlogloss:1.070968+0.035180
## [248] train-mlogloss:0.007393+0.000045 test-mlogloss:1.071568+0.034601
## [249] train-mlogloss:0.007372+0.000044 test-mlogloss:1.071207+0.034846
## [250] train-mlogloss:0.007352+0.000043 test-mlogloss:1.071632+0.035091
## [251] train-mlogloss:0.007334+0.000043 test-mlogloss:1.070807+0.035362
## [252] train-mlogloss:0.007316+0.000041 test-mlogloss:1.070850+0.034986
## [253] train-mlogloss:0.007297+0.000042 test-mlogloss:1.071795+0.034837
## [254] train-mlogloss:0.007280+0.000041 test-mlogloss:1.073428+0.034023
## [255] train-mlogloss:0.007257+0.000042 test-mlogloss:1.072888+0.033178
## [256] train-mlogloss:0.007242+0.000043 test-mlogloss:1.074227+0.034215
## [257] train-mlogloss:0.007225+0.000045 test-mlogloss:1.074263+0.034457
## [258] train-mlogloss:0.007210+0.000046 test-mlogloss:1.075236+0.033959
## [259] train-mlogloss:0.007199+0.000046 test-mlogloss:1.074680+0.035905
## [260] train-mlogloss:0.007183+0.000047 test-mlogloss:1.075561+0.036078
## [261] train-mlogloss:0.007166+0.000051 test-mlogloss:1.075368+0.036396
## [262] train-mlogloss:0.007144+0.000050 test-mlogloss:1.076507+0.036839
## [263] train-mlogloss:0.007131+0.000051 test-mlogloss:1.075443+0.036303
## [264] train-mlogloss:0.007115+0.000049 test-mlogloss:1.076097+0.035727
## [265] train-mlogloss:0.007098+0.000047 test-mlogloss:1.076953+0.035728
## [266] train-mlogloss:0.007078+0.000052 test-mlogloss:1.076447+0.034802
## [267] train-mlogloss:0.007060+0.000054 test-mlogloss:1.077156+0.035287
## [268] train-mlogloss:0.007043+0.000050 test-mlogloss:1.077532+0.035191
## [269] train-mlogloss:0.007028+0.000050 test-mlogloss:1.078795+0.035486
## [270] train-mlogloss:0.007009+0.000048 test-mlogloss:1.078388+0.035892
## [271] train-mlogloss:0.006995+0.000050 test-mlogloss:1.078392+0.035393
## [272] train-mlogloss:0.006979+0.000054 test-mlogloss:1.077707+0.035440
## [273] train-mlogloss:0.006964+0.000054 test-mlogloss:1.078838+0.035825
## [274] train-mlogloss:0.006948+0.000057 test-mlogloss:1.078437+0.035696
## [275] train-mlogloss:0.006932+0.000051 test-mlogloss:1.079143+0.035516
## [276] train-mlogloss:0.006918+0.000047 test-mlogloss:1.079586+0.035503
## [277] train-mlogloss:0.006901+0.000046 test-mlogloss:1.079531+0.034742
## [278] train-mlogloss:0.006882+0.000051 test-mlogloss:1.079276+0.036229
## [279] train-mlogloss:0.006867+0.000053 test-mlogloss:1.079639+0.035772
## [280] train-mlogloss:0.006853+0.000052 test-mlogloss:1.079893+0.036058
## [281] train-mlogloss:0.006836+0.000051 test-mlogloss:1.079386+0.036113
## [282] train-mlogloss:0.006820+0.000049 test-mlogloss:1.080157+0.035328
## [283] train-mlogloss:0.006806+0.000048 test-mlogloss:1.081175+0.035222
## [284] train-mlogloss:0.006793+0.000048 test-mlogloss:1.082479+0.036349
## [285] train-mlogloss:0.006776+0.000049 test-mlogloss:1.082323+0.036318
## [286] train-mlogloss:0.006763+0.000052 test-mlogloss:1.082157+0.037334
## [287] train-mlogloss:0.006747+0.000052 test-mlogloss:1.083241+0.036824
## [288] train-mlogloss:0.006733+0.000052 test-mlogloss:1.084149+0.035396
## [289] train-mlogloss:0.006718+0.000051 test-mlogloss:1.084515+0.036046
## [290] train-mlogloss:0.006704+0.000047 test-mlogloss:1.084926+0.036399
## [291] train-mlogloss:0.006689+0.000048 test-mlogloss:1.085664+0.037074
## [292] train-mlogloss:0.006675+0.000048 test-mlogloss:1.085535+0.036883
## [293] train-mlogloss:0.006660+0.000049 test-mlogloss:1.085312+0.036937
## [294] train-mlogloss:0.006647+0.000048 test-mlogloss:1.085488+0.037585
## [295] train-mlogloss:0.006631+0.000049 test-mlogloss:1.085819+0.037561
## [296] train-mlogloss:0.006616+0.000047 test-mlogloss:1.086079+0.036610
## [297] train-mlogloss:0.006603+0.000048 test-mlogloss:1.086967+0.036204
## [298] train-mlogloss:0.006592+0.000049 test-mlogloss:1.086955+0.037136
## [299] train-mlogloss:0.006580+0.000047 test-mlogloss:1.087952+0.036976
## [300] train-mlogloss:0.006567+0.000047 test-mlogloss:1.088474+0.037584
## [301] train-mlogloss:0.006555+0.000045 test-mlogloss:1.088939+0.037075
## [302] train-mlogloss:0.006540+0.000046 test-mlogloss:1.088959+0.036766
## [303] train-mlogloss:0.006530+0.000046 test-mlogloss:1.089121+0.036586
## [304] train-mlogloss:0.006515+0.000047 test-mlogloss:1.087989+0.035423
## [305] train-mlogloss:0.006500+0.000048 test-mlogloss:1.088834+0.035587
## [306] train-mlogloss:0.006487+0.000050 test-mlogloss:1.089131+0.035572
## [307] train-mlogloss:0.006474+0.000049 test-mlogloss:1.090271+0.036150
## [308] train-mlogloss:0.006459+0.000046 test-mlogloss:1.090532+0.035923
## [309] train-mlogloss:0.006446+0.000045 test-mlogloss:1.090495+0.035746
## [310] train-mlogloss:0.006435+0.000041 test-mlogloss:1.090926+0.035674
## [311] train-mlogloss:0.006423+0.000044 test-mlogloss:1.091138+0.035427
## [312] train-mlogloss:0.006411+0.000045 test-mlogloss:1.091362+0.036053
## [313] train-mlogloss:0.006400+0.000044 test-mlogloss:1.091569+0.035869
## [314] train-mlogloss:0.006386+0.000044 test-mlogloss:1.092182+0.034393
## [315] train-mlogloss:0.006373+0.000041 test-mlogloss:1.093244+0.034551
## [316] train-mlogloss:0.006361+0.000040 test-mlogloss:1.094974+0.034875
## [317] train-mlogloss:0.006345+0.000040 test-mlogloss:1.094573+0.034810
## [318] train-mlogloss:0.006337+0.000041 test-mlogloss:1.094456+0.035174
## [319] train-mlogloss:0.006323+0.000042 test-mlogloss:1.094592+0.035296
## [320] train-mlogloss:0.006309+0.000043 test-mlogloss:1.095778+0.036037
## [321] train-mlogloss:0.006297+0.000043 test-mlogloss:1.095794+0.035928
## [322] train-mlogloss:0.006285+0.000043 test-mlogloss:1.095860+0.035640
## [323] train-mlogloss:0.006274+0.000043 test-mlogloss:1.096380+0.035555
## [324] train-mlogloss:0.006263+0.000043 test-mlogloss:1.097284+0.035847
## [325] train-mlogloss:0.006251+0.000041 test-mlogloss:1.097627+0.035493
## [326] train-mlogloss:0.006237+0.000039 test-mlogloss:1.097575+0.035240
## [327] train-mlogloss:0.006225+0.000039 test-mlogloss:1.097536+0.035875
## [328] train-mlogloss:0.006212+0.000041 test-mlogloss:1.097590+0.036028
## [329] train-mlogloss:0.006201+0.000040 test-mlogloss:1.098042+0.035962
## [330] train-mlogloss:0.006190+0.000041 test-mlogloss:1.099252+0.037104
## [331] train-mlogloss:0.006177+0.000040 test-mlogloss:1.099753+0.036610
## [332] train-mlogloss:0.006166+0.000042 test-mlogloss:1.099944+0.036381
## [333] train-mlogloss:0.006157+0.000042 test-mlogloss:1.099536+0.036851
## [334] train-mlogloss:0.006145+0.000043 test-mlogloss:1.099104+0.036345
## [335] train-mlogloss:0.006133+0.000040 test-mlogloss:1.099534+0.036623
## [336] train-mlogloss:0.006123+0.000040 test-mlogloss:1.100478+0.036118
## [337] train-mlogloss:0.006111+0.000038 test-mlogloss:1.101961+0.035749
## [338] train-mlogloss:0.006100+0.000038 test-mlogloss:1.101296+0.036561
## [339] train-mlogloss:0.006089+0.000039 test-mlogloss:1.101025+0.035675
## [340] train-mlogloss:0.006075+0.000038 test-mlogloss:1.101098+0.035244
## [341] train-mlogloss:0.006065+0.000037 test-mlogloss:1.101717+0.034649
## [342] train-mlogloss:0.006054+0.000039 test-mlogloss:1.101274+0.034585
## [343] train-mlogloss:0.006041+0.000040 test-mlogloss:1.101723+0.033996
## [344] train-mlogloss:0.006032+0.000040 test-mlogloss:1.102821+0.034170
## [345] train-mlogloss:0.006020+0.000039 test-mlogloss:1.103265+0.035339
## [346] train-mlogloss:0.006009+0.000041 test-mlogloss:1.102963+0.034899
## [347] train-mlogloss:0.005998+0.000042 test-mlogloss:1.102888+0.034491
## [348] train-mlogloss:0.005990+0.000043 test-mlogloss:1.104149+0.034402
## [349] train-mlogloss:0.005979+0.000042 test-mlogloss:1.103963+0.034984
## [350] train-mlogloss:0.005971+0.000044 test-mlogloss:1.104021+0.035110
## [351] train-mlogloss:0.005963+0.000042 test-mlogloss:1.104776+0.035498
## [352] train-mlogloss:0.005954+0.000040 test-mlogloss:1.105546+0.035887
## [353] train-mlogloss:0.005945+0.000040 test-mlogloss:1.104632+0.035785
## [354] train-mlogloss:0.005933+0.000042 test-mlogloss:1.104889+0.034685
## [355] train-mlogloss:0.005924+0.000039 test-mlogloss:1.105404+0.035882
## [356] train-mlogloss:0.005915+0.000041 test-mlogloss:1.105931+0.036303
## [357] train-mlogloss:0.005905+0.000038 test-mlogloss:1.106422+0.035940
## [358] train-mlogloss:0.005896+0.000035 test-mlogloss:1.105596+0.036267
## [359] train-mlogloss:0.005885+0.000037 test-mlogloss:1.106057+0.036456
## [360] train-mlogloss:0.005874+0.000037 test-mlogloss:1.107132+0.036386
## [361] train-mlogloss:0.005865+0.000038 test-mlogloss:1.106560+0.035997
## [362] train-mlogloss:0.005853+0.000039 test-mlogloss:1.106606+0.035516
## [363] train-mlogloss:0.005844+0.000042 test-mlogloss:1.107998+0.035611
## [364] train-mlogloss:0.005834+0.000039 test-mlogloss:1.107509+0.035513
## [365] train-mlogloss:0.005826+0.000039 test-mlogloss:1.107524+0.035067
## [366] train-mlogloss:0.005817+0.000038 test-mlogloss:1.108196+0.034810
## [367] train-mlogloss:0.005808+0.000037 test-mlogloss:1.108088+0.035257
## [368] train-mlogloss:0.005799+0.000040 test-mlogloss:1.107932+0.034898
## [369] train-mlogloss:0.005790+0.000040 test-mlogloss:1.108483+0.035600
## [370] train-mlogloss:0.005783+0.000040 test-mlogloss:1.108342+0.035802
## [371] train-mlogloss:0.005775+0.000040 test-mlogloss:1.109083+0.035093
## [372] train-mlogloss:0.005765+0.000039 test-mlogloss:1.109563+0.035269
## [373] train-mlogloss:0.005756+0.000038 test-mlogloss:1.110512+0.035530
## [374] train-mlogloss:0.005745+0.000038 test-mlogloss:1.109989+0.036382
## [375] train-mlogloss:0.005737+0.000039 test-mlogloss:1.110608+0.035634
## [376] train-mlogloss:0.005728+0.000038 test-mlogloss:1.110458+0.035752
## [377] train-mlogloss:0.005722+0.000037 test-mlogloss:1.110260+0.034287
## [378] train-mlogloss:0.005713+0.000038 test-mlogloss:1.110454+0.035455
## [379] train-mlogloss:0.005704+0.000040 test-mlogloss:1.110003+0.035918
## [380] train-mlogloss:0.005694+0.000040 test-mlogloss:1.110278+0.036069
## [381] train-mlogloss:0.005685+0.000040 test-mlogloss:1.111680+0.035444
## [382] train-mlogloss:0.005679+0.000041 test-mlogloss:1.111908+0.035295
## [383] train-mlogloss:0.005673+0.000041 test-mlogloss:1.111700+0.034979
## [384] train-mlogloss:0.005664+0.000043 test-mlogloss:1.111897+0.034984
## [385] train-mlogloss:0.005656+0.000041 test-mlogloss:1.112403+0.035236
## [386] train-mlogloss:0.005646+0.000042 test-mlogloss:1.113021+0.035586
## [387] train-mlogloss:0.005639+0.000044 test-mlogloss:1.111858+0.035615
## [388] train-mlogloss:0.005630+0.000044 test-mlogloss:1.111663+0.035423
## [389] train-mlogloss:0.005622+0.000045 test-mlogloss:1.113629+0.035939
## [390] train-mlogloss:0.005612+0.000043 test-mlogloss:1.113147+0.035598
## [391] train-mlogloss:0.005603+0.000042 test-mlogloss:1.113917+0.036351
## [392] train-mlogloss:0.005596+0.000041 test-mlogloss:1.113984+0.035594
## [393] train-mlogloss:0.005590+0.000043 test-mlogloss:1.114327+0.035659
## [394] train-mlogloss:0.005581+0.000042 test-mlogloss:1.114064+0.036113
## [395] train-mlogloss:0.005572+0.000044 test-mlogloss:1.113825+0.035912
## [396] train-mlogloss:0.005563+0.000044 test-mlogloss:1.114428+0.034968
## [397] train-mlogloss:0.005555+0.000042 test-mlogloss:1.115018+0.034887
## [398] train-mlogloss:0.005546+0.000041 test-mlogloss:1.115686+0.035547
## [399] train-mlogloss:0.005538+0.000040 test-mlogloss:1.115830+0.035970
## [400] train-mlogloss:0.005532+0.000041 test-mlogloss:1.116016+0.036436
## [401] train-mlogloss:0.005522+0.000042 test-mlogloss:1.116411+0.036467
## [402] train-mlogloss:0.005516+0.000040 test-mlogloss:1.116918+0.036816
## [403] train-mlogloss:0.005509+0.000040 test-mlogloss:1.116869+0.036319
## [404] train-mlogloss:0.005500+0.000041 test-mlogloss:1.117696+0.036339
## [405] train-mlogloss:0.005494+0.000041 test-mlogloss:1.117583+0.036396
## [406] train-mlogloss:0.005486+0.000040 test-mlogloss:1.117349+0.035871
## [407] train-mlogloss:0.005477+0.000038 test-mlogloss:1.117344+0.036473
## [408] train-mlogloss:0.005472+0.000039 test-mlogloss:1.118221+0.037268
## [409] train-mlogloss:0.005461+0.000038 test-mlogloss:1.118099+0.036823
## [410] train-mlogloss:0.005453+0.000036 test-mlogloss:1.118459+0.036456
## [411] train-mlogloss:0.005445+0.000036 test-mlogloss:1.118635+0.036180
## [412] train-mlogloss:0.005439+0.000035 test-mlogloss:1.118640+0.036511
## [413] train-mlogloss:0.005433+0.000035 test-mlogloss:1.118278+0.036186
## [414] train-mlogloss:0.005426+0.000038 test-mlogloss:1.118906+0.035001
## [415] train-mlogloss:0.005415+0.000034 test-mlogloss:1.119416+0.035488
## [416] train-mlogloss:0.005409+0.000034 test-mlogloss:1.119061+0.035590
## [417] train-mlogloss:0.005403+0.000034 test-mlogloss:1.119865+0.035244
## [418] train-mlogloss:0.005394+0.000033 test-mlogloss:1.119942+0.035455
## [419] train-mlogloss:0.005387+0.000034 test-mlogloss:1.120177+0.036315
## [420] train-mlogloss:0.005381+0.000033 test-mlogloss:1.121103+0.035280
## [421] train-mlogloss:0.005372+0.000034 test-mlogloss:1.120221+0.035344
## [422] train-mlogloss:0.005364+0.000035 test-mlogloss:1.120587+0.034976
## [423] train-mlogloss:0.005356+0.000033 test-mlogloss:1.121271+0.035337
## [424] train-mlogloss:0.005348+0.000032 test-mlogloss:1.121416+0.035145
## [425] train-mlogloss:0.005344+0.000033 test-mlogloss:1.121799+0.034409
## [426] train-mlogloss:0.005336+0.000032 test-mlogloss:1.121919+0.034513
## [427] train-mlogloss:0.005330+0.000033 test-mlogloss:1.121224+0.034888
## [428] train-mlogloss:0.005324+0.000033 test-mlogloss:1.121210+0.034785
## [429] train-mlogloss:0.005316+0.000032 test-mlogloss:1.120748+0.034578
## [430] train-mlogloss:0.005308+0.000029 test-mlogloss:1.120876+0.034483
## [431] train-mlogloss:0.005304+0.000030 test-mlogloss:1.120912+0.034930
## [432] train-mlogloss:0.005297+0.000030 test-mlogloss:1.122552+0.034994
## [433] train-mlogloss:0.005288+0.000030 test-mlogloss:1.122042+0.034439
## [434] train-mlogloss:0.005281+0.000031 test-mlogloss:1.121725+0.034563
## [435] train-mlogloss:0.005275+0.000030 test-mlogloss:1.121078+0.034201
## [436] train-mlogloss:0.005269+0.000029 test-mlogloss:1.121517+0.034580
## [437] train-mlogloss:0.005260+0.000027 test-mlogloss:1.122531+0.035003
## [438] train-mlogloss:0.005250+0.000027 test-mlogloss:1.122421+0.034442
## [439] train-mlogloss:0.005244+0.000025 test-mlogloss:1.122524+0.035341
## [440] train-mlogloss:0.005236+0.000027 test-mlogloss:1.121530+0.035113
## [441] train-mlogloss:0.005231+0.000027 test-mlogloss:1.121789+0.034227
## [442] train-mlogloss:0.005223+0.000028 test-mlogloss:1.122918+0.033800
## [443] train-mlogloss:0.005217+0.000027 test-mlogloss:1.123025+0.034989
## [444] train-mlogloss:0.005213+0.000026 test-mlogloss:1.123164+0.035149
## [445] train-mlogloss:0.005206+0.000026 test-mlogloss:1.122445+0.034898
## [446] train-mlogloss:0.005201+0.000027 test-mlogloss:1.122881+0.035263
## [447] train-mlogloss:0.005195+0.000026 test-mlogloss:1.123074+0.034116
## [448] train-mlogloss:0.005190+0.000026 test-mlogloss:1.123243+0.034593
## [449] train-mlogloss:0.005184+0.000027 test-mlogloss:1.124606+0.034837
## [450] train-mlogloss:0.005176+0.000026 test-mlogloss:1.124491+0.034989
## [451] train-mlogloss:0.005170+0.000026 test-mlogloss:1.124709+0.034946
## [452] train-mlogloss:0.005163+0.000028 test-mlogloss:1.125253+0.033631
## [453] train-mlogloss:0.005156+0.000028 test-mlogloss:1.125648+0.034100
## [454] train-mlogloss:0.005148+0.000029 test-mlogloss:1.125609+0.034687
## [455] train-mlogloss:0.005144+0.000027 test-mlogloss:1.125964+0.034803
## [456] train-mlogloss:0.005136+0.000027 test-mlogloss:1.126440+0.034416
## [457] train-mlogloss:0.005131+0.000026 test-mlogloss:1.126972+0.034536
## [458] train-mlogloss:0.005124+0.000024 test-mlogloss:1.127502+0.034751
## [459] train-mlogloss:0.005117+0.000025 test-mlogloss:1.127305+0.035470
## [460] train-mlogloss:0.005111+0.000025 test-mlogloss:1.127641+0.035031
## [461] train-mlogloss:0.005105+0.000024 test-mlogloss:1.127630+0.034715
## [462] train-mlogloss:0.005098+0.000023 test-mlogloss:1.128043+0.035305
## [463] train-mlogloss:0.005092+0.000023 test-mlogloss:1.128087+0.035701
## [464] train-mlogloss:0.005087+0.000022 test-mlogloss:1.127948+0.035657
## [465] train-mlogloss:0.005081+0.000021 test-mlogloss:1.127607+0.035521
## [466] train-mlogloss:0.005073+0.000022 test-mlogloss:1.128483+0.034868
## [467] train-mlogloss:0.005069+0.000023 test-mlogloss:1.129254+0.034527
## [468] train-mlogloss:0.005062+0.000022 test-mlogloss:1.129079+0.035014
## [469] train-mlogloss:0.005057+0.000023 test-mlogloss:1.129607+0.035300
## [470] train-mlogloss:0.005050+0.000022 test-mlogloss:1.130068+0.034913
## [471] train-mlogloss:0.005044+0.000022 test-mlogloss:1.129815+0.035223
## [472] train-mlogloss:0.005036+0.000022 test-mlogloss:1.129648+0.035305
## [473] train-mlogloss:0.005029+0.000020 test-mlogloss:1.129564+0.035159
## [474] train-mlogloss:0.005024+0.000022 test-mlogloss:1.129480+0.034396
## [475] train-mlogloss:0.005018+0.000020 test-mlogloss:1.129698+0.035455
## [476] train-mlogloss:0.005012+0.000021 test-mlogloss:1.129192+0.035321
## [477] train-mlogloss:0.005006+0.000019 test-mlogloss:1.129230+0.035681
## [478] train-mlogloss:0.005000+0.000020 test-mlogloss:1.128557+0.035088
## [479] train-mlogloss:0.004993+0.000019 test-mlogloss:1.129074+0.034585
## [480] train-mlogloss:0.004988+0.000019 test-mlogloss:1.129507+0.035596
## [481] train-mlogloss:0.004983+0.000017 test-mlogloss:1.129296+0.035670
## [482] train-mlogloss:0.004976+0.000016 test-mlogloss:1.129774+0.034878
## [483] train-mlogloss:0.004972+0.000016 test-mlogloss:1.130522+0.035026
## [484] train-mlogloss:0.004968+0.000016 test-mlogloss:1.130791+0.035241
## [485] train-mlogloss:0.004960+0.000019 test-mlogloss:1.129810+0.035294
## [486] train-mlogloss:0.004955+0.000017 test-mlogloss:1.129971+0.035809
## [487] train-mlogloss:0.004951+0.000017 test-mlogloss:1.130899+0.036066
## [488] train-mlogloss:0.004946+0.000018 test-mlogloss:1.131063+0.036149
## [489] train-mlogloss:0.004940+0.000018 test-mlogloss:1.131631+0.036838
## [490] train-mlogloss:0.004933+0.000019 test-mlogloss:1.131505+0.037178
## [491] train-mlogloss:0.004927+0.000019 test-mlogloss:1.132100+0.037352
## [492] train-mlogloss:0.004921+0.000020 test-mlogloss:1.133219+0.036901
## [493] train-mlogloss:0.004916+0.000020 test-mlogloss:1.133103+0.036697
## [494] train-mlogloss:0.004910+0.000020 test-mlogloss:1.132665+0.036962
## [495] train-mlogloss:0.004906+0.000019 test-mlogloss:1.132571+0.037418
## [496] train-mlogloss:0.004901+0.000019 test-mlogloss:1.132752+0.037644
## [497] train-mlogloss:0.004896+0.000019 test-mlogloss:1.132759+0.037363
## [498] train-mlogloss:0.004892+0.000021 test-mlogloss:1.132791+0.037831
## [499] train-mlogloss:0.004886+0.000021 test-mlogloss:1.133964+0.037001
## [500] train-mlogloss:0.004881+0.000021 test-mlogloss:1.133660+0.038236
## [1] train-mlogloss:0.525030+0.001957 test-mlogloss:0.550068+0.003877
## [2] train-mlogloss:0.506144+0.002330 test-mlogloss:0.545991+0.005724
## [3] train-mlogloss:0.496171+0.002786 test-mlogloss:0.546900+0.007641
## [4] train-mlogloss:0.486148+0.003100 test-mlogloss:0.553783+0.006893
## [5] train-mlogloss:0.476843+0.004042 test-mlogloss:0.558990+0.007627
## [6] train-mlogloss:0.467212+0.004823 test-mlogloss:0.563938+0.007195
## [7] train-mlogloss:0.460412+0.004516 test-mlogloss:0.570167+0.008255
## [8] train-mlogloss:0.451901+0.003243 test-mlogloss:0.576432+0.009939
## [9] train-mlogloss:0.443060+0.004739 test-mlogloss:0.583640+0.009161
## [10] train-mlogloss:0.435003+0.004899 test-mlogloss:0.589254+0.011678
## [11] train-mlogloss:0.426942+0.006117 test-mlogloss:0.597497+0.011953
## [12] train-mlogloss:0.420059+0.006002 test-mlogloss:0.602634+0.012628
## [13] train-mlogloss:0.413356+0.006811 test-mlogloss:0.606269+0.015048
## [14] train-mlogloss:0.404876+0.007958 test-mlogloss:0.611651+0.015827
## [15] train-mlogloss:0.398703+0.007077 test-mlogloss:0.617103+0.016102
## [16] train-mlogloss:0.391672+0.006977 test-mlogloss:0.621378+0.017110
## [17] train-mlogloss:0.384308+0.007318 test-mlogloss:0.628155+0.019011
## [18] train-mlogloss:0.377752+0.007112 test-mlogloss:0.632545+0.017104
## [19] train-mlogloss:0.370591+0.007255 test-mlogloss:0.640807+0.016060
## [20] train-mlogloss:0.364253+0.008452 test-mlogloss:0.644205+0.017276
## [21] train-mlogloss:0.358064+0.008622 test-mlogloss:0.646129+0.017957
## [22] train-mlogloss:0.353534+0.008848 test-mlogloss:0.646926+0.019030
## [23] train-mlogloss:0.347527+0.008799 test-mlogloss:0.652267+0.018902
## [24] train-mlogloss:0.341635+0.007910 test-mlogloss:0.656323+0.017894
## [25] train-mlogloss:0.336381+0.008152 test-mlogloss:0.663479+0.013129
## [26] train-mlogloss:0.330513+0.007666 test-mlogloss:0.668453+0.010207
## [27] train-mlogloss:0.324105+0.006744 test-mlogloss:0.672739+0.012823
## [28] train-mlogloss:0.318158+0.007014 test-mlogloss:0.672832+0.014164
## [29] train-mlogloss:0.312520+0.006565 test-mlogloss:0.679956+0.014280
## [30] train-mlogloss:0.307076+0.005911 test-mlogloss:0.685195+0.013475
## [31] train-mlogloss:0.301774+0.006140 test-mlogloss:0.689835+0.015304
## [32] train-mlogloss:0.296520+0.006719 test-mlogloss:0.693008+0.015949
## [33] train-mlogloss:0.290812+0.007151 test-mlogloss:0.697623+0.018443
## [34] train-mlogloss:0.285119+0.007028 test-mlogloss:0.702148+0.021378
## [35] train-mlogloss:0.280307+0.007190 test-mlogloss:0.705844+0.020521
## [36] train-mlogloss:0.276006+0.006811 test-mlogloss:0.710150+0.021169
## [37] train-mlogloss:0.271305+0.006240 test-mlogloss:0.712444+0.018898
## [38] train-mlogloss:0.267108+0.005636 test-mlogloss:0.717498+0.022511
## [39] train-mlogloss:0.262661+0.005427 test-mlogloss:0.722460+0.023849
## [40] train-mlogloss:0.258327+0.005084 test-mlogloss:0.726875+0.023447
## [41] train-mlogloss:0.254445+0.005149 test-mlogloss:0.727884+0.024909
## [42] train-mlogloss:0.249814+0.005473 test-mlogloss:0.732366+0.025372
## [43] train-mlogloss:0.245713+0.005897 test-mlogloss:0.735222+0.024969
## [44] train-mlogloss:0.242761+0.006158 test-mlogloss:0.737906+0.027077
## [45] train-mlogloss:0.238626+0.005568 test-mlogloss:0.743365+0.026674
## [46] train-mlogloss:0.233778+0.004915 test-mlogloss:0.746591+0.025791
## [47] train-mlogloss:0.229739+0.004170 test-mlogloss:0.749759+0.025668
## [48] train-mlogloss:0.225481+0.003616 test-mlogloss:0.757254+0.024586
## [49] train-mlogloss:0.221468+0.003583 test-mlogloss:0.760062+0.024102
## [50] train-mlogloss:0.217860+0.003786 test-mlogloss:0.764463+0.021112
## [51] train-mlogloss:0.214086+0.004031 test-mlogloss:0.768232+0.022282
## [52] train-mlogloss:0.210350+0.004550 test-mlogloss:0.771783+0.023014
## [53] train-mlogloss:0.207010+0.004838 test-mlogloss:0.772937+0.022250
## [54] train-mlogloss:0.203694+0.005189 test-mlogloss:0.775899+0.022387
## [55] train-mlogloss:0.199758+0.004726 test-mlogloss:0.778720+0.022399
## [56] train-mlogloss:0.196406+0.004749 test-mlogloss:0.781382+0.022494
## [57] train-mlogloss:0.192742+0.004213 test-mlogloss:0.783776+0.020673
## [58] train-mlogloss:0.189819+0.003858 test-mlogloss:0.788132+0.021550
## [59] train-mlogloss:0.186575+0.004147 test-mlogloss:0.789363+0.022094
## [60] train-mlogloss:0.183446+0.003487 test-mlogloss:0.792084+0.021419
## [61] train-mlogloss:0.180004+0.003338 test-mlogloss:0.797290+0.020250
## [62] train-mlogloss:0.176571+0.003187 test-mlogloss:0.800146+0.019419
## [63] train-mlogloss:0.172963+0.003061 test-mlogloss:0.805057+0.019421
## [64] train-mlogloss:0.170280+0.003351 test-mlogloss:0.808638+0.022323
## [65] train-mlogloss:0.167720+0.003284 test-mlogloss:0.810408+0.018971
## [66] train-mlogloss:0.165082+0.003033 test-mlogloss:0.813586+0.019154
## [67] train-mlogloss:0.162923+0.003171 test-mlogloss:0.815144+0.020355
## [68] train-mlogloss:0.159936+0.003065 test-mlogloss:0.818584+0.019048
## [69] train-mlogloss:0.157350+0.003114 test-mlogloss:0.822594+0.019612
## [70] train-mlogloss:0.154293+0.002780 test-mlogloss:0.825434+0.018384
## [71] train-mlogloss:0.151744+0.002611 test-mlogloss:0.828007+0.018782
## [72] train-mlogloss:0.148852+0.002285 test-mlogloss:0.827694+0.018852
## [73] train-mlogloss:0.146390+0.002410 test-mlogloss:0.831852+0.021221
## [74] train-mlogloss:0.144275+0.002784 test-mlogloss:0.832834+0.022543
## [75] train-mlogloss:0.142023+0.003246 test-mlogloss:0.836164+0.022734
## [76] train-mlogloss:0.139536+0.003147 test-mlogloss:0.839464+0.023917
## [77] train-mlogloss:0.137674+0.003311 test-mlogloss:0.843505+0.023640
## [78] train-mlogloss:0.135591+0.003415 test-mlogloss:0.844735+0.025280
## [79] train-mlogloss:0.133623+0.003695 test-mlogloss:0.846578+0.024015
## [80] train-mlogloss:0.131655+0.003266 test-mlogloss:0.848776+0.024538
## [81] train-mlogloss:0.129680+0.003153 test-mlogloss:0.853504+0.022956
## [82] train-mlogloss:0.127852+0.002950 test-mlogloss:0.854942+0.024421
## [83] train-mlogloss:0.125777+0.002381 test-mlogloss:0.856424+0.025196
## [84] train-mlogloss:0.123762+0.002113 test-mlogloss:0.859708+0.024781
## [85] train-mlogloss:0.122036+0.002084 test-mlogloss:0.860133+0.025850
## [86] train-mlogloss:0.120278+0.001798 test-mlogloss:0.862126+0.025247
## [87] train-mlogloss:0.118389+0.001735 test-mlogloss:0.864896+0.023632
## [88] train-mlogloss:0.116796+0.001593 test-mlogloss:0.866486+0.020879
## [89] train-mlogloss:0.115090+0.001285 test-mlogloss:0.870548+0.021522
## [90] train-mlogloss:0.113530+0.001478 test-mlogloss:0.872599+0.023957
## [91] train-mlogloss:0.112288+0.001639 test-mlogloss:0.873193+0.022261
## [92] train-mlogloss:0.110590+0.001589 test-mlogloss:0.875664+0.022257
## [93] train-mlogloss:0.108793+0.001675 test-mlogloss:0.879063+0.024692
## [94] train-mlogloss:0.107341+0.001843 test-mlogloss:0.880673+0.026027
## [95] train-mlogloss:0.105591+0.002095 test-mlogloss:0.884898+0.027592
## [96] train-mlogloss:0.103932+0.001980 test-mlogloss:0.885510+0.025513
## [97] train-mlogloss:0.102218+0.001832 test-mlogloss:0.886047+0.025783
## [98] train-mlogloss:0.100647+0.001719 test-mlogloss:0.889458+0.025297
## [99] train-mlogloss:0.098992+0.001690 test-mlogloss:0.890991+0.027010
## [100] train-mlogloss:0.097645+0.001603 test-mlogloss:0.894529+0.026600
## [101] train-mlogloss:0.096314+0.001592 test-mlogloss:0.895081+0.026950
## [102] train-mlogloss:0.094929+0.001696 test-mlogloss:0.898208+0.026831
## [103] train-mlogloss:0.093551+0.001803 test-mlogloss:0.900275+0.025837
## [104] train-mlogloss:0.092391+0.001901 test-mlogloss:0.904976+0.024640
## [105] train-mlogloss:0.091061+0.001832 test-mlogloss:0.904532+0.025252
## [106] train-mlogloss:0.089458+0.001879 test-mlogloss:0.907272+0.024291
## [107] train-mlogloss:0.088227+0.001626 test-mlogloss:0.907991+0.024720
## [108] train-mlogloss:0.087089+0.001851 test-mlogloss:0.911264+0.024217
## [109] train-mlogloss:0.085815+0.001898 test-mlogloss:0.913427+0.023499
## [110] train-mlogloss:0.084641+0.001834 test-mlogloss:0.914369+0.024675
## [111] train-mlogloss:0.083382+0.001768 test-mlogloss:0.915489+0.026297
## [112] train-mlogloss:0.082231+0.001737 test-mlogloss:0.916463+0.027351
## [113] train-mlogloss:0.081041+0.001672 test-mlogloss:0.919560+0.028440
## [114] train-mlogloss:0.080116+0.001363 test-mlogloss:0.923344+0.028882
## [115] train-mlogloss:0.078902+0.001399 test-mlogloss:0.923215+0.029581
## [116] train-mlogloss:0.077678+0.001354 test-mlogloss:0.924726+0.030789
## [117] train-mlogloss:0.076491+0.001303 test-mlogloss:0.929290+0.028332
## [118] train-mlogloss:0.075423+0.001334 test-mlogloss:0.931096+0.028898
## [119] train-mlogloss:0.074451+0.001432 test-mlogloss:0.934449+0.030819
## [120] train-mlogloss:0.073399+0.001667 test-mlogloss:0.937847+0.032428
## [121] train-mlogloss:0.072365+0.001740 test-mlogloss:0.941062+0.032059
## [122] train-mlogloss:0.071444+0.001551 test-mlogloss:0.942296+0.031569
## [123] train-mlogloss:0.070509+0.001716 test-mlogloss:0.944146+0.032231
## [124] train-mlogloss:0.069601+0.001625 test-mlogloss:0.945292+0.033480
## [125] train-mlogloss:0.068566+0.001654 test-mlogloss:0.947382+0.033598
## [126] train-mlogloss:0.067690+0.001698 test-mlogloss:0.948332+0.033440
## [127] train-mlogloss:0.066819+0.001657 test-mlogloss:0.949232+0.034340
## [128] train-mlogloss:0.065823+0.001704 test-mlogloss:0.952563+0.033579
## [129] train-mlogloss:0.065015+0.001784 test-mlogloss:0.955582+0.033698
## [130] train-mlogloss:0.064333+0.001824 test-mlogloss:0.954415+0.034044
## [131] train-mlogloss:0.063499+0.001738 test-mlogloss:0.956484+0.033326
## [132] train-mlogloss:0.062701+0.001693 test-mlogloss:0.958242+0.032204
## [133] train-mlogloss:0.061921+0.001565 test-mlogloss:0.959004+0.030948
## [134] train-mlogloss:0.061109+0.001380 test-mlogloss:0.961983+0.030454
## [135] train-mlogloss:0.060118+0.001284 test-mlogloss:0.964242+0.029190
## [136] train-mlogloss:0.059418+0.001360 test-mlogloss:0.968602+0.030671
## [137] train-mlogloss:0.058565+0.001334 test-mlogloss:0.969455+0.029257
## [138] train-mlogloss:0.057703+0.001401 test-mlogloss:0.974132+0.030869
## [139] train-mlogloss:0.057025+0.001298 test-mlogloss:0.974804+0.031692
## [140] train-mlogloss:0.056449+0.001328 test-mlogloss:0.977026+0.033158
## [141] train-mlogloss:0.055772+0.001290 test-mlogloss:0.979109+0.032354
## [142] train-mlogloss:0.055136+0.001271 test-mlogloss:0.981167+0.031549
## [143] train-mlogloss:0.054369+0.001274 test-mlogloss:0.985342+0.031378
## [144] train-mlogloss:0.053689+0.001289 test-mlogloss:0.987133+0.031422
## [145] train-mlogloss:0.053108+0.001288 test-mlogloss:0.988623+0.032162
## [146] train-mlogloss:0.052446+0.001388 test-mlogloss:0.990675+0.031375
## [147] train-mlogloss:0.051883+0.001381 test-mlogloss:0.991672+0.029923
## [148] train-mlogloss:0.051304+0.001315 test-mlogloss:0.993112+0.031047
## [149] train-mlogloss:0.050770+0.001252 test-mlogloss:0.993690+0.029668
## [150] train-mlogloss:0.050202+0.001295 test-mlogloss:0.994749+0.030718
## [151] train-mlogloss:0.049578+0.001306 test-mlogloss:0.997142+0.030815
## [152] train-mlogloss:0.049048+0.001303 test-mlogloss:0.999734+0.029220
## [153] train-mlogloss:0.048469+0.001304 test-mlogloss:1.000612+0.028890
## [154] train-mlogloss:0.047826+0.001292 test-mlogloss:1.002356+0.027283
## [155] train-mlogloss:0.047323+0.001297 test-mlogloss:1.003066+0.027462
## [156] train-mlogloss:0.046804+0.001228 test-mlogloss:1.004902+0.027117
## [157] train-mlogloss:0.046334+0.001238 test-mlogloss:1.005469+0.027016
## [158] train-mlogloss:0.045749+0.001202 test-mlogloss:1.007182+0.027070
## [159] train-mlogloss:0.045129+0.001182 test-mlogloss:1.009176+0.028808
## [160] train-mlogloss:0.044619+0.001085 test-mlogloss:1.009604+0.029741
## [161] train-mlogloss:0.044190+0.001105 test-mlogloss:1.010678+0.031314
## [162] train-mlogloss:0.043753+0.001025 test-mlogloss:1.010543+0.033094
## [163] train-mlogloss:0.043355+0.000974 test-mlogloss:1.012844+0.032099
## [164] train-mlogloss:0.042848+0.000999 test-mlogloss:1.015211+0.032644
## [165] train-mlogloss:0.042420+0.000976 test-mlogloss:1.017124+0.031891
## [166] train-mlogloss:0.041961+0.000946 test-mlogloss:1.019825+0.032414
## [167] train-mlogloss:0.041573+0.000920 test-mlogloss:1.020929+0.031576
## [168] train-mlogloss:0.041048+0.000856 test-mlogloss:1.023716+0.030056
## [169] train-mlogloss:0.040717+0.000922 test-mlogloss:1.024620+0.030930
## [170] train-mlogloss:0.040352+0.000892 test-mlogloss:1.026002+0.032257
## [171] train-mlogloss:0.039937+0.000895 test-mlogloss:1.026958+0.031836
## [172] train-mlogloss:0.039541+0.000798 test-mlogloss:1.027897+0.030600
## [173] train-mlogloss:0.039137+0.000778 test-mlogloss:1.029444+0.028481
## [174] train-mlogloss:0.038746+0.000805 test-mlogloss:1.030352+0.028996
## [175] train-mlogloss:0.038406+0.000890 test-mlogloss:1.032813+0.029559
## [176] train-mlogloss:0.038004+0.000844 test-mlogloss:1.035434+0.030092
## [177] train-mlogloss:0.037634+0.000840 test-mlogloss:1.038060+0.032435
## [178] train-mlogloss:0.037303+0.000848 test-mlogloss:1.040604+0.032226
## [179] train-mlogloss:0.036947+0.000774 test-mlogloss:1.042984+0.032247
## [180] train-mlogloss:0.036526+0.000735 test-mlogloss:1.046152+0.033719
## [181] train-mlogloss:0.036231+0.000726 test-mlogloss:1.046944+0.033004
## [182] train-mlogloss:0.035945+0.000760 test-mlogloss:1.044519+0.032447
## [183] train-mlogloss:0.035591+0.000823 test-mlogloss:1.045714+0.031864
## [184] train-mlogloss:0.035237+0.000798 test-mlogloss:1.047045+0.031945
## [185] train-mlogloss:0.034931+0.000696 test-mlogloss:1.047291+0.032179
## [186] train-mlogloss:0.034609+0.000724 test-mlogloss:1.049360+0.032154
## [187] train-mlogloss:0.034338+0.000744 test-mlogloss:1.049529+0.031263
## [188] train-mlogloss:0.034012+0.000735 test-mlogloss:1.051218+0.029976
## [189] train-mlogloss:0.033700+0.000650 test-mlogloss:1.050612+0.030530
## [190] train-mlogloss:0.033428+0.000649 test-mlogloss:1.053343+0.030359
## [191] train-mlogloss:0.033132+0.000685 test-mlogloss:1.054092+0.030904
## [192] train-mlogloss:0.032870+0.000630 test-mlogloss:1.054036+0.030139
## [193] train-mlogloss:0.032585+0.000608 test-mlogloss:1.056219+0.031095
## [194] train-mlogloss:0.032319+0.000632 test-mlogloss:1.057130+0.031303
## [195] train-mlogloss:0.031990+0.000645 test-mlogloss:1.056640+0.032676
## [196] train-mlogloss:0.031658+0.000649 test-mlogloss:1.059477+0.031555
## [197] train-mlogloss:0.031368+0.000692 test-mlogloss:1.060244+0.029388
## [198] train-mlogloss:0.031039+0.000716 test-mlogloss:1.060498+0.028990
## [199] train-mlogloss:0.030809+0.000743 test-mlogloss:1.061302+0.028335
## [200] train-mlogloss:0.030464+0.000741 test-mlogloss:1.062812+0.029023
## [201] train-mlogloss:0.030207+0.000739 test-mlogloss:1.065367+0.028649
## [202] train-mlogloss:0.029881+0.000753 test-mlogloss:1.067814+0.027937
## [203] train-mlogloss:0.029653+0.000723 test-mlogloss:1.067504+0.028686
## [204] train-mlogloss:0.029381+0.000707 test-mlogloss:1.067722+0.027443
## [205] train-mlogloss:0.029102+0.000696 test-mlogloss:1.069250+0.027766
## [206] train-mlogloss:0.028833+0.000714 test-mlogloss:1.069626+0.028044
## [207] train-mlogloss:0.028574+0.000682 test-mlogloss:1.070596+0.027669
## [208] train-mlogloss:0.028379+0.000647 test-mlogloss:1.074436+0.026223
## [209] train-mlogloss:0.028143+0.000673 test-mlogloss:1.074728+0.025190
## [210] train-mlogloss:0.027927+0.000684 test-mlogloss:1.074512+0.026283
## [211] train-mlogloss:0.027658+0.000704 test-mlogloss:1.075089+0.026729
## [212] train-mlogloss:0.027377+0.000672 test-mlogloss:1.077967+0.027873
## [213] train-mlogloss:0.027154+0.000657 test-mlogloss:1.079260+0.027864
## [214] train-mlogloss:0.026928+0.000676 test-mlogloss:1.081404+0.028112
## [215] train-mlogloss:0.026712+0.000689 test-mlogloss:1.083449+0.028824
## [216] train-mlogloss:0.026498+0.000570 test-mlogloss:1.084300+0.028502
## [217] train-mlogloss:0.026270+0.000568 test-mlogloss:1.086287+0.026142
## [218] train-mlogloss:0.026066+0.000572 test-mlogloss:1.086980+0.027015
## [219] train-mlogloss:0.025862+0.000552 test-mlogloss:1.087853+0.027291
## [220] train-mlogloss:0.025659+0.000550 test-mlogloss:1.089283+0.029372
## [221] train-mlogloss:0.025443+0.000601 test-mlogloss:1.088891+0.029241
## [222] train-mlogloss:0.025255+0.000577 test-mlogloss:1.090701+0.029259
## [223] train-mlogloss:0.025086+0.000591 test-mlogloss:1.090759+0.028585
## [224] train-mlogloss:0.024918+0.000540 test-mlogloss:1.092020+0.028654
## [225] train-mlogloss:0.024750+0.000562 test-mlogloss:1.093060+0.026812
## [226] train-mlogloss:0.024574+0.000551 test-mlogloss:1.094880+0.028264
## [227] train-mlogloss:0.024395+0.000524 test-mlogloss:1.094222+0.028909
## [228] train-mlogloss:0.024210+0.000518 test-mlogloss:1.095719+0.028375
## [229] train-mlogloss:0.024008+0.000554 test-mlogloss:1.096678+0.028858
## [230] train-mlogloss:0.023863+0.000561 test-mlogloss:1.097869+0.028250
## [231] train-mlogloss:0.023710+0.000566 test-mlogloss:1.100145+0.029500
## [232] train-mlogloss:0.023551+0.000579 test-mlogloss:1.101209+0.030846
## [233] train-mlogloss:0.023370+0.000582 test-mlogloss:1.102415+0.031862
## [234] train-mlogloss:0.023214+0.000617 test-mlogloss:1.104675+0.031768
## [235] train-mlogloss:0.023006+0.000604 test-mlogloss:1.104675+0.029249
## [236] train-mlogloss:0.022854+0.000601 test-mlogloss:1.105947+0.029493
## [237] train-mlogloss:0.022661+0.000576 test-mlogloss:1.105561+0.029720
## [238] train-mlogloss:0.022528+0.000600 test-mlogloss:1.105395+0.029581
## [239] train-mlogloss:0.022349+0.000612 test-mlogloss:1.106479+0.028413
## [240] train-mlogloss:0.022163+0.000598 test-mlogloss:1.108274+0.028618
## [241] train-mlogloss:0.022016+0.000595 test-mlogloss:1.109742+0.027061
## [242] train-mlogloss:0.021892+0.000566 test-mlogloss:1.109331+0.027238
## [243] train-mlogloss:0.021722+0.000546 test-mlogloss:1.111362+0.027778
## [244] train-mlogloss:0.021575+0.000540 test-mlogloss:1.111079+0.028062
## [245] train-mlogloss:0.021426+0.000541 test-mlogloss:1.113594+0.028433
## [246] train-mlogloss:0.021277+0.000552 test-mlogloss:1.114849+0.029669
## [247] train-mlogloss:0.021113+0.000550 test-mlogloss:1.115967+0.029080
## [248] train-mlogloss:0.020962+0.000600 test-mlogloss:1.117476+0.029507
## [249] train-mlogloss:0.020799+0.000582 test-mlogloss:1.118790+0.028921
## [250] train-mlogloss:0.020658+0.000576 test-mlogloss:1.119284+0.028976
## [251] train-mlogloss:0.020534+0.000572 test-mlogloss:1.119618+0.029891
## [252] train-mlogloss:0.020420+0.000607 test-mlogloss:1.120603+0.028177
## [253] train-mlogloss:0.020282+0.000569 test-mlogloss:1.121241+0.027811
## [254] train-mlogloss:0.020168+0.000567 test-mlogloss:1.123164+0.028370
## [255] train-mlogloss:0.020014+0.000576 test-mlogloss:1.123369+0.029046
## [256] train-mlogloss:0.019882+0.000541 test-mlogloss:1.124734+0.030414
## [257] train-mlogloss:0.019794+0.000550 test-mlogloss:1.126073+0.029885
## [258] train-mlogloss:0.019652+0.000536 test-mlogloss:1.128074+0.030153
## [259] train-mlogloss:0.019509+0.000512 test-mlogloss:1.130160+0.031578
## [260] train-mlogloss:0.019381+0.000500 test-mlogloss:1.131377+0.032249
## [261] train-mlogloss:0.019265+0.000507 test-mlogloss:1.132640+0.031748
## [262] train-mlogloss:0.019132+0.000525 test-mlogloss:1.133170+0.032521
## [263] train-mlogloss:0.019029+0.000522 test-mlogloss:1.133155+0.031668
## [264] train-mlogloss:0.018934+0.000508 test-mlogloss:1.133615+0.032170
## [265] train-mlogloss:0.018818+0.000507 test-mlogloss:1.134580+0.031550
## [266] train-mlogloss:0.018715+0.000521 test-mlogloss:1.136415+0.031734
## [267] train-mlogloss:0.018596+0.000500 test-mlogloss:1.136422+0.032010
## [268] train-mlogloss:0.018492+0.000523 test-mlogloss:1.138253+0.032674
## [269] train-mlogloss:0.018402+0.000525 test-mlogloss:1.140237+0.033729
## [270] train-mlogloss:0.018288+0.000489 test-mlogloss:1.140497+0.032217
## [271] train-mlogloss:0.018168+0.000456 test-mlogloss:1.141110+0.032945
## [272] train-mlogloss:0.018056+0.000460 test-mlogloss:1.143258+0.032159
## [273] train-mlogloss:0.017961+0.000474 test-mlogloss:1.144395+0.033592
## [274] train-mlogloss:0.017857+0.000451 test-mlogloss:1.143322+0.032858
## [275] train-mlogloss:0.017747+0.000415 test-mlogloss:1.143218+0.032627
## [276] train-mlogloss:0.017652+0.000398 test-mlogloss:1.144165+0.032914
## [277] train-mlogloss:0.017544+0.000418 test-mlogloss:1.144663+0.033718
## [278] train-mlogloss:0.017421+0.000430 test-mlogloss:1.146398+0.034297
## [279] train-mlogloss:0.017303+0.000413 test-mlogloss:1.147398+0.034697
## [280] train-mlogloss:0.017195+0.000399 test-mlogloss:1.148402+0.034546
## [281] train-mlogloss:0.017118+0.000414 test-mlogloss:1.147381+0.034538
## [282] train-mlogloss:0.017041+0.000418 test-mlogloss:1.148201+0.033710
## [283] train-mlogloss:0.016951+0.000408 test-mlogloss:1.148884+0.033273
## [284] train-mlogloss:0.016854+0.000406 test-mlogloss:1.150007+0.032598
## [285] train-mlogloss:0.016780+0.000400 test-mlogloss:1.150859+0.032458
## [286] train-mlogloss:0.016694+0.000377 test-mlogloss:1.151535+0.033058
## [287] train-mlogloss:0.016578+0.000358 test-mlogloss:1.151423+0.033589
## [288] train-mlogloss:0.016462+0.000386 test-mlogloss:1.153334+0.033378
## [289] train-mlogloss:0.016384+0.000371 test-mlogloss:1.154477+0.033267
## [290] train-mlogloss:0.016296+0.000362 test-mlogloss:1.155566+0.033924
## [291] train-mlogloss:0.016212+0.000350 test-mlogloss:1.154998+0.033905
## [292] train-mlogloss:0.016119+0.000365 test-mlogloss:1.156143+0.034716
## [293] train-mlogloss:0.016036+0.000360 test-mlogloss:1.157074+0.035238
## [294] train-mlogloss:0.015957+0.000352 test-mlogloss:1.158075+0.033588
## [295] train-mlogloss:0.015874+0.000356 test-mlogloss:1.158188+0.035456
## [296] train-mlogloss:0.015791+0.000357 test-mlogloss:1.157712+0.034776
## [297] train-mlogloss:0.015704+0.000354 test-mlogloss:1.157912+0.035471
## [298] train-mlogloss:0.015627+0.000367 test-mlogloss:1.158258+0.035708
## [299] train-mlogloss:0.015537+0.000352 test-mlogloss:1.159485+0.035282
## [300] train-mlogloss:0.015444+0.000342 test-mlogloss:1.160115+0.036527
## [301] train-mlogloss:0.015370+0.000332 test-mlogloss:1.162503+0.037067
## [302] train-mlogloss:0.015283+0.000331 test-mlogloss:1.163392+0.036209
## [303] train-mlogloss:0.015192+0.000321 test-mlogloss:1.164364+0.035620
## [304] train-mlogloss:0.015125+0.000328 test-mlogloss:1.164675+0.035040
## [305] train-mlogloss:0.015046+0.000322 test-mlogloss:1.166606+0.034680
## [306] train-mlogloss:0.014978+0.000324 test-mlogloss:1.166739+0.034133
## [307] train-mlogloss:0.014913+0.000329 test-mlogloss:1.168398+0.034918
## [308] train-mlogloss:0.014828+0.000325 test-mlogloss:1.168977+0.034285
## [309] train-mlogloss:0.014760+0.000321 test-mlogloss:1.169399+0.035264
## [310] train-mlogloss:0.014690+0.000319 test-mlogloss:1.171651+0.034710
## [311] train-mlogloss:0.014622+0.000329 test-mlogloss:1.171916+0.034744
## [312] train-mlogloss:0.014545+0.000334 test-mlogloss:1.172703+0.034801
## [313] train-mlogloss:0.014475+0.000325 test-mlogloss:1.172942+0.036029
## [314] train-mlogloss:0.014407+0.000324 test-mlogloss:1.172890+0.036782
## [315] train-mlogloss:0.014339+0.000327 test-mlogloss:1.172639+0.034808
## [316] train-mlogloss:0.014267+0.000320 test-mlogloss:1.173998+0.036220
## [317] train-mlogloss:0.014197+0.000307 test-mlogloss:1.174609+0.035983
## [318] train-mlogloss:0.014148+0.000305 test-mlogloss:1.176207+0.035888
## [319] train-mlogloss:0.014077+0.000293 test-mlogloss:1.176260+0.034706
## [320] train-mlogloss:0.014027+0.000273 test-mlogloss:1.177820+0.034746
## [321] train-mlogloss:0.013974+0.000258 test-mlogloss:1.179408+0.035454
## [322] train-mlogloss:0.013889+0.000233 test-mlogloss:1.181325+0.033745
## [323] train-mlogloss:0.013813+0.000239 test-mlogloss:1.181894+0.034838
## [324] train-mlogloss:0.013749+0.000213 test-mlogloss:1.183607+0.035080
## [325] train-mlogloss:0.013696+0.000215 test-mlogloss:1.183399+0.035425
## [326] train-mlogloss:0.013645+0.000207 test-mlogloss:1.184712+0.034246
## [327] train-mlogloss:0.013576+0.000200 test-mlogloss:1.184205+0.034547
## [328] train-mlogloss:0.013518+0.000195 test-mlogloss:1.185188+0.034933
## [329] train-mlogloss:0.013449+0.000195 test-mlogloss:1.185260+0.034821
## [330] train-mlogloss:0.013392+0.000204 test-mlogloss:1.185888+0.035421
## [331] train-mlogloss:0.013326+0.000221 test-mlogloss:1.187134+0.034003
## [332] train-mlogloss:0.013277+0.000218 test-mlogloss:1.187943+0.036240
## [333] train-mlogloss:0.013213+0.000208 test-mlogloss:1.189332+0.036534
## [334] train-mlogloss:0.013151+0.000213 test-mlogloss:1.190749+0.036498
## [335] train-mlogloss:0.013100+0.000200 test-mlogloss:1.192390+0.036798
## [336] train-mlogloss:0.013026+0.000207 test-mlogloss:1.192548+0.036417
## [337] train-mlogloss:0.012953+0.000221 test-mlogloss:1.194183+0.036886
## [338] train-mlogloss:0.012903+0.000215 test-mlogloss:1.194777+0.036984
## [339] train-mlogloss:0.012850+0.000212 test-mlogloss:1.195771+0.037233
## [340] train-mlogloss:0.012782+0.000193 test-mlogloss:1.198181+0.038029
## [341] train-mlogloss:0.012738+0.000185 test-mlogloss:1.198544+0.038804
## [342] train-mlogloss:0.012679+0.000171 test-mlogloss:1.198800+0.037478
## [343] train-mlogloss:0.012634+0.000168 test-mlogloss:1.198705+0.037220
## [344] train-mlogloss:0.012575+0.000171 test-mlogloss:1.199734+0.036531
## [345] train-mlogloss:0.012523+0.000166 test-mlogloss:1.200298+0.037373
## [346] train-mlogloss:0.012476+0.000167 test-mlogloss:1.200623+0.037229
## [347] train-mlogloss:0.012420+0.000167 test-mlogloss:1.200287+0.037529
## [348] train-mlogloss:0.012375+0.000169 test-mlogloss:1.201420+0.037177
## [349] train-mlogloss:0.012319+0.000172 test-mlogloss:1.201752+0.037001
## [350] train-mlogloss:0.012266+0.000171 test-mlogloss:1.201938+0.037649
## [351] train-mlogloss:0.012192+0.000167 test-mlogloss:1.202085+0.036925
## [352] train-mlogloss:0.012161+0.000177 test-mlogloss:1.203027+0.037253
## [353] train-mlogloss:0.012125+0.000175 test-mlogloss:1.204495+0.036360
## [354] train-mlogloss:0.012087+0.000175 test-mlogloss:1.205980+0.036773
## [355] train-mlogloss:0.012040+0.000170 test-mlogloss:1.206261+0.037315
## [356] train-mlogloss:0.011990+0.000172 test-mlogloss:1.206333+0.036799
## [357] train-mlogloss:0.011945+0.000184 test-mlogloss:1.206919+0.035676
## [358] train-mlogloss:0.011891+0.000179 test-mlogloss:1.207882+0.036394
## [359] train-mlogloss:0.011826+0.000165 test-mlogloss:1.208885+0.035020
## [360] train-mlogloss:0.011784+0.000165 test-mlogloss:1.208625+0.035798
## [361] train-mlogloss:0.011739+0.000158 test-mlogloss:1.208586+0.035827
## [362] train-mlogloss:0.011691+0.000146 test-mlogloss:1.208542+0.035512
## [363] train-mlogloss:0.011639+0.000148 test-mlogloss:1.208989+0.035004
## [364] train-mlogloss:0.011596+0.000147 test-mlogloss:1.209596+0.035123
## [365] train-mlogloss:0.011553+0.000144 test-mlogloss:1.209070+0.035477
## [366] train-mlogloss:0.011513+0.000143 test-mlogloss:1.209953+0.035920
## [367] train-mlogloss:0.011462+0.000134 test-mlogloss:1.211600+0.035523
## [368] train-mlogloss:0.011424+0.000124 test-mlogloss:1.212390+0.034151
## [369] train-mlogloss:0.011374+0.000123 test-mlogloss:1.213675+0.034007
## [370] train-mlogloss:0.011332+0.000122 test-mlogloss:1.214299+0.033379
## [371] train-mlogloss:0.011303+0.000123 test-mlogloss:1.214869+0.035015
## [372] train-mlogloss:0.011249+0.000122 test-mlogloss:1.215765+0.033097
## [373] train-mlogloss:0.011207+0.000118 test-mlogloss:1.215558+0.033691
## [374] train-mlogloss:0.011153+0.000108 test-mlogloss:1.216465+0.033773
## [375] train-mlogloss:0.011125+0.000112 test-mlogloss:1.217122+0.033417
## [376] train-mlogloss:0.011087+0.000125 test-mlogloss:1.218279+0.034748
## [377] train-mlogloss:0.011048+0.000116 test-mlogloss:1.219640+0.033847
## [378] train-mlogloss:0.011014+0.000114 test-mlogloss:1.219702+0.034765
## [379] train-mlogloss:0.010965+0.000115 test-mlogloss:1.220091+0.033920
## [380] train-mlogloss:0.010918+0.000118 test-mlogloss:1.221354+0.033766
## [381] train-mlogloss:0.010868+0.000129 test-mlogloss:1.222329+0.034511
## [382] train-mlogloss:0.010819+0.000121 test-mlogloss:1.222620+0.033204
## [383] train-mlogloss:0.010767+0.000123 test-mlogloss:1.224411+0.033039
## [384] train-mlogloss:0.010734+0.000125 test-mlogloss:1.225028+0.032808
## [385] train-mlogloss:0.010686+0.000120 test-mlogloss:1.226676+0.032091
## [386] train-mlogloss:0.010650+0.000108 test-mlogloss:1.227087+0.031387
## [387] train-mlogloss:0.010608+0.000103 test-mlogloss:1.228534+0.031938
## [388] train-mlogloss:0.010571+0.000113 test-mlogloss:1.230998+0.030385
## [389] train-mlogloss:0.010531+0.000101 test-mlogloss:1.230994+0.030561
## [390] train-mlogloss:0.010502+0.000113 test-mlogloss:1.230441+0.030366
## [391] train-mlogloss:0.010457+0.000117 test-mlogloss:1.231065+0.031398
## [392] train-mlogloss:0.010418+0.000116 test-mlogloss:1.230671+0.031903
## [393] train-mlogloss:0.010380+0.000109 test-mlogloss:1.230547+0.031832
## [394] train-mlogloss:0.010348+0.000103 test-mlogloss:1.230693+0.032671
## [395] train-mlogloss:0.010317+0.000101 test-mlogloss:1.232183+0.032588
## [396] train-mlogloss:0.010287+0.000106 test-mlogloss:1.232593+0.031514
## [397] train-mlogloss:0.010256+0.000105 test-mlogloss:1.233523+0.031364
## [398] train-mlogloss:0.010215+0.000109 test-mlogloss:1.233755+0.030366
## [399] train-mlogloss:0.010179+0.000093 test-mlogloss:1.233237+0.030944
## [400] train-mlogloss:0.010146+0.000088 test-mlogloss:1.232604+0.030634
## [401] train-mlogloss:0.010116+0.000093 test-mlogloss:1.233325+0.030857
## [402] train-mlogloss:0.010089+0.000094 test-mlogloss:1.233864+0.031333
## [403] train-mlogloss:0.010056+0.000083 test-mlogloss:1.235015+0.030981
## [404] train-mlogloss:0.010020+0.000090 test-mlogloss:1.235769+0.029951
## [405] train-mlogloss:0.009991+0.000086 test-mlogloss:1.236970+0.030815
## [406] train-mlogloss:0.009940+0.000079 test-mlogloss:1.237064+0.031056
## [407] train-mlogloss:0.009906+0.000075 test-mlogloss:1.238201+0.031563
## [408] train-mlogloss:0.009869+0.000080 test-mlogloss:1.238676+0.031788
## [409] train-mlogloss:0.009845+0.000078 test-mlogloss:1.238940+0.031548
## [410] train-mlogloss:0.009818+0.000073 test-mlogloss:1.239563+0.031675
## [411] train-mlogloss:0.009797+0.000074 test-mlogloss:1.239177+0.032161
## [412] train-mlogloss:0.009765+0.000080 test-mlogloss:1.240192+0.032009
## [413] train-mlogloss:0.009732+0.000073 test-mlogloss:1.241905+0.032108
## [414] train-mlogloss:0.009698+0.000073 test-mlogloss:1.242147+0.031901
## [415] train-mlogloss:0.009666+0.000083 test-mlogloss:1.241722+0.031671
## [416] train-mlogloss:0.009632+0.000084 test-mlogloss:1.242416+0.031300
## [417] train-mlogloss:0.009599+0.000082 test-mlogloss:1.244024+0.031474
## [418] train-mlogloss:0.009572+0.000080 test-mlogloss:1.243582+0.030641
## [419] train-mlogloss:0.009539+0.000090 test-mlogloss:1.244271+0.030438
## [420] train-mlogloss:0.009509+0.000097 test-mlogloss:1.244830+0.030211
## [421] train-mlogloss:0.009474+0.000090 test-mlogloss:1.245862+0.030814
## [422] train-mlogloss:0.009449+0.000101 test-mlogloss:1.246693+0.031044
## [423] train-mlogloss:0.009414+0.000111 test-mlogloss:1.246134+0.031674
## [424] train-mlogloss:0.009386+0.000110 test-mlogloss:1.247338+0.031862
## [425] train-mlogloss:0.009358+0.000100 test-mlogloss:1.249229+0.031552
## [426] train-mlogloss:0.009325+0.000097 test-mlogloss:1.248993+0.031110
## [427] train-mlogloss:0.009302+0.000105 test-mlogloss:1.249900+0.030953
## [428] train-mlogloss:0.009274+0.000100 test-mlogloss:1.250512+0.030603
## [429] train-mlogloss:0.009246+0.000094 test-mlogloss:1.250560+0.030260
## [430] train-mlogloss:0.009217+0.000086 test-mlogloss:1.251474+0.029452
## [431] train-mlogloss:0.009196+0.000088 test-mlogloss:1.251308+0.030074
## [432] train-mlogloss:0.009158+0.000092 test-mlogloss:1.250836+0.030681
## [433] train-mlogloss:0.009126+0.000098 test-mlogloss:1.251357+0.030538
## [434] train-mlogloss:0.009100+0.000099 test-mlogloss:1.251622+0.031582
## [435] train-mlogloss:0.009076+0.000097 test-mlogloss:1.252833+0.032395
## [436] train-mlogloss:0.009048+0.000101 test-mlogloss:1.251529+0.032372
## [437] train-mlogloss:0.009029+0.000100 test-mlogloss:1.251947+0.032086
## [438] train-mlogloss:0.008997+0.000102 test-mlogloss:1.253090+0.031195
## [439] train-mlogloss:0.008970+0.000097 test-mlogloss:1.254636+0.032059
## [440] train-mlogloss:0.008938+0.000092 test-mlogloss:1.254872+0.032183
## [441] train-mlogloss:0.008907+0.000089 test-mlogloss:1.255315+0.031996
## [442] train-mlogloss:0.008874+0.000083 test-mlogloss:1.255932+0.032865
## [443] train-mlogloss:0.008852+0.000081 test-mlogloss:1.254120+0.031705
## [444] train-mlogloss:0.008834+0.000087 test-mlogloss:1.254686+0.031727
## [445] train-mlogloss:0.008802+0.000082 test-mlogloss:1.255819+0.032350
## [446] train-mlogloss:0.008775+0.000082 test-mlogloss:1.256012+0.033411
## [447] train-mlogloss:0.008750+0.000082 test-mlogloss:1.257289+0.033080
## [448] train-mlogloss:0.008727+0.000078 test-mlogloss:1.257853+0.032554
## [449] train-mlogloss:0.008705+0.000082 test-mlogloss:1.258483+0.032676
## [450] train-mlogloss:0.008680+0.000079 test-mlogloss:1.258880+0.032262
## [451] train-mlogloss:0.008653+0.000081 test-mlogloss:1.259204+0.033116
## [452] train-mlogloss:0.008634+0.000082 test-mlogloss:1.259898+0.033483
## [453] train-mlogloss:0.008610+0.000086 test-mlogloss:1.260081+0.032971
## [454] train-mlogloss:0.008586+0.000082 test-mlogloss:1.260648+0.032293
## [455] train-mlogloss:0.008571+0.000080 test-mlogloss:1.260818+0.032679
## [456] train-mlogloss:0.008548+0.000075 test-mlogloss:1.262880+0.032305
## [457] train-mlogloss:0.008523+0.000076 test-mlogloss:1.262063+0.032173
## [458] train-mlogloss:0.008498+0.000074 test-mlogloss:1.262611+0.031468
## [459] train-mlogloss:0.008473+0.000077 test-mlogloss:1.262633+0.031504
## [460] train-mlogloss:0.008458+0.000077 test-mlogloss:1.263406+0.031487
## [461] train-mlogloss:0.008431+0.000073 test-mlogloss:1.264428+0.031595
## [462] train-mlogloss:0.008408+0.000075 test-mlogloss:1.265176+0.031867
## [463] train-mlogloss:0.008390+0.000075 test-mlogloss:1.265752+0.032375
## [464] train-mlogloss:0.008369+0.000069 test-mlogloss:1.266399+0.033460
## [465] train-mlogloss:0.008354+0.000075 test-mlogloss:1.265765+0.034282
## [466] train-mlogloss:0.008332+0.000075 test-mlogloss:1.267116+0.034231
## [467] train-mlogloss:0.008318+0.000075 test-mlogloss:1.267245+0.034168
## [468] train-mlogloss:0.008288+0.000070 test-mlogloss:1.267943+0.033678
## [469] train-mlogloss:0.008259+0.000070 test-mlogloss:1.268046+0.033783
## [470] train-mlogloss:0.008240+0.000069 test-mlogloss:1.268159+0.033208
## [471] train-mlogloss:0.008214+0.000070 test-mlogloss:1.267730+0.032282
## [472] train-mlogloss:0.008185+0.000080 test-mlogloss:1.268872+0.032464
## [473] train-mlogloss:0.008168+0.000079 test-mlogloss:1.268952+0.031898
## [474] train-mlogloss:0.008150+0.000073 test-mlogloss:1.270626+0.031694
## [475] train-mlogloss:0.008125+0.000073 test-mlogloss:1.270393+0.031089
## [476] train-mlogloss:0.008103+0.000070 test-mlogloss:1.270472+0.031141
## [477] train-mlogloss:0.008087+0.000072 test-mlogloss:1.271966+0.031448
## [478] train-mlogloss:0.008053+0.000075 test-mlogloss:1.273028+0.031911
## [479] train-mlogloss:0.008035+0.000074 test-mlogloss:1.272180+0.032093
## [480] train-mlogloss:0.008013+0.000070 test-mlogloss:1.273844+0.031200
## [481] train-mlogloss:0.007997+0.000068 test-mlogloss:1.273508+0.031232
## [482] train-mlogloss:0.007977+0.000072 test-mlogloss:1.274761+0.031837
## [483] train-mlogloss:0.007957+0.000068 test-mlogloss:1.275324+0.032294
## [484] train-mlogloss:0.007939+0.000068 test-mlogloss:1.275961+0.031757
## [485] train-mlogloss:0.007918+0.000069 test-mlogloss:1.275497+0.031122
## [486] train-mlogloss:0.007904+0.000070 test-mlogloss:1.275953+0.030148
## [487] train-mlogloss:0.007889+0.000074 test-mlogloss:1.276221+0.031927
## [488] train-mlogloss:0.007867+0.000069 test-mlogloss:1.276059+0.032395
## [489] train-mlogloss:0.007844+0.000071 test-mlogloss:1.276173+0.032268
## [490] train-mlogloss:0.007825+0.000074 test-mlogloss:1.276484+0.031506
## [491] train-mlogloss:0.007804+0.000070 test-mlogloss:1.275702+0.032547
## [492] train-mlogloss:0.007784+0.000067 test-mlogloss:1.277393+0.033169
## [493] train-mlogloss:0.007769+0.000061 test-mlogloss:1.277927+0.033582
## [494] train-mlogloss:0.007753+0.000053 test-mlogloss:1.279072+0.032798
## [495] train-mlogloss:0.007737+0.000056 test-mlogloss:1.280311+0.032993
## [496] train-mlogloss:0.007715+0.000053 test-mlogloss:1.281276+0.034058
## [497] train-mlogloss:0.007699+0.000051 test-mlogloss:1.282158+0.033600
## [498] train-mlogloss:0.007683+0.000051 test-mlogloss:1.282357+0.034161
## [499] train-mlogloss:0.007668+0.000051 test-mlogloss:1.281837+0.034248
## [500] train-mlogloss:0.007648+0.000052 test-mlogloss:1.282065+0.033538
## [1] train-mlogloss:0.439097+0.003215 test-mlogloss:0.596171+0.004038
## [2] train-mlogloss:0.347880+0.004966 test-mlogloss:0.628029+0.008086
## [3] train-mlogloss:0.289622+0.003692 test-mlogloss:0.653079+0.009287
## [4] train-mlogloss:0.244213+0.005250 test-mlogloss:0.678485+0.012131
## [5] train-mlogloss:0.208437+0.005229 test-mlogloss:0.706969+0.015284
## [6] train-mlogloss:0.180168+0.004327 test-mlogloss:0.730666+0.017126
## [7] train-mlogloss:0.158470+0.002570 test-mlogloss:0.752227+0.020544
## [8] train-mlogloss:0.139958+0.002747 test-mlogloss:0.770788+0.017907
## [9] train-mlogloss:0.124306+0.002594 test-mlogloss:0.792084+0.018116
## [10] train-mlogloss:0.111306+0.002567 test-mlogloss:0.808531+0.020877
## [11] train-mlogloss:0.100630+0.002912 test-mlogloss:0.818719+0.021796
## [12] train-mlogloss:0.091682+0.002871 test-mlogloss:0.831142+0.022643
## [13] train-mlogloss:0.083751+0.002352 test-mlogloss:0.838749+0.022737
## [14] train-mlogloss:0.077330+0.001846 test-mlogloss:0.845172+0.022683
## [15] train-mlogloss:0.071442+0.001277 test-mlogloss:0.856334+0.021024
## [16] train-mlogloss:0.066277+0.001067 test-mlogloss:0.865456+0.022260
## [17] train-mlogloss:0.061705+0.001140 test-mlogloss:0.873108+0.025814
## [18] train-mlogloss:0.058164+0.000943 test-mlogloss:0.883461+0.027445
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## [21] train-mlogloss:0.048923+0.000329 test-mlogloss:0.898074+0.034409
## [22] train-mlogloss:0.046512+0.000346 test-mlogloss:0.906551+0.037261
## [23] train-mlogloss:0.044268+0.000238 test-mlogloss:0.912439+0.037595
## [24] train-mlogloss:0.042284+0.000232 test-mlogloss:0.918000+0.036352
## [25] train-mlogloss:0.040399+0.000336 test-mlogloss:0.922646+0.032729
## [26] train-mlogloss:0.038700+0.000362 test-mlogloss:0.927202+0.032725
## [27] train-mlogloss:0.037192+0.000335 test-mlogloss:0.932759+0.033583
## [28] train-mlogloss:0.035806+0.000218 test-mlogloss:0.935592+0.034041
## [29] train-mlogloss:0.034489+0.000216 test-mlogloss:0.940623+0.036191
## [30] train-mlogloss:0.033453+0.000229 test-mlogloss:0.947150+0.035618
## [31] train-mlogloss:0.032344+0.000286 test-mlogloss:0.953980+0.035871
## [32] train-mlogloss:0.031258+0.000260 test-mlogloss:0.956689+0.038368
## [33] train-mlogloss:0.030329+0.000275 test-mlogloss:0.960407+0.039857
## [34] train-mlogloss:0.029475+0.000309 test-mlogloss:0.962516+0.043239
## [35] train-mlogloss:0.028703+0.000311 test-mlogloss:0.968539+0.044806
## [36] train-mlogloss:0.027881+0.000245 test-mlogloss:0.973451+0.046234
## [37] train-mlogloss:0.027185+0.000292 test-mlogloss:0.977955+0.047362
## [38] train-mlogloss:0.026464+0.000281 test-mlogloss:0.980697+0.046451
## [39] train-mlogloss:0.025858+0.000254 test-mlogloss:0.986235+0.046129
## [40] train-mlogloss:0.025265+0.000240 test-mlogloss:0.991082+0.045052
## [41] train-mlogloss:0.024695+0.000280 test-mlogloss:0.991530+0.043706
## [42] train-mlogloss:0.024136+0.000250 test-mlogloss:0.993809+0.045857
## [43] train-mlogloss:0.023628+0.000249 test-mlogloss:0.995092+0.044988
## [44] train-mlogloss:0.023155+0.000181 test-mlogloss:0.998292+0.043946
## [45] train-mlogloss:0.022732+0.000168 test-mlogloss:0.999264+0.046705
## [46] train-mlogloss:0.022246+0.000143 test-mlogloss:1.004242+0.048244
## [47] train-mlogloss:0.021793+0.000127 test-mlogloss:1.006216+0.048407
## [48] train-mlogloss:0.021368+0.000092 test-mlogloss:1.009542+0.049463
## [49] train-mlogloss:0.020984+0.000107 test-mlogloss:1.012923+0.048173
## [50] train-mlogloss:0.020644+0.000085 test-mlogloss:1.013362+0.048233
## [51] train-mlogloss:0.020272+0.000069 test-mlogloss:1.017880+0.047772
## [52] train-mlogloss:0.019918+0.000095 test-mlogloss:1.020197+0.047517
## [53] train-mlogloss:0.019610+0.000076 test-mlogloss:1.022594+0.048181
## [54] train-mlogloss:0.019288+0.000062 test-mlogloss:1.025616+0.046674
## [55] train-mlogloss:0.019001+0.000050 test-mlogloss:1.026579+0.048078
## [56] train-mlogloss:0.018724+0.000050 test-mlogloss:1.026644+0.046707
## [57] train-mlogloss:0.018447+0.000042 test-mlogloss:1.029355+0.048959
## [58] train-mlogloss:0.018135+0.000066 test-mlogloss:1.029614+0.049348
## [59] train-mlogloss:0.017897+0.000051 test-mlogloss:1.031182+0.049823
## [60] train-mlogloss:0.017647+0.000074 test-mlogloss:1.033745+0.050133
## [61] train-mlogloss:0.017379+0.000082 test-mlogloss:1.035710+0.050476
## [62] train-mlogloss:0.017155+0.000063 test-mlogloss:1.037700+0.050337
## [63] train-mlogloss:0.016912+0.000045 test-mlogloss:1.038270+0.050765
## [64] train-mlogloss:0.016683+0.000058 test-mlogloss:1.038796+0.052826
## [65] train-mlogloss:0.016485+0.000056 test-mlogloss:1.039413+0.053176
## [66] train-mlogloss:0.016256+0.000041 test-mlogloss:1.040404+0.052878
## [67] train-mlogloss:0.016047+0.000049 test-mlogloss:1.041629+0.054881
## [68] train-mlogloss:0.015868+0.000039 test-mlogloss:1.042859+0.055223
## [69] train-mlogloss:0.015658+0.000041 test-mlogloss:1.043728+0.053942
## [70] train-mlogloss:0.015468+0.000043 test-mlogloss:1.045663+0.053557
## [71] train-mlogloss:0.015299+0.000037 test-mlogloss:1.047356+0.052384
## [72] train-mlogloss:0.015120+0.000046 test-mlogloss:1.049630+0.052872
## [73] train-mlogloss:0.014934+0.000064 test-mlogloss:1.050137+0.053402
## [74] train-mlogloss:0.014773+0.000070 test-mlogloss:1.051565+0.052974
## [75] train-mlogloss:0.014623+0.000060 test-mlogloss:1.051778+0.051888
## [76] train-mlogloss:0.014467+0.000060 test-mlogloss:1.053081+0.050387
## [77] train-mlogloss:0.014327+0.000055 test-mlogloss:1.056199+0.051629
## [78] train-mlogloss:0.014181+0.000062 test-mlogloss:1.056601+0.051777
## [79] train-mlogloss:0.014035+0.000049 test-mlogloss:1.057845+0.051103
## [80] train-mlogloss:0.013905+0.000043 test-mlogloss:1.058040+0.050216
## [81] train-mlogloss:0.013771+0.000051 test-mlogloss:1.061395+0.049153
## [82] train-mlogloss:0.013639+0.000053 test-mlogloss:1.063416+0.049476
## [83] train-mlogloss:0.013500+0.000046 test-mlogloss:1.065727+0.049815
## [84] train-mlogloss:0.013369+0.000051 test-mlogloss:1.067290+0.051135
## [85] train-mlogloss:0.013242+0.000035 test-mlogloss:1.069178+0.049502
## [86] train-mlogloss:0.013115+0.000031 test-mlogloss:1.070764+0.050327
## [87] train-mlogloss:0.013017+0.000028 test-mlogloss:1.071520+0.050034
## [88] train-mlogloss:0.012905+0.000024 test-mlogloss:1.074673+0.050074
## [89] train-mlogloss:0.012787+0.000027 test-mlogloss:1.073174+0.048419
## [90] train-mlogloss:0.012672+0.000020 test-mlogloss:1.072847+0.048987
## [91] train-mlogloss:0.012575+0.000018 test-mlogloss:1.074866+0.050728
## [92] train-mlogloss:0.012480+0.000026 test-mlogloss:1.076322+0.051500
## [93] train-mlogloss:0.012377+0.000034 test-mlogloss:1.077625+0.050711
## [94] train-mlogloss:0.012288+0.000037 test-mlogloss:1.079172+0.049997
## [95] train-mlogloss:0.012197+0.000047 test-mlogloss:1.079503+0.050213
## [96] train-mlogloss:0.012093+0.000038 test-mlogloss:1.079780+0.050064
## [97] train-mlogloss:0.011996+0.000040 test-mlogloss:1.081373+0.049943
## [98] train-mlogloss:0.011902+0.000031 test-mlogloss:1.082126+0.049637
## [99] train-mlogloss:0.011803+0.000042 test-mlogloss:1.083305+0.051024
## [100] train-mlogloss:0.011717+0.000033 test-mlogloss:1.084026+0.050483
## [101] train-mlogloss:0.011635+0.000045 test-mlogloss:1.083490+0.050718
## [102] train-mlogloss:0.011552+0.000038 test-mlogloss:1.084988+0.050080
## [103] train-mlogloss:0.011478+0.000039 test-mlogloss:1.087512+0.050889
## [104] train-mlogloss:0.011392+0.000036 test-mlogloss:1.087867+0.051534
## [105] train-mlogloss:0.011318+0.000037 test-mlogloss:1.089842+0.052382
## [106] train-mlogloss:0.011244+0.000030 test-mlogloss:1.090706+0.051883
## [107] train-mlogloss:0.011173+0.000033 test-mlogloss:1.091912+0.052893
## [108] train-mlogloss:0.011089+0.000052 test-mlogloss:1.089736+0.051968
## [109] train-mlogloss:0.011009+0.000053 test-mlogloss:1.092027+0.052111
## [110] train-mlogloss:0.010939+0.000056 test-mlogloss:1.092263+0.052316
## [111] train-mlogloss:0.010864+0.000057 test-mlogloss:1.092070+0.054223
## [112] train-mlogloss:0.010794+0.000051 test-mlogloss:1.092318+0.054170
## [113] train-mlogloss:0.010724+0.000058 test-mlogloss:1.093622+0.052680
## [114] train-mlogloss:0.010661+0.000055 test-mlogloss:1.095707+0.052840
## [115] train-mlogloss:0.010580+0.000057 test-mlogloss:1.096198+0.052452
## [116] train-mlogloss:0.010511+0.000061 test-mlogloss:1.097744+0.052092
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## [119] train-mlogloss:0.010315+0.000061 test-mlogloss:1.099609+0.052502
## [120] train-mlogloss:0.010249+0.000060 test-mlogloss:1.100422+0.052614
## [121] train-mlogloss:0.010193+0.000078 test-mlogloss:1.100467+0.052027
## [122] train-mlogloss:0.010126+0.000079 test-mlogloss:1.102414+0.052403
## [123] train-mlogloss:0.010067+0.000073 test-mlogloss:1.103547+0.051874
## [124] train-mlogloss:0.010012+0.000075 test-mlogloss:1.103873+0.050960
## [125] train-mlogloss:0.009959+0.000066 test-mlogloss:1.104549+0.052927
## [126] train-mlogloss:0.009918+0.000066 test-mlogloss:1.105455+0.052897
## [127] train-mlogloss:0.009862+0.000068 test-mlogloss:1.106334+0.052421
## [128] train-mlogloss:0.009801+0.000057 test-mlogloss:1.107093+0.052586
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## [133] train-mlogloss:0.009534+0.000049 test-mlogloss:1.112102+0.055430
## [134] train-mlogloss:0.009498+0.000057 test-mlogloss:1.112366+0.055156
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## [169] train-mlogloss:0.008091+0.000038 test-mlogloss:1.140483+0.049936
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## [216] train-mlogloss:0.006913+0.000049 test-mlogloss:1.173135+0.050463
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## [225] train-mlogloss:0.006741+0.000048 test-mlogloss:1.174506+0.049633
## [226] train-mlogloss:0.006725+0.000046 test-mlogloss:1.175888+0.049371
## [227] train-mlogloss:0.006707+0.000044 test-mlogloss:1.176310+0.049691
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## [230] train-mlogloss:0.006655+0.000040 test-mlogloss:1.176865+0.051583
## [231] train-mlogloss:0.006639+0.000035 test-mlogloss:1.176340+0.050690
## [232] train-mlogloss:0.006615+0.000037 test-mlogloss:1.175630+0.051113
## [233] train-mlogloss:0.006598+0.000032 test-mlogloss:1.176695+0.050729
## [234] train-mlogloss:0.006584+0.000029 test-mlogloss:1.176680+0.050973
## [235] train-mlogloss:0.006562+0.000023 test-mlogloss:1.176671+0.050293
## [236] train-mlogloss:0.006541+0.000022 test-mlogloss:1.177078+0.050569
## [237] train-mlogloss:0.006524+0.000022 test-mlogloss:1.177476+0.050250
## [238] train-mlogloss:0.006508+0.000022 test-mlogloss:1.178507+0.051135
## [239] train-mlogloss:0.006493+0.000022 test-mlogloss:1.178953+0.051187
## [240] train-mlogloss:0.006476+0.000023 test-mlogloss:1.179908+0.050279
## [241] train-mlogloss:0.006463+0.000018 test-mlogloss:1.181087+0.050951
## [242] train-mlogloss:0.006448+0.000020 test-mlogloss:1.181220+0.050788
## [243] train-mlogloss:0.006430+0.000017 test-mlogloss:1.180890+0.049567
## [244] train-mlogloss:0.006415+0.000021 test-mlogloss:1.182120+0.049796
## [245] train-mlogloss:0.006400+0.000020 test-mlogloss:1.183583+0.048655
## [246] train-mlogloss:0.006379+0.000019 test-mlogloss:1.181979+0.048253
## [247] train-mlogloss:0.006365+0.000022 test-mlogloss:1.182899+0.048549
## [248] train-mlogloss:0.006350+0.000018 test-mlogloss:1.183838+0.048392
## [249] train-mlogloss:0.006334+0.000018 test-mlogloss:1.183244+0.047983
## [250] train-mlogloss:0.006314+0.000020 test-mlogloss:1.183241+0.047006
## [251] train-mlogloss:0.006297+0.000020 test-mlogloss:1.184886+0.047805
## [252] train-mlogloss:0.006280+0.000023 test-mlogloss:1.184816+0.047577
## [253] train-mlogloss:0.006268+0.000022 test-mlogloss:1.185450+0.048351
## [254] train-mlogloss:0.006255+0.000019 test-mlogloss:1.186208+0.048613
## [255] train-mlogloss:0.006242+0.000019 test-mlogloss:1.187526+0.048666
## [256] train-mlogloss:0.006229+0.000016 test-mlogloss:1.188259+0.049465
## [257] train-mlogloss:0.006214+0.000014 test-mlogloss:1.187688+0.048191
## [258] train-mlogloss:0.006202+0.000015 test-mlogloss:1.189197+0.048285
## [259] train-mlogloss:0.006187+0.000014 test-mlogloss:1.189708+0.048070
## [260] train-mlogloss:0.006175+0.000011 test-mlogloss:1.190441+0.047303
## [261] train-mlogloss:0.006158+0.000011 test-mlogloss:1.190669+0.048187
## [262] train-mlogloss:0.006140+0.000010 test-mlogloss:1.190497+0.047911
## [263] train-mlogloss:0.006128+0.000012 test-mlogloss:1.190544+0.047964
## [264] train-mlogloss:0.006115+0.000013 test-mlogloss:1.190180+0.048606
## [265] train-mlogloss:0.006102+0.000009 test-mlogloss:1.190422+0.048071
## [266] train-mlogloss:0.006084+0.000012 test-mlogloss:1.189513+0.048550
## [267] train-mlogloss:0.006068+0.000013 test-mlogloss:1.190254+0.047650
## [268] train-mlogloss:0.006054+0.000015 test-mlogloss:1.191002+0.047868
## [269] train-mlogloss:0.006038+0.000012 test-mlogloss:1.191302+0.047470
## [270] train-mlogloss:0.006025+0.000013 test-mlogloss:1.191046+0.047731
## [271] train-mlogloss:0.006012+0.000017 test-mlogloss:1.191787+0.047792
## [272] train-mlogloss:0.006000+0.000016 test-mlogloss:1.193027+0.047374
## [273] train-mlogloss:0.005985+0.000013 test-mlogloss:1.193648+0.048247
## [274] train-mlogloss:0.005971+0.000014 test-mlogloss:1.193658+0.047847
## [275] train-mlogloss:0.005954+0.000015 test-mlogloss:1.193903+0.048335
## [276] train-mlogloss:0.005942+0.000015 test-mlogloss:1.194369+0.049171
## [277] train-mlogloss:0.005930+0.000012 test-mlogloss:1.194764+0.049400
## [278] train-mlogloss:0.005918+0.000014 test-mlogloss:1.195227+0.048803
## [279] train-mlogloss:0.005906+0.000013 test-mlogloss:1.195522+0.050200
## [280] train-mlogloss:0.005896+0.000014 test-mlogloss:1.194940+0.048889
## [281] train-mlogloss:0.005879+0.000013 test-mlogloss:1.195280+0.049149
## [282] train-mlogloss:0.005868+0.000013 test-mlogloss:1.196162+0.049605
## [283] train-mlogloss:0.005854+0.000012 test-mlogloss:1.196069+0.050137
## [284] train-mlogloss:0.005845+0.000011 test-mlogloss:1.197562+0.050323
## [285] train-mlogloss:0.005830+0.000012 test-mlogloss:1.197712+0.050016
## [286] train-mlogloss:0.005820+0.000009 test-mlogloss:1.197433+0.050205
## [287] train-mlogloss:0.005806+0.000011 test-mlogloss:1.197392+0.050078
## [288] train-mlogloss:0.005798+0.000012 test-mlogloss:1.197891+0.051051
## [289] train-mlogloss:0.005783+0.000010 test-mlogloss:1.198237+0.050694
## [290] train-mlogloss:0.005771+0.000012 test-mlogloss:1.199201+0.051701
## [291] train-mlogloss:0.005760+0.000011 test-mlogloss:1.199022+0.050928
## [292] train-mlogloss:0.005753+0.000014 test-mlogloss:1.198709+0.050471
## [293] train-mlogloss:0.005739+0.000015 test-mlogloss:1.199715+0.051804
## [294] train-mlogloss:0.005725+0.000015 test-mlogloss:1.199656+0.051701
## [295] train-mlogloss:0.005715+0.000015 test-mlogloss:1.200132+0.051012
## [296] train-mlogloss:0.005704+0.000018 test-mlogloss:1.200490+0.050859
## [297] train-mlogloss:0.005692+0.000017 test-mlogloss:1.201820+0.050769
## [298] train-mlogloss:0.005683+0.000017 test-mlogloss:1.202180+0.050014
## [299] train-mlogloss:0.005669+0.000015 test-mlogloss:1.203014+0.049885
## [300] train-mlogloss:0.005660+0.000018 test-mlogloss:1.203456+0.050390
## [301] train-mlogloss:0.005650+0.000020 test-mlogloss:1.203901+0.050972
## [302] train-mlogloss:0.005638+0.000020 test-mlogloss:1.203729+0.051041
## [303] train-mlogloss:0.005630+0.000020 test-mlogloss:1.203074+0.049946
## [304] train-mlogloss:0.005617+0.000021 test-mlogloss:1.204125+0.049940
## [305] train-mlogloss:0.005609+0.000020 test-mlogloss:1.203563+0.049544
## [306] train-mlogloss:0.005600+0.000018 test-mlogloss:1.203686+0.049101
## [307] train-mlogloss:0.005588+0.000019 test-mlogloss:1.204310+0.049411
## [308] train-mlogloss:0.005579+0.000020 test-mlogloss:1.203631+0.049492
## [309] train-mlogloss:0.005568+0.000023 test-mlogloss:1.204005+0.048261
## [310] train-mlogloss:0.005556+0.000020 test-mlogloss:1.204667+0.048268
## [311] train-mlogloss:0.005546+0.000019 test-mlogloss:1.205208+0.047673
## [312] train-mlogloss:0.005533+0.000020 test-mlogloss:1.205609+0.048549
## [313] train-mlogloss:0.005524+0.000021 test-mlogloss:1.205396+0.048612
## [314] train-mlogloss:0.005512+0.000021 test-mlogloss:1.206177+0.049352
## [315] train-mlogloss:0.005503+0.000022 test-mlogloss:1.207311+0.049305
## [316] train-mlogloss:0.005494+0.000018 test-mlogloss:1.207938+0.048989
## [317] train-mlogloss:0.005482+0.000017 test-mlogloss:1.208114+0.047690
## [318] train-mlogloss:0.005470+0.000020 test-mlogloss:1.209661+0.047495
## [319] train-mlogloss:0.005458+0.000021 test-mlogloss:1.208612+0.047431
## [320] train-mlogloss:0.005448+0.000021 test-mlogloss:1.209002+0.047497
## [321] train-mlogloss:0.005436+0.000024 test-mlogloss:1.208495+0.047456
## [322] train-mlogloss:0.005427+0.000023 test-mlogloss:1.208485+0.046783
## [323] train-mlogloss:0.005418+0.000023 test-mlogloss:1.208319+0.046345
## [324] train-mlogloss:0.005411+0.000023 test-mlogloss:1.209303+0.047606
## [325] train-mlogloss:0.005401+0.000019 test-mlogloss:1.209615+0.046668
## [326] train-mlogloss:0.005390+0.000022 test-mlogloss:1.209749+0.046104
## [327] train-mlogloss:0.005381+0.000022 test-mlogloss:1.210593+0.046768
## [328] train-mlogloss:0.005371+0.000019 test-mlogloss:1.210189+0.046997
## [329] train-mlogloss:0.005362+0.000018 test-mlogloss:1.210457+0.045254
## [330] train-mlogloss:0.005351+0.000016 test-mlogloss:1.210823+0.045609
## [331] train-mlogloss:0.005344+0.000019 test-mlogloss:1.211975+0.046264
## [332] train-mlogloss:0.005334+0.000018 test-mlogloss:1.211915+0.047409
## [333] train-mlogloss:0.005322+0.000019 test-mlogloss:1.211895+0.047076
## [334] train-mlogloss:0.005314+0.000019 test-mlogloss:1.212458+0.046861
## [335] train-mlogloss:0.005304+0.000021 test-mlogloss:1.212563+0.046869
## [336] train-mlogloss:0.005297+0.000020 test-mlogloss:1.213202+0.046802
## [337] train-mlogloss:0.005285+0.000022 test-mlogloss:1.212971+0.048148
## [338] train-mlogloss:0.005275+0.000024 test-mlogloss:1.213289+0.048120
## [339] train-mlogloss:0.005266+0.000024 test-mlogloss:1.214363+0.048448
## [340] train-mlogloss:0.005259+0.000023 test-mlogloss:1.213844+0.047631
## [341] train-mlogloss:0.005248+0.000023 test-mlogloss:1.214656+0.048547
## [342] train-mlogloss:0.005240+0.000022 test-mlogloss:1.213712+0.048490
## [343] train-mlogloss:0.005231+0.000021 test-mlogloss:1.214530+0.047129
## [344] train-mlogloss:0.005222+0.000022 test-mlogloss:1.214443+0.047387
## [345] train-mlogloss:0.005213+0.000025 test-mlogloss:1.214620+0.047605
## [346] train-mlogloss:0.005206+0.000026 test-mlogloss:1.214568+0.048452
## [347] train-mlogloss:0.005199+0.000030 test-mlogloss:1.215025+0.046978
## [348] train-mlogloss:0.005188+0.000029 test-mlogloss:1.214618+0.046158
## [349] train-mlogloss:0.005180+0.000027 test-mlogloss:1.215014+0.047558
## [350] train-mlogloss:0.005173+0.000028 test-mlogloss:1.214072+0.047341
## [351] train-mlogloss:0.005165+0.000025 test-mlogloss:1.214853+0.048118
## [352] train-mlogloss:0.005153+0.000026 test-mlogloss:1.215072+0.047653
## [353] train-mlogloss:0.005143+0.000028 test-mlogloss:1.214676+0.046648
## [354] train-mlogloss:0.005135+0.000031 test-mlogloss:1.215465+0.046887
## [355] train-mlogloss:0.005128+0.000030 test-mlogloss:1.216011+0.046475
## [356] train-mlogloss:0.005117+0.000029 test-mlogloss:1.217370+0.047081
## [357] train-mlogloss:0.005108+0.000027 test-mlogloss:1.217619+0.047057
## [358] train-mlogloss:0.005101+0.000030 test-mlogloss:1.218109+0.046161
## [359] train-mlogloss:0.005093+0.000027 test-mlogloss:1.218202+0.046191
## [360] train-mlogloss:0.005084+0.000028 test-mlogloss:1.218643+0.045921
## [361] train-mlogloss:0.005077+0.000029 test-mlogloss:1.219492+0.045885
## [362] train-mlogloss:0.005069+0.000031 test-mlogloss:1.219912+0.046077
## [363] train-mlogloss:0.005062+0.000032 test-mlogloss:1.218852+0.045980
## [364] train-mlogloss:0.005055+0.000030 test-mlogloss:1.218136+0.046615
## [365] train-mlogloss:0.005046+0.000029 test-mlogloss:1.218564+0.047102
## [366] train-mlogloss:0.005037+0.000028 test-mlogloss:1.219528+0.047318
## [367] train-mlogloss:0.005029+0.000026 test-mlogloss:1.219671+0.048326
## [368] train-mlogloss:0.005022+0.000026 test-mlogloss:1.220062+0.047698
## [369] train-mlogloss:0.005011+0.000024 test-mlogloss:1.220387+0.047839
## [370] train-mlogloss:0.005003+0.000024 test-mlogloss:1.220803+0.048454
## [371] train-mlogloss:0.004997+0.000025 test-mlogloss:1.220400+0.047852
## [372] train-mlogloss:0.004988+0.000022 test-mlogloss:1.220238+0.047756
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## [374] train-mlogloss:0.004977+0.000023 test-mlogloss:1.221713+0.047280
## [375] train-mlogloss:0.004967+0.000025 test-mlogloss:1.220197+0.047760
## [376] train-mlogloss:0.004962+0.000026 test-mlogloss:1.220925+0.048162
## [377] train-mlogloss:0.004954+0.000027 test-mlogloss:1.220607+0.047436
## [378] train-mlogloss:0.004947+0.000024 test-mlogloss:1.220022+0.047310
## [379] train-mlogloss:0.004939+0.000027 test-mlogloss:1.220912+0.047688
## [380] train-mlogloss:0.004932+0.000026 test-mlogloss:1.221576+0.047008
## [381] train-mlogloss:0.004925+0.000024 test-mlogloss:1.221758+0.046071
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## [383] train-mlogloss:0.004912+0.000026 test-mlogloss:1.222712+0.046314
## [384] train-mlogloss:0.004905+0.000028 test-mlogloss:1.223302+0.046733
## [385] train-mlogloss:0.004895+0.000025 test-mlogloss:1.223318+0.045908
## [386] train-mlogloss:0.004890+0.000025 test-mlogloss:1.224038+0.045317
## [387] train-mlogloss:0.004883+0.000025 test-mlogloss:1.223929+0.046388
## [388] train-mlogloss:0.004876+0.000026 test-mlogloss:1.224711+0.046325
## [389] train-mlogloss:0.004871+0.000026 test-mlogloss:1.223729+0.047562
## [390] train-mlogloss:0.004864+0.000027 test-mlogloss:1.224607+0.046580
## [391] train-mlogloss:0.004856+0.000031 test-mlogloss:1.224996+0.046227
## [392] train-mlogloss:0.004850+0.000028 test-mlogloss:1.225561+0.047397
## [393] train-mlogloss:0.004842+0.000026 test-mlogloss:1.225358+0.047037
## [394] train-mlogloss:0.004836+0.000028 test-mlogloss:1.225662+0.046580
## [395] train-mlogloss:0.004829+0.000027 test-mlogloss:1.225675+0.046573
## [396] train-mlogloss:0.004821+0.000026 test-mlogloss:1.225766+0.046176
## [397] train-mlogloss:0.004815+0.000026 test-mlogloss:1.226981+0.046082
## [398] train-mlogloss:0.004808+0.000026 test-mlogloss:1.227060+0.046482
## [399] train-mlogloss:0.004804+0.000024 test-mlogloss:1.226783+0.046820
## [400] train-mlogloss:0.004795+0.000024 test-mlogloss:1.227554+0.046347
## [401] train-mlogloss:0.004786+0.000023 test-mlogloss:1.228253+0.046812
## [402] train-mlogloss:0.004782+0.000021 test-mlogloss:1.227675+0.046581
## [403] train-mlogloss:0.004778+0.000024 test-mlogloss:1.227758+0.046440
## [404] train-mlogloss:0.004773+0.000022 test-mlogloss:1.227479+0.046899
## [405] train-mlogloss:0.004764+0.000022 test-mlogloss:1.228468+0.047156
## [406] train-mlogloss:0.004759+0.000022 test-mlogloss:1.228537+0.047433
## [407] train-mlogloss:0.004752+0.000023 test-mlogloss:1.229427+0.048309
## [408] train-mlogloss:0.004745+0.000023 test-mlogloss:1.229237+0.048503
## [409] train-mlogloss:0.004738+0.000021 test-mlogloss:1.229707+0.047672
## [410] train-mlogloss:0.004733+0.000021 test-mlogloss:1.229760+0.048525
## [411] train-mlogloss:0.004726+0.000022 test-mlogloss:1.229382+0.049399
## [412] train-mlogloss:0.004721+0.000022 test-mlogloss:1.229645+0.049901
## [413] train-mlogloss:0.004714+0.000023 test-mlogloss:1.230431+0.049685
## [414] train-mlogloss:0.004705+0.000023 test-mlogloss:1.230253+0.049498
## [415] train-mlogloss:0.004701+0.000022 test-mlogloss:1.228966+0.048330
## [416] train-mlogloss:0.004695+0.000019 test-mlogloss:1.229592+0.049043
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## [418] train-mlogloss:0.004683+0.000020 test-mlogloss:1.229736+0.047647
## [419] train-mlogloss:0.004677+0.000019 test-mlogloss:1.230564+0.047833
## [420] train-mlogloss:0.004674+0.000018 test-mlogloss:1.232999+0.047672
## [421] train-mlogloss:0.004666+0.000017 test-mlogloss:1.232809+0.049162
## [422] train-mlogloss:0.004660+0.000017 test-mlogloss:1.232834+0.048633
## [423] train-mlogloss:0.004654+0.000019 test-mlogloss:1.232985+0.047377
## [424] train-mlogloss:0.004648+0.000019 test-mlogloss:1.233422+0.047783
## [425] train-mlogloss:0.004642+0.000017 test-mlogloss:1.233746+0.047712
## [426] train-mlogloss:0.004638+0.000016 test-mlogloss:1.233596+0.047233
## [427] train-mlogloss:0.004631+0.000020 test-mlogloss:1.233917+0.047026
## [428] train-mlogloss:0.004625+0.000018 test-mlogloss:1.233725+0.047216
## [429] train-mlogloss:0.004619+0.000020 test-mlogloss:1.234109+0.046653
## [430] train-mlogloss:0.004614+0.000018 test-mlogloss:1.233869+0.047908
## [431] train-mlogloss:0.004606+0.000018 test-mlogloss:1.233931+0.048037
## [432] train-mlogloss:0.004601+0.000017 test-mlogloss:1.234549+0.047280
## [433] train-mlogloss:0.004597+0.000017 test-mlogloss:1.235073+0.047782
## [434] train-mlogloss:0.004591+0.000017 test-mlogloss:1.234911+0.047963
## [435] train-mlogloss:0.004586+0.000018 test-mlogloss:1.235232+0.047355
## [436] train-mlogloss:0.004581+0.000018 test-mlogloss:1.235854+0.047407
## [437] train-mlogloss:0.004576+0.000020 test-mlogloss:1.237051+0.047840
## [438] train-mlogloss:0.004571+0.000018 test-mlogloss:1.236948+0.047774
## [439] train-mlogloss:0.004565+0.000018 test-mlogloss:1.237609+0.047397
## [440] train-mlogloss:0.004560+0.000019 test-mlogloss:1.237512+0.047277
## [441] train-mlogloss:0.004556+0.000019 test-mlogloss:1.238433+0.046754
## [442] train-mlogloss:0.004552+0.000020 test-mlogloss:1.238081+0.047704
## [443] train-mlogloss:0.004549+0.000022 test-mlogloss:1.238471+0.047150
## [444] train-mlogloss:0.004543+0.000021 test-mlogloss:1.238893+0.046950
## [445] train-mlogloss:0.004536+0.000018 test-mlogloss:1.238167+0.047176
## [446] train-mlogloss:0.004530+0.000021 test-mlogloss:1.238631+0.047622
## [447] train-mlogloss:0.004523+0.000021 test-mlogloss:1.238873+0.048881
## [448] train-mlogloss:0.004518+0.000019 test-mlogloss:1.239055+0.048456
## [449] train-mlogloss:0.004512+0.000019 test-mlogloss:1.239011+0.048283
## [450] train-mlogloss:0.004505+0.000019 test-mlogloss:1.240057+0.047508
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## [452] train-mlogloss:0.004495+0.000017 test-mlogloss:1.240349+0.047604
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## [455] train-mlogloss:0.004479+0.000016 test-mlogloss:1.241362+0.047996
## [456] train-mlogloss:0.004474+0.000019 test-mlogloss:1.242188+0.047017
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## [484] train-mlogloss:0.004333+0.000019 test-mlogloss:1.244267+0.046869
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## [486] train-mlogloss:0.004323+0.000021 test-mlogloss:1.245054+0.048364
## [487] train-mlogloss:0.004318+0.000021 test-mlogloss:1.246078+0.047934
## [488] train-mlogloss:0.004314+0.000023 test-mlogloss:1.246262+0.047407
## [489] train-mlogloss:0.004311+0.000023 test-mlogloss:1.246817+0.048646
## [490] train-mlogloss:0.004306+0.000022 test-mlogloss:1.246854+0.048503
## [491] train-mlogloss:0.004303+0.000020 test-mlogloss:1.246608+0.049114
## [492] train-mlogloss:0.004296+0.000024 test-mlogloss:1.246833+0.048265
## [493] train-mlogloss:0.004289+0.000022 test-mlogloss:1.246568+0.048626
## [494] train-mlogloss:0.004286+0.000022 test-mlogloss:1.247034+0.049015
## [495] train-mlogloss:0.004283+0.000024 test-mlogloss:1.247767+0.049069
## [496] train-mlogloss:0.004276+0.000024 test-mlogloss:1.247702+0.048367
## [497] train-mlogloss:0.004272+0.000022 test-mlogloss:1.247744+0.048021
## [498] train-mlogloss:0.004267+0.000023 test-mlogloss:1.248599+0.048348
## [499] train-mlogloss:0.004261+0.000022 test-mlogloss:1.248995+0.047681
## [500] train-mlogloss:0.004258+0.000021 test-mlogloss:1.248471+0.047978
## [1] train-mlogloss:0.614215+0.000656 test-mlogloss:0.621485+0.001901
## [2] train-mlogloss:0.569883+0.000730 test-mlogloss:0.583675+0.002852
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## [5] train-mlogloss:0.511973+0.001050 test-mlogloss:0.543730+0.003638
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## [7] train-mlogloss:0.495900+0.001089 test-mlogloss:0.537376+0.004582
## [8] train-mlogloss:0.490304+0.001426 test-mlogloss:0.535789+0.004275
## [9] train-mlogloss:0.485080+0.001577 test-mlogloss:0.535554+0.004675
## [10] train-mlogloss:0.481183+0.001906 test-mlogloss:0.535402+0.005106
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## [12] train-mlogloss:0.474367+0.001449 test-mlogloss:0.535914+0.004675
## [13] train-mlogloss:0.471583+0.001855 test-mlogloss:0.535856+0.005037
## [14] train-mlogloss:0.468892+0.002267 test-mlogloss:0.536459+0.004922
## [15] train-mlogloss:0.466082+0.001758 test-mlogloss:0.536779+0.005013
## [16] train-mlogloss:0.463373+0.002124 test-mlogloss:0.536669+0.004901
## [17] train-mlogloss:0.459970+0.001945 test-mlogloss:0.537027+0.004631
## [18] train-mlogloss:0.456300+0.001493 test-mlogloss:0.537749+0.005289
## [19] train-mlogloss:0.453695+0.002058 test-mlogloss:0.538164+0.005388
## [20] train-mlogloss:0.450308+0.001997 test-mlogloss:0.538601+0.005762
## [21] train-mlogloss:0.447282+0.002015 test-mlogloss:0.539548+0.005763
## [22] train-mlogloss:0.444964+0.002164 test-mlogloss:0.539521+0.005933
## [23] train-mlogloss:0.441988+0.002016 test-mlogloss:0.540168+0.006307
## [24] train-mlogloss:0.439546+0.002012 test-mlogloss:0.540528+0.006083
## [25] train-mlogloss:0.437485+0.002184 test-mlogloss:0.540913+0.005867
## [26] train-mlogloss:0.434190+0.002219 test-mlogloss:0.541454+0.006366
## [27] train-mlogloss:0.431750+0.002899 test-mlogloss:0.541697+0.006559
## [28] train-mlogloss:0.430085+0.003003 test-mlogloss:0.541901+0.005836
## [29] train-mlogloss:0.427648+0.003075 test-mlogloss:0.542716+0.005727
## [30] train-mlogloss:0.425229+0.003638 test-mlogloss:0.543290+0.006396
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## [32] train-mlogloss:0.420405+0.003692 test-mlogloss:0.544238+0.006693
## [33] train-mlogloss:0.417995+0.003311 test-mlogloss:0.544730+0.006762
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## [35] train-mlogloss:0.413391+0.002869 test-mlogloss:0.545571+0.005743
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## [37] train-mlogloss:0.408140+0.003503 test-mlogloss:0.546656+0.006479
## [38] train-mlogloss:0.406352+0.003283 test-mlogloss:0.546969+0.005814
## [39] train-mlogloss:0.404163+0.003652 test-mlogloss:0.547415+0.005995
## [40] train-mlogloss:0.401589+0.003641 test-mlogloss:0.547985+0.006582
## [41] train-mlogloss:0.399380+0.003591 test-mlogloss:0.548760+0.006636
## [42] train-mlogloss:0.396688+0.003652 test-mlogloss:0.549211+0.006390
## [43] train-mlogloss:0.394019+0.003911 test-mlogloss:0.549501+0.006552
## [44] train-mlogloss:0.391380+0.004323 test-mlogloss:0.550185+0.006270
## [45] train-mlogloss:0.389107+0.004238 test-mlogloss:0.551088+0.006222
## [46] train-mlogloss:0.387295+0.004442 test-mlogloss:0.551359+0.005854
## [47] train-mlogloss:0.384641+0.004354 test-mlogloss:0.551870+0.005235
## [48] train-mlogloss:0.381975+0.004335 test-mlogloss:0.552721+0.005266
## [49] train-mlogloss:0.379996+0.004523 test-mlogloss:0.553283+0.005541
## [50] train-mlogloss:0.378281+0.004643 test-mlogloss:0.553659+0.005481
## [51] train-mlogloss:0.375885+0.004659 test-mlogloss:0.554441+0.005331
## [52] train-mlogloss:0.373921+0.004815 test-mlogloss:0.554837+0.005290
## [53] train-mlogloss:0.371939+0.004704 test-mlogloss:0.554874+0.005672
## [54] train-mlogloss:0.369777+0.004876 test-mlogloss:0.555721+0.005766
## [55] train-mlogloss:0.367780+0.005007 test-mlogloss:0.556741+0.005709
## [56] train-mlogloss:0.365671+0.005005 test-mlogloss:0.556996+0.006312
## [57] train-mlogloss:0.363769+0.005284 test-mlogloss:0.557237+0.006236
## [58] train-mlogloss:0.361854+0.004855 test-mlogloss:0.557918+0.006208
## [59] train-mlogloss:0.359879+0.004829 test-mlogloss:0.557975+0.006206
## [60] train-mlogloss:0.357856+0.004881 test-mlogloss:0.558270+0.006432
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## [62] train-mlogloss:0.353816+0.004938 test-mlogloss:0.559593+0.007008
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## [64] train-mlogloss:0.349271+0.004756 test-mlogloss:0.559884+0.006841
## [65] train-mlogloss:0.347430+0.004825 test-mlogloss:0.560436+0.006559
## [66] train-mlogloss:0.344942+0.004628 test-mlogloss:0.561229+0.006719
## [67] train-mlogloss:0.343352+0.004521 test-mlogloss:0.561652+0.006688
## [68] train-mlogloss:0.341392+0.004163 test-mlogloss:0.562094+0.006923
## [69] train-mlogloss:0.339542+0.004317 test-mlogloss:0.562738+0.007036
## [70] train-mlogloss:0.337829+0.004379 test-mlogloss:0.562778+0.007332
## [71] train-mlogloss:0.336196+0.004682 test-mlogloss:0.563247+0.007571
## [72] train-mlogloss:0.334462+0.004680 test-mlogloss:0.563852+0.007371
## [73] train-mlogloss:0.332512+0.004598 test-mlogloss:0.564217+0.007513
## [74] train-mlogloss:0.330554+0.004447 test-mlogloss:0.564601+0.007299
## [75] train-mlogloss:0.328531+0.004444 test-mlogloss:0.564961+0.006951
## [76] train-mlogloss:0.326359+0.004687 test-mlogloss:0.565328+0.007097
## [77] train-mlogloss:0.324474+0.004641 test-mlogloss:0.566057+0.007089
## [78] train-mlogloss:0.322327+0.004680 test-mlogloss:0.566361+0.007123
## [79] train-mlogloss:0.320420+0.005223 test-mlogloss:0.567201+0.007441
## [80] train-mlogloss:0.318199+0.005173 test-mlogloss:0.567904+0.007403
## [81] train-mlogloss:0.316482+0.005390 test-mlogloss:0.568505+0.007713
## [82] train-mlogloss:0.315031+0.005249 test-mlogloss:0.568995+0.008186
## [83] train-mlogloss:0.313221+0.005453 test-mlogloss:0.569576+0.007749
## [84] train-mlogloss:0.311872+0.005250 test-mlogloss:0.569922+0.008241
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## [91] train-mlogloss:0.300674+0.005305 test-mlogloss:0.573437+0.008133
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## [93] train-mlogloss:0.297486+0.005368 test-mlogloss:0.574092+0.007712
## [94] train-mlogloss:0.295856+0.005480 test-mlogloss:0.574794+0.007540
## [95] train-mlogloss:0.294613+0.005383 test-mlogloss:0.575266+0.007667
## [96] train-mlogloss:0.292965+0.005351 test-mlogloss:0.575014+0.007634
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## [99] train-mlogloss:0.288045+0.005113 test-mlogloss:0.576043+0.007482
## [100] train-mlogloss:0.286419+0.004726 test-mlogloss:0.576982+0.006997
## [101] train-mlogloss:0.284749+0.004690 test-mlogloss:0.577823+0.007136
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## [110] train-mlogloss:0.271212+0.005561 test-mlogloss:0.582628+0.007263
## [111] train-mlogloss:0.269745+0.005915 test-mlogloss:0.583078+0.007426
## [112] train-mlogloss:0.268307+0.005875 test-mlogloss:0.583545+0.007118
## [113] train-mlogloss:0.266874+0.005818 test-mlogloss:0.583894+0.007126
## [114] train-mlogloss:0.265494+0.005560 test-mlogloss:0.584179+0.007545
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## [116] train-mlogloss:0.262851+0.005516 test-mlogloss:0.585458+0.007269
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## [118] train-mlogloss:0.259812+0.005448 test-mlogloss:0.585929+0.007757
## [119] train-mlogloss:0.258396+0.005347 test-mlogloss:0.586609+0.007777
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## [139] train-mlogloss:0.232544+0.004918 test-mlogloss:0.598172+0.007072
## [140] train-mlogloss:0.231360+0.004869 test-mlogloss:0.598535+0.007416
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## [164] train-mlogloss:0.203938+0.004749 test-mlogloss:0.610908+0.008888
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## [166] train-mlogloss:0.201467+0.004775 test-mlogloss:0.611832+0.008787
## [167] train-mlogloss:0.200546+0.004665 test-mlogloss:0.612393+0.008951
## [168] train-mlogloss:0.199483+0.004436 test-mlogloss:0.613227+0.008541
## [169] train-mlogloss:0.198479+0.004653 test-mlogloss:0.614037+0.008656
## [170] train-mlogloss:0.197475+0.004634 test-mlogloss:0.614228+0.008954
## [171] train-mlogloss:0.196522+0.004342 test-mlogloss:0.614819+0.008935
## [172] train-mlogloss:0.195646+0.004080 test-mlogloss:0.615441+0.008756
## [173] train-mlogloss:0.194594+0.004099 test-mlogloss:0.616033+0.008585
## [174] train-mlogloss:0.193549+0.004041 test-mlogloss:0.616405+0.009211
## [175] train-mlogloss:0.192761+0.004127 test-mlogloss:0.617341+0.009349
## [176] train-mlogloss:0.191572+0.004331 test-mlogloss:0.617646+0.009476
## [177] train-mlogloss:0.190591+0.004370 test-mlogloss:0.618182+0.009708
## [178] train-mlogloss:0.189710+0.004408 test-mlogloss:0.618783+0.010279
## [179] train-mlogloss:0.188702+0.004316 test-mlogloss:0.619371+0.009888
## [180] train-mlogloss:0.187828+0.004377 test-mlogloss:0.620167+0.009692
## [181] train-mlogloss:0.186827+0.004406 test-mlogloss:0.620524+0.009755
## [182] train-mlogloss:0.186063+0.004382 test-mlogloss:0.621107+0.009624
## [183] train-mlogloss:0.184950+0.004220 test-mlogloss:0.621926+0.009525
## [184] train-mlogloss:0.184162+0.004530 test-mlogloss:0.621986+0.010172
## [185] train-mlogloss:0.183218+0.004537 test-mlogloss:0.623221+0.010237
## [186] train-mlogloss:0.182344+0.004539 test-mlogloss:0.623763+0.010668
## [187] train-mlogloss:0.181444+0.004538 test-mlogloss:0.624608+0.010829
## [188] train-mlogloss:0.180611+0.004413 test-mlogloss:0.625186+0.010600
## [189] train-mlogloss:0.179609+0.004323 test-mlogloss:0.626236+0.010770
## [190] train-mlogloss:0.178748+0.004238 test-mlogloss:0.626500+0.010592
## [191] train-mlogloss:0.177934+0.004174 test-mlogloss:0.626983+0.010402
## [192] train-mlogloss:0.177003+0.004072 test-mlogloss:0.627298+0.010730
## [193] train-mlogloss:0.176003+0.004177 test-mlogloss:0.627827+0.010671
## [194] train-mlogloss:0.175084+0.004181 test-mlogloss:0.628141+0.010484
## [195] train-mlogloss:0.174276+0.004071 test-mlogloss:0.628602+0.011058
## [196] train-mlogloss:0.173368+0.004022 test-mlogloss:0.629163+0.011109
## [197] train-mlogloss:0.172526+0.003965 test-mlogloss:0.629744+0.010633
## [198] train-mlogloss:0.171498+0.004258 test-mlogloss:0.630710+0.010945
## [199] train-mlogloss:0.170670+0.004238 test-mlogloss:0.631947+0.010792
## [200] train-mlogloss:0.169822+0.004328 test-mlogloss:0.632159+0.011058
## [201] train-mlogloss:0.169043+0.004392 test-mlogloss:0.632843+0.011347
## [202] train-mlogloss:0.168274+0.004450 test-mlogloss:0.633213+0.011520
## [203] train-mlogloss:0.167374+0.004521 test-mlogloss:0.634000+0.012044
## [204] train-mlogloss:0.166530+0.004623 test-mlogloss:0.634647+0.012088
## [205] train-mlogloss:0.165610+0.004604 test-mlogloss:0.635288+0.012157
## [206] train-mlogloss:0.164878+0.004623 test-mlogloss:0.635727+0.012302
## [207] train-mlogloss:0.164130+0.004616 test-mlogloss:0.636166+0.012492
## [208] train-mlogloss:0.163221+0.004416 test-mlogloss:0.636946+0.012686
## [209] train-mlogloss:0.162226+0.004343 test-mlogloss:0.637282+0.012337
## [210] train-mlogloss:0.161300+0.004203 test-mlogloss:0.638233+0.012267
## [211] train-mlogloss:0.160617+0.004185 test-mlogloss:0.638276+0.011940
## [212] train-mlogloss:0.159939+0.004346 test-mlogloss:0.638939+0.011772
## [213] train-mlogloss:0.159101+0.004382 test-mlogloss:0.639564+0.011690
## [214] train-mlogloss:0.158498+0.004384 test-mlogloss:0.639943+0.011555
## [215] train-mlogloss:0.157617+0.004350 test-mlogloss:0.640367+0.011606
## [216] train-mlogloss:0.156949+0.004385 test-mlogloss:0.640776+0.011525
## [217] train-mlogloss:0.156178+0.004221 test-mlogloss:0.640885+0.011582
## [218] train-mlogloss:0.155334+0.004166 test-mlogloss:0.641379+0.011534
## [219] train-mlogloss:0.154520+0.004147 test-mlogloss:0.641910+0.011334
## [220] train-mlogloss:0.153579+0.004113 test-mlogloss:0.642080+0.011691
## [221] train-mlogloss:0.152857+0.004005 test-mlogloss:0.642309+0.011722
## [222] train-mlogloss:0.152233+0.003956 test-mlogloss:0.642654+0.011834
## [223] train-mlogloss:0.151542+0.003800 test-mlogloss:0.643452+0.011892
## [224] train-mlogloss:0.150873+0.003889 test-mlogloss:0.643956+0.012325
## [225] train-mlogloss:0.150090+0.003865 test-mlogloss:0.644411+0.012082
## [226] train-mlogloss:0.149259+0.003907 test-mlogloss:0.644808+0.011987
## [227] train-mlogloss:0.148711+0.003926 test-mlogloss:0.645251+0.012457
## [228] train-mlogloss:0.148055+0.003940 test-mlogloss:0.645597+0.012196
## [229] train-mlogloss:0.147303+0.003904 test-mlogloss:0.646427+0.012047
## [230] train-mlogloss:0.146491+0.003804 test-mlogloss:0.646674+0.011822
## [231] train-mlogloss:0.145733+0.003903 test-mlogloss:0.647509+0.011887
## [232] train-mlogloss:0.145059+0.003889 test-mlogloss:0.648247+0.011747
## [233] train-mlogloss:0.144479+0.003849 test-mlogloss:0.648978+0.012083
## [234] train-mlogloss:0.143804+0.003854 test-mlogloss:0.649718+0.012551
## [235] train-mlogloss:0.143080+0.003813 test-mlogloss:0.650089+0.012251
## [236] train-mlogloss:0.142456+0.003812 test-mlogloss:0.650725+0.012441
## [237] train-mlogloss:0.141834+0.003640 test-mlogloss:0.651331+0.012493
## [238] train-mlogloss:0.141087+0.003600 test-mlogloss:0.651540+0.013036
## [239] train-mlogloss:0.140284+0.003458 test-mlogloss:0.652478+0.013011
## [240] train-mlogloss:0.139564+0.003463 test-mlogloss:0.653208+0.013169
## [241] train-mlogloss:0.138878+0.003550 test-mlogloss:0.653980+0.013327
## [242] train-mlogloss:0.138204+0.003580 test-mlogloss:0.654521+0.013495
## [243] train-mlogloss:0.137478+0.003528 test-mlogloss:0.654994+0.013082
## [244] train-mlogloss:0.136893+0.003565 test-mlogloss:0.655861+0.013275
## [245] train-mlogloss:0.136093+0.003645 test-mlogloss:0.656879+0.013345
## [246] train-mlogloss:0.135420+0.003681 test-mlogloss:0.657577+0.013306
## [247] train-mlogloss:0.134792+0.003648 test-mlogloss:0.657460+0.013095
## [248] train-mlogloss:0.134024+0.003639 test-mlogloss:0.657623+0.013420
## [249] train-mlogloss:0.133348+0.003583 test-mlogloss:0.657871+0.013880
## [250] train-mlogloss:0.132517+0.003469 test-mlogloss:0.658303+0.014293
## [251] train-mlogloss:0.131890+0.003442 test-mlogloss:0.658860+0.014666
## [252] train-mlogloss:0.131280+0.003396 test-mlogloss:0.659778+0.014891
## [253] train-mlogloss:0.130739+0.003303 test-mlogloss:0.660345+0.014502
## [254] train-mlogloss:0.130096+0.003359 test-mlogloss:0.661053+0.014403
## [255] train-mlogloss:0.129296+0.003392 test-mlogloss:0.661771+0.014804
## [256] train-mlogloss:0.128691+0.003347 test-mlogloss:0.662253+0.015132
## [257] train-mlogloss:0.128096+0.003456 test-mlogloss:0.662588+0.015217
## [258] train-mlogloss:0.127545+0.003406 test-mlogloss:0.663036+0.015111
## [259] train-mlogloss:0.127043+0.003375 test-mlogloss:0.663378+0.014787
## [260] train-mlogloss:0.126449+0.003300 test-mlogloss:0.664046+0.014716
## [261] train-mlogloss:0.125709+0.003249 test-mlogloss:0.664967+0.015000
## [262] train-mlogloss:0.125116+0.003299 test-mlogloss:0.665692+0.014919
## [263] train-mlogloss:0.124560+0.003289 test-mlogloss:0.666375+0.014732
## [264] train-mlogloss:0.123917+0.003326 test-mlogloss:0.667195+0.014489
## [265] train-mlogloss:0.123286+0.003301 test-mlogloss:0.667682+0.014506
## [266] train-mlogloss:0.122687+0.003378 test-mlogloss:0.668670+0.014666
## [267] train-mlogloss:0.122174+0.003467 test-mlogloss:0.669242+0.014630
## [268] train-mlogloss:0.121614+0.003525 test-mlogloss:0.669787+0.014472
## [269] train-mlogloss:0.120965+0.003597 test-mlogloss:0.669982+0.014549
## [270] train-mlogloss:0.120454+0.003602 test-mlogloss:0.670306+0.014568
## [271] train-mlogloss:0.119980+0.003567 test-mlogloss:0.670864+0.013935
## [272] train-mlogloss:0.119415+0.003670 test-mlogloss:0.671683+0.014147
## [273] train-mlogloss:0.118775+0.003684 test-mlogloss:0.672172+0.014516
## [274] train-mlogloss:0.118112+0.003702 test-mlogloss:0.672816+0.014854
## [275] train-mlogloss:0.117687+0.003710 test-mlogloss:0.673475+0.015015
## [276] train-mlogloss:0.117189+0.003696 test-mlogloss:0.673726+0.014921
## [277] train-mlogloss:0.116745+0.003782 test-mlogloss:0.674297+0.014611
## [278] train-mlogloss:0.116360+0.003740 test-mlogloss:0.674912+0.015009
## [279] train-mlogloss:0.115814+0.003695 test-mlogloss:0.675383+0.014998
## [280] train-mlogloss:0.115234+0.003630 test-mlogloss:0.675736+0.014963
## [281] train-mlogloss:0.114795+0.003553 test-mlogloss:0.676349+0.014740
## [282] train-mlogloss:0.114243+0.003491 test-mlogloss:0.676923+0.014884
## [283] train-mlogloss:0.113792+0.003425 test-mlogloss:0.677464+0.014814
## [284] train-mlogloss:0.113232+0.003453 test-mlogloss:0.678159+0.014633
## [285] train-mlogloss:0.112810+0.003517 test-mlogloss:0.678877+0.014831
## [286] train-mlogloss:0.112232+0.003530 test-mlogloss:0.679782+0.014844
## [287] train-mlogloss:0.111635+0.003448 test-mlogloss:0.680606+0.014766
## [288] train-mlogloss:0.111085+0.003389 test-mlogloss:0.680989+0.014258
## [289] train-mlogloss:0.110585+0.003319 test-mlogloss:0.681557+0.014423
## [290] train-mlogloss:0.110095+0.003221 test-mlogloss:0.682028+0.014239
## [291] train-mlogloss:0.109553+0.003260 test-mlogloss:0.682539+0.014186
## [292] train-mlogloss:0.109046+0.003152 test-mlogloss:0.683008+0.013939
## [293] train-mlogloss:0.108527+0.003104 test-mlogloss:0.683420+0.013703
## [294] train-mlogloss:0.108059+0.003051 test-mlogloss:0.684042+0.013783
## [295] train-mlogloss:0.107578+0.003041 test-mlogloss:0.684445+0.013734
## [296] train-mlogloss:0.107106+0.003021 test-mlogloss:0.685022+0.013662
## [297] train-mlogloss:0.106562+0.003044 test-mlogloss:0.685499+0.013440
## [298] train-mlogloss:0.106124+0.003061 test-mlogloss:0.686297+0.013379
## [299] train-mlogloss:0.105722+0.003055 test-mlogloss:0.686772+0.013284
## [300] train-mlogloss:0.105227+0.003155 test-mlogloss:0.687303+0.013342
## [301] train-mlogloss:0.104668+0.003060 test-mlogloss:0.687669+0.013351
## [302] train-mlogloss:0.104258+0.002951 test-mlogloss:0.688254+0.013279
## [303] train-mlogloss:0.103794+0.002914 test-mlogloss:0.689187+0.012956
## [304] train-mlogloss:0.103328+0.002788 test-mlogloss:0.689944+0.012718
## [305] train-mlogloss:0.102858+0.002764 test-mlogloss:0.690288+0.012812
## [306] train-mlogloss:0.102396+0.002670 test-mlogloss:0.690632+0.012703
## [307] train-mlogloss:0.101934+0.002604 test-mlogloss:0.691061+0.013151
## [308] train-mlogloss:0.101548+0.002504 test-mlogloss:0.691839+0.013413
## [309] train-mlogloss:0.101117+0.002626 test-mlogloss:0.692506+0.013464
## [310] train-mlogloss:0.100685+0.002586 test-mlogloss:0.692833+0.013493
## [311] train-mlogloss:0.100153+0.002600 test-mlogloss:0.693637+0.013528
## [312] train-mlogloss:0.099735+0.002629 test-mlogloss:0.694120+0.013916
## [313] train-mlogloss:0.099341+0.002585 test-mlogloss:0.694514+0.014115
## [314] train-mlogloss:0.098881+0.002548 test-mlogloss:0.695175+0.013910
## [315] train-mlogloss:0.098478+0.002540 test-mlogloss:0.695802+0.013812
## [316] train-mlogloss:0.098082+0.002562 test-mlogloss:0.696095+0.014041
## [317] train-mlogloss:0.097703+0.002637 test-mlogloss:0.696613+0.014188
## [318] train-mlogloss:0.097244+0.002707 test-mlogloss:0.697148+0.014269
## [319] train-mlogloss:0.096873+0.002656 test-mlogloss:0.697838+0.014268
## [320] train-mlogloss:0.096577+0.002726 test-mlogloss:0.698431+0.014146
## [321] train-mlogloss:0.096100+0.002679 test-mlogloss:0.698918+0.014181
## [322] train-mlogloss:0.095719+0.002674 test-mlogloss:0.699665+0.014187
## [323] train-mlogloss:0.095368+0.002687 test-mlogloss:0.700282+0.014212
## [324] train-mlogloss:0.094904+0.002695 test-mlogloss:0.701400+0.013985
## [325] train-mlogloss:0.094549+0.002650 test-mlogloss:0.701769+0.014324
## [326] train-mlogloss:0.094131+0.002570 test-mlogloss:0.702460+0.014659
## [327] train-mlogloss:0.093829+0.002487 test-mlogloss:0.702936+0.014625
## [328] train-mlogloss:0.093411+0.002463 test-mlogloss:0.703682+0.014718
## [329] train-mlogloss:0.092976+0.002427 test-mlogloss:0.704593+0.014584
## [330] train-mlogloss:0.092515+0.002409 test-mlogloss:0.705047+0.014235
## [331] train-mlogloss:0.092115+0.002391 test-mlogloss:0.705714+0.014185
## [332] train-mlogloss:0.091733+0.002311 test-mlogloss:0.706120+0.014114
## [333] train-mlogloss:0.091337+0.002296 test-mlogloss:0.706402+0.014150
## [334] train-mlogloss:0.090937+0.002299 test-mlogloss:0.706894+0.013952
## [335] train-mlogloss:0.090515+0.002332 test-mlogloss:0.707518+0.014027
## [336] train-mlogloss:0.090086+0.002279 test-mlogloss:0.708552+0.014321
## [337] train-mlogloss:0.089777+0.002320 test-mlogloss:0.709111+0.014486
## [338] train-mlogloss:0.089340+0.002303 test-mlogloss:0.709732+0.014556
## [339] train-mlogloss:0.088953+0.002305 test-mlogloss:0.710513+0.014605
## [340] train-mlogloss:0.088621+0.002259 test-mlogloss:0.711282+0.014544
## [341] train-mlogloss:0.088260+0.002237 test-mlogloss:0.711745+0.014813
## [342] train-mlogloss:0.087895+0.002200 test-mlogloss:0.712124+0.014631
## [343] train-mlogloss:0.087482+0.002184 test-mlogloss:0.712817+0.014305
## [344] train-mlogloss:0.087119+0.002197 test-mlogloss:0.712823+0.014637
## [345] train-mlogloss:0.086744+0.002137 test-mlogloss:0.713339+0.014877
## [346] train-mlogloss:0.086361+0.002125 test-mlogloss:0.713713+0.014954
## [347] train-mlogloss:0.085981+0.002139 test-mlogloss:0.714416+0.015354
## [348] train-mlogloss:0.085636+0.002070 test-mlogloss:0.715268+0.015130
## [349] train-mlogloss:0.085276+0.002020 test-mlogloss:0.715701+0.014893
## [350] train-mlogloss:0.084927+0.001998 test-mlogloss:0.716055+0.014872
## [351] train-mlogloss:0.084653+0.001976 test-mlogloss:0.716584+0.014832
## [352] train-mlogloss:0.084297+0.002006 test-mlogloss:0.717327+0.015158
## [353] train-mlogloss:0.083851+0.002025 test-mlogloss:0.718321+0.015102
## [354] train-mlogloss:0.083536+0.001943 test-mlogloss:0.718777+0.015035
## [355] train-mlogloss:0.083169+0.001921 test-mlogloss:0.719390+0.015021
## [356] train-mlogloss:0.082820+0.001872 test-mlogloss:0.720020+0.015155
## [357] train-mlogloss:0.082533+0.001859 test-mlogloss:0.720187+0.015458
## [358] train-mlogloss:0.082149+0.001911 test-mlogloss:0.720742+0.015571
## [359] train-mlogloss:0.081750+0.001853 test-mlogloss:0.721627+0.015899
## [360] train-mlogloss:0.081437+0.001880 test-mlogloss:0.722068+0.015619
## [361] train-mlogloss:0.081107+0.001928 test-mlogloss:0.722489+0.015211
## [362] train-mlogloss:0.080711+0.001941 test-mlogloss:0.723395+0.015238
## [363] train-mlogloss:0.080409+0.001885 test-mlogloss:0.723962+0.014858
## [364] train-mlogloss:0.080020+0.001935 test-mlogloss:0.724669+0.014490
## [365] train-mlogloss:0.079651+0.001890 test-mlogloss:0.724844+0.014820
## [366] train-mlogloss:0.079309+0.001855 test-mlogloss:0.725774+0.014837
## [367] train-mlogloss:0.079004+0.001867 test-mlogloss:0.726502+0.015429
## [368] train-mlogloss:0.078795+0.001856 test-mlogloss:0.726897+0.015595
## [369] train-mlogloss:0.078488+0.001845 test-mlogloss:0.727511+0.016067
## [370] train-mlogloss:0.078232+0.001831 test-mlogloss:0.727749+0.016122
## [371] train-mlogloss:0.077821+0.001814 test-mlogloss:0.728491+0.016185
## [372] train-mlogloss:0.077527+0.001790 test-mlogloss:0.728491+0.016087
## [373] train-mlogloss:0.077180+0.001788 test-mlogloss:0.729143+0.015949
## [374] train-mlogloss:0.076823+0.001820 test-mlogloss:0.729650+0.015873
## [375] train-mlogloss:0.076550+0.001743 test-mlogloss:0.730155+0.015769
## [376] train-mlogloss:0.076238+0.001812 test-mlogloss:0.730706+0.015939
## [377] train-mlogloss:0.075971+0.001841 test-mlogloss:0.731371+0.016247
## [378] train-mlogloss:0.075620+0.001853 test-mlogloss:0.732100+0.016240
## [379] train-mlogloss:0.075319+0.001813 test-mlogloss:0.732500+0.016219
## [380] train-mlogloss:0.074959+0.001835 test-mlogloss:0.733079+0.016556
## [381] train-mlogloss:0.074678+0.001857 test-mlogloss:0.733711+0.016831
## [382] train-mlogloss:0.074376+0.001798 test-mlogloss:0.734451+0.016841
## [383] train-mlogloss:0.074013+0.001750 test-mlogloss:0.735048+0.016501
## [384] train-mlogloss:0.073650+0.001726 test-mlogloss:0.735350+0.016428
## [385] train-mlogloss:0.073294+0.001761 test-mlogloss:0.735577+0.016763
## [386] train-mlogloss:0.073059+0.001728 test-mlogloss:0.736229+0.016650
## [387] train-mlogloss:0.072723+0.001712 test-mlogloss:0.737133+0.016637
## [388] train-mlogloss:0.072415+0.001774 test-mlogloss:0.737954+0.016652
## [389] train-mlogloss:0.072081+0.001738 test-mlogloss:0.738691+0.016504
## [390] train-mlogloss:0.071859+0.001729 test-mlogloss:0.739050+0.016299
## [391] train-mlogloss:0.071567+0.001770 test-mlogloss:0.739356+0.016489
## [392] train-mlogloss:0.071275+0.001812 test-mlogloss:0.739659+0.016486
## [393] train-mlogloss:0.070999+0.001759 test-mlogloss:0.740174+0.016629
## [394] train-mlogloss:0.070757+0.001794 test-mlogloss:0.740476+0.016855
## [395] train-mlogloss:0.070495+0.001787 test-mlogloss:0.741016+0.016809
## [396] train-mlogloss:0.070213+0.001788 test-mlogloss:0.741510+0.017071
## [397] train-mlogloss:0.069981+0.001769 test-mlogloss:0.741650+0.016803
## [398] train-mlogloss:0.069715+0.001742 test-mlogloss:0.741973+0.016518
## [399] train-mlogloss:0.069371+0.001721 test-mlogloss:0.742603+0.016200
## [400] train-mlogloss:0.069048+0.001623 test-mlogloss:0.743226+0.016260
## [401] train-mlogloss:0.068808+0.001593 test-mlogloss:0.743625+0.016265
## [402] train-mlogloss:0.068533+0.001522 test-mlogloss:0.743900+0.016189
## [403] train-mlogloss:0.068260+0.001515 test-mlogloss:0.744486+0.016254
## [404] train-mlogloss:0.067984+0.001502 test-mlogloss:0.745134+0.016363
## [405] train-mlogloss:0.067759+0.001479 test-mlogloss:0.745643+0.016341
## [406] train-mlogloss:0.067532+0.001477 test-mlogloss:0.746067+0.016199
## [407] train-mlogloss:0.067289+0.001506 test-mlogloss:0.746735+0.016157
## [408] train-mlogloss:0.067024+0.001564 test-mlogloss:0.747131+0.016633
## [409] train-mlogloss:0.066792+0.001573 test-mlogloss:0.747643+0.016881
## [410] train-mlogloss:0.066568+0.001586 test-mlogloss:0.748126+0.016955
## [411] train-mlogloss:0.066331+0.001538 test-mlogloss:0.748545+0.016971
## [412] train-mlogloss:0.066047+0.001488 test-mlogloss:0.749011+0.016952
## [413] train-mlogloss:0.065826+0.001498 test-mlogloss:0.749338+0.017294
## [414] train-mlogloss:0.065586+0.001490 test-mlogloss:0.749890+0.017176
## [415] train-mlogloss:0.065328+0.001483 test-mlogloss:0.750390+0.017491
## [416] train-mlogloss:0.065094+0.001443 test-mlogloss:0.750795+0.017547
## [417] train-mlogloss:0.064888+0.001452 test-mlogloss:0.751409+0.017369
## [418] train-mlogloss:0.064598+0.001416 test-mlogloss:0.752033+0.017732
## [419] train-mlogloss:0.064339+0.001435 test-mlogloss:0.752772+0.017703
## [420] train-mlogloss:0.064058+0.001413 test-mlogloss:0.752975+0.017565
## [421] train-mlogloss:0.063873+0.001416 test-mlogloss:0.753411+0.017467
## [422] train-mlogloss:0.063603+0.001376 test-mlogloss:0.753915+0.017674
## [423] train-mlogloss:0.063322+0.001381 test-mlogloss:0.754681+0.017886
## [424] train-mlogloss:0.063072+0.001367 test-mlogloss:0.755049+0.018036
## [425] train-mlogloss:0.062897+0.001337 test-mlogloss:0.755427+0.018091
## [426] train-mlogloss:0.062699+0.001374 test-mlogloss:0.755879+0.018294
## [427] train-mlogloss:0.062461+0.001381 test-mlogloss:0.756526+0.018149
## [428] train-mlogloss:0.062264+0.001330 test-mlogloss:0.756963+0.018158
## [429] train-mlogloss:0.062028+0.001305 test-mlogloss:0.757452+0.018083
## [430] train-mlogloss:0.061811+0.001323 test-mlogloss:0.757869+0.017888
## [431] train-mlogloss:0.061569+0.001297 test-mlogloss:0.758453+0.017874
## [432] train-mlogloss:0.061305+0.001286 test-mlogloss:0.758754+0.017813
## [433] train-mlogloss:0.061066+0.001305 test-mlogloss:0.759345+0.017808
## [434] train-mlogloss:0.060802+0.001312 test-mlogloss:0.759694+0.017743
## [435] train-mlogloss:0.060568+0.001287 test-mlogloss:0.759909+0.017823
## [436] train-mlogloss:0.060332+0.001253 test-mlogloss:0.760277+0.017485
## [437] train-mlogloss:0.060138+0.001228 test-mlogloss:0.760728+0.017505
## [438] train-mlogloss:0.059915+0.001234 test-mlogloss:0.761433+0.017541
## [439] train-mlogloss:0.059699+0.001217 test-mlogloss:0.762034+0.017215
## [440] train-mlogloss:0.059516+0.001186 test-mlogloss:0.762616+0.017074
## [441] train-mlogloss:0.059348+0.001209 test-mlogloss:0.763072+0.016909
## [442] train-mlogloss:0.059138+0.001281 test-mlogloss:0.763610+0.017085
## [443] train-mlogloss:0.058934+0.001299 test-mlogloss:0.764117+0.017054
## [444] train-mlogloss:0.058706+0.001328 test-mlogloss:0.764703+0.016767
## [445] train-mlogloss:0.058507+0.001363 test-mlogloss:0.765143+0.016815
## [446] train-mlogloss:0.058297+0.001379 test-mlogloss:0.765632+0.016775
## [447] train-mlogloss:0.058009+0.001341 test-mlogloss:0.765967+0.016686
## [448] train-mlogloss:0.057819+0.001393 test-mlogloss:0.766456+0.016626
## [449] train-mlogloss:0.057600+0.001419 test-mlogloss:0.766613+0.016478
## [450] train-mlogloss:0.057361+0.001449 test-mlogloss:0.767208+0.016614
## [451] train-mlogloss:0.057176+0.001462 test-mlogloss:0.767977+0.016742
## [452] train-mlogloss:0.056949+0.001446 test-mlogloss:0.768697+0.016487
## [453] train-mlogloss:0.056768+0.001428 test-mlogloss:0.769258+0.016658
## [454] train-mlogloss:0.056555+0.001377 test-mlogloss:0.770053+0.016273
## [455] train-mlogloss:0.056320+0.001329 test-mlogloss:0.770410+0.016209
## [456] train-mlogloss:0.056103+0.001282 test-mlogloss:0.770953+0.016380
## [457] train-mlogloss:0.055919+0.001263 test-mlogloss:0.771666+0.016085
## [458] train-mlogloss:0.055681+0.001215 test-mlogloss:0.771851+0.016054
## [459] train-mlogloss:0.055503+0.001226 test-mlogloss:0.772608+0.016167
## [460] train-mlogloss:0.055349+0.001191 test-mlogloss:0.772999+0.016142
## [461] train-mlogloss:0.055192+0.001174 test-mlogloss:0.773096+0.016229
## [462] train-mlogloss:0.054944+0.001180 test-mlogloss:0.773804+0.016145
## [463] train-mlogloss:0.054750+0.001164 test-mlogloss:0.774308+0.016221
## [464] train-mlogloss:0.054562+0.001151 test-mlogloss:0.774715+0.016378
## [465] train-mlogloss:0.054401+0.001130 test-mlogloss:0.775393+0.016361
## [466] train-mlogloss:0.054213+0.001157 test-mlogloss:0.775554+0.016359
## [467] train-mlogloss:0.054041+0.001127 test-mlogloss:0.775640+0.016580
## [468] train-mlogloss:0.053810+0.001124 test-mlogloss:0.776327+0.016519
## [469] train-mlogloss:0.053647+0.001140 test-mlogloss:0.776815+0.016740
## [470] train-mlogloss:0.053496+0.001122 test-mlogloss:0.777058+0.016779
## [471] train-mlogloss:0.053337+0.001163 test-mlogloss:0.777475+0.016826
## [472] train-mlogloss:0.053154+0.001140 test-mlogloss:0.777878+0.016771
## [473] train-mlogloss:0.053000+0.001147 test-mlogloss:0.778292+0.016945
## [474] train-mlogloss:0.052835+0.001112 test-mlogloss:0.778848+0.017128
## [475] train-mlogloss:0.052630+0.001094 test-mlogloss:0.779429+0.017150
## [476] train-mlogloss:0.052445+0.001080 test-mlogloss:0.779739+0.016676
## [477] train-mlogloss:0.052263+0.001042 test-mlogloss:0.780138+0.016457
## [478] train-mlogloss:0.052093+0.001018 test-mlogloss:0.780941+0.016195
## [479] train-mlogloss:0.051945+0.001014 test-mlogloss:0.781568+0.016268
## [480] train-mlogloss:0.051726+0.000976 test-mlogloss:0.782390+0.016469
## [481] train-mlogloss:0.051555+0.001045 test-mlogloss:0.783156+0.016633
## [482] train-mlogloss:0.051381+0.001029 test-mlogloss:0.783511+0.016833
## [483] train-mlogloss:0.051196+0.001021 test-mlogloss:0.783947+0.016732
## [484] train-mlogloss:0.051030+0.001034 test-mlogloss:0.784261+0.016624
## [485] train-mlogloss:0.050853+0.001064 test-mlogloss:0.784639+0.016594
## [486] train-mlogloss:0.050702+0.001019 test-mlogloss:0.785382+0.016506
## [487] train-mlogloss:0.050507+0.000998 test-mlogloss:0.786361+0.016811
## [488] train-mlogloss:0.050303+0.000979 test-mlogloss:0.786754+0.016940
## [489] train-mlogloss:0.050084+0.000960 test-mlogloss:0.787277+0.016771
## [490] train-mlogloss:0.049890+0.001018 test-mlogloss:0.787289+0.016852
## [491] train-mlogloss:0.049692+0.001020 test-mlogloss:0.787838+0.016575
## [492] train-mlogloss:0.049560+0.001000 test-mlogloss:0.788168+0.016483
## [493] train-mlogloss:0.049411+0.000982 test-mlogloss:0.788583+0.016796
## [494] train-mlogloss:0.049241+0.000977 test-mlogloss:0.789005+0.016839
## [495] train-mlogloss:0.049108+0.000967 test-mlogloss:0.789368+0.016830
## [496] train-mlogloss:0.048972+0.000979 test-mlogloss:0.789686+0.016691
## [497] train-mlogloss:0.048789+0.001009 test-mlogloss:0.790397+0.016785
## [498] train-mlogloss:0.048589+0.000978 test-mlogloss:0.790813+0.016746
## [499] train-mlogloss:0.048406+0.000991 test-mlogloss:0.791101+0.016592
## [500] train-mlogloss:0.048239+0.000976 test-mlogloss:0.791793+0.016515
## [1] train-mlogloss:0.563899+0.000810 test-mlogloss:0.629037+0.001943
## [2] train-mlogloss:0.479420+0.001293 test-mlogloss:0.597715+0.001496
## [3] train-mlogloss:0.415615+0.000901 test-mlogloss:0.579387+0.003880
## [4] train-mlogloss:0.366060+0.001139 test-mlogloss:0.571076+0.005701
## [5] train-mlogloss:0.326179+0.001208 test-mlogloss:0.568707+0.007648
## [6] train-mlogloss:0.292692+0.000553 test-mlogloss:0.568420+0.007246
## [7] train-mlogloss:0.265266+0.000640 test-mlogloss:0.569732+0.007980
## [8] train-mlogloss:0.242235+0.000920 test-mlogloss:0.572465+0.009426
## [9] train-mlogloss:0.223627+0.001117 test-mlogloss:0.575710+0.009475
## [10] train-mlogloss:0.206723+0.001081 test-mlogloss:0.578982+0.009487
## [11] train-mlogloss:0.194159+0.001094 test-mlogloss:0.581880+0.011069
## [12] train-mlogloss:0.182110+0.002491 test-mlogloss:0.585426+0.012076
## [13] train-mlogloss:0.173191+0.002180 test-mlogloss:0.587947+0.012420
## [14] train-mlogloss:0.163986+0.002374 test-mlogloss:0.591064+0.011392
## [15] train-mlogloss:0.156449+0.003027 test-mlogloss:0.594584+0.012305
## [16] train-mlogloss:0.149602+0.003102 test-mlogloss:0.597790+0.012055
## [17] train-mlogloss:0.143640+0.003188 test-mlogloss:0.600626+0.012861
## [18] train-mlogloss:0.137326+0.003285 test-mlogloss:0.604336+0.014369
## [19] train-mlogloss:0.133251+0.002997 test-mlogloss:0.606458+0.014114
## [20] train-mlogloss:0.128431+0.002361 test-mlogloss:0.608896+0.015076
## [21] train-mlogloss:0.122444+0.001757 test-mlogloss:0.611862+0.014726
## [22] train-mlogloss:0.118427+0.000727 test-mlogloss:0.614727+0.013955
## [23] train-mlogloss:0.114333+0.001449 test-mlogloss:0.617544+0.013550
## [24] train-mlogloss:0.109964+0.001646 test-mlogloss:0.620444+0.013722
## [25] train-mlogloss:0.105308+0.001483 test-mlogloss:0.622708+0.013795
## [26] train-mlogloss:0.101332+0.001655 test-mlogloss:0.625041+0.014555
## [27] train-mlogloss:0.096938+0.001604 test-mlogloss:0.627695+0.014001
## [28] train-mlogloss:0.093270+0.001764 test-mlogloss:0.629783+0.014238
## [29] train-mlogloss:0.090337+0.001680 test-mlogloss:0.632313+0.014187
## [30] train-mlogloss:0.087042+0.001204 test-mlogloss:0.635417+0.014114
## [31] train-mlogloss:0.083964+0.001141 test-mlogloss:0.638087+0.014235
## [32] train-mlogloss:0.081150+0.001372 test-mlogloss:0.640178+0.014791
## [33] train-mlogloss:0.078568+0.001439 test-mlogloss:0.642969+0.014599
## [34] train-mlogloss:0.076081+0.001316 test-mlogloss:0.645938+0.015112
## [35] train-mlogloss:0.073825+0.001262 test-mlogloss:0.649372+0.015545
## [36] train-mlogloss:0.071689+0.001368 test-mlogloss:0.651841+0.016063
## [37] train-mlogloss:0.069688+0.001255 test-mlogloss:0.655166+0.016648
## [38] train-mlogloss:0.067494+0.001129 test-mlogloss:0.657835+0.017393
## [39] train-mlogloss:0.065626+0.001176 test-mlogloss:0.660383+0.017018
## [40] train-mlogloss:0.063856+0.001330 test-mlogloss:0.662280+0.017403
## [41] train-mlogloss:0.062215+0.001383 test-mlogloss:0.664441+0.017639
## [42] train-mlogloss:0.060580+0.001236 test-mlogloss:0.666588+0.017759
## [43] train-mlogloss:0.059070+0.001182 test-mlogloss:0.668840+0.018057
## [44] train-mlogloss:0.057551+0.001095 test-mlogloss:0.671162+0.018296
## [45] train-mlogloss:0.056104+0.001128 test-mlogloss:0.674082+0.018488
## [46] train-mlogloss:0.054672+0.001081 test-mlogloss:0.676532+0.018624
## [47] train-mlogloss:0.053435+0.001041 test-mlogloss:0.678255+0.019141
## [48] train-mlogloss:0.052225+0.001089 test-mlogloss:0.680929+0.019429
## [49] train-mlogloss:0.051073+0.001124 test-mlogloss:0.682563+0.019170
## [50] train-mlogloss:0.050026+0.001093 test-mlogloss:0.684648+0.019160
## [51] train-mlogloss:0.049063+0.001110 test-mlogloss:0.686058+0.019246
## [52] train-mlogloss:0.048101+0.001056 test-mlogloss:0.688140+0.019625
## [53] train-mlogloss:0.047094+0.001009 test-mlogloss:0.690562+0.019404
## [54] train-mlogloss:0.046169+0.000865 test-mlogloss:0.692046+0.019376
## [55] train-mlogloss:0.045164+0.000833 test-mlogloss:0.693977+0.019778
## [56] train-mlogloss:0.044307+0.000840 test-mlogloss:0.695784+0.019642
## [57] train-mlogloss:0.043454+0.000857 test-mlogloss:0.697567+0.019865
## [58] train-mlogloss:0.042611+0.000821 test-mlogloss:0.699926+0.020196
## [59] train-mlogloss:0.041820+0.000834 test-mlogloss:0.701829+0.020550
## [60] train-mlogloss:0.041105+0.000746 test-mlogloss:0.703749+0.019822
## [61] train-mlogloss:0.040404+0.000759 test-mlogloss:0.706007+0.020297
## [62] train-mlogloss:0.039697+0.000721 test-mlogloss:0.708150+0.019934
## [63] train-mlogloss:0.039099+0.000676 test-mlogloss:0.710186+0.020351
## [64] train-mlogloss:0.038412+0.000661 test-mlogloss:0.712131+0.020233
## [65] train-mlogloss:0.037765+0.000635 test-mlogloss:0.713489+0.019532
## [66] train-mlogloss:0.037137+0.000603 test-mlogloss:0.715510+0.019487
## [67] train-mlogloss:0.036561+0.000593 test-mlogloss:0.717171+0.019924
## [68] train-mlogloss:0.035981+0.000545 test-mlogloss:0.719067+0.020289
## [69] train-mlogloss:0.035419+0.000508 test-mlogloss:0.720407+0.020167
## [70] train-mlogloss:0.034893+0.000458 test-mlogloss:0.722355+0.020406
## [71] train-mlogloss:0.034352+0.000441 test-mlogloss:0.724137+0.020977
## [72] train-mlogloss:0.033835+0.000422 test-mlogloss:0.725796+0.021550
## [73] train-mlogloss:0.033345+0.000404 test-mlogloss:0.727414+0.021693
## [74] train-mlogloss:0.032876+0.000389 test-mlogloss:0.729254+0.021883
## [75] train-mlogloss:0.032430+0.000382 test-mlogloss:0.730708+0.022090
## [76] train-mlogloss:0.032012+0.000335 test-mlogloss:0.732262+0.021840
## [77] train-mlogloss:0.031588+0.000342 test-mlogloss:0.733620+0.021675
## [78] train-mlogloss:0.031163+0.000318 test-mlogloss:0.735214+0.021959
## [79] train-mlogloss:0.030751+0.000311 test-mlogloss:0.736562+0.022367
## [80] train-mlogloss:0.030345+0.000306 test-mlogloss:0.738409+0.022072
## [81] train-mlogloss:0.029948+0.000302 test-mlogloss:0.739663+0.021771
## [82] train-mlogloss:0.029587+0.000309 test-mlogloss:0.740768+0.021784
## [83] train-mlogloss:0.029253+0.000324 test-mlogloss:0.742071+0.021607
## [84] train-mlogloss:0.028904+0.000317 test-mlogloss:0.743224+0.021376
## [85] train-mlogloss:0.028570+0.000319 test-mlogloss:0.744814+0.021466
## [86] train-mlogloss:0.028233+0.000303 test-mlogloss:0.746027+0.021379
## [87] train-mlogloss:0.027901+0.000293 test-mlogloss:0.747593+0.021763
## [88] train-mlogloss:0.027598+0.000297 test-mlogloss:0.748988+0.021891
## [89] train-mlogloss:0.027303+0.000298 test-mlogloss:0.750318+0.022030
## [90] train-mlogloss:0.026988+0.000287 test-mlogloss:0.751591+0.022197
## [91] train-mlogloss:0.026690+0.000278 test-mlogloss:0.753094+0.022110
## [92] train-mlogloss:0.026398+0.000261 test-mlogloss:0.754487+0.022179
## [93] train-mlogloss:0.026100+0.000250 test-mlogloss:0.755339+0.022207
## [94] train-mlogloss:0.025828+0.000244 test-mlogloss:0.756819+0.022135
## [95] train-mlogloss:0.025560+0.000249 test-mlogloss:0.757665+0.022476
## [96] train-mlogloss:0.025295+0.000264 test-mlogloss:0.758902+0.022477
## [97] train-mlogloss:0.025028+0.000260 test-mlogloss:0.760379+0.022365
## [98] train-mlogloss:0.024777+0.000255 test-mlogloss:0.761583+0.022380
## [99] train-mlogloss:0.024535+0.000254 test-mlogloss:0.763138+0.022455
## [100] train-mlogloss:0.024295+0.000252 test-mlogloss:0.764061+0.022697
## [101] train-mlogloss:0.024060+0.000255 test-mlogloss:0.764964+0.022760
## [102] train-mlogloss:0.023844+0.000256 test-mlogloss:0.766140+0.022445
## [103] train-mlogloss:0.023624+0.000253 test-mlogloss:0.767060+0.022345
## [104] train-mlogloss:0.023400+0.000248 test-mlogloss:0.768223+0.022685
## [105] train-mlogloss:0.023188+0.000238 test-mlogloss:0.769131+0.022542
## [106] train-mlogloss:0.022979+0.000234 test-mlogloss:0.770291+0.022594
## [107] train-mlogloss:0.022761+0.000218 test-mlogloss:0.771409+0.022555
## [108] train-mlogloss:0.022556+0.000219 test-mlogloss:0.772571+0.023113
## [109] train-mlogloss:0.022366+0.000226 test-mlogloss:0.773828+0.022913
## [110] train-mlogloss:0.022176+0.000215 test-mlogloss:0.774740+0.022850
## [111] train-mlogloss:0.021984+0.000214 test-mlogloss:0.776003+0.022841
## [112] train-mlogloss:0.021801+0.000211 test-mlogloss:0.776856+0.022843
## [113] train-mlogloss:0.021623+0.000202 test-mlogloss:0.777963+0.022658
## [114] train-mlogloss:0.021443+0.000200 test-mlogloss:0.778868+0.022986
## [115] train-mlogloss:0.021260+0.000196 test-mlogloss:0.779677+0.023196
## [116] train-mlogloss:0.021099+0.000190 test-mlogloss:0.781011+0.023865
## [117] train-mlogloss:0.020925+0.000189 test-mlogloss:0.782085+0.023598
## [118] train-mlogloss:0.020765+0.000185 test-mlogloss:0.782875+0.024219
## [119] train-mlogloss:0.020609+0.000186 test-mlogloss:0.783739+0.024168
## [120] train-mlogloss:0.020444+0.000184 test-mlogloss:0.784401+0.024021
## [121] train-mlogloss:0.020294+0.000179 test-mlogloss:0.785074+0.024183
## [122] train-mlogloss:0.020148+0.000188 test-mlogloss:0.785831+0.024254
## [123] train-mlogloss:0.019995+0.000187 test-mlogloss:0.786799+0.024379
## [124] train-mlogloss:0.019848+0.000184 test-mlogloss:0.787397+0.024705
## [125] train-mlogloss:0.019704+0.000182 test-mlogloss:0.788525+0.024683
## [126] train-mlogloss:0.019561+0.000178 test-mlogloss:0.789673+0.024489
## [127] train-mlogloss:0.019427+0.000181 test-mlogloss:0.790360+0.024589
## [128] train-mlogloss:0.019294+0.000183 test-mlogloss:0.791650+0.024811
## [129] train-mlogloss:0.019158+0.000175 test-mlogloss:0.792544+0.024517
## [130] train-mlogloss:0.019024+0.000170 test-mlogloss:0.793677+0.024687
## [131] train-mlogloss:0.018891+0.000168 test-mlogloss:0.794659+0.024903
## [132] train-mlogloss:0.018765+0.000160 test-mlogloss:0.795319+0.024623
## [133] train-mlogloss:0.018640+0.000155 test-mlogloss:0.795766+0.024265
## [134] train-mlogloss:0.018518+0.000159 test-mlogloss:0.796605+0.024329
## [135] train-mlogloss:0.018399+0.000160 test-mlogloss:0.797508+0.024392
## [136] train-mlogloss:0.018284+0.000156 test-mlogloss:0.798283+0.023976
## [137] train-mlogloss:0.018162+0.000159 test-mlogloss:0.799268+0.023854
## [138] train-mlogloss:0.018042+0.000157 test-mlogloss:0.799944+0.023981
## [139] train-mlogloss:0.017933+0.000156 test-mlogloss:0.800946+0.024001
## [140] train-mlogloss:0.017816+0.000159 test-mlogloss:0.801679+0.023527
## [141] train-mlogloss:0.017701+0.000153 test-mlogloss:0.802642+0.023588
## [142] train-mlogloss:0.017584+0.000150 test-mlogloss:0.803812+0.023358
## [143] train-mlogloss:0.017474+0.000140 test-mlogloss:0.804865+0.023441
## [144] train-mlogloss:0.017361+0.000137 test-mlogloss:0.805433+0.023780
## [145] train-mlogloss:0.017261+0.000137 test-mlogloss:0.805812+0.023677
## [146] train-mlogloss:0.017161+0.000131 test-mlogloss:0.806122+0.024071
## [147] train-mlogloss:0.017061+0.000131 test-mlogloss:0.806939+0.024033
## [148] train-mlogloss:0.016956+0.000136 test-mlogloss:0.807618+0.023942
## [149] train-mlogloss:0.016859+0.000134 test-mlogloss:0.808250+0.024109
## [150] train-mlogloss:0.016760+0.000130 test-mlogloss:0.809023+0.024424
## [151] train-mlogloss:0.016665+0.000128 test-mlogloss:0.809802+0.024192
## [152] train-mlogloss:0.016567+0.000122 test-mlogloss:0.810768+0.024131
## [153] train-mlogloss:0.016472+0.000119 test-mlogloss:0.811374+0.024528
## [154] train-mlogloss:0.016381+0.000115 test-mlogloss:0.812033+0.024489
## [155] train-mlogloss:0.016290+0.000117 test-mlogloss:0.812862+0.024415
## [156] train-mlogloss:0.016201+0.000119 test-mlogloss:0.814069+0.024507
## [157] train-mlogloss:0.016107+0.000120 test-mlogloss:0.814516+0.024327
## [158] train-mlogloss:0.016015+0.000118 test-mlogloss:0.815106+0.024306
## [159] train-mlogloss:0.015929+0.000117 test-mlogloss:0.815806+0.024297
## [160] train-mlogloss:0.015846+0.000111 test-mlogloss:0.816352+0.024552
## [161] train-mlogloss:0.015762+0.000110 test-mlogloss:0.817006+0.024623
## [162] train-mlogloss:0.015681+0.000107 test-mlogloss:0.817624+0.024215
## [163] train-mlogloss:0.015604+0.000109 test-mlogloss:0.818189+0.024202
## [164] train-mlogloss:0.015521+0.000112 test-mlogloss:0.819082+0.024425
## [165] train-mlogloss:0.015441+0.000111 test-mlogloss:0.819891+0.024349
## [166] train-mlogloss:0.015364+0.000111 test-mlogloss:0.821056+0.024225
## [167] train-mlogloss:0.015289+0.000115 test-mlogloss:0.821675+0.024613
## [168] train-mlogloss:0.015213+0.000114 test-mlogloss:0.822381+0.024551
## [169] train-mlogloss:0.015138+0.000110 test-mlogloss:0.823454+0.024696
## [170] train-mlogloss:0.015063+0.000104 test-mlogloss:0.823935+0.024971
## [171] train-mlogloss:0.014989+0.000102 test-mlogloss:0.824245+0.025028
## [172] train-mlogloss:0.014914+0.000100 test-mlogloss:0.825156+0.025341
## [173] train-mlogloss:0.014843+0.000098 test-mlogloss:0.825977+0.025379
## [174] train-mlogloss:0.014775+0.000095 test-mlogloss:0.827069+0.025738
## [175] train-mlogloss:0.014707+0.000090 test-mlogloss:0.827637+0.025808
## [176] train-mlogloss:0.014636+0.000089 test-mlogloss:0.828377+0.025943
## [177] train-mlogloss:0.014573+0.000088 test-mlogloss:0.829176+0.025840
## [178] train-mlogloss:0.014506+0.000083 test-mlogloss:0.830160+0.025992
## [179] train-mlogloss:0.014436+0.000086 test-mlogloss:0.830860+0.026316
## [180] train-mlogloss:0.014366+0.000084 test-mlogloss:0.831102+0.026354
## [181] train-mlogloss:0.014304+0.000078 test-mlogloss:0.831739+0.026085
## [182] train-mlogloss:0.014241+0.000076 test-mlogloss:0.832476+0.025926
## [183] train-mlogloss:0.014181+0.000076 test-mlogloss:0.832553+0.025832
## [184] train-mlogloss:0.014115+0.000075 test-mlogloss:0.833246+0.025872
## [185] train-mlogloss:0.014053+0.000075 test-mlogloss:0.833812+0.026276
## [186] train-mlogloss:0.013989+0.000077 test-mlogloss:0.834494+0.026162
## [187] train-mlogloss:0.013927+0.000074 test-mlogloss:0.834919+0.026561
## [188] train-mlogloss:0.013863+0.000073 test-mlogloss:0.835464+0.026373
## [189] train-mlogloss:0.013804+0.000073 test-mlogloss:0.836288+0.026448
## [190] train-mlogloss:0.013749+0.000076 test-mlogloss:0.837115+0.026409
## [191] train-mlogloss:0.013690+0.000075 test-mlogloss:0.837402+0.026222
## [192] train-mlogloss:0.013632+0.000076 test-mlogloss:0.837949+0.026227
## [193] train-mlogloss:0.013576+0.000078 test-mlogloss:0.838722+0.026324
## [194] train-mlogloss:0.013516+0.000078 test-mlogloss:0.839790+0.026295
## [195] train-mlogloss:0.013457+0.000077 test-mlogloss:0.840458+0.026205
## [196] train-mlogloss:0.013402+0.000077 test-mlogloss:0.840850+0.025986
## [197] train-mlogloss:0.013342+0.000080 test-mlogloss:0.841424+0.025885
## [198] train-mlogloss:0.013286+0.000083 test-mlogloss:0.842312+0.026042
## [199] train-mlogloss:0.013230+0.000085 test-mlogloss:0.842889+0.026053
## [200] train-mlogloss:0.013179+0.000082 test-mlogloss:0.843086+0.026057
## [201] train-mlogloss:0.013128+0.000082 test-mlogloss:0.843685+0.025824
## [202] train-mlogloss:0.013078+0.000081 test-mlogloss:0.843906+0.026022
## [203] train-mlogloss:0.013024+0.000080 test-mlogloss:0.844326+0.025889
## [204] train-mlogloss:0.012970+0.000079 test-mlogloss:0.845137+0.025587
## [205] train-mlogloss:0.012921+0.000079 test-mlogloss:0.845889+0.026119
## [206] train-mlogloss:0.012868+0.000077 test-mlogloss:0.846335+0.026245
## [207] train-mlogloss:0.012822+0.000077 test-mlogloss:0.847114+0.026442
## [208] train-mlogloss:0.012772+0.000078 test-mlogloss:0.847716+0.026245
## [209] train-mlogloss:0.012727+0.000080 test-mlogloss:0.848028+0.026435
## [210] train-mlogloss:0.012683+0.000078 test-mlogloss:0.848381+0.026515
## [211] train-mlogloss:0.012636+0.000078 test-mlogloss:0.848987+0.026698
## [212] train-mlogloss:0.012591+0.000076 test-mlogloss:0.849772+0.026478
## [213] train-mlogloss:0.012544+0.000072 test-mlogloss:0.850316+0.026451
## [214] train-mlogloss:0.012497+0.000073 test-mlogloss:0.850815+0.026934
## [215] train-mlogloss:0.012446+0.000072 test-mlogloss:0.851558+0.026888
## [216] train-mlogloss:0.012396+0.000071 test-mlogloss:0.851807+0.026756
## [217] train-mlogloss:0.012352+0.000070 test-mlogloss:0.852180+0.026842
## [218] train-mlogloss:0.012308+0.000068 test-mlogloss:0.852759+0.026835
## [219] train-mlogloss:0.012261+0.000068 test-mlogloss:0.853374+0.026743
## [220] train-mlogloss:0.012216+0.000068 test-mlogloss:0.853684+0.026994
## [221] train-mlogloss:0.012174+0.000070 test-mlogloss:0.854478+0.027004
## [222] train-mlogloss:0.012131+0.000070 test-mlogloss:0.855160+0.026869
## [223] train-mlogloss:0.012087+0.000067 test-mlogloss:0.855827+0.026967
## [224] train-mlogloss:0.012043+0.000068 test-mlogloss:0.855934+0.027261
## [225] train-mlogloss:0.012002+0.000068 test-mlogloss:0.856842+0.027329
## [226] train-mlogloss:0.011960+0.000066 test-mlogloss:0.857549+0.027257
## [227] train-mlogloss:0.011921+0.000068 test-mlogloss:0.858106+0.027503
## [228] train-mlogloss:0.011878+0.000068 test-mlogloss:0.858470+0.027507
## [229] train-mlogloss:0.011835+0.000065 test-mlogloss:0.859133+0.027623
## [230] train-mlogloss:0.011794+0.000068 test-mlogloss:0.859573+0.027526
## [231] train-mlogloss:0.011754+0.000064 test-mlogloss:0.859974+0.027552
## [232] train-mlogloss:0.011711+0.000060 test-mlogloss:0.860486+0.027486
## [233] train-mlogloss:0.011674+0.000059 test-mlogloss:0.860564+0.027552
## [234] train-mlogloss:0.011632+0.000058 test-mlogloss:0.861039+0.027607
## [235] train-mlogloss:0.011595+0.000056 test-mlogloss:0.861309+0.027443
## [236] train-mlogloss:0.011556+0.000057 test-mlogloss:0.861829+0.027180
## [237] train-mlogloss:0.011517+0.000057 test-mlogloss:0.862248+0.027205
## [238] train-mlogloss:0.011478+0.000057 test-mlogloss:0.862819+0.027245
## [239] train-mlogloss:0.011439+0.000062 test-mlogloss:0.863317+0.027291
## [240] train-mlogloss:0.011402+0.000063 test-mlogloss:0.863999+0.027136
## [241] train-mlogloss:0.011369+0.000064 test-mlogloss:0.864245+0.027005
## [242] train-mlogloss:0.011333+0.000060 test-mlogloss:0.864564+0.026823
## [243] train-mlogloss:0.011297+0.000060 test-mlogloss:0.865220+0.027047
## [244] train-mlogloss:0.011262+0.000060 test-mlogloss:0.865990+0.027218
## [245] train-mlogloss:0.011227+0.000060 test-mlogloss:0.866446+0.027134
## [246] train-mlogloss:0.011192+0.000058 test-mlogloss:0.866982+0.027456
## [247] train-mlogloss:0.011158+0.000057 test-mlogloss:0.867056+0.027145
## [248] train-mlogloss:0.011125+0.000058 test-mlogloss:0.867528+0.026864
## [249] train-mlogloss:0.011090+0.000055 test-mlogloss:0.867859+0.026857
## [250] train-mlogloss:0.011055+0.000056 test-mlogloss:0.868312+0.027009
## [251] train-mlogloss:0.011018+0.000059 test-mlogloss:0.868789+0.027066
## [252] train-mlogloss:0.010982+0.000058 test-mlogloss:0.869461+0.027364
## [253] train-mlogloss:0.010949+0.000059 test-mlogloss:0.869853+0.027417
## [254] train-mlogloss:0.010916+0.000061 test-mlogloss:0.870510+0.027447
## [255] train-mlogloss:0.010884+0.000059 test-mlogloss:0.871011+0.027412
## [256] train-mlogloss:0.010852+0.000058 test-mlogloss:0.871536+0.027130
## [257] train-mlogloss:0.010818+0.000055 test-mlogloss:0.871827+0.027302
## [258] train-mlogloss:0.010786+0.000056 test-mlogloss:0.872135+0.027402
## [259] train-mlogloss:0.010756+0.000054 test-mlogloss:0.872711+0.027174
## [260] train-mlogloss:0.010725+0.000054 test-mlogloss:0.873020+0.026897
## [261] train-mlogloss:0.010694+0.000053 test-mlogloss:0.873485+0.027025
## [262] train-mlogloss:0.010665+0.000052 test-mlogloss:0.873855+0.027051
## [263] train-mlogloss:0.010633+0.000053 test-mlogloss:0.874286+0.026907
## [264] train-mlogloss:0.010603+0.000052 test-mlogloss:0.874716+0.026889
## [265] train-mlogloss:0.010572+0.000055 test-mlogloss:0.875062+0.026934
## [266] train-mlogloss:0.010543+0.000055 test-mlogloss:0.875351+0.026857
## [267] train-mlogloss:0.010511+0.000055 test-mlogloss:0.876079+0.026933
## [268] train-mlogloss:0.010483+0.000053 test-mlogloss:0.876677+0.027090
## [269] train-mlogloss:0.010454+0.000053 test-mlogloss:0.876950+0.027234
## [270] train-mlogloss:0.010424+0.000054 test-mlogloss:0.877432+0.027133
## [271] train-mlogloss:0.010397+0.000051 test-mlogloss:0.878040+0.026979
## [272] train-mlogloss:0.010369+0.000054 test-mlogloss:0.878555+0.026979
## [273] train-mlogloss:0.010339+0.000052 test-mlogloss:0.879419+0.027158
## [274] train-mlogloss:0.010311+0.000052 test-mlogloss:0.879586+0.027359
## [275] train-mlogloss:0.010282+0.000052 test-mlogloss:0.880092+0.027189
## [276] train-mlogloss:0.010252+0.000052 test-mlogloss:0.880600+0.027225
## [277] train-mlogloss:0.010223+0.000052 test-mlogloss:0.881182+0.026873
## [278] train-mlogloss:0.010195+0.000050 test-mlogloss:0.881433+0.027065
## [279] train-mlogloss:0.010166+0.000050 test-mlogloss:0.881539+0.027172
## [280] train-mlogloss:0.010140+0.000050 test-mlogloss:0.882145+0.027171
## [281] train-mlogloss:0.010115+0.000049 test-mlogloss:0.882434+0.027082
## [282] train-mlogloss:0.010088+0.000049 test-mlogloss:0.882843+0.027330
## [283] train-mlogloss:0.010064+0.000049 test-mlogloss:0.882946+0.027320
## [284] train-mlogloss:0.010037+0.000049 test-mlogloss:0.883600+0.027395
## [285] train-mlogloss:0.010010+0.000049 test-mlogloss:0.884316+0.027082
## [286] train-mlogloss:0.009985+0.000050 test-mlogloss:0.884615+0.026949
## [287] train-mlogloss:0.009959+0.000049 test-mlogloss:0.884970+0.026776
## [288] train-mlogloss:0.009934+0.000049 test-mlogloss:0.885432+0.026564
## [289] train-mlogloss:0.009908+0.000051 test-mlogloss:0.885683+0.026393
## [290] train-mlogloss:0.009881+0.000049 test-mlogloss:0.886166+0.026573
## [291] train-mlogloss:0.009856+0.000048 test-mlogloss:0.886405+0.026829
## [292] train-mlogloss:0.009831+0.000049 test-mlogloss:0.886397+0.026804
## [293] train-mlogloss:0.009806+0.000050 test-mlogloss:0.886951+0.027166
## [294] train-mlogloss:0.009782+0.000050 test-mlogloss:0.887265+0.027119
## [295] train-mlogloss:0.009759+0.000048 test-mlogloss:0.887595+0.026968
## [296] train-mlogloss:0.009734+0.000048 test-mlogloss:0.888211+0.027172
## [297] train-mlogloss:0.009711+0.000048 test-mlogloss:0.888367+0.027075
## [298] train-mlogloss:0.009687+0.000048 test-mlogloss:0.888993+0.027091
## [299] train-mlogloss:0.009662+0.000049 test-mlogloss:0.889516+0.027132
## [300] train-mlogloss:0.009637+0.000049 test-mlogloss:0.889681+0.027397
## [301] train-mlogloss:0.009614+0.000049 test-mlogloss:0.889764+0.027392
## [302] train-mlogloss:0.009592+0.000049 test-mlogloss:0.890202+0.027465
## [303] train-mlogloss:0.009570+0.000050 test-mlogloss:0.890865+0.027285
## [304] train-mlogloss:0.009547+0.000051 test-mlogloss:0.891241+0.027183
## [305] train-mlogloss:0.009523+0.000050 test-mlogloss:0.891558+0.027150
## [306] train-mlogloss:0.009501+0.000050 test-mlogloss:0.892122+0.027346
## [307] train-mlogloss:0.009479+0.000049 test-mlogloss:0.892283+0.027301
## [308] train-mlogloss:0.009457+0.000049 test-mlogloss:0.892450+0.027356
## [309] train-mlogloss:0.009435+0.000049 test-mlogloss:0.892884+0.027239
## [310] train-mlogloss:0.009410+0.000049 test-mlogloss:0.893095+0.027481
## [311] train-mlogloss:0.009385+0.000049 test-mlogloss:0.893893+0.027562
## [312] train-mlogloss:0.009361+0.000050 test-mlogloss:0.894294+0.027312
## [313] train-mlogloss:0.009340+0.000050 test-mlogloss:0.894408+0.027340
## [314] train-mlogloss:0.009319+0.000048 test-mlogloss:0.894817+0.027464
## [315] train-mlogloss:0.009298+0.000048 test-mlogloss:0.895203+0.027355
## [316] train-mlogloss:0.009276+0.000046 test-mlogloss:0.895551+0.027103
## [317] train-mlogloss:0.009257+0.000046 test-mlogloss:0.895637+0.026942
## [318] train-mlogloss:0.009235+0.000045 test-mlogloss:0.896122+0.026878
## [319] train-mlogloss:0.009214+0.000044 test-mlogloss:0.896337+0.026914
## [320] train-mlogloss:0.009193+0.000045 test-mlogloss:0.896673+0.026696
## [321] train-mlogloss:0.009173+0.000044 test-mlogloss:0.897220+0.026723
## [322] train-mlogloss:0.009152+0.000044 test-mlogloss:0.897391+0.026754
## [323] train-mlogloss:0.009133+0.000044 test-mlogloss:0.897720+0.026914
## [324] train-mlogloss:0.009112+0.000043 test-mlogloss:0.898092+0.026806
## [325] train-mlogloss:0.009091+0.000042 test-mlogloss:0.898491+0.026663
## [326] train-mlogloss:0.009069+0.000041 test-mlogloss:0.898866+0.026553
## [327] train-mlogloss:0.009048+0.000042 test-mlogloss:0.899445+0.026728
## [328] train-mlogloss:0.009028+0.000042 test-mlogloss:0.899624+0.026940
## [329] train-mlogloss:0.009009+0.000043 test-mlogloss:0.900114+0.026932
## [330] train-mlogloss:0.008989+0.000043 test-mlogloss:0.900453+0.026968
## [331] train-mlogloss:0.008971+0.000043 test-mlogloss:0.900618+0.027140
## [332] train-mlogloss:0.008951+0.000042 test-mlogloss:0.901269+0.027136
## [333] train-mlogloss:0.008929+0.000043 test-mlogloss:0.901560+0.026926
## [334] train-mlogloss:0.008910+0.000044 test-mlogloss:0.901963+0.026851
## [335] train-mlogloss:0.008892+0.000045 test-mlogloss:0.902180+0.026930
## [336] train-mlogloss:0.008873+0.000044 test-mlogloss:0.902461+0.027035
## [337] train-mlogloss:0.008853+0.000044 test-mlogloss:0.902779+0.027151
## [338] train-mlogloss:0.008834+0.000044 test-mlogloss:0.903306+0.027187
## [339] train-mlogloss:0.008816+0.000044 test-mlogloss:0.903253+0.027339
## [340] train-mlogloss:0.008797+0.000042 test-mlogloss:0.903517+0.027201
## [341] train-mlogloss:0.008778+0.000043 test-mlogloss:0.903800+0.027323
## [342] train-mlogloss:0.008758+0.000042 test-mlogloss:0.904143+0.027040
## [343] train-mlogloss:0.008739+0.000040 test-mlogloss:0.904366+0.027044
## [344] train-mlogloss:0.008719+0.000043 test-mlogloss:0.904799+0.027395
## [345] train-mlogloss:0.008700+0.000043 test-mlogloss:0.905112+0.027370
## [346] train-mlogloss:0.008682+0.000042 test-mlogloss:0.905601+0.027597
## [347] train-mlogloss:0.008664+0.000041 test-mlogloss:0.905684+0.027647
## [348] train-mlogloss:0.008646+0.000040 test-mlogloss:0.906314+0.027914
## [349] train-mlogloss:0.008627+0.000041 test-mlogloss:0.907080+0.027940
## [350] train-mlogloss:0.008611+0.000041 test-mlogloss:0.907459+0.027685
## [351] train-mlogloss:0.008593+0.000040 test-mlogloss:0.907885+0.027856
## [352] train-mlogloss:0.008576+0.000040 test-mlogloss:0.907921+0.027795
## [353] train-mlogloss:0.008558+0.000042 test-mlogloss:0.908097+0.027764
## [354] train-mlogloss:0.008543+0.000040 test-mlogloss:0.908365+0.027711
## [355] train-mlogloss:0.008526+0.000040 test-mlogloss:0.908540+0.027717
## [356] train-mlogloss:0.008508+0.000040 test-mlogloss:0.908864+0.027893
## [357] train-mlogloss:0.008493+0.000039 test-mlogloss:0.909043+0.028046
## [358] train-mlogloss:0.008477+0.000040 test-mlogloss:0.909490+0.028102
## [359] train-mlogloss:0.008459+0.000040 test-mlogloss:0.909925+0.028044
## [360] train-mlogloss:0.008442+0.000040 test-mlogloss:0.910089+0.028069
## [361] train-mlogloss:0.008426+0.000040 test-mlogloss:0.910436+0.028384
## [362] train-mlogloss:0.008408+0.000038 test-mlogloss:0.910647+0.028145
## [363] train-mlogloss:0.008392+0.000039 test-mlogloss:0.911403+0.028277
## [364] train-mlogloss:0.008376+0.000039 test-mlogloss:0.911649+0.028187
## [365] train-mlogloss:0.008359+0.000040 test-mlogloss:0.911924+0.028421
## [366] train-mlogloss:0.008341+0.000040 test-mlogloss:0.912351+0.028416
## [367] train-mlogloss:0.008326+0.000041 test-mlogloss:0.912629+0.028420
## [368] train-mlogloss:0.008310+0.000039 test-mlogloss:0.912971+0.028462
## [369] train-mlogloss:0.008294+0.000041 test-mlogloss:0.913378+0.028444
## [370] train-mlogloss:0.008278+0.000041 test-mlogloss:0.913612+0.028241
## [371] train-mlogloss:0.008264+0.000041 test-mlogloss:0.913851+0.028160
## [372] train-mlogloss:0.008247+0.000039 test-mlogloss:0.914155+0.028285
## [373] train-mlogloss:0.008231+0.000039 test-mlogloss:0.914366+0.028165
## [374] train-mlogloss:0.008216+0.000039 test-mlogloss:0.914770+0.028159
## [375] train-mlogloss:0.008202+0.000038 test-mlogloss:0.914999+0.028450
## [376] train-mlogloss:0.008187+0.000038 test-mlogloss:0.915366+0.028284
## [377] train-mlogloss:0.008170+0.000038 test-mlogloss:0.915479+0.027994
## [378] train-mlogloss:0.008156+0.000039 test-mlogloss:0.915482+0.028039
## [379] train-mlogloss:0.008139+0.000040 test-mlogloss:0.915905+0.028081
## [380] train-mlogloss:0.008124+0.000041 test-mlogloss:0.916189+0.028216
## [381] train-mlogloss:0.008108+0.000041 test-mlogloss:0.916455+0.028237
## [382] train-mlogloss:0.008094+0.000041 test-mlogloss:0.916837+0.028281
## [383] train-mlogloss:0.008080+0.000041 test-mlogloss:0.917042+0.028026
## [384] train-mlogloss:0.008065+0.000041 test-mlogloss:0.917883+0.028085
## [385] train-mlogloss:0.008051+0.000043 test-mlogloss:0.917987+0.027958
## [386] train-mlogloss:0.008037+0.000041 test-mlogloss:0.918372+0.027861
## [387] train-mlogloss:0.008022+0.000041 test-mlogloss:0.918941+0.028036
## [388] train-mlogloss:0.008007+0.000041 test-mlogloss:0.919130+0.028403
## [389] train-mlogloss:0.007992+0.000041 test-mlogloss:0.919438+0.028379
## [390] train-mlogloss:0.007978+0.000041 test-mlogloss:0.919413+0.028291
## [391] train-mlogloss:0.007964+0.000041 test-mlogloss:0.919523+0.028203
## [392] train-mlogloss:0.007949+0.000040 test-mlogloss:0.920052+0.028408
## [393] train-mlogloss:0.007935+0.000039 test-mlogloss:0.920236+0.028336
## [394] train-mlogloss:0.007921+0.000040 test-mlogloss:0.920617+0.028125
## [395] train-mlogloss:0.007908+0.000041 test-mlogloss:0.920952+0.028002
## [396] train-mlogloss:0.007894+0.000040 test-mlogloss:0.921281+0.028392
## [397] train-mlogloss:0.007880+0.000039 test-mlogloss:0.921537+0.028616
## [398] train-mlogloss:0.007867+0.000039 test-mlogloss:0.921799+0.028553
## [399] train-mlogloss:0.007853+0.000039 test-mlogloss:0.921845+0.028621
## [400] train-mlogloss:0.007840+0.000039 test-mlogloss:0.922349+0.028659
## [401] train-mlogloss:0.007827+0.000039 test-mlogloss:0.922869+0.028751
## [402] train-mlogloss:0.007813+0.000037 test-mlogloss:0.923198+0.028768
## [403] train-mlogloss:0.007799+0.000036 test-mlogloss:0.923310+0.028747
## [404] train-mlogloss:0.007786+0.000036 test-mlogloss:0.923692+0.028994
## [405] train-mlogloss:0.007774+0.000036 test-mlogloss:0.924236+0.029237
## [406] train-mlogloss:0.007762+0.000037 test-mlogloss:0.924198+0.029146
## [407] train-mlogloss:0.007749+0.000036 test-mlogloss:0.924348+0.029316
## [408] train-mlogloss:0.007735+0.000035 test-mlogloss:0.924657+0.029368
## [409] train-mlogloss:0.007722+0.000034 test-mlogloss:0.924827+0.029432
## [410] train-mlogloss:0.007709+0.000034 test-mlogloss:0.925193+0.029431
## [411] train-mlogloss:0.007696+0.000035 test-mlogloss:0.925312+0.029258
## [412] train-mlogloss:0.007684+0.000035 test-mlogloss:0.925394+0.029427
## [413] train-mlogloss:0.007671+0.000033 test-mlogloss:0.925782+0.029609
## [414] train-mlogloss:0.007659+0.000032 test-mlogloss:0.925720+0.029374
## [415] train-mlogloss:0.007647+0.000032 test-mlogloss:0.925926+0.029328
## [416] train-mlogloss:0.007635+0.000033 test-mlogloss:0.926310+0.029281
## [417] train-mlogloss:0.007622+0.000033 test-mlogloss:0.926657+0.029303
## [418] train-mlogloss:0.007610+0.000032 test-mlogloss:0.926866+0.029591
## [419] train-mlogloss:0.007597+0.000032 test-mlogloss:0.927237+0.029525
## [420] train-mlogloss:0.007585+0.000032 test-mlogloss:0.927613+0.029498
## [421] train-mlogloss:0.007572+0.000031 test-mlogloss:0.928278+0.029577
## [422] train-mlogloss:0.007559+0.000032 test-mlogloss:0.928721+0.029659
## [423] train-mlogloss:0.007546+0.000031 test-mlogloss:0.929016+0.029703
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## [426] train-mlogloss:0.007509+0.000030 test-mlogloss:0.930000+0.029723
## [427] train-mlogloss:0.007498+0.000031 test-mlogloss:0.929986+0.029730
## [428] train-mlogloss:0.007486+0.000030 test-mlogloss:0.930112+0.029668
## [429] train-mlogloss:0.007474+0.000029 test-mlogloss:0.930622+0.029613
## [430] train-mlogloss:0.007462+0.000028 test-mlogloss:0.931151+0.029400
## [431] train-mlogloss:0.007450+0.000027 test-mlogloss:0.931658+0.029610
## [432] train-mlogloss:0.007440+0.000026 test-mlogloss:0.931993+0.029553
## [433] train-mlogloss:0.007428+0.000027 test-mlogloss:0.932283+0.029700
## [434] train-mlogloss:0.007416+0.000026 test-mlogloss:0.932672+0.029758
## [435] train-mlogloss:0.007404+0.000026 test-mlogloss:0.932629+0.029359
## [436] train-mlogloss:0.007392+0.000025 test-mlogloss:0.932960+0.029328
## [437] train-mlogloss:0.007379+0.000026 test-mlogloss:0.933095+0.029275
## [438] train-mlogloss:0.007367+0.000025 test-mlogloss:0.933246+0.029208
## [439] train-mlogloss:0.007355+0.000023 test-mlogloss:0.933346+0.029198
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## [443] train-mlogloss:0.007310+0.000023 test-mlogloss:0.934475+0.029080
## [444] train-mlogloss:0.007300+0.000022 test-mlogloss:0.934693+0.028929
## [445] train-mlogloss:0.007289+0.000022 test-mlogloss:0.934742+0.028945
## [446] train-mlogloss:0.007276+0.000022 test-mlogloss:0.935079+0.028966
## [447] train-mlogloss:0.007266+0.000022 test-mlogloss:0.935194+0.028973
## [448] train-mlogloss:0.007254+0.000022 test-mlogloss:0.935513+0.029085
## [449] train-mlogloss:0.007243+0.000022 test-mlogloss:0.935686+0.029210
## [450] train-mlogloss:0.007233+0.000023 test-mlogloss:0.935879+0.029091
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## [452] train-mlogloss:0.007210+0.000023 test-mlogloss:0.936595+0.029350
## [453] train-mlogloss:0.007200+0.000022 test-mlogloss:0.936847+0.029509
## [454] train-mlogloss:0.007189+0.000023 test-mlogloss:0.937346+0.029507
## [455] train-mlogloss:0.007179+0.000023 test-mlogloss:0.937436+0.029414
## [456] train-mlogloss:0.007168+0.000023 test-mlogloss:0.937553+0.029767
## [457] train-mlogloss:0.007157+0.000023 test-mlogloss:0.937921+0.029863
## [458] train-mlogloss:0.007145+0.000023 test-mlogloss:0.937991+0.029827
## [459] train-mlogloss:0.007135+0.000023 test-mlogloss:0.938286+0.029711
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## [461] train-mlogloss:0.007114+0.000022 test-mlogloss:0.938959+0.029386
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## [463] train-mlogloss:0.007093+0.000022 test-mlogloss:0.939098+0.029227
## [464] train-mlogloss:0.007083+0.000021 test-mlogloss:0.939361+0.029330
## [465] train-mlogloss:0.007073+0.000022 test-mlogloss:0.939588+0.029542
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## [467] train-mlogloss:0.007054+0.000022 test-mlogloss:0.940045+0.029543
## [468] train-mlogloss:0.007045+0.000022 test-mlogloss:0.940342+0.029633
## [469] train-mlogloss:0.007035+0.000022 test-mlogloss:0.940323+0.029589
## [470] train-mlogloss:0.007025+0.000022 test-mlogloss:0.940804+0.029863
## [471] train-mlogloss:0.007015+0.000022 test-mlogloss:0.940976+0.029960
## [472] train-mlogloss:0.007005+0.000023 test-mlogloss:0.941073+0.029679
## [473] train-mlogloss:0.006994+0.000022 test-mlogloss:0.941290+0.029679
## [474] train-mlogloss:0.006985+0.000022 test-mlogloss:0.941551+0.029583
## [475] train-mlogloss:0.006975+0.000022 test-mlogloss:0.941702+0.029393
## [476] train-mlogloss:0.006967+0.000023 test-mlogloss:0.941785+0.029575
## [477] train-mlogloss:0.006957+0.000021 test-mlogloss:0.942279+0.029787
## [478] train-mlogloss:0.006946+0.000022 test-mlogloss:0.942664+0.029673
## [479] train-mlogloss:0.006937+0.000022 test-mlogloss:0.942956+0.029718
## [480] train-mlogloss:0.006927+0.000021 test-mlogloss:0.942907+0.029602
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## [482] train-mlogloss:0.006908+0.000020 test-mlogloss:0.943232+0.029601
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## [484] train-mlogloss:0.006889+0.000020 test-mlogloss:0.944061+0.029568
## [485] train-mlogloss:0.006879+0.000021 test-mlogloss:0.944187+0.029826
## [486] train-mlogloss:0.006870+0.000021 test-mlogloss:0.944586+0.029905
## [487] train-mlogloss:0.006861+0.000020 test-mlogloss:0.944744+0.030143
## [488] train-mlogloss:0.006852+0.000020 test-mlogloss:0.944881+0.030052
## [489] train-mlogloss:0.006843+0.000021 test-mlogloss:0.945022+0.029841
## [490] train-mlogloss:0.006835+0.000021 test-mlogloss:0.945283+0.029834
## [491] train-mlogloss:0.006827+0.000021 test-mlogloss:0.945419+0.029739
## [492] train-mlogloss:0.006818+0.000021 test-mlogloss:0.945741+0.029730
## [493] train-mlogloss:0.006809+0.000021 test-mlogloss:0.945972+0.029729
## [494] train-mlogloss:0.006801+0.000020 test-mlogloss:0.945994+0.029548
## [495] train-mlogloss:0.006792+0.000020 test-mlogloss:0.946169+0.029496
## [496] train-mlogloss:0.006783+0.000020 test-mlogloss:0.946461+0.029622
## [497] train-mlogloss:0.006773+0.000019 test-mlogloss:0.946940+0.029558
## [498] train-mlogloss:0.006764+0.000019 test-mlogloss:0.947005+0.029681
## [499] train-mlogloss:0.006755+0.000019 test-mlogloss:0.947124+0.029748
## [500] train-mlogloss:0.006746+0.000019 test-mlogloss:0.947348+0.029932
## [1] train-mlogloss:0.536853+0.003124 test-mlogloss:0.557481+0.009209
## [2] train-mlogloss:0.506762+0.003701 test-mlogloss:0.541769+0.011072
## [3] train-mlogloss:0.494242+0.003106 test-mlogloss:0.539670+0.012721
## [4] train-mlogloss:0.484344+0.003925 test-mlogloss:0.541945+0.013461
## [5] train-mlogloss:0.476241+0.004748 test-mlogloss:0.544742+0.013140
## [6] train-mlogloss:0.469860+0.005825 test-mlogloss:0.546867+0.013466
## [7] train-mlogloss:0.461882+0.005314 test-mlogloss:0.549883+0.014388
## [8] train-mlogloss:0.455525+0.005431 test-mlogloss:0.553382+0.014735
## [9] train-mlogloss:0.449083+0.004037 test-mlogloss:0.554454+0.015539
## [10] train-mlogloss:0.441160+0.004425 test-mlogloss:0.557518+0.014666
## [11] train-mlogloss:0.432818+0.005111 test-mlogloss:0.561096+0.014543
## [12] train-mlogloss:0.426693+0.006100 test-mlogloss:0.562225+0.014519
## [13] train-mlogloss:0.419962+0.005838 test-mlogloss:0.565401+0.014964
## [14] train-mlogloss:0.413241+0.005445 test-mlogloss:0.568142+0.014853
## [15] train-mlogloss:0.407472+0.005891 test-mlogloss:0.569397+0.014418
## [16] train-mlogloss:0.400967+0.005965 test-mlogloss:0.572502+0.015495
## [17] train-mlogloss:0.395518+0.006438 test-mlogloss:0.575083+0.016975
## [18] train-mlogloss:0.389986+0.006914 test-mlogloss:0.576576+0.017606
## [19] train-mlogloss:0.384224+0.006261 test-mlogloss:0.577953+0.018331
## [20] train-mlogloss:0.377351+0.005127 test-mlogloss:0.580909+0.018540
## [21] train-mlogloss:0.371581+0.006020 test-mlogloss:0.582370+0.018191
## [22] train-mlogloss:0.365924+0.005363 test-mlogloss:0.584497+0.018298
## [23] train-mlogloss:0.360180+0.005091 test-mlogloss:0.586781+0.018728
## [24] train-mlogloss:0.355677+0.006175 test-mlogloss:0.588639+0.018670
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## [28] train-mlogloss:0.336319+0.006055 test-mlogloss:0.596267+0.018275
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## [30] train-mlogloss:0.326740+0.006620 test-mlogloss:0.602339+0.019195
## [31] train-mlogloss:0.321917+0.006933 test-mlogloss:0.605029+0.019412
## [32] train-mlogloss:0.316166+0.006981 test-mlogloss:0.607259+0.020897
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## [34] train-mlogloss:0.306520+0.005720 test-mlogloss:0.611082+0.020585
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## [36] train-mlogloss:0.296919+0.005165 test-mlogloss:0.615926+0.021913
## [37] train-mlogloss:0.292165+0.005924 test-mlogloss:0.618063+0.022373
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## [39] train-mlogloss:0.283587+0.007760 test-mlogloss:0.622331+0.023316
## [40] train-mlogloss:0.280392+0.008290 test-mlogloss:0.623311+0.023362
## [41] train-mlogloss:0.275440+0.007472 test-mlogloss:0.626736+0.022887
## [42] train-mlogloss:0.271980+0.007308 test-mlogloss:0.628245+0.022654
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## [45] train-mlogloss:0.260445+0.007351 test-mlogloss:0.633995+0.021520
## [46] train-mlogloss:0.255977+0.008506 test-mlogloss:0.636642+0.022999
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## [48] train-mlogloss:0.248243+0.007949 test-mlogloss:0.639619+0.023286
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## [50] train-mlogloss:0.240384+0.007337 test-mlogloss:0.645061+0.022722
## [51] train-mlogloss:0.236068+0.007537 test-mlogloss:0.646968+0.021744
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## [53] train-mlogloss:0.229706+0.007011 test-mlogloss:0.654008+0.023817
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## [56] train-mlogloss:0.220148+0.006503 test-mlogloss:0.660151+0.023111
## [57] train-mlogloss:0.217041+0.006122 test-mlogloss:0.660221+0.024244
## [58] train-mlogloss:0.213736+0.006187 test-mlogloss:0.661396+0.023471
## [59] train-mlogloss:0.210510+0.005666 test-mlogloss:0.662630+0.022664
## [60] train-mlogloss:0.207858+0.005607 test-mlogloss:0.664654+0.023200
## [61] train-mlogloss:0.204446+0.005155 test-mlogloss:0.667915+0.022782
## [62] train-mlogloss:0.201430+0.005435 test-mlogloss:0.672075+0.023790
## [63] train-mlogloss:0.198315+0.005522 test-mlogloss:0.673399+0.025152
## [64] train-mlogloss:0.195383+0.004885 test-mlogloss:0.675184+0.026509
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## [68] train-mlogloss:0.184826+0.005944 test-mlogloss:0.680172+0.026994
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## [70] train-mlogloss:0.179548+0.005564 test-mlogloss:0.684912+0.027428
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## [72] train-mlogloss:0.174528+0.004757 test-mlogloss:0.689477+0.026716
## [73] train-mlogloss:0.172307+0.005136 test-mlogloss:0.691056+0.027811
## [74] train-mlogloss:0.169642+0.005123 test-mlogloss:0.693220+0.028571
## [75] train-mlogloss:0.167258+0.005369 test-mlogloss:0.695491+0.029423
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## [77] train-mlogloss:0.162371+0.005176 test-mlogloss:0.699105+0.029692
## [78] train-mlogloss:0.159971+0.005390 test-mlogloss:0.701341+0.030349
## [79] train-mlogloss:0.157689+0.005633 test-mlogloss:0.702134+0.031111
## [80] train-mlogloss:0.155112+0.005502 test-mlogloss:0.705002+0.032676
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## [83] train-mlogloss:0.148839+0.006122 test-mlogloss:0.709507+0.032748
## [84] train-mlogloss:0.146554+0.006333 test-mlogloss:0.710550+0.032649
## [85] train-mlogloss:0.144064+0.006472 test-mlogloss:0.712023+0.034014
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## [87] train-mlogloss:0.140143+0.006129 test-mlogloss:0.716322+0.032838
## [88] train-mlogloss:0.138059+0.005900 test-mlogloss:0.719731+0.032612
## [89] train-mlogloss:0.136459+0.006344 test-mlogloss:0.722271+0.033229
## [90] train-mlogloss:0.134492+0.006259 test-mlogloss:0.723877+0.033218
## [91] train-mlogloss:0.132941+0.006253 test-mlogloss:0.724638+0.033349
## [92] train-mlogloss:0.131187+0.006024 test-mlogloss:0.725906+0.033248
## [93] train-mlogloss:0.129605+0.005857 test-mlogloss:0.727108+0.034969
## [94] train-mlogloss:0.127894+0.005889 test-mlogloss:0.729527+0.035441
## [95] train-mlogloss:0.125969+0.005924 test-mlogloss:0.732514+0.035572
## [96] train-mlogloss:0.124602+0.005827 test-mlogloss:0.734588+0.035765
## [97] train-mlogloss:0.122844+0.005699 test-mlogloss:0.737350+0.036744
## [98] train-mlogloss:0.121440+0.005838 test-mlogloss:0.740175+0.037248
## [99] train-mlogloss:0.119752+0.005919 test-mlogloss:0.740994+0.037149
## [100] train-mlogloss:0.118182+0.005991 test-mlogloss:0.742368+0.038101
## [101] train-mlogloss:0.116536+0.005506 test-mlogloss:0.744803+0.037635
## [102] train-mlogloss:0.115237+0.005217 test-mlogloss:0.746907+0.037897
## [103] train-mlogloss:0.113505+0.005210 test-mlogloss:0.748844+0.038212
## [104] train-mlogloss:0.112130+0.005096 test-mlogloss:0.750211+0.037261
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## [225] train-mlogloss:0.033041+0.002362 test-mlogloss:0.918702+0.063322
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## [227] train-mlogloss:0.032584+0.002328 test-mlogloss:0.921118+0.063135
## [228] train-mlogloss:0.032289+0.002212 test-mlogloss:0.922419+0.062477
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## [237] train-mlogloss:0.030120+0.002083 test-mlogloss:0.935899+0.064443
## [238] train-mlogloss:0.029880+0.002057 test-mlogloss:0.937690+0.064609
## [239] train-mlogloss:0.029718+0.002057 test-mlogloss:0.938023+0.064693
## [240] train-mlogloss:0.029502+0.002001 test-mlogloss:0.940124+0.064645
## [241] train-mlogloss:0.029249+0.001955 test-mlogloss:0.941626+0.064657
## [242] train-mlogloss:0.029018+0.001942 test-mlogloss:0.942476+0.063881
## [243] train-mlogloss:0.028825+0.001945 test-mlogloss:0.942903+0.064307
## [244] train-mlogloss:0.028611+0.001903 test-mlogloss:0.943460+0.064702
## [245] train-mlogloss:0.028435+0.001907 test-mlogloss:0.944458+0.064750
## [246] train-mlogloss:0.028228+0.001852 test-mlogloss:0.945394+0.064429
## [247] train-mlogloss:0.028022+0.001777 test-mlogloss:0.945247+0.064409
## [248] train-mlogloss:0.027801+0.001715 test-mlogloss:0.946451+0.063090
## [249] train-mlogloss:0.027592+0.001667 test-mlogloss:0.947284+0.064082
## [250] train-mlogloss:0.027370+0.001675 test-mlogloss:0.948710+0.064244
## [251] train-mlogloss:0.027161+0.001644 test-mlogloss:0.949001+0.063940
## [252] train-mlogloss:0.026997+0.001615 test-mlogloss:0.950086+0.063832
## [253] train-mlogloss:0.026794+0.001613 test-mlogloss:0.951050+0.065922
## [254] train-mlogloss:0.026621+0.001614 test-mlogloss:0.952772+0.066656
## [255] train-mlogloss:0.026440+0.001591 test-mlogloss:0.954016+0.065840
## [256] train-mlogloss:0.026241+0.001610 test-mlogloss:0.955844+0.066311
## [257] train-mlogloss:0.026079+0.001608 test-mlogloss:0.957827+0.066987
## [258] train-mlogloss:0.025900+0.001591 test-mlogloss:0.958501+0.067425
## [259] train-mlogloss:0.025733+0.001574 test-mlogloss:0.959220+0.067152
## [260] train-mlogloss:0.025559+0.001577 test-mlogloss:0.960762+0.067430
## [261] train-mlogloss:0.025426+0.001549 test-mlogloss:0.961850+0.067329
## [262] train-mlogloss:0.025226+0.001579 test-mlogloss:0.963313+0.067238
## [263] train-mlogloss:0.025070+0.001555 test-mlogloss:0.963789+0.066505
## [264] train-mlogloss:0.024937+0.001538 test-mlogloss:0.965050+0.066296
## [265] train-mlogloss:0.024775+0.001537 test-mlogloss:0.965566+0.066030
## [266] train-mlogloss:0.024616+0.001525 test-mlogloss:0.967534+0.066063
## [267] train-mlogloss:0.024420+0.001495 test-mlogloss:0.969003+0.066060
## [268] train-mlogloss:0.024264+0.001499 test-mlogloss:0.970182+0.065636
## [269] train-mlogloss:0.024101+0.001464 test-mlogloss:0.971385+0.065947
## [270] train-mlogloss:0.023963+0.001471 test-mlogloss:0.972414+0.066252
## [271] train-mlogloss:0.023826+0.001449 test-mlogloss:0.972875+0.066167
## [272] train-mlogloss:0.023660+0.001461 test-mlogloss:0.974354+0.066873
## [273] train-mlogloss:0.023509+0.001466 test-mlogloss:0.975707+0.066300
## [274] train-mlogloss:0.023370+0.001444 test-mlogloss:0.976175+0.066457
## [275] train-mlogloss:0.023251+0.001434 test-mlogloss:0.977506+0.066702
## [276] train-mlogloss:0.023121+0.001420 test-mlogloss:0.978897+0.068025
## [277] train-mlogloss:0.022978+0.001428 test-mlogloss:0.979915+0.067096
## [278] train-mlogloss:0.022826+0.001437 test-mlogloss:0.980963+0.067564
## [279] train-mlogloss:0.022693+0.001420 test-mlogloss:0.982094+0.067375
## [280] train-mlogloss:0.022566+0.001412 test-mlogloss:0.983013+0.067693
## [281] train-mlogloss:0.022460+0.001387 test-mlogloss:0.983642+0.068420
## [282] train-mlogloss:0.022305+0.001349 test-mlogloss:0.985109+0.068154
## [283] train-mlogloss:0.022171+0.001345 test-mlogloss:0.984991+0.068296
## [284] train-mlogloss:0.022006+0.001324 test-mlogloss:0.986497+0.068134
## [285] train-mlogloss:0.021910+0.001319 test-mlogloss:0.986976+0.067674
## [286] train-mlogloss:0.021765+0.001313 test-mlogloss:0.988732+0.068288
## [287] train-mlogloss:0.021663+0.001323 test-mlogloss:0.989838+0.068414
## [288] train-mlogloss:0.021539+0.001281 test-mlogloss:0.990938+0.067802
## [289] train-mlogloss:0.021400+0.001264 test-mlogloss:0.991669+0.068080
## [290] train-mlogloss:0.021275+0.001244 test-mlogloss:0.992263+0.068116
## [291] train-mlogloss:0.021153+0.001239 test-mlogloss:0.992988+0.068434
## [292] train-mlogloss:0.021033+0.001217 test-mlogloss:0.993317+0.068444
## [293] train-mlogloss:0.020922+0.001175 test-mlogloss:0.993398+0.069003
## [294] train-mlogloss:0.020773+0.001159 test-mlogloss:0.993582+0.069877
## [295] train-mlogloss:0.020672+0.001167 test-mlogloss:0.994190+0.069656
## [296] train-mlogloss:0.020544+0.001186 test-mlogloss:0.995717+0.069554
## [297] train-mlogloss:0.020424+0.001201 test-mlogloss:0.995816+0.069539
## [298] train-mlogloss:0.020319+0.001225 test-mlogloss:0.997466+0.069612
## [299] train-mlogloss:0.020194+0.001226 test-mlogloss:0.998665+0.070899
## [300] train-mlogloss:0.020061+0.001210 test-mlogloss:0.999258+0.072042
## [301] train-mlogloss:0.019951+0.001196 test-mlogloss:0.999387+0.071772
## [302] train-mlogloss:0.019860+0.001173 test-mlogloss:1.000006+0.071153
## [303] train-mlogloss:0.019730+0.001155 test-mlogloss:1.001016+0.072357
## [304] train-mlogloss:0.019591+0.001143 test-mlogloss:1.002713+0.073117
## [305] train-mlogloss:0.019488+0.001118 test-mlogloss:1.004303+0.072065
## [306] train-mlogloss:0.019385+0.001142 test-mlogloss:1.004681+0.071069
## [307] train-mlogloss:0.019300+0.001125 test-mlogloss:1.005795+0.071468
## [308] train-mlogloss:0.019185+0.001123 test-mlogloss:1.007281+0.072094
## [309] train-mlogloss:0.019043+0.001102 test-mlogloss:1.008485+0.071972
## [310] train-mlogloss:0.018927+0.001113 test-mlogloss:1.008472+0.071921
## [311] train-mlogloss:0.018818+0.001122 test-mlogloss:1.009732+0.072876
## [312] train-mlogloss:0.018717+0.001112 test-mlogloss:1.010198+0.072933
## [313] train-mlogloss:0.018609+0.001124 test-mlogloss:1.010854+0.073832
## [314] train-mlogloss:0.018518+0.001110 test-mlogloss:1.011534+0.072245
## [315] train-mlogloss:0.018434+0.001108 test-mlogloss:1.012353+0.072653
## [316] train-mlogloss:0.018336+0.001103 test-mlogloss:1.013437+0.072673
## [317] train-mlogloss:0.018240+0.001112 test-mlogloss:1.014680+0.072309
## [318] train-mlogloss:0.018165+0.001103 test-mlogloss:1.015650+0.073055
## [319] train-mlogloss:0.018050+0.001089 test-mlogloss:1.017251+0.072991
## [320] train-mlogloss:0.017947+0.001056 test-mlogloss:1.018011+0.072503
## [321] train-mlogloss:0.017861+0.001037 test-mlogloss:1.019193+0.072868
## [322] train-mlogloss:0.017785+0.001028 test-mlogloss:1.020224+0.072880
## [323] train-mlogloss:0.017703+0.001023 test-mlogloss:1.020629+0.073258
## [324] train-mlogloss:0.017617+0.001016 test-mlogloss:1.020840+0.073041
## [325] train-mlogloss:0.017511+0.001018 test-mlogloss:1.022476+0.073940
## [326] train-mlogloss:0.017417+0.001019 test-mlogloss:1.023308+0.073898
## [327] train-mlogloss:0.017336+0.001004 test-mlogloss:1.024093+0.073838
## [328] train-mlogloss:0.017246+0.000998 test-mlogloss:1.025200+0.073551
## [329] train-mlogloss:0.017159+0.000989 test-mlogloss:1.026470+0.073778
## [330] train-mlogloss:0.017072+0.000965 test-mlogloss:1.026703+0.073241
## [331] train-mlogloss:0.016986+0.000961 test-mlogloss:1.027128+0.073991
## [332] train-mlogloss:0.016902+0.000966 test-mlogloss:1.028299+0.073403
## [333] train-mlogloss:0.016854+0.000971 test-mlogloss:1.029135+0.073151
## [334] train-mlogloss:0.016780+0.000970 test-mlogloss:1.030192+0.072752
## [335] train-mlogloss:0.016698+0.000963 test-mlogloss:1.031100+0.072642
## [336] train-mlogloss:0.016619+0.000954 test-mlogloss:1.031168+0.072653
## [337] train-mlogloss:0.016548+0.000935 test-mlogloss:1.031664+0.072343
## [338] train-mlogloss:0.016470+0.000932 test-mlogloss:1.033279+0.072882
## [339] train-mlogloss:0.016411+0.000931 test-mlogloss:1.033750+0.072765
## [340] train-mlogloss:0.016335+0.000913 test-mlogloss:1.034897+0.072842
## [341] train-mlogloss:0.016251+0.000907 test-mlogloss:1.035593+0.073078
## [342] train-mlogloss:0.016160+0.000899 test-mlogloss:1.037416+0.073491
## [343] train-mlogloss:0.016069+0.000908 test-mlogloss:1.038302+0.073613
## [344] train-mlogloss:0.015995+0.000909 test-mlogloss:1.039423+0.073524
## [345] train-mlogloss:0.015903+0.000887 test-mlogloss:1.040448+0.072889
## [346] train-mlogloss:0.015841+0.000872 test-mlogloss:1.041591+0.073130
## [347] train-mlogloss:0.015747+0.000857 test-mlogloss:1.041541+0.072182
## [348] train-mlogloss:0.015679+0.000839 test-mlogloss:1.042699+0.072252
## [349] train-mlogloss:0.015610+0.000831 test-mlogloss:1.043296+0.072041
## [350] train-mlogloss:0.015535+0.000827 test-mlogloss:1.043463+0.072363
## [351] train-mlogloss:0.015453+0.000826 test-mlogloss:1.044624+0.072106
## [352] train-mlogloss:0.015383+0.000811 test-mlogloss:1.045887+0.072188
## [353] train-mlogloss:0.015308+0.000800 test-mlogloss:1.046338+0.072344
## [354] train-mlogloss:0.015227+0.000790 test-mlogloss:1.046518+0.071303
## [355] train-mlogloss:0.015155+0.000777 test-mlogloss:1.046815+0.071687
## [356] train-mlogloss:0.015090+0.000773 test-mlogloss:1.046900+0.072197
## [357] train-mlogloss:0.015010+0.000769 test-mlogloss:1.047672+0.072419
## [358] train-mlogloss:0.014954+0.000766 test-mlogloss:1.048289+0.072389
## [359] train-mlogloss:0.014892+0.000759 test-mlogloss:1.048047+0.072484
## [360] train-mlogloss:0.014838+0.000757 test-mlogloss:1.049237+0.071719
## [361] train-mlogloss:0.014773+0.000754 test-mlogloss:1.050229+0.072404
## [362] train-mlogloss:0.014704+0.000750 test-mlogloss:1.051130+0.071665
## [363] train-mlogloss:0.014637+0.000736 test-mlogloss:1.051401+0.071717
## [364] train-mlogloss:0.014568+0.000721 test-mlogloss:1.052581+0.071482
## [365] train-mlogloss:0.014498+0.000719 test-mlogloss:1.053880+0.072226
## [366] train-mlogloss:0.014428+0.000738 test-mlogloss:1.054622+0.072979
## [367] train-mlogloss:0.014367+0.000725 test-mlogloss:1.055566+0.072595
## [368] train-mlogloss:0.014317+0.000710 test-mlogloss:1.056002+0.072984
## [369] train-mlogloss:0.014252+0.000698 test-mlogloss:1.056507+0.073646
## [370] train-mlogloss:0.014192+0.000689 test-mlogloss:1.057047+0.073042
## [371] train-mlogloss:0.014129+0.000686 test-mlogloss:1.056854+0.072427
## [372] train-mlogloss:0.014064+0.000681 test-mlogloss:1.057362+0.071706
## [373] train-mlogloss:0.014013+0.000676 test-mlogloss:1.057557+0.072692
## [374] train-mlogloss:0.013947+0.000662 test-mlogloss:1.058307+0.072339
## [375] train-mlogloss:0.013885+0.000643 test-mlogloss:1.058869+0.072026
## [376] train-mlogloss:0.013827+0.000633 test-mlogloss:1.060184+0.072024
## [377] train-mlogloss:0.013773+0.000642 test-mlogloss:1.060342+0.072122
## [378] train-mlogloss:0.013713+0.000641 test-mlogloss:1.060174+0.072126
## [379] train-mlogloss:0.013651+0.000639 test-mlogloss:1.059982+0.072563
## [380] train-mlogloss:0.013585+0.000631 test-mlogloss:1.060948+0.072250
## [381] train-mlogloss:0.013524+0.000643 test-mlogloss:1.062430+0.072907
## [382] train-mlogloss:0.013473+0.000650 test-mlogloss:1.063181+0.073760
## [383] train-mlogloss:0.013417+0.000642 test-mlogloss:1.063576+0.073186
## [384] train-mlogloss:0.013362+0.000632 test-mlogloss:1.063703+0.073780
## [385] train-mlogloss:0.013313+0.000629 test-mlogloss:1.065108+0.073751
## [386] train-mlogloss:0.013262+0.000619 test-mlogloss:1.066055+0.073665
## [387] train-mlogloss:0.013211+0.000612 test-mlogloss:1.065826+0.072929
## [388] train-mlogloss:0.013162+0.000596 test-mlogloss:1.066345+0.073295
## [389] train-mlogloss:0.013120+0.000596 test-mlogloss:1.067577+0.073473
## [390] train-mlogloss:0.013054+0.000594 test-mlogloss:1.068599+0.074323
## [391] train-mlogloss:0.013010+0.000594 test-mlogloss:1.069028+0.075008
## [392] train-mlogloss:0.012971+0.000598 test-mlogloss:1.070153+0.074710
## [393] train-mlogloss:0.012910+0.000591 test-mlogloss:1.069648+0.075100
## [394] train-mlogloss:0.012860+0.000585 test-mlogloss:1.070836+0.074896
## [395] train-mlogloss:0.012818+0.000576 test-mlogloss:1.071903+0.074953
## [396] train-mlogloss:0.012760+0.000571 test-mlogloss:1.071976+0.076185
## [397] train-mlogloss:0.012713+0.000577 test-mlogloss:1.072604+0.075867
## [398] train-mlogloss:0.012653+0.000569 test-mlogloss:1.073304+0.076487
## [399] train-mlogloss:0.012604+0.000564 test-mlogloss:1.074487+0.077282
## [400] train-mlogloss:0.012545+0.000566 test-mlogloss:1.075784+0.077524
## [401] train-mlogloss:0.012501+0.000554 test-mlogloss:1.076189+0.076465
## [402] train-mlogloss:0.012449+0.000565 test-mlogloss:1.076882+0.076899
## [403] train-mlogloss:0.012397+0.000565 test-mlogloss:1.077579+0.077054
## [404] train-mlogloss:0.012360+0.000558 test-mlogloss:1.078815+0.077406
## [405] train-mlogloss:0.012308+0.000540 test-mlogloss:1.079523+0.076668
## [406] train-mlogloss:0.012262+0.000535 test-mlogloss:1.079806+0.077202
## [407] train-mlogloss:0.012210+0.000530 test-mlogloss:1.080839+0.076940
## [408] train-mlogloss:0.012159+0.000528 test-mlogloss:1.081717+0.076944
## [409] train-mlogloss:0.012108+0.000522 test-mlogloss:1.082112+0.077551
## [410] train-mlogloss:0.012062+0.000515 test-mlogloss:1.082127+0.076763
## [411] train-mlogloss:0.012012+0.000515 test-mlogloss:1.082884+0.076785
## [412] train-mlogloss:0.011957+0.000512 test-mlogloss:1.084180+0.076638
## [413] train-mlogloss:0.011908+0.000495 test-mlogloss:1.084908+0.075875
## [414] train-mlogloss:0.011852+0.000489 test-mlogloss:1.085827+0.075732
## [415] train-mlogloss:0.011798+0.000472 test-mlogloss:1.086995+0.076194
## [416] train-mlogloss:0.011752+0.000468 test-mlogloss:1.088484+0.075809
## [417] train-mlogloss:0.011702+0.000453 test-mlogloss:1.088856+0.075524
## [418] train-mlogloss:0.011659+0.000452 test-mlogloss:1.089672+0.075780
## [419] train-mlogloss:0.011616+0.000459 test-mlogloss:1.090526+0.075781
## [420] train-mlogloss:0.011578+0.000462 test-mlogloss:1.091206+0.075303
## [421] train-mlogloss:0.011532+0.000453 test-mlogloss:1.092560+0.075932
## [422] train-mlogloss:0.011485+0.000450 test-mlogloss:1.093524+0.075735
## [423] train-mlogloss:0.011433+0.000449 test-mlogloss:1.094197+0.077009
## [424] train-mlogloss:0.011392+0.000441 test-mlogloss:1.093968+0.077469
## [425] train-mlogloss:0.011349+0.000445 test-mlogloss:1.095123+0.078122
## [426] train-mlogloss:0.011309+0.000449 test-mlogloss:1.095570+0.077798
## [427] train-mlogloss:0.011271+0.000447 test-mlogloss:1.096602+0.078013
## [428] train-mlogloss:0.011234+0.000445 test-mlogloss:1.097856+0.077800
## [429] train-mlogloss:0.011189+0.000438 test-mlogloss:1.097868+0.077504
## [430] train-mlogloss:0.011144+0.000426 test-mlogloss:1.098130+0.077250
## [431] train-mlogloss:0.011099+0.000416 test-mlogloss:1.098675+0.077733
## [432] train-mlogloss:0.011057+0.000413 test-mlogloss:1.099054+0.078220
## [433] train-mlogloss:0.011015+0.000416 test-mlogloss:1.099430+0.077512
## [434] train-mlogloss:0.010977+0.000412 test-mlogloss:1.100274+0.077954
## [435] train-mlogloss:0.010940+0.000410 test-mlogloss:1.100729+0.078016
## [436] train-mlogloss:0.010899+0.000411 test-mlogloss:1.102094+0.078055
## [437] train-mlogloss:0.010859+0.000406 test-mlogloss:1.102752+0.078988
## [438] train-mlogloss:0.010815+0.000406 test-mlogloss:1.103317+0.078920
## [439] train-mlogloss:0.010784+0.000410 test-mlogloss:1.104802+0.079301
## [440] train-mlogloss:0.010756+0.000413 test-mlogloss:1.105476+0.078582
## [441] train-mlogloss:0.010718+0.000423 test-mlogloss:1.106059+0.078608
## [442] train-mlogloss:0.010686+0.000429 test-mlogloss:1.105837+0.079205
## [443] train-mlogloss:0.010649+0.000432 test-mlogloss:1.107090+0.079555
## [444] train-mlogloss:0.010608+0.000424 test-mlogloss:1.106906+0.078824
## [445] train-mlogloss:0.010572+0.000418 test-mlogloss:1.108160+0.078681
## [446] train-mlogloss:0.010522+0.000409 test-mlogloss:1.108677+0.078821
## [447] train-mlogloss:0.010487+0.000410 test-mlogloss:1.108380+0.078472
## [448] train-mlogloss:0.010457+0.000411 test-mlogloss:1.109151+0.078213
## [449] train-mlogloss:0.010422+0.000402 test-mlogloss:1.109430+0.078261
## [450] train-mlogloss:0.010388+0.000405 test-mlogloss:1.110053+0.079708
## [451] train-mlogloss:0.010356+0.000406 test-mlogloss:1.110091+0.079606
## [452] train-mlogloss:0.010320+0.000400 test-mlogloss:1.110087+0.079804
## [453] train-mlogloss:0.010288+0.000400 test-mlogloss:1.110751+0.079566
## [454] train-mlogloss:0.010250+0.000406 test-mlogloss:1.111848+0.079270
## [455] train-mlogloss:0.010211+0.000402 test-mlogloss:1.112646+0.078658
## [456] train-mlogloss:0.010178+0.000400 test-mlogloss:1.113303+0.078506
## [457] train-mlogloss:0.010140+0.000398 test-mlogloss:1.113878+0.078461
## [458] train-mlogloss:0.010108+0.000391 test-mlogloss:1.114580+0.078510
## [459] train-mlogloss:0.010082+0.000384 test-mlogloss:1.114722+0.078351
## [460] train-mlogloss:0.010055+0.000382 test-mlogloss:1.115445+0.078368
## [461] train-mlogloss:0.010023+0.000382 test-mlogloss:1.116779+0.078157
## [462] train-mlogloss:0.009995+0.000382 test-mlogloss:1.117288+0.078044
## [463] train-mlogloss:0.009971+0.000382 test-mlogloss:1.117664+0.077853
## [464] train-mlogloss:0.009944+0.000384 test-mlogloss:1.117806+0.078608
## [465] train-mlogloss:0.009902+0.000378 test-mlogloss:1.118471+0.078877
## [466] train-mlogloss:0.009874+0.000376 test-mlogloss:1.119422+0.079209
## [467] train-mlogloss:0.009841+0.000368 test-mlogloss:1.119367+0.079062
## [468] train-mlogloss:0.009804+0.000368 test-mlogloss:1.119473+0.078671
## [469] train-mlogloss:0.009780+0.000369 test-mlogloss:1.120033+0.079268
## [470] train-mlogloss:0.009752+0.000376 test-mlogloss:1.121031+0.079456
## [471] train-mlogloss:0.009720+0.000368 test-mlogloss:1.121697+0.079148
## [472] train-mlogloss:0.009689+0.000375 test-mlogloss:1.121877+0.078722
## [473] train-mlogloss:0.009656+0.000367 test-mlogloss:1.122844+0.078987
## [474] train-mlogloss:0.009624+0.000355 test-mlogloss:1.123199+0.079252
## [475] train-mlogloss:0.009592+0.000358 test-mlogloss:1.124416+0.079512
## [476] train-mlogloss:0.009557+0.000352 test-mlogloss:1.125075+0.079490
## [477] train-mlogloss:0.009532+0.000349 test-mlogloss:1.125868+0.079507
## [478] train-mlogloss:0.009503+0.000341 test-mlogloss:1.126955+0.079957
## [479] train-mlogloss:0.009470+0.000339 test-mlogloss:1.127135+0.079963
## [480] train-mlogloss:0.009446+0.000342 test-mlogloss:1.127666+0.080073
## [481] train-mlogloss:0.009420+0.000338 test-mlogloss:1.127549+0.080535
## [482] train-mlogloss:0.009386+0.000337 test-mlogloss:1.127990+0.080593
## [483] train-mlogloss:0.009346+0.000330 test-mlogloss:1.128694+0.080241
## [484] train-mlogloss:0.009313+0.000327 test-mlogloss:1.129850+0.080023
## [485] train-mlogloss:0.009285+0.000320 test-mlogloss:1.130420+0.080402
## [486] train-mlogloss:0.009257+0.000328 test-mlogloss:1.131682+0.080720
## [487] train-mlogloss:0.009232+0.000318 test-mlogloss:1.132364+0.080069
## [488] train-mlogloss:0.009199+0.000322 test-mlogloss:1.132863+0.080050
## [489] train-mlogloss:0.009175+0.000324 test-mlogloss:1.133692+0.080714
## [490] train-mlogloss:0.009151+0.000314 test-mlogloss:1.133699+0.080365
## [491] train-mlogloss:0.009124+0.000315 test-mlogloss:1.134113+0.080683
## [492] train-mlogloss:0.009100+0.000313 test-mlogloss:1.134401+0.080714
## [493] train-mlogloss:0.009072+0.000305 test-mlogloss:1.134685+0.079759
## [494] train-mlogloss:0.009050+0.000303 test-mlogloss:1.134737+0.080408
## [495] train-mlogloss:0.009023+0.000305 test-mlogloss:1.135686+0.080891
## [496] train-mlogloss:0.008991+0.000303 test-mlogloss:1.135978+0.081017
## [497] train-mlogloss:0.008965+0.000301 test-mlogloss:1.136297+0.080879
## [498] train-mlogloss:0.008939+0.000295 test-mlogloss:1.136502+0.080688
## [499] train-mlogloss:0.008911+0.000298 test-mlogloss:1.138354+0.081071
## [500] train-mlogloss:0.008885+0.000299 test-mlogloss:1.138601+0.081804
## [1] train-mlogloss:0.426393+0.002888 test-mlogloss:0.581129+0.003706
## [2] train-mlogloss:0.315465+0.002692 test-mlogloss:0.584544+0.009133
## [3] train-mlogloss:0.247402+0.003293 test-mlogloss:0.602996+0.014517
## [4] train-mlogloss:0.204126+0.005936 test-mlogloss:0.622380+0.015247
## [5] train-mlogloss:0.175319+0.008507 test-mlogloss:0.632803+0.016573
## [6] train-mlogloss:0.150794+0.005595 test-mlogloss:0.648501+0.023477
## [7] train-mlogloss:0.131248+0.005608 test-mlogloss:0.660530+0.024326
## [8] train-mlogloss:0.115654+0.004199 test-mlogloss:0.669896+0.025720
## [9] train-mlogloss:0.104098+0.002886 test-mlogloss:0.679696+0.029033
## [10] train-mlogloss:0.094969+0.002642 test-mlogloss:0.688974+0.030591
## [11] train-mlogloss:0.086326+0.002345 test-mlogloss:0.694729+0.031772
## [12] train-mlogloss:0.077956+0.002044 test-mlogloss:0.705357+0.033765
## [13] train-mlogloss:0.071337+0.001895 test-mlogloss:0.715097+0.033787
## [14] train-mlogloss:0.065700+0.001685 test-mlogloss:0.720928+0.037574
## [15] train-mlogloss:0.061064+0.001171 test-mlogloss:0.728888+0.037666
## [16] train-mlogloss:0.056719+0.001054 test-mlogloss:0.734104+0.037648
## [17] train-mlogloss:0.053098+0.000736 test-mlogloss:0.741032+0.037524
## [18] train-mlogloss:0.049766+0.000724 test-mlogloss:0.747793+0.037775
## [19] train-mlogloss:0.046852+0.000728 test-mlogloss:0.753893+0.037276
## [20] train-mlogloss:0.044303+0.000613 test-mlogloss:0.759855+0.038109
## [21] train-mlogloss:0.042033+0.000584 test-mlogloss:0.763798+0.039833
## [22] train-mlogloss:0.039938+0.000610 test-mlogloss:0.768236+0.041604
## [23] train-mlogloss:0.038078+0.000629 test-mlogloss:0.772839+0.040866
## [24] train-mlogloss:0.036365+0.000576 test-mlogloss:0.777924+0.041958
## [25] train-mlogloss:0.034874+0.000492 test-mlogloss:0.782513+0.040904
## [26] train-mlogloss:0.033488+0.000509 test-mlogloss:0.785747+0.040889
## [27] train-mlogloss:0.032231+0.000489 test-mlogloss:0.790656+0.040964
## [28] train-mlogloss:0.031059+0.000516 test-mlogloss:0.795543+0.040864
## [29] train-mlogloss:0.030015+0.000518 test-mlogloss:0.800200+0.041177
## [30] train-mlogloss:0.028965+0.000465 test-mlogloss:0.803995+0.042834
## [31] train-mlogloss:0.028027+0.000390 test-mlogloss:0.807781+0.043245
## [32] train-mlogloss:0.027160+0.000355 test-mlogloss:0.813146+0.043138
## [33] train-mlogloss:0.026366+0.000355 test-mlogloss:0.815931+0.042917
## [34] train-mlogloss:0.025567+0.000357 test-mlogloss:0.818055+0.042605
## [35] train-mlogloss:0.024884+0.000339 test-mlogloss:0.822189+0.042941
## [36] train-mlogloss:0.024227+0.000296 test-mlogloss:0.825647+0.042996
## [37] train-mlogloss:0.023623+0.000278 test-mlogloss:0.829305+0.042744
## [38] train-mlogloss:0.023025+0.000269 test-mlogloss:0.834034+0.043516
## [39] train-mlogloss:0.022452+0.000257 test-mlogloss:0.837095+0.042827
## [40] train-mlogloss:0.021933+0.000256 test-mlogloss:0.839468+0.042602
## [41] train-mlogloss:0.021446+0.000254 test-mlogloss:0.842826+0.043295
## [42] train-mlogloss:0.020972+0.000237 test-mlogloss:0.844748+0.044328
## [43] train-mlogloss:0.020545+0.000226 test-mlogloss:0.848205+0.044779
## [44] train-mlogloss:0.020123+0.000221 test-mlogloss:0.851051+0.044787
## [45] train-mlogloss:0.019714+0.000208 test-mlogloss:0.853217+0.045369
## [46] train-mlogloss:0.019319+0.000205 test-mlogloss:0.855966+0.044278
## [47] train-mlogloss:0.018946+0.000230 test-mlogloss:0.858322+0.046059
## [48] train-mlogloss:0.018600+0.000238 test-mlogloss:0.861183+0.044967
## [49] train-mlogloss:0.018264+0.000232 test-mlogloss:0.863325+0.044902
## [50] train-mlogloss:0.017940+0.000230 test-mlogloss:0.864934+0.044714
## [51] train-mlogloss:0.017635+0.000222 test-mlogloss:0.868116+0.045690
## [52] train-mlogloss:0.017340+0.000214 test-mlogloss:0.870883+0.044396
## [53] train-mlogloss:0.017047+0.000196 test-mlogloss:0.872843+0.044185
## [54] train-mlogloss:0.016785+0.000188 test-mlogloss:0.874532+0.044290
## [55] train-mlogloss:0.016520+0.000190 test-mlogloss:0.877004+0.044109
## [56] train-mlogloss:0.016275+0.000181 test-mlogloss:0.878760+0.044500
## [57] train-mlogloss:0.016054+0.000184 test-mlogloss:0.879947+0.044433
## [58] train-mlogloss:0.015820+0.000181 test-mlogloss:0.881338+0.044987
## [59] train-mlogloss:0.015592+0.000167 test-mlogloss:0.883653+0.044777
## [60] train-mlogloss:0.015380+0.000157 test-mlogloss:0.886550+0.043699
## [61] train-mlogloss:0.015171+0.000147 test-mlogloss:0.886676+0.043895
## [62] train-mlogloss:0.014957+0.000161 test-mlogloss:0.889239+0.045013
## [63] train-mlogloss:0.014742+0.000162 test-mlogloss:0.890601+0.044478
## [64] train-mlogloss:0.014554+0.000164 test-mlogloss:0.892145+0.044941
## [65] train-mlogloss:0.014370+0.000160 test-mlogloss:0.893332+0.045321
## [66] train-mlogloss:0.014192+0.000148 test-mlogloss:0.896496+0.046488
## [67] train-mlogloss:0.014031+0.000143 test-mlogloss:0.898573+0.046948
## [68] train-mlogloss:0.013862+0.000144 test-mlogloss:0.899872+0.047512
## [69] train-mlogloss:0.013694+0.000139 test-mlogloss:0.901651+0.047874
## [70] train-mlogloss:0.013543+0.000136 test-mlogloss:0.903362+0.048082
## [71] train-mlogloss:0.013387+0.000122 test-mlogloss:0.904553+0.048484
## [72] train-mlogloss:0.013236+0.000119 test-mlogloss:0.906159+0.046953
## [73] train-mlogloss:0.013089+0.000120 test-mlogloss:0.908494+0.047047
## [74] train-mlogloss:0.012956+0.000120 test-mlogloss:0.909690+0.047234
## [75] train-mlogloss:0.012822+0.000117 test-mlogloss:0.911144+0.047459
## [76] train-mlogloss:0.012693+0.000111 test-mlogloss:0.913359+0.047684
## [77] train-mlogloss:0.012558+0.000103 test-mlogloss:0.914227+0.047899
## [78] train-mlogloss:0.012422+0.000109 test-mlogloss:0.914672+0.047613
## [79] train-mlogloss:0.012288+0.000110 test-mlogloss:0.916125+0.047028
## [80] train-mlogloss:0.012177+0.000108 test-mlogloss:0.918077+0.047119
## [81] train-mlogloss:0.012067+0.000111 test-mlogloss:0.918811+0.047328
## [82] train-mlogloss:0.011956+0.000110 test-mlogloss:0.919863+0.048143
## [83] train-mlogloss:0.011849+0.000105 test-mlogloss:0.921032+0.048388
## [84] train-mlogloss:0.011740+0.000106 test-mlogloss:0.921994+0.048377
## [85] train-mlogloss:0.011629+0.000101 test-mlogloss:0.924271+0.046878
## [86] train-mlogloss:0.011523+0.000104 test-mlogloss:0.924768+0.046975
## [87] train-mlogloss:0.011416+0.000097 test-mlogloss:0.925781+0.047475
## [88] train-mlogloss:0.011320+0.000103 test-mlogloss:0.927278+0.047170
## [89] train-mlogloss:0.011217+0.000106 test-mlogloss:0.929133+0.047637
## [90] train-mlogloss:0.011115+0.000103 test-mlogloss:0.930543+0.047541
## [91] train-mlogloss:0.011023+0.000098 test-mlogloss:0.931462+0.046765
## [92] train-mlogloss:0.010925+0.000091 test-mlogloss:0.932645+0.048247
## [93] train-mlogloss:0.010843+0.000095 test-mlogloss:0.933819+0.046745
## [94] train-mlogloss:0.010761+0.000095 test-mlogloss:0.934224+0.047028
## [95] train-mlogloss:0.010671+0.000088 test-mlogloss:0.936252+0.046530
## [96] train-mlogloss:0.010586+0.000087 test-mlogloss:0.937527+0.046788
## [97] train-mlogloss:0.010508+0.000085 test-mlogloss:0.938130+0.047211
## [98] train-mlogloss:0.010428+0.000081 test-mlogloss:0.938943+0.047297
## [99] train-mlogloss:0.010346+0.000079 test-mlogloss:0.940635+0.047210
## [100] train-mlogloss:0.010267+0.000073 test-mlogloss:0.942036+0.047746
## [101] train-mlogloss:0.010190+0.000069 test-mlogloss:0.943368+0.047709
## [102] train-mlogloss:0.010118+0.000066 test-mlogloss:0.944619+0.047615
## [103] train-mlogloss:0.010046+0.000065 test-mlogloss:0.945738+0.047693
## [104] train-mlogloss:0.009977+0.000069 test-mlogloss:0.946757+0.047159
## [105] train-mlogloss:0.009911+0.000070 test-mlogloss:0.947720+0.046917
## [106] train-mlogloss:0.009844+0.000072 test-mlogloss:0.948897+0.047347
## [107] train-mlogloss:0.009772+0.000069 test-mlogloss:0.950013+0.047921
## [108] train-mlogloss:0.009708+0.000067 test-mlogloss:0.951191+0.048782
## [109] train-mlogloss:0.009645+0.000067 test-mlogloss:0.952127+0.048455
## [110] train-mlogloss:0.009583+0.000059 test-mlogloss:0.952248+0.048679
## [111] train-mlogloss:0.009517+0.000060 test-mlogloss:0.953158+0.048392
## [112] train-mlogloss:0.009454+0.000063 test-mlogloss:0.953712+0.048892
## [113] train-mlogloss:0.009397+0.000061 test-mlogloss:0.954741+0.048928
## [114] train-mlogloss:0.009340+0.000058 test-mlogloss:0.955292+0.049496
## [115] train-mlogloss:0.009282+0.000055 test-mlogloss:0.955995+0.050233
## [116] train-mlogloss:0.009231+0.000056 test-mlogloss:0.957482+0.050271
## [117] train-mlogloss:0.009171+0.000057 test-mlogloss:0.959590+0.050270
## [118] train-mlogloss:0.009116+0.000054 test-mlogloss:0.960668+0.050559
## [119] train-mlogloss:0.009059+0.000054 test-mlogloss:0.961940+0.051017
## [120] train-mlogloss:0.009001+0.000053 test-mlogloss:0.963353+0.051235
## [121] train-mlogloss:0.008948+0.000054 test-mlogloss:0.964356+0.050676
## [122] train-mlogloss:0.008895+0.000060 test-mlogloss:0.966431+0.051182
## [123] train-mlogloss:0.008844+0.000054 test-mlogloss:0.967042+0.051396
## [124] train-mlogloss:0.008789+0.000050 test-mlogloss:0.967626+0.050978
## [125] train-mlogloss:0.008740+0.000054 test-mlogloss:0.968681+0.050646
## [126] train-mlogloss:0.008693+0.000052 test-mlogloss:0.970457+0.050937
## [127] train-mlogloss:0.008643+0.000051 test-mlogloss:0.970851+0.051142
## [128] train-mlogloss:0.008600+0.000053 test-mlogloss:0.971619+0.051592
## [129] train-mlogloss:0.008549+0.000051 test-mlogloss:0.973500+0.051246
## [130] train-mlogloss:0.008502+0.000051 test-mlogloss:0.973406+0.051763
## [131] train-mlogloss:0.008451+0.000055 test-mlogloss:0.974613+0.052338
## [132] train-mlogloss:0.008406+0.000054 test-mlogloss:0.976020+0.052246
## [133] train-mlogloss:0.008362+0.000054 test-mlogloss:0.977153+0.052492
## [134] train-mlogloss:0.008315+0.000053 test-mlogloss:0.978281+0.052245
## [135] train-mlogloss:0.008274+0.000052 test-mlogloss:0.978316+0.051670
## [136] train-mlogloss:0.008234+0.000050 test-mlogloss:0.978675+0.051753
## [137] train-mlogloss:0.008190+0.000050 test-mlogloss:0.979507+0.051304
## [138] train-mlogloss:0.008147+0.000054 test-mlogloss:0.980519+0.051197
## [139] train-mlogloss:0.008106+0.000056 test-mlogloss:0.981867+0.050827
## [140] train-mlogloss:0.008061+0.000061 test-mlogloss:0.983556+0.050399
## [141] train-mlogloss:0.008023+0.000058 test-mlogloss:0.983901+0.050351
## [142] train-mlogloss:0.007983+0.000059 test-mlogloss:0.983902+0.050562
## [143] train-mlogloss:0.007946+0.000065 test-mlogloss:0.984472+0.049784
## [144] train-mlogloss:0.007906+0.000062 test-mlogloss:0.985498+0.049464
## [145] train-mlogloss:0.007869+0.000061 test-mlogloss:0.985378+0.049575
## [146] train-mlogloss:0.007828+0.000059 test-mlogloss:0.986364+0.049472
## [147] train-mlogloss:0.007791+0.000055 test-mlogloss:0.986800+0.049812
## [148] train-mlogloss:0.007753+0.000051 test-mlogloss:0.987911+0.049248
## [149] train-mlogloss:0.007717+0.000051 test-mlogloss:0.988778+0.049472
## [150] train-mlogloss:0.007679+0.000053 test-mlogloss:0.989415+0.049117
## [151] train-mlogloss:0.007641+0.000052 test-mlogloss:0.990364+0.049772
## [152] train-mlogloss:0.007603+0.000051 test-mlogloss:0.990893+0.049950
## [153] train-mlogloss:0.007571+0.000051 test-mlogloss:0.991408+0.049761
## [154] train-mlogloss:0.007535+0.000050 test-mlogloss:0.991216+0.049002
## [155] train-mlogloss:0.007502+0.000055 test-mlogloss:0.992512+0.049278
## [156] train-mlogloss:0.007470+0.000055 test-mlogloss:0.992907+0.049472
## [157] train-mlogloss:0.007436+0.000054 test-mlogloss:0.993555+0.049180
## [158] train-mlogloss:0.007404+0.000055 test-mlogloss:0.994272+0.049686
## [159] train-mlogloss:0.007373+0.000058 test-mlogloss:0.995588+0.050208
## [160] train-mlogloss:0.007340+0.000058 test-mlogloss:0.995520+0.049898
## [161] train-mlogloss:0.007311+0.000055 test-mlogloss:0.996004+0.050305
## [162] train-mlogloss:0.007282+0.000053 test-mlogloss:0.996487+0.050959
## [163] train-mlogloss:0.007251+0.000054 test-mlogloss:0.996743+0.051787
## [164] train-mlogloss:0.007219+0.000058 test-mlogloss:0.997666+0.051241
## [165] train-mlogloss:0.007192+0.000059 test-mlogloss:0.998764+0.051060
## [166] train-mlogloss:0.007160+0.000059 test-mlogloss:0.998811+0.050926
## [167] train-mlogloss:0.007132+0.000058 test-mlogloss:1.000068+0.051707
## [168] train-mlogloss:0.007102+0.000058 test-mlogloss:1.000892+0.051720
## [169] train-mlogloss:0.007073+0.000056 test-mlogloss:1.001324+0.051921
## [170] train-mlogloss:0.007044+0.000058 test-mlogloss:1.001896+0.052196
## [171] train-mlogloss:0.007016+0.000056 test-mlogloss:1.002804+0.051433
## [172] train-mlogloss:0.006990+0.000053 test-mlogloss:1.003723+0.051639
## [173] train-mlogloss:0.006963+0.000049 test-mlogloss:1.003787+0.051886
## [174] train-mlogloss:0.006937+0.000047 test-mlogloss:1.004118+0.050878
## [175] train-mlogloss:0.006909+0.000048 test-mlogloss:1.004528+0.051200
## [176] train-mlogloss:0.006884+0.000047 test-mlogloss:1.005362+0.050858
## [177] train-mlogloss:0.006861+0.000046 test-mlogloss:1.006279+0.050462
## [178] train-mlogloss:0.006834+0.000045 test-mlogloss:1.007206+0.051273
## [179] train-mlogloss:0.006811+0.000048 test-mlogloss:1.007544+0.051810
## [180] train-mlogloss:0.006783+0.000048 test-mlogloss:1.008437+0.052489
## [181] train-mlogloss:0.006756+0.000048 test-mlogloss:1.009451+0.052057
## [182] train-mlogloss:0.006732+0.000051 test-mlogloss:1.009319+0.051704
## [183] train-mlogloss:0.006705+0.000050 test-mlogloss:1.010367+0.051888
## [184] train-mlogloss:0.006681+0.000049 test-mlogloss:1.010430+0.051601
## [185] train-mlogloss:0.006658+0.000049 test-mlogloss:1.011336+0.051073
## [186] train-mlogloss:0.006635+0.000050 test-mlogloss:1.011668+0.050335
## [187] train-mlogloss:0.006610+0.000051 test-mlogloss:1.012583+0.050789
## [188] train-mlogloss:0.006588+0.000052 test-mlogloss:1.012518+0.050988
## [189] train-mlogloss:0.006567+0.000052 test-mlogloss:1.013894+0.051429
## [190] train-mlogloss:0.006540+0.000055 test-mlogloss:1.014014+0.051247
## [191] train-mlogloss:0.006517+0.000056 test-mlogloss:1.014716+0.051356
## [192] train-mlogloss:0.006496+0.000056 test-mlogloss:1.015543+0.051815
## [193] train-mlogloss:0.006475+0.000059 test-mlogloss:1.015716+0.051343
## [194] train-mlogloss:0.006454+0.000058 test-mlogloss:1.015423+0.051451
## [195] train-mlogloss:0.006434+0.000056 test-mlogloss:1.015688+0.051656
## [196] train-mlogloss:0.006414+0.000056 test-mlogloss:1.016491+0.051795
## [197] train-mlogloss:0.006391+0.000056 test-mlogloss:1.016391+0.051109
## [198] train-mlogloss:0.006371+0.000056 test-mlogloss:1.017400+0.051573
## [199] train-mlogloss:0.006348+0.000056 test-mlogloss:1.017523+0.051227
## [200] train-mlogloss:0.006327+0.000056 test-mlogloss:1.017451+0.051250
## [201] train-mlogloss:0.006308+0.000055 test-mlogloss:1.018284+0.051030
## [202] train-mlogloss:0.006289+0.000054 test-mlogloss:1.019201+0.050490
## [203] train-mlogloss:0.006268+0.000055 test-mlogloss:1.019755+0.049714
## [204] train-mlogloss:0.006248+0.000054 test-mlogloss:1.020738+0.050164
## [205] train-mlogloss:0.006228+0.000053 test-mlogloss:1.021602+0.050141
## [206] train-mlogloss:0.006208+0.000053 test-mlogloss:1.022294+0.050796
## [207] train-mlogloss:0.006186+0.000052 test-mlogloss:1.022127+0.050934
## [208] train-mlogloss:0.006166+0.000052 test-mlogloss:1.023349+0.051343
## [209] train-mlogloss:0.006146+0.000049 test-mlogloss:1.023224+0.051814
## [210] train-mlogloss:0.006129+0.000051 test-mlogloss:1.023175+0.051674
## [211] train-mlogloss:0.006110+0.000049 test-mlogloss:1.023379+0.051523
## [212] train-mlogloss:0.006094+0.000049 test-mlogloss:1.024315+0.051315
## [213] train-mlogloss:0.006076+0.000050 test-mlogloss:1.024705+0.051100
## [214] train-mlogloss:0.006056+0.000050 test-mlogloss:1.025801+0.051806
## [215] train-mlogloss:0.006040+0.000050 test-mlogloss:1.025872+0.051769
## [216] train-mlogloss:0.006021+0.000050 test-mlogloss:1.026265+0.051395
## [217] train-mlogloss:0.006005+0.000049 test-mlogloss:1.026811+0.051108
## [218] train-mlogloss:0.005986+0.000050 test-mlogloss:1.027348+0.051067
## [219] train-mlogloss:0.005969+0.000050 test-mlogloss:1.028094+0.051195
## [220] train-mlogloss:0.005951+0.000050 test-mlogloss:1.028005+0.051004
## [221] train-mlogloss:0.005935+0.000050 test-mlogloss:1.028589+0.051153
## [222] train-mlogloss:0.005919+0.000050 test-mlogloss:1.029481+0.051174
## [223] train-mlogloss:0.005902+0.000047 test-mlogloss:1.030145+0.051089
## [224] train-mlogloss:0.005884+0.000047 test-mlogloss:1.030673+0.051144
## [225] train-mlogloss:0.005867+0.000047 test-mlogloss:1.031370+0.051513
## [226] train-mlogloss:0.005851+0.000047 test-mlogloss:1.031443+0.051350
## [227] train-mlogloss:0.005835+0.000048 test-mlogloss:1.032042+0.051704
## [228] train-mlogloss:0.005820+0.000047 test-mlogloss:1.032450+0.051803
## [229] train-mlogloss:0.005802+0.000046 test-mlogloss:1.032878+0.052239
## [230] train-mlogloss:0.005787+0.000045 test-mlogloss:1.033180+0.052016
## [231] train-mlogloss:0.005771+0.000046 test-mlogloss:1.033606+0.051711
## [232] train-mlogloss:0.005754+0.000045 test-mlogloss:1.033914+0.051947
## [233] train-mlogloss:0.005741+0.000045 test-mlogloss:1.034465+0.051611
## [234] train-mlogloss:0.005727+0.000044 test-mlogloss:1.035499+0.051886
## [235] train-mlogloss:0.005711+0.000045 test-mlogloss:1.036198+0.051874
## [236] train-mlogloss:0.005696+0.000044 test-mlogloss:1.035835+0.052282
## [237] train-mlogloss:0.005683+0.000045 test-mlogloss:1.035673+0.052658
## [238] train-mlogloss:0.005668+0.000046 test-mlogloss:1.036342+0.052752
## [239] train-mlogloss:0.005653+0.000046 test-mlogloss:1.036863+0.052835
## [240] train-mlogloss:0.005638+0.000046 test-mlogloss:1.037106+0.052907
## [241] train-mlogloss:0.005622+0.000045 test-mlogloss:1.038074+0.053030
## [242] train-mlogloss:0.005609+0.000045 test-mlogloss:1.038723+0.052760
## [243] train-mlogloss:0.005595+0.000044 test-mlogloss:1.038955+0.052824
## [244] train-mlogloss:0.005581+0.000044 test-mlogloss:1.039242+0.052782
## [245] train-mlogloss:0.005566+0.000044 test-mlogloss:1.039360+0.052948
## [246] train-mlogloss:0.005550+0.000045 test-mlogloss:1.040156+0.053211
## [247] train-mlogloss:0.005534+0.000044 test-mlogloss:1.040397+0.053290
## [248] train-mlogloss:0.005521+0.000044 test-mlogloss:1.040675+0.053096
## [249] train-mlogloss:0.005508+0.000045 test-mlogloss:1.041135+0.053014
## [250] train-mlogloss:0.005494+0.000043 test-mlogloss:1.041130+0.053274
## [251] train-mlogloss:0.005481+0.000044 test-mlogloss:1.041725+0.053643
## [252] train-mlogloss:0.005466+0.000043 test-mlogloss:1.041468+0.053453
## [253] train-mlogloss:0.005453+0.000043 test-mlogloss:1.042023+0.053795
## [254] train-mlogloss:0.005439+0.000044 test-mlogloss:1.042364+0.054066
## [255] train-mlogloss:0.005426+0.000043 test-mlogloss:1.042640+0.053891
## [256] train-mlogloss:0.005413+0.000041 test-mlogloss:1.043036+0.053561
## [257] train-mlogloss:0.005400+0.000042 test-mlogloss:1.044013+0.053464
## [258] train-mlogloss:0.005387+0.000040 test-mlogloss:1.044683+0.053304
## [259] train-mlogloss:0.005374+0.000039 test-mlogloss:1.045087+0.053204
## [260] train-mlogloss:0.005362+0.000037 test-mlogloss:1.045242+0.052364
## [261] train-mlogloss:0.005349+0.000037 test-mlogloss:1.046029+0.052152
## [262] train-mlogloss:0.005337+0.000036 test-mlogloss:1.046220+0.051849
## [263] train-mlogloss:0.005324+0.000035 test-mlogloss:1.046506+0.052643
## [264] train-mlogloss:0.005313+0.000033 test-mlogloss:1.046492+0.052929
## [265] train-mlogloss:0.005302+0.000032 test-mlogloss:1.046868+0.052647
## [266] train-mlogloss:0.005290+0.000034 test-mlogloss:1.047326+0.052819
## [267] train-mlogloss:0.005277+0.000032 test-mlogloss:1.048238+0.052353
## [268] train-mlogloss:0.005266+0.000034 test-mlogloss:1.048557+0.051969
## [269] train-mlogloss:0.005253+0.000033 test-mlogloss:1.048343+0.051942
## [270] train-mlogloss:0.005243+0.000032 test-mlogloss:1.048834+0.051987
## [271] train-mlogloss:0.005230+0.000033 test-mlogloss:1.049032+0.052097
## [272] train-mlogloss:0.005218+0.000032 test-mlogloss:1.048674+0.052408
## [273] train-mlogloss:0.005206+0.000032 test-mlogloss:1.049682+0.052665
## [274] train-mlogloss:0.005194+0.000031 test-mlogloss:1.050114+0.053244
## [275] train-mlogloss:0.005183+0.000031 test-mlogloss:1.050463+0.052777
## [276] train-mlogloss:0.005171+0.000030 test-mlogloss:1.050198+0.053003
## [277] train-mlogloss:0.005159+0.000030 test-mlogloss:1.051126+0.052202
## [278] train-mlogloss:0.005147+0.000030 test-mlogloss:1.051246+0.052224
## [279] train-mlogloss:0.005135+0.000030 test-mlogloss:1.051438+0.052482
## [280] train-mlogloss:0.005126+0.000029 test-mlogloss:1.052069+0.052334
## [281] train-mlogloss:0.005114+0.000028 test-mlogloss:1.052620+0.052056
## [282] train-mlogloss:0.005104+0.000028 test-mlogloss:1.053270+0.052181
## [283] train-mlogloss:0.005094+0.000027 test-mlogloss:1.053245+0.052272
## [284] train-mlogloss:0.005085+0.000029 test-mlogloss:1.053961+0.051894
## [285] train-mlogloss:0.005075+0.000029 test-mlogloss:1.054080+0.051768
## [286] train-mlogloss:0.005061+0.000029 test-mlogloss:1.053691+0.051299
## [287] train-mlogloss:0.005049+0.000028 test-mlogloss:1.054164+0.052132
## [288] train-mlogloss:0.005037+0.000028 test-mlogloss:1.055373+0.052503
## [289] train-mlogloss:0.005027+0.000028 test-mlogloss:1.056702+0.052609
## [290] train-mlogloss:0.005015+0.000028 test-mlogloss:1.056974+0.052566
## [291] train-mlogloss:0.005006+0.000029 test-mlogloss:1.057422+0.052122
## [292] train-mlogloss:0.004996+0.000030 test-mlogloss:1.057720+0.052536
## [293] train-mlogloss:0.004985+0.000029 test-mlogloss:1.058601+0.052489
## [294] train-mlogloss:0.004975+0.000028 test-mlogloss:1.058762+0.052516
## [295] train-mlogloss:0.004964+0.000029 test-mlogloss:1.058723+0.052564
## [296] train-mlogloss:0.004955+0.000029 test-mlogloss:1.058662+0.052101
## [297] train-mlogloss:0.004946+0.000030 test-mlogloss:1.059242+0.052665
## [298] train-mlogloss:0.004935+0.000031 test-mlogloss:1.060118+0.053380
## [299] train-mlogloss:0.004924+0.000032 test-mlogloss:1.059677+0.052661
## [300] train-mlogloss:0.004914+0.000031 test-mlogloss:1.060369+0.053501
## [301] train-mlogloss:0.004905+0.000033 test-mlogloss:1.061063+0.053078
## [302] train-mlogloss:0.004894+0.000032 test-mlogloss:1.061483+0.053328
## [303] train-mlogloss:0.004884+0.000030 test-mlogloss:1.061687+0.052578
## [304] train-mlogloss:0.004874+0.000030 test-mlogloss:1.061812+0.052760
## [305] train-mlogloss:0.004866+0.000029 test-mlogloss:1.062227+0.052448
## [306] train-mlogloss:0.004856+0.000030 test-mlogloss:1.062398+0.052194
## [307] train-mlogloss:0.004847+0.000031 test-mlogloss:1.062716+0.052038
## [308] train-mlogloss:0.004838+0.000031 test-mlogloss:1.063036+0.051967
## [309] train-mlogloss:0.004829+0.000030 test-mlogloss:1.063401+0.051839
## [310] train-mlogloss:0.004819+0.000030 test-mlogloss:1.063996+0.052562
## [311] train-mlogloss:0.004810+0.000031 test-mlogloss:1.064439+0.052560
## [312] train-mlogloss:0.004800+0.000031 test-mlogloss:1.065198+0.052360
## [313] train-mlogloss:0.004790+0.000032 test-mlogloss:1.065576+0.052213
## [314] train-mlogloss:0.004782+0.000031 test-mlogloss:1.065763+0.052252
## [315] train-mlogloss:0.004772+0.000031 test-mlogloss:1.066302+0.052795
## [316] train-mlogloss:0.004763+0.000031 test-mlogloss:1.066796+0.052892
## [317] train-mlogloss:0.004754+0.000032 test-mlogloss:1.067271+0.053187
## [318] train-mlogloss:0.004745+0.000032 test-mlogloss:1.067213+0.052693
## [319] train-mlogloss:0.004735+0.000033 test-mlogloss:1.067523+0.052998
## [320] train-mlogloss:0.004726+0.000033 test-mlogloss:1.067691+0.053507
## [321] train-mlogloss:0.004717+0.000033 test-mlogloss:1.068650+0.053653
## [322] train-mlogloss:0.004708+0.000032 test-mlogloss:1.068541+0.053316
## [323] train-mlogloss:0.004698+0.000035 test-mlogloss:1.068871+0.053199
## [324] train-mlogloss:0.004691+0.000035 test-mlogloss:1.068967+0.052814
## [325] train-mlogloss:0.004683+0.000035 test-mlogloss:1.069514+0.053537
## [326] train-mlogloss:0.004674+0.000036 test-mlogloss:1.069162+0.053065
## [327] train-mlogloss:0.004667+0.000034 test-mlogloss:1.069555+0.052758
## [328] train-mlogloss:0.004659+0.000034 test-mlogloss:1.069846+0.053037
## [329] train-mlogloss:0.004651+0.000033 test-mlogloss:1.069853+0.052723
## [330] train-mlogloss:0.004643+0.000032 test-mlogloss:1.069898+0.052895
## [331] train-mlogloss:0.004634+0.000032 test-mlogloss:1.070590+0.053219
## [332] train-mlogloss:0.004625+0.000033 test-mlogloss:1.070597+0.053693
## [333] train-mlogloss:0.004617+0.000033 test-mlogloss:1.070968+0.053590
## [334] train-mlogloss:0.004608+0.000033 test-mlogloss:1.070457+0.053204
## [335] train-mlogloss:0.004601+0.000033 test-mlogloss:1.071140+0.053754
## [336] train-mlogloss:0.004593+0.000033 test-mlogloss:1.071644+0.053773
## [337] train-mlogloss:0.004585+0.000032 test-mlogloss:1.071402+0.053684
## [338] train-mlogloss:0.004577+0.000031 test-mlogloss:1.071745+0.053200
## [339] train-mlogloss:0.004569+0.000032 test-mlogloss:1.072347+0.053460
## [340] train-mlogloss:0.004561+0.000032 test-mlogloss:1.072589+0.054038
## [341] train-mlogloss:0.004553+0.000032 test-mlogloss:1.072417+0.054208
## [342] train-mlogloss:0.004546+0.000032 test-mlogloss:1.072645+0.054236
## [343] train-mlogloss:0.004538+0.000031 test-mlogloss:1.073246+0.054460
## [344] train-mlogloss:0.004530+0.000032 test-mlogloss:1.073123+0.054613
## [345] train-mlogloss:0.004521+0.000031 test-mlogloss:1.073387+0.054056
## [346] train-mlogloss:0.004513+0.000031 test-mlogloss:1.073386+0.054256
## [347] train-mlogloss:0.004505+0.000031 test-mlogloss:1.073819+0.054483
## [348] train-mlogloss:0.004498+0.000031 test-mlogloss:1.074084+0.054718
## [349] train-mlogloss:0.004490+0.000030 test-mlogloss:1.074240+0.054146
## [350] train-mlogloss:0.004483+0.000030 test-mlogloss:1.074430+0.053915
## [351] train-mlogloss:0.004475+0.000030 test-mlogloss:1.074917+0.054132
## [352] train-mlogloss:0.004468+0.000030 test-mlogloss:1.075405+0.054023
## [353] train-mlogloss:0.004460+0.000030 test-mlogloss:1.076156+0.053773
## [354] train-mlogloss:0.004453+0.000030 test-mlogloss:1.076071+0.054301
## [355] train-mlogloss:0.004446+0.000029 test-mlogloss:1.075919+0.054800
## [356] train-mlogloss:0.004438+0.000029 test-mlogloss:1.075894+0.054679
## [357] train-mlogloss:0.004430+0.000028 test-mlogloss:1.076408+0.054546
## [358] train-mlogloss:0.004422+0.000029 test-mlogloss:1.076522+0.053762
## [359] train-mlogloss:0.004414+0.000029 test-mlogloss:1.076864+0.054726
## [360] train-mlogloss:0.004406+0.000029 test-mlogloss:1.077858+0.054148
## [361] train-mlogloss:0.004399+0.000029 test-mlogloss:1.078469+0.054438
## [362] train-mlogloss:0.004393+0.000028 test-mlogloss:1.078835+0.054310
## [363] train-mlogloss:0.004387+0.000028 test-mlogloss:1.079177+0.054212
## [364] train-mlogloss:0.004380+0.000028 test-mlogloss:1.079814+0.054661
## [365] train-mlogloss:0.004373+0.000028 test-mlogloss:1.079994+0.055103
## [366] train-mlogloss:0.004366+0.000027 test-mlogloss:1.079970+0.054877
## [367] train-mlogloss:0.004360+0.000027 test-mlogloss:1.079667+0.054769
## [368] train-mlogloss:0.004354+0.000027 test-mlogloss:1.080527+0.055136
## [369] train-mlogloss:0.004347+0.000027 test-mlogloss:1.081019+0.055358
## [370] train-mlogloss:0.004340+0.000025 test-mlogloss:1.080234+0.055173
## [371] train-mlogloss:0.004334+0.000026 test-mlogloss:1.080034+0.055136
## [372] train-mlogloss:0.004327+0.000026 test-mlogloss:1.080918+0.055759
## [373] train-mlogloss:0.004321+0.000026 test-mlogloss:1.081288+0.055574
## [374] train-mlogloss:0.004314+0.000026 test-mlogloss:1.081232+0.055393
## [375] train-mlogloss:0.004306+0.000025 test-mlogloss:1.081805+0.055706
## [376] train-mlogloss:0.004300+0.000026 test-mlogloss:1.082226+0.056396
## [377] train-mlogloss:0.004294+0.000026 test-mlogloss:1.082697+0.056026
## [378] train-mlogloss:0.004287+0.000027 test-mlogloss:1.082986+0.056693
## [379] train-mlogloss:0.004280+0.000026 test-mlogloss:1.083585+0.057087
## [380] train-mlogloss:0.004274+0.000026 test-mlogloss:1.083436+0.056914
## [381] train-mlogloss:0.004268+0.000027 test-mlogloss:1.083503+0.056935
## [382] train-mlogloss:0.004262+0.000027 test-mlogloss:1.084486+0.056483
## [383] train-mlogloss:0.004255+0.000026 test-mlogloss:1.084793+0.056564
## [384] train-mlogloss:0.004249+0.000026 test-mlogloss:1.084794+0.056196
## [385] train-mlogloss:0.004243+0.000026 test-mlogloss:1.086061+0.056567
## [386] train-mlogloss:0.004237+0.000026 test-mlogloss:1.085878+0.056638
## [387] train-mlogloss:0.004231+0.000025 test-mlogloss:1.086533+0.056530
## [388] train-mlogloss:0.004225+0.000025 test-mlogloss:1.086369+0.056606
## [389] train-mlogloss:0.004219+0.000025 test-mlogloss:1.086186+0.056930
## [390] train-mlogloss:0.004213+0.000026 test-mlogloss:1.086873+0.057215
## [391] train-mlogloss:0.004206+0.000025 test-mlogloss:1.086752+0.057137
## [392] train-mlogloss:0.004201+0.000026 test-mlogloss:1.087408+0.057282
## [393] train-mlogloss:0.004194+0.000025 test-mlogloss:1.087555+0.056812
## [394] train-mlogloss:0.004188+0.000025 test-mlogloss:1.087873+0.056903
## [395] train-mlogloss:0.004181+0.000025 test-mlogloss:1.087824+0.057077
## [396] train-mlogloss:0.004175+0.000024 test-mlogloss:1.088089+0.056928
## [397] train-mlogloss:0.004170+0.000023 test-mlogloss:1.087926+0.056752
## [398] train-mlogloss:0.004163+0.000024 test-mlogloss:1.088346+0.056889
## [399] train-mlogloss:0.004156+0.000025 test-mlogloss:1.088647+0.056834
## [400] train-mlogloss:0.004152+0.000025 test-mlogloss:1.089419+0.056785
## [401] train-mlogloss:0.004146+0.000025 test-mlogloss:1.089212+0.057313
## [402] train-mlogloss:0.004141+0.000024 test-mlogloss:1.089376+0.056992
## [403] train-mlogloss:0.004135+0.000025 test-mlogloss:1.089528+0.056770
## [404] train-mlogloss:0.004128+0.000025 test-mlogloss:1.090020+0.056509
## [405] train-mlogloss:0.004123+0.000023 test-mlogloss:1.090401+0.056411
## [406] train-mlogloss:0.004117+0.000023 test-mlogloss:1.090551+0.056329
## [407] train-mlogloss:0.004111+0.000024 test-mlogloss:1.090424+0.056568
## [408] train-mlogloss:0.004106+0.000024 test-mlogloss:1.090597+0.056711
## [409] train-mlogloss:0.004100+0.000024 test-mlogloss:1.090283+0.056454
## [410] train-mlogloss:0.004094+0.000024 test-mlogloss:1.091545+0.055924
## [411] train-mlogloss:0.004090+0.000024 test-mlogloss:1.091744+0.056451
## [412] train-mlogloss:0.004084+0.000024 test-mlogloss:1.092084+0.056589
## [413] train-mlogloss:0.004078+0.000025 test-mlogloss:1.092310+0.056021
## [414] train-mlogloss:0.004072+0.000025 test-mlogloss:1.092496+0.055912
## [415] train-mlogloss:0.004067+0.000024 test-mlogloss:1.092862+0.055895
## [416] train-mlogloss:0.004061+0.000025 test-mlogloss:1.093177+0.055853
## [417] train-mlogloss:0.004056+0.000025 test-mlogloss:1.093285+0.056480
## [418] train-mlogloss:0.004051+0.000025 test-mlogloss:1.093480+0.056190
## [419] train-mlogloss:0.004046+0.000024 test-mlogloss:1.094304+0.055842
## [420] train-mlogloss:0.004041+0.000025 test-mlogloss:1.093829+0.055893
## [421] train-mlogloss:0.004034+0.000024 test-mlogloss:1.093448+0.055415
## [422] train-mlogloss:0.004028+0.000025 test-mlogloss:1.094181+0.055983
## [423] train-mlogloss:0.004023+0.000025 test-mlogloss:1.094771+0.055552
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## [425] train-mlogloss:0.004012+0.000025 test-mlogloss:1.094196+0.055463
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## [427] train-mlogloss:0.004002+0.000024 test-mlogloss:1.095098+0.055937
## [428] train-mlogloss:0.003997+0.000024 test-mlogloss:1.095403+0.056146
## [429] train-mlogloss:0.003992+0.000023 test-mlogloss:1.095378+0.056102
## [430] train-mlogloss:0.003987+0.000022 test-mlogloss:1.095945+0.055912
## [431] train-mlogloss:0.003982+0.000022 test-mlogloss:1.096654+0.056237
## [432] train-mlogloss:0.003977+0.000023 test-mlogloss:1.096443+0.056063
## [433] train-mlogloss:0.003973+0.000022 test-mlogloss:1.096545+0.056922
## [434] train-mlogloss:0.003968+0.000023 test-mlogloss:1.096901+0.057061
## [435] train-mlogloss:0.003963+0.000022 test-mlogloss:1.097204+0.056607
## [436] train-mlogloss:0.003958+0.000023 test-mlogloss:1.097815+0.056671
## [437] train-mlogloss:0.003953+0.000022 test-mlogloss:1.098122+0.056485
## [438] train-mlogloss:0.003948+0.000023 test-mlogloss:1.097926+0.056492
## [439] train-mlogloss:0.003943+0.000023 test-mlogloss:1.098481+0.055975
## [440] train-mlogloss:0.003938+0.000023 test-mlogloss:1.098395+0.056582
## [441] train-mlogloss:0.003933+0.000023 test-mlogloss:1.099141+0.056395
## [442] train-mlogloss:0.003928+0.000023 test-mlogloss:1.099149+0.055919
## [443] train-mlogloss:0.003923+0.000024 test-mlogloss:1.099338+0.056238
## [444] train-mlogloss:0.003918+0.000024 test-mlogloss:1.099372+0.056420
## [445] train-mlogloss:0.003912+0.000024 test-mlogloss:1.099623+0.056453
## [446] train-mlogloss:0.003906+0.000024 test-mlogloss:1.099673+0.055908
## [447] train-mlogloss:0.003901+0.000024 test-mlogloss:1.099737+0.056467
## [448] train-mlogloss:0.003896+0.000024 test-mlogloss:1.099812+0.056514
## [449] train-mlogloss:0.003892+0.000024 test-mlogloss:1.099594+0.055980
## [450] train-mlogloss:0.003886+0.000023 test-mlogloss:1.100501+0.055934
## [451] train-mlogloss:0.003882+0.000024 test-mlogloss:1.101062+0.056248
## [452] train-mlogloss:0.003877+0.000025 test-mlogloss:1.100948+0.055672
## [453] train-mlogloss:0.003872+0.000024 test-mlogloss:1.101487+0.055721
## [454] train-mlogloss:0.003867+0.000025 test-mlogloss:1.101851+0.055530
## [455] train-mlogloss:0.003863+0.000024 test-mlogloss:1.101847+0.055554
## [456] train-mlogloss:0.003858+0.000024 test-mlogloss:1.101565+0.055378
## [457] train-mlogloss:0.003854+0.000024 test-mlogloss:1.101861+0.055515
## [458] train-mlogloss:0.003849+0.000024 test-mlogloss:1.102213+0.055954
## [459] train-mlogloss:0.003844+0.000024 test-mlogloss:1.102744+0.056327
## [460] train-mlogloss:0.003839+0.000024 test-mlogloss:1.102874+0.056128
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## [462] train-mlogloss:0.003830+0.000024 test-mlogloss:1.103500+0.056345
## [463] train-mlogloss:0.003826+0.000024 test-mlogloss:1.102911+0.056639
## [464] train-mlogloss:0.003822+0.000024 test-mlogloss:1.103116+0.056883
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## [466] train-mlogloss:0.003812+0.000024 test-mlogloss:1.103559+0.056794
## [467] train-mlogloss:0.003808+0.000025 test-mlogloss:1.103911+0.056737
## [468] train-mlogloss:0.003804+0.000024 test-mlogloss:1.104609+0.057177
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## [470] train-mlogloss:0.003795+0.000024 test-mlogloss:1.105086+0.058037
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## [477] train-mlogloss:0.003765+0.000023 test-mlogloss:1.105973+0.058037
## [478] train-mlogloss:0.003760+0.000023 test-mlogloss:1.106032+0.058379
## [479] train-mlogloss:0.003757+0.000023 test-mlogloss:1.106143+0.057893
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## [481] train-mlogloss:0.003749+0.000023 test-mlogloss:1.106850+0.058696
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## [483] train-mlogloss:0.003741+0.000023 test-mlogloss:1.107204+0.057937
## [484] train-mlogloss:0.003735+0.000024 test-mlogloss:1.107166+0.057778
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## [486] train-mlogloss:0.003727+0.000025 test-mlogloss:1.108434+0.058058
## [487] train-mlogloss:0.003723+0.000025 test-mlogloss:1.108441+0.058157
## [488] train-mlogloss:0.003719+0.000025 test-mlogloss:1.107916+0.058110
## [489] train-mlogloss:0.003716+0.000026 test-mlogloss:1.107831+0.058375
## [490] train-mlogloss:0.003712+0.000026 test-mlogloss:1.108271+0.057759
## [491] train-mlogloss:0.003707+0.000025 test-mlogloss:1.108347+0.057587
## [492] train-mlogloss:0.003703+0.000025 test-mlogloss:1.108348+0.057525
## [493] train-mlogloss:0.003699+0.000024 test-mlogloss:1.108399+0.057301
## [494] train-mlogloss:0.003696+0.000025 test-mlogloss:1.108957+0.057683
## [495] train-mlogloss:0.003691+0.000024 test-mlogloss:1.109546+0.058008
## [496] train-mlogloss:0.003686+0.000024 test-mlogloss:1.109314+0.056995
## [497] train-mlogloss:0.003682+0.000023 test-mlogloss:1.109105+0.057580
## [498] train-mlogloss:0.003679+0.000023 test-mlogloss:1.109672+0.057299
## [499] train-mlogloss:0.003675+0.000024 test-mlogloss:1.109978+0.057552
## [500] train-mlogloss:0.003671+0.000025 test-mlogloss:1.111077+0.058069
## [1] train-mlogloss:0.522157+0.002580 test-mlogloss:0.545993+0.008772
## [2] train-mlogloss:0.500952+0.002640 test-mlogloss:0.542961+0.009882
## [3] train-mlogloss:0.490090+0.002989 test-mlogloss:0.545644+0.010664
## [4] train-mlogloss:0.479530+0.004153 test-mlogloss:0.551995+0.009070
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## [6] train-mlogloss:0.460525+0.005258 test-mlogloss:0.563147+0.010458
## [7] train-mlogloss:0.452564+0.006706 test-mlogloss:0.566218+0.010353
## [8] train-mlogloss:0.443430+0.008098 test-mlogloss:0.567649+0.012183
## [9] train-mlogloss:0.437366+0.009341 test-mlogloss:0.570117+0.011299
## [10] train-mlogloss:0.428954+0.008858 test-mlogloss:0.572267+0.011728
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## [12] train-mlogloss:0.415555+0.008635 test-mlogloss:0.578324+0.011388
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## [14] train-mlogloss:0.401541+0.008972 test-mlogloss:0.585066+0.011838
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## [18] train-mlogloss:0.375595+0.009589 test-mlogloss:0.595830+0.011774
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## [20] train-mlogloss:0.363550+0.008992 test-mlogloss:0.602984+0.009876
## [21] train-mlogloss:0.357960+0.007589 test-mlogloss:0.603511+0.011397
## [22] train-mlogloss:0.351199+0.007110 test-mlogloss:0.608615+0.010009
## [23] train-mlogloss:0.345175+0.005797 test-mlogloss:0.612267+0.008867
## [24] train-mlogloss:0.338447+0.004607 test-mlogloss:0.617682+0.008160
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## [27] train-mlogloss:0.319430+0.004657 test-mlogloss:0.628697+0.010408
## [28] train-mlogloss:0.313567+0.005165 test-mlogloss:0.629965+0.011598
## [29] train-mlogloss:0.308167+0.004729 test-mlogloss:0.631601+0.009656
## [30] train-mlogloss:0.300854+0.004181 test-mlogloss:0.635498+0.010451
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## [32] train-mlogloss:0.290188+0.004848 test-mlogloss:0.643805+0.010489
## [33] train-mlogloss:0.284969+0.004048 test-mlogloss:0.647173+0.011146
## [34] train-mlogloss:0.279456+0.004545 test-mlogloss:0.649643+0.013174
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## [37] train-mlogloss:0.262448+0.007202 test-mlogloss:0.658927+0.010707
## [38] train-mlogloss:0.257080+0.006241 test-mlogloss:0.660386+0.010176
## [39] train-mlogloss:0.252913+0.006573 test-mlogloss:0.663543+0.009906
## [40] train-mlogloss:0.247871+0.007018 test-mlogloss:0.666611+0.009603
## [41] train-mlogloss:0.242878+0.006461 test-mlogloss:0.669143+0.010436
## [42] train-mlogloss:0.237981+0.007028 test-mlogloss:0.671730+0.010309
## [43] train-mlogloss:0.233901+0.006935 test-mlogloss:0.674307+0.011293
## [44] train-mlogloss:0.229415+0.006455 test-mlogloss:0.677806+0.010608
## [45] train-mlogloss:0.225102+0.005090 test-mlogloss:0.681111+0.010322
## [46] train-mlogloss:0.221576+0.004775 test-mlogloss:0.685113+0.011384
## [47] train-mlogloss:0.217368+0.004686 test-mlogloss:0.686737+0.011566
## [48] train-mlogloss:0.214392+0.004731 test-mlogloss:0.688302+0.010885
## [49] train-mlogloss:0.210631+0.004539 test-mlogloss:0.690232+0.010359
## [50] train-mlogloss:0.206780+0.004951 test-mlogloss:0.693837+0.010096
## [51] train-mlogloss:0.202460+0.004478 test-mlogloss:0.697561+0.008663
## [52] train-mlogloss:0.198620+0.004551 test-mlogloss:0.700144+0.010372
## [53] train-mlogloss:0.195432+0.004783 test-mlogloss:0.703773+0.011263
## [54] train-mlogloss:0.191701+0.004517 test-mlogloss:0.706028+0.011075
## [55] train-mlogloss:0.187960+0.004084 test-mlogloss:0.711691+0.011067
## [56] train-mlogloss:0.184827+0.004478 test-mlogloss:0.715710+0.010707
## [57] train-mlogloss:0.181161+0.005053 test-mlogloss:0.717809+0.012063
## [58] train-mlogloss:0.177500+0.005169 test-mlogloss:0.720358+0.012725
## [59] train-mlogloss:0.174329+0.005192 test-mlogloss:0.724776+0.011688
## [60] train-mlogloss:0.171069+0.006088 test-mlogloss:0.728164+0.012268
## [61] train-mlogloss:0.168199+0.006000 test-mlogloss:0.730202+0.011636
## [62] train-mlogloss:0.165825+0.005800 test-mlogloss:0.731913+0.013277
## [63] train-mlogloss:0.163195+0.005633 test-mlogloss:0.733480+0.012964
## [64] train-mlogloss:0.160323+0.004813 test-mlogloss:0.735467+0.014419
## [65] train-mlogloss:0.156754+0.005077 test-mlogloss:0.737721+0.012439
## [66] train-mlogloss:0.154036+0.005133 test-mlogloss:0.740439+0.011046
## [67] train-mlogloss:0.151940+0.005236 test-mlogloss:0.743524+0.011770
## [68] train-mlogloss:0.149602+0.004900 test-mlogloss:0.746448+0.011348
## [69] train-mlogloss:0.147192+0.005062 test-mlogloss:0.749620+0.011060
## [70] train-mlogloss:0.144878+0.004869 test-mlogloss:0.751449+0.011363
## [71] train-mlogloss:0.142143+0.004521 test-mlogloss:0.755084+0.010418
## [72] train-mlogloss:0.139554+0.004160 test-mlogloss:0.756251+0.011624
## [73] train-mlogloss:0.137289+0.004558 test-mlogloss:0.758306+0.013989
## [74] train-mlogloss:0.135003+0.004007 test-mlogloss:0.761019+0.013108
## [75] train-mlogloss:0.132649+0.003619 test-mlogloss:0.764072+0.011448
## [76] train-mlogloss:0.130526+0.003937 test-mlogloss:0.766736+0.010810
## [77] train-mlogloss:0.127925+0.003699 test-mlogloss:0.767189+0.011024
## [78] train-mlogloss:0.125838+0.003785 test-mlogloss:0.769094+0.007802
## [79] train-mlogloss:0.123696+0.003985 test-mlogloss:0.771584+0.007124
## [80] train-mlogloss:0.121693+0.003914 test-mlogloss:0.774213+0.009558
## [81] train-mlogloss:0.119877+0.003833 test-mlogloss:0.775088+0.011391
## [82] train-mlogloss:0.117354+0.004088 test-mlogloss:0.778103+0.012492
## [83] train-mlogloss:0.115437+0.003865 test-mlogloss:0.782113+0.011722
## [84] train-mlogloss:0.113607+0.003842 test-mlogloss:0.784299+0.012093
## [85] train-mlogloss:0.111883+0.003670 test-mlogloss:0.786058+0.013538
## [86] train-mlogloss:0.110155+0.003165 test-mlogloss:0.788336+0.013959
## [87] train-mlogloss:0.108503+0.002554 test-mlogloss:0.790297+0.013335
## [88] train-mlogloss:0.106579+0.002757 test-mlogloss:0.792310+0.012302
## [89] train-mlogloss:0.105040+0.002457 test-mlogloss:0.795186+0.012671
## [90] train-mlogloss:0.103370+0.002500 test-mlogloss:0.798253+0.013256
## [91] train-mlogloss:0.101586+0.002504 test-mlogloss:0.799670+0.012885
## [92] train-mlogloss:0.099796+0.002404 test-mlogloss:0.801572+0.013027
## [93] train-mlogloss:0.097924+0.002078 test-mlogloss:0.803721+0.014139
## [94] train-mlogloss:0.096325+0.001926 test-mlogloss:0.806639+0.015555
## [95] train-mlogloss:0.094388+0.001890 test-mlogloss:0.809509+0.014995
## [96] train-mlogloss:0.093122+0.001813 test-mlogloss:0.811572+0.013418
## [97] train-mlogloss:0.091539+0.001845 test-mlogloss:0.813283+0.012526
## [98] train-mlogloss:0.090195+0.001943 test-mlogloss:0.815733+0.014247
## [99] train-mlogloss:0.088840+0.001779 test-mlogloss:0.818156+0.014748
## [100] train-mlogloss:0.087494+0.001919 test-mlogloss:0.819546+0.013284
## [101] train-mlogloss:0.086392+0.001838 test-mlogloss:0.821581+0.013141
## [102] train-mlogloss:0.084901+0.001471 test-mlogloss:0.823876+0.015049
## [103] train-mlogloss:0.083515+0.001162 test-mlogloss:0.824704+0.016234
## [104] train-mlogloss:0.082245+0.001225 test-mlogloss:0.826122+0.017388
## [105] train-mlogloss:0.080808+0.001391 test-mlogloss:0.827810+0.018588
## [106] train-mlogloss:0.079384+0.001303 test-mlogloss:0.830053+0.017563
## [107] train-mlogloss:0.078330+0.001486 test-mlogloss:0.832428+0.018240
## [108] train-mlogloss:0.077186+0.001529 test-mlogloss:0.833448+0.018156
## [109] train-mlogloss:0.076281+0.001511 test-mlogloss:0.834597+0.018240
## [110] train-mlogloss:0.075141+0.001370 test-mlogloss:0.836754+0.019274
## [111] train-mlogloss:0.073927+0.001299 test-mlogloss:0.838766+0.018579
## [112] train-mlogloss:0.072920+0.001344 test-mlogloss:0.839986+0.018762
## [113] train-mlogloss:0.071843+0.001179 test-mlogloss:0.845239+0.017358
## [114] train-mlogloss:0.070661+0.001109 test-mlogloss:0.846502+0.015720
## [115] train-mlogloss:0.069686+0.001109 test-mlogloss:0.849000+0.015209
## [116] train-mlogloss:0.068781+0.001139 test-mlogloss:0.850313+0.016825
## [117] train-mlogloss:0.067737+0.001011 test-mlogloss:0.852406+0.016488
## [118] train-mlogloss:0.066647+0.001027 test-mlogloss:0.855481+0.016279
## [119] train-mlogloss:0.065775+0.000926 test-mlogloss:0.857594+0.016183
## [120] train-mlogloss:0.064751+0.000814 test-mlogloss:0.859124+0.015192
## [121] train-mlogloss:0.063962+0.000601 test-mlogloss:0.861181+0.016046
## [122] train-mlogloss:0.063221+0.000591 test-mlogloss:0.861434+0.016714
## [123] train-mlogloss:0.062439+0.000706 test-mlogloss:0.863347+0.017799
## [124] train-mlogloss:0.061654+0.000759 test-mlogloss:0.866116+0.017367
## [125] train-mlogloss:0.060949+0.000796 test-mlogloss:0.867286+0.018045
## [126] train-mlogloss:0.060138+0.000811 test-mlogloss:0.868857+0.018813
## [127] train-mlogloss:0.059362+0.000780 test-mlogloss:0.870348+0.019114
## [128] train-mlogloss:0.058426+0.000871 test-mlogloss:0.869619+0.019973
## [129] train-mlogloss:0.057636+0.000846 test-mlogloss:0.872765+0.019855
## [130] train-mlogloss:0.056987+0.000993 test-mlogloss:0.873250+0.018979
## [131] train-mlogloss:0.056090+0.001011 test-mlogloss:0.875196+0.019185
## [132] train-mlogloss:0.055447+0.001060 test-mlogloss:0.876430+0.019614
## [133] train-mlogloss:0.054714+0.001075 test-mlogloss:0.878757+0.018763
## [134] train-mlogloss:0.054024+0.001098 test-mlogloss:0.880955+0.018777
## [135] train-mlogloss:0.053152+0.001015 test-mlogloss:0.883577+0.018672
## [136] train-mlogloss:0.052455+0.000877 test-mlogloss:0.884228+0.018355
## [137] train-mlogloss:0.051797+0.000866 test-mlogloss:0.887260+0.019252
## [138] train-mlogloss:0.051101+0.000891 test-mlogloss:0.889456+0.019077
## [139] train-mlogloss:0.050412+0.000777 test-mlogloss:0.890770+0.018032
## [140] train-mlogloss:0.049776+0.000909 test-mlogloss:0.891011+0.018256
## [141] train-mlogloss:0.049111+0.001016 test-mlogloss:0.893098+0.019207
## [142] train-mlogloss:0.048521+0.001084 test-mlogloss:0.896370+0.019688
## [143] train-mlogloss:0.048060+0.001196 test-mlogloss:0.897587+0.019307
## [144] train-mlogloss:0.047454+0.001163 test-mlogloss:0.898717+0.019316
## [145] train-mlogloss:0.046881+0.001128 test-mlogloss:0.901161+0.020037
## [146] train-mlogloss:0.046404+0.001130 test-mlogloss:0.903531+0.019407
## [147] train-mlogloss:0.045716+0.001179 test-mlogloss:0.905624+0.019954
## [148] train-mlogloss:0.045184+0.001178 test-mlogloss:0.908148+0.020098
## [149] train-mlogloss:0.044677+0.001197 test-mlogloss:0.910391+0.020593
## [150] train-mlogloss:0.044187+0.001065 test-mlogloss:0.909549+0.021533
## [151] train-mlogloss:0.043759+0.000994 test-mlogloss:0.910709+0.021547
## [152] train-mlogloss:0.043171+0.000913 test-mlogloss:0.912502+0.020729
## [153] train-mlogloss:0.042647+0.000871 test-mlogloss:0.914533+0.021115
## [154] train-mlogloss:0.042168+0.000887 test-mlogloss:0.916192+0.020957
## [155] train-mlogloss:0.041795+0.000827 test-mlogloss:0.917608+0.020072
## [156] train-mlogloss:0.041273+0.000806 test-mlogloss:0.918829+0.021265
## [157] train-mlogloss:0.040772+0.000822 test-mlogloss:0.920135+0.020693
## [158] train-mlogloss:0.040286+0.000769 test-mlogloss:0.921531+0.019506
## [159] train-mlogloss:0.039861+0.000772 test-mlogloss:0.923356+0.018793
## [160] train-mlogloss:0.039398+0.000869 test-mlogloss:0.924388+0.017393
## [161] train-mlogloss:0.038915+0.000841 test-mlogloss:0.925069+0.017065
## [162] train-mlogloss:0.038485+0.000817 test-mlogloss:0.927188+0.018040
## [163] train-mlogloss:0.038085+0.000887 test-mlogloss:0.929557+0.018546
## [164] train-mlogloss:0.037822+0.000900 test-mlogloss:0.931448+0.018155
## [165] train-mlogloss:0.037395+0.000938 test-mlogloss:0.932753+0.017648
## [166] train-mlogloss:0.037025+0.000989 test-mlogloss:0.934833+0.017928
## [167] train-mlogloss:0.036696+0.000976 test-mlogloss:0.936128+0.018886
## [168] train-mlogloss:0.036282+0.000989 test-mlogloss:0.938792+0.019211
## [169] train-mlogloss:0.035853+0.000906 test-mlogloss:0.940933+0.018481
## [170] train-mlogloss:0.035465+0.000827 test-mlogloss:0.942332+0.016128
## [171] train-mlogloss:0.035077+0.000835 test-mlogloss:0.944174+0.016683
## [172] train-mlogloss:0.034765+0.000830 test-mlogloss:0.946632+0.017384
## [173] train-mlogloss:0.034495+0.000769 test-mlogloss:0.947790+0.019027
## [174] train-mlogloss:0.034195+0.000761 test-mlogloss:0.948967+0.018407
## [175] train-mlogloss:0.033847+0.000841 test-mlogloss:0.949986+0.018823
## [176] train-mlogloss:0.033517+0.000824 test-mlogloss:0.952306+0.019312
## [177] train-mlogloss:0.033186+0.000899 test-mlogloss:0.953383+0.021171
## [178] train-mlogloss:0.032858+0.000851 test-mlogloss:0.954914+0.020938
## [179] train-mlogloss:0.032557+0.000823 test-mlogloss:0.957249+0.021137
## [180] train-mlogloss:0.032221+0.000921 test-mlogloss:0.958198+0.021277
## [181] train-mlogloss:0.031898+0.000901 test-mlogloss:0.959721+0.020222
## [182] train-mlogloss:0.031555+0.000873 test-mlogloss:0.960748+0.021066
## [183] train-mlogloss:0.031266+0.000832 test-mlogloss:0.963113+0.021175
## [184] train-mlogloss:0.031008+0.000840 test-mlogloss:0.963953+0.021077
## [185] train-mlogloss:0.030642+0.000761 test-mlogloss:0.966253+0.020004
## [186] train-mlogloss:0.030359+0.000722 test-mlogloss:0.968617+0.019945
## [187] train-mlogloss:0.030044+0.000720 test-mlogloss:0.970176+0.019546
## [188] train-mlogloss:0.029748+0.000658 test-mlogloss:0.970701+0.019735
## [189] train-mlogloss:0.029446+0.000627 test-mlogloss:0.973831+0.018417
## [190] train-mlogloss:0.029168+0.000637 test-mlogloss:0.974255+0.017823
## [191] train-mlogloss:0.028919+0.000628 test-mlogloss:0.975189+0.018441
## [192] train-mlogloss:0.028664+0.000623 test-mlogloss:0.977112+0.018041
## [193] train-mlogloss:0.028401+0.000593 test-mlogloss:0.979397+0.017877
## [194] train-mlogloss:0.028133+0.000641 test-mlogloss:0.981866+0.016347
## [195] train-mlogloss:0.027908+0.000636 test-mlogloss:0.982605+0.016660
## [196] train-mlogloss:0.027673+0.000591 test-mlogloss:0.983957+0.017245
## [197] train-mlogloss:0.027337+0.000585 test-mlogloss:0.987229+0.017057
## [198] train-mlogloss:0.027059+0.000597 test-mlogloss:0.988635+0.017389
## [199] train-mlogloss:0.026828+0.000589 test-mlogloss:0.989031+0.017023
## [200] train-mlogloss:0.026558+0.000624 test-mlogloss:0.990814+0.016356
## [201] train-mlogloss:0.026296+0.000646 test-mlogloss:0.992019+0.017368
## [202] train-mlogloss:0.026041+0.000634 test-mlogloss:0.993129+0.017194
## [203] train-mlogloss:0.025856+0.000664 test-mlogloss:0.993914+0.016867
## [204] train-mlogloss:0.025603+0.000677 test-mlogloss:0.995827+0.018088
## [205] train-mlogloss:0.025416+0.000657 test-mlogloss:0.995949+0.019026
## [206] train-mlogloss:0.025195+0.000651 test-mlogloss:0.996499+0.018759
## [207] train-mlogloss:0.024980+0.000637 test-mlogloss:0.997760+0.018829
## [208] train-mlogloss:0.024787+0.000625 test-mlogloss:0.999129+0.019918
## [209] train-mlogloss:0.024569+0.000632 test-mlogloss:0.999694+0.019574
## [210] train-mlogloss:0.024338+0.000601 test-mlogloss:1.002307+0.018731
## [211] train-mlogloss:0.024144+0.000569 test-mlogloss:1.004517+0.018140
## [212] train-mlogloss:0.023931+0.000587 test-mlogloss:1.004385+0.018331
## [213] train-mlogloss:0.023694+0.000604 test-mlogloss:1.006371+0.018546
## [214] train-mlogloss:0.023534+0.000601 test-mlogloss:1.007155+0.019289
## [215] train-mlogloss:0.023375+0.000573 test-mlogloss:1.008667+0.018794
## [216] train-mlogloss:0.023191+0.000573 test-mlogloss:1.009125+0.019688
## [217] train-mlogloss:0.022985+0.000549 test-mlogloss:1.011651+0.019401
## [218] train-mlogloss:0.022786+0.000528 test-mlogloss:1.012973+0.019043
## [219] train-mlogloss:0.022594+0.000541 test-mlogloss:1.012908+0.019138
## [220] train-mlogloss:0.022381+0.000546 test-mlogloss:1.014764+0.019642
## [221] train-mlogloss:0.022230+0.000525 test-mlogloss:1.016146+0.018143
## [222] train-mlogloss:0.022078+0.000544 test-mlogloss:1.017424+0.016823
## [223] train-mlogloss:0.021932+0.000520 test-mlogloss:1.018599+0.017054
## [224] train-mlogloss:0.021782+0.000481 test-mlogloss:1.019396+0.017780
## [225] train-mlogloss:0.021593+0.000456 test-mlogloss:1.020941+0.018088
## [226] train-mlogloss:0.021436+0.000477 test-mlogloss:1.022928+0.017697
## [227] train-mlogloss:0.021281+0.000458 test-mlogloss:1.024299+0.018031
## [228] train-mlogloss:0.021115+0.000444 test-mlogloss:1.024688+0.018831
## [229] train-mlogloss:0.020926+0.000465 test-mlogloss:1.026824+0.018836
## [230] train-mlogloss:0.020775+0.000422 test-mlogloss:1.027662+0.019193
## [231] train-mlogloss:0.020616+0.000419 test-mlogloss:1.028389+0.018800
## [232] train-mlogloss:0.020464+0.000421 test-mlogloss:1.029072+0.018819
## [233] train-mlogloss:0.020294+0.000434 test-mlogloss:1.031238+0.018441
## [234] train-mlogloss:0.020141+0.000425 test-mlogloss:1.031508+0.019161
## [235] train-mlogloss:0.020011+0.000421 test-mlogloss:1.032849+0.018827
## [236] train-mlogloss:0.019848+0.000406 test-mlogloss:1.034853+0.019636
## [237] train-mlogloss:0.019706+0.000388 test-mlogloss:1.036702+0.018677
## [238] train-mlogloss:0.019563+0.000415 test-mlogloss:1.037999+0.018541
## [239] train-mlogloss:0.019399+0.000395 test-mlogloss:1.039531+0.017447
## [240] train-mlogloss:0.019269+0.000400 test-mlogloss:1.039718+0.017501
## [241] train-mlogloss:0.019131+0.000401 test-mlogloss:1.040006+0.017639
## [242] train-mlogloss:0.018991+0.000401 test-mlogloss:1.041544+0.017580
## [243] train-mlogloss:0.018877+0.000391 test-mlogloss:1.042136+0.017559
## [244] train-mlogloss:0.018734+0.000382 test-mlogloss:1.042919+0.016981
## [245] train-mlogloss:0.018628+0.000375 test-mlogloss:1.044152+0.016999
## [246] train-mlogloss:0.018510+0.000393 test-mlogloss:1.045033+0.016915
## [247] train-mlogloss:0.018363+0.000386 test-mlogloss:1.046129+0.017598
## [248] train-mlogloss:0.018233+0.000398 test-mlogloss:1.047659+0.018112
## [249] train-mlogloss:0.018089+0.000405 test-mlogloss:1.048364+0.018639
## [250] train-mlogloss:0.017963+0.000402 test-mlogloss:1.049384+0.019276
## [251] train-mlogloss:0.017818+0.000389 test-mlogloss:1.050818+0.019552
## [252] train-mlogloss:0.017697+0.000402 test-mlogloss:1.052926+0.020566
## [253] train-mlogloss:0.017582+0.000406 test-mlogloss:1.053634+0.019625
## [254] train-mlogloss:0.017465+0.000397 test-mlogloss:1.053602+0.018960
## [255] train-mlogloss:0.017350+0.000389 test-mlogloss:1.054120+0.019506
## [256] train-mlogloss:0.017247+0.000412 test-mlogloss:1.054640+0.019268
## [257] train-mlogloss:0.017126+0.000414 test-mlogloss:1.056291+0.019687
## [258] train-mlogloss:0.017006+0.000410 test-mlogloss:1.057373+0.020655
## [259] train-mlogloss:0.016881+0.000419 test-mlogloss:1.059657+0.021459
## [260] train-mlogloss:0.016764+0.000421 test-mlogloss:1.061454+0.020869
## [261] train-mlogloss:0.016639+0.000430 test-mlogloss:1.063086+0.020755
## [262] train-mlogloss:0.016533+0.000405 test-mlogloss:1.064954+0.021605
## [263] train-mlogloss:0.016435+0.000397 test-mlogloss:1.065778+0.021065
## [264] train-mlogloss:0.016334+0.000398 test-mlogloss:1.067395+0.021073
## [265] train-mlogloss:0.016240+0.000401 test-mlogloss:1.068712+0.020771
## [266] train-mlogloss:0.016144+0.000414 test-mlogloss:1.069711+0.020693
## [267] train-mlogloss:0.016041+0.000413 test-mlogloss:1.071761+0.020820
## [268] train-mlogloss:0.015934+0.000410 test-mlogloss:1.071777+0.020456
## [269] train-mlogloss:0.015829+0.000412 test-mlogloss:1.071396+0.021294
## [270] train-mlogloss:0.015720+0.000402 test-mlogloss:1.071526+0.021626
## [271] train-mlogloss:0.015631+0.000402 test-mlogloss:1.072122+0.021599
## [272] train-mlogloss:0.015550+0.000402 test-mlogloss:1.074256+0.021768
## [273] train-mlogloss:0.015466+0.000424 test-mlogloss:1.074167+0.022377
## [274] train-mlogloss:0.015383+0.000433 test-mlogloss:1.074960+0.021881
## [275] train-mlogloss:0.015284+0.000442 test-mlogloss:1.077135+0.022273
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## [277] train-mlogloss:0.015106+0.000445 test-mlogloss:1.078240+0.021814
## [278] train-mlogloss:0.015036+0.000443 test-mlogloss:1.077940+0.021876
## [279] train-mlogloss:0.014926+0.000423 test-mlogloss:1.078670+0.022654
## [280] train-mlogloss:0.014833+0.000430 test-mlogloss:1.079999+0.023117
## [281] train-mlogloss:0.014783+0.000430 test-mlogloss:1.081612+0.023505
## [282] train-mlogloss:0.014697+0.000407 test-mlogloss:1.082617+0.023349
## [283] train-mlogloss:0.014599+0.000399 test-mlogloss:1.083687+0.023732
## [284] train-mlogloss:0.014512+0.000391 test-mlogloss:1.083890+0.022815
## [285] train-mlogloss:0.014414+0.000401 test-mlogloss:1.085232+0.022561
## [286] train-mlogloss:0.014334+0.000404 test-mlogloss:1.086133+0.022761
## [287] train-mlogloss:0.014256+0.000408 test-mlogloss:1.087095+0.022682
## [288] train-mlogloss:0.014204+0.000388 test-mlogloss:1.087617+0.021963
## [289] train-mlogloss:0.014105+0.000377 test-mlogloss:1.087576+0.022571
## [290] train-mlogloss:0.014046+0.000363 test-mlogloss:1.088834+0.022356
## [291] train-mlogloss:0.013981+0.000357 test-mlogloss:1.089415+0.022371
## [292] train-mlogloss:0.013897+0.000356 test-mlogloss:1.090318+0.021314
## [293] train-mlogloss:0.013832+0.000359 test-mlogloss:1.090873+0.020105
## [294] train-mlogloss:0.013757+0.000351 test-mlogloss:1.092076+0.019840
## [295] train-mlogloss:0.013677+0.000351 test-mlogloss:1.092953+0.019863
## [296] train-mlogloss:0.013601+0.000360 test-mlogloss:1.094249+0.020452
## [297] train-mlogloss:0.013538+0.000358 test-mlogloss:1.094633+0.019397
## [298] train-mlogloss:0.013466+0.000348 test-mlogloss:1.095407+0.020107
## [299] train-mlogloss:0.013370+0.000357 test-mlogloss:1.096426+0.020537
## [300] train-mlogloss:0.013297+0.000366 test-mlogloss:1.097101+0.019833
## [301] train-mlogloss:0.013224+0.000352 test-mlogloss:1.097957+0.020870
## [302] train-mlogloss:0.013152+0.000366 test-mlogloss:1.097689+0.022168
## [303] train-mlogloss:0.013074+0.000378 test-mlogloss:1.098486+0.021505
## [304] train-mlogloss:0.013020+0.000379 test-mlogloss:1.100656+0.020891
## [305] train-mlogloss:0.012964+0.000386 test-mlogloss:1.101668+0.021164
## [306] train-mlogloss:0.012910+0.000390 test-mlogloss:1.102049+0.020705
## [307] train-mlogloss:0.012856+0.000390 test-mlogloss:1.103142+0.020552
## [308] train-mlogloss:0.012797+0.000391 test-mlogloss:1.103394+0.020121
## [309] train-mlogloss:0.012740+0.000387 test-mlogloss:1.104442+0.020767
## [310] train-mlogloss:0.012690+0.000381 test-mlogloss:1.104790+0.020400
## [311] train-mlogloss:0.012606+0.000398 test-mlogloss:1.105671+0.020606
## [312] train-mlogloss:0.012547+0.000393 test-mlogloss:1.105816+0.020546
## [313] train-mlogloss:0.012480+0.000385 test-mlogloss:1.106347+0.021052
## [314] train-mlogloss:0.012420+0.000390 test-mlogloss:1.107716+0.021069
## [315] train-mlogloss:0.012357+0.000395 test-mlogloss:1.107096+0.021709
## [316] train-mlogloss:0.012287+0.000383 test-mlogloss:1.108039+0.021930
## [317] train-mlogloss:0.012222+0.000381 test-mlogloss:1.110220+0.021729
## [318] train-mlogloss:0.012167+0.000371 test-mlogloss:1.111695+0.021219
## [319] train-mlogloss:0.012117+0.000368 test-mlogloss:1.112357+0.021077
## [320] train-mlogloss:0.012065+0.000371 test-mlogloss:1.112292+0.021397
## [321] train-mlogloss:0.011994+0.000372 test-mlogloss:1.113201+0.021292
## [322] train-mlogloss:0.011928+0.000368 test-mlogloss:1.114430+0.022079
## [323] train-mlogloss:0.011877+0.000368 test-mlogloss:1.115866+0.021773
## [324] train-mlogloss:0.011827+0.000369 test-mlogloss:1.115748+0.020934
## [325] train-mlogloss:0.011779+0.000368 test-mlogloss:1.116786+0.020673
## [326] train-mlogloss:0.011731+0.000363 test-mlogloss:1.117476+0.021309
## [327] train-mlogloss:0.011688+0.000360 test-mlogloss:1.118020+0.021653
## [328] train-mlogloss:0.011637+0.000363 test-mlogloss:1.118446+0.021896
## [329] train-mlogloss:0.011577+0.000363 test-mlogloss:1.118613+0.021564
## [330] train-mlogloss:0.011523+0.000356 test-mlogloss:1.119684+0.021743
## [331] train-mlogloss:0.011472+0.000359 test-mlogloss:1.120365+0.021520
## [332] train-mlogloss:0.011418+0.000367 test-mlogloss:1.120835+0.021350
## [333] train-mlogloss:0.011367+0.000373 test-mlogloss:1.120975+0.020244
## [334] train-mlogloss:0.011312+0.000373 test-mlogloss:1.122494+0.021241
## [335] train-mlogloss:0.011251+0.000354 test-mlogloss:1.123362+0.021227
## [336] train-mlogloss:0.011196+0.000348 test-mlogloss:1.123556+0.019794
## [337] train-mlogloss:0.011146+0.000341 test-mlogloss:1.124108+0.020082
## [338] train-mlogloss:0.011098+0.000333 test-mlogloss:1.124793+0.020033
## [339] train-mlogloss:0.011052+0.000331 test-mlogloss:1.125355+0.020076
## [340] train-mlogloss:0.011000+0.000334 test-mlogloss:1.126205+0.019141
## [341] train-mlogloss:0.010952+0.000334 test-mlogloss:1.127283+0.019783
## [342] train-mlogloss:0.010910+0.000331 test-mlogloss:1.128091+0.020606
## [343] train-mlogloss:0.010866+0.000324 test-mlogloss:1.128756+0.020057
## [344] train-mlogloss:0.010802+0.000325 test-mlogloss:1.130355+0.021153
## [345] train-mlogloss:0.010747+0.000329 test-mlogloss:1.131872+0.020618
## [346] train-mlogloss:0.010698+0.000325 test-mlogloss:1.132326+0.020171
## [347] train-mlogloss:0.010643+0.000326 test-mlogloss:1.132835+0.020214
## [348] train-mlogloss:0.010606+0.000325 test-mlogloss:1.133418+0.020204
## [349] train-mlogloss:0.010566+0.000324 test-mlogloss:1.132884+0.019930
## [350] train-mlogloss:0.010521+0.000320 test-mlogloss:1.134025+0.019563
## [351] train-mlogloss:0.010468+0.000312 test-mlogloss:1.134070+0.019959
## [352] train-mlogloss:0.010424+0.000315 test-mlogloss:1.134721+0.019247
## [353] train-mlogloss:0.010379+0.000309 test-mlogloss:1.135017+0.020624
## [354] train-mlogloss:0.010336+0.000298 test-mlogloss:1.135831+0.020535
## [355] train-mlogloss:0.010281+0.000295 test-mlogloss:1.134888+0.020620
## [356] train-mlogloss:0.010241+0.000293 test-mlogloss:1.135280+0.020952
## [357] train-mlogloss:0.010190+0.000285 test-mlogloss:1.136034+0.021224
## [358] train-mlogloss:0.010153+0.000283 test-mlogloss:1.137263+0.021413
## [359] train-mlogloss:0.010119+0.000279 test-mlogloss:1.138358+0.020282
## [360] train-mlogloss:0.010076+0.000276 test-mlogloss:1.138656+0.020387
## [361] train-mlogloss:0.010032+0.000281 test-mlogloss:1.139123+0.020733
## [362] train-mlogloss:0.009996+0.000270 test-mlogloss:1.139300+0.020644
## [363] train-mlogloss:0.009960+0.000268 test-mlogloss:1.140573+0.021026
## [364] train-mlogloss:0.009918+0.000271 test-mlogloss:1.140987+0.020744
## [365] train-mlogloss:0.009880+0.000274 test-mlogloss:1.141296+0.020230
## [366] train-mlogloss:0.009846+0.000277 test-mlogloss:1.142429+0.020246
## [367] train-mlogloss:0.009792+0.000282 test-mlogloss:1.143280+0.019802
## [368] train-mlogloss:0.009742+0.000280 test-mlogloss:1.143924+0.019554
## [369] train-mlogloss:0.009693+0.000278 test-mlogloss:1.144141+0.020009
## [370] train-mlogloss:0.009652+0.000276 test-mlogloss:1.145456+0.019425
## [371] train-mlogloss:0.009610+0.000279 test-mlogloss:1.147487+0.019182
## [372] train-mlogloss:0.009573+0.000275 test-mlogloss:1.148198+0.019148
## [373] train-mlogloss:0.009523+0.000266 test-mlogloss:1.149146+0.019090
## [374] train-mlogloss:0.009490+0.000264 test-mlogloss:1.150292+0.019038
## [375] train-mlogloss:0.009451+0.000268 test-mlogloss:1.150450+0.018219
## [376] train-mlogloss:0.009406+0.000263 test-mlogloss:1.151083+0.017758
## [377] train-mlogloss:0.009369+0.000257 test-mlogloss:1.152198+0.018518
## [378] train-mlogloss:0.009327+0.000257 test-mlogloss:1.153431+0.017102
## [379] train-mlogloss:0.009295+0.000255 test-mlogloss:1.152932+0.017588
## [380] train-mlogloss:0.009252+0.000254 test-mlogloss:1.153592+0.017825
## [381] train-mlogloss:0.009218+0.000264 test-mlogloss:1.155181+0.017892
## [382] train-mlogloss:0.009178+0.000264 test-mlogloss:1.154774+0.017861
## [383] train-mlogloss:0.009137+0.000259 test-mlogloss:1.156518+0.017699
## [384] train-mlogloss:0.009102+0.000252 test-mlogloss:1.157388+0.017130
## [385] train-mlogloss:0.009072+0.000256 test-mlogloss:1.158829+0.017085
## [386] train-mlogloss:0.009039+0.000260 test-mlogloss:1.159193+0.017749
## [387] train-mlogloss:0.009001+0.000261 test-mlogloss:1.159453+0.018607
## [388] train-mlogloss:0.008966+0.000263 test-mlogloss:1.161399+0.019422
## [389] train-mlogloss:0.008931+0.000263 test-mlogloss:1.162203+0.019228
## [390] train-mlogloss:0.008899+0.000263 test-mlogloss:1.162749+0.019028
## [391] train-mlogloss:0.008858+0.000257 test-mlogloss:1.163971+0.018947
## [392] train-mlogloss:0.008821+0.000256 test-mlogloss:1.163951+0.019584
## [393] train-mlogloss:0.008787+0.000248 test-mlogloss:1.164923+0.019008
## [394] train-mlogloss:0.008754+0.000239 test-mlogloss:1.165849+0.019805
## [395] train-mlogloss:0.008723+0.000234 test-mlogloss:1.165689+0.019862
## [396] train-mlogloss:0.008685+0.000234 test-mlogloss:1.166786+0.020372
## [397] train-mlogloss:0.008658+0.000232 test-mlogloss:1.167262+0.020357
## [398] train-mlogloss:0.008625+0.000236 test-mlogloss:1.168884+0.020234
## [399] train-mlogloss:0.008597+0.000230 test-mlogloss:1.168997+0.021214
## [400] train-mlogloss:0.008570+0.000231 test-mlogloss:1.169700+0.021186
## [401] train-mlogloss:0.008540+0.000232 test-mlogloss:1.169954+0.021167
## [402] train-mlogloss:0.008516+0.000230 test-mlogloss:1.170445+0.021825
## [403] train-mlogloss:0.008484+0.000221 test-mlogloss:1.171573+0.021712
## [404] train-mlogloss:0.008455+0.000215 test-mlogloss:1.171790+0.022392
## [405] train-mlogloss:0.008424+0.000217 test-mlogloss:1.172236+0.021782
## [406] train-mlogloss:0.008394+0.000212 test-mlogloss:1.172466+0.020843
## [407] train-mlogloss:0.008362+0.000211 test-mlogloss:1.173116+0.020569
## [408] train-mlogloss:0.008337+0.000210 test-mlogloss:1.173307+0.021385
## [409] train-mlogloss:0.008307+0.000200 test-mlogloss:1.173991+0.021366
## [410] train-mlogloss:0.008280+0.000203 test-mlogloss:1.175175+0.021366
## [411] train-mlogloss:0.008253+0.000206 test-mlogloss:1.174600+0.021333
## [412] train-mlogloss:0.008224+0.000208 test-mlogloss:1.176369+0.021347
## [413] train-mlogloss:0.008198+0.000204 test-mlogloss:1.177444+0.021934
## [414] train-mlogloss:0.008168+0.000202 test-mlogloss:1.177967+0.021769
## [415] train-mlogloss:0.008139+0.000211 test-mlogloss:1.178789+0.020056
## [416] train-mlogloss:0.008115+0.000215 test-mlogloss:1.179387+0.021506
## [417] train-mlogloss:0.008083+0.000216 test-mlogloss:1.179607+0.022550
## [418] train-mlogloss:0.008057+0.000218 test-mlogloss:1.179676+0.022152
## [419] train-mlogloss:0.008033+0.000222 test-mlogloss:1.180611+0.023049
## [420] train-mlogloss:0.008007+0.000217 test-mlogloss:1.181819+0.022837
## [421] train-mlogloss:0.007980+0.000215 test-mlogloss:1.181854+0.023029
## [422] train-mlogloss:0.007950+0.000216 test-mlogloss:1.182620+0.023186
## [423] train-mlogloss:0.007928+0.000214 test-mlogloss:1.183168+0.022564
## [424] train-mlogloss:0.007898+0.000217 test-mlogloss:1.183696+0.022161
## [425] train-mlogloss:0.007869+0.000214 test-mlogloss:1.184993+0.022075
## [426] train-mlogloss:0.007837+0.000216 test-mlogloss:1.185689+0.021883
## [427] train-mlogloss:0.007813+0.000213 test-mlogloss:1.186495+0.021968
## [428] train-mlogloss:0.007785+0.000208 test-mlogloss:1.186634+0.021044
## [429] train-mlogloss:0.007763+0.000210 test-mlogloss:1.186859+0.021184
## [430] train-mlogloss:0.007730+0.000205 test-mlogloss:1.187004+0.021860
## [431] train-mlogloss:0.007709+0.000205 test-mlogloss:1.187624+0.021708
## [432] train-mlogloss:0.007688+0.000202 test-mlogloss:1.188110+0.022419
## [433] train-mlogloss:0.007667+0.000203 test-mlogloss:1.188303+0.022412
## [434] train-mlogloss:0.007644+0.000206 test-mlogloss:1.189775+0.021809
## [435] train-mlogloss:0.007624+0.000207 test-mlogloss:1.189227+0.021351
## [436] train-mlogloss:0.007599+0.000206 test-mlogloss:1.189500+0.020731
## [437] train-mlogloss:0.007572+0.000202 test-mlogloss:1.191187+0.021483
## [438] train-mlogloss:0.007549+0.000200 test-mlogloss:1.190724+0.022014
## [439] train-mlogloss:0.007521+0.000198 test-mlogloss:1.192052+0.022089
## [440] train-mlogloss:0.007499+0.000198 test-mlogloss:1.192322+0.022079
## [441] train-mlogloss:0.007471+0.000197 test-mlogloss:1.191720+0.021774
## [442] train-mlogloss:0.007447+0.000195 test-mlogloss:1.193059+0.021614
## [443] train-mlogloss:0.007424+0.000191 test-mlogloss:1.192813+0.021192
## [444] train-mlogloss:0.007402+0.000194 test-mlogloss:1.193446+0.020137
## [445] train-mlogloss:0.007375+0.000197 test-mlogloss:1.193956+0.020964
## [446] train-mlogloss:0.007351+0.000196 test-mlogloss:1.194525+0.021151
## [447] train-mlogloss:0.007337+0.000194 test-mlogloss:1.194508+0.020644
## [448] train-mlogloss:0.007315+0.000194 test-mlogloss:1.195243+0.020456
## [449] train-mlogloss:0.007296+0.000198 test-mlogloss:1.196934+0.020780
## [450] train-mlogloss:0.007275+0.000196 test-mlogloss:1.196861+0.020393
## [451] train-mlogloss:0.007255+0.000195 test-mlogloss:1.196507+0.020322
## [452] train-mlogloss:0.007230+0.000192 test-mlogloss:1.197219+0.020488
## [453] train-mlogloss:0.007206+0.000190 test-mlogloss:1.198054+0.020231
## [454] train-mlogloss:0.007186+0.000188 test-mlogloss:1.198953+0.020675
## [455] train-mlogloss:0.007171+0.000189 test-mlogloss:1.199111+0.021105
## [456] train-mlogloss:0.007153+0.000194 test-mlogloss:1.200004+0.021408
## [457] train-mlogloss:0.007130+0.000194 test-mlogloss:1.200941+0.021757
## [458] train-mlogloss:0.007109+0.000194 test-mlogloss:1.201495+0.022144
## [459] train-mlogloss:0.007095+0.000195 test-mlogloss:1.201378+0.022219
## [460] train-mlogloss:0.007074+0.000193 test-mlogloss:1.201844+0.022255
## [461] train-mlogloss:0.007052+0.000193 test-mlogloss:1.202584+0.021741
## [462] train-mlogloss:0.007031+0.000190 test-mlogloss:1.203938+0.021671
## [463] train-mlogloss:0.007013+0.000191 test-mlogloss:1.204975+0.021905
## [464] train-mlogloss:0.006998+0.000192 test-mlogloss:1.205190+0.022525
## [465] train-mlogloss:0.006977+0.000191 test-mlogloss:1.205394+0.022624
## [466] train-mlogloss:0.006958+0.000188 test-mlogloss:1.206442+0.022870
## [467] train-mlogloss:0.006940+0.000186 test-mlogloss:1.205898+0.022767
## [468] train-mlogloss:0.006917+0.000184 test-mlogloss:1.207644+0.023109
## [469] train-mlogloss:0.006899+0.000181 test-mlogloss:1.207760+0.023000
## [470] train-mlogloss:0.006882+0.000179 test-mlogloss:1.207560+0.022520
## [471] train-mlogloss:0.006860+0.000182 test-mlogloss:1.207792+0.023115
## [472] train-mlogloss:0.006838+0.000186 test-mlogloss:1.207822+0.023070
## [473] train-mlogloss:0.006824+0.000187 test-mlogloss:1.209321+0.022699
## [474] train-mlogloss:0.006808+0.000185 test-mlogloss:1.208688+0.022467
## [475] train-mlogloss:0.006786+0.000185 test-mlogloss:1.209172+0.022398
## [476] train-mlogloss:0.006768+0.000180 test-mlogloss:1.210130+0.022751
## [477] train-mlogloss:0.006749+0.000183 test-mlogloss:1.210710+0.022643
## [478] train-mlogloss:0.006730+0.000177 test-mlogloss:1.210884+0.021792
## [479] train-mlogloss:0.006712+0.000178 test-mlogloss:1.211917+0.021902
## [480] train-mlogloss:0.006691+0.000178 test-mlogloss:1.212526+0.022302
## [481] train-mlogloss:0.006673+0.000174 test-mlogloss:1.214101+0.022291
## [482] train-mlogloss:0.006657+0.000177 test-mlogloss:1.215156+0.021787
## [483] train-mlogloss:0.006642+0.000177 test-mlogloss:1.215518+0.022329
## [484] train-mlogloss:0.006625+0.000176 test-mlogloss:1.216316+0.021891
## [485] train-mlogloss:0.006606+0.000177 test-mlogloss:1.216532+0.021605
## [486] train-mlogloss:0.006585+0.000176 test-mlogloss:1.217212+0.021786
## [487] train-mlogloss:0.006569+0.000174 test-mlogloss:1.217442+0.022109
## [488] train-mlogloss:0.006551+0.000174 test-mlogloss:1.218385+0.022314
## [489] train-mlogloss:0.006536+0.000173 test-mlogloss:1.219235+0.022250
## [490] train-mlogloss:0.006518+0.000171 test-mlogloss:1.219491+0.021965
## [491] train-mlogloss:0.006502+0.000169 test-mlogloss:1.219912+0.022019
## [492] train-mlogloss:0.006484+0.000171 test-mlogloss:1.220361+0.022021
## [493] train-mlogloss:0.006466+0.000165 test-mlogloss:1.220578+0.021974
## [494] train-mlogloss:0.006450+0.000166 test-mlogloss:1.220867+0.021804
## [495] train-mlogloss:0.006430+0.000166 test-mlogloss:1.221404+0.021493
## [496] train-mlogloss:0.006414+0.000166 test-mlogloss:1.220727+0.021471
## [497] train-mlogloss:0.006394+0.000165 test-mlogloss:1.222277+0.021596
## [498] train-mlogloss:0.006377+0.000167 test-mlogloss:1.222825+0.022221
## [499] train-mlogloss:0.006360+0.000171 test-mlogloss:1.223128+0.021317
## [500] train-mlogloss:0.006340+0.000169 test-mlogloss:1.223650+0.021252
## [1] train-mlogloss:0.392501+0.002073 test-mlogloss:0.598376+0.011074
## [2] train-mlogloss:0.281553+0.003579 test-mlogloss:0.630543+0.018224
## [3] train-mlogloss:0.213349+0.002542 test-mlogloss:0.661820+0.016810
## [4] train-mlogloss:0.172176+0.002446 test-mlogloss:0.685216+0.021202
## [5] train-mlogloss:0.142572+0.002314 test-mlogloss:0.702182+0.021811
## [6] train-mlogloss:0.120479+0.002732 test-mlogloss:0.720630+0.024683
## [7] train-mlogloss:0.103466+0.001333 test-mlogloss:0.734354+0.026590
## [8] train-mlogloss:0.090073+0.002075 test-mlogloss:0.749481+0.028809
## [9] train-mlogloss:0.080230+0.003414 test-mlogloss:0.763527+0.032368
## [10] train-mlogloss:0.071591+0.002813 test-mlogloss:0.774994+0.035208
## [11] train-mlogloss:0.064752+0.002142 test-mlogloss:0.785329+0.038078
## [12] train-mlogloss:0.058911+0.001796 test-mlogloss:0.797175+0.039288
## [13] train-mlogloss:0.053961+0.001628 test-mlogloss:0.808528+0.038943
## [14] train-mlogloss:0.049930+0.001527 test-mlogloss:0.819758+0.039121
## [15] train-mlogloss:0.046208+0.001394 test-mlogloss:0.827980+0.040218
## [16] train-mlogloss:0.043293+0.001040 test-mlogloss:0.833833+0.041831
## [17] train-mlogloss:0.040628+0.000891 test-mlogloss:0.839271+0.041158
## [18] train-mlogloss:0.038184+0.000772 test-mlogloss:0.849477+0.041280
## [19] train-mlogloss:0.036130+0.000685 test-mlogloss:0.854510+0.042557
## [20] train-mlogloss:0.034389+0.000701 test-mlogloss:0.861087+0.041612
## [21] train-mlogloss:0.032669+0.000626 test-mlogloss:0.866906+0.041978
## [22] train-mlogloss:0.031106+0.000527 test-mlogloss:0.870954+0.043857
## [23] train-mlogloss:0.029712+0.000510 test-mlogloss:0.876509+0.042635
## [24] train-mlogloss:0.028519+0.000525 test-mlogloss:0.880578+0.043177
## [25] train-mlogloss:0.027438+0.000505 test-mlogloss:0.885704+0.045861
## [26] train-mlogloss:0.026403+0.000467 test-mlogloss:0.891018+0.044631
## [27] train-mlogloss:0.025469+0.000438 test-mlogloss:0.895049+0.045418
## [28] train-mlogloss:0.024577+0.000359 test-mlogloss:0.900060+0.046982
## [29] train-mlogloss:0.023798+0.000351 test-mlogloss:0.903471+0.048033
## [30] train-mlogloss:0.023034+0.000345 test-mlogloss:0.909009+0.048127
## [31] train-mlogloss:0.022361+0.000331 test-mlogloss:0.911913+0.048931
## [32] train-mlogloss:0.021722+0.000320 test-mlogloss:0.917413+0.048931
## [33] train-mlogloss:0.021105+0.000319 test-mlogloss:0.920500+0.050867
## [34] train-mlogloss:0.020526+0.000288 test-mlogloss:0.922841+0.052300
## [35] train-mlogloss:0.019970+0.000243 test-mlogloss:0.926382+0.053180
## [36] train-mlogloss:0.019480+0.000252 test-mlogloss:0.928757+0.053515
## [37] train-mlogloss:0.019007+0.000255 test-mlogloss:0.931987+0.053933
## [38] train-mlogloss:0.018578+0.000224 test-mlogloss:0.935887+0.052977
## [39] train-mlogloss:0.018157+0.000227 test-mlogloss:0.939583+0.052677
## [40] train-mlogloss:0.017749+0.000223 test-mlogloss:0.941549+0.053507
## [41] train-mlogloss:0.017379+0.000214 test-mlogloss:0.944472+0.053285
## [42] train-mlogloss:0.017012+0.000213 test-mlogloss:0.946349+0.052191
## [43] train-mlogloss:0.016652+0.000196 test-mlogloss:0.950233+0.053772
## [44] train-mlogloss:0.016336+0.000187 test-mlogloss:0.952840+0.054142
## [45] train-mlogloss:0.016025+0.000184 test-mlogloss:0.956077+0.055275
## [46] train-mlogloss:0.015739+0.000190 test-mlogloss:0.958922+0.054485
## [47] train-mlogloss:0.015446+0.000187 test-mlogloss:0.960646+0.055659
## [48] train-mlogloss:0.015182+0.000188 test-mlogloss:0.963731+0.057327
## [49] train-mlogloss:0.014921+0.000195 test-mlogloss:0.965906+0.057617
## [50] train-mlogloss:0.014679+0.000192 test-mlogloss:0.968116+0.057619
## [51] train-mlogloss:0.014440+0.000187 test-mlogloss:0.970618+0.057077
## [52] train-mlogloss:0.014212+0.000185 test-mlogloss:0.973986+0.057070
## [53] train-mlogloss:0.013976+0.000182 test-mlogloss:0.975785+0.057478
## [54] train-mlogloss:0.013778+0.000177 test-mlogloss:0.977351+0.056897
## [55] train-mlogloss:0.013565+0.000175 test-mlogloss:0.979382+0.056251
## [56] train-mlogloss:0.013364+0.000164 test-mlogloss:0.982739+0.057499
## [57] train-mlogloss:0.013166+0.000164 test-mlogloss:0.984125+0.058141
## [58] train-mlogloss:0.012982+0.000159 test-mlogloss:0.985240+0.059292
## [59] train-mlogloss:0.012813+0.000160 test-mlogloss:0.988040+0.060179
## [60] train-mlogloss:0.012624+0.000147 test-mlogloss:0.988476+0.060493
## [61] train-mlogloss:0.012442+0.000135 test-mlogloss:0.990812+0.060760
## [62] train-mlogloss:0.012292+0.000139 test-mlogloss:0.993724+0.060970
## [63] train-mlogloss:0.012140+0.000145 test-mlogloss:0.993637+0.060897
## [64] train-mlogloss:0.011982+0.000134 test-mlogloss:0.994998+0.058809
## [65] train-mlogloss:0.011841+0.000129 test-mlogloss:0.998303+0.058287
## [66] train-mlogloss:0.011700+0.000126 test-mlogloss:1.000545+0.057795
## [67] train-mlogloss:0.011564+0.000123 test-mlogloss:1.003249+0.058465
## [68] train-mlogloss:0.011436+0.000120 test-mlogloss:1.004607+0.058868
## [69] train-mlogloss:0.011306+0.000116 test-mlogloss:1.007001+0.059157
## [70] train-mlogloss:0.011184+0.000120 test-mlogloss:1.009181+0.059087
## [71] train-mlogloss:0.011064+0.000117 test-mlogloss:1.009474+0.058361
## [72] train-mlogloss:0.010949+0.000125 test-mlogloss:1.010886+0.058447
## [73] train-mlogloss:0.010827+0.000125 test-mlogloss:1.013155+0.059721
## [74] train-mlogloss:0.010709+0.000124 test-mlogloss:1.015023+0.060016
## [75] train-mlogloss:0.010599+0.000121 test-mlogloss:1.016404+0.060113
## [76] train-mlogloss:0.010493+0.000126 test-mlogloss:1.016656+0.060919
## [77] train-mlogloss:0.010393+0.000124 test-mlogloss:1.019243+0.060854
## [78] train-mlogloss:0.010290+0.000113 test-mlogloss:1.020478+0.061356
## [79] train-mlogloss:0.010200+0.000108 test-mlogloss:1.021681+0.061542
## [80] train-mlogloss:0.010107+0.000101 test-mlogloss:1.022807+0.061252
## [81] train-mlogloss:0.010020+0.000097 test-mlogloss:1.024594+0.060978
## [82] train-mlogloss:0.009937+0.000100 test-mlogloss:1.025297+0.062014
## [83] train-mlogloss:0.009854+0.000098 test-mlogloss:1.027141+0.061435
## [84] train-mlogloss:0.009767+0.000100 test-mlogloss:1.028229+0.061972
## [85] train-mlogloss:0.009682+0.000097 test-mlogloss:1.030242+0.061632
## [86] train-mlogloss:0.009599+0.000105 test-mlogloss:1.031595+0.060801
## [87] train-mlogloss:0.009516+0.000108 test-mlogloss:1.031586+0.059871
## [88] train-mlogloss:0.009442+0.000102 test-mlogloss:1.032715+0.060871
## [89] train-mlogloss:0.009364+0.000099 test-mlogloss:1.033475+0.059879
## [90] train-mlogloss:0.009288+0.000099 test-mlogloss:1.034074+0.060049
## [91] train-mlogloss:0.009216+0.000095 test-mlogloss:1.035329+0.060528
## [92] train-mlogloss:0.009138+0.000093 test-mlogloss:1.037104+0.059869
## [93] train-mlogloss:0.009066+0.000095 test-mlogloss:1.038626+0.060091
## [94] train-mlogloss:0.008997+0.000094 test-mlogloss:1.039777+0.059396
## [95] train-mlogloss:0.008923+0.000096 test-mlogloss:1.040532+0.059253
## [96] train-mlogloss:0.008861+0.000092 test-mlogloss:1.041430+0.059726
## [97] train-mlogloss:0.008796+0.000093 test-mlogloss:1.042795+0.060097
## [98] train-mlogloss:0.008735+0.000095 test-mlogloss:1.042977+0.060033
## [99] train-mlogloss:0.008677+0.000095 test-mlogloss:1.043951+0.059519
## [100] train-mlogloss:0.008614+0.000093 test-mlogloss:1.045121+0.059459
## [101] train-mlogloss:0.008554+0.000096 test-mlogloss:1.045734+0.060331
## [102] train-mlogloss:0.008499+0.000092 test-mlogloss:1.045934+0.059834
## [103] train-mlogloss:0.008438+0.000090 test-mlogloss:1.048234+0.060403
## [104] train-mlogloss:0.008376+0.000088 test-mlogloss:1.049070+0.059441
## [105] train-mlogloss:0.008323+0.000088 test-mlogloss:1.050523+0.060472
## [106] train-mlogloss:0.008264+0.000083 test-mlogloss:1.050202+0.059431
## [107] train-mlogloss:0.008206+0.000082 test-mlogloss:1.052203+0.059765
## [108] train-mlogloss:0.008151+0.000085 test-mlogloss:1.053175+0.058798
## [109] train-mlogloss:0.008095+0.000086 test-mlogloss:1.055366+0.059481
## [110] train-mlogloss:0.008045+0.000085 test-mlogloss:1.057338+0.059456
## [111] train-mlogloss:0.007996+0.000082 test-mlogloss:1.057954+0.059779
## [112] train-mlogloss:0.007948+0.000079 test-mlogloss:1.058836+0.060683
## [113] train-mlogloss:0.007900+0.000080 test-mlogloss:1.059199+0.061247
## [114] train-mlogloss:0.007852+0.000078 test-mlogloss:1.059913+0.061059
## [115] train-mlogloss:0.007807+0.000072 test-mlogloss:1.059955+0.060049
## [116] train-mlogloss:0.007760+0.000077 test-mlogloss:1.060167+0.059962
## [117] train-mlogloss:0.007715+0.000080 test-mlogloss:1.061295+0.059455
## [118] train-mlogloss:0.007670+0.000076 test-mlogloss:1.061373+0.060186
## [119] train-mlogloss:0.007625+0.000072 test-mlogloss:1.062365+0.060417
## [120] train-mlogloss:0.007581+0.000068 test-mlogloss:1.063203+0.060732
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## [122] train-mlogloss:0.007491+0.000068 test-mlogloss:1.064642+0.059658
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## [125] train-mlogloss:0.007363+0.000072 test-mlogloss:1.067066+0.059294
## [126] train-mlogloss:0.007323+0.000073 test-mlogloss:1.067596+0.058394
## [127] train-mlogloss:0.007284+0.000070 test-mlogloss:1.068794+0.057527
## [128] train-mlogloss:0.007244+0.000070 test-mlogloss:1.069172+0.058791
## [129] train-mlogloss:0.007207+0.000073 test-mlogloss:1.069826+0.058072
## [130] train-mlogloss:0.007171+0.000072 test-mlogloss:1.070784+0.057891
## [131] train-mlogloss:0.007133+0.000076 test-mlogloss:1.072622+0.058449
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## [134] train-mlogloss:0.007028+0.000071 test-mlogloss:1.073961+0.057637
## [135] train-mlogloss:0.006996+0.000069 test-mlogloss:1.074999+0.057189
## [136] train-mlogloss:0.006960+0.000068 test-mlogloss:1.076288+0.056725
## [137] train-mlogloss:0.006927+0.000064 test-mlogloss:1.077125+0.056322
## [138] train-mlogloss:0.006895+0.000068 test-mlogloss:1.077201+0.056293
## [139] train-mlogloss:0.006862+0.000065 test-mlogloss:1.078023+0.056228
## [140] train-mlogloss:0.006830+0.000063 test-mlogloss:1.078295+0.055803
## [141] train-mlogloss:0.006797+0.000063 test-mlogloss:1.079431+0.056289
## [142] train-mlogloss:0.006764+0.000060 test-mlogloss:1.079559+0.056385
## [143] train-mlogloss:0.006730+0.000061 test-mlogloss:1.080255+0.056793
## [144] train-mlogloss:0.006699+0.000057 test-mlogloss:1.080280+0.056656
## [145] train-mlogloss:0.006667+0.000055 test-mlogloss:1.080987+0.056027
## [146] train-mlogloss:0.006637+0.000051 test-mlogloss:1.081431+0.056461
## [147] train-mlogloss:0.006606+0.000056 test-mlogloss:1.081677+0.056746
## [148] train-mlogloss:0.006576+0.000057 test-mlogloss:1.081957+0.056973
## [149] train-mlogloss:0.006546+0.000059 test-mlogloss:1.082223+0.057304
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## [151] train-mlogloss:0.006488+0.000059 test-mlogloss:1.084318+0.056902
## [152] train-mlogloss:0.006462+0.000058 test-mlogloss:1.085476+0.057432
## [153] train-mlogloss:0.006433+0.000059 test-mlogloss:1.086546+0.056263
## [154] train-mlogloss:0.006407+0.000057 test-mlogloss:1.086790+0.056859
## [155] train-mlogloss:0.006381+0.000054 test-mlogloss:1.087350+0.057192
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## [161] train-mlogloss:0.006225+0.000050 test-mlogloss:1.093545+0.058434
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## [195] train-mlogloss:0.005528+0.000041 test-mlogloss:1.113291+0.058875
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## [197] train-mlogloss:0.005491+0.000035 test-mlogloss:1.114276+0.058665
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## [199] train-mlogloss:0.005455+0.000037 test-mlogloss:1.114987+0.059494
## [200] train-mlogloss:0.005439+0.000038 test-mlogloss:1.114867+0.059751
## [201] train-mlogloss:0.005422+0.000040 test-mlogloss:1.114633+0.060016
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## [205] train-mlogloss:0.005355+0.000038 test-mlogloss:1.116357+0.059901
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## [221] train-mlogloss:0.005108+0.000036 test-mlogloss:1.123688+0.060762
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## [223] train-mlogloss:0.005077+0.000033 test-mlogloss:1.124203+0.060730
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## [226] train-mlogloss:0.005035+0.000031 test-mlogloss:1.125732+0.060721
## [227] train-mlogloss:0.005022+0.000029 test-mlogloss:1.125670+0.059998
## [228] train-mlogloss:0.005009+0.000029 test-mlogloss:1.125370+0.060596
## [229] train-mlogloss:0.004995+0.000031 test-mlogloss:1.126197+0.061112
## [230] train-mlogloss:0.004982+0.000030 test-mlogloss:1.126561+0.060934
## [231] train-mlogloss:0.004970+0.000029 test-mlogloss:1.127427+0.061115
## [232] train-mlogloss:0.004958+0.000029 test-mlogloss:1.127878+0.061117
## [233] train-mlogloss:0.004946+0.000028 test-mlogloss:1.128220+0.060749
## [234] train-mlogloss:0.004934+0.000028 test-mlogloss:1.129204+0.060573
## [235] train-mlogloss:0.004920+0.000027 test-mlogloss:1.130296+0.061336
## [236] train-mlogloss:0.004908+0.000028 test-mlogloss:1.130529+0.061379
## [237] train-mlogloss:0.004897+0.000026 test-mlogloss:1.130980+0.061465
## [238] train-mlogloss:0.004885+0.000025 test-mlogloss:1.131803+0.061972
## [239] train-mlogloss:0.004873+0.000025 test-mlogloss:1.133053+0.061437
## [240] train-mlogloss:0.004860+0.000025 test-mlogloss:1.133131+0.061216
## [241] train-mlogloss:0.004848+0.000026 test-mlogloss:1.133514+0.061148
## [242] train-mlogloss:0.004835+0.000028 test-mlogloss:1.133685+0.061092
## [243] train-mlogloss:0.004823+0.000028 test-mlogloss:1.134336+0.061171
## [244] train-mlogloss:0.004812+0.000029 test-mlogloss:1.135206+0.060727
## [245] train-mlogloss:0.004799+0.000029 test-mlogloss:1.134827+0.061146
## [246] train-mlogloss:0.004788+0.000031 test-mlogloss:1.135901+0.061732
## [247] train-mlogloss:0.004776+0.000031 test-mlogloss:1.136890+0.061859
## [248] train-mlogloss:0.004766+0.000033 test-mlogloss:1.136478+0.062152
## [249] train-mlogloss:0.004755+0.000032 test-mlogloss:1.137438+0.062198
## [250] train-mlogloss:0.004744+0.000032 test-mlogloss:1.137392+0.061476
## [251] train-mlogloss:0.004733+0.000032 test-mlogloss:1.138390+0.060922
## [252] train-mlogloss:0.004720+0.000032 test-mlogloss:1.138663+0.061398
## [253] train-mlogloss:0.004709+0.000031 test-mlogloss:1.138608+0.060578
## [254] train-mlogloss:0.004699+0.000032 test-mlogloss:1.139904+0.061482
## [255] train-mlogloss:0.004689+0.000032 test-mlogloss:1.139668+0.061636
## [256] train-mlogloss:0.004678+0.000034 test-mlogloss:1.140250+0.061372
## [257] train-mlogloss:0.004667+0.000032 test-mlogloss:1.140733+0.062179
## [258] train-mlogloss:0.004657+0.000034 test-mlogloss:1.141860+0.062260
## [259] train-mlogloss:0.004645+0.000030 test-mlogloss:1.142893+0.061864
## [260] train-mlogloss:0.004634+0.000030 test-mlogloss:1.142522+0.062340
## [261] train-mlogloss:0.004624+0.000028 test-mlogloss:1.142411+0.061945
## [262] train-mlogloss:0.004614+0.000027 test-mlogloss:1.142288+0.061318
## [263] train-mlogloss:0.004604+0.000027 test-mlogloss:1.143179+0.061654
## [264] train-mlogloss:0.004595+0.000027 test-mlogloss:1.143658+0.061584
## [265] train-mlogloss:0.004584+0.000028 test-mlogloss:1.143972+0.061965
## [266] train-mlogloss:0.004572+0.000029 test-mlogloss:1.144433+0.062195
## [267] train-mlogloss:0.004563+0.000030 test-mlogloss:1.144329+0.062611
## [268] train-mlogloss:0.004553+0.000030 test-mlogloss:1.145175+0.061844
## [269] train-mlogloss:0.004544+0.000030 test-mlogloss:1.145390+0.062305
## [270] train-mlogloss:0.004534+0.000029 test-mlogloss:1.145852+0.062562
## [271] train-mlogloss:0.004523+0.000029 test-mlogloss:1.146482+0.062655
## [272] train-mlogloss:0.004514+0.000029 test-mlogloss:1.146773+0.061899
## [273] train-mlogloss:0.004503+0.000028 test-mlogloss:1.146699+0.062429
## [274] train-mlogloss:0.004494+0.000028 test-mlogloss:1.147353+0.062796
## [275] train-mlogloss:0.004484+0.000029 test-mlogloss:1.147420+0.062330
## [276] train-mlogloss:0.004474+0.000029 test-mlogloss:1.147596+0.062704
## [277] train-mlogloss:0.004465+0.000029 test-mlogloss:1.147459+0.062466
## [278] train-mlogloss:0.004455+0.000028 test-mlogloss:1.147543+0.062587
## [279] train-mlogloss:0.004446+0.000027 test-mlogloss:1.147449+0.063000
## [280] train-mlogloss:0.004438+0.000027 test-mlogloss:1.147470+0.062850
## [281] train-mlogloss:0.004427+0.000027 test-mlogloss:1.148148+0.062580
## [282] train-mlogloss:0.004418+0.000028 test-mlogloss:1.148508+0.062747
## [283] train-mlogloss:0.004410+0.000030 test-mlogloss:1.148678+0.062343
## [284] train-mlogloss:0.004400+0.000030 test-mlogloss:1.148561+0.062560
## [285] train-mlogloss:0.004391+0.000030 test-mlogloss:1.149279+0.062959
## [286] train-mlogloss:0.004381+0.000032 test-mlogloss:1.150188+0.063070
## [287] train-mlogloss:0.004374+0.000031 test-mlogloss:1.150232+0.063811
## [288] train-mlogloss:0.004365+0.000031 test-mlogloss:1.150955+0.063859
## [289] train-mlogloss:0.004356+0.000032 test-mlogloss:1.151097+0.064157
## [290] train-mlogloss:0.004348+0.000032 test-mlogloss:1.151612+0.064223
## [291] train-mlogloss:0.004341+0.000033 test-mlogloss:1.152007+0.064046
## [292] train-mlogloss:0.004332+0.000032 test-mlogloss:1.151871+0.063561
## [293] train-mlogloss:0.004323+0.000031 test-mlogloss:1.152196+0.063525
## [294] train-mlogloss:0.004315+0.000031 test-mlogloss:1.152887+0.063875
## [295] train-mlogloss:0.004308+0.000030 test-mlogloss:1.153377+0.063372
## [296] train-mlogloss:0.004299+0.000030 test-mlogloss:1.153073+0.063513
## [297] train-mlogloss:0.004292+0.000031 test-mlogloss:1.153738+0.063856
## [298] train-mlogloss:0.004285+0.000031 test-mlogloss:1.153955+0.063417
## [299] train-mlogloss:0.004275+0.000030 test-mlogloss:1.154725+0.064394
## [300] train-mlogloss:0.004266+0.000029 test-mlogloss:1.155119+0.064209
## [301] train-mlogloss:0.004258+0.000029 test-mlogloss:1.155184+0.063843
## [302] train-mlogloss:0.004250+0.000030 test-mlogloss:1.155472+0.064228
## [303] train-mlogloss:0.004242+0.000029 test-mlogloss:1.155761+0.064141
## [304] train-mlogloss:0.004234+0.000029 test-mlogloss:1.156252+0.064355
## [305] train-mlogloss:0.004226+0.000028 test-mlogloss:1.156844+0.063831
## [306] train-mlogloss:0.004218+0.000029 test-mlogloss:1.156880+0.063151
## [307] train-mlogloss:0.004211+0.000030 test-mlogloss:1.156988+0.063026
## [308] train-mlogloss:0.004202+0.000031 test-mlogloss:1.157102+0.062984
## [309] train-mlogloss:0.004194+0.000031 test-mlogloss:1.156940+0.063183
## [310] train-mlogloss:0.004186+0.000030 test-mlogloss:1.157396+0.064004
## [311] train-mlogloss:0.004178+0.000031 test-mlogloss:1.157271+0.063374
## [312] train-mlogloss:0.004170+0.000029 test-mlogloss:1.158078+0.063190
## [313] train-mlogloss:0.004164+0.000029 test-mlogloss:1.158028+0.063968
## [314] train-mlogloss:0.004156+0.000028 test-mlogloss:1.158485+0.063449
## [315] train-mlogloss:0.004149+0.000027 test-mlogloss:1.158558+0.063621
## [316] train-mlogloss:0.004141+0.000027 test-mlogloss:1.159045+0.063757
## [317] train-mlogloss:0.004135+0.000027 test-mlogloss:1.159261+0.063405
## [318] train-mlogloss:0.004127+0.000027 test-mlogloss:1.160233+0.063806
## [319] train-mlogloss:0.004119+0.000027 test-mlogloss:1.160027+0.063259
## [320] train-mlogloss:0.004113+0.000026 test-mlogloss:1.160365+0.063889
## [321] train-mlogloss:0.004105+0.000025 test-mlogloss:1.160230+0.062972
## [322] train-mlogloss:0.004097+0.000025 test-mlogloss:1.160329+0.062421
## [323] train-mlogloss:0.004090+0.000026 test-mlogloss:1.161404+0.063694
## [324] train-mlogloss:0.004082+0.000026 test-mlogloss:1.161229+0.063054
## [325] train-mlogloss:0.004074+0.000026 test-mlogloss:1.161767+0.063827
## [326] train-mlogloss:0.004067+0.000027 test-mlogloss:1.161733+0.063342
## [327] train-mlogloss:0.004061+0.000027 test-mlogloss:1.162542+0.063505
## [328] train-mlogloss:0.004053+0.000026 test-mlogloss:1.162701+0.063705
## [329] train-mlogloss:0.004046+0.000028 test-mlogloss:1.162466+0.064124
## [330] train-mlogloss:0.004040+0.000027 test-mlogloss:1.162886+0.063884
## [331] train-mlogloss:0.004033+0.000027 test-mlogloss:1.163436+0.063721
## [332] train-mlogloss:0.004026+0.000027 test-mlogloss:1.163995+0.063804
## [333] train-mlogloss:0.004018+0.000027 test-mlogloss:1.164424+0.064110
## [334] train-mlogloss:0.004013+0.000027 test-mlogloss:1.165152+0.063912
## [335] train-mlogloss:0.004006+0.000027 test-mlogloss:1.164919+0.064420
## [336] train-mlogloss:0.003999+0.000028 test-mlogloss:1.164585+0.064366
## [337] train-mlogloss:0.003993+0.000026 test-mlogloss:1.164924+0.064054
## [338] train-mlogloss:0.003986+0.000027 test-mlogloss:1.165596+0.063894
## [339] train-mlogloss:0.003979+0.000027 test-mlogloss:1.165805+0.063692
## [340] train-mlogloss:0.003973+0.000027 test-mlogloss:1.165932+0.064186
## [341] train-mlogloss:0.003967+0.000026 test-mlogloss:1.166606+0.063979
## [342] train-mlogloss:0.003961+0.000026 test-mlogloss:1.166802+0.063719
## [343] train-mlogloss:0.003954+0.000027 test-mlogloss:1.166985+0.062901
## [344] train-mlogloss:0.003948+0.000025 test-mlogloss:1.166586+0.063313
## [345] train-mlogloss:0.003942+0.000025 test-mlogloss:1.166999+0.063587
## [346] train-mlogloss:0.003936+0.000026 test-mlogloss:1.167555+0.064571
## [347] train-mlogloss:0.003929+0.000025 test-mlogloss:1.168310+0.063884
## [348] train-mlogloss:0.003923+0.000026 test-mlogloss:1.168302+0.063865
## [349] train-mlogloss:0.003918+0.000026 test-mlogloss:1.168445+0.064254
## [350] train-mlogloss:0.003913+0.000027 test-mlogloss:1.168925+0.064198
## [351] train-mlogloss:0.003907+0.000026 test-mlogloss:1.168720+0.064454
## [352] train-mlogloss:0.003901+0.000025 test-mlogloss:1.168145+0.064574
## [353] train-mlogloss:0.003895+0.000025 test-mlogloss:1.169272+0.065005
## [354] train-mlogloss:0.003890+0.000024 test-mlogloss:1.169426+0.064327
## [355] train-mlogloss:0.003883+0.000025 test-mlogloss:1.169535+0.064084
## [356] train-mlogloss:0.003877+0.000025 test-mlogloss:1.169804+0.063764
## [357] train-mlogloss:0.003871+0.000025 test-mlogloss:1.170233+0.064217
## [358] train-mlogloss:0.003865+0.000025 test-mlogloss:1.170091+0.063860
## [359] train-mlogloss:0.003859+0.000025 test-mlogloss:1.170779+0.063779
## [360] train-mlogloss:0.003853+0.000025 test-mlogloss:1.171047+0.064450
## [361] train-mlogloss:0.003847+0.000024 test-mlogloss:1.171434+0.064198
## [362] train-mlogloss:0.003841+0.000024 test-mlogloss:1.171468+0.065141
## [363] train-mlogloss:0.003835+0.000023 test-mlogloss:1.170575+0.064475
## [364] train-mlogloss:0.003830+0.000022 test-mlogloss:1.171048+0.063674
## [365] train-mlogloss:0.003824+0.000021 test-mlogloss:1.171565+0.063816
## [366] train-mlogloss:0.003817+0.000021 test-mlogloss:1.171738+0.063619
## [367] train-mlogloss:0.003811+0.000022 test-mlogloss:1.172107+0.062925
## [368] train-mlogloss:0.003805+0.000021 test-mlogloss:1.171991+0.063269
## [369] train-mlogloss:0.003800+0.000020 test-mlogloss:1.172689+0.063062
## [370] train-mlogloss:0.003796+0.000021 test-mlogloss:1.172791+0.063073
## [371] train-mlogloss:0.003791+0.000021 test-mlogloss:1.172648+0.063736
## [372] train-mlogloss:0.003784+0.000021 test-mlogloss:1.172497+0.063852
## [373] train-mlogloss:0.003778+0.000020 test-mlogloss:1.172838+0.064005
## [374] train-mlogloss:0.003772+0.000020 test-mlogloss:1.172436+0.064314
## [375] train-mlogloss:0.003767+0.000019 test-mlogloss:1.172825+0.064137
## [376] train-mlogloss:0.003761+0.000020 test-mlogloss:1.173207+0.064570
## [377] train-mlogloss:0.003756+0.000020 test-mlogloss:1.172806+0.064368
## [378] train-mlogloss:0.003750+0.000020 test-mlogloss:1.173142+0.064474
## [379] train-mlogloss:0.003745+0.000020 test-mlogloss:1.174027+0.063860
## [380] train-mlogloss:0.003739+0.000019 test-mlogloss:1.174308+0.064240
## [381] train-mlogloss:0.003735+0.000019 test-mlogloss:1.175201+0.064477
## [382] train-mlogloss:0.003729+0.000019 test-mlogloss:1.175280+0.064006
## [383] train-mlogloss:0.003724+0.000019 test-mlogloss:1.174444+0.064412
## [384] train-mlogloss:0.003718+0.000018 test-mlogloss:1.174438+0.064587
## [385] train-mlogloss:0.003714+0.000018 test-mlogloss:1.175126+0.064908
## [386] train-mlogloss:0.003709+0.000019 test-mlogloss:1.175732+0.065145
## [387] train-mlogloss:0.003703+0.000019 test-mlogloss:1.175877+0.065106
## [388] train-mlogloss:0.003697+0.000021 test-mlogloss:1.175546+0.065796
## [389] train-mlogloss:0.003692+0.000021 test-mlogloss:1.175604+0.065513
## [390] train-mlogloss:0.003687+0.000020 test-mlogloss:1.176350+0.065196
## [391] train-mlogloss:0.003682+0.000019 test-mlogloss:1.176433+0.065339
## [392] train-mlogloss:0.003678+0.000019 test-mlogloss:1.176632+0.065133
## [393] train-mlogloss:0.003673+0.000019 test-mlogloss:1.176465+0.064796
## [394] train-mlogloss:0.003669+0.000019 test-mlogloss:1.176936+0.065786
## [395] train-mlogloss:0.003665+0.000018 test-mlogloss:1.176616+0.065561
## [396] train-mlogloss:0.003659+0.000018 test-mlogloss:1.177194+0.066556
## [397] train-mlogloss:0.003653+0.000018 test-mlogloss:1.178027+0.066436
## [398] train-mlogloss:0.003648+0.000017 test-mlogloss:1.177779+0.066247
## [399] train-mlogloss:0.003643+0.000018 test-mlogloss:1.177217+0.066644
## [400] train-mlogloss:0.003637+0.000018 test-mlogloss:1.177065+0.066352
## [401] train-mlogloss:0.003633+0.000018 test-mlogloss:1.178065+0.066760
## [402] train-mlogloss:0.003628+0.000019 test-mlogloss:1.178275+0.066405
## [403] train-mlogloss:0.003624+0.000019 test-mlogloss:1.178762+0.066485
## [404] train-mlogloss:0.003619+0.000019 test-mlogloss:1.179860+0.066670
## [405] train-mlogloss:0.003614+0.000018 test-mlogloss:1.180286+0.066027
## [406] train-mlogloss:0.003609+0.000018 test-mlogloss:1.180072+0.066259
## [407] train-mlogloss:0.003604+0.000017 test-mlogloss:1.180274+0.066559
## [408] train-mlogloss:0.003600+0.000017 test-mlogloss:1.179846+0.065904
## [409] train-mlogloss:0.003595+0.000016 test-mlogloss:1.179879+0.065479
## [410] train-mlogloss:0.003591+0.000015 test-mlogloss:1.180646+0.065324
## [411] train-mlogloss:0.003586+0.000015 test-mlogloss:1.180577+0.065339
## [412] train-mlogloss:0.003581+0.000016 test-mlogloss:1.180720+0.066187
## [413] train-mlogloss:0.003577+0.000016 test-mlogloss:1.180827+0.065734
## [414] train-mlogloss:0.003573+0.000017 test-mlogloss:1.180627+0.065691
## [415] train-mlogloss:0.003568+0.000018 test-mlogloss:1.181110+0.066220
## [416] train-mlogloss:0.003563+0.000017 test-mlogloss:1.181536+0.066361
## [417] train-mlogloss:0.003559+0.000017 test-mlogloss:1.181407+0.066134
## [418] train-mlogloss:0.003556+0.000017 test-mlogloss:1.181982+0.065482
## [419] train-mlogloss:0.003551+0.000017 test-mlogloss:1.181899+0.065195
## [420] train-mlogloss:0.003547+0.000018 test-mlogloss:1.181932+0.065133
## [421] train-mlogloss:0.003542+0.000017 test-mlogloss:1.181770+0.064782
## [422] train-mlogloss:0.003538+0.000017 test-mlogloss:1.181239+0.065281
## [423] train-mlogloss:0.003533+0.000017 test-mlogloss:1.181703+0.065218
## [424] train-mlogloss:0.003529+0.000018 test-mlogloss:1.182180+0.064957
## [425] train-mlogloss:0.003525+0.000018 test-mlogloss:1.182910+0.065640
## [426] train-mlogloss:0.003520+0.000017 test-mlogloss:1.183049+0.065166
## [427] train-mlogloss:0.003515+0.000016 test-mlogloss:1.183273+0.065297
## [428] train-mlogloss:0.003511+0.000016 test-mlogloss:1.183717+0.065401
## [429] train-mlogloss:0.003507+0.000015 test-mlogloss:1.183923+0.065844
## [430] train-mlogloss:0.003501+0.000016 test-mlogloss:1.183548+0.066323
## [431] train-mlogloss:0.003497+0.000017 test-mlogloss:1.183620+0.065928
## [432] train-mlogloss:0.003493+0.000017 test-mlogloss:1.183609+0.066063
## [433] train-mlogloss:0.003488+0.000017 test-mlogloss:1.183792+0.066257
## [434] train-mlogloss:0.003484+0.000017 test-mlogloss:1.184005+0.065841
## [435] train-mlogloss:0.003480+0.000018 test-mlogloss:1.184587+0.066644
## [436] train-mlogloss:0.003476+0.000017 test-mlogloss:1.184524+0.067139
## [437] train-mlogloss:0.003472+0.000018 test-mlogloss:1.184577+0.067221
## [438] train-mlogloss:0.003467+0.000018 test-mlogloss:1.185304+0.067671
## [439] train-mlogloss:0.003462+0.000019 test-mlogloss:1.185240+0.067207
## [440] train-mlogloss:0.003459+0.000019 test-mlogloss:1.184870+0.067161
## [441] train-mlogloss:0.003455+0.000019 test-mlogloss:1.185317+0.067951
## [442] train-mlogloss:0.003451+0.000018 test-mlogloss:1.185736+0.067301
## [443] train-mlogloss:0.003447+0.000020 test-mlogloss:1.185989+0.067860
## [444] train-mlogloss:0.003442+0.000019 test-mlogloss:1.185972+0.067372
## [445] train-mlogloss:0.003438+0.000019 test-mlogloss:1.186341+0.067130
## [446] train-mlogloss:0.003434+0.000019 test-mlogloss:1.187191+0.067444
## [447] train-mlogloss:0.003430+0.000020 test-mlogloss:1.187228+0.067625
## [448] train-mlogloss:0.003427+0.000020 test-mlogloss:1.187434+0.068276
## [449] train-mlogloss:0.003423+0.000020 test-mlogloss:1.187631+0.067427
## [450] train-mlogloss:0.003419+0.000019 test-mlogloss:1.187209+0.067537
## [451] train-mlogloss:0.003415+0.000019 test-mlogloss:1.188005+0.067556
## [452] train-mlogloss:0.003410+0.000019 test-mlogloss:1.188438+0.067392
## [453] train-mlogloss:0.003406+0.000019 test-mlogloss:1.188684+0.067972
## [454] train-mlogloss:0.003402+0.000019 test-mlogloss:1.188237+0.067725
## [455] train-mlogloss:0.003398+0.000019 test-mlogloss:1.188568+0.067799
## [456] train-mlogloss:0.003395+0.000020 test-mlogloss:1.189135+0.067252
## [457] train-mlogloss:0.003391+0.000019 test-mlogloss:1.189624+0.067410
## [458] train-mlogloss:0.003387+0.000019 test-mlogloss:1.189909+0.067168
## [459] train-mlogloss:0.003383+0.000019 test-mlogloss:1.190381+0.066655
## [460] train-mlogloss:0.003379+0.000018 test-mlogloss:1.190750+0.066762
## [461] train-mlogloss:0.003374+0.000018 test-mlogloss:1.190687+0.066625
## [462] train-mlogloss:0.003371+0.000018 test-mlogloss:1.190832+0.066665
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## [494] train-mlogloss:0.003255+0.000016 test-mlogloss:1.197857+0.069482
## [495] train-mlogloss:0.003252+0.000016 test-mlogloss:1.198082+0.069031
## [496] train-mlogloss:0.003248+0.000017 test-mlogloss:1.198072+0.069541
## [497] train-mlogloss:0.003245+0.000017 test-mlogloss:1.198098+0.069069
## [498] train-mlogloss:0.003241+0.000017 test-mlogloss:1.198782+0.069680
## [499] train-mlogloss:0.003238+0.000017 test-mlogloss:1.198681+0.069040
## [500] train-mlogloss:0.003235+0.000017 test-mlogloss:1.199036+0.069067
## [1] train-mlogloss:0.614201+0.000663 test-mlogloss:0.621343+0.001245
## [2] train-mlogloss:0.570129+0.001009 test-mlogloss:0.584333+0.002231
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## [8] train-mlogloss:0.490469+0.000949 test-mlogloss:0.539492+0.006954
## [9] train-mlogloss:0.485204+0.000931 test-mlogloss:0.538949+0.007300
## [10] train-mlogloss:0.481317+0.001747 test-mlogloss:0.539476+0.007437
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## [12] train-mlogloss:0.473935+0.002139 test-mlogloss:0.539959+0.008506
## [13] train-mlogloss:0.471510+0.002243 test-mlogloss:0.540576+0.008479
## [14] train-mlogloss:0.470250+0.002228 test-mlogloss:0.540736+0.008781
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## [17] train-mlogloss:0.463166+0.004554 test-mlogloss:0.541412+0.009006
## [18] train-mlogloss:0.461807+0.004881 test-mlogloss:0.541747+0.009267
## [19] train-mlogloss:0.459608+0.004844 test-mlogloss:0.542151+0.009795
## [20] train-mlogloss:0.457433+0.004535 test-mlogloss:0.542297+0.009818
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## [22] train-mlogloss:0.453373+0.003992 test-mlogloss:0.543378+0.010001
## [23] train-mlogloss:0.451909+0.004029 test-mlogloss:0.543181+0.009808
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## [25] train-mlogloss:0.445342+0.003844 test-mlogloss:0.543890+0.009220
## [26] train-mlogloss:0.442713+0.003812 test-mlogloss:0.544535+0.009016
## [27] train-mlogloss:0.440279+0.003206 test-mlogloss:0.545131+0.009058
## [28] train-mlogloss:0.438266+0.002986 test-mlogloss:0.545866+0.009476
## [29] train-mlogloss:0.436150+0.002686 test-mlogloss:0.545871+0.009748
## [30] train-mlogloss:0.433706+0.003397 test-mlogloss:0.547107+0.010265
## [31] train-mlogloss:0.431420+0.004127 test-mlogloss:0.547370+0.010598
## [32] train-mlogloss:0.429468+0.004885 test-mlogloss:0.548073+0.011070
## [33] train-mlogloss:0.426426+0.004877 test-mlogloss:0.549260+0.011113
## [34] train-mlogloss:0.424532+0.005178 test-mlogloss:0.549972+0.010895
## [35] train-mlogloss:0.423361+0.005469 test-mlogloss:0.549987+0.010846
## [36] train-mlogloss:0.422061+0.005379 test-mlogloss:0.550508+0.010539
## [37] train-mlogloss:0.419864+0.004576 test-mlogloss:0.551562+0.010740
## [38] train-mlogloss:0.416733+0.005112 test-mlogloss:0.552500+0.011460
## [39] train-mlogloss:0.413808+0.006020 test-mlogloss:0.552955+0.011645
## [40] train-mlogloss:0.412675+0.006317 test-mlogloss:0.553627+0.012201
## [41] train-mlogloss:0.411141+0.006250 test-mlogloss:0.553888+0.012455
## [42] train-mlogloss:0.409599+0.006053 test-mlogloss:0.554327+0.012452
## [43] train-mlogloss:0.408074+0.006577 test-mlogloss:0.554472+0.012677
## [44] train-mlogloss:0.404511+0.006990 test-mlogloss:0.555172+0.012506
## [45] train-mlogloss:0.402380+0.007478 test-mlogloss:0.555638+0.012905
## [46] train-mlogloss:0.400465+0.007242 test-mlogloss:0.555734+0.013017
## [47] train-mlogloss:0.399353+0.007611 test-mlogloss:0.555928+0.012912
## [48] train-mlogloss:0.397740+0.007474 test-mlogloss:0.555881+0.013321
## [49] train-mlogloss:0.396578+0.007136 test-mlogloss:0.556738+0.013269
## [50] train-mlogloss:0.394069+0.007096 test-mlogloss:0.557734+0.013557
## [51] train-mlogloss:0.391925+0.007122 test-mlogloss:0.558365+0.013027
## [52] train-mlogloss:0.390764+0.007220 test-mlogloss:0.558747+0.013192
## [53] train-mlogloss:0.389286+0.006420 test-mlogloss:0.559060+0.012914
## [54] train-mlogloss:0.388074+0.005360 test-mlogloss:0.559385+0.012674
## [55] train-mlogloss:0.386576+0.006204 test-mlogloss:0.560011+0.013385
## [56] train-mlogloss:0.384355+0.007458 test-mlogloss:0.560293+0.013551
## [57] train-mlogloss:0.382975+0.007026 test-mlogloss:0.560891+0.013585
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## [59] train-mlogloss:0.378979+0.007347 test-mlogloss:0.561923+0.013877
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## [62] train-mlogloss:0.372354+0.007798 test-mlogloss:0.563873+0.015757
## [63] train-mlogloss:0.369237+0.008818 test-mlogloss:0.564249+0.015542
## [64] train-mlogloss:0.366570+0.009598 test-mlogloss:0.565251+0.015718
## [65] train-mlogloss:0.364159+0.009269 test-mlogloss:0.566449+0.016188
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## [67] train-mlogloss:0.361300+0.009233 test-mlogloss:0.567407+0.016178
## [68] train-mlogloss:0.358639+0.009348 test-mlogloss:0.567652+0.016029
## [69] train-mlogloss:0.357172+0.009155 test-mlogloss:0.568142+0.016039
## [70] train-mlogloss:0.355466+0.008784 test-mlogloss:0.568789+0.015829
## [71] train-mlogloss:0.353958+0.008346 test-mlogloss:0.569489+0.016059
## [72] train-mlogloss:0.352612+0.008092 test-mlogloss:0.569661+0.016216
## [73] train-mlogloss:0.350736+0.008474 test-mlogloss:0.570121+0.016612
## [74] train-mlogloss:0.349219+0.008505 test-mlogloss:0.570503+0.016667
## [75] train-mlogloss:0.347917+0.008395 test-mlogloss:0.570570+0.016617
## [76] train-mlogloss:0.346338+0.008148 test-mlogloss:0.571016+0.016774
## [77] train-mlogloss:0.344646+0.007590 test-mlogloss:0.570985+0.016621
## [78] train-mlogloss:0.343300+0.007370 test-mlogloss:0.571716+0.016287
## [79] train-mlogloss:0.341232+0.007256 test-mlogloss:0.571701+0.016521
## [80] train-mlogloss:0.339562+0.006942 test-mlogloss:0.572586+0.016392
## [81] train-mlogloss:0.337169+0.007032 test-mlogloss:0.572923+0.016728
## [82] train-mlogloss:0.335680+0.007093 test-mlogloss:0.573172+0.016649
## [83] train-mlogloss:0.334689+0.007475 test-mlogloss:0.573380+0.016161
## [84] train-mlogloss:0.333306+0.008658 test-mlogloss:0.574233+0.016594
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## [92] train-mlogloss:0.320384+0.006517 test-mlogloss:0.578164+0.018382
## [93] train-mlogloss:0.318928+0.005610 test-mlogloss:0.578636+0.017839
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## [95] train-mlogloss:0.315944+0.004816 test-mlogloss:0.579485+0.017822
## [96] train-mlogloss:0.314575+0.005120 test-mlogloss:0.579870+0.018395
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## [99] train-mlogloss:0.309583+0.006819 test-mlogloss:0.581503+0.018142
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## [175] train-mlogloss:0.220753+0.005626 test-mlogloss:0.619549+0.021738
## [176] train-mlogloss:0.219954+0.005490 test-mlogloss:0.620159+0.021770
## [177] train-mlogloss:0.218569+0.005104 test-mlogloss:0.621218+0.021665
## [178] train-mlogloss:0.217292+0.004913 test-mlogloss:0.621725+0.021440
## [179] train-mlogloss:0.216117+0.004722 test-mlogloss:0.622437+0.021282
## [180] train-mlogloss:0.215133+0.004247 test-mlogloss:0.623115+0.021602
## [181] train-mlogloss:0.214000+0.003833 test-mlogloss:0.624032+0.020890
## [182] train-mlogloss:0.213152+0.003587 test-mlogloss:0.624463+0.020953
## [183] train-mlogloss:0.212397+0.003294 test-mlogloss:0.624693+0.021186
## [184] train-mlogloss:0.211414+0.003742 test-mlogloss:0.625101+0.021413
## [185] train-mlogloss:0.210502+0.004001 test-mlogloss:0.625990+0.021666
## [186] train-mlogloss:0.209277+0.003913 test-mlogloss:0.625873+0.021842
## [187] train-mlogloss:0.208487+0.004142 test-mlogloss:0.626005+0.021887
## [188] train-mlogloss:0.207855+0.003931 test-mlogloss:0.626695+0.021757
## [189] train-mlogloss:0.207406+0.003727 test-mlogloss:0.627027+0.022015
## [190] train-mlogloss:0.206911+0.003581 test-mlogloss:0.627425+0.022141
## [191] train-mlogloss:0.206393+0.003304 test-mlogloss:0.627565+0.021620
## [192] train-mlogloss:0.205631+0.003594 test-mlogloss:0.627805+0.021659
## [193] train-mlogloss:0.204920+0.003607 test-mlogloss:0.628080+0.021605
## [194] train-mlogloss:0.204240+0.003921 test-mlogloss:0.628233+0.021687
## [195] train-mlogloss:0.203388+0.004053 test-mlogloss:0.628939+0.021976
## [196] train-mlogloss:0.202226+0.004023 test-mlogloss:0.629497+0.022313
## [197] train-mlogloss:0.201650+0.004183 test-mlogloss:0.629807+0.022195
## [198] train-mlogloss:0.200819+0.004496 test-mlogloss:0.630644+0.022343
## [199] train-mlogloss:0.200014+0.004146 test-mlogloss:0.631085+0.021990
## [200] train-mlogloss:0.199103+0.003847 test-mlogloss:0.631634+0.022225
## [201] train-mlogloss:0.197948+0.003819 test-mlogloss:0.631625+0.021770
## [202] train-mlogloss:0.196902+0.003793 test-mlogloss:0.631966+0.021700
## [203] train-mlogloss:0.196246+0.004062 test-mlogloss:0.632633+0.021331
## [204] train-mlogloss:0.195440+0.004288 test-mlogloss:0.633268+0.021251
## [205] train-mlogloss:0.194854+0.004285 test-mlogloss:0.633680+0.020994
## [206] train-mlogloss:0.194033+0.004460 test-mlogloss:0.634531+0.020798
## [207] train-mlogloss:0.193141+0.004650 test-mlogloss:0.635057+0.020136
## [208] train-mlogloss:0.192410+0.004893 test-mlogloss:0.635272+0.020294
## [209] train-mlogloss:0.191523+0.004706 test-mlogloss:0.635390+0.020448
## [210] train-mlogloss:0.190766+0.004407 test-mlogloss:0.636118+0.020370
## [211] train-mlogloss:0.190012+0.004750 test-mlogloss:0.636559+0.020863
## [212] train-mlogloss:0.189312+0.004397 test-mlogloss:0.637200+0.020446
## [213] train-mlogloss:0.188524+0.004145 test-mlogloss:0.637810+0.020509
## [214] train-mlogloss:0.187677+0.003968 test-mlogloss:0.637968+0.020639
## [215] train-mlogloss:0.186690+0.003865 test-mlogloss:0.638747+0.020521
## [216] train-mlogloss:0.185739+0.003923 test-mlogloss:0.638931+0.020287
## [217] train-mlogloss:0.184930+0.004202 test-mlogloss:0.639380+0.020402
## [218] train-mlogloss:0.183570+0.004109 test-mlogloss:0.640137+0.019571
## [219] train-mlogloss:0.183010+0.004132 test-mlogloss:0.640809+0.019501
## [220] train-mlogloss:0.182470+0.003851 test-mlogloss:0.641357+0.019258
## [221] train-mlogloss:0.181774+0.003915 test-mlogloss:0.641819+0.019448
## [222] train-mlogloss:0.181265+0.003750 test-mlogloss:0.642245+0.019521
## [223] train-mlogloss:0.180853+0.003779 test-mlogloss:0.642662+0.019642
## [224] train-mlogloss:0.180345+0.003902 test-mlogloss:0.642928+0.019818
## [225] train-mlogloss:0.179414+0.003547 test-mlogloss:0.643436+0.019541
## [226] train-mlogloss:0.178778+0.003462 test-mlogloss:0.643814+0.019478
## [227] train-mlogloss:0.178065+0.002902 test-mlogloss:0.644107+0.019590
## [228] train-mlogloss:0.177395+0.003107 test-mlogloss:0.644351+0.019883
## [229] train-mlogloss:0.176992+0.003083 test-mlogloss:0.644607+0.019798
## [230] train-mlogloss:0.176462+0.003029 test-mlogloss:0.644720+0.019745
## [231] train-mlogloss:0.175621+0.002616 test-mlogloss:0.645671+0.019936
## [232] train-mlogloss:0.174872+0.002689 test-mlogloss:0.645966+0.020069
## [233] train-mlogloss:0.174265+0.003082 test-mlogloss:0.646141+0.019895
## [234] train-mlogloss:0.173477+0.002927 test-mlogloss:0.646225+0.020025
## [235] train-mlogloss:0.172751+0.002729 test-mlogloss:0.646602+0.019949
## [236] train-mlogloss:0.172086+0.002679 test-mlogloss:0.646988+0.019800
## [237] train-mlogloss:0.171156+0.002655 test-mlogloss:0.647582+0.019797
## [238] train-mlogloss:0.170293+0.002811 test-mlogloss:0.648387+0.019688
## [239] train-mlogloss:0.169656+0.002884 test-mlogloss:0.648861+0.019226
## [240] train-mlogloss:0.169296+0.002622 test-mlogloss:0.649009+0.019076
## [241] train-mlogloss:0.168629+0.002733 test-mlogloss:0.649588+0.018968
## [242] train-mlogloss:0.168012+0.002853 test-mlogloss:0.650099+0.018821
## [243] train-mlogloss:0.167289+0.003084 test-mlogloss:0.650490+0.018887
## [244] train-mlogloss:0.166618+0.003100 test-mlogloss:0.650746+0.019081
## [245] train-mlogloss:0.165956+0.002766 test-mlogloss:0.651360+0.019284
## [246] train-mlogloss:0.165214+0.002583 test-mlogloss:0.651818+0.019725
## [247] train-mlogloss:0.164652+0.002846 test-mlogloss:0.651505+0.019709
## [248] train-mlogloss:0.163882+0.002967 test-mlogloss:0.652496+0.019794
## [249] train-mlogloss:0.163307+0.002932 test-mlogloss:0.653026+0.019736
## [250] train-mlogloss:0.162799+0.003173 test-mlogloss:0.653072+0.020043
## [251] train-mlogloss:0.162043+0.003314 test-mlogloss:0.653575+0.019914
## [252] train-mlogloss:0.161407+0.003106 test-mlogloss:0.654083+0.020149
## [253] train-mlogloss:0.160836+0.003240 test-mlogloss:0.654504+0.020388
## [254] train-mlogloss:0.160144+0.003222 test-mlogloss:0.655053+0.021033
## [255] train-mlogloss:0.159576+0.003202 test-mlogloss:0.655451+0.021247
## [256] train-mlogloss:0.158986+0.003336 test-mlogloss:0.655806+0.020789
## [257] train-mlogloss:0.158293+0.003296 test-mlogloss:0.656239+0.021194
## [258] train-mlogloss:0.157516+0.002904 test-mlogloss:0.656884+0.021352
## [259] train-mlogloss:0.156955+0.003062 test-mlogloss:0.657314+0.020628
## [260] train-mlogloss:0.156088+0.002761 test-mlogloss:0.657745+0.020343
## [261] train-mlogloss:0.155538+0.002762 test-mlogloss:0.658309+0.019896
## [262] train-mlogloss:0.154639+0.002930 test-mlogloss:0.658676+0.019783
## [263] train-mlogloss:0.153867+0.002583 test-mlogloss:0.659632+0.020158
## [264] train-mlogloss:0.153280+0.002580 test-mlogloss:0.660884+0.020368
## [265] train-mlogloss:0.152548+0.002780 test-mlogloss:0.661336+0.020303
## [266] train-mlogloss:0.151899+0.002679 test-mlogloss:0.662167+0.020444
## [267] train-mlogloss:0.151065+0.002527 test-mlogloss:0.662705+0.020085
## [268] train-mlogloss:0.150544+0.002420 test-mlogloss:0.663378+0.020316
## [269] train-mlogloss:0.150130+0.002406 test-mlogloss:0.663868+0.020417
## [270] train-mlogloss:0.149577+0.002252 test-mlogloss:0.664100+0.020478
## [271] train-mlogloss:0.149064+0.002052 test-mlogloss:0.664866+0.020435
## [272] train-mlogloss:0.148278+0.002149 test-mlogloss:0.666128+0.020575
## [273] train-mlogloss:0.147709+0.002140 test-mlogloss:0.666605+0.020633
## [274] train-mlogloss:0.147153+0.002152 test-mlogloss:0.666552+0.020784
## [275] train-mlogloss:0.146478+0.002259 test-mlogloss:0.667019+0.020657
## [276] train-mlogloss:0.145937+0.002061 test-mlogloss:0.667618+0.020938
## [277] train-mlogloss:0.145154+0.002107 test-mlogloss:0.667984+0.020937
## [278] train-mlogloss:0.144587+0.002165 test-mlogloss:0.668294+0.020999
## [279] train-mlogloss:0.144230+0.002130 test-mlogloss:0.668631+0.021017
## [280] train-mlogloss:0.143401+0.001556 test-mlogloss:0.669105+0.021433
## [281] train-mlogloss:0.142469+0.001396 test-mlogloss:0.669461+0.021454
## [282] train-mlogloss:0.142060+0.001455 test-mlogloss:0.669865+0.021660
## [283] train-mlogloss:0.141695+0.001405 test-mlogloss:0.670380+0.021559
## [284] train-mlogloss:0.141041+0.001323 test-mlogloss:0.670370+0.021470
## [285] train-mlogloss:0.140695+0.001437 test-mlogloss:0.670647+0.021833
## [286] train-mlogloss:0.140227+0.001308 test-mlogloss:0.670937+0.021555
## [287] train-mlogloss:0.139868+0.001459 test-mlogloss:0.671020+0.021394
## [288] train-mlogloss:0.139512+0.001422 test-mlogloss:0.671556+0.021789
## [289] train-mlogloss:0.138987+0.001449 test-mlogloss:0.671895+0.021892
## [290] train-mlogloss:0.138634+0.001450 test-mlogloss:0.672260+0.022002
## [291] train-mlogloss:0.138070+0.001798 test-mlogloss:0.672908+0.021808
## [292] train-mlogloss:0.137305+0.002143 test-mlogloss:0.673677+0.022051
## [293] train-mlogloss:0.136889+0.002267 test-mlogloss:0.674147+0.022258
## [294] train-mlogloss:0.136382+0.002447 test-mlogloss:0.674559+0.022409
## [295] train-mlogloss:0.135786+0.002329 test-mlogloss:0.674739+0.022279
## [296] train-mlogloss:0.135203+0.002222 test-mlogloss:0.675296+0.022337
## [297] train-mlogloss:0.134828+0.002174 test-mlogloss:0.675414+0.022476
## [298] train-mlogloss:0.134490+0.002092 test-mlogloss:0.675894+0.022345
## [299] train-mlogloss:0.133833+0.002067 test-mlogloss:0.676559+0.022396
## [300] train-mlogloss:0.133151+0.002217 test-mlogloss:0.677234+0.022461
## [301] train-mlogloss:0.132642+0.002129 test-mlogloss:0.677830+0.022703
## [302] train-mlogloss:0.132175+0.002219 test-mlogloss:0.678268+0.022596
## [303] train-mlogloss:0.131734+0.002167 test-mlogloss:0.678487+0.022564
## [304] train-mlogloss:0.131217+0.002288 test-mlogloss:0.679090+0.022348
## [305] train-mlogloss:0.130945+0.002244 test-mlogloss:0.679825+0.022474
## [306] train-mlogloss:0.130227+0.001909 test-mlogloss:0.680435+0.022283
## [307] train-mlogloss:0.129803+0.001846 test-mlogloss:0.680648+0.022574
## [308] train-mlogloss:0.129479+0.001882 test-mlogloss:0.680912+0.022389
## [309] train-mlogloss:0.129025+0.001911 test-mlogloss:0.681322+0.022267
## [310] train-mlogloss:0.128704+0.001993 test-mlogloss:0.681551+0.022182
## [311] train-mlogloss:0.128319+0.002205 test-mlogloss:0.681859+0.022133
## [312] train-mlogloss:0.127635+0.002017 test-mlogloss:0.682309+0.022220
## [313] train-mlogloss:0.127273+0.002141 test-mlogloss:0.682601+0.022074
## [314] train-mlogloss:0.127168+0.002130 test-mlogloss:0.682779+0.021996
## [315] train-mlogloss:0.126344+0.001924 test-mlogloss:0.683669+0.022109
## [316] train-mlogloss:0.125776+0.002165 test-mlogloss:0.684023+0.021920
## [317] train-mlogloss:0.125171+0.002175 test-mlogloss:0.684731+0.022257
## [318] train-mlogloss:0.124463+0.001999 test-mlogloss:0.685610+0.022469
## [319] train-mlogloss:0.124033+0.002076 test-mlogloss:0.685844+0.022628
## [320] train-mlogloss:0.123401+0.002205 test-mlogloss:0.686336+0.022957
## [321] train-mlogloss:0.123007+0.002200 test-mlogloss:0.686589+0.023023
## [322] train-mlogloss:0.122278+0.002338 test-mlogloss:0.687265+0.022753
## [323] train-mlogloss:0.121868+0.002434 test-mlogloss:0.687787+0.023166
## [324] train-mlogloss:0.121682+0.002435 test-mlogloss:0.688127+0.023209
## [325] train-mlogloss:0.121258+0.002229 test-mlogloss:0.688704+0.023095
## [326] train-mlogloss:0.120948+0.002110 test-mlogloss:0.689431+0.023464
## [327] train-mlogloss:0.120330+0.001995 test-mlogloss:0.690320+0.023520
## [328] train-mlogloss:0.119738+0.001843 test-mlogloss:0.690867+0.024074
## [329] train-mlogloss:0.119432+0.001891 test-mlogloss:0.691543+0.023870
## [330] train-mlogloss:0.119146+0.001785 test-mlogloss:0.692061+0.024307
## [331] train-mlogloss:0.118675+0.001647 test-mlogloss:0.692359+0.024186
## [332] train-mlogloss:0.118085+0.001649 test-mlogloss:0.693102+0.024071
## [333] train-mlogloss:0.117753+0.001799 test-mlogloss:0.693417+0.024107
## [334] train-mlogloss:0.117299+0.001778 test-mlogloss:0.693494+0.023684
## [335] train-mlogloss:0.116731+0.001790 test-mlogloss:0.694230+0.023773
## [336] train-mlogloss:0.116408+0.001773 test-mlogloss:0.694762+0.023244
## [337] train-mlogloss:0.115899+0.001995 test-mlogloss:0.694737+0.023205
## [338] train-mlogloss:0.115440+0.002097 test-mlogloss:0.695352+0.022873
## [339] train-mlogloss:0.115011+0.002306 test-mlogloss:0.695902+0.022839
## [340] train-mlogloss:0.114386+0.002206 test-mlogloss:0.696636+0.023302
## [341] train-mlogloss:0.113597+0.002062 test-mlogloss:0.697681+0.023350
## [342] train-mlogloss:0.113040+0.001951 test-mlogloss:0.698356+0.022656
## [343] train-mlogloss:0.112454+0.001791 test-mlogloss:0.698946+0.021756
## [344] train-mlogloss:0.111946+0.001875 test-mlogloss:0.699642+0.021665
## [345] train-mlogloss:0.111606+0.001832 test-mlogloss:0.700048+0.021265
## [346] train-mlogloss:0.111137+0.002072 test-mlogloss:0.700088+0.021426
## [347] train-mlogloss:0.110718+0.001983 test-mlogloss:0.700412+0.021313
## [348] train-mlogloss:0.110310+0.002050 test-mlogloss:0.700709+0.021513
## [349] train-mlogloss:0.110085+0.002092 test-mlogloss:0.700995+0.021540
## [350] train-mlogloss:0.109425+0.002038 test-mlogloss:0.701576+0.022212
## [351] train-mlogloss:0.109042+0.002111 test-mlogloss:0.701832+0.022363
## [352] train-mlogloss:0.108636+0.001875 test-mlogloss:0.702708+0.022934
## [353] train-mlogloss:0.108036+0.001978 test-mlogloss:0.702844+0.023215
## [354] train-mlogloss:0.107611+0.001721 test-mlogloss:0.703435+0.023740
## [355] train-mlogloss:0.107330+0.001606 test-mlogloss:0.703645+0.023885
## [356] train-mlogloss:0.106819+0.001537 test-mlogloss:0.704083+0.024092
## [357] train-mlogloss:0.106612+0.001410 test-mlogloss:0.704374+0.024083
## [358] train-mlogloss:0.106342+0.001268 test-mlogloss:0.704717+0.024364
## [359] train-mlogloss:0.105928+0.001390 test-mlogloss:0.705569+0.024629
## [360] train-mlogloss:0.105455+0.001507 test-mlogloss:0.705810+0.024490
## [361] train-mlogloss:0.104992+0.001424 test-mlogloss:0.706461+0.024747
## [362] train-mlogloss:0.104669+0.001311 test-mlogloss:0.706467+0.024231
## [363] train-mlogloss:0.104304+0.001345 test-mlogloss:0.706462+0.023895
## [364] train-mlogloss:0.103885+0.001211 test-mlogloss:0.707503+0.024460
## [365] train-mlogloss:0.103695+0.001148 test-mlogloss:0.708041+0.024655
## [366] train-mlogloss:0.103576+0.001133 test-mlogloss:0.708427+0.024647
## [367] train-mlogloss:0.103278+0.001160 test-mlogloss:0.708673+0.024687
## [368] train-mlogloss:0.102967+0.001238 test-mlogloss:0.709051+0.024539
## [369] train-mlogloss:0.102586+0.001058 test-mlogloss:0.709556+0.025029
## [370] train-mlogloss:0.102180+0.001137 test-mlogloss:0.709929+0.025295
## [371] train-mlogloss:0.101833+0.001145 test-mlogloss:0.710257+0.025357
## [372] train-mlogloss:0.101333+0.001287 test-mlogloss:0.710819+0.026087
## [373] train-mlogloss:0.100693+0.001372 test-mlogloss:0.711497+0.025879
## [374] train-mlogloss:0.100319+0.001390 test-mlogloss:0.712250+0.026010
## [375] train-mlogloss:0.099822+0.001502 test-mlogloss:0.712666+0.026012
## [376] train-mlogloss:0.099417+0.001452 test-mlogloss:0.713098+0.025889
## [377] train-mlogloss:0.098930+0.001425 test-mlogloss:0.713344+0.025846
## [378] train-mlogloss:0.098569+0.001384 test-mlogloss:0.713866+0.025995
## [379] train-mlogloss:0.098134+0.001503 test-mlogloss:0.714552+0.025938
## [380] train-mlogloss:0.097660+0.001539 test-mlogloss:0.714648+0.025243
## [381] train-mlogloss:0.097011+0.001595 test-mlogloss:0.715876+0.026068
## [382] train-mlogloss:0.096594+0.001631 test-mlogloss:0.716104+0.026488
## [383] train-mlogloss:0.096412+0.001658 test-mlogloss:0.716406+0.026314
## [384] train-mlogloss:0.096177+0.001575 test-mlogloss:0.716532+0.026821
## [385] train-mlogloss:0.095792+0.001752 test-mlogloss:0.717022+0.026866
## [386] train-mlogloss:0.095402+0.001554 test-mlogloss:0.717195+0.026689
## [387] train-mlogloss:0.095069+0.001474 test-mlogloss:0.717290+0.026650
## [388] train-mlogloss:0.094736+0.001510 test-mlogloss:0.717694+0.026648
## [389] train-mlogloss:0.094439+0.001459 test-mlogloss:0.717976+0.026782
## [390] train-mlogloss:0.094045+0.001312 test-mlogloss:0.718345+0.026742
## [391] train-mlogloss:0.093672+0.001289 test-mlogloss:0.718871+0.026518
## [392] train-mlogloss:0.093267+0.001538 test-mlogloss:0.719233+0.026741
## [393] train-mlogloss:0.092964+0.001619 test-mlogloss:0.719626+0.026727
## [394] train-mlogloss:0.092710+0.001668 test-mlogloss:0.720025+0.026642
## [395] train-mlogloss:0.092469+0.001738 test-mlogloss:0.720197+0.026586
## [396] train-mlogloss:0.092360+0.001747 test-mlogloss:0.720311+0.026559
## [397] train-mlogloss:0.092154+0.001746 test-mlogloss:0.720769+0.026567
## [398] train-mlogloss:0.091812+0.001589 test-mlogloss:0.721147+0.026651
## [399] train-mlogloss:0.091560+0.001538 test-mlogloss:0.721651+0.027353
## [400] train-mlogloss:0.091298+0.001553 test-mlogloss:0.721985+0.026977
## [401] train-mlogloss:0.091057+0.001684 test-mlogloss:0.722639+0.027053
## [402] train-mlogloss:0.090710+0.001824 test-mlogloss:0.722753+0.026790
## [403] train-mlogloss:0.090331+0.001850 test-mlogloss:0.723104+0.026436
## [404] train-mlogloss:0.089943+0.001759 test-mlogloss:0.723662+0.026602
## [405] train-mlogloss:0.089705+0.001758 test-mlogloss:0.723926+0.026375
## [406] train-mlogloss:0.089491+0.001683 test-mlogloss:0.724416+0.025961
## [407] train-mlogloss:0.089201+0.001701 test-mlogloss:0.725107+0.026063
## [408] train-mlogloss:0.088835+0.001741 test-mlogloss:0.725522+0.026174
## [409] train-mlogloss:0.088471+0.001726 test-mlogloss:0.726016+0.026204
## [410] train-mlogloss:0.088231+0.001592 test-mlogloss:0.726627+0.026322
## [411] train-mlogloss:0.087926+0.001651 test-mlogloss:0.727269+0.026809
## [412] train-mlogloss:0.087699+0.001605 test-mlogloss:0.727485+0.027012
## [413] train-mlogloss:0.087472+0.001733 test-mlogloss:0.727904+0.026875
## [414] train-mlogloss:0.087204+0.001828 test-mlogloss:0.728277+0.027086
## [415] train-mlogloss:0.086938+0.001848 test-mlogloss:0.728428+0.027008
## [416] train-mlogloss:0.086584+0.001825 test-mlogloss:0.728699+0.026651
## [417] train-mlogloss:0.086142+0.001905 test-mlogloss:0.729264+0.026785
## [418] train-mlogloss:0.085899+0.001978 test-mlogloss:0.729358+0.026818
## [419] train-mlogloss:0.085646+0.001992 test-mlogloss:0.729948+0.026861
## [420] train-mlogloss:0.085201+0.002028 test-mlogloss:0.730710+0.026911
## [421] train-mlogloss:0.084949+0.002025 test-mlogloss:0.731069+0.026783
## [422] train-mlogloss:0.084656+0.002021 test-mlogloss:0.731258+0.026554
## [423] train-mlogloss:0.084461+0.001934 test-mlogloss:0.731838+0.026772
## [424] train-mlogloss:0.084321+0.001867 test-mlogloss:0.732373+0.026829
## [425] train-mlogloss:0.084009+0.001757 test-mlogloss:0.732723+0.026802
## [426] train-mlogloss:0.083857+0.001737 test-mlogloss:0.732814+0.026326
## [427] train-mlogloss:0.083661+0.001777 test-mlogloss:0.733359+0.026955
## [428] train-mlogloss:0.083457+0.001558 test-mlogloss:0.733500+0.026872
## [429] train-mlogloss:0.083242+0.001553 test-mlogloss:0.734061+0.026696
## [430] train-mlogloss:0.082994+0.001612 test-mlogloss:0.734222+0.026596
## [431] train-mlogloss:0.082689+0.001698 test-mlogloss:0.734501+0.026689
## [432] train-mlogloss:0.082493+0.001645 test-mlogloss:0.735039+0.026727
## [433] train-mlogloss:0.082277+0.001683 test-mlogloss:0.735503+0.026492
## [434] train-mlogloss:0.082084+0.001732 test-mlogloss:0.735534+0.026533
## [435] train-mlogloss:0.081897+0.001724 test-mlogloss:0.735609+0.026663
## [436] train-mlogloss:0.081605+0.001868 test-mlogloss:0.736490+0.026659
## [437] train-mlogloss:0.081245+0.001887 test-mlogloss:0.736865+0.026723
## [438] train-mlogloss:0.080885+0.001909 test-mlogloss:0.737286+0.026918
## [439] train-mlogloss:0.080446+0.001883 test-mlogloss:0.738032+0.027279
## [440] train-mlogloss:0.080191+0.001820 test-mlogloss:0.738825+0.027292
## [441] train-mlogloss:0.079804+0.001927 test-mlogloss:0.739222+0.027450
## [442] train-mlogloss:0.079551+0.001908 test-mlogloss:0.739335+0.027517
## [443] train-mlogloss:0.079331+0.001960 test-mlogloss:0.739743+0.027796
## [444] train-mlogloss:0.078910+0.002080 test-mlogloss:0.740669+0.027750
## [445] train-mlogloss:0.078561+0.002018 test-mlogloss:0.741149+0.027417
## [446] train-mlogloss:0.078188+0.002090 test-mlogloss:0.741859+0.027287
## [447] train-mlogloss:0.077955+0.002194 test-mlogloss:0.742105+0.027324
## [448] train-mlogloss:0.077704+0.002255 test-mlogloss:0.742505+0.027443
## [449] train-mlogloss:0.077545+0.002291 test-mlogloss:0.742848+0.027401
## [450] train-mlogloss:0.077360+0.002304 test-mlogloss:0.743367+0.027712
## [451] train-mlogloss:0.077105+0.002327 test-mlogloss:0.743663+0.027625
## [452] train-mlogloss:0.076829+0.002319 test-mlogloss:0.744208+0.027669
## [453] train-mlogloss:0.076682+0.002223 test-mlogloss:0.744721+0.027509
## [454] train-mlogloss:0.076501+0.002230 test-mlogloss:0.745103+0.027425
## [455] train-mlogloss:0.076246+0.002205 test-mlogloss:0.745455+0.027665
## [456] train-mlogloss:0.076059+0.002162 test-mlogloss:0.745670+0.027811
## [457] train-mlogloss:0.075765+0.002134 test-mlogloss:0.745902+0.027978
## [458] train-mlogloss:0.075485+0.002150 test-mlogloss:0.746352+0.027778
## [459] train-mlogloss:0.075312+0.002255 test-mlogloss:0.746450+0.027882
## [460] train-mlogloss:0.075166+0.002136 test-mlogloss:0.746639+0.027923
## [461] train-mlogloss:0.074941+0.001952 test-mlogloss:0.746930+0.027996
## [462] train-mlogloss:0.074606+0.001968 test-mlogloss:0.747268+0.027594
## [463] train-mlogloss:0.074470+0.001946 test-mlogloss:0.747599+0.027662
## [464] train-mlogloss:0.074238+0.002033 test-mlogloss:0.748079+0.028045
## [465] train-mlogloss:0.073946+0.002096 test-mlogloss:0.748649+0.028312
## [466] train-mlogloss:0.073679+0.002141 test-mlogloss:0.749135+0.028225
## [467] train-mlogloss:0.073386+0.002069 test-mlogloss:0.749431+0.028505
## [468] train-mlogloss:0.073233+0.002042 test-mlogloss:0.749853+0.028458
## [469] train-mlogloss:0.073062+0.002063 test-mlogloss:0.750197+0.028513
## [470] train-mlogloss:0.072815+0.001969 test-mlogloss:0.750936+0.028413
## [471] train-mlogloss:0.072489+0.001903 test-mlogloss:0.751328+0.028488
## [472] train-mlogloss:0.072264+0.001759 test-mlogloss:0.751544+0.028662
## [473] train-mlogloss:0.072098+0.001810 test-mlogloss:0.751787+0.028613
## [474] train-mlogloss:0.071937+0.001722 test-mlogloss:0.752007+0.028663
## [475] train-mlogloss:0.071702+0.001858 test-mlogloss:0.752639+0.028587
## [476] train-mlogloss:0.071429+0.001831 test-mlogloss:0.752597+0.028697
## [477] train-mlogloss:0.071240+0.001726 test-mlogloss:0.753053+0.028608
## [478] train-mlogloss:0.071082+0.001766 test-mlogloss:0.753290+0.028728
## [479] train-mlogloss:0.070983+0.001787 test-mlogloss:0.753663+0.028905
## [480] train-mlogloss:0.070784+0.001816 test-mlogloss:0.753977+0.028782
## [481] train-mlogloss:0.070660+0.001800 test-mlogloss:0.754417+0.028770
## [482] train-mlogloss:0.070372+0.001667 test-mlogloss:0.755017+0.028669
## [483] train-mlogloss:0.070149+0.001685 test-mlogloss:0.755807+0.028833
## [484] train-mlogloss:0.069902+0.001681 test-mlogloss:0.756495+0.029381
## [485] train-mlogloss:0.069592+0.001644 test-mlogloss:0.756790+0.029981
## [486] train-mlogloss:0.069401+0.001605 test-mlogloss:0.757256+0.030376
## [487] train-mlogloss:0.069089+0.001583 test-mlogloss:0.757903+0.030118
## [488] train-mlogloss:0.068770+0.001644 test-mlogloss:0.758196+0.030109
## [489] train-mlogloss:0.068453+0.001655 test-mlogloss:0.758284+0.029997
## [490] train-mlogloss:0.068156+0.001529 test-mlogloss:0.758732+0.029902
## [491] train-mlogloss:0.067969+0.001548 test-mlogloss:0.759087+0.029985
## [492] train-mlogloss:0.067762+0.001544 test-mlogloss:0.759600+0.029839
## [493] train-mlogloss:0.067480+0.001476 test-mlogloss:0.759988+0.029719
## [494] train-mlogloss:0.067254+0.001401 test-mlogloss:0.760258+0.029856
## [495] train-mlogloss:0.067014+0.001425 test-mlogloss:0.760732+0.029707
## [496] train-mlogloss:0.066803+0.001263 test-mlogloss:0.761109+0.029614
## [497] train-mlogloss:0.066555+0.001280 test-mlogloss:0.761689+0.030023
## [498] train-mlogloss:0.066402+0.001238 test-mlogloss:0.761653+0.030105
## [499] train-mlogloss:0.066269+0.001212 test-mlogloss:0.761878+0.030142
## [500] train-mlogloss:0.066120+0.001274 test-mlogloss:0.762478+0.029876
## [1] train-mlogloss:0.549878+0.000938 test-mlogloss:0.634424+0.003387
## [2] train-mlogloss:0.457353+0.001377 test-mlogloss:0.605360+0.010436
## [3] train-mlogloss:0.387624+0.002225 test-mlogloss:0.590483+0.013083
## [4] train-mlogloss:0.333869+0.001867 test-mlogloss:0.583089+0.013960
## [5] train-mlogloss:0.291854+0.001406 test-mlogloss:0.582493+0.015058
## [6] train-mlogloss:0.258276+0.001627 test-mlogloss:0.584419+0.016832
## [7] train-mlogloss:0.229902+0.001450 test-mlogloss:0.589498+0.015572
## [8] train-mlogloss:0.206256+0.001442 test-mlogloss:0.594930+0.016326
## [9] train-mlogloss:0.186749+0.001254 test-mlogloss:0.598024+0.016603
## [10] train-mlogloss:0.170233+0.001203 test-mlogloss:0.603415+0.016322
## [11] train-mlogloss:0.156893+0.001560 test-mlogloss:0.608367+0.016627
## [12] train-mlogloss:0.146058+0.001763 test-mlogloss:0.612823+0.017156
## [13] train-mlogloss:0.136958+0.001533 test-mlogloss:0.616841+0.017600
## [14] train-mlogloss:0.128824+0.002275 test-mlogloss:0.621363+0.016669
## [15] train-mlogloss:0.122950+0.002542 test-mlogloss:0.624392+0.017755
## [16] train-mlogloss:0.116703+0.002316 test-mlogloss:0.626109+0.017488
## [17] train-mlogloss:0.110528+0.002329 test-mlogloss:0.629644+0.017749
## [18] train-mlogloss:0.105089+0.002088 test-mlogloss:0.633365+0.017421
## [19] train-mlogloss:0.100351+0.002116 test-mlogloss:0.636859+0.017564
## [20] train-mlogloss:0.096048+0.002844 test-mlogloss:0.639559+0.019066
## [21] train-mlogloss:0.092322+0.003499 test-mlogloss:0.643217+0.019953
## [22] train-mlogloss:0.088735+0.003026 test-mlogloss:0.646480+0.020758
## [23] train-mlogloss:0.085386+0.002754 test-mlogloss:0.650134+0.020931
## [24] train-mlogloss:0.082263+0.001562 test-mlogloss:0.652502+0.019979
## [25] train-mlogloss:0.080419+0.000848 test-mlogloss:0.654852+0.019463
## [26] train-mlogloss:0.078331+0.001314 test-mlogloss:0.657131+0.020184
## [27] train-mlogloss:0.075648+0.001479 test-mlogloss:0.659202+0.020998
## [28] train-mlogloss:0.073451+0.001737 test-mlogloss:0.662811+0.021612
## [29] train-mlogloss:0.070998+0.001751 test-mlogloss:0.665017+0.022763
## [30] train-mlogloss:0.068861+0.002384 test-mlogloss:0.667369+0.023371
## [31] train-mlogloss:0.067118+0.002945 test-mlogloss:0.669742+0.024143
## [32] train-mlogloss:0.065614+0.002632 test-mlogloss:0.671612+0.024610
## [33] train-mlogloss:0.063906+0.002385 test-mlogloss:0.673896+0.025233
## [34] train-mlogloss:0.061878+0.002444 test-mlogloss:0.675914+0.025282
## [35] train-mlogloss:0.060382+0.002440 test-mlogloss:0.677481+0.025075
## [36] train-mlogloss:0.058796+0.002680 test-mlogloss:0.679617+0.025905
## [37] train-mlogloss:0.057263+0.002768 test-mlogloss:0.682109+0.025659
## [38] train-mlogloss:0.055967+0.002689 test-mlogloss:0.684735+0.025162
## [39] train-mlogloss:0.054452+0.002757 test-mlogloss:0.686609+0.025447
## [40] train-mlogloss:0.053414+0.002935 test-mlogloss:0.689594+0.027139
## [41] train-mlogloss:0.052493+0.003046 test-mlogloss:0.692637+0.026894
## [42] train-mlogloss:0.050877+0.002860 test-mlogloss:0.695312+0.027596
## [43] train-mlogloss:0.049886+0.003068 test-mlogloss:0.698297+0.028194
## [44] train-mlogloss:0.048905+0.003077 test-mlogloss:0.700086+0.029878
## [45] train-mlogloss:0.048283+0.003253 test-mlogloss:0.701583+0.030174
## [46] train-mlogloss:0.047051+0.003230 test-mlogloss:0.703900+0.030455
## [47] train-mlogloss:0.046172+0.003059 test-mlogloss:0.705365+0.030821
## [48] train-mlogloss:0.045287+0.003049 test-mlogloss:0.707338+0.030364
## [49] train-mlogloss:0.044317+0.002692 test-mlogloss:0.709362+0.029409
## [50] train-mlogloss:0.043468+0.002679 test-mlogloss:0.711360+0.029666
## [51] train-mlogloss:0.042890+0.002882 test-mlogloss:0.713479+0.030442
## [52] train-mlogloss:0.042157+0.002814 test-mlogloss:0.715720+0.030141
## [53] train-mlogloss:0.041393+0.002870 test-mlogloss:0.717400+0.030293
## [54] train-mlogloss:0.040565+0.002563 test-mlogloss:0.719780+0.029804
## [55] train-mlogloss:0.039818+0.002474 test-mlogloss:0.721821+0.030466
## [56] train-mlogloss:0.039064+0.002358 test-mlogloss:0.723658+0.030971
## [57] train-mlogloss:0.038394+0.002275 test-mlogloss:0.725368+0.031028
## [58] train-mlogloss:0.037715+0.002274 test-mlogloss:0.727316+0.030970
## [59] train-mlogloss:0.037091+0.002202 test-mlogloss:0.729798+0.031716
## [60] train-mlogloss:0.036274+0.002048 test-mlogloss:0.731353+0.031521
## [61] train-mlogloss:0.035694+0.002141 test-mlogloss:0.732763+0.032303
## [62] train-mlogloss:0.035184+0.001955 test-mlogloss:0.734162+0.032444
## [63] train-mlogloss:0.034509+0.001836 test-mlogloss:0.735839+0.032056
## [64] train-mlogloss:0.034070+0.001927 test-mlogloss:0.737397+0.031973
## [65] train-mlogloss:0.033540+0.001862 test-mlogloss:0.739332+0.032211
## [66] train-mlogloss:0.033112+0.001865 test-mlogloss:0.740663+0.032180
## [67] train-mlogloss:0.032535+0.001801 test-mlogloss:0.742485+0.032795
## [68] train-mlogloss:0.031981+0.001703 test-mlogloss:0.744408+0.032525
## [69] train-mlogloss:0.031474+0.001608 test-mlogloss:0.746026+0.032350
## [70] train-mlogloss:0.031013+0.001588 test-mlogloss:0.747738+0.032621
## [71] train-mlogloss:0.030537+0.001576 test-mlogloss:0.749553+0.032518
## [72] train-mlogloss:0.030116+0.001621 test-mlogloss:0.751418+0.032474
## [73] train-mlogloss:0.029735+0.001567 test-mlogloss:0.752898+0.033310
## [74] train-mlogloss:0.029384+0.001552 test-mlogloss:0.754382+0.033320
## [75] train-mlogloss:0.028988+0.001453 test-mlogloss:0.755616+0.033520
## [76] train-mlogloss:0.028545+0.001342 test-mlogloss:0.757102+0.033525
## [77] train-mlogloss:0.028252+0.001342 test-mlogloss:0.758277+0.033891
## [78] train-mlogloss:0.027866+0.001244 test-mlogloss:0.759428+0.034158
## [79] train-mlogloss:0.027500+0.001199 test-mlogloss:0.760342+0.033807
## [80] train-mlogloss:0.027084+0.001155 test-mlogloss:0.762641+0.033690
## [81] train-mlogloss:0.026813+0.001156 test-mlogloss:0.763678+0.033588
## [82] train-mlogloss:0.026465+0.001138 test-mlogloss:0.765504+0.033123
## [83] train-mlogloss:0.026209+0.001103 test-mlogloss:0.766839+0.033319
## [84] train-mlogloss:0.025960+0.001108 test-mlogloss:0.768138+0.033781
## [85] train-mlogloss:0.025664+0.001132 test-mlogloss:0.769499+0.033634
## [86] train-mlogloss:0.025447+0.001202 test-mlogloss:0.770290+0.033831
## [87] train-mlogloss:0.025113+0.001162 test-mlogloss:0.771720+0.033614
## [88] train-mlogloss:0.024850+0.001108 test-mlogloss:0.773023+0.033626
## [89] train-mlogloss:0.024538+0.001036 test-mlogloss:0.774303+0.033816
## [90] train-mlogloss:0.024239+0.001006 test-mlogloss:0.775829+0.033410
## [91] train-mlogloss:0.023943+0.001025 test-mlogloss:0.777466+0.033433
## [92] train-mlogloss:0.023675+0.000987 test-mlogloss:0.779230+0.033118
## [93] train-mlogloss:0.023441+0.000952 test-mlogloss:0.780442+0.032970
## [94] train-mlogloss:0.023152+0.000927 test-mlogloss:0.781969+0.033365
## [95] train-mlogloss:0.022888+0.000885 test-mlogloss:0.783883+0.033401
## [96] train-mlogloss:0.022668+0.000893 test-mlogloss:0.785024+0.034013
## [97] train-mlogloss:0.022424+0.000885 test-mlogloss:0.785819+0.033909
## [98] train-mlogloss:0.022183+0.000871 test-mlogloss:0.787209+0.034082
## [99] train-mlogloss:0.021991+0.000856 test-mlogloss:0.788564+0.033688
## [100] train-mlogloss:0.021794+0.000811 test-mlogloss:0.789621+0.033311
## [101] train-mlogloss:0.021575+0.000834 test-mlogloss:0.791010+0.033750
## [102] train-mlogloss:0.021362+0.000864 test-mlogloss:0.791808+0.034174
## [103] train-mlogloss:0.021163+0.000882 test-mlogloss:0.793187+0.034137
## [104] train-mlogloss:0.020975+0.000860 test-mlogloss:0.794647+0.034102
## [105] train-mlogloss:0.020769+0.000821 test-mlogloss:0.796011+0.033981
## [106] train-mlogloss:0.020577+0.000798 test-mlogloss:0.797374+0.034730
## [107] train-mlogloss:0.020356+0.000779 test-mlogloss:0.798901+0.034753
## [108] train-mlogloss:0.020173+0.000782 test-mlogloss:0.800323+0.034578
## [109] train-mlogloss:0.019984+0.000771 test-mlogloss:0.801152+0.034741
## [110] train-mlogloss:0.019800+0.000779 test-mlogloss:0.802647+0.034964
## [111] train-mlogloss:0.019616+0.000732 test-mlogloss:0.804033+0.035044
## [112] train-mlogloss:0.019421+0.000719 test-mlogloss:0.805090+0.034841
## [113] train-mlogloss:0.019247+0.000713 test-mlogloss:0.806004+0.035357
## [114] train-mlogloss:0.019068+0.000703 test-mlogloss:0.807052+0.035587
## [115] train-mlogloss:0.018912+0.000696 test-mlogloss:0.808077+0.035065
## [116] train-mlogloss:0.018735+0.000691 test-mlogloss:0.809631+0.035312
## [117] train-mlogloss:0.018581+0.000691 test-mlogloss:0.811252+0.035844
## [118] train-mlogloss:0.018430+0.000674 test-mlogloss:0.812065+0.036328
## [119] train-mlogloss:0.018278+0.000647 test-mlogloss:0.813463+0.035784
## [120] train-mlogloss:0.018124+0.000636 test-mlogloss:0.814467+0.035038
## [121] train-mlogloss:0.017998+0.000633 test-mlogloss:0.814850+0.035026
## [122] train-mlogloss:0.017860+0.000617 test-mlogloss:0.816363+0.035214
## [123] train-mlogloss:0.017720+0.000616 test-mlogloss:0.817133+0.035444
## [124] train-mlogloss:0.017564+0.000615 test-mlogloss:0.817755+0.035671
## [125] train-mlogloss:0.017431+0.000602 test-mlogloss:0.819365+0.035478
## [126] train-mlogloss:0.017295+0.000591 test-mlogloss:0.820725+0.035489
## [127] train-mlogloss:0.017164+0.000586 test-mlogloss:0.821412+0.035896
## [128] train-mlogloss:0.017012+0.000575 test-mlogloss:0.822729+0.035657
## [129] train-mlogloss:0.016858+0.000562 test-mlogloss:0.824255+0.036694
## [130] train-mlogloss:0.016741+0.000540 test-mlogloss:0.824800+0.036064
## [131] train-mlogloss:0.016620+0.000526 test-mlogloss:0.825771+0.036030
## [132] train-mlogloss:0.016513+0.000519 test-mlogloss:0.826547+0.036211
## [133] train-mlogloss:0.016399+0.000506 test-mlogloss:0.827650+0.036363
## [134] train-mlogloss:0.016277+0.000484 test-mlogloss:0.828991+0.036230
## [135] train-mlogloss:0.016151+0.000475 test-mlogloss:0.830017+0.036389
## [136] train-mlogloss:0.016037+0.000477 test-mlogloss:0.830667+0.036578
## [137] train-mlogloss:0.015920+0.000465 test-mlogloss:0.831657+0.037100
## [138] train-mlogloss:0.015819+0.000461 test-mlogloss:0.832244+0.037214
## [139] train-mlogloss:0.015711+0.000466 test-mlogloss:0.832934+0.037183
## [140] train-mlogloss:0.015598+0.000459 test-mlogloss:0.834045+0.037383
## [141] train-mlogloss:0.015498+0.000441 test-mlogloss:0.834992+0.037707
## [142] train-mlogloss:0.015401+0.000428 test-mlogloss:0.836055+0.037298
## [143] train-mlogloss:0.015302+0.000420 test-mlogloss:0.836799+0.037362
## [144] train-mlogloss:0.015200+0.000419 test-mlogloss:0.837608+0.037459
## [145] train-mlogloss:0.015114+0.000424 test-mlogloss:0.838318+0.037687
## [146] train-mlogloss:0.015022+0.000415 test-mlogloss:0.839169+0.037853
## [147] train-mlogloss:0.014924+0.000412 test-mlogloss:0.840247+0.037883
## [148] train-mlogloss:0.014830+0.000412 test-mlogloss:0.841053+0.037702
## [149] train-mlogloss:0.014735+0.000406 test-mlogloss:0.841934+0.037458
## [150] train-mlogloss:0.014635+0.000403 test-mlogloss:0.842556+0.037359
## [151] train-mlogloss:0.014548+0.000396 test-mlogloss:0.843132+0.037413
## [152] train-mlogloss:0.014452+0.000387 test-mlogloss:0.843566+0.037518
## [153] train-mlogloss:0.014352+0.000385 test-mlogloss:0.844679+0.037734
## [154] train-mlogloss:0.014259+0.000381 test-mlogloss:0.845250+0.037896
## [155] train-mlogloss:0.014167+0.000378 test-mlogloss:0.845721+0.037763
## [156] train-mlogloss:0.014081+0.000375 test-mlogloss:0.846576+0.037474
## [157] train-mlogloss:0.013989+0.000370 test-mlogloss:0.847263+0.037313
## [158] train-mlogloss:0.013897+0.000365 test-mlogloss:0.848177+0.037282
## [159] train-mlogloss:0.013814+0.000356 test-mlogloss:0.848950+0.037291
## [160] train-mlogloss:0.013736+0.000355 test-mlogloss:0.849818+0.037260
## [161] train-mlogloss:0.013656+0.000348 test-mlogloss:0.850395+0.037581
## [162] train-mlogloss:0.013583+0.000341 test-mlogloss:0.850851+0.037692
## [163] train-mlogloss:0.013510+0.000333 test-mlogloss:0.851666+0.037176
## [164] train-mlogloss:0.013446+0.000325 test-mlogloss:0.852160+0.037451
## [165] train-mlogloss:0.013368+0.000323 test-mlogloss:0.853399+0.037423
## [166] train-mlogloss:0.013307+0.000328 test-mlogloss:0.854371+0.037374
## [167] train-mlogloss:0.013237+0.000327 test-mlogloss:0.855385+0.037571
## [168] train-mlogloss:0.013168+0.000326 test-mlogloss:0.856568+0.037569
## [169] train-mlogloss:0.013091+0.000321 test-mlogloss:0.857132+0.037782
## [170] train-mlogloss:0.013017+0.000309 test-mlogloss:0.857497+0.037506
## [171] train-mlogloss:0.012946+0.000307 test-mlogloss:0.858007+0.037433
## [172] train-mlogloss:0.012880+0.000297 test-mlogloss:0.858951+0.037682
## [173] train-mlogloss:0.012813+0.000294 test-mlogloss:0.859616+0.037501
## [174] train-mlogloss:0.012743+0.000287 test-mlogloss:0.859947+0.037400
## [175] train-mlogloss:0.012679+0.000289 test-mlogloss:0.861074+0.037359
## [176] train-mlogloss:0.012614+0.000287 test-mlogloss:0.861797+0.037421
## [177] train-mlogloss:0.012553+0.000284 test-mlogloss:0.862470+0.037214
## [178] train-mlogloss:0.012487+0.000282 test-mlogloss:0.862822+0.037198
## [179] train-mlogloss:0.012421+0.000279 test-mlogloss:0.863542+0.036827
## [180] train-mlogloss:0.012360+0.000286 test-mlogloss:0.864022+0.036756
## [181] train-mlogloss:0.012300+0.000289 test-mlogloss:0.864768+0.036776
## [182] train-mlogloss:0.012241+0.000288 test-mlogloss:0.865740+0.037078
## [183] train-mlogloss:0.012183+0.000282 test-mlogloss:0.866694+0.036764
## [184] train-mlogloss:0.012123+0.000285 test-mlogloss:0.867511+0.036599
## [185] train-mlogloss:0.012069+0.000281 test-mlogloss:0.868383+0.036789
## [186] train-mlogloss:0.012012+0.000278 test-mlogloss:0.869092+0.036438
## [187] train-mlogloss:0.011954+0.000277 test-mlogloss:0.869451+0.036436
## [188] train-mlogloss:0.011897+0.000278 test-mlogloss:0.870146+0.036456
## [189] train-mlogloss:0.011846+0.000276 test-mlogloss:0.871006+0.036203
## [190] train-mlogloss:0.011786+0.000269 test-mlogloss:0.871845+0.036182
## [191] train-mlogloss:0.011732+0.000265 test-mlogloss:0.872298+0.036213
## [192] train-mlogloss:0.011676+0.000259 test-mlogloss:0.872989+0.036077
## [193] train-mlogloss:0.011620+0.000255 test-mlogloss:0.873342+0.035995
## [194] train-mlogloss:0.011570+0.000250 test-mlogloss:0.873943+0.036142
## [195] train-mlogloss:0.011517+0.000250 test-mlogloss:0.874396+0.036270
## [196] train-mlogloss:0.011462+0.000253 test-mlogloss:0.874994+0.036095
## [197] train-mlogloss:0.011411+0.000245 test-mlogloss:0.875631+0.036079
## [198] train-mlogloss:0.011362+0.000245 test-mlogloss:0.876202+0.035945
## [199] train-mlogloss:0.011311+0.000242 test-mlogloss:0.876786+0.036071
## [200] train-mlogloss:0.011265+0.000240 test-mlogloss:0.877524+0.035654
## [201] train-mlogloss:0.011213+0.000236 test-mlogloss:0.878112+0.035465
## [202] train-mlogloss:0.011164+0.000235 test-mlogloss:0.878523+0.035554
## [203] train-mlogloss:0.011120+0.000238 test-mlogloss:0.879067+0.035580
## [204] train-mlogloss:0.011072+0.000237 test-mlogloss:0.879915+0.035801
## [205] train-mlogloss:0.011026+0.000231 test-mlogloss:0.880521+0.035594
## [206] train-mlogloss:0.010978+0.000230 test-mlogloss:0.880782+0.035484
## [207] train-mlogloss:0.010934+0.000227 test-mlogloss:0.881027+0.035547
## [208] train-mlogloss:0.010882+0.000226 test-mlogloss:0.881878+0.035388
## [209] train-mlogloss:0.010837+0.000222 test-mlogloss:0.882419+0.035359
## [210] train-mlogloss:0.010793+0.000219 test-mlogloss:0.882912+0.035560
## [211] train-mlogloss:0.010748+0.000218 test-mlogloss:0.883656+0.035672
## [212] train-mlogloss:0.010705+0.000217 test-mlogloss:0.884610+0.035736
## [213] train-mlogloss:0.010663+0.000219 test-mlogloss:0.885122+0.035852
## [214] train-mlogloss:0.010622+0.000217 test-mlogloss:0.885331+0.035640
## [215] train-mlogloss:0.010584+0.000211 test-mlogloss:0.885751+0.035593
## [216] train-mlogloss:0.010539+0.000210 test-mlogloss:0.886451+0.035637
## [217] train-mlogloss:0.010496+0.000208 test-mlogloss:0.887007+0.035506
## [218] train-mlogloss:0.010455+0.000205 test-mlogloss:0.887172+0.035280
## [219] train-mlogloss:0.010415+0.000203 test-mlogloss:0.887826+0.035456
## [220] train-mlogloss:0.010371+0.000202 test-mlogloss:0.888245+0.035539
## [221] train-mlogloss:0.010331+0.000196 test-mlogloss:0.888717+0.035281
## [222] train-mlogloss:0.010290+0.000196 test-mlogloss:0.889048+0.035036
## [223] train-mlogloss:0.010257+0.000194 test-mlogloss:0.889575+0.034948
## [224] train-mlogloss:0.010218+0.000192 test-mlogloss:0.889873+0.034998
## [225] train-mlogloss:0.010182+0.000190 test-mlogloss:0.890398+0.035141
## [226] train-mlogloss:0.010145+0.000190 test-mlogloss:0.891166+0.035210
## [227] train-mlogloss:0.010110+0.000189 test-mlogloss:0.891422+0.035242
## [228] train-mlogloss:0.010071+0.000188 test-mlogloss:0.892328+0.035400
## [229] train-mlogloss:0.010037+0.000189 test-mlogloss:0.892843+0.035733
## [230] train-mlogloss:0.010001+0.000184 test-mlogloss:0.893377+0.035542
## [231] train-mlogloss:0.009970+0.000181 test-mlogloss:0.893885+0.035532
## [232] train-mlogloss:0.009933+0.000178 test-mlogloss:0.893992+0.035389
## [233] train-mlogloss:0.009895+0.000174 test-mlogloss:0.893905+0.035245
## [234] train-mlogloss:0.009860+0.000175 test-mlogloss:0.894365+0.035438
## [235] train-mlogloss:0.009826+0.000172 test-mlogloss:0.894952+0.035621
## [236] train-mlogloss:0.009794+0.000174 test-mlogloss:0.895089+0.035667
## [237] train-mlogloss:0.009761+0.000174 test-mlogloss:0.895565+0.035813
## [238] train-mlogloss:0.009730+0.000173 test-mlogloss:0.895999+0.035905
## [239] train-mlogloss:0.009698+0.000172 test-mlogloss:0.896608+0.035994
## [240] train-mlogloss:0.009665+0.000171 test-mlogloss:0.896981+0.035884
## [241] train-mlogloss:0.009636+0.000168 test-mlogloss:0.897359+0.035971
## [242] train-mlogloss:0.009602+0.000168 test-mlogloss:0.897811+0.036127
## [243] train-mlogloss:0.009570+0.000165 test-mlogloss:0.898067+0.036380
## [244] train-mlogloss:0.009534+0.000163 test-mlogloss:0.898950+0.036461
## [245] train-mlogloss:0.009501+0.000161 test-mlogloss:0.899371+0.036466
## [246] train-mlogloss:0.009472+0.000160 test-mlogloss:0.900217+0.036773
## [247] train-mlogloss:0.009442+0.000162 test-mlogloss:0.900903+0.036662
## [248] train-mlogloss:0.009410+0.000161 test-mlogloss:0.901368+0.036588
## [249] train-mlogloss:0.009380+0.000160 test-mlogloss:0.901841+0.036726
## [250] train-mlogloss:0.009347+0.000159 test-mlogloss:0.902421+0.036655
## [251] train-mlogloss:0.009318+0.000160 test-mlogloss:0.903271+0.036658
## [252] train-mlogloss:0.009290+0.000159 test-mlogloss:0.903519+0.036602
## [253] train-mlogloss:0.009259+0.000156 test-mlogloss:0.903966+0.036427
## [254] train-mlogloss:0.009230+0.000154 test-mlogloss:0.904491+0.036506
## [255] train-mlogloss:0.009201+0.000154 test-mlogloss:0.905030+0.036338
## [256] train-mlogloss:0.009172+0.000153 test-mlogloss:0.905504+0.036238
## [257] train-mlogloss:0.009143+0.000152 test-mlogloss:0.905834+0.036349
## [258] train-mlogloss:0.009116+0.000149 test-mlogloss:0.906416+0.036395
## [259] train-mlogloss:0.009088+0.000147 test-mlogloss:0.906830+0.036263
## [260] train-mlogloss:0.009060+0.000148 test-mlogloss:0.907353+0.036274
## [261] train-mlogloss:0.009032+0.000146 test-mlogloss:0.907937+0.036118
## [262] train-mlogloss:0.009002+0.000144 test-mlogloss:0.908464+0.035977
## [263] train-mlogloss:0.008973+0.000143 test-mlogloss:0.909171+0.035738
## [264] train-mlogloss:0.008947+0.000143 test-mlogloss:0.909515+0.035659
## [265] train-mlogloss:0.008918+0.000142 test-mlogloss:0.910061+0.036015
## [266] train-mlogloss:0.008891+0.000143 test-mlogloss:0.910320+0.035738
## [267] train-mlogloss:0.008867+0.000143 test-mlogloss:0.910569+0.035708
## [268] train-mlogloss:0.008840+0.000141 test-mlogloss:0.910972+0.035795
## [269] train-mlogloss:0.008815+0.000139 test-mlogloss:0.911766+0.036080
## [270] train-mlogloss:0.008789+0.000137 test-mlogloss:0.912030+0.035701
## [271] train-mlogloss:0.008763+0.000135 test-mlogloss:0.912202+0.035637
## [272] train-mlogloss:0.008737+0.000134 test-mlogloss:0.912580+0.035625
## [273] train-mlogloss:0.008712+0.000136 test-mlogloss:0.913102+0.035406
## [274] train-mlogloss:0.008688+0.000137 test-mlogloss:0.913445+0.035379
## [275] train-mlogloss:0.008664+0.000135 test-mlogloss:0.913873+0.035648
## [276] train-mlogloss:0.008637+0.000133 test-mlogloss:0.914419+0.035699
## [277] train-mlogloss:0.008608+0.000135 test-mlogloss:0.914552+0.035810
## [278] train-mlogloss:0.008586+0.000133 test-mlogloss:0.914591+0.035986
## [279] train-mlogloss:0.008560+0.000132 test-mlogloss:0.915172+0.035924
## [280] train-mlogloss:0.008537+0.000131 test-mlogloss:0.915310+0.035768
## [281] train-mlogloss:0.008514+0.000130 test-mlogloss:0.915455+0.035810
## [282] train-mlogloss:0.008488+0.000131 test-mlogloss:0.915406+0.035956
## [283] train-mlogloss:0.008465+0.000131 test-mlogloss:0.915876+0.036196
## [284] train-mlogloss:0.008441+0.000130 test-mlogloss:0.916370+0.036419
## [285] train-mlogloss:0.008419+0.000127 test-mlogloss:0.916719+0.036497
## [286] train-mlogloss:0.008396+0.000125 test-mlogloss:0.917268+0.036696
## [287] train-mlogloss:0.008372+0.000124 test-mlogloss:0.917483+0.036916
## [288] train-mlogloss:0.008349+0.000122 test-mlogloss:0.918071+0.036455
## [289] train-mlogloss:0.008328+0.000121 test-mlogloss:0.918659+0.036278
## [290] train-mlogloss:0.008306+0.000122 test-mlogloss:0.919221+0.036285
## [291] train-mlogloss:0.008283+0.000124 test-mlogloss:0.919237+0.036461
## [292] train-mlogloss:0.008261+0.000124 test-mlogloss:0.919467+0.036383
## [293] train-mlogloss:0.008240+0.000124 test-mlogloss:0.919954+0.036293
## [294] train-mlogloss:0.008217+0.000123 test-mlogloss:0.920452+0.036312
## [295] train-mlogloss:0.008196+0.000123 test-mlogloss:0.921061+0.036405
## [296] train-mlogloss:0.008176+0.000120 test-mlogloss:0.921397+0.036707
## [297] train-mlogloss:0.008154+0.000118 test-mlogloss:0.921687+0.036786
## [298] train-mlogloss:0.008134+0.000117 test-mlogloss:0.922075+0.036943
## [299] train-mlogloss:0.008114+0.000116 test-mlogloss:0.922416+0.036999
## [300] train-mlogloss:0.008093+0.000114 test-mlogloss:0.922907+0.037089
## [301] train-mlogloss:0.008071+0.000113 test-mlogloss:0.923122+0.037262
## [302] train-mlogloss:0.008050+0.000108 test-mlogloss:0.923435+0.037329
## [303] train-mlogloss:0.008031+0.000108 test-mlogloss:0.923774+0.037226
## [304] train-mlogloss:0.008010+0.000110 test-mlogloss:0.924033+0.037357
## [305] train-mlogloss:0.007990+0.000112 test-mlogloss:0.924504+0.037419
## [306] train-mlogloss:0.007970+0.000113 test-mlogloss:0.924780+0.037540
## [307] train-mlogloss:0.007950+0.000113 test-mlogloss:0.924977+0.037603
## [308] train-mlogloss:0.007931+0.000111 test-mlogloss:0.925403+0.037759
## [309] train-mlogloss:0.007910+0.000109 test-mlogloss:0.925927+0.037541
## [310] train-mlogloss:0.007892+0.000110 test-mlogloss:0.926182+0.037406
## [311] train-mlogloss:0.007874+0.000110 test-mlogloss:0.926677+0.037606
## [312] train-mlogloss:0.007853+0.000109 test-mlogloss:0.927044+0.037798
## [313] train-mlogloss:0.007835+0.000108 test-mlogloss:0.927245+0.037615
## [314] train-mlogloss:0.007817+0.000107 test-mlogloss:0.927813+0.037686
## [315] train-mlogloss:0.007798+0.000108 test-mlogloss:0.928470+0.037902
## [316] train-mlogloss:0.007778+0.000107 test-mlogloss:0.928787+0.037867
## [317] train-mlogloss:0.007760+0.000107 test-mlogloss:0.929004+0.037786
## [318] train-mlogloss:0.007741+0.000105 test-mlogloss:0.929438+0.037631
## [319] train-mlogloss:0.007723+0.000105 test-mlogloss:0.929635+0.037346
## [320] train-mlogloss:0.007707+0.000105 test-mlogloss:0.929933+0.037665
## [321] train-mlogloss:0.007691+0.000104 test-mlogloss:0.930362+0.037624
## [322] train-mlogloss:0.007675+0.000104 test-mlogloss:0.930977+0.037763
## [323] train-mlogloss:0.007659+0.000103 test-mlogloss:0.931097+0.037814
## [324] train-mlogloss:0.007642+0.000102 test-mlogloss:0.931356+0.038032
## [325] train-mlogloss:0.007626+0.000102 test-mlogloss:0.931752+0.038080
## [326] train-mlogloss:0.007609+0.000101 test-mlogloss:0.932116+0.038206
## [327] train-mlogloss:0.007592+0.000098 test-mlogloss:0.932494+0.037927
## [328] train-mlogloss:0.007574+0.000099 test-mlogloss:0.932971+0.038146
## [329] train-mlogloss:0.007559+0.000097 test-mlogloss:0.933202+0.037861
## [330] train-mlogloss:0.007543+0.000097 test-mlogloss:0.933663+0.038087
## [331] train-mlogloss:0.007526+0.000098 test-mlogloss:0.934069+0.038121
## [332] train-mlogloss:0.007509+0.000097 test-mlogloss:0.934241+0.038023
## [333] train-mlogloss:0.007494+0.000096 test-mlogloss:0.934478+0.037972
## [334] train-mlogloss:0.007475+0.000097 test-mlogloss:0.934757+0.038032
## [335] train-mlogloss:0.007458+0.000095 test-mlogloss:0.935245+0.037870
## [336] train-mlogloss:0.007442+0.000095 test-mlogloss:0.935429+0.037923
## [337] train-mlogloss:0.007426+0.000093 test-mlogloss:0.935813+0.037979
## [338] train-mlogloss:0.007409+0.000093 test-mlogloss:0.936262+0.038128
## [339] train-mlogloss:0.007392+0.000093 test-mlogloss:0.936516+0.038185
## [340] train-mlogloss:0.007376+0.000093 test-mlogloss:0.936599+0.038281
## [341] train-mlogloss:0.007360+0.000091 test-mlogloss:0.936940+0.038343
## [342] train-mlogloss:0.007344+0.000090 test-mlogloss:0.937317+0.038389
## [343] train-mlogloss:0.007327+0.000091 test-mlogloss:0.937728+0.038391
## [344] train-mlogloss:0.007313+0.000091 test-mlogloss:0.938098+0.038452
## [345] train-mlogloss:0.007298+0.000091 test-mlogloss:0.938520+0.038451
## [346] train-mlogloss:0.007283+0.000090 test-mlogloss:0.938971+0.038736
## [347] train-mlogloss:0.007267+0.000088 test-mlogloss:0.939293+0.038780
## [348] train-mlogloss:0.007254+0.000087 test-mlogloss:0.939723+0.038724
## [349] train-mlogloss:0.007239+0.000085 test-mlogloss:0.940171+0.038820
## [350] train-mlogloss:0.007223+0.000087 test-mlogloss:0.940687+0.038780
## [351] train-mlogloss:0.007206+0.000086 test-mlogloss:0.940871+0.038592
## [352] train-mlogloss:0.007192+0.000086 test-mlogloss:0.941209+0.038643
## [353] train-mlogloss:0.007177+0.000088 test-mlogloss:0.941725+0.038682
## [354] train-mlogloss:0.007160+0.000089 test-mlogloss:0.941850+0.038723
## [355] train-mlogloss:0.007145+0.000088 test-mlogloss:0.941691+0.038758
## [356] train-mlogloss:0.007132+0.000087 test-mlogloss:0.942044+0.038702
## [357] train-mlogloss:0.007116+0.000089 test-mlogloss:0.942438+0.038925
## [358] train-mlogloss:0.007103+0.000089 test-mlogloss:0.943001+0.038938
## [359] train-mlogloss:0.007089+0.000088 test-mlogloss:0.943171+0.039030
## [360] train-mlogloss:0.007076+0.000087 test-mlogloss:0.943500+0.038923
## [361] train-mlogloss:0.007062+0.000088 test-mlogloss:0.943883+0.039203
## [362] train-mlogloss:0.007046+0.000088 test-mlogloss:0.944224+0.038994
## [363] train-mlogloss:0.007031+0.000086 test-mlogloss:0.944610+0.039272
## [364] train-mlogloss:0.007018+0.000086 test-mlogloss:0.945076+0.039399
## [365] train-mlogloss:0.007004+0.000086 test-mlogloss:0.945104+0.039373
## [366] train-mlogloss:0.006989+0.000085 test-mlogloss:0.945467+0.039474
## [367] train-mlogloss:0.006976+0.000084 test-mlogloss:0.945710+0.039372
## [368] train-mlogloss:0.006963+0.000085 test-mlogloss:0.945950+0.039432
## [369] train-mlogloss:0.006949+0.000086 test-mlogloss:0.946076+0.039494
## [370] train-mlogloss:0.006935+0.000085 test-mlogloss:0.946298+0.039637
## [371] train-mlogloss:0.006922+0.000084 test-mlogloss:0.946370+0.039576
## [372] train-mlogloss:0.006908+0.000084 test-mlogloss:0.946732+0.039581
## [373] train-mlogloss:0.006894+0.000083 test-mlogloss:0.946955+0.039408
## [374] train-mlogloss:0.006881+0.000083 test-mlogloss:0.946953+0.039476
## [375] train-mlogloss:0.006870+0.000083 test-mlogloss:0.947161+0.039359
## [376] train-mlogloss:0.006855+0.000082 test-mlogloss:0.947603+0.039497
## [377] train-mlogloss:0.006842+0.000082 test-mlogloss:0.947871+0.039601
## [378] train-mlogloss:0.006828+0.000082 test-mlogloss:0.948105+0.039594
## [379] train-mlogloss:0.006815+0.000082 test-mlogloss:0.948627+0.039532
## [380] train-mlogloss:0.006803+0.000081 test-mlogloss:0.948884+0.039574
## [381] train-mlogloss:0.006789+0.000081 test-mlogloss:0.948960+0.039691
## [382] train-mlogloss:0.006776+0.000079 test-mlogloss:0.949103+0.039579
## [383] train-mlogloss:0.006763+0.000079 test-mlogloss:0.949203+0.039552
## [384] train-mlogloss:0.006751+0.000078 test-mlogloss:0.949632+0.039508
## [385] train-mlogloss:0.006737+0.000079 test-mlogloss:0.949895+0.039583
## [386] train-mlogloss:0.006724+0.000079 test-mlogloss:0.950342+0.039562
## [387] train-mlogloss:0.006712+0.000077 test-mlogloss:0.950786+0.039494
## [388] train-mlogloss:0.006700+0.000076 test-mlogloss:0.951058+0.039576
## [389] train-mlogloss:0.006687+0.000077 test-mlogloss:0.951406+0.039794
## [390] train-mlogloss:0.006675+0.000078 test-mlogloss:0.951955+0.039886
## [391] train-mlogloss:0.006664+0.000079 test-mlogloss:0.952307+0.040022
## [392] train-mlogloss:0.006651+0.000079 test-mlogloss:0.952604+0.040076
## [393] train-mlogloss:0.006638+0.000079 test-mlogloss:0.952829+0.040215
## [394] train-mlogloss:0.006627+0.000079 test-mlogloss:0.952864+0.040128
## [395] train-mlogloss:0.006616+0.000079 test-mlogloss:0.953233+0.039943
## [396] train-mlogloss:0.006604+0.000078 test-mlogloss:0.953756+0.040049
## [397] train-mlogloss:0.006592+0.000078 test-mlogloss:0.954231+0.040104
## [398] train-mlogloss:0.006581+0.000078 test-mlogloss:0.954379+0.039925
## [399] train-mlogloss:0.006571+0.000077 test-mlogloss:0.954727+0.040006
## [400] train-mlogloss:0.006559+0.000077 test-mlogloss:0.954935+0.040188
## [401] train-mlogloss:0.006547+0.000075 test-mlogloss:0.955108+0.040092
## [402] train-mlogloss:0.006536+0.000076 test-mlogloss:0.955340+0.040179
## [403] train-mlogloss:0.006524+0.000076 test-mlogloss:0.955574+0.039919
## [404] train-mlogloss:0.006513+0.000075 test-mlogloss:0.955950+0.040060
## [405] train-mlogloss:0.006502+0.000075 test-mlogloss:0.956400+0.040235
## [406] train-mlogloss:0.006491+0.000075 test-mlogloss:0.956465+0.040277
## [407] train-mlogloss:0.006481+0.000074 test-mlogloss:0.956777+0.040359
## [408] train-mlogloss:0.006471+0.000074 test-mlogloss:0.956700+0.040294
## [409] train-mlogloss:0.006459+0.000075 test-mlogloss:0.956821+0.040441
## [410] train-mlogloss:0.006448+0.000076 test-mlogloss:0.957211+0.040311
## [411] train-mlogloss:0.006437+0.000075 test-mlogloss:0.957320+0.040190
## [412] train-mlogloss:0.006427+0.000076 test-mlogloss:0.957654+0.040153
## [413] train-mlogloss:0.006417+0.000075 test-mlogloss:0.957849+0.040311
## [414] train-mlogloss:0.006406+0.000076 test-mlogloss:0.958256+0.040286
## [415] train-mlogloss:0.006394+0.000074 test-mlogloss:0.958563+0.040748
## [416] train-mlogloss:0.006384+0.000075 test-mlogloss:0.958868+0.040878
## [417] train-mlogloss:0.006373+0.000076 test-mlogloss:0.959218+0.041157
## [418] train-mlogloss:0.006363+0.000076 test-mlogloss:0.959319+0.041449
## [419] train-mlogloss:0.006354+0.000076 test-mlogloss:0.959664+0.041304
## [420] train-mlogloss:0.006344+0.000075 test-mlogloss:0.960174+0.041280
## [421] train-mlogloss:0.006333+0.000076 test-mlogloss:0.960125+0.041355
## [422] train-mlogloss:0.006324+0.000076 test-mlogloss:0.960477+0.041635
## [423] train-mlogloss:0.006313+0.000075 test-mlogloss:0.960651+0.041556
## [424] train-mlogloss:0.006302+0.000074 test-mlogloss:0.960955+0.041429
## [425] train-mlogloss:0.006291+0.000073 test-mlogloss:0.961357+0.041286
## [426] train-mlogloss:0.006282+0.000073 test-mlogloss:0.961563+0.041236
## [427] train-mlogloss:0.006271+0.000073 test-mlogloss:0.961875+0.041350
## [428] train-mlogloss:0.006261+0.000072 test-mlogloss:0.962150+0.041232
## [429] train-mlogloss:0.006250+0.000071 test-mlogloss:0.962541+0.041143
## [430] train-mlogloss:0.006241+0.000072 test-mlogloss:0.962559+0.041038
## [431] train-mlogloss:0.006230+0.000071 test-mlogloss:0.962742+0.041386
## [432] train-mlogloss:0.006222+0.000071 test-mlogloss:0.962997+0.041475
## [433] train-mlogloss:0.006212+0.000072 test-mlogloss:0.963258+0.041377
## [434] train-mlogloss:0.006204+0.000071 test-mlogloss:0.963716+0.041459
## [435] train-mlogloss:0.006194+0.000072 test-mlogloss:0.964105+0.041496
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## [437] train-mlogloss:0.006176+0.000072 test-mlogloss:0.964476+0.041580
## [438] train-mlogloss:0.006167+0.000071 test-mlogloss:0.964668+0.041645
## [439] train-mlogloss:0.006157+0.000072 test-mlogloss:0.964799+0.041638
## [440] train-mlogloss:0.006148+0.000072 test-mlogloss:0.964853+0.041645
## [441] train-mlogloss:0.006138+0.000072 test-mlogloss:0.965274+0.041530
## [442] train-mlogloss:0.006128+0.000070 test-mlogloss:0.965495+0.041521
## [443] train-mlogloss:0.006119+0.000070 test-mlogloss:0.965794+0.041398
## [444] train-mlogloss:0.006109+0.000069 test-mlogloss:0.966364+0.041401
## [445] train-mlogloss:0.006100+0.000069 test-mlogloss:0.966619+0.041561
## [446] train-mlogloss:0.006091+0.000069 test-mlogloss:0.966894+0.041552
## [447] train-mlogloss:0.006081+0.000069 test-mlogloss:0.967105+0.041357
## [448] train-mlogloss:0.006072+0.000069 test-mlogloss:0.967276+0.041550
## [449] train-mlogloss:0.006064+0.000069 test-mlogloss:0.967331+0.041745
## [450] train-mlogloss:0.006055+0.000070 test-mlogloss:0.967574+0.041639
## [451] train-mlogloss:0.006045+0.000071 test-mlogloss:0.967854+0.041757
## [452] train-mlogloss:0.006035+0.000070 test-mlogloss:0.967969+0.041737
## [453] train-mlogloss:0.006026+0.000070 test-mlogloss:0.968451+0.041615
## [454] train-mlogloss:0.006016+0.000071 test-mlogloss:0.968621+0.041398
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## [456] train-mlogloss:0.005997+0.000069 test-mlogloss:0.969255+0.041547
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## [458] train-mlogloss:0.005978+0.000069 test-mlogloss:0.969963+0.041609
## [459] train-mlogloss:0.005970+0.000069 test-mlogloss:0.969988+0.041548
## [460] train-mlogloss:0.005961+0.000068 test-mlogloss:0.970007+0.041530
## [461] train-mlogloss:0.005953+0.000067 test-mlogloss:0.970266+0.041448
## [462] train-mlogloss:0.005945+0.000066 test-mlogloss:0.970477+0.041541
## [463] train-mlogloss:0.005936+0.000065 test-mlogloss:0.970588+0.041681
## [464] train-mlogloss:0.005928+0.000065 test-mlogloss:0.970984+0.041949
## [465] train-mlogloss:0.005920+0.000065 test-mlogloss:0.971259+0.042019
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## [467] train-mlogloss:0.005903+0.000066 test-mlogloss:0.971823+0.042074
## [468] train-mlogloss:0.005895+0.000066 test-mlogloss:0.971904+0.041890
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## [470] train-mlogloss:0.005878+0.000066 test-mlogloss:0.972192+0.042020
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## [472] train-mlogloss:0.005863+0.000066 test-mlogloss:0.972831+0.042088
## [473] train-mlogloss:0.005854+0.000066 test-mlogloss:0.973103+0.042119
## [474] train-mlogloss:0.005846+0.000065 test-mlogloss:0.973417+0.042270
## [475] train-mlogloss:0.005837+0.000065 test-mlogloss:0.973758+0.042251
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## [477] train-mlogloss:0.005820+0.000066 test-mlogloss:0.974404+0.042161
## [478] train-mlogloss:0.005812+0.000066 test-mlogloss:0.974404+0.042238
## [479] train-mlogloss:0.005804+0.000066 test-mlogloss:0.974633+0.042225
## [480] train-mlogloss:0.005796+0.000065 test-mlogloss:0.974850+0.042406
## [481] train-mlogloss:0.005787+0.000066 test-mlogloss:0.974905+0.042461
## [482] train-mlogloss:0.005780+0.000067 test-mlogloss:0.975179+0.042522
## [483] train-mlogloss:0.005771+0.000066 test-mlogloss:0.975541+0.042311
## [484] train-mlogloss:0.005763+0.000066 test-mlogloss:0.975650+0.042199
## [485] train-mlogloss:0.005756+0.000068 test-mlogloss:0.975746+0.041961
## [486] train-mlogloss:0.005750+0.000067 test-mlogloss:0.976150+0.042190
## [487] train-mlogloss:0.005741+0.000067 test-mlogloss:0.976361+0.042077
## [488] train-mlogloss:0.005732+0.000068 test-mlogloss:0.976824+0.042095
## [489] train-mlogloss:0.005724+0.000067 test-mlogloss:0.976976+0.041929
## [490] train-mlogloss:0.005716+0.000067 test-mlogloss:0.977207+0.042171
## [491] train-mlogloss:0.005708+0.000067 test-mlogloss:0.977419+0.042158
## [492] train-mlogloss:0.005701+0.000067 test-mlogloss:0.977694+0.042311
## [493] train-mlogloss:0.005693+0.000066 test-mlogloss:0.977817+0.042274
## [494] train-mlogloss:0.005686+0.000067 test-mlogloss:0.978062+0.042182
## [495] train-mlogloss:0.005677+0.000066 test-mlogloss:0.978282+0.042212
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## [497] train-mlogloss:0.005663+0.000067 test-mlogloss:0.978601+0.042194
## [498] train-mlogloss:0.005656+0.000066 test-mlogloss:0.978828+0.042347
## [499] train-mlogloss:0.005648+0.000067 test-mlogloss:0.979061+0.042492
## [500] train-mlogloss:0.005641+0.000066 test-mlogloss:0.979021+0.042365
## [1] train-mlogloss:0.538050+0.000783 test-mlogloss:0.554880+0.002951
## [2] train-mlogloss:0.508014+0.001171 test-mlogloss:0.541743+0.002829
## [3] train-mlogloss:0.495509+0.002062 test-mlogloss:0.542172+0.005339
## [4] train-mlogloss:0.487370+0.001586 test-mlogloss:0.545093+0.007085
## [5] train-mlogloss:0.480652+0.002473 test-mlogloss:0.548928+0.009664
## [6] train-mlogloss:0.474707+0.003224 test-mlogloss:0.552824+0.010185
## [7] train-mlogloss:0.468356+0.003876 test-mlogloss:0.556058+0.011969
## [8] train-mlogloss:0.459981+0.005704 test-mlogloss:0.563977+0.013841
## [9] train-mlogloss:0.456416+0.005210 test-mlogloss:0.565634+0.012636
## [10] train-mlogloss:0.450950+0.004213 test-mlogloss:0.568472+0.012079
## [11] train-mlogloss:0.447012+0.005428 test-mlogloss:0.570510+0.011801
## [12] train-mlogloss:0.441769+0.005993 test-mlogloss:0.573022+0.012808
## [13] train-mlogloss:0.436279+0.006477 test-mlogloss:0.577238+0.016157
## [14] train-mlogloss:0.430172+0.007368 test-mlogloss:0.580248+0.017372
## [15] train-mlogloss:0.422163+0.008146 test-mlogloss:0.585088+0.017622
## [16] train-mlogloss:0.417484+0.008427 test-mlogloss:0.588098+0.016217
## [17] train-mlogloss:0.411232+0.008239 test-mlogloss:0.590659+0.014973
## [18] train-mlogloss:0.407158+0.009458 test-mlogloss:0.593360+0.015172
## [19] train-mlogloss:0.401593+0.009783 test-mlogloss:0.596219+0.013586
## [20] train-mlogloss:0.396138+0.008520 test-mlogloss:0.601528+0.013720
## [21] train-mlogloss:0.390570+0.010208 test-mlogloss:0.605130+0.016153
## [22] train-mlogloss:0.385464+0.010017 test-mlogloss:0.607934+0.016000
## [23] train-mlogloss:0.379650+0.011242 test-mlogloss:0.613125+0.016556
## [24] train-mlogloss:0.374239+0.011620 test-mlogloss:0.614558+0.015055
## [25] train-mlogloss:0.367531+0.010781 test-mlogloss:0.620130+0.015781
## [26] train-mlogloss:0.363160+0.010132 test-mlogloss:0.622561+0.014875
## [27] train-mlogloss:0.357980+0.009754 test-mlogloss:0.625848+0.013978
## [28] train-mlogloss:0.354112+0.008750 test-mlogloss:0.627287+0.014606
## [29] train-mlogloss:0.350414+0.007924 test-mlogloss:0.629043+0.014317
## [30] train-mlogloss:0.344339+0.007575 test-mlogloss:0.631703+0.014878
## [31] train-mlogloss:0.339621+0.007932 test-mlogloss:0.634177+0.014901
## [32] train-mlogloss:0.335434+0.007519 test-mlogloss:0.637527+0.014865
## [33] train-mlogloss:0.331594+0.009801 test-mlogloss:0.640896+0.017194
## [34] train-mlogloss:0.325822+0.010055 test-mlogloss:0.643903+0.017510
## [35] train-mlogloss:0.321350+0.010105 test-mlogloss:0.646154+0.017768
## [36] train-mlogloss:0.315682+0.008399 test-mlogloss:0.648227+0.017079
## [37] train-mlogloss:0.312552+0.008269 test-mlogloss:0.649349+0.016147
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## [44] train-mlogloss:0.287198+0.008649 test-mlogloss:0.671262+0.017884
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## [48] train-mlogloss:0.270943+0.008451 test-mlogloss:0.679664+0.014264
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## [73] train-mlogloss:0.193955+0.006313 test-mlogloss:0.736437+0.021635
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## [86] train-mlogloss:0.166682+0.005951 test-mlogloss:0.760265+0.019020
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## [250] train-mlogloss:0.030597+0.001377 test-mlogloss:0.996721+0.029523
## [251] train-mlogloss:0.030372+0.001336 test-mlogloss:0.997293+0.029724
## [252] train-mlogloss:0.030082+0.001220 test-mlogloss:0.997320+0.029980
## [253] train-mlogloss:0.029861+0.001215 test-mlogloss:0.997623+0.028884
## [254] train-mlogloss:0.029659+0.001278 test-mlogloss:0.998219+0.029764
## [255] train-mlogloss:0.029456+0.001285 test-mlogloss:1.000012+0.029749
## [256] train-mlogloss:0.029239+0.001293 test-mlogloss:1.001275+0.030491
## [257] train-mlogloss:0.029071+0.001367 test-mlogloss:1.001535+0.030756
## [258] train-mlogloss:0.028918+0.001365 test-mlogloss:1.002583+0.031708
## [259] train-mlogloss:0.028677+0.001333 test-mlogloss:1.003612+0.032086
## [260] train-mlogloss:0.028453+0.001220 test-mlogloss:1.004805+0.031825
## [261] train-mlogloss:0.028255+0.001225 test-mlogloss:1.005673+0.031287
## [262] train-mlogloss:0.028145+0.001172 test-mlogloss:1.006191+0.031445
## [263] train-mlogloss:0.027974+0.001162 test-mlogloss:1.006950+0.031250
## [264] train-mlogloss:0.027794+0.001236 test-mlogloss:1.006641+0.030817
## [265] train-mlogloss:0.027568+0.001238 test-mlogloss:1.007510+0.030245
## [266] train-mlogloss:0.027360+0.001311 test-mlogloss:1.008910+0.030538
## [267] train-mlogloss:0.027116+0.001292 test-mlogloss:1.011305+0.029289
## [268] train-mlogloss:0.026922+0.001283 test-mlogloss:1.011171+0.029853
## [269] train-mlogloss:0.026743+0.001281 test-mlogloss:1.012202+0.029546
## [270] train-mlogloss:0.026596+0.001275 test-mlogloss:1.012920+0.030078
## [271] train-mlogloss:0.026458+0.001253 test-mlogloss:1.013023+0.030741
## [272] train-mlogloss:0.026268+0.001247 test-mlogloss:1.013157+0.030970
## [273] train-mlogloss:0.026088+0.001216 test-mlogloss:1.014111+0.030531
## [274] train-mlogloss:0.025898+0.001189 test-mlogloss:1.014505+0.030319
## [275] train-mlogloss:0.025709+0.001185 test-mlogloss:1.015319+0.030148
## [276] train-mlogloss:0.025546+0.001139 test-mlogloss:1.016134+0.030220
## [277] train-mlogloss:0.025424+0.001188 test-mlogloss:1.016824+0.029826
## [278] train-mlogloss:0.025263+0.001215 test-mlogloss:1.018003+0.030110
## [279] train-mlogloss:0.025128+0.001193 test-mlogloss:1.018770+0.030046
## [280] train-mlogloss:0.025003+0.001224 test-mlogloss:1.018867+0.030019
## [281] train-mlogloss:0.024817+0.001197 test-mlogloss:1.019583+0.030425
## [282] train-mlogloss:0.024614+0.001226 test-mlogloss:1.021229+0.030641
## [283] train-mlogloss:0.024386+0.001237 test-mlogloss:1.022269+0.030299
## [284] train-mlogloss:0.024181+0.001233 test-mlogloss:1.023029+0.030769
## [285] train-mlogloss:0.024003+0.001195 test-mlogloss:1.024226+0.031068
## [286] train-mlogloss:0.023839+0.001168 test-mlogloss:1.024169+0.030585
## [287] train-mlogloss:0.023706+0.001171 test-mlogloss:1.025738+0.030508
## [288] train-mlogloss:0.023551+0.001116 test-mlogloss:1.026218+0.030247
## [289] train-mlogloss:0.023410+0.001065 test-mlogloss:1.026862+0.030338
## [290] train-mlogloss:0.023225+0.001068 test-mlogloss:1.026455+0.031133
## [291] train-mlogloss:0.023035+0.001079 test-mlogloss:1.028184+0.031259
## [292] train-mlogloss:0.022921+0.001108 test-mlogloss:1.028983+0.030781
## [293] train-mlogloss:0.022805+0.001120 test-mlogloss:1.029480+0.030909
## [294] train-mlogloss:0.022668+0.001098 test-mlogloss:1.030272+0.030549
## [295] train-mlogloss:0.022517+0.001077 test-mlogloss:1.031199+0.030352
## [296] train-mlogloss:0.022398+0.001074 test-mlogloss:1.032534+0.030093
## [297] train-mlogloss:0.022263+0.001056 test-mlogloss:1.033793+0.030973
## [298] train-mlogloss:0.022110+0.001004 test-mlogloss:1.034854+0.030653
## [299] train-mlogloss:0.021995+0.001014 test-mlogloss:1.035524+0.030540
## [300] train-mlogloss:0.021877+0.000978 test-mlogloss:1.036020+0.031309
## [301] train-mlogloss:0.021772+0.000988 test-mlogloss:1.036890+0.032054
## [302] train-mlogloss:0.021617+0.000955 test-mlogloss:1.037083+0.031897
## [303] train-mlogloss:0.021458+0.000919 test-mlogloss:1.037144+0.032299
## [304] train-mlogloss:0.021344+0.000916 test-mlogloss:1.038254+0.031098
## [305] train-mlogloss:0.021212+0.000896 test-mlogloss:1.038771+0.030732
## [306] train-mlogloss:0.021063+0.000925 test-mlogloss:1.038977+0.030897
## [307] train-mlogloss:0.020931+0.000944 test-mlogloss:1.040878+0.030470
## [308] train-mlogloss:0.020805+0.000964 test-mlogloss:1.041482+0.030491
## [309] train-mlogloss:0.020670+0.000947 test-mlogloss:1.042055+0.030463
## [310] train-mlogloss:0.020531+0.000940 test-mlogloss:1.043253+0.030974
## [311] train-mlogloss:0.020410+0.000963 test-mlogloss:1.044128+0.031052
## [312] train-mlogloss:0.020325+0.000963 test-mlogloss:1.045166+0.031510
## [313] train-mlogloss:0.020234+0.000976 test-mlogloss:1.045035+0.032083
## [314] train-mlogloss:0.020136+0.000961 test-mlogloss:1.045687+0.031905
## [315] train-mlogloss:0.020027+0.000937 test-mlogloss:1.046263+0.031362
## [316] train-mlogloss:0.019923+0.000961 test-mlogloss:1.047233+0.031766
## [317] train-mlogloss:0.019830+0.000991 test-mlogloss:1.047773+0.032011
## [318] train-mlogloss:0.019744+0.001021 test-mlogloss:1.048697+0.032507
## [319] train-mlogloss:0.019601+0.000985 test-mlogloss:1.049211+0.032238
## [320] train-mlogloss:0.019516+0.000977 test-mlogloss:1.049512+0.031782
## [321] train-mlogloss:0.019392+0.000953 test-mlogloss:1.050170+0.031290
## [322] train-mlogloss:0.019245+0.000961 test-mlogloss:1.052133+0.031952
## [323] train-mlogloss:0.019133+0.000987 test-mlogloss:1.053017+0.031914
## [324] train-mlogloss:0.019042+0.000997 test-mlogloss:1.054309+0.032191
## [325] train-mlogloss:0.018956+0.001023 test-mlogloss:1.054766+0.032335
## [326] train-mlogloss:0.018868+0.001056 test-mlogloss:1.055766+0.032494
## [327] train-mlogloss:0.018767+0.001063 test-mlogloss:1.057098+0.032387
## [328] train-mlogloss:0.018601+0.001068 test-mlogloss:1.058298+0.032603
## [329] train-mlogloss:0.018449+0.001068 test-mlogloss:1.059335+0.033153
## [330] train-mlogloss:0.018341+0.001020 test-mlogloss:1.059552+0.033111
## [331] train-mlogloss:0.018242+0.001012 test-mlogloss:1.061397+0.033182
## [332] train-mlogloss:0.018116+0.000958 test-mlogloss:1.062945+0.032078
## [333] train-mlogloss:0.017994+0.000943 test-mlogloss:1.063705+0.032431
## [334] train-mlogloss:0.017887+0.000931 test-mlogloss:1.064646+0.032422
## [335] train-mlogloss:0.017822+0.000915 test-mlogloss:1.064895+0.032824
## [336] train-mlogloss:0.017752+0.000913 test-mlogloss:1.065433+0.032633
## [337] train-mlogloss:0.017663+0.000915 test-mlogloss:1.066639+0.033169
## [338] train-mlogloss:0.017619+0.000924 test-mlogloss:1.066515+0.032477
## [339] train-mlogloss:0.017540+0.000907 test-mlogloss:1.067250+0.031724
## [340] train-mlogloss:0.017448+0.000881 test-mlogloss:1.067313+0.031863
## [341] train-mlogloss:0.017353+0.000886 test-mlogloss:1.068089+0.031118
## [342] train-mlogloss:0.017262+0.000902 test-mlogloss:1.068675+0.031431
## [343] train-mlogloss:0.017179+0.000899 test-mlogloss:1.069917+0.031740
## [344] train-mlogloss:0.017063+0.000882 test-mlogloss:1.071301+0.032220
## [345] train-mlogloss:0.016963+0.000894 test-mlogloss:1.071547+0.031615
## [346] train-mlogloss:0.016876+0.000899 test-mlogloss:1.072174+0.031757
## [347] train-mlogloss:0.016792+0.000893 test-mlogloss:1.073320+0.031780
## [348] train-mlogloss:0.016718+0.000888 test-mlogloss:1.074487+0.032325
## [349] train-mlogloss:0.016629+0.000932 test-mlogloss:1.075670+0.033297
## [350] train-mlogloss:0.016557+0.000916 test-mlogloss:1.076326+0.031575
## [351] train-mlogloss:0.016480+0.000891 test-mlogloss:1.077284+0.031783
## [352] train-mlogloss:0.016393+0.000871 test-mlogloss:1.078393+0.031029
## [353] train-mlogloss:0.016338+0.000848 test-mlogloss:1.078326+0.030808
## [354] train-mlogloss:0.016283+0.000837 test-mlogloss:1.078807+0.030271
## [355] train-mlogloss:0.016214+0.000805 test-mlogloss:1.079418+0.029918
## [356] train-mlogloss:0.016151+0.000779 test-mlogloss:1.080460+0.030006
## [357] train-mlogloss:0.016054+0.000783 test-mlogloss:1.081715+0.029355
## [358] train-mlogloss:0.015973+0.000773 test-mlogloss:1.081994+0.028779
## [359] train-mlogloss:0.015896+0.000772 test-mlogloss:1.082237+0.028039
## [360] train-mlogloss:0.015844+0.000783 test-mlogloss:1.082466+0.028811
## [361] train-mlogloss:0.015788+0.000774 test-mlogloss:1.082976+0.028237
## [362] train-mlogloss:0.015740+0.000768 test-mlogloss:1.083435+0.028427
## [363] train-mlogloss:0.015683+0.000769 test-mlogloss:1.084114+0.027962
## [364] train-mlogloss:0.015587+0.000743 test-mlogloss:1.085136+0.028504
## [365] train-mlogloss:0.015505+0.000748 test-mlogloss:1.086325+0.028749
## [366] train-mlogloss:0.015405+0.000735 test-mlogloss:1.087016+0.028177
## [367] train-mlogloss:0.015326+0.000733 test-mlogloss:1.087991+0.028659
## [368] train-mlogloss:0.015251+0.000716 test-mlogloss:1.088472+0.028762
## [369] train-mlogloss:0.015178+0.000724 test-mlogloss:1.089173+0.028108
## [370] train-mlogloss:0.015107+0.000742 test-mlogloss:1.090137+0.029327
## [371] train-mlogloss:0.015042+0.000743 test-mlogloss:1.090636+0.029757
## [372] train-mlogloss:0.014965+0.000752 test-mlogloss:1.091678+0.029207
## [373] train-mlogloss:0.014879+0.000735 test-mlogloss:1.092657+0.029737
## [374] train-mlogloss:0.014815+0.000714 test-mlogloss:1.092982+0.029332
## [375] train-mlogloss:0.014775+0.000709 test-mlogloss:1.093302+0.029196
## [376] train-mlogloss:0.014705+0.000686 test-mlogloss:1.094770+0.028732
## [377] train-mlogloss:0.014655+0.000694 test-mlogloss:1.095722+0.028521
## [378] train-mlogloss:0.014577+0.000672 test-mlogloss:1.095840+0.028240
## [379] train-mlogloss:0.014493+0.000657 test-mlogloss:1.095638+0.028814
## [380] train-mlogloss:0.014446+0.000647 test-mlogloss:1.096510+0.029120
## [381] train-mlogloss:0.014378+0.000651 test-mlogloss:1.097193+0.028933
## [382] train-mlogloss:0.014306+0.000656 test-mlogloss:1.097672+0.028716
## [383] train-mlogloss:0.014240+0.000657 test-mlogloss:1.097784+0.028689
## [384] train-mlogloss:0.014173+0.000662 test-mlogloss:1.098642+0.028867
## [385] train-mlogloss:0.014109+0.000661 test-mlogloss:1.099174+0.028883
## [386] train-mlogloss:0.014058+0.000655 test-mlogloss:1.099467+0.028788
## [387] train-mlogloss:0.013973+0.000633 test-mlogloss:1.100583+0.028934
## [388] train-mlogloss:0.013915+0.000633 test-mlogloss:1.101331+0.028336
## [389] train-mlogloss:0.013860+0.000627 test-mlogloss:1.102356+0.027497
## [390] train-mlogloss:0.013826+0.000618 test-mlogloss:1.102447+0.027120
## [391] train-mlogloss:0.013791+0.000616 test-mlogloss:1.103026+0.026825
## [392] train-mlogloss:0.013723+0.000607 test-mlogloss:1.103622+0.026279
## [393] train-mlogloss:0.013656+0.000573 test-mlogloss:1.104424+0.026733
## [394] train-mlogloss:0.013596+0.000563 test-mlogloss:1.104633+0.026757
## [395] train-mlogloss:0.013549+0.000554 test-mlogloss:1.105746+0.026343
## [396] train-mlogloss:0.013489+0.000557 test-mlogloss:1.106786+0.026636
## [397] train-mlogloss:0.013418+0.000526 test-mlogloss:1.107451+0.026906
## [398] train-mlogloss:0.013351+0.000518 test-mlogloss:1.107710+0.025813
## [399] train-mlogloss:0.013306+0.000510 test-mlogloss:1.107914+0.025303
## [400] train-mlogloss:0.013254+0.000496 test-mlogloss:1.109064+0.025372
## [401] train-mlogloss:0.013209+0.000487 test-mlogloss:1.110004+0.025190
## [402] train-mlogloss:0.013138+0.000474 test-mlogloss:1.110755+0.025460
## [403] train-mlogloss:0.013081+0.000453 test-mlogloss:1.111594+0.025348
## [404] train-mlogloss:0.013017+0.000437 test-mlogloss:1.111809+0.025090
## [405] train-mlogloss:0.012970+0.000442 test-mlogloss:1.112089+0.025453
## [406] train-mlogloss:0.012915+0.000437 test-mlogloss:1.112625+0.025674
## [407] train-mlogloss:0.012865+0.000439 test-mlogloss:1.112338+0.026229
## [408] train-mlogloss:0.012797+0.000450 test-mlogloss:1.113737+0.026739
## [409] train-mlogloss:0.012746+0.000438 test-mlogloss:1.114719+0.026794
## [410] train-mlogloss:0.012704+0.000457 test-mlogloss:1.115047+0.026998
## [411] train-mlogloss:0.012655+0.000447 test-mlogloss:1.115710+0.027168
## [412] train-mlogloss:0.012584+0.000450 test-mlogloss:1.117144+0.026346
## [413] train-mlogloss:0.012521+0.000467 test-mlogloss:1.118161+0.026561
## [414] train-mlogloss:0.012477+0.000477 test-mlogloss:1.118882+0.026566
## [415] train-mlogloss:0.012419+0.000453 test-mlogloss:1.119345+0.026599
## [416] train-mlogloss:0.012357+0.000447 test-mlogloss:1.120242+0.026229
## [417] train-mlogloss:0.012305+0.000432 test-mlogloss:1.120672+0.026377
## [418] train-mlogloss:0.012258+0.000417 test-mlogloss:1.120537+0.026215
## [419] train-mlogloss:0.012222+0.000426 test-mlogloss:1.121257+0.026515
## [420] train-mlogloss:0.012161+0.000451 test-mlogloss:1.121532+0.026518
## [421] train-mlogloss:0.012100+0.000443 test-mlogloss:1.121453+0.026504
## [422] train-mlogloss:0.012046+0.000441 test-mlogloss:1.122180+0.027231
## [423] train-mlogloss:0.011960+0.000449 test-mlogloss:1.123159+0.027717
## [424] train-mlogloss:0.011913+0.000440 test-mlogloss:1.123895+0.027997
## [425] train-mlogloss:0.011864+0.000433 test-mlogloss:1.124748+0.027580
## [426] train-mlogloss:0.011819+0.000442 test-mlogloss:1.125021+0.027447
## [427] train-mlogloss:0.011775+0.000430 test-mlogloss:1.126112+0.027418
## [428] train-mlogloss:0.011712+0.000426 test-mlogloss:1.126513+0.027478
## [429] train-mlogloss:0.011666+0.000427 test-mlogloss:1.127403+0.027228
## [430] train-mlogloss:0.011633+0.000422 test-mlogloss:1.128337+0.027272
## [431] train-mlogloss:0.011599+0.000419 test-mlogloss:1.128821+0.027245
## [432] train-mlogloss:0.011557+0.000423 test-mlogloss:1.129051+0.027231
## [433] train-mlogloss:0.011524+0.000420 test-mlogloss:1.129488+0.027586
## [434] train-mlogloss:0.011482+0.000418 test-mlogloss:1.129921+0.027247
## [435] train-mlogloss:0.011430+0.000406 test-mlogloss:1.131669+0.027233
## [436] train-mlogloss:0.011386+0.000410 test-mlogloss:1.132551+0.027290
## [437] train-mlogloss:0.011321+0.000415 test-mlogloss:1.133660+0.027613
## [438] train-mlogloss:0.011274+0.000424 test-mlogloss:1.134437+0.027618
## [439] train-mlogloss:0.011231+0.000425 test-mlogloss:1.135692+0.027592
## [440] train-mlogloss:0.011194+0.000425 test-mlogloss:1.136303+0.027455
## [441] train-mlogloss:0.011151+0.000425 test-mlogloss:1.136634+0.027185
## [442] train-mlogloss:0.011106+0.000419 test-mlogloss:1.136545+0.027580
## [443] train-mlogloss:0.011065+0.000412 test-mlogloss:1.137425+0.027919
## [444] train-mlogloss:0.011026+0.000430 test-mlogloss:1.137898+0.028203
## [445] train-mlogloss:0.010982+0.000431 test-mlogloss:1.139403+0.027934
## [446] train-mlogloss:0.010930+0.000429 test-mlogloss:1.140279+0.027333
## [447] train-mlogloss:0.010886+0.000411 test-mlogloss:1.141292+0.026745
## [448] train-mlogloss:0.010844+0.000408 test-mlogloss:1.142138+0.026610
## [449] train-mlogloss:0.010813+0.000416 test-mlogloss:1.142251+0.026650
## [450] train-mlogloss:0.010779+0.000411 test-mlogloss:1.142627+0.026779
## [451] train-mlogloss:0.010734+0.000410 test-mlogloss:1.143317+0.026981
## [452] train-mlogloss:0.010696+0.000410 test-mlogloss:1.143743+0.027337
## [453] train-mlogloss:0.010663+0.000393 test-mlogloss:1.144291+0.027113
## [454] train-mlogloss:0.010622+0.000409 test-mlogloss:1.144709+0.027049
## [455] train-mlogloss:0.010591+0.000394 test-mlogloss:1.145758+0.026283
## [456] train-mlogloss:0.010555+0.000378 test-mlogloss:1.146109+0.026403
## [457] train-mlogloss:0.010525+0.000371 test-mlogloss:1.146637+0.026731
## [458] train-mlogloss:0.010492+0.000362 test-mlogloss:1.147159+0.026323
## [459] train-mlogloss:0.010444+0.000360 test-mlogloss:1.147733+0.026828
## [460] train-mlogloss:0.010401+0.000364 test-mlogloss:1.148889+0.027052
## [461] train-mlogloss:0.010355+0.000348 test-mlogloss:1.148924+0.027382
## [462] train-mlogloss:0.010303+0.000338 test-mlogloss:1.149518+0.027562
## [463] train-mlogloss:0.010258+0.000352 test-mlogloss:1.150378+0.027547
## [464] train-mlogloss:0.010206+0.000355 test-mlogloss:1.151029+0.026840
## [465] train-mlogloss:0.010158+0.000354 test-mlogloss:1.152233+0.026854
## [466] train-mlogloss:0.010116+0.000351 test-mlogloss:1.152894+0.027298
## [467] train-mlogloss:0.010082+0.000352 test-mlogloss:1.153945+0.026983
## [468] train-mlogloss:0.010045+0.000341 test-mlogloss:1.153964+0.026432
## [469] train-mlogloss:0.010019+0.000337 test-mlogloss:1.154327+0.026070
## [470] train-mlogloss:0.009983+0.000345 test-mlogloss:1.155625+0.026418
## [471] train-mlogloss:0.009948+0.000349 test-mlogloss:1.155846+0.027028
## [472] train-mlogloss:0.009922+0.000348 test-mlogloss:1.156110+0.026676
## [473] train-mlogloss:0.009885+0.000351 test-mlogloss:1.155739+0.027563
## [474] train-mlogloss:0.009852+0.000346 test-mlogloss:1.156210+0.028301
## [475] train-mlogloss:0.009818+0.000345 test-mlogloss:1.156152+0.028499
## [476] train-mlogloss:0.009789+0.000344 test-mlogloss:1.155905+0.028688
## [477] train-mlogloss:0.009757+0.000346 test-mlogloss:1.157009+0.028199
## [478] train-mlogloss:0.009724+0.000339 test-mlogloss:1.157170+0.028668
## [479] train-mlogloss:0.009699+0.000334 test-mlogloss:1.157196+0.028849
## [480] train-mlogloss:0.009671+0.000329 test-mlogloss:1.157541+0.029043
## [481] train-mlogloss:0.009652+0.000323 test-mlogloss:1.157697+0.028778
## [482] train-mlogloss:0.009617+0.000313 test-mlogloss:1.158637+0.028173
## [483] train-mlogloss:0.009575+0.000313 test-mlogloss:1.159315+0.028398
## [484] train-mlogloss:0.009542+0.000312 test-mlogloss:1.159343+0.028762
## [485] train-mlogloss:0.009504+0.000310 test-mlogloss:1.160624+0.029222
## [486] train-mlogloss:0.009472+0.000304 test-mlogloss:1.160961+0.028700
## [487] train-mlogloss:0.009440+0.000302 test-mlogloss:1.161000+0.028315
## [488] train-mlogloss:0.009415+0.000294 test-mlogloss:1.161975+0.028414
## [489] train-mlogloss:0.009385+0.000290 test-mlogloss:1.162887+0.028572
## [490] train-mlogloss:0.009354+0.000288 test-mlogloss:1.163664+0.028962
## [491] train-mlogloss:0.009327+0.000285 test-mlogloss:1.164362+0.028909
## [492] train-mlogloss:0.009292+0.000278 test-mlogloss:1.164761+0.028407
## [493] train-mlogloss:0.009252+0.000278 test-mlogloss:1.165628+0.028144
## [494] train-mlogloss:0.009222+0.000281 test-mlogloss:1.166479+0.028060
## [495] train-mlogloss:0.009196+0.000289 test-mlogloss:1.166800+0.028290
## [496] train-mlogloss:0.009171+0.000288 test-mlogloss:1.167365+0.028184
## [497] train-mlogloss:0.009144+0.000290 test-mlogloss:1.167955+0.028969
## [498] train-mlogloss:0.009126+0.000291 test-mlogloss:1.168561+0.028900
## [499] train-mlogloss:0.009106+0.000293 test-mlogloss:1.168551+0.028871
## [500] train-mlogloss:0.009074+0.000296 test-mlogloss:1.169562+0.029508
## [1] train-mlogloss:0.402007+0.004785 test-mlogloss:0.616389+0.010717
## [2] train-mlogloss:0.283258+0.004489 test-mlogloss:0.634764+0.016790
## [3] train-mlogloss:0.214245+0.003117 test-mlogloss:0.661336+0.020361
## [4] train-mlogloss:0.169110+0.003650 test-mlogloss:0.687753+0.023417
## [5] train-mlogloss:0.138859+0.004798 test-mlogloss:0.709256+0.026123
## [6] train-mlogloss:0.118278+0.004966 test-mlogloss:0.724929+0.032024
## [7] train-mlogloss:0.102738+0.004591 test-mlogloss:0.739267+0.034058
## [8] train-mlogloss:0.089309+0.004361 test-mlogloss:0.753593+0.034700
## [9] train-mlogloss:0.077987+0.003189 test-mlogloss:0.766469+0.035910
## [10] train-mlogloss:0.069860+0.002609 test-mlogloss:0.780432+0.036176
## [11] train-mlogloss:0.063778+0.001817 test-mlogloss:0.791224+0.034776
## [12] train-mlogloss:0.058066+0.001916 test-mlogloss:0.801073+0.032078
## [13] train-mlogloss:0.053286+0.001473 test-mlogloss:0.811597+0.035307
## [14] train-mlogloss:0.049688+0.002013 test-mlogloss:0.819539+0.036683
## [15] train-mlogloss:0.046008+0.001542 test-mlogloss:0.829184+0.038795
## [16] train-mlogloss:0.043254+0.001175 test-mlogloss:0.839460+0.038677
## [17] train-mlogloss:0.040541+0.000995 test-mlogloss:0.848432+0.040151
## [18] train-mlogloss:0.038830+0.001359 test-mlogloss:0.852481+0.041650
## [19] train-mlogloss:0.036672+0.001390 test-mlogloss:0.858364+0.042568
## [20] train-mlogloss:0.034663+0.001228 test-mlogloss:0.865339+0.041129
## [21] train-mlogloss:0.032846+0.001167 test-mlogloss:0.871707+0.043481
## [22] train-mlogloss:0.031196+0.001033 test-mlogloss:0.877536+0.044400
## [23] train-mlogloss:0.030047+0.001260 test-mlogloss:0.881822+0.044733
## [24] train-mlogloss:0.028654+0.001135 test-mlogloss:0.888097+0.044448
## [25] train-mlogloss:0.027512+0.001081 test-mlogloss:0.890574+0.047093
## [26] train-mlogloss:0.026361+0.000960 test-mlogloss:0.893526+0.046792
## [27] train-mlogloss:0.025299+0.000886 test-mlogloss:0.898568+0.045793
## [28] train-mlogloss:0.024339+0.000877 test-mlogloss:0.902663+0.046613
## [29] train-mlogloss:0.023471+0.000788 test-mlogloss:0.908851+0.045834
## [30] train-mlogloss:0.022721+0.000743 test-mlogloss:0.912692+0.046803
## [31] train-mlogloss:0.021961+0.000703 test-mlogloss:0.916252+0.049402
## [32] train-mlogloss:0.021315+0.000660 test-mlogloss:0.920392+0.049411
## [33] train-mlogloss:0.020647+0.000597 test-mlogloss:0.923634+0.051014
## [34] train-mlogloss:0.020056+0.000560 test-mlogloss:0.926444+0.050469
## [35] train-mlogloss:0.019509+0.000540 test-mlogloss:0.930127+0.050584
## [36] train-mlogloss:0.018961+0.000513 test-mlogloss:0.933105+0.050187
## [37] train-mlogloss:0.018464+0.000486 test-mlogloss:0.938420+0.050085
## [38] train-mlogloss:0.018060+0.000455 test-mlogloss:0.940133+0.049950
## [39] train-mlogloss:0.017639+0.000427 test-mlogloss:0.942696+0.049622
## [40] train-mlogloss:0.017204+0.000440 test-mlogloss:0.946010+0.048732
## [41] train-mlogloss:0.016838+0.000391 test-mlogloss:0.948698+0.048677
## [42] train-mlogloss:0.016474+0.000395 test-mlogloss:0.951109+0.048960
## [43] train-mlogloss:0.016112+0.000377 test-mlogloss:0.952909+0.048076
## [44] train-mlogloss:0.015774+0.000376 test-mlogloss:0.954432+0.047645
## [45] train-mlogloss:0.015456+0.000360 test-mlogloss:0.955455+0.047826
## [46] train-mlogloss:0.015145+0.000336 test-mlogloss:0.956624+0.046146
## [47] train-mlogloss:0.014855+0.000320 test-mlogloss:0.959095+0.047873
## [48] train-mlogloss:0.014559+0.000316 test-mlogloss:0.960028+0.046616
## [49] train-mlogloss:0.014295+0.000287 test-mlogloss:0.962702+0.047561
## [50] train-mlogloss:0.014039+0.000275 test-mlogloss:0.965390+0.046306
## [51] train-mlogloss:0.013799+0.000269 test-mlogloss:0.967747+0.046390
## [52] train-mlogloss:0.013574+0.000267 test-mlogloss:0.969760+0.045966
## [53] train-mlogloss:0.013340+0.000263 test-mlogloss:0.971439+0.045831
## [54] train-mlogloss:0.013146+0.000266 test-mlogloss:0.972689+0.045387
## [55] train-mlogloss:0.012948+0.000267 test-mlogloss:0.974574+0.044772
## [56] train-mlogloss:0.012752+0.000262 test-mlogloss:0.974927+0.043989
## [57] train-mlogloss:0.012560+0.000249 test-mlogloss:0.978034+0.043376
## [58] train-mlogloss:0.012385+0.000237 test-mlogloss:0.979810+0.043500
## [59] train-mlogloss:0.012211+0.000238 test-mlogloss:0.981121+0.043047
## [60] train-mlogloss:0.012042+0.000242 test-mlogloss:0.982941+0.044136
## [61] train-mlogloss:0.011879+0.000232 test-mlogloss:0.984288+0.042491
## [62] train-mlogloss:0.011720+0.000213 test-mlogloss:0.985280+0.042719
## [63] train-mlogloss:0.011573+0.000208 test-mlogloss:0.986775+0.043100
## [64] train-mlogloss:0.011429+0.000201 test-mlogloss:0.988139+0.043237
## [65] train-mlogloss:0.011293+0.000197 test-mlogloss:0.989506+0.043882
## [66] train-mlogloss:0.011147+0.000194 test-mlogloss:0.991789+0.044076
## [67] train-mlogloss:0.011008+0.000174 test-mlogloss:0.993154+0.044113
## [68] train-mlogloss:0.010871+0.000167 test-mlogloss:0.995509+0.044766
## [69] train-mlogloss:0.010744+0.000163 test-mlogloss:0.997693+0.044483
## [70] train-mlogloss:0.010621+0.000159 test-mlogloss:0.998847+0.044654
## [71] train-mlogloss:0.010497+0.000149 test-mlogloss:0.999610+0.045603
## [72] train-mlogloss:0.010374+0.000139 test-mlogloss:1.001843+0.046657
## [73] train-mlogloss:0.010262+0.000134 test-mlogloss:1.003150+0.045835
## [74] train-mlogloss:0.010149+0.000135 test-mlogloss:1.004281+0.046101
## [75] train-mlogloss:0.010044+0.000136 test-mlogloss:1.005545+0.044827
## [76] train-mlogloss:0.009942+0.000132 test-mlogloss:1.007011+0.043847
## [77] train-mlogloss:0.009836+0.000126 test-mlogloss:1.008413+0.044041
## [78] train-mlogloss:0.009741+0.000124 test-mlogloss:1.008848+0.044396
## [79] train-mlogloss:0.009637+0.000123 test-mlogloss:1.009963+0.044367
## [80] train-mlogloss:0.009542+0.000118 test-mlogloss:1.011936+0.043682
## [81] train-mlogloss:0.009455+0.000118 test-mlogloss:1.012984+0.044074
## [82] train-mlogloss:0.009366+0.000116 test-mlogloss:1.014252+0.044531
## [83] train-mlogloss:0.009280+0.000111 test-mlogloss:1.015466+0.045087
## [84] train-mlogloss:0.009191+0.000117 test-mlogloss:1.016228+0.044541
## [85] train-mlogloss:0.009106+0.000120 test-mlogloss:1.017597+0.044868
## [86] train-mlogloss:0.009022+0.000120 test-mlogloss:1.018830+0.045396
## [87] train-mlogloss:0.008943+0.000117 test-mlogloss:1.019970+0.044900
## [88] train-mlogloss:0.008866+0.000110 test-mlogloss:1.020985+0.045255
## [89] train-mlogloss:0.008790+0.000109 test-mlogloss:1.022891+0.045746
## [90] train-mlogloss:0.008711+0.000107 test-mlogloss:1.023676+0.045794
## [91] train-mlogloss:0.008644+0.000106 test-mlogloss:1.024778+0.045916
## [92] train-mlogloss:0.008577+0.000108 test-mlogloss:1.026016+0.045703
## [93] train-mlogloss:0.008511+0.000108 test-mlogloss:1.027857+0.045824
## [94] train-mlogloss:0.008447+0.000106 test-mlogloss:1.029029+0.046470
## [95] train-mlogloss:0.008381+0.000096 test-mlogloss:1.029640+0.046157
## [96] train-mlogloss:0.008313+0.000097 test-mlogloss:1.030482+0.046491
## [97] train-mlogloss:0.008241+0.000097 test-mlogloss:1.032264+0.046104
## [98] train-mlogloss:0.008180+0.000094 test-mlogloss:1.033200+0.045628
## [99] train-mlogloss:0.008111+0.000096 test-mlogloss:1.033893+0.046445
## [100] train-mlogloss:0.008053+0.000099 test-mlogloss:1.034579+0.047292
## [101] train-mlogloss:0.007993+0.000096 test-mlogloss:1.036182+0.047384
## [102] train-mlogloss:0.007936+0.000095 test-mlogloss:1.037216+0.047337
## [103] train-mlogloss:0.007879+0.000093 test-mlogloss:1.037630+0.048056
## [104] train-mlogloss:0.007830+0.000092 test-mlogloss:1.038695+0.047492
## [105] train-mlogloss:0.007773+0.000090 test-mlogloss:1.039952+0.047941
## [106] train-mlogloss:0.007719+0.000086 test-mlogloss:1.041396+0.048438
## [107] train-mlogloss:0.007667+0.000086 test-mlogloss:1.041904+0.048646
## [108] train-mlogloss:0.007614+0.000086 test-mlogloss:1.043511+0.048370
## [109] train-mlogloss:0.007558+0.000083 test-mlogloss:1.044762+0.048792
## [110] train-mlogloss:0.007508+0.000082 test-mlogloss:1.045033+0.049015
## [111] train-mlogloss:0.007456+0.000084 test-mlogloss:1.046310+0.049317
## [112] train-mlogloss:0.007407+0.000081 test-mlogloss:1.047491+0.049023
## [113] train-mlogloss:0.007360+0.000080 test-mlogloss:1.047520+0.049625
## [114] train-mlogloss:0.007313+0.000079 test-mlogloss:1.048759+0.050331
## [115] train-mlogloss:0.007269+0.000078 test-mlogloss:1.050633+0.050764
## [116] train-mlogloss:0.007226+0.000077 test-mlogloss:1.051479+0.050614
## [117] train-mlogloss:0.007180+0.000076 test-mlogloss:1.052250+0.050361
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## [119] train-mlogloss:0.007096+0.000076 test-mlogloss:1.053767+0.050148
## [120] train-mlogloss:0.007055+0.000074 test-mlogloss:1.054899+0.050310
## [121] train-mlogloss:0.007014+0.000071 test-mlogloss:1.055809+0.050492
## [122] train-mlogloss:0.006971+0.000071 test-mlogloss:1.056726+0.050773
## [123] train-mlogloss:0.006933+0.000074 test-mlogloss:1.057155+0.050305
## [124] train-mlogloss:0.006891+0.000075 test-mlogloss:1.057770+0.050814
## [125] train-mlogloss:0.006852+0.000076 test-mlogloss:1.058730+0.050768
## [126] train-mlogloss:0.006812+0.000080 test-mlogloss:1.059603+0.050560
## [127] train-mlogloss:0.006776+0.000082 test-mlogloss:1.060785+0.050305
## [128] train-mlogloss:0.006740+0.000081 test-mlogloss:1.061953+0.050666
## [129] train-mlogloss:0.006705+0.000080 test-mlogloss:1.062564+0.051310
## [130] train-mlogloss:0.006668+0.000079 test-mlogloss:1.063329+0.052058
## [131] train-mlogloss:0.006634+0.000079 test-mlogloss:1.063722+0.051692
## [132] train-mlogloss:0.006600+0.000080 test-mlogloss:1.064772+0.051654
## [133] train-mlogloss:0.006564+0.000082 test-mlogloss:1.065316+0.051487
## [134] train-mlogloss:0.006531+0.000078 test-mlogloss:1.067054+0.051989
## [135] train-mlogloss:0.006495+0.000079 test-mlogloss:1.067328+0.052611
## [136] train-mlogloss:0.006466+0.000077 test-mlogloss:1.068280+0.052974
## [137] train-mlogloss:0.006431+0.000080 test-mlogloss:1.068783+0.052968
## [138] train-mlogloss:0.006399+0.000082 test-mlogloss:1.069670+0.053792
## [139] train-mlogloss:0.006370+0.000080 test-mlogloss:1.069640+0.053378
## [140] train-mlogloss:0.006340+0.000079 test-mlogloss:1.070558+0.052923
## [141] train-mlogloss:0.006309+0.000082 test-mlogloss:1.070260+0.053211
## [142] train-mlogloss:0.006279+0.000079 test-mlogloss:1.070886+0.052936
## [143] train-mlogloss:0.006247+0.000075 test-mlogloss:1.071698+0.052707
## [144] train-mlogloss:0.006217+0.000074 test-mlogloss:1.073186+0.052843
## [145] train-mlogloss:0.006186+0.000074 test-mlogloss:1.073616+0.052884
## [146] train-mlogloss:0.006157+0.000074 test-mlogloss:1.074506+0.052604
## [147] train-mlogloss:0.006127+0.000072 test-mlogloss:1.074994+0.052787
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## [150] train-mlogloss:0.006044+0.000071 test-mlogloss:1.076575+0.052613
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## [152] train-mlogloss:0.005991+0.000072 test-mlogloss:1.077402+0.053289
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## [154] train-mlogloss:0.005937+0.000068 test-mlogloss:1.078013+0.052663
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## [156] train-mlogloss:0.005885+0.000069 test-mlogloss:1.078577+0.053049
## [157] train-mlogloss:0.005858+0.000067 test-mlogloss:1.079075+0.053193
## [158] train-mlogloss:0.005831+0.000068 test-mlogloss:1.079996+0.053349
## [159] train-mlogloss:0.005807+0.000069 test-mlogloss:1.080760+0.052653
## [160] train-mlogloss:0.005781+0.000067 test-mlogloss:1.081109+0.052929
## [161] train-mlogloss:0.005759+0.000069 test-mlogloss:1.081563+0.052875
## [162] train-mlogloss:0.005736+0.000070 test-mlogloss:1.082163+0.052563
## [163] train-mlogloss:0.005713+0.000069 test-mlogloss:1.082468+0.053006
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## [166] train-mlogloss:0.005646+0.000067 test-mlogloss:1.083812+0.053791
## [167] train-mlogloss:0.005624+0.000069 test-mlogloss:1.084407+0.053872
## [168] train-mlogloss:0.005602+0.000071 test-mlogloss:1.084904+0.054054
## [169] train-mlogloss:0.005582+0.000070 test-mlogloss:1.085376+0.054214
## [170] train-mlogloss:0.005562+0.000073 test-mlogloss:1.085791+0.054392
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## [172] train-mlogloss:0.005521+0.000071 test-mlogloss:1.087757+0.056059
## [173] train-mlogloss:0.005502+0.000071 test-mlogloss:1.088474+0.056182
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## [175] train-mlogloss:0.005461+0.000069 test-mlogloss:1.089169+0.055833
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## [177] train-mlogloss:0.005420+0.000071 test-mlogloss:1.089849+0.055439
## [178] train-mlogloss:0.005401+0.000070 test-mlogloss:1.089686+0.055071
## [179] train-mlogloss:0.005382+0.000071 test-mlogloss:1.089966+0.054206
## [180] train-mlogloss:0.005362+0.000071 test-mlogloss:1.090624+0.054539
## [181] train-mlogloss:0.005344+0.000072 test-mlogloss:1.091204+0.054526
## [182] train-mlogloss:0.005326+0.000071 test-mlogloss:1.091668+0.055135
## [183] train-mlogloss:0.005308+0.000070 test-mlogloss:1.092459+0.055505
## [184] train-mlogloss:0.005289+0.000068 test-mlogloss:1.092885+0.055634
## [185] train-mlogloss:0.005270+0.000068 test-mlogloss:1.094180+0.055394
## [186] train-mlogloss:0.005253+0.000068 test-mlogloss:1.093921+0.055674
## [187] train-mlogloss:0.005234+0.000070 test-mlogloss:1.093779+0.055755
## [188] train-mlogloss:0.005215+0.000069 test-mlogloss:1.094511+0.055941
## [189] train-mlogloss:0.005197+0.000067 test-mlogloss:1.094959+0.055572
## [190] train-mlogloss:0.005179+0.000068 test-mlogloss:1.095991+0.055102
## [191] train-mlogloss:0.005162+0.000069 test-mlogloss:1.096599+0.055344
## [192] train-mlogloss:0.005147+0.000069 test-mlogloss:1.097192+0.055251
## [193] train-mlogloss:0.005129+0.000070 test-mlogloss:1.098074+0.055709
## [194] train-mlogloss:0.005113+0.000070 test-mlogloss:1.098889+0.055914
## [195] train-mlogloss:0.005097+0.000068 test-mlogloss:1.099248+0.055754
## [196] train-mlogloss:0.005079+0.000067 test-mlogloss:1.100012+0.054879
## [197] train-mlogloss:0.005065+0.000068 test-mlogloss:1.099858+0.055495
## [198] train-mlogloss:0.005047+0.000068 test-mlogloss:1.099720+0.055229
## [199] train-mlogloss:0.005031+0.000068 test-mlogloss:1.100432+0.054997
## [200] train-mlogloss:0.005014+0.000068 test-mlogloss:1.101220+0.055504
## [201] train-mlogloss:0.004999+0.000069 test-mlogloss:1.101361+0.054815
## [202] train-mlogloss:0.004982+0.000069 test-mlogloss:1.102220+0.055577
## [203] train-mlogloss:0.004966+0.000069 test-mlogloss:1.101780+0.055723
## [204] train-mlogloss:0.004950+0.000069 test-mlogloss:1.102105+0.055795
## [205] train-mlogloss:0.004935+0.000068 test-mlogloss:1.102628+0.055377
## [206] train-mlogloss:0.004922+0.000068 test-mlogloss:1.102830+0.055698
## [207] train-mlogloss:0.004909+0.000069 test-mlogloss:1.103056+0.055259
## [208] train-mlogloss:0.004893+0.000067 test-mlogloss:1.103913+0.055362
## [209] train-mlogloss:0.004880+0.000068 test-mlogloss:1.104370+0.055207
## [210] train-mlogloss:0.004865+0.000068 test-mlogloss:1.105255+0.055061
## [211] train-mlogloss:0.004851+0.000069 test-mlogloss:1.105057+0.055194
## [212] train-mlogloss:0.004837+0.000069 test-mlogloss:1.105543+0.055820
## [213] train-mlogloss:0.004824+0.000068 test-mlogloss:1.106290+0.055453
## [214] train-mlogloss:0.004810+0.000068 test-mlogloss:1.105811+0.055385
## [215] train-mlogloss:0.004795+0.000067 test-mlogloss:1.106317+0.055207
## [216] train-mlogloss:0.004782+0.000067 test-mlogloss:1.106621+0.054661
## [217] train-mlogloss:0.004769+0.000068 test-mlogloss:1.107152+0.054464
## [218] train-mlogloss:0.004754+0.000065 test-mlogloss:1.108091+0.054533
## [219] train-mlogloss:0.004741+0.000064 test-mlogloss:1.107990+0.055030
## [220] train-mlogloss:0.004728+0.000064 test-mlogloss:1.108121+0.054646
## [221] train-mlogloss:0.004714+0.000064 test-mlogloss:1.108096+0.054536
## [222] train-mlogloss:0.004702+0.000063 test-mlogloss:1.108637+0.054532
## [223] train-mlogloss:0.004689+0.000063 test-mlogloss:1.109284+0.054100
## [224] train-mlogloss:0.004677+0.000063 test-mlogloss:1.109101+0.053357
## [225] train-mlogloss:0.004664+0.000061 test-mlogloss:1.110127+0.053577
## [226] train-mlogloss:0.004652+0.000061 test-mlogloss:1.110682+0.053974
## [227] train-mlogloss:0.004639+0.000060 test-mlogloss:1.111636+0.054082
## [228] train-mlogloss:0.004627+0.000061 test-mlogloss:1.111688+0.054610
## [229] train-mlogloss:0.004615+0.000060 test-mlogloss:1.111875+0.053951
## [230] train-mlogloss:0.004604+0.000061 test-mlogloss:1.112599+0.054392
## [231] train-mlogloss:0.004592+0.000061 test-mlogloss:1.112623+0.054859
## [232] train-mlogloss:0.004578+0.000061 test-mlogloss:1.113305+0.055387
## [233] train-mlogloss:0.004567+0.000063 test-mlogloss:1.113855+0.055750
## [234] train-mlogloss:0.004556+0.000063 test-mlogloss:1.113932+0.055669
## [235] train-mlogloss:0.004544+0.000061 test-mlogloss:1.113889+0.055426
## [236] train-mlogloss:0.004533+0.000061 test-mlogloss:1.114757+0.055763
## [237] train-mlogloss:0.004521+0.000062 test-mlogloss:1.115240+0.055522
## [238] train-mlogloss:0.004509+0.000062 test-mlogloss:1.115603+0.055556
## [239] train-mlogloss:0.004496+0.000062 test-mlogloss:1.116073+0.055493
## [240] train-mlogloss:0.004484+0.000063 test-mlogloss:1.116012+0.055260
## [241] train-mlogloss:0.004471+0.000062 test-mlogloss:1.116266+0.055299
## [242] train-mlogloss:0.004459+0.000061 test-mlogloss:1.116173+0.055445
## [243] train-mlogloss:0.004448+0.000062 test-mlogloss:1.116320+0.055847
## [244] train-mlogloss:0.004437+0.000062 test-mlogloss:1.116529+0.055111
## [245] train-mlogloss:0.004425+0.000061 test-mlogloss:1.116653+0.055380
## [246] train-mlogloss:0.004414+0.000062 test-mlogloss:1.116714+0.055365
## [247] train-mlogloss:0.004403+0.000062 test-mlogloss:1.117873+0.055671
## [248] train-mlogloss:0.004392+0.000064 test-mlogloss:1.118147+0.055685
## [249] train-mlogloss:0.004383+0.000063 test-mlogloss:1.118690+0.055669
## [250] train-mlogloss:0.004374+0.000063 test-mlogloss:1.119165+0.055414
## [251] train-mlogloss:0.004364+0.000063 test-mlogloss:1.119817+0.055717
## [252] train-mlogloss:0.004355+0.000062 test-mlogloss:1.120238+0.055824
## [253] train-mlogloss:0.004343+0.000064 test-mlogloss:1.120994+0.055894
## [254] train-mlogloss:0.004333+0.000064 test-mlogloss:1.121899+0.055942
## [255] train-mlogloss:0.004322+0.000063 test-mlogloss:1.122363+0.055756
## [256] train-mlogloss:0.004311+0.000063 test-mlogloss:1.122415+0.055505
## [257] train-mlogloss:0.004300+0.000062 test-mlogloss:1.123153+0.055860
## [258] train-mlogloss:0.004290+0.000062 test-mlogloss:1.123571+0.055746
## [259] train-mlogloss:0.004281+0.000061 test-mlogloss:1.123628+0.055921
## [260] train-mlogloss:0.004272+0.000061 test-mlogloss:1.124128+0.055964
## [261] train-mlogloss:0.004261+0.000060 test-mlogloss:1.124995+0.055896
## [262] train-mlogloss:0.004252+0.000059 test-mlogloss:1.125033+0.056338
## [263] train-mlogloss:0.004242+0.000059 test-mlogloss:1.125661+0.056307
## [264] train-mlogloss:0.004233+0.000058 test-mlogloss:1.126098+0.056461
## [265] train-mlogloss:0.004223+0.000057 test-mlogloss:1.126283+0.056623
## [266] train-mlogloss:0.004214+0.000056 test-mlogloss:1.126192+0.056202
## [267] train-mlogloss:0.004203+0.000054 test-mlogloss:1.127000+0.056362
## [268] train-mlogloss:0.004193+0.000054 test-mlogloss:1.127085+0.056602
## [269] train-mlogloss:0.004184+0.000054 test-mlogloss:1.127587+0.056597
## [270] train-mlogloss:0.004175+0.000053 test-mlogloss:1.128294+0.056891
## [271] train-mlogloss:0.004164+0.000053 test-mlogloss:1.128829+0.057013
## [272] train-mlogloss:0.004155+0.000053 test-mlogloss:1.129233+0.057029
## [273] train-mlogloss:0.004146+0.000052 test-mlogloss:1.129739+0.056418
## [274] train-mlogloss:0.004136+0.000051 test-mlogloss:1.130147+0.056689
## [275] train-mlogloss:0.004128+0.000051 test-mlogloss:1.130564+0.056809
## [276] train-mlogloss:0.004119+0.000050 test-mlogloss:1.130328+0.056550
## [277] train-mlogloss:0.004110+0.000051 test-mlogloss:1.130679+0.056970
## [278] train-mlogloss:0.004100+0.000050 test-mlogloss:1.131073+0.056704
## [279] train-mlogloss:0.004091+0.000050 test-mlogloss:1.131657+0.057103
## [280] train-mlogloss:0.004082+0.000049 test-mlogloss:1.131681+0.057335
## [281] train-mlogloss:0.004074+0.000049 test-mlogloss:1.132138+0.057552
## [282] train-mlogloss:0.004066+0.000049 test-mlogloss:1.132052+0.057316
## [283] train-mlogloss:0.004057+0.000049 test-mlogloss:1.132529+0.057927
## [284] train-mlogloss:0.004049+0.000050 test-mlogloss:1.132807+0.057581
## [285] train-mlogloss:0.004042+0.000049 test-mlogloss:1.133083+0.057334
## [286] train-mlogloss:0.004034+0.000048 test-mlogloss:1.133745+0.057151
## [287] train-mlogloss:0.004025+0.000048 test-mlogloss:1.134310+0.057154
## [288] train-mlogloss:0.004017+0.000048 test-mlogloss:1.134636+0.056997
## [289] train-mlogloss:0.004009+0.000047 test-mlogloss:1.134755+0.056833
## [290] train-mlogloss:0.004001+0.000046 test-mlogloss:1.134973+0.056777
## [291] train-mlogloss:0.003993+0.000047 test-mlogloss:1.135417+0.056733
## [292] train-mlogloss:0.003986+0.000046 test-mlogloss:1.135529+0.056354
## [293] train-mlogloss:0.003978+0.000046 test-mlogloss:1.135966+0.056460
## [294] train-mlogloss:0.003969+0.000044 test-mlogloss:1.136332+0.056844
## [295] train-mlogloss:0.003962+0.000044 test-mlogloss:1.136911+0.056513
## [296] train-mlogloss:0.003954+0.000043 test-mlogloss:1.137583+0.056011
## [297] train-mlogloss:0.003947+0.000043 test-mlogloss:1.137314+0.056487
## [298] train-mlogloss:0.003939+0.000043 test-mlogloss:1.137626+0.056274
## [299] train-mlogloss:0.003931+0.000043 test-mlogloss:1.137892+0.056675
## [300] train-mlogloss:0.003923+0.000043 test-mlogloss:1.138242+0.056458
## [301] train-mlogloss:0.003915+0.000043 test-mlogloss:1.138409+0.056452
## [302] train-mlogloss:0.003908+0.000044 test-mlogloss:1.138380+0.056149
## [303] train-mlogloss:0.003900+0.000043 test-mlogloss:1.138307+0.055954
## [304] train-mlogloss:0.003892+0.000042 test-mlogloss:1.138707+0.056019
## [305] train-mlogloss:0.003886+0.000042 test-mlogloss:1.139406+0.056467
## [306] train-mlogloss:0.003879+0.000041 test-mlogloss:1.140292+0.056552
## [307] train-mlogloss:0.003872+0.000041 test-mlogloss:1.140705+0.056551
## [308] train-mlogloss:0.003865+0.000040 test-mlogloss:1.141295+0.056464
## [309] train-mlogloss:0.003857+0.000039 test-mlogloss:1.141661+0.056442
## [310] train-mlogloss:0.003849+0.000039 test-mlogloss:1.141613+0.056515
## [311] train-mlogloss:0.003842+0.000039 test-mlogloss:1.142076+0.057013
## [312] train-mlogloss:0.003835+0.000039 test-mlogloss:1.141961+0.056869
## [313] train-mlogloss:0.003828+0.000038 test-mlogloss:1.142232+0.057302
## [314] train-mlogloss:0.003822+0.000038 test-mlogloss:1.142581+0.057201
## [315] train-mlogloss:0.003815+0.000037 test-mlogloss:1.142879+0.057513
## [316] train-mlogloss:0.003808+0.000036 test-mlogloss:1.143410+0.057199
## [317] train-mlogloss:0.003801+0.000036 test-mlogloss:1.143184+0.057782
## [318] train-mlogloss:0.003794+0.000036 test-mlogloss:1.143521+0.057319
## [319] train-mlogloss:0.003788+0.000035 test-mlogloss:1.143827+0.057176
## [320] train-mlogloss:0.003781+0.000035 test-mlogloss:1.143880+0.057562
## [321] train-mlogloss:0.003774+0.000035 test-mlogloss:1.143895+0.057355
## [322] train-mlogloss:0.003767+0.000035 test-mlogloss:1.144559+0.057861
## [323] train-mlogloss:0.003761+0.000034 test-mlogloss:1.144759+0.057598
## [324] train-mlogloss:0.003754+0.000033 test-mlogloss:1.144933+0.057172
## [325] train-mlogloss:0.003746+0.000033 test-mlogloss:1.145057+0.057039
## [326] train-mlogloss:0.003740+0.000033 test-mlogloss:1.145448+0.056766
## [327] train-mlogloss:0.003733+0.000032 test-mlogloss:1.146031+0.056716
## [328] train-mlogloss:0.003727+0.000032 test-mlogloss:1.146151+0.057024
## [329] train-mlogloss:0.003721+0.000033 test-mlogloss:1.146172+0.057548
## [330] train-mlogloss:0.003715+0.000033 test-mlogloss:1.146621+0.057859
## [331] train-mlogloss:0.003708+0.000032 test-mlogloss:1.146882+0.057851
## [332] train-mlogloss:0.003701+0.000032 test-mlogloss:1.147117+0.057932
## [333] train-mlogloss:0.003696+0.000031 test-mlogloss:1.147375+0.058160
## [334] train-mlogloss:0.003689+0.000031 test-mlogloss:1.147421+0.057944
## [335] train-mlogloss:0.003683+0.000032 test-mlogloss:1.147889+0.058630
## [336] train-mlogloss:0.003677+0.000032 test-mlogloss:1.148507+0.058704
## [337] train-mlogloss:0.003671+0.000032 test-mlogloss:1.148322+0.058360
## [338] train-mlogloss:0.003666+0.000031 test-mlogloss:1.148212+0.058843
## [339] train-mlogloss:0.003660+0.000032 test-mlogloss:1.148255+0.059163
## [340] train-mlogloss:0.003654+0.000032 test-mlogloss:1.148820+0.059196
## [341] train-mlogloss:0.003648+0.000032 test-mlogloss:1.149351+0.059813
## [342] train-mlogloss:0.003642+0.000031 test-mlogloss:1.149181+0.059750
## [343] train-mlogloss:0.003636+0.000032 test-mlogloss:1.149628+0.059691
## [344] train-mlogloss:0.003630+0.000033 test-mlogloss:1.149179+0.059243
## [345] train-mlogloss:0.003624+0.000034 test-mlogloss:1.149458+0.059419
## [346] train-mlogloss:0.003618+0.000034 test-mlogloss:1.149842+0.060046
## [347] train-mlogloss:0.003613+0.000033 test-mlogloss:1.150064+0.060093
## [348] train-mlogloss:0.003607+0.000033 test-mlogloss:1.149933+0.060326
## [349] train-mlogloss:0.003601+0.000033 test-mlogloss:1.150652+0.060227
## [350] train-mlogloss:0.003595+0.000035 test-mlogloss:1.150927+0.060719
## [351] train-mlogloss:0.003589+0.000035 test-mlogloss:1.150390+0.060527
## [352] train-mlogloss:0.003584+0.000035 test-mlogloss:1.150625+0.060259
## [353] train-mlogloss:0.003578+0.000035 test-mlogloss:1.151365+0.060071
## [354] train-mlogloss:0.003572+0.000035 test-mlogloss:1.151530+0.060100
## [355] train-mlogloss:0.003566+0.000035 test-mlogloss:1.151996+0.059936
## [356] train-mlogloss:0.003560+0.000035 test-mlogloss:1.152431+0.060389
## [357] train-mlogloss:0.003554+0.000036 test-mlogloss:1.152725+0.060430
## [358] train-mlogloss:0.003548+0.000035 test-mlogloss:1.153148+0.060741
## [359] train-mlogloss:0.003544+0.000035 test-mlogloss:1.153154+0.060330
## [360] train-mlogloss:0.003539+0.000034 test-mlogloss:1.153823+0.060482
## [361] train-mlogloss:0.003532+0.000034 test-mlogloss:1.154448+0.060602
## [362] train-mlogloss:0.003526+0.000033 test-mlogloss:1.154664+0.060082
## [363] train-mlogloss:0.003520+0.000032 test-mlogloss:1.155033+0.060070
## [364] train-mlogloss:0.003515+0.000032 test-mlogloss:1.155246+0.059831
## [365] train-mlogloss:0.003511+0.000032 test-mlogloss:1.155345+0.060093
## [366] train-mlogloss:0.003505+0.000032 test-mlogloss:1.155675+0.059840
## [367] train-mlogloss:0.003499+0.000032 test-mlogloss:1.156025+0.059892
## [368] train-mlogloss:0.003493+0.000031 test-mlogloss:1.156308+0.060136
## [369] train-mlogloss:0.003487+0.000031 test-mlogloss:1.156106+0.059829
## [370] train-mlogloss:0.003482+0.000030 test-mlogloss:1.156602+0.059525
## [371] train-mlogloss:0.003477+0.000031 test-mlogloss:1.156854+0.059691
## [372] train-mlogloss:0.003472+0.000031 test-mlogloss:1.157092+0.060082
## [373] train-mlogloss:0.003467+0.000030 test-mlogloss:1.157040+0.059944
## [374] train-mlogloss:0.003462+0.000030 test-mlogloss:1.157428+0.059762
## [375] train-mlogloss:0.003457+0.000032 test-mlogloss:1.157525+0.059690
## [376] train-mlogloss:0.003452+0.000032 test-mlogloss:1.158088+0.059406
## [377] train-mlogloss:0.003446+0.000032 test-mlogloss:1.158710+0.059500
## [378] train-mlogloss:0.003441+0.000032 test-mlogloss:1.158127+0.059318
## [379] train-mlogloss:0.003436+0.000031 test-mlogloss:1.158342+0.059713
## [380] train-mlogloss:0.003430+0.000032 test-mlogloss:1.158843+0.059574
## [381] train-mlogloss:0.003425+0.000031 test-mlogloss:1.159222+0.060128
## [382] train-mlogloss:0.003420+0.000032 test-mlogloss:1.159731+0.059695
## [383] train-mlogloss:0.003415+0.000032 test-mlogloss:1.159548+0.059799
## [384] train-mlogloss:0.003410+0.000031 test-mlogloss:1.159764+0.059490
## [385] train-mlogloss:0.003406+0.000031 test-mlogloss:1.160054+0.059750
## [386] train-mlogloss:0.003402+0.000032 test-mlogloss:1.160502+0.060201
## [387] train-mlogloss:0.003397+0.000032 test-mlogloss:1.160869+0.060093
## [388] train-mlogloss:0.003392+0.000031 test-mlogloss:1.161070+0.060089
## [389] train-mlogloss:0.003387+0.000031 test-mlogloss:1.161217+0.060332
## [390] train-mlogloss:0.003383+0.000031 test-mlogloss:1.161582+0.059995
## [391] train-mlogloss:0.003378+0.000031 test-mlogloss:1.162234+0.059797
## [392] train-mlogloss:0.003374+0.000032 test-mlogloss:1.162187+0.059676
## [393] train-mlogloss:0.003370+0.000032 test-mlogloss:1.162240+0.059502
## [394] train-mlogloss:0.003364+0.000031 test-mlogloss:1.162754+0.059406
## [395] train-mlogloss:0.003359+0.000032 test-mlogloss:1.163008+0.059884
## [396] train-mlogloss:0.003355+0.000032 test-mlogloss:1.163616+0.060215
## [397] train-mlogloss:0.003350+0.000032 test-mlogloss:1.163750+0.060420
## [398] train-mlogloss:0.003346+0.000031 test-mlogloss:1.164092+0.060339
## [399] train-mlogloss:0.003340+0.000032 test-mlogloss:1.164497+0.060756
## [400] train-mlogloss:0.003336+0.000032 test-mlogloss:1.164459+0.060993
## [401] train-mlogloss:0.003331+0.000032 test-mlogloss:1.164714+0.061046
## [402] train-mlogloss:0.003326+0.000032 test-mlogloss:1.164707+0.061199
## [403] train-mlogloss:0.003322+0.000031 test-mlogloss:1.165273+0.061224
## [404] train-mlogloss:0.003317+0.000031 test-mlogloss:1.164952+0.060569
## [405] train-mlogloss:0.003312+0.000031 test-mlogloss:1.165435+0.060520
## [406] train-mlogloss:0.003308+0.000031 test-mlogloss:1.165870+0.060271
## [407] train-mlogloss:0.003303+0.000031 test-mlogloss:1.165944+0.060288
## [408] train-mlogloss:0.003299+0.000030 test-mlogloss:1.165934+0.060239
## [409] train-mlogloss:0.003296+0.000030 test-mlogloss:1.165868+0.060175
## [410] train-mlogloss:0.003291+0.000031 test-mlogloss:1.166345+0.060461
## [411] train-mlogloss:0.003286+0.000031 test-mlogloss:1.166469+0.060530
## [412] train-mlogloss:0.003282+0.000030 test-mlogloss:1.166704+0.060746
## [413] train-mlogloss:0.003277+0.000030 test-mlogloss:1.167130+0.060611
## [414] train-mlogloss:0.003273+0.000030 test-mlogloss:1.167286+0.060883
## [415] train-mlogloss:0.003269+0.000029 test-mlogloss:1.167625+0.061073
## [416] train-mlogloss:0.003265+0.000029 test-mlogloss:1.167734+0.060955
## [417] train-mlogloss:0.003261+0.000030 test-mlogloss:1.167661+0.060550
## [418] train-mlogloss:0.003256+0.000030 test-mlogloss:1.168231+0.060614
## [419] train-mlogloss:0.003253+0.000030 test-mlogloss:1.168331+0.060547
## [420] train-mlogloss:0.003248+0.000030 test-mlogloss:1.168622+0.060169
## [421] train-mlogloss:0.003245+0.000030 test-mlogloss:1.169039+0.060476
## [422] train-mlogloss:0.003241+0.000029 test-mlogloss:1.168849+0.060202
## [423] train-mlogloss:0.003236+0.000029 test-mlogloss:1.169069+0.060196
## [424] train-mlogloss:0.003232+0.000029 test-mlogloss:1.169283+0.060162
## [425] train-mlogloss:0.003227+0.000029 test-mlogloss:1.169479+0.060013
## [426] train-mlogloss:0.003224+0.000029 test-mlogloss:1.169565+0.060149
## [427] train-mlogloss:0.003220+0.000029 test-mlogloss:1.169794+0.060137
## [428] train-mlogloss:0.003217+0.000029 test-mlogloss:1.170162+0.060020
## [429] train-mlogloss:0.003213+0.000029 test-mlogloss:1.170586+0.060528
## [430] train-mlogloss:0.003209+0.000028 test-mlogloss:1.171049+0.060609
## [431] train-mlogloss:0.003205+0.000028 test-mlogloss:1.171227+0.060290
## [432] train-mlogloss:0.003202+0.000028 test-mlogloss:1.171228+0.059943
## [433] train-mlogloss:0.003198+0.000028 test-mlogloss:1.171619+0.059980
## [434] train-mlogloss:0.003194+0.000029 test-mlogloss:1.171777+0.060556
## [435] train-mlogloss:0.003190+0.000029 test-mlogloss:1.171768+0.060348
## [436] train-mlogloss:0.003185+0.000029 test-mlogloss:1.171990+0.059978
## [437] train-mlogloss:0.003181+0.000029 test-mlogloss:1.172418+0.060258
## [438] train-mlogloss:0.003178+0.000029 test-mlogloss:1.172603+0.060019
## [439] train-mlogloss:0.003173+0.000028 test-mlogloss:1.172881+0.059762
## [440] train-mlogloss:0.003169+0.000028 test-mlogloss:1.173049+0.059704
## [441] train-mlogloss:0.003165+0.000028 test-mlogloss:1.173394+0.059918
## [442] train-mlogloss:0.003161+0.000028 test-mlogloss:1.173592+0.060053
## [443] train-mlogloss:0.003157+0.000027 test-mlogloss:1.173640+0.060043
## [444] train-mlogloss:0.003153+0.000027 test-mlogloss:1.173873+0.060038
## [445] train-mlogloss:0.003150+0.000027 test-mlogloss:1.174473+0.060211
## [446] train-mlogloss:0.003146+0.000027 test-mlogloss:1.174866+0.059643
## [447] train-mlogloss:0.003142+0.000027 test-mlogloss:1.174946+0.059586
## [448] train-mlogloss:0.003139+0.000027 test-mlogloss:1.174758+0.059467
## [449] train-mlogloss:0.003136+0.000028 test-mlogloss:1.174916+0.059328
## [450] train-mlogloss:0.003132+0.000027 test-mlogloss:1.174780+0.059221
## [451] train-mlogloss:0.003129+0.000028 test-mlogloss:1.175056+0.059244
## [452] train-mlogloss:0.003125+0.000028 test-mlogloss:1.175121+0.059144
## [453] train-mlogloss:0.003121+0.000029 test-mlogloss:1.175263+0.059219
## [454] train-mlogloss:0.003118+0.000028 test-mlogloss:1.175827+0.058998
## [455] train-mlogloss:0.003114+0.000028 test-mlogloss:1.175563+0.059011
## [456] train-mlogloss:0.003111+0.000028 test-mlogloss:1.175520+0.059158
## [457] train-mlogloss:0.003107+0.000027 test-mlogloss:1.175747+0.058660
## [458] train-mlogloss:0.003104+0.000027 test-mlogloss:1.176450+0.058801
## [459] train-mlogloss:0.003100+0.000027 test-mlogloss:1.176907+0.058963
## [460] train-mlogloss:0.003097+0.000028 test-mlogloss:1.177106+0.058977
## [461] train-mlogloss:0.003093+0.000028 test-mlogloss:1.177038+0.059180
## [462] train-mlogloss:0.003089+0.000028 test-mlogloss:1.177585+0.059116
## [463] train-mlogloss:0.003086+0.000028 test-mlogloss:1.177404+0.058698
## [464] train-mlogloss:0.003083+0.000027 test-mlogloss:1.177700+0.058916
## [465] train-mlogloss:0.003080+0.000028 test-mlogloss:1.177798+0.058879
## [466] train-mlogloss:0.003077+0.000028 test-mlogloss:1.178401+0.059169
## [467] train-mlogloss:0.003073+0.000028 test-mlogloss:1.178204+0.058950
## [468] train-mlogloss:0.003070+0.000028 test-mlogloss:1.178437+0.059405
## [469] train-mlogloss:0.003067+0.000028 test-mlogloss:1.178979+0.059562
## [470] train-mlogloss:0.003063+0.000028 test-mlogloss:1.179049+0.059607
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## [472] train-mlogloss:0.003057+0.000028 test-mlogloss:1.180080+0.059862
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## [474] train-mlogloss:0.003051+0.000028 test-mlogloss:1.180364+0.059550
## [475] train-mlogloss:0.003048+0.000028 test-mlogloss:1.180379+0.059499
## [476] train-mlogloss:0.003044+0.000027 test-mlogloss:1.180140+0.059730
## [477] train-mlogloss:0.003041+0.000027 test-mlogloss:1.180370+0.059986
## [478] train-mlogloss:0.003038+0.000027 test-mlogloss:1.180392+0.059966
## [479] train-mlogloss:0.003035+0.000027 test-mlogloss:1.180612+0.059790
## [480] train-mlogloss:0.003031+0.000026 test-mlogloss:1.181051+0.060102
## [481] train-mlogloss:0.003028+0.000026 test-mlogloss:1.180955+0.059829
## [482] train-mlogloss:0.003024+0.000026 test-mlogloss:1.181446+0.059511
## [483] train-mlogloss:0.003021+0.000026 test-mlogloss:1.181723+0.059268
## [484] train-mlogloss:0.003018+0.000027 test-mlogloss:1.181930+0.059372
## [485] train-mlogloss:0.003015+0.000027 test-mlogloss:1.181858+0.059529
## [486] train-mlogloss:0.003012+0.000026 test-mlogloss:1.182022+0.059562
## [487] train-mlogloss:0.003009+0.000026 test-mlogloss:1.182230+0.060009
## [488] train-mlogloss:0.003006+0.000026 test-mlogloss:1.182456+0.059980
## [489] train-mlogloss:0.003003+0.000026 test-mlogloss:1.182410+0.060085
## [490] train-mlogloss:0.003000+0.000026 test-mlogloss:1.182755+0.059705
## [491] train-mlogloss:0.002997+0.000025 test-mlogloss:1.182911+0.060010
## [492] train-mlogloss:0.002993+0.000025 test-mlogloss:1.183112+0.060072
## [493] train-mlogloss:0.002990+0.000024 test-mlogloss:1.183053+0.059833
## [494] train-mlogloss:0.002988+0.000025 test-mlogloss:1.183237+0.059524
## [495] train-mlogloss:0.002984+0.000024 test-mlogloss:1.183719+0.059442
## [496] train-mlogloss:0.002981+0.000024 test-mlogloss:1.184124+0.059832
## [497] train-mlogloss:0.002977+0.000024 test-mlogloss:1.184613+0.060113
## [498] train-mlogloss:0.002974+0.000024 test-mlogloss:1.184530+0.060112
## [499] train-mlogloss:0.002971+0.000024 test-mlogloss:1.184680+0.059916
## [500] train-mlogloss:0.002968+0.000024 test-mlogloss:1.184661+0.059987
## [1] train-mlogloss:0.525099+0.003845 test-mlogloss:0.551682+0.013898
## [2] train-mlogloss:0.504118+0.003107 test-mlogloss:0.553083+0.014449
## [3] train-mlogloss:0.494631+0.003314 test-mlogloss:0.556219+0.015831
## [4] train-mlogloss:0.489410+0.003382 test-mlogloss:0.558845+0.017597
## [5] train-mlogloss:0.480297+0.005235 test-mlogloss:0.565635+0.016436
## [6] train-mlogloss:0.472390+0.004063 test-mlogloss:0.573143+0.013161
## [7] train-mlogloss:0.463875+0.005814 test-mlogloss:0.580694+0.015634
## [8] train-mlogloss:0.456362+0.004075 test-mlogloss:0.588820+0.017802
## [9] train-mlogloss:0.447983+0.004402 test-mlogloss:0.596684+0.016650
## [10] train-mlogloss:0.439918+0.004230 test-mlogloss:0.600435+0.016931
## [11] train-mlogloss:0.432015+0.004504 test-mlogloss:0.603187+0.016711
## [12] train-mlogloss:0.424279+0.003190 test-mlogloss:0.608946+0.015734
## [13] train-mlogloss:0.415690+0.004400 test-mlogloss:0.613955+0.013686
## [14] train-mlogloss:0.408022+0.004318 test-mlogloss:0.619743+0.011426
## [15] train-mlogloss:0.401342+0.005090 test-mlogloss:0.628412+0.009711
## [16] train-mlogloss:0.394439+0.004411 test-mlogloss:0.635061+0.011203
## [17] train-mlogloss:0.387738+0.004499 test-mlogloss:0.640047+0.014468
## [18] train-mlogloss:0.382807+0.004861 test-mlogloss:0.643308+0.015173
## [19] train-mlogloss:0.375168+0.006360 test-mlogloss:0.650610+0.017510
## [20] train-mlogloss:0.368424+0.006276 test-mlogloss:0.654162+0.017031
## [21] train-mlogloss:0.363282+0.007654 test-mlogloss:0.659044+0.016306
## [22] train-mlogloss:0.356947+0.007009 test-mlogloss:0.663639+0.019639
## [23] train-mlogloss:0.349363+0.007992 test-mlogloss:0.667410+0.017290
## [24] train-mlogloss:0.343484+0.007403 test-mlogloss:0.669018+0.016760
## [25] train-mlogloss:0.337684+0.007538 test-mlogloss:0.674870+0.016529
## [26] train-mlogloss:0.331095+0.005454 test-mlogloss:0.682717+0.019754
## [27] train-mlogloss:0.325007+0.004177 test-mlogloss:0.687181+0.018591
## [28] train-mlogloss:0.319193+0.005943 test-mlogloss:0.693376+0.021040
## [29] train-mlogloss:0.313982+0.006915 test-mlogloss:0.697135+0.022235
## [30] train-mlogloss:0.308904+0.007888 test-mlogloss:0.702030+0.024409
## [31] train-mlogloss:0.305431+0.007533 test-mlogloss:0.704773+0.024098
## [32] train-mlogloss:0.299795+0.007893 test-mlogloss:0.708322+0.025572
## [33] train-mlogloss:0.294025+0.007206 test-mlogloss:0.715493+0.028742
## [34] train-mlogloss:0.287983+0.007445 test-mlogloss:0.720809+0.029618
## [35] train-mlogloss:0.282657+0.007652 test-mlogloss:0.726968+0.030534
## [36] train-mlogloss:0.277338+0.008123 test-mlogloss:0.732349+0.030941
## [37] train-mlogloss:0.271742+0.009484 test-mlogloss:0.736745+0.031937
## [38] train-mlogloss:0.268232+0.009938 test-mlogloss:0.740280+0.034210
## [39] train-mlogloss:0.262933+0.009441 test-mlogloss:0.748005+0.033275
## [40] train-mlogloss:0.259024+0.008888 test-mlogloss:0.751972+0.033179
## [41] train-mlogloss:0.255055+0.008390 test-mlogloss:0.755237+0.032822
## [42] train-mlogloss:0.252038+0.007825 test-mlogloss:0.757017+0.033871
## [43] train-mlogloss:0.247766+0.008220 test-mlogloss:0.760262+0.034636
## [44] train-mlogloss:0.244447+0.008798 test-mlogloss:0.762997+0.036568
## [45] train-mlogloss:0.239819+0.010363 test-mlogloss:0.768455+0.037823
## [46] train-mlogloss:0.236671+0.011181 test-mlogloss:0.770850+0.039418
## [47] train-mlogloss:0.232440+0.009860 test-mlogloss:0.774073+0.039767
## [48] train-mlogloss:0.228420+0.008960 test-mlogloss:0.779179+0.040640
## [49] train-mlogloss:0.225240+0.008828 test-mlogloss:0.782303+0.040439
## [50] train-mlogloss:0.221944+0.007305 test-mlogloss:0.783221+0.042151
## [51] train-mlogloss:0.218761+0.006218 test-mlogloss:0.785352+0.042712
## [52] train-mlogloss:0.215105+0.006620 test-mlogloss:0.788749+0.043494
## [53] train-mlogloss:0.211499+0.007191 test-mlogloss:0.790151+0.045978
## [54] train-mlogloss:0.207749+0.006729 test-mlogloss:0.795152+0.048069
## [55] train-mlogloss:0.203697+0.006683 test-mlogloss:0.799549+0.047569
## [56] train-mlogloss:0.199867+0.006124 test-mlogloss:0.803372+0.048830
## [57] train-mlogloss:0.196309+0.005830 test-mlogloss:0.806784+0.047012
## [58] train-mlogloss:0.192550+0.006094 test-mlogloss:0.808351+0.047453
## [59] train-mlogloss:0.189455+0.006322 test-mlogloss:0.811279+0.047504
## [60] train-mlogloss:0.186005+0.006288 test-mlogloss:0.816169+0.047538
## [61] train-mlogloss:0.182930+0.006408 test-mlogloss:0.821475+0.046634
## [62] train-mlogloss:0.179579+0.006518 test-mlogloss:0.822500+0.046474
## [63] train-mlogloss:0.176202+0.006074 test-mlogloss:0.827953+0.049048
## [64] train-mlogloss:0.172605+0.005958 test-mlogloss:0.830990+0.049092
## [65] train-mlogloss:0.169888+0.005186 test-mlogloss:0.835583+0.051591
## [66] train-mlogloss:0.166588+0.005704 test-mlogloss:0.840408+0.051474
## [67] train-mlogloss:0.163470+0.005757 test-mlogloss:0.845656+0.054321
## [68] train-mlogloss:0.160941+0.005748 test-mlogloss:0.848593+0.054382
## [69] train-mlogloss:0.157238+0.005472 test-mlogloss:0.852527+0.054157
## [70] train-mlogloss:0.154707+0.005707 test-mlogloss:0.855317+0.051055
## [71] train-mlogloss:0.151712+0.006123 test-mlogloss:0.856929+0.051252
## [72] train-mlogloss:0.148727+0.005471 test-mlogloss:0.860613+0.049855
## [73] train-mlogloss:0.145639+0.005277 test-mlogloss:0.864898+0.051007
## [74] train-mlogloss:0.143340+0.005191 test-mlogloss:0.868363+0.050482
## [75] train-mlogloss:0.140724+0.005578 test-mlogloss:0.869356+0.049932
## [76] train-mlogloss:0.138445+0.005628 test-mlogloss:0.871852+0.050577
## [77] train-mlogloss:0.136579+0.006140 test-mlogloss:0.874541+0.051265
## [78] train-mlogloss:0.134388+0.006355 test-mlogloss:0.875686+0.051463
## [79] train-mlogloss:0.132644+0.006294 test-mlogloss:0.877389+0.052464
## [80] train-mlogloss:0.130189+0.005897 test-mlogloss:0.880352+0.052096
## [81] train-mlogloss:0.127266+0.005738 test-mlogloss:0.884415+0.053305
## [82] train-mlogloss:0.124889+0.005485 test-mlogloss:0.886088+0.054836
## [83] train-mlogloss:0.123412+0.005287 test-mlogloss:0.889462+0.055381
## [84] train-mlogloss:0.121269+0.004792 test-mlogloss:0.892474+0.054991
## [85] train-mlogloss:0.119434+0.004274 test-mlogloss:0.893983+0.053673
## [86] train-mlogloss:0.117390+0.004146 test-mlogloss:0.897152+0.052793
## [87] train-mlogloss:0.115474+0.004165 test-mlogloss:0.900424+0.053128
## [88] train-mlogloss:0.113734+0.003723 test-mlogloss:0.905664+0.053115
## [89] train-mlogloss:0.111629+0.003760 test-mlogloss:0.908918+0.053207
## [90] train-mlogloss:0.110043+0.003765 test-mlogloss:0.911310+0.053886
## [91] train-mlogloss:0.108648+0.003809 test-mlogloss:0.913921+0.055327
## [92] train-mlogloss:0.107308+0.003591 test-mlogloss:0.915707+0.055953
## [93] train-mlogloss:0.105332+0.002919 test-mlogloss:0.917502+0.054023
## [94] train-mlogloss:0.103744+0.002983 test-mlogloss:0.920231+0.052929
## [95] train-mlogloss:0.101502+0.002776 test-mlogloss:0.922445+0.053892
## [96] train-mlogloss:0.099502+0.003027 test-mlogloss:0.924315+0.052082
## [97] train-mlogloss:0.097618+0.003242 test-mlogloss:0.927420+0.052441
## [98] train-mlogloss:0.095970+0.003579 test-mlogloss:0.928296+0.052246
## [99] train-mlogloss:0.094640+0.003604 test-mlogloss:0.929222+0.052259
## [100] train-mlogloss:0.093052+0.003317 test-mlogloss:0.933017+0.054159
## [101] train-mlogloss:0.091726+0.003478 test-mlogloss:0.936075+0.055384
## [102] train-mlogloss:0.090600+0.003403 test-mlogloss:0.937306+0.053130
## [103] train-mlogloss:0.089394+0.003750 test-mlogloss:0.938011+0.051961
## [104] train-mlogloss:0.088090+0.003866 test-mlogloss:0.941104+0.051383
## [105] train-mlogloss:0.086304+0.003958 test-mlogloss:0.946385+0.048939
## [106] train-mlogloss:0.084585+0.003855 test-mlogloss:0.949898+0.050067
## [107] train-mlogloss:0.083124+0.003710 test-mlogloss:0.952904+0.049979
## [108] train-mlogloss:0.081556+0.003818 test-mlogloss:0.956212+0.050464
## [109] train-mlogloss:0.080720+0.003668 test-mlogloss:0.958031+0.052187
## [110] train-mlogloss:0.079951+0.003686 test-mlogloss:0.960029+0.051821
## [111] train-mlogloss:0.078743+0.003801 test-mlogloss:0.962579+0.052746
## [112] train-mlogloss:0.077610+0.004085 test-mlogloss:0.964578+0.050152
## [113] train-mlogloss:0.076420+0.004082 test-mlogloss:0.967639+0.051005
## [114] train-mlogloss:0.075423+0.004231 test-mlogloss:0.968372+0.051755
## [115] train-mlogloss:0.074083+0.004100 test-mlogloss:0.972322+0.051682
## [116] train-mlogloss:0.073209+0.003981 test-mlogloss:0.974039+0.053526
## [117] train-mlogloss:0.072046+0.004150 test-mlogloss:0.975501+0.052927
## [118] train-mlogloss:0.071083+0.004145 test-mlogloss:0.977070+0.053506
## [119] train-mlogloss:0.070417+0.003988 test-mlogloss:0.977956+0.053438
## [120] train-mlogloss:0.069480+0.003967 test-mlogloss:0.979866+0.052822
## [121] train-mlogloss:0.068591+0.004125 test-mlogloss:0.980685+0.051704
## [122] train-mlogloss:0.067646+0.004087 test-mlogloss:0.983340+0.052341
## [123] train-mlogloss:0.066318+0.003664 test-mlogloss:0.986639+0.052653
## [124] train-mlogloss:0.065226+0.003861 test-mlogloss:0.989442+0.052603
## [125] train-mlogloss:0.064247+0.003879 test-mlogloss:0.990723+0.052348
## [126] train-mlogloss:0.063411+0.003820 test-mlogloss:0.991533+0.051900
## [127] train-mlogloss:0.062778+0.003757 test-mlogloss:0.993243+0.051701
## [128] train-mlogloss:0.062007+0.003773 test-mlogloss:0.996287+0.052006
## [129] train-mlogloss:0.060870+0.003712 test-mlogloss:0.996151+0.049697
## [130] train-mlogloss:0.060001+0.003555 test-mlogloss:0.998125+0.049670
## [131] train-mlogloss:0.059143+0.003837 test-mlogloss:1.000003+0.049114
## [132] train-mlogloss:0.058189+0.003784 test-mlogloss:1.001317+0.049930
## [133] train-mlogloss:0.057645+0.003770 test-mlogloss:1.002716+0.049947
## [134] train-mlogloss:0.057066+0.003767 test-mlogloss:1.006172+0.050564
## [135] train-mlogloss:0.056445+0.003723 test-mlogloss:1.007587+0.051856
## [136] train-mlogloss:0.055625+0.003775 test-mlogloss:1.010401+0.051223
## [137] train-mlogloss:0.054737+0.003743 test-mlogloss:1.012889+0.051104
## [138] train-mlogloss:0.053943+0.003856 test-mlogloss:1.015343+0.050874
## [139] train-mlogloss:0.053345+0.003754 test-mlogloss:1.016174+0.051583
## [140] train-mlogloss:0.052447+0.003793 test-mlogloss:1.019107+0.049927
## [141] train-mlogloss:0.051816+0.003747 test-mlogloss:1.021631+0.050655
## [142] train-mlogloss:0.051130+0.003611 test-mlogloss:1.022984+0.050412
## [143] train-mlogloss:0.050704+0.003625 test-mlogloss:1.024249+0.050140
## [144] train-mlogloss:0.050332+0.003550 test-mlogloss:1.025836+0.049689
## [145] train-mlogloss:0.049559+0.003473 test-mlogloss:1.024953+0.048730
## [146] train-mlogloss:0.048977+0.003459 test-mlogloss:1.025659+0.046184
## [147] train-mlogloss:0.048032+0.003441 test-mlogloss:1.029427+0.047638
## [148] train-mlogloss:0.047594+0.003339 test-mlogloss:1.030302+0.047973
## [149] train-mlogloss:0.047123+0.003394 test-mlogloss:1.031705+0.047220
## [150] train-mlogloss:0.046558+0.003441 test-mlogloss:1.033263+0.046636
## [151] train-mlogloss:0.045953+0.003384 test-mlogloss:1.036179+0.046533
## [152] train-mlogloss:0.045538+0.003456 test-mlogloss:1.035986+0.046194
## [153] train-mlogloss:0.045182+0.003496 test-mlogloss:1.038331+0.045205
## [154] train-mlogloss:0.044537+0.003426 test-mlogloss:1.040618+0.043947
## [155] train-mlogloss:0.044020+0.003319 test-mlogloss:1.042488+0.043353
## [156] train-mlogloss:0.043549+0.003299 test-mlogloss:1.044316+0.042387
## [157] train-mlogloss:0.043014+0.003228 test-mlogloss:1.046869+0.042148
## [158] train-mlogloss:0.042506+0.003282 test-mlogloss:1.046690+0.041906
## [159] train-mlogloss:0.042124+0.003179 test-mlogloss:1.047724+0.041736
## [160] train-mlogloss:0.041420+0.003033 test-mlogloss:1.050852+0.040636
## [161] train-mlogloss:0.040934+0.003005 test-mlogloss:1.050805+0.041556
## [162] train-mlogloss:0.040330+0.002915 test-mlogloss:1.054093+0.042023
## [163] train-mlogloss:0.039742+0.002848 test-mlogloss:1.056109+0.042686
## [164] train-mlogloss:0.039272+0.002732 test-mlogloss:1.055998+0.042051
## [165] train-mlogloss:0.038898+0.002649 test-mlogloss:1.057388+0.041179
## [166] train-mlogloss:0.038569+0.002684 test-mlogloss:1.057626+0.041227
## [167] train-mlogloss:0.038115+0.002711 test-mlogloss:1.059191+0.041880
## [168] train-mlogloss:0.037624+0.002829 test-mlogloss:1.059709+0.041928
## [169] train-mlogloss:0.037175+0.002933 test-mlogloss:1.062146+0.040458
## [170] train-mlogloss:0.036845+0.002754 test-mlogloss:1.064438+0.038477
## [171] train-mlogloss:0.036406+0.002647 test-mlogloss:1.067005+0.040222
## [172] train-mlogloss:0.035902+0.002604 test-mlogloss:1.070517+0.039168
## [173] train-mlogloss:0.035606+0.002594 test-mlogloss:1.071815+0.038237
## [174] train-mlogloss:0.035254+0.002528 test-mlogloss:1.072594+0.038264
## [175] train-mlogloss:0.034888+0.002485 test-mlogloss:1.074128+0.037146
## [176] train-mlogloss:0.034540+0.002389 test-mlogloss:1.075667+0.036752
## [177] train-mlogloss:0.034215+0.002439 test-mlogloss:1.077013+0.035075
## [178] train-mlogloss:0.033804+0.002428 test-mlogloss:1.077728+0.035045
## [179] train-mlogloss:0.033488+0.002506 test-mlogloss:1.078613+0.035314
## [180] train-mlogloss:0.033163+0.002578 test-mlogloss:1.080471+0.035895
## [181] train-mlogloss:0.032696+0.002536 test-mlogloss:1.081386+0.035642
## [182] train-mlogloss:0.032341+0.002501 test-mlogloss:1.083285+0.034178
## [183] train-mlogloss:0.031899+0.002387 test-mlogloss:1.085080+0.034245
## [184] train-mlogloss:0.031523+0.002391 test-mlogloss:1.087375+0.034889
## [185] train-mlogloss:0.031229+0.002339 test-mlogloss:1.089397+0.034472
## [186] train-mlogloss:0.030788+0.002247 test-mlogloss:1.093123+0.034951
## [187] train-mlogloss:0.030434+0.002228 test-mlogloss:1.094562+0.034853
## [188] train-mlogloss:0.030083+0.002131 test-mlogloss:1.097227+0.034837
## [189] train-mlogloss:0.029730+0.002046 test-mlogloss:1.098479+0.034713
## [190] train-mlogloss:0.029430+0.001972 test-mlogloss:1.101431+0.035116
## [191] train-mlogloss:0.029118+0.001790 test-mlogloss:1.101391+0.035492
## [192] train-mlogloss:0.028859+0.001716 test-mlogloss:1.102888+0.034659
## [193] train-mlogloss:0.028570+0.001628 test-mlogloss:1.104253+0.035191
## [194] train-mlogloss:0.028304+0.001564 test-mlogloss:1.105716+0.035178
## [195] train-mlogloss:0.028091+0.001557 test-mlogloss:1.107464+0.035040
## [196] train-mlogloss:0.027944+0.001622 test-mlogloss:1.108578+0.034899
## [197] train-mlogloss:0.027672+0.001585 test-mlogloss:1.110721+0.035915
## [198] train-mlogloss:0.027360+0.001521 test-mlogloss:1.111579+0.036059
## [199] train-mlogloss:0.027007+0.001491 test-mlogloss:1.113471+0.035891
## [200] train-mlogloss:0.026641+0.001421 test-mlogloss:1.115155+0.034563
## [201] train-mlogloss:0.026386+0.001363 test-mlogloss:1.116721+0.034641
## [202] train-mlogloss:0.026197+0.001349 test-mlogloss:1.117906+0.035448
## [203] train-mlogloss:0.025999+0.001381 test-mlogloss:1.119826+0.035411
## [204] train-mlogloss:0.025731+0.001372 test-mlogloss:1.122296+0.035143
## [205] train-mlogloss:0.025466+0.001368 test-mlogloss:1.124329+0.034102
## [206] train-mlogloss:0.025233+0.001356 test-mlogloss:1.125997+0.034338
## [207] train-mlogloss:0.025028+0.001284 test-mlogloss:1.126978+0.034388
## [208] train-mlogloss:0.024808+0.001295 test-mlogloss:1.127705+0.034365
## [209] train-mlogloss:0.024579+0.001260 test-mlogloss:1.130193+0.034448
## [210] train-mlogloss:0.024398+0.001245 test-mlogloss:1.131358+0.033200
## [211] train-mlogloss:0.024174+0.001171 test-mlogloss:1.133917+0.033888
## [212] train-mlogloss:0.023972+0.001150 test-mlogloss:1.134441+0.033061
## [213] train-mlogloss:0.023676+0.001088 test-mlogloss:1.136874+0.031720
## [214] train-mlogloss:0.023470+0.001021 test-mlogloss:1.137295+0.032579
## [215] train-mlogloss:0.023213+0.000986 test-mlogloss:1.137764+0.033249
## [216] train-mlogloss:0.023026+0.000970 test-mlogloss:1.138451+0.033663
## [217] train-mlogloss:0.022892+0.000983 test-mlogloss:1.140014+0.034296
## [218] train-mlogloss:0.022629+0.000957 test-mlogloss:1.140644+0.034273
## [219] train-mlogloss:0.022418+0.000945 test-mlogloss:1.144209+0.035351
## [220] train-mlogloss:0.022208+0.000901 test-mlogloss:1.144375+0.034798
## [221] train-mlogloss:0.022046+0.000804 test-mlogloss:1.144655+0.034998
## [222] train-mlogloss:0.021818+0.000742 test-mlogloss:1.145740+0.033292
## [223] train-mlogloss:0.021673+0.000797 test-mlogloss:1.146942+0.034189
## [224] train-mlogloss:0.021535+0.000808 test-mlogloss:1.147715+0.034009
## [225] train-mlogloss:0.021367+0.000808 test-mlogloss:1.149824+0.034041
## [226] train-mlogloss:0.021150+0.000788 test-mlogloss:1.151047+0.035107
## [227] train-mlogloss:0.020969+0.000817 test-mlogloss:1.151238+0.035068
## [228] train-mlogloss:0.020785+0.000790 test-mlogloss:1.153693+0.034660
## [229] train-mlogloss:0.020605+0.000754 test-mlogloss:1.155086+0.034529
## [230] train-mlogloss:0.020472+0.000723 test-mlogloss:1.156112+0.033600
## [231] train-mlogloss:0.020239+0.000676 test-mlogloss:1.158278+0.032911
## [232] train-mlogloss:0.020072+0.000654 test-mlogloss:1.159078+0.033665
## [233] train-mlogloss:0.019943+0.000683 test-mlogloss:1.159308+0.034459
## [234] train-mlogloss:0.019760+0.000620 test-mlogloss:1.161501+0.034679
## [235] train-mlogloss:0.019616+0.000610 test-mlogloss:1.162770+0.033500
## [236] train-mlogloss:0.019458+0.000608 test-mlogloss:1.163971+0.033692
## [237] train-mlogloss:0.019335+0.000599 test-mlogloss:1.164411+0.033064
## [238] train-mlogloss:0.019178+0.000514 test-mlogloss:1.165380+0.033555
## [239] train-mlogloss:0.019014+0.000474 test-mlogloss:1.167316+0.034233
## [240] train-mlogloss:0.018852+0.000504 test-mlogloss:1.168249+0.035226
## [241] train-mlogloss:0.018679+0.000503 test-mlogloss:1.170290+0.035570
## [242] train-mlogloss:0.018547+0.000484 test-mlogloss:1.172082+0.035394
## [243] train-mlogloss:0.018404+0.000475 test-mlogloss:1.174311+0.035979
## [244] train-mlogloss:0.018237+0.000487 test-mlogloss:1.175753+0.035198
## [245] train-mlogloss:0.018070+0.000475 test-mlogloss:1.176990+0.034876
## [246] train-mlogloss:0.017921+0.000464 test-mlogloss:1.177954+0.033961
## [247] train-mlogloss:0.017786+0.000503 test-mlogloss:1.180131+0.033425
## [248] train-mlogloss:0.017647+0.000482 test-mlogloss:1.180403+0.033968
## [249] train-mlogloss:0.017512+0.000500 test-mlogloss:1.180729+0.034875
## [250] train-mlogloss:0.017364+0.000503 test-mlogloss:1.182242+0.034106
## [251] train-mlogloss:0.017250+0.000527 test-mlogloss:1.184587+0.034435
## [252] train-mlogloss:0.017136+0.000528 test-mlogloss:1.185164+0.033975
## [253] train-mlogloss:0.017034+0.000530 test-mlogloss:1.185699+0.034255
## [254] train-mlogloss:0.016935+0.000562 test-mlogloss:1.185911+0.034621
## [255] train-mlogloss:0.016836+0.000583 test-mlogloss:1.187098+0.034717
## [256] train-mlogloss:0.016729+0.000585 test-mlogloss:1.187439+0.034938
## [257] train-mlogloss:0.016592+0.000551 test-mlogloss:1.189669+0.035662
## [258] train-mlogloss:0.016481+0.000544 test-mlogloss:1.190626+0.036415
## [259] train-mlogloss:0.016346+0.000532 test-mlogloss:1.192895+0.038016
## [260] train-mlogloss:0.016239+0.000532 test-mlogloss:1.193084+0.037691
## [261] train-mlogloss:0.016149+0.000499 test-mlogloss:1.194154+0.038276
## [262] train-mlogloss:0.016000+0.000520 test-mlogloss:1.194587+0.037993
## [263] train-mlogloss:0.015932+0.000543 test-mlogloss:1.194945+0.038397
## [264] train-mlogloss:0.015839+0.000575 test-mlogloss:1.196752+0.038441
## [265] train-mlogloss:0.015766+0.000572 test-mlogloss:1.197553+0.037959
## [266] train-mlogloss:0.015653+0.000581 test-mlogloss:1.198082+0.038598
## [267] train-mlogloss:0.015520+0.000531 test-mlogloss:1.200756+0.040033
## [268] train-mlogloss:0.015425+0.000510 test-mlogloss:1.201412+0.040348
## [269] train-mlogloss:0.015300+0.000500 test-mlogloss:1.201345+0.039571
## [270] train-mlogloss:0.015212+0.000518 test-mlogloss:1.202321+0.038790
## [271] train-mlogloss:0.015097+0.000531 test-mlogloss:1.202622+0.039088
## [272] train-mlogloss:0.014956+0.000498 test-mlogloss:1.203922+0.039253
## [273] train-mlogloss:0.014840+0.000428 test-mlogloss:1.204899+0.039894
## [274] train-mlogloss:0.014742+0.000402 test-mlogloss:1.205903+0.040209
## [275] train-mlogloss:0.014663+0.000389 test-mlogloss:1.207433+0.040368
## [276] train-mlogloss:0.014563+0.000391 test-mlogloss:1.208455+0.039827
## [277] train-mlogloss:0.014474+0.000415 test-mlogloss:1.209981+0.039285
## [278] train-mlogloss:0.014366+0.000433 test-mlogloss:1.209731+0.039317
## [279] train-mlogloss:0.014296+0.000440 test-mlogloss:1.210613+0.037977
## [280] train-mlogloss:0.014222+0.000417 test-mlogloss:1.211449+0.038071
## [281] train-mlogloss:0.014164+0.000419 test-mlogloss:1.211596+0.037618
## [282] train-mlogloss:0.014082+0.000439 test-mlogloss:1.212465+0.036997
## [283] train-mlogloss:0.013963+0.000439 test-mlogloss:1.213922+0.036932
## [284] train-mlogloss:0.013894+0.000441 test-mlogloss:1.215277+0.037379
## [285] train-mlogloss:0.013804+0.000458 test-mlogloss:1.215994+0.036894
## [286] train-mlogloss:0.013687+0.000452 test-mlogloss:1.217926+0.035822
## [287] train-mlogloss:0.013577+0.000446 test-mlogloss:1.218372+0.036614
## [288] train-mlogloss:0.013488+0.000433 test-mlogloss:1.219119+0.036711
## [289] train-mlogloss:0.013384+0.000382 test-mlogloss:1.219166+0.036254
## [290] train-mlogloss:0.013310+0.000356 test-mlogloss:1.221472+0.037111
## [291] train-mlogloss:0.013236+0.000337 test-mlogloss:1.222174+0.037297
## [292] train-mlogloss:0.013173+0.000340 test-mlogloss:1.221293+0.038031
## [293] train-mlogloss:0.013114+0.000338 test-mlogloss:1.221963+0.037524
## [294] train-mlogloss:0.013040+0.000329 test-mlogloss:1.224163+0.036898
## [295] train-mlogloss:0.012955+0.000306 test-mlogloss:1.225403+0.037282
## [296] train-mlogloss:0.012860+0.000287 test-mlogloss:1.226369+0.037170
## [297] train-mlogloss:0.012796+0.000275 test-mlogloss:1.227563+0.036594
## [298] train-mlogloss:0.012722+0.000265 test-mlogloss:1.228671+0.035416
## [299] train-mlogloss:0.012635+0.000232 test-mlogloss:1.230059+0.034760
## [300] train-mlogloss:0.012574+0.000233 test-mlogloss:1.230403+0.034649
## [301] train-mlogloss:0.012515+0.000234 test-mlogloss:1.230878+0.034206
## [302] train-mlogloss:0.012466+0.000239 test-mlogloss:1.231564+0.034415
## [303] train-mlogloss:0.012388+0.000271 test-mlogloss:1.232287+0.033816
## [304] train-mlogloss:0.012330+0.000271 test-mlogloss:1.233362+0.035075
## [305] train-mlogloss:0.012262+0.000264 test-mlogloss:1.234737+0.036044
## [306] train-mlogloss:0.012202+0.000262 test-mlogloss:1.234686+0.036924
## [307] train-mlogloss:0.012137+0.000276 test-mlogloss:1.235327+0.037756
## [308] train-mlogloss:0.012079+0.000268 test-mlogloss:1.236060+0.037793
## [309] train-mlogloss:0.012011+0.000280 test-mlogloss:1.236649+0.037565
## [310] train-mlogloss:0.011945+0.000295 test-mlogloss:1.236950+0.037138
## [311] train-mlogloss:0.011853+0.000315 test-mlogloss:1.237793+0.036050
## [312] train-mlogloss:0.011782+0.000299 test-mlogloss:1.239493+0.036753
## [313] train-mlogloss:0.011715+0.000302 test-mlogloss:1.240931+0.037156
## [314] train-mlogloss:0.011667+0.000319 test-mlogloss:1.242001+0.036588
## [315] train-mlogloss:0.011620+0.000334 test-mlogloss:1.242515+0.035479
## [316] train-mlogloss:0.011536+0.000348 test-mlogloss:1.244319+0.035879
## [317] train-mlogloss:0.011453+0.000349 test-mlogloss:1.245470+0.035337
## [318] train-mlogloss:0.011383+0.000339 test-mlogloss:1.246604+0.034994
## [319] train-mlogloss:0.011310+0.000330 test-mlogloss:1.247762+0.035739
## [320] train-mlogloss:0.011234+0.000326 test-mlogloss:1.249372+0.035516
## [321] train-mlogloss:0.011181+0.000320 test-mlogloss:1.249535+0.035007
## [322] train-mlogloss:0.011125+0.000325 test-mlogloss:1.250112+0.034653
## [323] train-mlogloss:0.011070+0.000314 test-mlogloss:1.250551+0.035647
## [324] train-mlogloss:0.011002+0.000298 test-mlogloss:1.251671+0.035133
## [325] train-mlogloss:0.010969+0.000299 test-mlogloss:1.251233+0.035708
## [326] train-mlogloss:0.010909+0.000316 test-mlogloss:1.252111+0.035944
## [327] train-mlogloss:0.010837+0.000303 test-mlogloss:1.252986+0.036485
## [328] train-mlogloss:0.010791+0.000303 test-mlogloss:1.254330+0.036197
## [329] train-mlogloss:0.010759+0.000306 test-mlogloss:1.254350+0.036421
## [330] train-mlogloss:0.010716+0.000314 test-mlogloss:1.255317+0.036661
## [331] train-mlogloss:0.010676+0.000306 test-mlogloss:1.256563+0.036679
## [332] train-mlogloss:0.010636+0.000309 test-mlogloss:1.257091+0.037063
## [333] train-mlogloss:0.010594+0.000295 test-mlogloss:1.257301+0.037073
## [334] train-mlogloss:0.010544+0.000306 test-mlogloss:1.258681+0.036650
## [335] train-mlogloss:0.010493+0.000298 test-mlogloss:1.259519+0.037810
## [336] train-mlogloss:0.010433+0.000291 test-mlogloss:1.260428+0.038047
## [337] train-mlogloss:0.010393+0.000291 test-mlogloss:1.260446+0.037273
## [338] train-mlogloss:0.010345+0.000289 test-mlogloss:1.260669+0.037367
## [339] train-mlogloss:0.010303+0.000281 test-mlogloss:1.261073+0.037394
## [340] train-mlogloss:0.010262+0.000272 test-mlogloss:1.262603+0.037589
## [341] train-mlogloss:0.010225+0.000277 test-mlogloss:1.262951+0.037466
## [342] train-mlogloss:0.010179+0.000267 test-mlogloss:1.263252+0.037590
## [343] train-mlogloss:0.010128+0.000267 test-mlogloss:1.264196+0.038526
## [344] train-mlogloss:0.010094+0.000274 test-mlogloss:1.264513+0.039175
## [345] train-mlogloss:0.010051+0.000279 test-mlogloss:1.265634+0.039638
## [346] train-mlogloss:0.010013+0.000280 test-mlogloss:1.266281+0.039935
## [347] train-mlogloss:0.009980+0.000277 test-mlogloss:1.266071+0.039878
## [348] train-mlogloss:0.009937+0.000269 test-mlogloss:1.267370+0.040565
## [349] train-mlogloss:0.009885+0.000265 test-mlogloss:1.267674+0.039869
## [350] train-mlogloss:0.009834+0.000274 test-mlogloss:1.268334+0.039769
## [351] train-mlogloss:0.009782+0.000272 test-mlogloss:1.268086+0.038524
## [352] train-mlogloss:0.009720+0.000256 test-mlogloss:1.269509+0.038628
## [353] train-mlogloss:0.009669+0.000246 test-mlogloss:1.270403+0.038710
## [354] train-mlogloss:0.009624+0.000224 test-mlogloss:1.271400+0.038635
## [355] train-mlogloss:0.009592+0.000221 test-mlogloss:1.272484+0.038857
## [356] train-mlogloss:0.009527+0.000220 test-mlogloss:1.274193+0.039711
## [357] train-mlogloss:0.009485+0.000222 test-mlogloss:1.274692+0.039129
## [358] train-mlogloss:0.009438+0.000217 test-mlogloss:1.275505+0.038812
## [359] train-mlogloss:0.009401+0.000210 test-mlogloss:1.275831+0.039031
## [360] train-mlogloss:0.009363+0.000211 test-mlogloss:1.276622+0.039439
## [361] train-mlogloss:0.009322+0.000209 test-mlogloss:1.276483+0.039762
## [362] train-mlogloss:0.009276+0.000209 test-mlogloss:1.276670+0.040018
## [363] train-mlogloss:0.009251+0.000205 test-mlogloss:1.277569+0.040641
## [364] train-mlogloss:0.009214+0.000198 test-mlogloss:1.277608+0.039728
## [365] train-mlogloss:0.009168+0.000179 test-mlogloss:1.278439+0.040079
## [366] train-mlogloss:0.009129+0.000183 test-mlogloss:1.279959+0.039610
## [367] train-mlogloss:0.009080+0.000169 test-mlogloss:1.282384+0.039536
## [368] train-mlogloss:0.009031+0.000168 test-mlogloss:1.283269+0.039979
## [369] train-mlogloss:0.008982+0.000167 test-mlogloss:1.283866+0.040855
## [370] train-mlogloss:0.008937+0.000171 test-mlogloss:1.284775+0.041306
## [371] train-mlogloss:0.008904+0.000177 test-mlogloss:1.285017+0.040516
## [372] train-mlogloss:0.008874+0.000170 test-mlogloss:1.285648+0.039708
## [373] train-mlogloss:0.008837+0.000176 test-mlogloss:1.285958+0.039322
## [374] train-mlogloss:0.008796+0.000190 test-mlogloss:1.286041+0.038905
## [375] train-mlogloss:0.008772+0.000193 test-mlogloss:1.286006+0.039356
## [376] train-mlogloss:0.008738+0.000196 test-mlogloss:1.288048+0.039019
## [377] train-mlogloss:0.008705+0.000193 test-mlogloss:1.288465+0.039304
## [378] train-mlogloss:0.008673+0.000192 test-mlogloss:1.289212+0.039296
## [379] train-mlogloss:0.008647+0.000192 test-mlogloss:1.289229+0.038524
## [380] train-mlogloss:0.008605+0.000194 test-mlogloss:1.289622+0.038907
## [381] train-mlogloss:0.008564+0.000194 test-mlogloss:1.291199+0.038383
## [382] train-mlogloss:0.008533+0.000197 test-mlogloss:1.292297+0.037254
## [383] train-mlogloss:0.008490+0.000202 test-mlogloss:1.293877+0.038166
## [384] train-mlogloss:0.008459+0.000194 test-mlogloss:1.294677+0.038140
## [385] train-mlogloss:0.008419+0.000202 test-mlogloss:1.295040+0.038257
## [386] train-mlogloss:0.008387+0.000199 test-mlogloss:1.295068+0.037748
## [387] train-mlogloss:0.008362+0.000200 test-mlogloss:1.295302+0.038093
## [388] train-mlogloss:0.008325+0.000198 test-mlogloss:1.295830+0.038695
## [389] train-mlogloss:0.008303+0.000187 test-mlogloss:1.296170+0.038769
## [390] train-mlogloss:0.008267+0.000185 test-mlogloss:1.296953+0.038386
## [391] train-mlogloss:0.008233+0.000183 test-mlogloss:1.296577+0.037407
## [392] train-mlogloss:0.008205+0.000190 test-mlogloss:1.297128+0.036875
## [393] train-mlogloss:0.008165+0.000195 test-mlogloss:1.297560+0.037123
## [394] train-mlogloss:0.008139+0.000196 test-mlogloss:1.297845+0.036593
## [395] train-mlogloss:0.008113+0.000200 test-mlogloss:1.298374+0.035781
## [396] train-mlogloss:0.008077+0.000204 test-mlogloss:1.298970+0.034510
## [397] train-mlogloss:0.008051+0.000205 test-mlogloss:1.299520+0.035064
## [398] train-mlogloss:0.008019+0.000206 test-mlogloss:1.300185+0.035754
## [399] train-mlogloss:0.007995+0.000212 test-mlogloss:1.300653+0.036557
## [400] train-mlogloss:0.007971+0.000210 test-mlogloss:1.301656+0.036972
## [401] train-mlogloss:0.007946+0.000205 test-mlogloss:1.302038+0.037286
## [402] train-mlogloss:0.007913+0.000204 test-mlogloss:1.302619+0.037676
## [403] train-mlogloss:0.007888+0.000205 test-mlogloss:1.303247+0.037442
## [404] train-mlogloss:0.007858+0.000211 test-mlogloss:1.304438+0.036686
## [405] train-mlogloss:0.007838+0.000216 test-mlogloss:1.305349+0.037306
## [406] train-mlogloss:0.007809+0.000221 test-mlogloss:1.306343+0.037306
## [407] train-mlogloss:0.007778+0.000225 test-mlogloss:1.306813+0.037145
## [408] train-mlogloss:0.007755+0.000222 test-mlogloss:1.306516+0.036717
## [409] train-mlogloss:0.007724+0.000218 test-mlogloss:1.307108+0.038090
## [410] train-mlogloss:0.007681+0.000227 test-mlogloss:1.307647+0.037969
## [411] train-mlogloss:0.007650+0.000229 test-mlogloss:1.308193+0.038044
## [412] train-mlogloss:0.007622+0.000236 test-mlogloss:1.308349+0.037178
## [413] train-mlogloss:0.007590+0.000228 test-mlogloss:1.308968+0.036104
## [414] train-mlogloss:0.007560+0.000226 test-mlogloss:1.309724+0.036743
## [415] train-mlogloss:0.007533+0.000224 test-mlogloss:1.310039+0.036361
## [416] train-mlogloss:0.007509+0.000221 test-mlogloss:1.310518+0.035875
## [417] train-mlogloss:0.007484+0.000219 test-mlogloss:1.311762+0.036014
## [418] train-mlogloss:0.007451+0.000222 test-mlogloss:1.312097+0.035208
## [419] train-mlogloss:0.007416+0.000210 test-mlogloss:1.312705+0.035032
## [420] train-mlogloss:0.007390+0.000204 test-mlogloss:1.313435+0.035067
## [421] train-mlogloss:0.007358+0.000208 test-mlogloss:1.314296+0.034410
## [422] train-mlogloss:0.007325+0.000202 test-mlogloss:1.315358+0.034658
## [423] train-mlogloss:0.007297+0.000201 test-mlogloss:1.316428+0.034746
## [424] train-mlogloss:0.007276+0.000199 test-mlogloss:1.316655+0.034676
## [425] train-mlogloss:0.007249+0.000191 test-mlogloss:1.317010+0.034635
## [426] train-mlogloss:0.007221+0.000194 test-mlogloss:1.316763+0.034357
## [427] train-mlogloss:0.007196+0.000190 test-mlogloss:1.317368+0.034321
## [428] train-mlogloss:0.007171+0.000190 test-mlogloss:1.318022+0.035668
## [429] train-mlogloss:0.007147+0.000191 test-mlogloss:1.318661+0.036235
## [430] train-mlogloss:0.007132+0.000188 test-mlogloss:1.318409+0.035890
## [431] train-mlogloss:0.007112+0.000190 test-mlogloss:1.318755+0.035812
## [432] train-mlogloss:0.007087+0.000185 test-mlogloss:1.319580+0.035971
## [433] train-mlogloss:0.007065+0.000186 test-mlogloss:1.319011+0.035470
## [434] train-mlogloss:0.007042+0.000192 test-mlogloss:1.320309+0.036503
## [435] train-mlogloss:0.007025+0.000197 test-mlogloss:1.320937+0.036517
## [436] train-mlogloss:0.007001+0.000199 test-mlogloss:1.320810+0.036233
## [437] train-mlogloss:0.006978+0.000190 test-mlogloss:1.321622+0.036851
## [438] train-mlogloss:0.006950+0.000176 test-mlogloss:1.322116+0.037007
## [439] train-mlogloss:0.006925+0.000175 test-mlogloss:1.322869+0.037019
## [440] train-mlogloss:0.006903+0.000179 test-mlogloss:1.323827+0.037450
## [441] train-mlogloss:0.006880+0.000178 test-mlogloss:1.323794+0.037789
## [442] train-mlogloss:0.006857+0.000176 test-mlogloss:1.323343+0.037898
## [443] train-mlogloss:0.006835+0.000175 test-mlogloss:1.323960+0.037672
## [444] train-mlogloss:0.006809+0.000172 test-mlogloss:1.325226+0.037504
## [445] train-mlogloss:0.006784+0.000173 test-mlogloss:1.325797+0.037539
## [446] train-mlogloss:0.006762+0.000170 test-mlogloss:1.325812+0.037487
## [447] train-mlogloss:0.006741+0.000170 test-mlogloss:1.326725+0.036937
## [448] train-mlogloss:0.006717+0.000161 test-mlogloss:1.327341+0.037492
## [449] train-mlogloss:0.006694+0.000170 test-mlogloss:1.328474+0.038056
## [450] train-mlogloss:0.006673+0.000168 test-mlogloss:1.328981+0.037796
## [451] train-mlogloss:0.006655+0.000167 test-mlogloss:1.329499+0.037049
## [452] train-mlogloss:0.006636+0.000172 test-mlogloss:1.330121+0.036817
## [453] train-mlogloss:0.006609+0.000169 test-mlogloss:1.330808+0.036132
## [454] train-mlogloss:0.006588+0.000170 test-mlogloss:1.330883+0.037235
## [455] train-mlogloss:0.006564+0.000169 test-mlogloss:1.332033+0.038331
## [456] train-mlogloss:0.006546+0.000166 test-mlogloss:1.331968+0.038346
## [457] train-mlogloss:0.006529+0.000164 test-mlogloss:1.332161+0.038078
## [458] train-mlogloss:0.006506+0.000164 test-mlogloss:1.331782+0.038490
## [459] train-mlogloss:0.006486+0.000161 test-mlogloss:1.331666+0.038370
## [460] train-mlogloss:0.006467+0.000165 test-mlogloss:1.332128+0.037957
## [461] train-mlogloss:0.006449+0.000159 test-mlogloss:1.332436+0.037046
## [462] train-mlogloss:0.006428+0.000157 test-mlogloss:1.332859+0.037398
## [463] train-mlogloss:0.006409+0.000163 test-mlogloss:1.333668+0.037867
## [464] train-mlogloss:0.006391+0.000156 test-mlogloss:1.334286+0.037908
## [465] train-mlogloss:0.006369+0.000156 test-mlogloss:1.334905+0.037853
## [466] train-mlogloss:0.006351+0.000157 test-mlogloss:1.335491+0.039238
## [467] train-mlogloss:0.006330+0.000155 test-mlogloss:1.335650+0.038655
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## [469] train-mlogloss:0.006300+0.000148 test-mlogloss:1.336593+0.037984
## [470] train-mlogloss:0.006283+0.000152 test-mlogloss:1.337078+0.038040
## [471] train-mlogloss:0.006266+0.000152 test-mlogloss:1.337565+0.038777
## [472] train-mlogloss:0.006251+0.000154 test-mlogloss:1.338038+0.038536
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## [474] train-mlogloss:0.006210+0.000148 test-mlogloss:1.338279+0.038043
## [475] train-mlogloss:0.006190+0.000153 test-mlogloss:1.339270+0.038141
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## [477] train-mlogloss:0.006150+0.000157 test-mlogloss:1.339073+0.039071
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## [479] train-mlogloss:0.006114+0.000156 test-mlogloss:1.340710+0.040257
## [480] train-mlogloss:0.006097+0.000155 test-mlogloss:1.341467+0.039775
## [481] train-mlogloss:0.006082+0.000157 test-mlogloss:1.341400+0.040554
## [482] train-mlogloss:0.006062+0.000154 test-mlogloss:1.342413+0.039829
## [483] train-mlogloss:0.006048+0.000156 test-mlogloss:1.342515+0.039568
## [484] train-mlogloss:0.006031+0.000158 test-mlogloss:1.343309+0.038849
## [485] train-mlogloss:0.006014+0.000158 test-mlogloss:1.344106+0.038768
## [486] train-mlogloss:0.006001+0.000162 test-mlogloss:1.344844+0.038072
## [487] train-mlogloss:0.005985+0.000160 test-mlogloss:1.345664+0.038259
## [488] train-mlogloss:0.005964+0.000156 test-mlogloss:1.345735+0.038550
## [489] train-mlogloss:0.005950+0.000154 test-mlogloss:1.346586+0.038649
## [490] train-mlogloss:0.005936+0.000152 test-mlogloss:1.347101+0.038352
## [491] train-mlogloss:0.005918+0.000155 test-mlogloss:1.347382+0.038299
## [492] train-mlogloss:0.005902+0.000156 test-mlogloss:1.348004+0.038434
## [493] train-mlogloss:0.005887+0.000151 test-mlogloss:1.348098+0.038368
## [494] train-mlogloss:0.005869+0.000147 test-mlogloss:1.349393+0.038767
## [495] train-mlogloss:0.005858+0.000142 test-mlogloss:1.349336+0.038286
## [496] train-mlogloss:0.005846+0.000140 test-mlogloss:1.349388+0.038616
## [497] train-mlogloss:0.005835+0.000140 test-mlogloss:1.349837+0.038279
## [498] train-mlogloss:0.005818+0.000138 test-mlogloss:1.350917+0.037669
## [499] train-mlogloss:0.005800+0.000137 test-mlogloss:1.351162+0.037347
## [500] train-mlogloss:0.005784+0.000136 test-mlogloss:1.351386+0.036899
## [1] train-mlogloss:0.371175+0.004357 test-mlogloss:0.649781+0.022365
## [2] train-mlogloss:0.254231+0.003975 test-mlogloss:0.703436+0.026294
## [3] train-mlogloss:0.184613+0.002366 test-mlogloss:0.746445+0.032088
## [4] train-mlogloss:0.144049+0.007421 test-mlogloss:0.783269+0.046598
## [5] train-mlogloss:0.118662+0.007578 test-mlogloss:0.810233+0.048909
## [6] train-mlogloss:0.096475+0.005302 test-mlogloss:0.835416+0.050097
## [7] train-mlogloss:0.081191+0.003655 test-mlogloss:0.857251+0.048457
## [8] train-mlogloss:0.069957+0.002280 test-mlogloss:0.874400+0.048820
## [9] train-mlogloss:0.061042+0.002012 test-mlogloss:0.885979+0.051223
## [10] train-mlogloss:0.055239+0.002761 test-mlogloss:0.899787+0.053813
## [11] train-mlogloss:0.049661+0.002184 test-mlogloss:0.912702+0.057233
## [12] train-mlogloss:0.045202+0.002101 test-mlogloss:0.923430+0.056834
## [13] train-mlogloss:0.042123+0.002124 test-mlogloss:0.932890+0.058851
## [14] train-mlogloss:0.038970+0.001880 test-mlogloss:0.941265+0.061385
## [15] train-mlogloss:0.036044+0.001747 test-mlogloss:0.951375+0.061223
## [16] train-mlogloss:0.033618+0.001597 test-mlogloss:0.961217+0.060308
## [17] train-mlogloss:0.031551+0.001456 test-mlogloss:0.968413+0.061207
## [18] train-mlogloss:0.029822+0.001348 test-mlogloss:0.972436+0.061513
## [19] train-mlogloss:0.028213+0.001177 test-mlogloss:0.980689+0.062834
## [20] train-mlogloss:0.026765+0.001168 test-mlogloss:0.984959+0.061834
## [21] train-mlogloss:0.025419+0.001031 test-mlogloss:0.990450+0.062715
## [22] train-mlogloss:0.024246+0.000964 test-mlogloss:0.994918+0.063095
## [23] train-mlogloss:0.023198+0.000899 test-mlogloss:0.999059+0.063584
## [24] train-mlogloss:0.022249+0.000840 test-mlogloss:1.002459+0.064842
## [25] train-mlogloss:0.021346+0.000827 test-mlogloss:1.009141+0.063401
## [26] train-mlogloss:0.020509+0.000768 test-mlogloss:1.013170+0.062029
## [27] train-mlogloss:0.019773+0.000693 test-mlogloss:1.018012+0.062190
## [28] train-mlogloss:0.019079+0.000656 test-mlogloss:1.021016+0.062791
## [29] train-mlogloss:0.018457+0.000622 test-mlogloss:1.024628+0.063972
## [30] train-mlogloss:0.017887+0.000586 test-mlogloss:1.027775+0.064311
## [31] train-mlogloss:0.017366+0.000532 test-mlogloss:1.032831+0.066536
## [32] train-mlogloss:0.016865+0.000498 test-mlogloss:1.039793+0.066579
## [33] train-mlogloss:0.016389+0.000459 test-mlogloss:1.043057+0.065938
## [34] train-mlogloss:0.015949+0.000454 test-mlogloss:1.045230+0.066574
## [35] train-mlogloss:0.015560+0.000441 test-mlogloss:1.045838+0.066736
## [36] train-mlogloss:0.015158+0.000432 test-mlogloss:1.048644+0.067785
## [37] train-mlogloss:0.014785+0.000413 test-mlogloss:1.051922+0.069509
## [38] train-mlogloss:0.014427+0.000383 test-mlogloss:1.054459+0.068518
## [39] train-mlogloss:0.014103+0.000367 test-mlogloss:1.055768+0.069041
## [40] train-mlogloss:0.013802+0.000363 test-mlogloss:1.058602+0.072047
## [41] train-mlogloss:0.013501+0.000340 test-mlogloss:1.062853+0.071287
## [42] train-mlogloss:0.013222+0.000321 test-mlogloss:1.064782+0.073982
## [43] train-mlogloss:0.012963+0.000323 test-mlogloss:1.066320+0.074623
## [44] train-mlogloss:0.012703+0.000301 test-mlogloss:1.068685+0.074975
## [45] train-mlogloss:0.012467+0.000288 test-mlogloss:1.069147+0.074133
## [46] train-mlogloss:0.012248+0.000266 test-mlogloss:1.071748+0.075296
## [47] train-mlogloss:0.012015+0.000262 test-mlogloss:1.072645+0.074216
## [48] train-mlogloss:0.011806+0.000245 test-mlogloss:1.074217+0.075794
## [49] train-mlogloss:0.011600+0.000238 test-mlogloss:1.077534+0.074956
## [50] train-mlogloss:0.011402+0.000236 test-mlogloss:1.079018+0.075346
## [51] train-mlogloss:0.011218+0.000236 test-mlogloss:1.081232+0.075484
## [52] train-mlogloss:0.011036+0.000230 test-mlogloss:1.084476+0.076340
## [53] train-mlogloss:0.010860+0.000218 test-mlogloss:1.085441+0.075153
## [54] train-mlogloss:0.010697+0.000215 test-mlogloss:1.086634+0.074799
## [55] train-mlogloss:0.010547+0.000215 test-mlogloss:1.088220+0.076039
## [56] train-mlogloss:0.010392+0.000198 test-mlogloss:1.091372+0.076400
## [57] train-mlogloss:0.010237+0.000185 test-mlogloss:1.093215+0.077393
## [58] train-mlogloss:0.010090+0.000177 test-mlogloss:1.093899+0.076714
## [59] train-mlogloss:0.009967+0.000171 test-mlogloss:1.095811+0.075132
## [60] train-mlogloss:0.009844+0.000168 test-mlogloss:1.096027+0.074746
## [61] train-mlogloss:0.009716+0.000167 test-mlogloss:1.098043+0.075706
## [62] train-mlogloss:0.009599+0.000163 test-mlogloss:1.100681+0.076731
## [63] train-mlogloss:0.009479+0.000158 test-mlogloss:1.101908+0.075804
## [64] train-mlogloss:0.009363+0.000153 test-mlogloss:1.105366+0.075315
## [65] train-mlogloss:0.009255+0.000150 test-mlogloss:1.107827+0.075007
## [66] train-mlogloss:0.009148+0.000145 test-mlogloss:1.108125+0.074925
## [67] train-mlogloss:0.009046+0.000143 test-mlogloss:1.110513+0.073898
## [68] train-mlogloss:0.008944+0.000146 test-mlogloss:1.111507+0.075992
## [69] train-mlogloss:0.008842+0.000149 test-mlogloss:1.112198+0.076662
## [70] train-mlogloss:0.008745+0.000147 test-mlogloss:1.111586+0.076235
## [71] train-mlogloss:0.008653+0.000142 test-mlogloss:1.112539+0.076002
## [72] train-mlogloss:0.008564+0.000138 test-mlogloss:1.114264+0.076465
## [73] train-mlogloss:0.008476+0.000135 test-mlogloss:1.116763+0.075804
## [74] train-mlogloss:0.008390+0.000132 test-mlogloss:1.118315+0.078913
## [75] train-mlogloss:0.008303+0.000123 test-mlogloss:1.119740+0.079580
## [76] train-mlogloss:0.008221+0.000124 test-mlogloss:1.120160+0.078920
## [77] train-mlogloss:0.008136+0.000118 test-mlogloss:1.121399+0.079056
## [78] train-mlogloss:0.008054+0.000118 test-mlogloss:1.122642+0.079055
## [79] train-mlogloss:0.007975+0.000121 test-mlogloss:1.124054+0.078478
## [80] train-mlogloss:0.007894+0.000118 test-mlogloss:1.125883+0.078905
## [81] train-mlogloss:0.007819+0.000115 test-mlogloss:1.126527+0.079729
## [82] train-mlogloss:0.007746+0.000110 test-mlogloss:1.126691+0.079599
## [83] train-mlogloss:0.007674+0.000107 test-mlogloss:1.127137+0.079732
## [84] train-mlogloss:0.007600+0.000108 test-mlogloss:1.128529+0.078905
## [85] train-mlogloss:0.007536+0.000105 test-mlogloss:1.130466+0.078974
## [86] train-mlogloss:0.007470+0.000104 test-mlogloss:1.132164+0.080318
## [87] train-mlogloss:0.007409+0.000100 test-mlogloss:1.133959+0.079960
## [88] train-mlogloss:0.007344+0.000094 test-mlogloss:1.135553+0.080283
## [89] train-mlogloss:0.007284+0.000089 test-mlogloss:1.136463+0.080723
## [90] train-mlogloss:0.007228+0.000089 test-mlogloss:1.137349+0.081491
## [91] train-mlogloss:0.007172+0.000090 test-mlogloss:1.139052+0.081155
## [92] train-mlogloss:0.007112+0.000090 test-mlogloss:1.139578+0.081432
## [93] train-mlogloss:0.007058+0.000086 test-mlogloss:1.141765+0.082080
## [94] train-mlogloss:0.007006+0.000088 test-mlogloss:1.142636+0.082155
## [95] train-mlogloss:0.006954+0.000089 test-mlogloss:1.143149+0.081775
## [96] train-mlogloss:0.006905+0.000083 test-mlogloss:1.144286+0.082814
## [97] train-mlogloss:0.006857+0.000088 test-mlogloss:1.146437+0.083413
## [98] train-mlogloss:0.006807+0.000092 test-mlogloss:1.148245+0.084161
## [99] train-mlogloss:0.006757+0.000093 test-mlogloss:1.148113+0.084028
## [100] train-mlogloss:0.006706+0.000090 test-mlogloss:1.149655+0.084551
## [101] train-mlogloss:0.006657+0.000089 test-mlogloss:1.150706+0.083712
## [102] train-mlogloss:0.006612+0.000089 test-mlogloss:1.151665+0.085089
## [103] train-mlogloss:0.006562+0.000087 test-mlogloss:1.151881+0.084717
## [104] train-mlogloss:0.006520+0.000086 test-mlogloss:1.152289+0.084483
## [105] train-mlogloss:0.006479+0.000082 test-mlogloss:1.152230+0.084304
## [106] train-mlogloss:0.006441+0.000083 test-mlogloss:1.152346+0.083375
## [107] train-mlogloss:0.006403+0.000082 test-mlogloss:1.153707+0.083674
## [108] train-mlogloss:0.006365+0.000079 test-mlogloss:1.154724+0.083845
## [109] train-mlogloss:0.006326+0.000077 test-mlogloss:1.156452+0.084229
## [110] train-mlogloss:0.006284+0.000078 test-mlogloss:1.157156+0.084656
## [111] train-mlogloss:0.006247+0.000080 test-mlogloss:1.157731+0.085130
## [112] train-mlogloss:0.006210+0.000082 test-mlogloss:1.159328+0.086282
## [113] train-mlogloss:0.006168+0.000083 test-mlogloss:1.158674+0.086285
## [114] train-mlogloss:0.006130+0.000080 test-mlogloss:1.160024+0.087227
## [115] train-mlogloss:0.006093+0.000080 test-mlogloss:1.160281+0.087716
## [116] train-mlogloss:0.006057+0.000079 test-mlogloss:1.161172+0.086917
## [117] train-mlogloss:0.006023+0.000077 test-mlogloss:1.161533+0.087058
## [118] train-mlogloss:0.005986+0.000076 test-mlogloss:1.163025+0.086671
## [119] train-mlogloss:0.005954+0.000074 test-mlogloss:1.164148+0.086627
## [120] train-mlogloss:0.005920+0.000072 test-mlogloss:1.164509+0.086373
## [121] train-mlogloss:0.005891+0.000073 test-mlogloss:1.165387+0.086775
## [122] train-mlogloss:0.005860+0.000072 test-mlogloss:1.166755+0.086813
## [123] train-mlogloss:0.005830+0.000069 test-mlogloss:1.168770+0.086987
## [124] train-mlogloss:0.005797+0.000068 test-mlogloss:1.169963+0.086004
## [125] train-mlogloss:0.005767+0.000065 test-mlogloss:1.170100+0.086472
## [126] train-mlogloss:0.005735+0.000064 test-mlogloss:1.169983+0.085652
## [127] train-mlogloss:0.005707+0.000065 test-mlogloss:1.170731+0.084908
## [128] train-mlogloss:0.005677+0.000065 test-mlogloss:1.172144+0.084939
## [129] train-mlogloss:0.005647+0.000066 test-mlogloss:1.173163+0.084966
## [130] train-mlogloss:0.005620+0.000066 test-mlogloss:1.173945+0.085459
## [131] train-mlogloss:0.005590+0.000064 test-mlogloss:1.174850+0.085895
## [132] train-mlogloss:0.005563+0.000064 test-mlogloss:1.175205+0.085706
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## [134] train-mlogloss:0.005508+0.000059 test-mlogloss:1.175649+0.085812
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## [136] train-mlogloss:0.005455+0.000060 test-mlogloss:1.177197+0.086027
## [137] train-mlogloss:0.005427+0.000059 test-mlogloss:1.177978+0.086172
## [138] train-mlogloss:0.005400+0.000056 test-mlogloss:1.178490+0.085824
## [139] train-mlogloss:0.005375+0.000055 test-mlogloss:1.179292+0.085708
## [140] train-mlogloss:0.005349+0.000053 test-mlogloss:1.180307+0.086021
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## [142] train-mlogloss:0.005302+0.000051 test-mlogloss:1.181216+0.086636
## [143] train-mlogloss:0.005279+0.000053 test-mlogloss:1.181698+0.086937
## [144] train-mlogloss:0.005255+0.000050 test-mlogloss:1.182310+0.086603
## [145] train-mlogloss:0.005231+0.000048 test-mlogloss:1.182454+0.086128
## [146] train-mlogloss:0.005208+0.000048 test-mlogloss:1.183614+0.087986
## [147] train-mlogloss:0.005184+0.000046 test-mlogloss:1.184090+0.087428
## [148] train-mlogloss:0.005161+0.000048 test-mlogloss:1.184584+0.087495
## [149] train-mlogloss:0.005140+0.000045 test-mlogloss:1.185548+0.086552
## [150] train-mlogloss:0.005117+0.000042 test-mlogloss:1.185932+0.086610
## [151] train-mlogloss:0.005095+0.000041 test-mlogloss:1.186802+0.086987
## [152] train-mlogloss:0.005076+0.000041 test-mlogloss:1.186921+0.086658
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## [154] train-mlogloss:0.005036+0.000040 test-mlogloss:1.187911+0.087110
## [155] train-mlogloss:0.005019+0.000039 test-mlogloss:1.188307+0.087487
## [156] train-mlogloss:0.005001+0.000040 test-mlogloss:1.189426+0.087543
## [157] train-mlogloss:0.004983+0.000041 test-mlogloss:1.189825+0.087488
## [158] train-mlogloss:0.004963+0.000039 test-mlogloss:1.190072+0.087907
## [159] train-mlogloss:0.004943+0.000037 test-mlogloss:1.190990+0.087894
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## [161] train-mlogloss:0.004905+0.000036 test-mlogloss:1.190924+0.088976
## [162] train-mlogloss:0.004886+0.000037 test-mlogloss:1.191467+0.089555
## [163] train-mlogloss:0.004866+0.000038 test-mlogloss:1.192729+0.089627
## [164] train-mlogloss:0.004846+0.000038 test-mlogloss:1.193358+0.088708
## [165] train-mlogloss:0.004827+0.000038 test-mlogloss:1.194680+0.089319
## [166] train-mlogloss:0.004809+0.000038 test-mlogloss:1.195070+0.089876
## [167] train-mlogloss:0.004791+0.000039 test-mlogloss:1.195199+0.090475
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## [169] train-mlogloss:0.004755+0.000040 test-mlogloss:1.196423+0.090431
## [170] train-mlogloss:0.004738+0.000041 test-mlogloss:1.196731+0.090381
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## [172] train-mlogloss:0.004702+0.000043 test-mlogloss:1.199028+0.090467
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## [175] train-mlogloss:0.004652+0.000040 test-mlogloss:1.199388+0.089480
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## [178] train-mlogloss:0.004604+0.000039 test-mlogloss:1.200546+0.090567
## [179] train-mlogloss:0.004588+0.000037 test-mlogloss:1.200150+0.091060
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## [184] train-mlogloss:0.004508+0.000032 test-mlogloss:1.203236+0.090640
## [185] train-mlogloss:0.004494+0.000031 test-mlogloss:1.203320+0.091212
## [186] train-mlogloss:0.004480+0.000029 test-mlogloss:1.203772+0.091175
## [187] train-mlogloss:0.004466+0.000029 test-mlogloss:1.204514+0.091978
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## [189] train-mlogloss:0.004438+0.000028 test-mlogloss:1.205665+0.092875
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## [191] train-mlogloss:0.004412+0.000031 test-mlogloss:1.206943+0.092586
## [192] train-mlogloss:0.004399+0.000032 test-mlogloss:1.206699+0.092274
## [193] train-mlogloss:0.004385+0.000031 test-mlogloss:1.207170+0.091941
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## [199] train-mlogloss:0.004303+0.000029 test-mlogloss:1.210768+0.092560
## [200] train-mlogloss:0.004291+0.000029 test-mlogloss:1.211217+0.092900
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## [206] train-mlogloss:0.004215+0.000026 test-mlogloss:1.215497+0.092643
## [207] train-mlogloss:0.004203+0.000026 test-mlogloss:1.216676+0.092512
## [208] train-mlogloss:0.004191+0.000027 test-mlogloss:1.217230+0.092751
## [209] train-mlogloss:0.004178+0.000027 test-mlogloss:1.217960+0.092755
## [210] train-mlogloss:0.004167+0.000027 test-mlogloss:1.217812+0.092283
## [211] train-mlogloss:0.004155+0.000027 test-mlogloss:1.217847+0.092310
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## [213] train-mlogloss:0.004132+0.000027 test-mlogloss:1.220073+0.092393
## [214] train-mlogloss:0.004120+0.000028 test-mlogloss:1.219397+0.092924
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## [216] train-mlogloss:0.004098+0.000028 test-mlogloss:1.220615+0.093796
## [217] train-mlogloss:0.004086+0.000029 test-mlogloss:1.221081+0.093633
## [218] train-mlogloss:0.004074+0.000028 test-mlogloss:1.221520+0.092797
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## [226] train-mlogloss:0.003985+0.000028 test-mlogloss:1.226240+0.094435
## [227] train-mlogloss:0.003974+0.000027 test-mlogloss:1.226788+0.094577
## [228] train-mlogloss:0.003964+0.000027 test-mlogloss:1.226639+0.095158
## [229] train-mlogloss:0.003954+0.000027 test-mlogloss:1.226976+0.094989
## [230] train-mlogloss:0.003944+0.000027 test-mlogloss:1.227483+0.094969
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## [232] train-mlogloss:0.003924+0.000027 test-mlogloss:1.228203+0.095580
## [233] train-mlogloss:0.003915+0.000027 test-mlogloss:1.228338+0.095570
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## [237] train-mlogloss:0.003874+0.000026 test-mlogloss:1.229396+0.096572
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## [239] train-mlogloss:0.003858+0.000026 test-mlogloss:1.229326+0.096672
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## [242] train-mlogloss:0.003830+0.000025 test-mlogloss:1.231284+0.096373
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## [247] train-mlogloss:0.003784+0.000024 test-mlogloss:1.231861+0.096497
## [248] train-mlogloss:0.003776+0.000024 test-mlogloss:1.232804+0.096248
## [249] train-mlogloss:0.003767+0.000024 test-mlogloss:1.233655+0.096513
## [250] train-mlogloss:0.003759+0.000023 test-mlogloss:1.233626+0.096046
## [251] train-mlogloss:0.003750+0.000023 test-mlogloss:1.233999+0.095801
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## [254] train-mlogloss:0.003724+0.000023 test-mlogloss:1.234560+0.095211
## [255] train-mlogloss:0.003715+0.000023 test-mlogloss:1.234774+0.095107
## [256] train-mlogloss:0.003707+0.000022 test-mlogloss:1.234855+0.095495
## [257] train-mlogloss:0.003699+0.000021 test-mlogloss:1.234911+0.095357
## [258] train-mlogloss:0.003690+0.000022 test-mlogloss:1.235227+0.095424
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## [260] train-mlogloss:0.003673+0.000021 test-mlogloss:1.236189+0.095462
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## [262] train-mlogloss:0.003658+0.000020 test-mlogloss:1.236655+0.094506
## [263] train-mlogloss:0.003650+0.000022 test-mlogloss:1.237305+0.094948
## [264] train-mlogloss:0.003642+0.000022 test-mlogloss:1.237673+0.095090
## [265] train-mlogloss:0.003633+0.000023 test-mlogloss:1.238096+0.095598
## [266] train-mlogloss:0.003625+0.000023 test-mlogloss:1.239237+0.096285
## [267] train-mlogloss:0.003618+0.000024 test-mlogloss:1.238759+0.096448
## [268] train-mlogloss:0.003610+0.000023 test-mlogloss:1.238931+0.096911
## [269] train-mlogloss:0.003603+0.000023 test-mlogloss:1.239796+0.097226
## [270] train-mlogloss:0.003596+0.000023 test-mlogloss:1.240058+0.097118
## [271] train-mlogloss:0.003588+0.000023 test-mlogloss:1.240236+0.096451
## [272] train-mlogloss:0.003581+0.000023 test-mlogloss:1.240581+0.096441
## [273] train-mlogloss:0.003574+0.000024 test-mlogloss:1.240803+0.097146
## [274] train-mlogloss:0.003568+0.000024 test-mlogloss:1.241271+0.097018
## [275] train-mlogloss:0.003560+0.000024 test-mlogloss:1.241486+0.096142
## [276] train-mlogloss:0.003553+0.000024 test-mlogloss:1.242153+0.096021
## [277] train-mlogloss:0.003547+0.000023 test-mlogloss:1.243112+0.096589
## [278] train-mlogloss:0.003540+0.000024 test-mlogloss:1.243656+0.096705
## [279] train-mlogloss:0.003533+0.000023 test-mlogloss:1.243622+0.096262
## [280] train-mlogloss:0.003526+0.000024 test-mlogloss:1.244485+0.096830
## [281] train-mlogloss:0.003519+0.000023 test-mlogloss:1.244521+0.096809
## [282] train-mlogloss:0.003512+0.000023 test-mlogloss:1.244930+0.096648
## [283] train-mlogloss:0.003505+0.000023 test-mlogloss:1.244913+0.096296
## [284] train-mlogloss:0.003499+0.000023 test-mlogloss:1.245603+0.096448
## [285] train-mlogloss:0.003493+0.000024 test-mlogloss:1.245627+0.096359
## [286] train-mlogloss:0.003486+0.000024 test-mlogloss:1.245925+0.096083
## [287] train-mlogloss:0.003481+0.000024 test-mlogloss:1.245901+0.096092
## [288] train-mlogloss:0.003474+0.000025 test-mlogloss:1.247052+0.096320
## [289] train-mlogloss:0.003467+0.000025 test-mlogloss:1.247457+0.096485
## [290] train-mlogloss:0.003460+0.000024 test-mlogloss:1.247629+0.096131
## [291] train-mlogloss:0.003454+0.000024 test-mlogloss:1.248135+0.096544
## [292] train-mlogloss:0.003447+0.000023 test-mlogloss:1.248358+0.097099
## [293] train-mlogloss:0.003440+0.000022 test-mlogloss:1.247833+0.096694
## [294] train-mlogloss:0.003433+0.000023 test-mlogloss:1.248820+0.096811
## [295] train-mlogloss:0.003428+0.000023 test-mlogloss:1.249087+0.096690
## [296] train-mlogloss:0.003420+0.000021 test-mlogloss:1.249110+0.096476
## [297] train-mlogloss:0.003413+0.000021 test-mlogloss:1.249359+0.096182
## [298] train-mlogloss:0.003407+0.000020 test-mlogloss:1.249681+0.096045
## [299] train-mlogloss:0.003400+0.000019 test-mlogloss:1.249299+0.096079
## [300] train-mlogloss:0.003393+0.000020 test-mlogloss:1.250339+0.096141
## [301] train-mlogloss:0.003387+0.000020 test-mlogloss:1.251119+0.096026
## [302] train-mlogloss:0.003380+0.000020 test-mlogloss:1.251720+0.096435
## [303] train-mlogloss:0.003375+0.000020 test-mlogloss:1.251520+0.096431
## [304] train-mlogloss:0.003369+0.000020 test-mlogloss:1.252060+0.096524
## [305] train-mlogloss:0.003364+0.000020 test-mlogloss:1.252091+0.097061
## [306] train-mlogloss:0.003357+0.000020 test-mlogloss:1.252189+0.096579
## [307] train-mlogloss:0.003352+0.000021 test-mlogloss:1.252291+0.096334
## [308] train-mlogloss:0.003346+0.000021 test-mlogloss:1.252324+0.095368
## [309] train-mlogloss:0.003341+0.000021 test-mlogloss:1.253222+0.095879
## [310] train-mlogloss:0.003335+0.000020 test-mlogloss:1.253588+0.096636
## [311] train-mlogloss:0.003329+0.000020 test-mlogloss:1.253791+0.096759
## [312] train-mlogloss:0.003324+0.000020 test-mlogloss:1.253516+0.096548
## [313] train-mlogloss:0.003319+0.000020 test-mlogloss:1.254286+0.096464
## [314] train-mlogloss:0.003313+0.000020 test-mlogloss:1.253816+0.096401
## [315] train-mlogloss:0.003307+0.000020 test-mlogloss:1.254206+0.096592
## [316] train-mlogloss:0.003301+0.000021 test-mlogloss:1.254401+0.096468
## [317] train-mlogloss:0.003296+0.000021 test-mlogloss:1.254246+0.096327
## [318] train-mlogloss:0.003290+0.000022 test-mlogloss:1.254232+0.096821
## [319] train-mlogloss:0.003285+0.000021 test-mlogloss:1.254567+0.096215
## [320] train-mlogloss:0.003278+0.000021 test-mlogloss:1.254799+0.096178
## [321] train-mlogloss:0.003272+0.000020 test-mlogloss:1.255232+0.096054
## [322] train-mlogloss:0.003267+0.000020 test-mlogloss:1.255865+0.096307
## [323] train-mlogloss:0.003262+0.000021 test-mlogloss:1.255825+0.096450
## [324] train-mlogloss:0.003257+0.000020 test-mlogloss:1.255842+0.096617
## [325] train-mlogloss:0.003251+0.000021 test-mlogloss:1.256343+0.096537
## [326] train-mlogloss:0.003246+0.000020 test-mlogloss:1.256532+0.096435
## [327] train-mlogloss:0.003241+0.000021 test-mlogloss:1.256718+0.096297
## [328] train-mlogloss:0.003236+0.000021 test-mlogloss:1.256813+0.096379
## [329] train-mlogloss:0.003231+0.000020 test-mlogloss:1.257027+0.096678
## [330] train-mlogloss:0.003225+0.000021 test-mlogloss:1.257159+0.096575
## [331] train-mlogloss:0.003221+0.000022 test-mlogloss:1.257296+0.096295
## [332] train-mlogloss:0.003215+0.000022 test-mlogloss:1.257361+0.095984
## [333] train-mlogloss:0.003210+0.000022 test-mlogloss:1.257467+0.095986
## [334] train-mlogloss:0.003205+0.000024 test-mlogloss:1.258164+0.096657
## [335] train-mlogloss:0.003200+0.000024 test-mlogloss:1.258366+0.097214
## [336] train-mlogloss:0.003195+0.000024 test-mlogloss:1.258673+0.096475
## [337] train-mlogloss:0.003190+0.000023 test-mlogloss:1.258926+0.096215
## [338] train-mlogloss:0.003184+0.000023 test-mlogloss:1.259749+0.096923
## [339] train-mlogloss:0.003179+0.000023 test-mlogloss:1.260350+0.096542
## [340] train-mlogloss:0.003173+0.000023 test-mlogloss:1.260927+0.096786
## [341] train-mlogloss:0.003169+0.000023 test-mlogloss:1.260971+0.096784
## [342] train-mlogloss:0.003165+0.000023 test-mlogloss:1.261466+0.097144
## [343] train-mlogloss:0.003160+0.000023 test-mlogloss:1.261737+0.097353
## [344] train-mlogloss:0.003155+0.000024 test-mlogloss:1.261623+0.097172
## [345] train-mlogloss:0.003150+0.000024 test-mlogloss:1.261630+0.097167
## [346] train-mlogloss:0.003145+0.000023 test-mlogloss:1.261788+0.096771
## [347] train-mlogloss:0.003140+0.000024 test-mlogloss:1.261957+0.097179
## [348] train-mlogloss:0.003135+0.000024 test-mlogloss:1.262262+0.097392
## [349] train-mlogloss:0.003130+0.000024 test-mlogloss:1.262082+0.098057
## [350] train-mlogloss:0.003125+0.000024 test-mlogloss:1.262428+0.097963
## [351] train-mlogloss:0.003120+0.000024 test-mlogloss:1.262418+0.097869
## [352] train-mlogloss:0.003116+0.000024 test-mlogloss:1.262620+0.097508
## [353] train-mlogloss:0.003111+0.000024 test-mlogloss:1.263226+0.097358
## [354] train-mlogloss:0.003107+0.000023 test-mlogloss:1.263879+0.097294
## [355] train-mlogloss:0.003102+0.000023 test-mlogloss:1.264088+0.097681
## [356] train-mlogloss:0.003098+0.000023 test-mlogloss:1.264467+0.097327
## [357] train-mlogloss:0.003093+0.000024 test-mlogloss:1.264148+0.097448
## [358] train-mlogloss:0.003088+0.000024 test-mlogloss:1.264048+0.097854
## [359] train-mlogloss:0.003084+0.000024 test-mlogloss:1.264288+0.097522
## [360] train-mlogloss:0.003079+0.000024 test-mlogloss:1.264403+0.097490
## [361] train-mlogloss:0.003074+0.000025 test-mlogloss:1.264654+0.097696
## [362] train-mlogloss:0.003069+0.000025 test-mlogloss:1.264951+0.097276
## [363] train-mlogloss:0.003064+0.000025 test-mlogloss:1.265131+0.097385
## [364] train-mlogloss:0.003060+0.000025 test-mlogloss:1.265209+0.097725
## [365] train-mlogloss:0.003055+0.000025 test-mlogloss:1.265279+0.097755
## [366] train-mlogloss:0.003051+0.000024 test-mlogloss:1.266336+0.098033
## [367] train-mlogloss:0.003046+0.000024 test-mlogloss:1.265817+0.097834
## [368] train-mlogloss:0.003042+0.000024 test-mlogloss:1.265704+0.098114
## [369] train-mlogloss:0.003037+0.000024 test-mlogloss:1.266228+0.097846
## [370] train-mlogloss:0.003032+0.000025 test-mlogloss:1.266699+0.098153
## [371] train-mlogloss:0.003027+0.000025 test-mlogloss:1.267124+0.098031
## [372] train-mlogloss:0.003024+0.000025 test-mlogloss:1.267804+0.098079
## [373] train-mlogloss:0.003020+0.000025 test-mlogloss:1.268309+0.097780
## [374] train-mlogloss:0.003016+0.000024 test-mlogloss:1.268433+0.097496
## [375] train-mlogloss:0.003012+0.000024 test-mlogloss:1.268314+0.097517
## [376] train-mlogloss:0.003008+0.000023 test-mlogloss:1.269060+0.097844
## [377] train-mlogloss:0.003004+0.000023 test-mlogloss:1.269501+0.097641
## [378] train-mlogloss:0.002999+0.000023 test-mlogloss:1.269178+0.097443
## [379] train-mlogloss:0.002995+0.000023 test-mlogloss:1.269824+0.097819
## [380] train-mlogloss:0.002991+0.000023 test-mlogloss:1.269791+0.097252
## [381] train-mlogloss:0.002986+0.000023 test-mlogloss:1.269665+0.097295
## [382] train-mlogloss:0.002982+0.000023 test-mlogloss:1.270098+0.096939
## [383] train-mlogloss:0.002978+0.000024 test-mlogloss:1.269844+0.096820
## [384] train-mlogloss:0.002974+0.000024 test-mlogloss:1.269878+0.096777
## [385] train-mlogloss:0.002969+0.000024 test-mlogloss:1.270340+0.097398
## [386] train-mlogloss:0.002965+0.000024 test-mlogloss:1.270441+0.097059
## [387] train-mlogloss:0.002961+0.000024 test-mlogloss:1.270392+0.097189
## [388] train-mlogloss:0.002957+0.000024 test-mlogloss:1.270833+0.096968
## [389] train-mlogloss:0.002953+0.000024 test-mlogloss:1.270470+0.097288
## [390] train-mlogloss:0.002949+0.000024 test-mlogloss:1.270839+0.097073
## [391] train-mlogloss:0.002946+0.000024 test-mlogloss:1.270838+0.097440
## [392] train-mlogloss:0.002941+0.000025 test-mlogloss:1.271175+0.097574
## [393] train-mlogloss:0.002938+0.000025 test-mlogloss:1.271454+0.097669
## [394] train-mlogloss:0.002934+0.000025 test-mlogloss:1.271037+0.097354
## [395] train-mlogloss:0.002930+0.000025 test-mlogloss:1.271388+0.097265
## [396] train-mlogloss:0.002926+0.000025 test-mlogloss:1.271569+0.097598
## [397] train-mlogloss:0.002922+0.000025 test-mlogloss:1.271232+0.097501
## [398] train-mlogloss:0.002918+0.000025 test-mlogloss:1.272005+0.097820
## [399] train-mlogloss:0.002914+0.000025 test-mlogloss:1.272435+0.097721
## [400] train-mlogloss:0.002910+0.000025 test-mlogloss:1.272771+0.097716
## [401] train-mlogloss:0.002906+0.000024 test-mlogloss:1.273137+0.097424
## [402] train-mlogloss:0.002902+0.000024 test-mlogloss:1.273278+0.096816
## [403] train-mlogloss:0.002898+0.000024 test-mlogloss:1.273334+0.097383
## [404] train-mlogloss:0.002894+0.000024 test-mlogloss:1.273660+0.097016
## [405] train-mlogloss:0.002891+0.000024 test-mlogloss:1.273646+0.097636
## [406] train-mlogloss:0.002887+0.000024 test-mlogloss:1.274053+0.097761
## [407] train-mlogloss:0.002884+0.000025 test-mlogloss:1.273773+0.097160
## [408] train-mlogloss:0.002880+0.000024 test-mlogloss:1.274221+0.097378
## [409] train-mlogloss:0.002877+0.000024 test-mlogloss:1.274295+0.097349
## [410] train-mlogloss:0.002874+0.000024 test-mlogloss:1.274483+0.097126
## [411] train-mlogloss:0.002871+0.000023 test-mlogloss:1.274876+0.096935
## [412] train-mlogloss:0.002867+0.000024 test-mlogloss:1.274874+0.096887
## [413] train-mlogloss:0.002863+0.000024 test-mlogloss:1.275118+0.097325
## [414] train-mlogloss:0.002860+0.000023 test-mlogloss:1.275300+0.096896
## [415] train-mlogloss:0.002856+0.000024 test-mlogloss:1.275290+0.096714
## [416] train-mlogloss:0.002852+0.000024 test-mlogloss:1.275200+0.097092
## [417] train-mlogloss:0.002849+0.000024 test-mlogloss:1.275905+0.097007
## [418] train-mlogloss:0.002846+0.000025 test-mlogloss:1.275857+0.096882
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## [420] train-mlogloss:0.002838+0.000025 test-mlogloss:1.276549+0.096749
## [421] train-mlogloss:0.002835+0.000024 test-mlogloss:1.276469+0.096786
## [422] train-mlogloss:0.002832+0.000025 test-mlogloss:1.276556+0.096665
## [423] train-mlogloss:0.002829+0.000025 test-mlogloss:1.276469+0.096716
## [424] train-mlogloss:0.002825+0.000025 test-mlogloss:1.277213+0.097069
## [425] train-mlogloss:0.002822+0.000025 test-mlogloss:1.277056+0.097157
## [426] train-mlogloss:0.002819+0.000025 test-mlogloss:1.277435+0.097045
## [427] train-mlogloss:0.002816+0.000025 test-mlogloss:1.278203+0.097255
## [428] train-mlogloss:0.002813+0.000025 test-mlogloss:1.278401+0.097899
## [429] train-mlogloss:0.002809+0.000025 test-mlogloss:1.278554+0.097950
## [430] train-mlogloss:0.002805+0.000025 test-mlogloss:1.278438+0.097239
## [431] train-mlogloss:0.002802+0.000025 test-mlogloss:1.279043+0.097285
## [432] train-mlogloss:0.002799+0.000025 test-mlogloss:1.278892+0.097305
## [433] train-mlogloss:0.002796+0.000025 test-mlogloss:1.278910+0.097106
## [434] train-mlogloss:0.002793+0.000026 test-mlogloss:1.278936+0.097145
## [435] train-mlogloss:0.002789+0.000026 test-mlogloss:1.279309+0.097222
## [436] train-mlogloss:0.002786+0.000026 test-mlogloss:1.278988+0.097389
## [437] train-mlogloss:0.002783+0.000026 test-mlogloss:1.279871+0.097461
## [438] train-mlogloss:0.002780+0.000026 test-mlogloss:1.280220+0.097405
## [439] train-mlogloss:0.002776+0.000025 test-mlogloss:1.279981+0.097691
## [440] train-mlogloss:0.002773+0.000025 test-mlogloss:1.280437+0.097263
## [441] train-mlogloss:0.002769+0.000024 test-mlogloss:1.280516+0.097516
## [442] train-mlogloss:0.002767+0.000025 test-mlogloss:1.280808+0.097423
## [443] train-mlogloss:0.002763+0.000024 test-mlogloss:1.281115+0.097514
## [444] train-mlogloss:0.002760+0.000024 test-mlogloss:1.281742+0.097884
## [445] train-mlogloss:0.002757+0.000024 test-mlogloss:1.282021+0.098323
## [446] train-mlogloss:0.002753+0.000024 test-mlogloss:1.281966+0.098067
## [447] train-mlogloss:0.002750+0.000024 test-mlogloss:1.281959+0.097963
## [448] train-mlogloss:0.002748+0.000024 test-mlogloss:1.281498+0.097951
## [449] train-mlogloss:0.002745+0.000024 test-mlogloss:1.281963+0.097977
## [450] train-mlogloss:0.002742+0.000023 test-mlogloss:1.282375+0.097624
## [451] train-mlogloss:0.002739+0.000023 test-mlogloss:1.282278+0.097375
## [452] train-mlogloss:0.002736+0.000023 test-mlogloss:1.282843+0.097684
## [453] train-mlogloss:0.002733+0.000023 test-mlogloss:1.282819+0.097446
## [454] train-mlogloss:0.002730+0.000023 test-mlogloss:1.282590+0.097722
## [455] train-mlogloss:0.002727+0.000023 test-mlogloss:1.282823+0.097921
## [456] train-mlogloss:0.002724+0.000023 test-mlogloss:1.283305+0.098263
## [457] train-mlogloss:0.002721+0.000023 test-mlogloss:1.283886+0.098316
## [458] train-mlogloss:0.002718+0.000023 test-mlogloss:1.283811+0.098392
## [459] train-mlogloss:0.002715+0.000022 test-mlogloss:1.283863+0.097980
## [460] train-mlogloss:0.002713+0.000022 test-mlogloss:1.283872+0.098176
## [461] train-mlogloss:0.002710+0.000022 test-mlogloss:1.284049+0.098168
## [462] train-mlogloss:0.002707+0.000023 test-mlogloss:1.284604+0.097997
## [463] train-mlogloss:0.002703+0.000022 test-mlogloss:1.284966+0.098180
## [464] train-mlogloss:0.002700+0.000022 test-mlogloss:1.285161+0.098070
## [465] train-mlogloss:0.002698+0.000022 test-mlogloss:1.285434+0.098319
## [466] train-mlogloss:0.002695+0.000022 test-mlogloss:1.285560+0.098510
## [467] train-mlogloss:0.002692+0.000022 test-mlogloss:1.285241+0.098256
## [468] train-mlogloss:0.002688+0.000023 test-mlogloss:1.285190+0.098225
## [469] train-mlogloss:0.002686+0.000023 test-mlogloss:1.285470+0.098113
## [470] train-mlogloss:0.002683+0.000023 test-mlogloss:1.285368+0.097844
## [471] train-mlogloss:0.002680+0.000023 test-mlogloss:1.285701+0.097942
## [472] train-mlogloss:0.002677+0.000023 test-mlogloss:1.286095+0.097682
## [473] train-mlogloss:0.002674+0.000023 test-mlogloss:1.286214+0.097939
## [474] train-mlogloss:0.002671+0.000023 test-mlogloss:1.286694+0.097776
## [475] train-mlogloss:0.002669+0.000023 test-mlogloss:1.286932+0.098259
## [476] train-mlogloss:0.002666+0.000023 test-mlogloss:1.286787+0.098471
## [477] train-mlogloss:0.002663+0.000023 test-mlogloss:1.287168+0.098490
## [478] train-mlogloss:0.002661+0.000023 test-mlogloss:1.286580+0.097946
## [479] train-mlogloss:0.002658+0.000024 test-mlogloss:1.286572+0.098345
## [480] train-mlogloss:0.002655+0.000023 test-mlogloss:1.286568+0.098208
## [481] train-mlogloss:0.002652+0.000024 test-mlogloss:1.287350+0.098257
## [482] train-mlogloss:0.002650+0.000024 test-mlogloss:1.287677+0.098530
## [483] train-mlogloss:0.002647+0.000023 test-mlogloss:1.287626+0.098978
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## [487] train-mlogloss:0.002636+0.000024 test-mlogloss:1.288177+0.098082
## [488] train-mlogloss:0.002633+0.000024 test-mlogloss:1.288260+0.097523
## [489] train-mlogloss:0.002631+0.000023 test-mlogloss:1.288260+0.098134
## [490] train-mlogloss:0.002628+0.000023 test-mlogloss:1.288932+0.098229
## [491] train-mlogloss:0.002626+0.000023 test-mlogloss:1.289394+0.098280
## [492] train-mlogloss:0.002623+0.000023 test-mlogloss:1.289422+0.098196
## [493] train-mlogloss:0.002620+0.000023 test-mlogloss:1.289446+0.098322
## [494] train-mlogloss:0.002618+0.000023 test-mlogloss:1.289762+0.098731
## [495] train-mlogloss:0.002615+0.000024 test-mlogloss:1.290253+0.098581
## [496] train-mlogloss:0.002612+0.000023 test-mlogloss:1.290150+0.098508
## [497] train-mlogloss:0.002609+0.000023 test-mlogloss:1.290577+0.097987
## [498] train-mlogloss:0.002607+0.000023 test-mlogloss:1.290554+0.098495
## [499] train-mlogloss:0.002605+0.000023 test-mlogloss:1.290461+0.098248
## [500] train-mlogloss:0.002602+0.000023 test-mlogloss:1.290582+0.098221
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## [2] train-mlogloss:0.572429+0.003438 test-mlogloss:0.585710+0.009138
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## [9] train-mlogloss:0.490775+0.004228 test-mlogloss:0.536497+0.017934
## [10] train-mlogloss:0.487510+0.004301 test-mlogloss:0.535595+0.017522
## [11] train-mlogloss:0.484131+0.004040 test-mlogloss:0.536348+0.018169
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## [14] train-mlogloss:0.475784+0.004431 test-mlogloss:0.538049+0.019191
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## [17] train-mlogloss:0.466969+0.004421 test-mlogloss:0.540409+0.019390
## [18] train-mlogloss:0.464297+0.004604 test-mlogloss:0.541290+0.019910
## [19] train-mlogloss:0.460967+0.005040 test-mlogloss:0.541753+0.019802
## [20] train-mlogloss:0.458590+0.005035 test-mlogloss:0.542880+0.020386
## [21] train-mlogloss:0.455991+0.005194 test-mlogloss:0.543302+0.020776
## [22] train-mlogloss:0.453463+0.005620 test-mlogloss:0.543307+0.020784
## [23] train-mlogloss:0.451511+0.005722 test-mlogloss:0.544187+0.021129
## [24] train-mlogloss:0.449385+0.005319 test-mlogloss:0.544705+0.021956
## [25] train-mlogloss:0.446904+0.005217 test-mlogloss:0.545462+0.022196
## [26] train-mlogloss:0.444802+0.005110 test-mlogloss:0.546667+0.021736
## [27] train-mlogloss:0.441983+0.005274 test-mlogloss:0.547202+0.021032
## [28] train-mlogloss:0.439588+0.005442 test-mlogloss:0.547769+0.020814
## [29] train-mlogloss:0.437061+0.004958 test-mlogloss:0.547501+0.020476
## [30] train-mlogloss:0.434858+0.005099 test-mlogloss:0.547928+0.021133
## [31] train-mlogloss:0.433095+0.005145 test-mlogloss:0.548292+0.021594
## [32] train-mlogloss:0.431157+0.004766 test-mlogloss:0.548900+0.021526
## [33] train-mlogloss:0.429201+0.004919 test-mlogloss:0.549737+0.021438
## [34] train-mlogloss:0.427029+0.004945 test-mlogloss:0.550061+0.021790
## [35] train-mlogloss:0.424713+0.005073 test-mlogloss:0.550915+0.021903
## [36] train-mlogloss:0.422567+0.004719 test-mlogloss:0.551733+0.021761
## [37] train-mlogloss:0.420520+0.004885 test-mlogloss:0.552579+0.021966
## [38] train-mlogloss:0.418710+0.004791 test-mlogloss:0.552406+0.022036
## [39] train-mlogloss:0.416347+0.004787 test-mlogloss:0.552886+0.022049
## [40] train-mlogloss:0.414549+0.004868 test-mlogloss:0.553880+0.021795
## [41] train-mlogloss:0.411932+0.004446 test-mlogloss:0.554362+0.021829
## [42] train-mlogloss:0.410522+0.004235 test-mlogloss:0.554903+0.022107
## [43] train-mlogloss:0.408080+0.004398 test-mlogloss:0.555760+0.022518
## [44] train-mlogloss:0.405993+0.004498 test-mlogloss:0.556484+0.023098
## [45] train-mlogloss:0.403388+0.005133 test-mlogloss:0.557710+0.023320
## [46] train-mlogloss:0.400978+0.004834 test-mlogloss:0.558237+0.022747
## [47] train-mlogloss:0.399020+0.004826 test-mlogloss:0.558555+0.022979
## [48] train-mlogloss:0.397238+0.004528 test-mlogloss:0.559238+0.023234
## [49] train-mlogloss:0.395131+0.004288 test-mlogloss:0.560061+0.023041
## [50] train-mlogloss:0.393190+0.004426 test-mlogloss:0.560818+0.023317
## [51] train-mlogloss:0.391322+0.004356 test-mlogloss:0.562023+0.023518
## [52] train-mlogloss:0.389449+0.004454 test-mlogloss:0.562439+0.023549
## [53] train-mlogloss:0.387628+0.004460 test-mlogloss:0.563161+0.023618
## [54] train-mlogloss:0.385824+0.004354 test-mlogloss:0.563083+0.023460
## [55] train-mlogloss:0.383897+0.004689 test-mlogloss:0.563598+0.024110
## [56] train-mlogloss:0.382177+0.004797 test-mlogloss:0.563867+0.024442
## [57] train-mlogloss:0.380596+0.005189 test-mlogloss:0.564510+0.024424
## [58] train-mlogloss:0.378251+0.005377 test-mlogloss:0.564988+0.024372
## [59] train-mlogloss:0.376524+0.005471 test-mlogloss:0.565761+0.025237
## [60] train-mlogloss:0.374898+0.005563 test-mlogloss:0.566331+0.024858
## [61] train-mlogloss:0.373112+0.005694 test-mlogloss:0.567191+0.024590
## [62] train-mlogloss:0.371410+0.005700 test-mlogloss:0.567840+0.024889
## [63] train-mlogloss:0.370146+0.005683 test-mlogloss:0.568399+0.024913
## [64] train-mlogloss:0.368247+0.005615 test-mlogloss:0.568493+0.024991
## [65] train-mlogloss:0.366501+0.005956 test-mlogloss:0.568702+0.024908
## [66] train-mlogloss:0.364679+0.005704 test-mlogloss:0.569480+0.024510
## [67] train-mlogloss:0.363153+0.006033 test-mlogloss:0.569920+0.024433
## [68] train-mlogloss:0.361383+0.006255 test-mlogloss:0.569974+0.024451
## [69] train-mlogloss:0.359745+0.006490 test-mlogloss:0.570690+0.025299
## [70] train-mlogloss:0.357759+0.006315 test-mlogloss:0.570901+0.025309
## [71] train-mlogloss:0.355949+0.005981 test-mlogloss:0.571150+0.024924
## [72] train-mlogloss:0.354205+0.006250 test-mlogloss:0.571071+0.024794
## [73] train-mlogloss:0.352368+0.006426 test-mlogloss:0.571519+0.024960
## [74] train-mlogloss:0.350625+0.005916 test-mlogloss:0.572260+0.025353
## [75] train-mlogloss:0.348794+0.005708 test-mlogloss:0.572647+0.025562
## [76] train-mlogloss:0.347241+0.005395 test-mlogloss:0.573218+0.025680
## [77] train-mlogloss:0.345639+0.005678 test-mlogloss:0.573567+0.025521
## [78] train-mlogloss:0.343917+0.006061 test-mlogloss:0.574380+0.025649
## [79] train-mlogloss:0.342559+0.005803 test-mlogloss:0.574447+0.025073
## [80] train-mlogloss:0.341209+0.005598 test-mlogloss:0.574516+0.025051
## [81] train-mlogloss:0.339724+0.005630 test-mlogloss:0.574817+0.025040
## [82] train-mlogloss:0.338346+0.005599 test-mlogloss:0.576249+0.025078
## [83] train-mlogloss:0.336591+0.005749 test-mlogloss:0.576748+0.024976
## [84] train-mlogloss:0.334965+0.005670 test-mlogloss:0.577494+0.024645
## [85] train-mlogloss:0.333491+0.005605 test-mlogloss:0.578223+0.024452
## [86] train-mlogloss:0.332285+0.005570 test-mlogloss:0.578859+0.024512
## [87] train-mlogloss:0.330528+0.005597 test-mlogloss:0.579618+0.024312
## [88] train-mlogloss:0.329364+0.005694 test-mlogloss:0.579421+0.024449
## [89] train-mlogloss:0.327837+0.005547 test-mlogloss:0.580050+0.024837
## [90] train-mlogloss:0.326399+0.005473 test-mlogloss:0.580187+0.024954
## [91] train-mlogloss:0.325321+0.005553 test-mlogloss:0.580745+0.025233
## [92] train-mlogloss:0.323811+0.005517 test-mlogloss:0.581096+0.024731
## [93] train-mlogloss:0.322491+0.005607 test-mlogloss:0.581478+0.024918
## [94] train-mlogloss:0.321171+0.005708 test-mlogloss:0.581731+0.025111
## [95] train-mlogloss:0.319959+0.005688 test-mlogloss:0.582321+0.025107
## [96] train-mlogloss:0.318847+0.005565 test-mlogloss:0.582961+0.025145
## [97] train-mlogloss:0.317275+0.005635 test-mlogloss:0.583486+0.025158
## [98] train-mlogloss:0.316139+0.005654 test-mlogloss:0.584356+0.024757
## [99] train-mlogloss:0.314798+0.005253 test-mlogloss:0.584760+0.024425
## [100] train-mlogloss:0.313399+0.005253 test-mlogloss:0.585267+0.024721
## [101] train-mlogloss:0.311977+0.005100 test-mlogloss:0.585682+0.024337
## [102] train-mlogloss:0.310535+0.005189 test-mlogloss:0.586301+0.024214
## [103] train-mlogloss:0.309144+0.005130 test-mlogloss:0.586692+0.024489
## [104] train-mlogloss:0.308018+0.005378 test-mlogloss:0.587409+0.024978
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## [108] train-mlogloss:0.302549+0.005216 test-mlogloss:0.588714+0.024438
## [109] train-mlogloss:0.301190+0.005213 test-mlogloss:0.589432+0.024776
## [110] train-mlogloss:0.299646+0.005075 test-mlogloss:0.589829+0.024515
## [111] train-mlogloss:0.298255+0.005045 test-mlogloss:0.590427+0.024979
## [112] train-mlogloss:0.296811+0.005076 test-mlogloss:0.590676+0.025659
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## [197] train-mlogloss:0.207775+0.004088 test-mlogloss:0.635010+0.028704
## [198] train-mlogloss:0.206830+0.004069 test-mlogloss:0.635189+0.028520
## [199] train-mlogloss:0.206097+0.004041 test-mlogloss:0.635504+0.028006
## [200] train-mlogloss:0.205346+0.003908 test-mlogloss:0.635953+0.027782
## [201] train-mlogloss:0.204510+0.003861 test-mlogloss:0.636298+0.028430
## [202] train-mlogloss:0.203684+0.003881 test-mlogloss:0.636871+0.028715
## [203] train-mlogloss:0.202878+0.003898 test-mlogloss:0.637101+0.028714
## [204] train-mlogloss:0.201958+0.003874 test-mlogloss:0.637185+0.028890
## [205] train-mlogloss:0.201329+0.003868 test-mlogloss:0.637460+0.028811
## [206] train-mlogloss:0.200483+0.003762 test-mlogloss:0.638037+0.028977
## [207] train-mlogloss:0.199607+0.003565 test-mlogloss:0.638747+0.029216
## [208] train-mlogloss:0.198868+0.003544 test-mlogloss:0.639369+0.029062
## [209] train-mlogloss:0.198115+0.003540 test-mlogloss:0.639885+0.029077
## [210] train-mlogloss:0.197245+0.003629 test-mlogloss:0.640024+0.029634
## [211] train-mlogloss:0.196560+0.003707 test-mlogloss:0.640579+0.030009
## [212] train-mlogloss:0.195809+0.003607 test-mlogloss:0.641393+0.030753
## [213] train-mlogloss:0.195155+0.003635 test-mlogloss:0.641832+0.030404
## [214] train-mlogloss:0.194292+0.003445 test-mlogloss:0.642837+0.030520
## [215] train-mlogloss:0.193572+0.003317 test-mlogloss:0.643691+0.030562
## [216] train-mlogloss:0.192832+0.003108 test-mlogloss:0.644529+0.030569
## [217] train-mlogloss:0.191978+0.003161 test-mlogloss:0.644797+0.030229
## [218] train-mlogloss:0.191375+0.003047 test-mlogloss:0.645186+0.030062
## [219] train-mlogloss:0.190616+0.003081 test-mlogloss:0.645891+0.029902
## [220] train-mlogloss:0.189804+0.002994 test-mlogloss:0.646373+0.029718
## [221] train-mlogloss:0.188906+0.003163 test-mlogloss:0.646916+0.029101
## [222] train-mlogloss:0.188262+0.003121 test-mlogloss:0.647234+0.029536
## [223] train-mlogloss:0.187562+0.003126 test-mlogloss:0.647390+0.029525
## [224] train-mlogloss:0.186884+0.003116 test-mlogloss:0.647650+0.029300
## [225] train-mlogloss:0.186140+0.003116 test-mlogloss:0.648059+0.029456
## [226] train-mlogloss:0.185287+0.003198 test-mlogloss:0.649008+0.029084
## [227] train-mlogloss:0.184532+0.003079 test-mlogloss:0.649718+0.028926
## [228] train-mlogloss:0.183990+0.003096 test-mlogloss:0.650087+0.028725
## [229] train-mlogloss:0.183278+0.003120 test-mlogloss:0.649987+0.029123
## [230] train-mlogloss:0.182609+0.003011 test-mlogloss:0.650567+0.028799
## [231] train-mlogloss:0.181905+0.003009 test-mlogloss:0.651224+0.029000
## [232] train-mlogloss:0.181340+0.003062 test-mlogloss:0.651839+0.029071
## [233] train-mlogloss:0.180636+0.003070 test-mlogloss:0.653105+0.029243
## [234] train-mlogloss:0.179957+0.002940 test-mlogloss:0.653837+0.029455
## [235] train-mlogloss:0.179190+0.002789 test-mlogloss:0.654232+0.029039
## [236] train-mlogloss:0.178422+0.002675 test-mlogloss:0.654556+0.028621
## [237] train-mlogloss:0.177697+0.002687 test-mlogloss:0.655262+0.029015
## [238] train-mlogloss:0.176940+0.002660 test-mlogloss:0.655842+0.029401
## [239] train-mlogloss:0.176294+0.002715 test-mlogloss:0.656791+0.029788
## [240] train-mlogloss:0.175601+0.002607 test-mlogloss:0.657648+0.030004
## [241] train-mlogloss:0.174956+0.002719 test-mlogloss:0.658183+0.030132
## [242] train-mlogloss:0.174122+0.002743 test-mlogloss:0.658424+0.030665
## [243] train-mlogloss:0.173437+0.002820 test-mlogloss:0.658727+0.030050
## [244] train-mlogloss:0.172691+0.002791 test-mlogloss:0.658988+0.030662
## [245] train-mlogloss:0.171964+0.002814 test-mlogloss:0.659557+0.031179
## [246] train-mlogloss:0.171435+0.002609 test-mlogloss:0.659856+0.031385
## [247] train-mlogloss:0.170564+0.002719 test-mlogloss:0.660682+0.031465
## [248] train-mlogloss:0.169968+0.002702 test-mlogloss:0.661202+0.031252
## [249] train-mlogloss:0.169394+0.002784 test-mlogloss:0.661634+0.032004
## [250] train-mlogloss:0.168749+0.002897 test-mlogloss:0.662143+0.031958
## [251] train-mlogloss:0.168244+0.002879 test-mlogloss:0.662495+0.032042
## [252] train-mlogloss:0.167403+0.002854 test-mlogloss:0.662713+0.032345
## [253] train-mlogloss:0.166907+0.002900 test-mlogloss:0.663183+0.032296
## [254] train-mlogloss:0.166304+0.002795 test-mlogloss:0.663666+0.032304
## [255] train-mlogloss:0.165799+0.002856 test-mlogloss:0.664097+0.032465
## [256] train-mlogloss:0.165046+0.002713 test-mlogloss:0.664133+0.032244
## [257] train-mlogloss:0.164417+0.002653 test-mlogloss:0.665273+0.032383
## [258] train-mlogloss:0.163923+0.002712 test-mlogloss:0.666142+0.032769
## [259] train-mlogloss:0.163425+0.002669 test-mlogloss:0.666634+0.032882
## [260] train-mlogloss:0.162838+0.002510 test-mlogloss:0.666871+0.032789
## [261] train-mlogloss:0.162277+0.002606 test-mlogloss:0.667313+0.033177
## [262] train-mlogloss:0.161629+0.002756 test-mlogloss:0.667815+0.033010
## [263] train-mlogloss:0.160987+0.002807 test-mlogloss:0.668101+0.032825
## [264] train-mlogloss:0.160478+0.002844 test-mlogloss:0.668428+0.032871
## [265] train-mlogloss:0.159843+0.002774 test-mlogloss:0.669213+0.032952
## [266] train-mlogloss:0.159219+0.002724 test-mlogloss:0.669828+0.032760
## [267] train-mlogloss:0.158572+0.002594 test-mlogloss:0.669892+0.032665
## [268] train-mlogloss:0.158036+0.002493 test-mlogloss:0.670377+0.032877
## [269] train-mlogloss:0.157363+0.002512 test-mlogloss:0.671140+0.033005
## [270] train-mlogloss:0.156659+0.002559 test-mlogloss:0.671368+0.032468
## [271] train-mlogloss:0.156086+0.002503 test-mlogloss:0.672444+0.032436
## [272] train-mlogloss:0.155442+0.002499 test-mlogloss:0.672422+0.032377
## [273] train-mlogloss:0.154791+0.002594 test-mlogloss:0.672459+0.033043
## [274] train-mlogloss:0.154170+0.002621 test-mlogloss:0.673227+0.033292
## [275] train-mlogloss:0.153598+0.002715 test-mlogloss:0.673756+0.032763
## [276] train-mlogloss:0.153135+0.002677 test-mlogloss:0.674664+0.032526
## [277] train-mlogloss:0.152560+0.002607 test-mlogloss:0.674861+0.031922
## [278] train-mlogloss:0.152021+0.002696 test-mlogloss:0.675188+0.032553
## [279] train-mlogloss:0.151517+0.002694 test-mlogloss:0.675507+0.032211
## [280] train-mlogloss:0.150999+0.002788 test-mlogloss:0.675565+0.032350
## [281] train-mlogloss:0.150467+0.002805 test-mlogloss:0.675882+0.032242
## [282] train-mlogloss:0.149946+0.002721 test-mlogloss:0.675872+0.032012
## [283] train-mlogloss:0.149338+0.002623 test-mlogloss:0.676808+0.032107
## [284] train-mlogloss:0.148708+0.002649 test-mlogloss:0.677141+0.032075
## [285] train-mlogloss:0.148185+0.002632 test-mlogloss:0.677310+0.032151
## [286] train-mlogloss:0.147755+0.002676 test-mlogloss:0.678007+0.032414
## [287] train-mlogloss:0.147264+0.002710 test-mlogloss:0.678598+0.032591
## [288] train-mlogloss:0.146693+0.002580 test-mlogloss:0.679434+0.032424
## [289] train-mlogloss:0.146155+0.002704 test-mlogloss:0.679407+0.032138
## [290] train-mlogloss:0.145617+0.002587 test-mlogloss:0.680533+0.032598
## [291] train-mlogloss:0.145072+0.002607 test-mlogloss:0.680979+0.032328
## [292] train-mlogloss:0.144617+0.002593 test-mlogloss:0.681290+0.032177
## [293] train-mlogloss:0.144125+0.002606 test-mlogloss:0.681892+0.032654
## [294] train-mlogloss:0.143490+0.002416 test-mlogloss:0.682649+0.032730
## [295] train-mlogloss:0.142872+0.002400 test-mlogloss:0.683098+0.032513
## [296] train-mlogloss:0.142380+0.002409 test-mlogloss:0.683499+0.032860
## [297] train-mlogloss:0.141748+0.002351 test-mlogloss:0.683757+0.032904
## [298] train-mlogloss:0.141321+0.002355 test-mlogloss:0.683960+0.033285
## [299] train-mlogloss:0.140856+0.002444 test-mlogloss:0.684599+0.033359
## [300] train-mlogloss:0.140355+0.002518 test-mlogloss:0.685129+0.033634
## [301] train-mlogloss:0.139769+0.002574 test-mlogloss:0.685285+0.033169
## [302] train-mlogloss:0.139283+0.002507 test-mlogloss:0.685788+0.033220
## [303] train-mlogloss:0.138786+0.002414 test-mlogloss:0.686542+0.033153
## [304] train-mlogloss:0.138372+0.002269 test-mlogloss:0.687041+0.033228
## [305] train-mlogloss:0.137896+0.002334 test-mlogloss:0.687442+0.033212
## [306] train-mlogloss:0.137526+0.002395 test-mlogloss:0.687606+0.032997
## [307] train-mlogloss:0.137021+0.002401 test-mlogloss:0.688052+0.033253
## [308] train-mlogloss:0.136573+0.002426 test-mlogloss:0.688910+0.033828
## [309] train-mlogloss:0.136084+0.002356 test-mlogloss:0.689606+0.033711
## [310] train-mlogloss:0.135606+0.002369 test-mlogloss:0.690560+0.033977
## [311] train-mlogloss:0.135149+0.002288 test-mlogloss:0.691150+0.033900
## [312] train-mlogloss:0.134543+0.002249 test-mlogloss:0.691915+0.034603
## [313] train-mlogloss:0.134136+0.002234 test-mlogloss:0.692614+0.034501
## [314] train-mlogloss:0.133656+0.002202 test-mlogloss:0.693405+0.034840
## [315] train-mlogloss:0.133249+0.002231 test-mlogloss:0.693604+0.034885
## [316] train-mlogloss:0.132794+0.002167 test-mlogloss:0.693946+0.035043
## [317] train-mlogloss:0.132508+0.002102 test-mlogloss:0.694214+0.035233
## [318] train-mlogloss:0.132000+0.002028 test-mlogloss:0.694636+0.035052
## [319] train-mlogloss:0.131506+0.002068 test-mlogloss:0.695174+0.035189
## [320] train-mlogloss:0.131148+0.002105 test-mlogloss:0.695162+0.035559
## [321] train-mlogloss:0.130746+0.002153 test-mlogloss:0.695243+0.035193
## [322] train-mlogloss:0.130308+0.002141 test-mlogloss:0.695778+0.034802
## [323] train-mlogloss:0.129934+0.002097 test-mlogloss:0.696030+0.035065
## [324] train-mlogloss:0.129487+0.001917 test-mlogloss:0.696449+0.035342
## [325] train-mlogloss:0.128993+0.002043 test-mlogloss:0.697489+0.035409
## [326] train-mlogloss:0.128577+0.002032 test-mlogloss:0.698153+0.035565
## [327] train-mlogloss:0.128134+0.002026 test-mlogloss:0.698316+0.035319
## [328] train-mlogloss:0.127772+0.001944 test-mlogloss:0.698333+0.035200
## [329] train-mlogloss:0.127320+0.001916 test-mlogloss:0.699235+0.035602
## [330] train-mlogloss:0.126956+0.001906 test-mlogloss:0.699867+0.035740
## [331] train-mlogloss:0.126554+0.001863 test-mlogloss:0.700267+0.035896
## [332] train-mlogloss:0.126221+0.001809 test-mlogloss:0.700731+0.035847
## [333] train-mlogloss:0.125855+0.001876 test-mlogloss:0.700821+0.035092
## [334] train-mlogloss:0.125353+0.001864 test-mlogloss:0.701038+0.035166
## [335] train-mlogloss:0.124903+0.001855 test-mlogloss:0.701621+0.035049
## [336] train-mlogloss:0.124432+0.001838 test-mlogloss:0.701962+0.035289
## [337] train-mlogloss:0.124024+0.001835 test-mlogloss:0.702261+0.035365
## [338] train-mlogloss:0.123547+0.001761 test-mlogloss:0.702703+0.034897
## [339] train-mlogloss:0.123120+0.001793 test-mlogloss:0.702836+0.034951
## [340] train-mlogloss:0.122740+0.001811 test-mlogloss:0.703651+0.034886
## [341] train-mlogloss:0.122217+0.001701 test-mlogloss:0.703384+0.034828
## [342] train-mlogloss:0.121800+0.001769 test-mlogloss:0.703879+0.034709
## [343] train-mlogloss:0.121407+0.001787 test-mlogloss:0.704289+0.034801
## [344] train-mlogloss:0.120907+0.001831 test-mlogloss:0.704763+0.035227
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## [346] train-mlogloss:0.120092+0.001811 test-mlogloss:0.705361+0.035212
## [347] train-mlogloss:0.119738+0.001782 test-mlogloss:0.705517+0.035320
## [348] train-mlogloss:0.119377+0.001797 test-mlogloss:0.706228+0.035282
## [349] train-mlogloss:0.119056+0.001749 test-mlogloss:0.706899+0.035446
## [350] train-mlogloss:0.118675+0.001762 test-mlogloss:0.707378+0.035087
## [351] train-mlogloss:0.118164+0.001758 test-mlogloss:0.708279+0.035252
## [352] train-mlogloss:0.117669+0.001809 test-mlogloss:0.708256+0.035123
## [353] train-mlogloss:0.117360+0.001820 test-mlogloss:0.708865+0.035789
## [354] train-mlogloss:0.116897+0.001758 test-mlogloss:0.709657+0.035351
## [355] train-mlogloss:0.116497+0.001701 test-mlogloss:0.709955+0.035697
## [356] train-mlogloss:0.116025+0.001752 test-mlogloss:0.710308+0.036042
## [357] train-mlogloss:0.115692+0.001759 test-mlogloss:0.710772+0.035950
## [358] train-mlogloss:0.115282+0.001692 test-mlogloss:0.711534+0.036067
## [359] train-mlogloss:0.114940+0.001697 test-mlogloss:0.711654+0.036263
## [360] train-mlogloss:0.114494+0.001756 test-mlogloss:0.712159+0.036094
## [361] train-mlogloss:0.114084+0.001746 test-mlogloss:0.712853+0.036374
## [362] train-mlogloss:0.113802+0.001780 test-mlogloss:0.713250+0.036441
## [363] train-mlogloss:0.113453+0.001788 test-mlogloss:0.713315+0.036374
## [364] train-mlogloss:0.113048+0.001774 test-mlogloss:0.713848+0.036863
## [365] train-mlogloss:0.112720+0.001838 test-mlogloss:0.714023+0.036703
## [366] train-mlogloss:0.112308+0.001841 test-mlogloss:0.714562+0.036735
## [367] train-mlogloss:0.111950+0.001821 test-mlogloss:0.714955+0.036791
## [368] train-mlogloss:0.111620+0.001806 test-mlogloss:0.715403+0.036839
## [369] train-mlogloss:0.111277+0.001785 test-mlogloss:0.715705+0.036857
## [370] train-mlogloss:0.110830+0.001761 test-mlogloss:0.715689+0.036633
## [371] train-mlogloss:0.110467+0.001780 test-mlogloss:0.715981+0.037373
## [372] train-mlogloss:0.110130+0.001820 test-mlogloss:0.716697+0.037396
## [373] train-mlogloss:0.109751+0.001791 test-mlogloss:0.716581+0.036817
## [374] train-mlogloss:0.109363+0.001781 test-mlogloss:0.716972+0.036619
## [375] train-mlogloss:0.109010+0.001762 test-mlogloss:0.717392+0.037004
## [376] train-mlogloss:0.108635+0.001710 test-mlogloss:0.717548+0.037212
## [377] train-mlogloss:0.108222+0.001719 test-mlogloss:0.717841+0.037020
## [378] train-mlogloss:0.107877+0.001685 test-mlogloss:0.718274+0.037358
## [379] train-mlogloss:0.107531+0.001679 test-mlogloss:0.718888+0.037634
## [380] train-mlogloss:0.107264+0.001717 test-mlogloss:0.719239+0.037571
## [381] train-mlogloss:0.106908+0.001725 test-mlogloss:0.719708+0.037422
## [382] train-mlogloss:0.106503+0.001723 test-mlogloss:0.720245+0.038042
## [383] train-mlogloss:0.106125+0.001651 test-mlogloss:0.721052+0.037951
## [384] train-mlogloss:0.105768+0.001707 test-mlogloss:0.721468+0.037972
## [385] train-mlogloss:0.105394+0.001755 test-mlogloss:0.721403+0.038010
## [386] train-mlogloss:0.105085+0.001725 test-mlogloss:0.721811+0.038229
## [387] train-mlogloss:0.104832+0.001698 test-mlogloss:0.722253+0.038149
## [388] train-mlogloss:0.104557+0.001668 test-mlogloss:0.722520+0.038395
## [389] train-mlogloss:0.104183+0.001657 test-mlogloss:0.723070+0.038296
## [390] train-mlogloss:0.103821+0.001631 test-mlogloss:0.723510+0.038136
## [391] train-mlogloss:0.103456+0.001579 test-mlogloss:0.723924+0.038358
## [392] train-mlogloss:0.103130+0.001493 test-mlogloss:0.724920+0.038476
## [393] train-mlogloss:0.102864+0.001433 test-mlogloss:0.725352+0.038288
## [394] train-mlogloss:0.102584+0.001418 test-mlogloss:0.726283+0.037833
## [395] train-mlogloss:0.102228+0.001421 test-mlogloss:0.726328+0.037877
## [396] train-mlogloss:0.101944+0.001420 test-mlogloss:0.726775+0.038240
## [397] train-mlogloss:0.101609+0.001356 test-mlogloss:0.727124+0.038070
## [398] train-mlogloss:0.101245+0.001379 test-mlogloss:0.727498+0.038104
## [399] train-mlogloss:0.100940+0.001382 test-mlogloss:0.727987+0.037840
## [400] train-mlogloss:0.100546+0.001346 test-mlogloss:0.728353+0.037747
## [401] train-mlogloss:0.100259+0.001315 test-mlogloss:0.728616+0.037640
## [402] train-mlogloss:0.099954+0.001271 test-mlogloss:0.728916+0.037666
## [403] train-mlogloss:0.099624+0.001284 test-mlogloss:0.729424+0.037497
## [404] train-mlogloss:0.099345+0.001269 test-mlogloss:0.729819+0.038060
## [405] train-mlogloss:0.098999+0.001300 test-mlogloss:0.730664+0.038077
## [406] train-mlogloss:0.098701+0.001222 test-mlogloss:0.731513+0.038196
## [407] train-mlogloss:0.098355+0.001227 test-mlogloss:0.732032+0.039003
## [408] train-mlogloss:0.098066+0.001193 test-mlogloss:0.732537+0.038793
## [409] train-mlogloss:0.097744+0.001183 test-mlogloss:0.732778+0.039047
## [410] train-mlogloss:0.097448+0.001163 test-mlogloss:0.732877+0.039032
## [411] train-mlogloss:0.097166+0.001124 test-mlogloss:0.734225+0.039365
## [412] train-mlogloss:0.096861+0.001119 test-mlogloss:0.734542+0.038971
## [413] train-mlogloss:0.096575+0.001111 test-mlogloss:0.734615+0.038868
## [414] train-mlogloss:0.096335+0.001099 test-mlogloss:0.734853+0.038755
## [415] train-mlogloss:0.096085+0.001121 test-mlogloss:0.735292+0.039252
## [416] train-mlogloss:0.095824+0.001097 test-mlogloss:0.735742+0.038989
## [417] train-mlogloss:0.095532+0.001090 test-mlogloss:0.736062+0.038972
## [418] train-mlogloss:0.095223+0.001129 test-mlogloss:0.736296+0.039001
## [419] train-mlogloss:0.094907+0.001173 test-mlogloss:0.736894+0.039188
## [420] train-mlogloss:0.094588+0.001248 test-mlogloss:0.737481+0.039104
## [421] train-mlogloss:0.094253+0.001183 test-mlogloss:0.737774+0.039110
## [422] train-mlogloss:0.093995+0.001164 test-mlogloss:0.738208+0.039207
## [423] train-mlogloss:0.093634+0.001218 test-mlogloss:0.738835+0.039879
## [424] train-mlogloss:0.093337+0.001243 test-mlogloss:0.739236+0.040133
## [425] train-mlogloss:0.093023+0.001309 test-mlogloss:0.739944+0.040052
## [426] train-mlogloss:0.092730+0.001310 test-mlogloss:0.740221+0.039995
## [427] train-mlogloss:0.092506+0.001324 test-mlogloss:0.740632+0.039671
## [428] train-mlogloss:0.092250+0.001352 test-mlogloss:0.741313+0.039046
## [429] train-mlogloss:0.092003+0.001353 test-mlogloss:0.741913+0.039386
## [430] train-mlogloss:0.091727+0.001362 test-mlogloss:0.742470+0.039452
## [431] train-mlogloss:0.091465+0.001373 test-mlogloss:0.743095+0.039930
## [432] train-mlogloss:0.091224+0.001309 test-mlogloss:0.743365+0.039999
## [433] train-mlogloss:0.090930+0.001329 test-mlogloss:0.743515+0.040084
## [434] train-mlogloss:0.090644+0.001301 test-mlogloss:0.744187+0.040219
## [435] train-mlogloss:0.090379+0.001324 test-mlogloss:0.744747+0.040273
## [436] train-mlogloss:0.090103+0.001300 test-mlogloss:0.744558+0.040240
## [437] train-mlogloss:0.089814+0.001295 test-mlogloss:0.744762+0.040193
## [438] train-mlogloss:0.089506+0.001375 test-mlogloss:0.745307+0.040819
## [439] train-mlogloss:0.089300+0.001353 test-mlogloss:0.745926+0.040453
## [440] train-mlogloss:0.088994+0.001364 test-mlogloss:0.746405+0.040405
## [441] train-mlogloss:0.088724+0.001351 test-mlogloss:0.747260+0.040004
## [442] train-mlogloss:0.088450+0.001339 test-mlogloss:0.747993+0.040080
## [443] train-mlogloss:0.088240+0.001275 test-mlogloss:0.748714+0.040058
## [444] train-mlogloss:0.087996+0.001312 test-mlogloss:0.749292+0.040325
## [445] train-mlogloss:0.087773+0.001336 test-mlogloss:0.749524+0.040177
## [446] train-mlogloss:0.087441+0.001296 test-mlogloss:0.749684+0.040144
## [447] train-mlogloss:0.087197+0.001271 test-mlogloss:0.749928+0.040145
## [448] train-mlogloss:0.086916+0.001324 test-mlogloss:0.750721+0.040068
## [449] train-mlogloss:0.086643+0.001330 test-mlogloss:0.751155+0.040047
## [450] train-mlogloss:0.086408+0.001330 test-mlogloss:0.751681+0.039907
## [451] train-mlogloss:0.086138+0.001283 test-mlogloss:0.752276+0.039957
## [452] train-mlogloss:0.085857+0.001286 test-mlogloss:0.752612+0.040296
## [453] train-mlogloss:0.085621+0.001333 test-mlogloss:0.753316+0.040084
## [454] train-mlogloss:0.085395+0.001327 test-mlogloss:0.754115+0.040098
## [455] train-mlogloss:0.085145+0.001332 test-mlogloss:0.754500+0.040739
## [456] train-mlogloss:0.084876+0.001324 test-mlogloss:0.755099+0.040955
## [457] train-mlogloss:0.084628+0.001294 test-mlogloss:0.755280+0.040887
## [458] train-mlogloss:0.084316+0.001247 test-mlogloss:0.755748+0.040947
## [459] train-mlogloss:0.084046+0.001209 test-mlogloss:0.756495+0.041083
## [460] train-mlogloss:0.083797+0.001220 test-mlogloss:0.756933+0.041173
## [461] train-mlogloss:0.083562+0.001184 test-mlogloss:0.757074+0.041498
## [462] train-mlogloss:0.083256+0.001170 test-mlogloss:0.757323+0.041406
## [463] train-mlogloss:0.083018+0.001183 test-mlogloss:0.757636+0.041329
## [464] train-mlogloss:0.082830+0.001168 test-mlogloss:0.758279+0.040919
## [465] train-mlogloss:0.082582+0.001232 test-mlogloss:0.758109+0.040690
## [466] train-mlogloss:0.082307+0.001270 test-mlogloss:0.758548+0.040414
## [467] train-mlogloss:0.082066+0.001262 test-mlogloss:0.759159+0.040583
## [468] train-mlogloss:0.081844+0.001260 test-mlogloss:0.759499+0.040870
## [469] train-mlogloss:0.081612+0.001293 test-mlogloss:0.759947+0.040772
## [470] train-mlogloss:0.081341+0.001294 test-mlogloss:0.760317+0.040874
## [471] train-mlogloss:0.081102+0.001280 test-mlogloss:0.760606+0.040591
## [472] train-mlogloss:0.080840+0.001210 test-mlogloss:0.760923+0.040278
## [473] train-mlogloss:0.080620+0.001271 test-mlogloss:0.761567+0.040431
## [474] train-mlogloss:0.080330+0.001192 test-mlogloss:0.761766+0.040075
## [475] train-mlogloss:0.080083+0.001157 test-mlogloss:0.762271+0.039538
## [476] train-mlogloss:0.079870+0.001177 test-mlogloss:0.762315+0.039536
## [477] train-mlogloss:0.079630+0.001199 test-mlogloss:0.762805+0.039528
## [478] train-mlogloss:0.079417+0.001195 test-mlogloss:0.763553+0.039630
## [479] train-mlogloss:0.079157+0.001212 test-mlogloss:0.763733+0.039537
## [480] train-mlogloss:0.078965+0.001229 test-mlogloss:0.764084+0.039498
## [481] train-mlogloss:0.078763+0.001193 test-mlogloss:0.764201+0.039505
## [482] train-mlogloss:0.078585+0.001181 test-mlogloss:0.764284+0.039594
## [483] train-mlogloss:0.078369+0.001193 test-mlogloss:0.764635+0.040007
## [484] train-mlogloss:0.078141+0.001169 test-mlogloss:0.765474+0.039701
## [485] train-mlogloss:0.077963+0.001144 test-mlogloss:0.765868+0.039924
## [486] train-mlogloss:0.077759+0.001096 test-mlogloss:0.766303+0.039758
## [487] train-mlogloss:0.077547+0.001120 test-mlogloss:0.767122+0.040252
## [488] train-mlogloss:0.077297+0.001102 test-mlogloss:0.767065+0.039747
## [489] train-mlogloss:0.077121+0.001098 test-mlogloss:0.766613+0.039471
## [490] train-mlogloss:0.076911+0.001084 test-mlogloss:0.767010+0.040211
## [491] train-mlogloss:0.076637+0.001062 test-mlogloss:0.767177+0.039961
## [492] train-mlogloss:0.076398+0.001112 test-mlogloss:0.767949+0.039929
## [493] train-mlogloss:0.076222+0.001141 test-mlogloss:0.768440+0.040443
## [494] train-mlogloss:0.076034+0.001121 test-mlogloss:0.768735+0.040573
## [495] train-mlogloss:0.075798+0.001096 test-mlogloss:0.769445+0.040382
## [496] train-mlogloss:0.075622+0.001125 test-mlogloss:0.769591+0.040772
## [497] train-mlogloss:0.075436+0.001116 test-mlogloss:0.770029+0.040803
## [498] train-mlogloss:0.075234+0.001125 test-mlogloss:0.770744+0.040701
## [499] train-mlogloss:0.075063+0.001131 test-mlogloss:0.771368+0.040415
## [500] train-mlogloss:0.074830+0.001111 test-mlogloss:0.771436+0.040377
## [1] train-mlogloss:0.593654+0.002270 test-mlogloss:0.627717+0.001770
## [2] train-mlogloss:0.530172+0.002214 test-mlogloss:0.592951+0.003476
## [3] train-mlogloss:0.483506+0.001133 test-mlogloss:0.575147+0.005131
## [4] train-mlogloss:0.446766+0.000881 test-mlogloss:0.565632+0.007111
## [5] train-mlogloss:0.416631+0.000423 test-mlogloss:0.562235+0.009559
## [6] train-mlogloss:0.392200+0.000434 test-mlogloss:0.560917+0.010104
## [7] train-mlogloss:0.370508+0.001567 test-mlogloss:0.561207+0.011662
## [8] train-mlogloss:0.351667+0.002013 test-mlogloss:0.564613+0.010836
## [9] train-mlogloss:0.334759+0.001688 test-mlogloss:0.566460+0.011686
## [10] train-mlogloss:0.320795+0.002062 test-mlogloss:0.568536+0.011921
## [11] train-mlogloss:0.307140+0.002928 test-mlogloss:0.572583+0.013768
## [12] train-mlogloss:0.294597+0.002567 test-mlogloss:0.576163+0.013657
## [13] train-mlogloss:0.283927+0.001924 test-mlogloss:0.579227+0.014241
## [14] train-mlogloss:0.273893+0.002066 test-mlogloss:0.581247+0.014688
## [15] train-mlogloss:0.264575+0.002706 test-mlogloss:0.584125+0.015587
## [16] train-mlogloss:0.255315+0.002031 test-mlogloss:0.588057+0.017301
## [17] train-mlogloss:0.246087+0.002166 test-mlogloss:0.591819+0.018128
## [18] train-mlogloss:0.238174+0.002592 test-mlogloss:0.593994+0.018579
## [19] train-mlogloss:0.230465+0.002233 test-mlogloss:0.597506+0.018860
## [20] train-mlogloss:0.223301+0.002635 test-mlogloss:0.599280+0.019495
## [21] train-mlogloss:0.216277+0.002757 test-mlogloss:0.601080+0.020312
## [22] train-mlogloss:0.209437+0.002932 test-mlogloss:0.603877+0.020934
## [23] train-mlogloss:0.202931+0.003454 test-mlogloss:0.607824+0.021583
## [24] train-mlogloss:0.196772+0.003047 test-mlogloss:0.611083+0.021509
## [25] train-mlogloss:0.191549+0.003297 test-mlogloss:0.613090+0.022155
## [26] train-mlogloss:0.186264+0.003406 test-mlogloss:0.615318+0.022657
## [27] train-mlogloss:0.181144+0.003209 test-mlogloss:0.617904+0.022824
## [28] train-mlogloss:0.176366+0.003132 test-mlogloss:0.620232+0.023693
## [29] train-mlogloss:0.171748+0.003344 test-mlogloss:0.623305+0.023628
## [30] train-mlogloss:0.167062+0.003117 test-mlogloss:0.626546+0.023598
## [31] train-mlogloss:0.162435+0.003011 test-mlogloss:0.629444+0.024687
## [32] train-mlogloss:0.158162+0.002768 test-mlogloss:0.631951+0.024960
## [33] train-mlogloss:0.154355+0.002668 test-mlogloss:0.634825+0.025185
## [34] train-mlogloss:0.150345+0.002742 test-mlogloss:0.636257+0.025090
## [35] train-mlogloss:0.147200+0.002890 test-mlogloss:0.638709+0.025796
## [36] train-mlogloss:0.143436+0.002758 test-mlogloss:0.640946+0.024933
## [37] train-mlogloss:0.140019+0.002727 test-mlogloss:0.642875+0.024974
## [38] train-mlogloss:0.136756+0.002447 test-mlogloss:0.644370+0.024517
## [39] train-mlogloss:0.133744+0.002230 test-mlogloss:0.647192+0.024861
## [40] train-mlogloss:0.130685+0.002117 test-mlogloss:0.648437+0.024469
## [41] train-mlogloss:0.127781+0.002142 test-mlogloss:0.651128+0.023830
## [42] train-mlogloss:0.125086+0.002110 test-mlogloss:0.653389+0.023805
## [43] train-mlogloss:0.122521+0.002072 test-mlogloss:0.655829+0.024536
## [44] train-mlogloss:0.120052+0.001953 test-mlogloss:0.657150+0.024580
## [45] train-mlogloss:0.117547+0.001955 test-mlogloss:0.659780+0.024954
## [46] train-mlogloss:0.115155+0.001884 test-mlogloss:0.662041+0.025908
## [47] train-mlogloss:0.112960+0.001847 test-mlogloss:0.663289+0.026007
## [48] train-mlogloss:0.111032+0.001716 test-mlogloss:0.665661+0.025484
## [49] train-mlogloss:0.108877+0.001746 test-mlogloss:0.667504+0.025190
## [50] train-mlogloss:0.106899+0.001666 test-mlogloss:0.669988+0.024853
## [51] train-mlogloss:0.104927+0.001653 test-mlogloss:0.671515+0.025118
## [52] train-mlogloss:0.103026+0.001688 test-mlogloss:0.672508+0.024999
## [53] train-mlogloss:0.101172+0.001556 test-mlogloss:0.674194+0.025287
## [54] train-mlogloss:0.099531+0.001608 test-mlogloss:0.676120+0.026413
## [55] train-mlogloss:0.097832+0.001481 test-mlogloss:0.677488+0.025962
## [56] train-mlogloss:0.096177+0.001504 test-mlogloss:0.679796+0.026033
## [57] train-mlogloss:0.094540+0.001392 test-mlogloss:0.682158+0.026352
## [58] train-mlogloss:0.093012+0.001295 test-mlogloss:0.684539+0.026025
## [59] train-mlogloss:0.091523+0.001268 test-mlogloss:0.686120+0.025287
## [60] train-mlogloss:0.090141+0.001292 test-mlogloss:0.687301+0.025295
## [61] train-mlogloss:0.088772+0.001227 test-mlogloss:0.688809+0.025537
## [62] train-mlogloss:0.087486+0.001271 test-mlogloss:0.690934+0.025531
## [63] train-mlogloss:0.086142+0.001247 test-mlogloss:0.693191+0.025501
## [64] train-mlogloss:0.084839+0.001233 test-mlogloss:0.694387+0.026012
## [65] train-mlogloss:0.083576+0.001226 test-mlogloss:0.695774+0.026161
## [66] train-mlogloss:0.082390+0.001169 test-mlogloss:0.696745+0.026389
## [67] train-mlogloss:0.081242+0.001166 test-mlogloss:0.698931+0.026856
## [68] train-mlogloss:0.080083+0.001130 test-mlogloss:0.700471+0.026988
## [69] train-mlogloss:0.079010+0.001088 test-mlogloss:0.701635+0.026750
## [70] train-mlogloss:0.077944+0.001018 test-mlogloss:0.703236+0.026787
## [71] train-mlogloss:0.076925+0.001023 test-mlogloss:0.704299+0.026444
## [72] train-mlogloss:0.075893+0.001058 test-mlogloss:0.706592+0.026400
## [73] train-mlogloss:0.074902+0.001074 test-mlogloss:0.708223+0.026198
## [74] train-mlogloss:0.073986+0.001076 test-mlogloss:0.710212+0.025846
## [75] train-mlogloss:0.073060+0.001069 test-mlogloss:0.711364+0.025564
## [76] train-mlogloss:0.072161+0.001037 test-mlogloss:0.712395+0.025868
## [77] train-mlogloss:0.071318+0.000966 test-mlogloss:0.713324+0.025995
## [78] train-mlogloss:0.070426+0.000937 test-mlogloss:0.714027+0.026703
## [79] train-mlogloss:0.069623+0.000910 test-mlogloss:0.715785+0.027268
## [80] train-mlogloss:0.068800+0.000923 test-mlogloss:0.717218+0.027509
## [81] train-mlogloss:0.067996+0.000924 test-mlogloss:0.718539+0.027613
## [82] train-mlogloss:0.067248+0.000877 test-mlogloss:0.719107+0.027825
## [83] train-mlogloss:0.066415+0.000823 test-mlogloss:0.720314+0.027411
## [84] train-mlogloss:0.065688+0.000830 test-mlogloss:0.721847+0.027610
## [85] train-mlogloss:0.064933+0.000822 test-mlogloss:0.723296+0.028184
## [86] train-mlogloss:0.064265+0.000840 test-mlogloss:0.724289+0.028208
## [87] train-mlogloss:0.063563+0.000805 test-mlogloss:0.725335+0.027811
## [88] train-mlogloss:0.062921+0.000823 test-mlogloss:0.726749+0.027012
## [89] train-mlogloss:0.062250+0.000797 test-mlogloss:0.727642+0.027503
## [90] train-mlogloss:0.061630+0.000794 test-mlogloss:0.729404+0.027967
## [91] train-mlogloss:0.060988+0.000768 test-mlogloss:0.731283+0.028369
## [92] train-mlogloss:0.060389+0.000738 test-mlogloss:0.732627+0.029046
## [93] train-mlogloss:0.059765+0.000739 test-mlogloss:0.733804+0.029236
## [94] train-mlogloss:0.059175+0.000733 test-mlogloss:0.734956+0.028479
## [95] train-mlogloss:0.058596+0.000729 test-mlogloss:0.735845+0.029325
## [96] train-mlogloss:0.058026+0.000754 test-mlogloss:0.736987+0.029423
## [97] train-mlogloss:0.057525+0.000755 test-mlogloss:0.737849+0.029174
## [98] train-mlogloss:0.056948+0.000746 test-mlogloss:0.738991+0.028604
## [99] train-mlogloss:0.056440+0.000738 test-mlogloss:0.739759+0.028243
## [100] train-mlogloss:0.055883+0.000690 test-mlogloss:0.740770+0.027960
## [101] train-mlogloss:0.055377+0.000672 test-mlogloss:0.740908+0.027807
## [102] train-mlogloss:0.054842+0.000648 test-mlogloss:0.742330+0.027671
## [103] train-mlogloss:0.054385+0.000626 test-mlogloss:0.743359+0.028100
## [104] train-mlogloss:0.053897+0.000599 test-mlogloss:0.744163+0.027483
## [105] train-mlogloss:0.053434+0.000631 test-mlogloss:0.745814+0.028306
## [106] train-mlogloss:0.052971+0.000669 test-mlogloss:0.746442+0.028594
## [107] train-mlogloss:0.052528+0.000680 test-mlogloss:0.746615+0.028572
## [108] train-mlogloss:0.052080+0.000665 test-mlogloss:0.747541+0.028421
## [109] train-mlogloss:0.051651+0.000666 test-mlogloss:0.748797+0.028791
## [110] train-mlogloss:0.051220+0.000653 test-mlogloss:0.750054+0.028745
## [111] train-mlogloss:0.050788+0.000618 test-mlogloss:0.750564+0.029109
## [112] train-mlogloss:0.050367+0.000630 test-mlogloss:0.751235+0.029303
## [113] train-mlogloss:0.049994+0.000627 test-mlogloss:0.751717+0.029105
## [114] train-mlogloss:0.049613+0.000602 test-mlogloss:0.752305+0.029564
## [115] train-mlogloss:0.049222+0.000588 test-mlogloss:0.753330+0.029617
## [116] train-mlogloss:0.048839+0.000579 test-mlogloss:0.754120+0.029478
## [117] train-mlogloss:0.048463+0.000576 test-mlogloss:0.755003+0.029449
## [118] train-mlogloss:0.048084+0.000570 test-mlogloss:0.756040+0.029321
## [119] train-mlogloss:0.047727+0.000551 test-mlogloss:0.756709+0.029109
## [120] train-mlogloss:0.047370+0.000529 test-mlogloss:0.758132+0.029643
## [121] train-mlogloss:0.047024+0.000522 test-mlogloss:0.759444+0.030178
## [122] train-mlogloss:0.046694+0.000520 test-mlogloss:0.760114+0.030108
## [123] train-mlogloss:0.046354+0.000527 test-mlogloss:0.761059+0.029582
## [124] train-mlogloss:0.046031+0.000542 test-mlogloss:0.761557+0.029417
## [125] train-mlogloss:0.045678+0.000545 test-mlogloss:0.762603+0.029847
## [126] train-mlogloss:0.045350+0.000518 test-mlogloss:0.763205+0.029414
## [127] train-mlogloss:0.045024+0.000516 test-mlogloss:0.764330+0.029563
## [128] train-mlogloss:0.044677+0.000493 test-mlogloss:0.765412+0.029810
## [129] train-mlogloss:0.044377+0.000484 test-mlogloss:0.765831+0.029551
## [130] train-mlogloss:0.044090+0.000493 test-mlogloss:0.766606+0.029562
## [131] train-mlogloss:0.043786+0.000495 test-mlogloss:0.767482+0.029523
## [132] train-mlogloss:0.043503+0.000490 test-mlogloss:0.768573+0.029377
## [133] train-mlogloss:0.043207+0.000492 test-mlogloss:0.769761+0.029831
## [134] train-mlogloss:0.042913+0.000477 test-mlogloss:0.770487+0.029762
## [135] train-mlogloss:0.042618+0.000460 test-mlogloss:0.771466+0.030429
## [136] train-mlogloss:0.042326+0.000473 test-mlogloss:0.772662+0.031115
## [137] train-mlogloss:0.042066+0.000455 test-mlogloss:0.773263+0.031171
## [138] train-mlogloss:0.041801+0.000463 test-mlogloss:0.773357+0.031486
## [139] train-mlogloss:0.041556+0.000462 test-mlogloss:0.773887+0.031199
## [140] train-mlogloss:0.041302+0.000446 test-mlogloss:0.774840+0.031111
## [141] train-mlogloss:0.041026+0.000431 test-mlogloss:0.775306+0.031704
## [142] train-mlogloss:0.040765+0.000392 test-mlogloss:0.776572+0.031252
## [143] train-mlogloss:0.040526+0.000385 test-mlogloss:0.777076+0.031124
## [144] train-mlogloss:0.040288+0.000373 test-mlogloss:0.778224+0.031076
## [145] train-mlogloss:0.040027+0.000383 test-mlogloss:0.779343+0.031843
## [146] train-mlogloss:0.039790+0.000376 test-mlogloss:0.779765+0.031670
## [147] train-mlogloss:0.039535+0.000356 test-mlogloss:0.780569+0.031725
## [148] train-mlogloss:0.039295+0.000366 test-mlogloss:0.781138+0.031755
## [149] train-mlogloss:0.039076+0.000359 test-mlogloss:0.782134+0.031740
## [150] train-mlogloss:0.038850+0.000363 test-mlogloss:0.783323+0.032102
## [151] train-mlogloss:0.038629+0.000361 test-mlogloss:0.783982+0.031777
## [152] train-mlogloss:0.038418+0.000342 test-mlogloss:0.784521+0.031502
## [153] train-mlogloss:0.038206+0.000331 test-mlogloss:0.785075+0.031681
## [154] train-mlogloss:0.037976+0.000331 test-mlogloss:0.785912+0.031991
## [155] train-mlogloss:0.037757+0.000325 test-mlogloss:0.787054+0.031729
## [156] train-mlogloss:0.037550+0.000333 test-mlogloss:0.787681+0.031945
## [157] train-mlogloss:0.037347+0.000332 test-mlogloss:0.788519+0.031969
## [158] train-mlogloss:0.037142+0.000316 test-mlogloss:0.789405+0.032143
## [159] train-mlogloss:0.036936+0.000311 test-mlogloss:0.790022+0.031284
## [160] train-mlogloss:0.036751+0.000305 test-mlogloss:0.790644+0.031315
## [161] train-mlogloss:0.036557+0.000302 test-mlogloss:0.791690+0.031047
## [162] train-mlogloss:0.036368+0.000302 test-mlogloss:0.792571+0.031515
## [163] train-mlogloss:0.036177+0.000298 test-mlogloss:0.793583+0.031131
## [164] train-mlogloss:0.035978+0.000292 test-mlogloss:0.794673+0.031525
## [165] train-mlogloss:0.035806+0.000303 test-mlogloss:0.795377+0.031357
## [166] train-mlogloss:0.035632+0.000305 test-mlogloss:0.795947+0.031363
## [167] train-mlogloss:0.035430+0.000309 test-mlogloss:0.796621+0.031571
## [168] train-mlogloss:0.035250+0.000321 test-mlogloss:0.797877+0.031691
## [169] train-mlogloss:0.035054+0.000324 test-mlogloss:0.798986+0.031490
## [170] train-mlogloss:0.034874+0.000328 test-mlogloss:0.799836+0.031932
## [171] train-mlogloss:0.034697+0.000317 test-mlogloss:0.800224+0.031623
## [172] train-mlogloss:0.034534+0.000302 test-mlogloss:0.800832+0.031785
## [173] train-mlogloss:0.034366+0.000297 test-mlogloss:0.801123+0.031624
## [174] train-mlogloss:0.034192+0.000300 test-mlogloss:0.802074+0.031283
## [175] train-mlogloss:0.034026+0.000292 test-mlogloss:0.803042+0.031848
## [176] train-mlogloss:0.033854+0.000280 test-mlogloss:0.803087+0.032015
## [177] train-mlogloss:0.033693+0.000282 test-mlogloss:0.803268+0.031537
## [178] train-mlogloss:0.033517+0.000293 test-mlogloss:0.804268+0.031662
## [179] train-mlogloss:0.033363+0.000293 test-mlogloss:0.805009+0.031540
## [180] train-mlogloss:0.033210+0.000281 test-mlogloss:0.805916+0.032119
## [181] train-mlogloss:0.033050+0.000280 test-mlogloss:0.806320+0.031912
## [182] train-mlogloss:0.032898+0.000279 test-mlogloss:0.806906+0.031608
## [183] train-mlogloss:0.032744+0.000286 test-mlogloss:0.807305+0.031701
## [184] train-mlogloss:0.032583+0.000287 test-mlogloss:0.807994+0.031124
## [185] train-mlogloss:0.032419+0.000278 test-mlogloss:0.809018+0.031590
## [186] train-mlogloss:0.032270+0.000281 test-mlogloss:0.809235+0.031404
## [187] train-mlogloss:0.032132+0.000283 test-mlogloss:0.810205+0.031539
## [188] train-mlogloss:0.031989+0.000283 test-mlogloss:0.810771+0.031485
## [189] train-mlogloss:0.031851+0.000284 test-mlogloss:0.811289+0.031731
## [190] train-mlogloss:0.031713+0.000304 test-mlogloss:0.811609+0.032072
## [191] train-mlogloss:0.031588+0.000312 test-mlogloss:0.812098+0.032585
## [192] train-mlogloss:0.031457+0.000305 test-mlogloss:0.812774+0.031760
## [193] train-mlogloss:0.031324+0.000304 test-mlogloss:0.813196+0.031535
## [194] train-mlogloss:0.031183+0.000305 test-mlogloss:0.813587+0.031402
## [195] train-mlogloss:0.031062+0.000313 test-mlogloss:0.814368+0.031054
## [196] train-mlogloss:0.030931+0.000308 test-mlogloss:0.814888+0.030979
## [197] train-mlogloss:0.030805+0.000302 test-mlogloss:0.815470+0.031150
## [198] train-mlogloss:0.030683+0.000303 test-mlogloss:0.816247+0.031792
## [199] train-mlogloss:0.030561+0.000289 test-mlogloss:0.817245+0.032375
## [200] train-mlogloss:0.030436+0.000273 test-mlogloss:0.817763+0.031918
## [201] train-mlogloss:0.030314+0.000277 test-mlogloss:0.818281+0.031663
## [202] train-mlogloss:0.030191+0.000274 test-mlogloss:0.818689+0.031950
## [203] train-mlogloss:0.030058+0.000275 test-mlogloss:0.819240+0.032603
## [204] train-mlogloss:0.029944+0.000277 test-mlogloss:0.819522+0.032601
## [205] train-mlogloss:0.029831+0.000271 test-mlogloss:0.820274+0.032865
## [206] train-mlogloss:0.029713+0.000274 test-mlogloss:0.821177+0.032987
## [207] train-mlogloss:0.029588+0.000259 test-mlogloss:0.821290+0.032308
## [208] train-mlogloss:0.029463+0.000248 test-mlogloss:0.821906+0.032455
## [209] train-mlogloss:0.029348+0.000261 test-mlogloss:0.822351+0.031829
## [210] train-mlogloss:0.029237+0.000254 test-mlogloss:0.822868+0.031817
## [211] train-mlogloss:0.029134+0.000250 test-mlogloss:0.824165+0.031664
## [212] train-mlogloss:0.029014+0.000243 test-mlogloss:0.824267+0.032081
## [213] train-mlogloss:0.028907+0.000235 test-mlogloss:0.824519+0.032353
## [214] train-mlogloss:0.028813+0.000237 test-mlogloss:0.825163+0.032444
## [215] train-mlogloss:0.028699+0.000232 test-mlogloss:0.825940+0.032499
## [216] train-mlogloss:0.028588+0.000234 test-mlogloss:0.826903+0.032564
## [217] train-mlogloss:0.028482+0.000236 test-mlogloss:0.827093+0.032375
## [218] train-mlogloss:0.028384+0.000236 test-mlogloss:0.827611+0.032183
## [219] train-mlogloss:0.028279+0.000232 test-mlogloss:0.827835+0.032031
## [220] train-mlogloss:0.028159+0.000228 test-mlogloss:0.828777+0.032146
## [221] train-mlogloss:0.028056+0.000227 test-mlogloss:0.829460+0.032135
## [222] train-mlogloss:0.027959+0.000224 test-mlogloss:0.829610+0.032058
## [223] train-mlogloss:0.027859+0.000232 test-mlogloss:0.829794+0.031966
## [224] train-mlogloss:0.027765+0.000232 test-mlogloss:0.830502+0.031947
## [225] train-mlogloss:0.027667+0.000228 test-mlogloss:0.831158+0.031689
## [226] train-mlogloss:0.027576+0.000227 test-mlogloss:0.831885+0.032299
## [227] train-mlogloss:0.027476+0.000228 test-mlogloss:0.831597+0.032581
## [228] train-mlogloss:0.027374+0.000226 test-mlogloss:0.832508+0.032513
## [229] train-mlogloss:0.027276+0.000231 test-mlogloss:0.833014+0.032767
## [230] train-mlogloss:0.027180+0.000226 test-mlogloss:0.833447+0.032553
## [231] train-mlogloss:0.027083+0.000218 test-mlogloss:0.833873+0.032487
## [232] train-mlogloss:0.026996+0.000217 test-mlogloss:0.834303+0.032663
## [233] train-mlogloss:0.026908+0.000215 test-mlogloss:0.834975+0.032536
## [234] train-mlogloss:0.026823+0.000217 test-mlogloss:0.835396+0.032387
## [235] train-mlogloss:0.026732+0.000216 test-mlogloss:0.836120+0.032897
## [236] train-mlogloss:0.026646+0.000208 test-mlogloss:0.836545+0.033001
## [237] train-mlogloss:0.026555+0.000209 test-mlogloss:0.836989+0.032732
## [238] train-mlogloss:0.026460+0.000208 test-mlogloss:0.837624+0.032734
## [239] train-mlogloss:0.026379+0.000207 test-mlogloss:0.838195+0.032551
## [240] train-mlogloss:0.026284+0.000212 test-mlogloss:0.838339+0.032364
## [241] train-mlogloss:0.026190+0.000215 test-mlogloss:0.838857+0.032645
## [242] train-mlogloss:0.026108+0.000207 test-mlogloss:0.839338+0.032182
## [243] train-mlogloss:0.026025+0.000208 test-mlogloss:0.839986+0.032484
## [244] train-mlogloss:0.025940+0.000205 test-mlogloss:0.839829+0.031984
## [245] train-mlogloss:0.025858+0.000206 test-mlogloss:0.840796+0.031864
## [246] train-mlogloss:0.025778+0.000209 test-mlogloss:0.841374+0.032096
## [247] train-mlogloss:0.025699+0.000203 test-mlogloss:0.841906+0.032015
## [248] train-mlogloss:0.025612+0.000202 test-mlogloss:0.842098+0.032205
## [249] train-mlogloss:0.025530+0.000195 test-mlogloss:0.842542+0.032340
## [250] train-mlogloss:0.025443+0.000196 test-mlogloss:0.843044+0.032292
## [251] train-mlogloss:0.025372+0.000189 test-mlogloss:0.843426+0.032389
## [252] train-mlogloss:0.025294+0.000187 test-mlogloss:0.844021+0.032197
## [253] train-mlogloss:0.025206+0.000189 test-mlogloss:0.844432+0.032529
## [254] train-mlogloss:0.025132+0.000186 test-mlogloss:0.845153+0.032374
## [255] train-mlogloss:0.025057+0.000185 test-mlogloss:0.845657+0.032102
## [256] train-mlogloss:0.024988+0.000183 test-mlogloss:0.846311+0.032143
## [257] train-mlogloss:0.024920+0.000196 test-mlogloss:0.846193+0.032103
## [258] train-mlogloss:0.024855+0.000195 test-mlogloss:0.846514+0.032094
## [259] train-mlogloss:0.024771+0.000205 test-mlogloss:0.847244+0.032181
## [260] train-mlogloss:0.024693+0.000208 test-mlogloss:0.847488+0.032058
## [261] train-mlogloss:0.024627+0.000206 test-mlogloss:0.847825+0.032407
## [262] train-mlogloss:0.024552+0.000207 test-mlogloss:0.848206+0.032697
## [263] train-mlogloss:0.024482+0.000201 test-mlogloss:0.848407+0.032943
## [264] train-mlogloss:0.024410+0.000207 test-mlogloss:0.849190+0.032882
## [265] train-mlogloss:0.024340+0.000208 test-mlogloss:0.849544+0.032849
## [266] train-mlogloss:0.024273+0.000207 test-mlogloss:0.849549+0.032937
## [267] train-mlogloss:0.024199+0.000209 test-mlogloss:0.850340+0.033067
## [268] train-mlogloss:0.024136+0.000207 test-mlogloss:0.850701+0.033015
## [269] train-mlogloss:0.024065+0.000207 test-mlogloss:0.851300+0.033179
## [270] train-mlogloss:0.024000+0.000201 test-mlogloss:0.851763+0.033492
## [271] train-mlogloss:0.023935+0.000203 test-mlogloss:0.852376+0.033808
## [272] train-mlogloss:0.023861+0.000204 test-mlogloss:0.852251+0.034162
## [273] train-mlogloss:0.023801+0.000200 test-mlogloss:0.852691+0.034614
## [274] train-mlogloss:0.023733+0.000197 test-mlogloss:0.853000+0.034441
## [275] train-mlogloss:0.023671+0.000200 test-mlogloss:0.853240+0.034613
## [276] train-mlogloss:0.023605+0.000206 test-mlogloss:0.853521+0.034626
## [277] train-mlogloss:0.023540+0.000202 test-mlogloss:0.853545+0.034494
## [278] train-mlogloss:0.023479+0.000191 test-mlogloss:0.854270+0.034625
## [279] train-mlogloss:0.023413+0.000199 test-mlogloss:0.854683+0.035134
## [280] train-mlogloss:0.023350+0.000201 test-mlogloss:0.854984+0.035340
## [281] train-mlogloss:0.023286+0.000206 test-mlogloss:0.855288+0.035678
## [282] train-mlogloss:0.023227+0.000204 test-mlogloss:0.855293+0.035528
## [283] train-mlogloss:0.023162+0.000206 test-mlogloss:0.855641+0.035338
## [284] train-mlogloss:0.023104+0.000212 test-mlogloss:0.855620+0.034864
## [285] train-mlogloss:0.023034+0.000210 test-mlogloss:0.856373+0.035194
## [286] train-mlogloss:0.022972+0.000208 test-mlogloss:0.856790+0.035342
## [287] train-mlogloss:0.022914+0.000209 test-mlogloss:0.857416+0.035261
## [288] train-mlogloss:0.022848+0.000212 test-mlogloss:0.858027+0.035078
## [289] train-mlogloss:0.022786+0.000205 test-mlogloss:0.858849+0.035055
## [290] train-mlogloss:0.022719+0.000211 test-mlogloss:0.859397+0.034753
## [291] train-mlogloss:0.022662+0.000210 test-mlogloss:0.859442+0.034426
## [292] train-mlogloss:0.022596+0.000211 test-mlogloss:0.860426+0.034121
## [293] train-mlogloss:0.022535+0.000210 test-mlogloss:0.861121+0.034284
## [294] train-mlogloss:0.022479+0.000208 test-mlogloss:0.861477+0.034100
## [295] train-mlogloss:0.022422+0.000207 test-mlogloss:0.862469+0.034486
## [296] train-mlogloss:0.022365+0.000212 test-mlogloss:0.863120+0.034399
## [297] train-mlogloss:0.022309+0.000219 test-mlogloss:0.863170+0.034574
## [298] train-mlogloss:0.022248+0.000209 test-mlogloss:0.862998+0.034647
## [299] train-mlogloss:0.022182+0.000212 test-mlogloss:0.863025+0.034755
## [300] train-mlogloss:0.022128+0.000210 test-mlogloss:0.863566+0.035068
## [301] train-mlogloss:0.022072+0.000213 test-mlogloss:0.863870+0.034823
## [302] train-mlogloss:0.022019+0.000210 test-mlogloss:0.864217+0.034780
## [303] train-mlogloss:0.021964+0.000208 test-mlogloss:0.864607+0.034808
## [304] train-mlogloss:0.021907+0.000204 test-mlogloss:0.864964+0.034757
## [305] train-mlogloss:0.021854+0.000203 test-mlogloss:0.865138+0.034824
## [306] train-mlogloss:0.021804+0.000195 test-mlogloss:0.865538+0.034404
## [307] train-mlogloss:0.021746+0.000186 test-mlogloss:0.865855+0.034722
## [308] train-mlogloss:0.021699+0.000189 test-mlogloss:0.866301+0.034690
## [309] train-mlogloss:0.021654+0.000188 test-mlogloss:0.866772+0.034614
## [310] train-mlogloss:0.021598+0.000185 test-mlogloss:0.866860+0.034832
## [311] train-mlogloss:0.021547+0.000191 test-mlogloss:0.867028+0.034571
## [312] train-mlogloss:0.021496+0.000188 test-mlogloss:0.867677+0.034973
## [313] train-mlogloss:0.021439+0.000184 test-mlogloss:0.868438+0.035435
## [314] train-mlogloss:0.021394+0.000180 test-mlogloss:0.868685+0.035307
## [315] train-mlogloss:0.021347+0.000174 test-mlogloss:0.868659+0.035153
## [316] train-mlogloss:0.021291+0.000171 test-mlogloss:0.869412+0.034759
## [317] train-mlogloss:0.021245+0.000171 test-mlogloss:0.869882+0.034583
## [318] train-mlogloss:0.021198+0.000170 test-mlogloss:0.869894+0.034612
## [319] train-mlogloss:0.021146+0.000167 test-mlogloss:0.870361+0.034698
## [320] train-mlogloss:0.021094+0.000168 test-mlogloss:0.870583+0.034844
## [321] train-mlogloss:0.021045+0.000166 test-mlogloss:0.871157+0.035010
## [322] train-mlogloss:0.020997+0.000169 test-mlogloss:0.871682+0.034838
## [323] train-mlogloss:0.020945+0.000165 test-mlogloss:0.872021+0.034574
## [324] train-mlogloss:0.020889+0.000170 test-mlogloss:0.872508+0.034673
## [325] train-mlogloss:0.020842+0.000160 test-mlogloss:0.873087+0.034996
## [326] train-mlogloss:0.020793+0.000156 test-mlogloss:0.873278+0.035200
## [327] train-mlogloss:0.020737+0.000158 test-mlogloss:0.873672+0.035225
## [328] train-mlogloss:0.020690+0.000153 test-mlogloss:0.873882+0.035069
## [329] train-mlogloss:0.020647+0.000148 test-mlogloss:0.874590+0.034836
## [330] train-mlogloss:0.020600+0.000144 test-mlogloss:0.874820+0.035163
## [331] train-mlogloss:0.020554+0.000143 test-mlogloss:0.875105+0.035476
## [332] train-mlogloss:0.020512+0.000141 test-mlogloss:0.875301+0.035589
## [333] train-mlogloss:0.020465+0.000137 test-mlogloss:0.875787+0.035295
## [334] train-mlogloss:0.020414+0.000136 test-mlogloss:0.876234+0.035747
## [335] train-mlogloss:0.020366+0.000133 test-mlogloss:0.876473+0.036034
## [336] train-mlogloss:0.020324+0.000133 test-mlogloss:0.876835+0.036213
## [337] train-mlogloss:0.020280+0.000127 test-mlogloss:0.877383+0.036186
## [338] train-mlogloss:0.020236+0.000125 test-mlogloss:0.877742+0.035873
## [339] train-mlogloss:0.020196+0.000122 test-mlogloss:0.878003+0.036039
## [340] train-mlogloss:0.020152+0.000120 test-mlogloss:0.877867+0.036154
## [341] train-mlogloss:0.020105+0.000120 test-mlogloss:0.878237+0.036392
## [342] train-mlogloss:0.020062+0.000120 test-mlogloss:0.878577+0.036265
## [343] train-mlogloss:0.020021+0.000127 test-mlogloss:0.878930+0.036204
## [344] train-mlogloss:0.019981+0.000129 test-mlogloss:0.879176+0.036027
## [345] train-mlogloss:0.019939+0.000136 test-mlogloss:0.879301+0.035990
## [346] train-mlogloss:0.019896+0.000134 test-mlogloss:0.879745+0.036183
## [347] train-mlogloss:0.019850+0.000133 test-mlogloss:0.880186+0.036383
## [348] train-mlogloss:0.019810+0.000132 test-mlogloss:0.880257+0.036050
## [349] train-mlogloss:0.019772+0.000130 test-mlogloss:0.880504+0.036050
## [350] train-mlogloss:0.019729+0.000135 test-mlogloss:0.881092+0.036454
## [351] train-mlogloss:0.019685+0.000138 test-mlogloss:0.881633+0.036616
## [352] train-mlogloss:0.019647+0.000137 test-mlogloss:0.882032+0.036587
## [353] train-mlogloss:0.019603+0.000135 test-mlogloss:0.882427+0.036701
## [354] train-mlogloss:0.019560+0.000133 test-mlogloss:0.882869+0.036633
## [355] train-mlogloss:0.019518+0.000130 test-mlogloss:0.883077+0.036618
## [356] train-mlogloss:0.019474+0.000135 test-mlogloss:0.883311+0.036625
## [357] train-mlogloss:0.019432+0.000137 test-mlogloss:0.883490+0.036612
## [358] train-mlogloss:0.019389+0.000137 test-mlogloss:0.884096+0.036802
## [359] train-mlogloss:0.019349+0.000136 test-mlogloss:0.884454+0.036934
## [360] train-mlogloss:0.019311+0.000134 test-mlogloss:0.884754+0.036994
## [361] train-mlogloss:0.019271+0.000133 test-mlogloss:0.885273+0.037304
## [362] train-mlogloss:0.019231+0.000134 test-mlogloss:0.885407+0.037521
## [363] train-mlogloss:0.019191+0.000127 test-mlogloss:0.885765+0.037798
## [364] train-mlogloss:0.019151+0.000127 test-mlogloss:0.885944+0.037955
## [365] train-mlogloss:0.019113+0.000126 test-mlogloss:0.886369+0.038365
## [366] train-mlogloss:0.019077+0.000128 test-mlogloss:0.887023+0.038568
## [367] train-mlogloss:0.019038+0.000130 test-mlogloss:0.887335+0.038690
## [368] train-mlogloss:0.019001+0.000132 test-mlogloss:0.887446+0.038753
## [369] train-mlogloss:0.018962+0.000129 test-mlogloss:0.887747+0.038748
## [370] train-mlogloss:0.018924+0.000126 test-mlogloss:0.888166+0.038905
## [371] train-mlogloss:0.018883+0.000127 test-mlogloss:0.887851+0.038539
## [372] train-mlogloss:0.018850+0.000122 test-mlogloss:0.888340+0.038569
## [373] train-mlogloss:0.018812+0.000123 test-mlogloss:0.888764+0.038684
## [374] train-mlogloss:0.018782+0.000123 test-mlogloss:0.889075+0.038505
## [375] train-mlogloss:0.018742+0.000126 test-mlogloss:0.889035+0.038393
## [376] train-mlogloss:0.018703+0.000126 test-mlogloss:0.889295+0.038602
## [377] train-mlogloss:0.018670+0.000122 test-mlogloss:0.889823+0.038636
## [378] train-mlogloss:0.018632+0.000116 test-mlogloss:0.890005+0.038583
## [379] train-mlogloss:0.018601+0.000111 test-mlogloss:0.890193+0.038238
## [380] train-mlogloss:0.018567+0.000108 test-mlogloss:0.890451+0.037761
## [381] train-mlogloss:0.018533+0.000104 test-mlogloss:0.890463+0.037579
## [382] train-mlogloss:0.018501+0.000103 test-mlogloss:0.890570+0.037406
## [383] train-mlogloss:0.018465+0.000107 test-mlogloss:0.890744+0.037042
## [384] train-mlogloss:0.018428+0.000107 test-mlogloss:0.891410+0.037588
## [385] train-mlogloss:0.018397+0.000107 test-mlogloss:0.891551+0.038017
## [386] train-mlogloss:0.018360+0.000108 test-mlogloss:0.891843+0.038282
## [387] train-mlogloss:0.018326+0.000109 test-mlogloss:0.892287+0.038530
## [388] train-mlogloss:0.018291+0.000107 test-mlogloss:0.892351+0.037948
## [389] train-mlogloss:0.018256+0.000111 test-mlogloss:0.892749+0.038150
## [390] train-mlogloss:0.018221+0.000113 test-mlogloss:0.893226+0.038066
## [391] train-mlogloss:0.018183+0.000114 test-mlogloss:0.893586+0.038357
## [392] train-mlogloss:0.018149+0.000117 test-mlogloss:0.894034+0.038662
## [393] train-mlogloss:0.018120+0.000117 test-mlogloss:0.894266+0.038504
## [394] train-mlogloss:0.018087+0.000119 test-mlogloss:0.894476+0.038347
## [395] train-mlogloss:0.018054+0.000116 test-mlogloss:0.894849+0.038654
## [396] train-mlogloss:0.018020+0.000116 test-mlogloss:0.895377+0.038369
## [397] train-mlogloss:0.017988+0.000114 test-mlogloss:0.895534+0.038438
## [398] train-mlogloss:0.017954+0.000108 test-mlogloss:0.896002+0.038643
## [399] train-mlogloss:0.017924+0.000110 test-mlogloss:0.896545+0.038524
## [400] train-mlogloss:0.017890+0.000114 test-mlogloss:0.896711+0.038613
## [401] train-mlogloss:0.017853+0.000117 test-mlogloss:0.897347+0.038840
## [402] train-mlogloss:0.017817+0.000115 test-mlogloss:0.897646+0.039219
## [403] train-mlogloss:0.017783+0.000105 test-mlogloss:0.898005+0.039655
## [404] train-mlogloss:0.017752+0.000101 test-mlogloss:0.898133+0.039637
## [405] train-mlogloss:0.017716+0.000109 test-mlogloss:0.898359+0.039549
## [406] train-mlogloss:0.017686+0.000110 test-mlogloss:0.898438+0.039175
## [407] train-mlogloss:0.017658+0.000111 test-mlogloss:0.898470+0.038829
## [408] train-mlogloss:0.017627+0.000114 test-mlogloss:0.898737+0.039148
## [409] train-mlogloss:0.017599+0.000114 test-mlogloss:0.899028+0.038978
## [410] train-mlogloss:0.017571+0.000113 test-mlogloss:0.899746+0.039193
## [411] train-mlogloss:0.017536+0.000113 test-mlogloss:0.899485+0.039130
## [412] train-mlogloss:0.017506+0.000115 test-mlogloss:0.899875+0.038763
## [413] train-mlogloss:0.017476+0.000114 test-mlogloss:0.899757+0.038721
## [414] train-mlogloss:0.017448+0.000111 test-mlogloss:0.900847+0.038667
## [415] train-mlogloss:0.017418+0.000111 test-mlogloss:0.901033+0.038819
## [416] train-mlogloss:0.017392+0.000105 test-mlogloss:0.901200+0.038758
## [417] train-mlogloss:0.017366+0.000109 test-mlogloss:0.901385+0.038765
## [418] train-mlogloss:0.017337+0.000104 test-mlogloss:0.901576+0.038681
## [419] train-mlogloss:0.017310+0.000104 test-mlogloss:0.902060+0.038840
## [420] train-mlogloss:0.017285+0.000106 test-mlogloss:0.902436+0.038867
## [421] train-mlogloss:0.017255+0.000109 test-mlogloss:0.902600+0.038502
## [422] train-mlogloss:0.017227+0.000110 test-mlogloss:0.902861+0.038529
## [423] train-mlogloss:0.017200+0.000109 test-mlogloss:0.902807+0.038556
## [424] train-mlogloss:0.017172+0.000110 test-mlogloss:0.902957+0.038644
## [425] train-mlogloss:0.017146+0.000110 test-mlogloss:0.903372+0.038679
## [426] train-mlogloss:0.017115+0.000111 test-mlogloss:0.903639+0.038271
## [427] train-mlogloss:0.017086+0.000112 test-mlogloss:0.904176+0.038280
## [428] train-mlogloss:0.017054+0.000113 test-mlogloss:0.904738+0.038387
## [429] train-mlogloss:0.017027+0.000113 test-mlogloss:0.904697+0.038240
## [430] train-mlogloss:0.016997+0.000114 test-mlogloss:0.905046+0.038263
## [431] train-mlogloss:0.016972+0.000113 test-mlogloss:0.905031+0.038683
## [432] train-mlogloss:0.016943+0.000113 test-mlogloss:0.905324+0.038164
## [433] train-mlogloss:0.016913+0.000114 test-mlogloss:0.905522+0.038558
## [434] train-mlogloss:0.016889+0.000112 test-mlogloss:0.905975+0.038501
## [435] train-mlogloss:0.016867+0.000111 test-mlogloss:0.906516+0.038486
## [436] train-mlogloss:0.016841+0.000107 test-mlogloss:0.906882+0.038240
## [437] train-mlogloss:0.016813+0.000106 test-mlogloss:0.906971+0.038189
## [438] train-mlogloss:0.016781+0.000106 test-mlogloss:0.907345+0.037933
## [439] train-mlogloss:0.016750+0.000106 test-mlogloss:0.907870+0.038061
## [440] train-mlogloss:0.016722+0.000106 test-mlogloss:0.908220+0.038245
## [441] train-mlogloss:0.016697+0.000108 test-mlogloss:0.908656+0.038417
## [442] train-mlogloss:0.016672+0.000110 test-mlogloss:0.908906+0.038598
## [443] train-mlogloss:0.016647+0.000109 test-mlogloss:0.909317+0.038697
## [444] train-mlogloss:0.016622+0.000111 test-mlogloss:0.909337+0.038945
## [445] train-mlogloss:0.016597+0.000115 test-mlogloss:0.909377+0.038783
## [446] train-mlogloss:0.016570+0.000117 test-mlogloss:0.909358+0.039105
## [447] train-mlogloss:0.016544+0.000113 test-mlogloss:0.909380+0.038707
## [448] train-mlogloss:0.016515+0.000114 test-mlogloss:0.909794+0.039000
## [449] train-mlogloss:0.016489+0.000111 test-mlogloss:0.909732+0.038947
## [450] train-mlogloss:0.016465+0.000109 test-mlogloss:0.910036+0.038891
## [451] train-mlogloss:0.016438+0.000108 test-mlogloss:0.910795+0.039159
## [452] train-mlogloss:0.016410+0.000109 test-mlogloss:0.910928+0.039351
## [453] train-mlogloss:0.016388+0.000107 test-mlogloss:0.911284+0.039263
## [454] train-mlogloss:0.016360+0.000106 test-mlogloss:0.911520+0.039359
## [455] train-mlogloss:0.016333+0.000105 test-mlogloss:0.911809+0.039583
## [456] train-mlogloss:0.016307+0.000104 test-mlogloss:0.912059+0.039333
## [457] train-mlogloss:0.016284+0.000104 test-mlogloss:0.912498+0.039356
## [458] train-mlogloss:0.016259+0.000103 test-mlogloss:0.912979+0.039364
## [459] train-mlogloss:0.016238+0.000103 test-mlogloss:0.912961+0.038966
## [460] train-mlogloss:0.016210+0.000101 test-mlogloss:0.912878+0.038751
## [461] train-mlogloss:0.016184+0.000104 test-mlogloss:0.913014+0.038513
## [462] train-mlogloss:0.016159+0.000102 test-mlogloss:0.913641+0.038275
## [463] train-mlogloss:0.016137+0.000104 test-mlogloss:0.913909+0.038201
## [464] train-mlogloss:0.016115+0.000106 test-mlogloss:0.914223+0.038117
## [465] train-mlogloss:0.016092+0.000104 test-mlogloss:0.914325+0.038313
## [466] train-mlogloss:0.016069+0.000106 test-mlogloss:0.914591+0.038341
## [467] train-mlogloss:0.016044+0.000107 test-mlogloss:0.914587+0.038584
## [468] train-mlogloss:0.016022+0.000109 test-mlogloss:0.915105+0.038386
## [469] train-mlogloss:0.015999+0.000109 test-mlogloss:0.915445+0.038259
## [470] train-mlogloss:0.015976+0.000112 test-mlogloss:0.915540+0.038188
## [471] train-mlogloss:0.015949+0.000112 test-mlogloss:0.915608+0.038346
## [472] train-mlogloss:0.015928+0.000111 test-mlogloss:0.916184+0.038046
## [473] train-mlogloss:0.015907+0.000109 test-mlogloss:0.916601+0.038230
## [474] train-mlogloss:0.015882+0.000111 test-mlogloss:0.916480+0.038312
## [475] train-mlogloss:0.015859+0.000108 test-mlogloss:0.916688+0.038346
## [476] train-mlogloss:0.015836+0.000107 test-mlogloss:0.917322+0.038205
## [477] train-mlogloss:0.015813+0.000109 test-mlogloss:0.917253+0.038204
## [478] train-mlogloss:0.015791+0.000107 test-mlogloss:0.917460+0.038584
## [479] train-mlogloss:0.015767+0.000107 test-mlogloss:0.917557+0.038458
## [480] train-mlogloss:0.015741+0.000108 test-mlogloss:0.917572+0.038238
## [481] train-mlogloss:0.015719+0.000110 test-mlogloss:0.917711+0.038401
## [482] train-mlogloss:0.015697+0.000110 test-mlogloss:0.917939+0.038478
## [483] train-mlogloss:0.015673+0.000111 test-mlogloss:0.918301+0.038552
## [484] train-mlogloss:0.015653+0.000111 test-mlogloss:0.918806+0.038952
## [485] train-mlogloss:0.015632+0.000110 test-mlogloss:0.918992+0.038895
## [486] train-mlogloss:0.015607+0.000109 test-mlogloss:0.919183+0.039222
## [487] train-mlogloss:0.015584+0.000106 test-mlogloss:0.919169+0.038858
## [488] train-mlogloss:0.015561+0.000105 test-mlogloss:0.919698+0.038986
## [489] train-mlogloss:0.015539+0.000105 test-mlogloss:0.919669+0.039129
## [490] train-mlogloss:0.015516+0.000104 test-mlogloss:0.919980+0.038900
## [491] train-mlogloss:0.015491+0.000103 test-mlogloss:0.920402+0.038866
## [492] train-mlogloss:0.015467+0.000100 test-mlogloss:0.920586+0.039296
## [493] train-mlogloss:0.015448+0.000099 test-mlogloss:0.921033+0.039258
## [494] train-mlogloss:0.015428+0.000102 test-mlogloss:0.921071+0.039436
## [495] train-mlogloss:0.015406+0.000102 test-mlogloss:0.921529+0.038979
## [496] train-mlogloss:0.015388+0.000101 test-mlogloss:0.921710+0.039048
## [497] train-mlogloss:0.015369+0.000101 test-mlogloss:0.921923+0.039119
## [498] train-mlogloss:0.015348+0.000102 test-mlogloss:0.922255+0.038934
## [499] train-mlogloss:0.015326+0.000103 test-mlogloss:0.922446+0.039059
## [500] train-mlogloss:0.015304+0.000104 test-mlogloss:0.922628+0.038610
## [1] train-mlogloss:0.540189+0.002872 test-mlogloss:0.557986+0.008231
## [2] train-mlogloss:0.510774+0.002628 test-mlogloss:0.543000+0.007870
## [3] train-mlogloss:0.499609+0.001851 test-mlogloss:0.540639+0.009435
## [4] train-mlogloss:0.491170+0.002459 test-mlogloss:0.541824+0.013152
## [5] train-mlogloss:0.485282+0.003187 test-mlogloss:0.545629+0.013877
## [6] train-mlogloss:0.478713+0.003301 test-mlogloss:0.549446+0.013850
## [7] train-mlogloss:0.472944+0.004808 test-mlogloss:0.551827+0.014608
## [8] train-mlogloss:0.465258+0.004662 test-mlogloss:0.555578+0.014157
## [9] train-mlogloss:0.458436+0.004727 test-mlogloss:0.559306+0.013627
## [10] train-mlogloss:0.451794+0.004282 test-mlogloss:0.563828+0.012998
## [11] train-mlogloss:0.445928+0.005859 test-mlogloss:0.567781+0.014141
## [12] train-mlogloss:0.441152+0.006539 test-mlogloss:0.571058+0.014982
## [13] train-mlogloss:0.435467+0.005944 test-mlogloss:0.574614+0.017003
## [14] train-mlogloss:0.430634+0.005981 test-mlogloss:0.578538+0.016321
## [15] train-mlogloss:0.425384+0.005941 test-mlogloss:0.582343+0.016939
## [16] train-mlogloss:0.419772+0.006261 test-mlogloss:0.586955+0.018029
## [17] train-mlogloss:0.415053+0.006084 test-mlogloss:0.588450+0.017737
## [18] train-mlogloss:0.410840+0.006158 test-mlogloss:0.590953+0.018067
## [19] train-mlogloss:0.404617+0.005152 test-mlogloss:0.593563+0.018096
## [20] train-mlogloss:0.400954+0.005481 test-mlogloss:0.594951+0.018317
## [21] train-mlogloss:0.396560+0.005943 test-mlogloss:0.596572+0.018278
## [22] train-mlogloss:0.391242+0.005029 test-mlogloss:0.599322+0.018460
## [23] train-mlogloss:0.385879+0.004772 test-mlogloss:0.602288+0.018999
## [24] train-mlogloss:0.381602+0.005510 test-mlogloss:0.604058+0.020905
## [25] train-mlogloss:0.377317+0.005319 test-mlogloss:0.607838+0.021638
## [26] train-mlogloss:0.373017+0.005321 test-mlogloss:0.611387+0.019612
## [27] train-mlogloss:0.369630+0.006101 test-mlogloss:0.612694+0.019051
## [28] train-mlogloss:0.365829+0.005783 test-mlogloss:0.615887+0.019037
## [29] train-mlogloss:0.361973+0.005942 test-mlogloss:0.619003+0.016120
## [30] train-mlogloss:0.357169+0.005999 test-mlogloss:0.622412+0.017221
## [31] train-mlogloss:0.352585+0.005538 test-mlogloss:0.625427+0.016659
## [32] train-mlogloss:0.348200+0.005327 test-mlogloss:0.629941+0.016527
## [33] train-mlogloss:0.344139+0.006614 test-mlogloss:0.633096+0.019292
## [34] train-mlogloss:0.339762+0.006515 test-mlogloss:0.636298+0.017832
## [35] train-mlogloss:0.336319+0.006256 test-mlogloss:0.637572+0.018728
## [36] train-mlogloss:0.332220+0.006073 test-mlogloss:0.639486+0.018538
## [37] train-mlogloss:0.328691+0.006221 test-mlogloss:0.641535+0.019369
## [38] train-mlogloss:0.324623+0.005584 test-mlogloss:0.643856+0.019240
## [39] train-mlogloss:0.321460+0.005414 test-mlogloss:0.646829+0.021834
## [40] train-mlogloss:0.318106+0.005424 test-mlogloss:0.649618+0.023893
## [41] train-mlogloss:0.314738+0.005810 test-mlogloss:0.652071+0.025252
## [42] train-mlogloss:0.310504+0.005987 test-mlogloss:0.655768+0.027057
## [43] train-mlogloss:0.307028+0.006140 test-mlogloss:0.657858+0.025976
## [44] train-mlogloss:0.303936+0.004874 test-mlogloss:0.659649+0.025664
## [45] train-mlogloss:0.300965+0.005208 test-mlogloss:0.659783+0.026489
## [46] train-mlogloss:0.297903+0.005307 test-mlogloss:0.662536+0.028921
## [47] train-mlogloss:0.294474+0.005961 test-mlogloss:0.663788+0.029633
## [48] train-mlogloss:0.291317+0.005446 test-mlogloss:0.664327+0.031635
## [49] train-mlogloss:0.288349+0.005598 test-mlogloss:0.666474+0.031221
## [50] train-mlogloss:0.285169+0.005973 test-mlogloss:0.668610+0.031624
## [51] train-mlogloss:0.281873+0.006115 test-mlogloss:0.671815+0.030722
## [52] train-mlogloss:0.278812+0.005525 test-mlogloss:0.674534+0.029748
## [53] train-mlogloss:0.276395+0.006384 test-mlogloss:0.675340+0.028720
## [54] train-mlogloss:0.273582+0.006726 test-mlogloss:0.677680+0.029001
## [55] train-mlogloss:0.270712+0.007317 test-mlogloss:0.680348+0.027407
## [56] train-mlogloss:0.266982+0.007120 test-mlogloss:0.682727+0.026889
## [57] train-mlogloss:0.263941+0.006802 test-mlogloss:0.684836+0.027592
## [58] train-mlogloss:0.261323+0.006714 test-mlogloss:0.685236+0.027282
## [59] train-mlogloss:0.258181+0.006498 test-mlogloss:0.687362+0.027487
## [60] train-mlogloss:0.255121+0.006199 test-mlogloss:0.689442+0.027677
## [61] train-mlogloss:0.252295+0.006187 test-mlogloss:0.692501+0.029627
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## [63] train-mlogloss:0.246376+0.006539 test-mlogloss:0.695858+0.029489
## [64] train-mlogloss:0.243407+0.007325 test-mlogloss:0.697898+0.028668
## [65] train-mlogloss:0.240993+0.007202 test-mlogloss:0.699745+0.030199
## [66] train-mlogloss:0.238307+0.006672 test-mlogloss:0.702135+0.029478
## [67] train-mlogloss:0.235915+0.006459 test-mlogloss:0.704484+0.030085
## [68] train-mlogloss:0.232905+0.006103 test-mlogloss:0.707377+0.030918
## [69] train-mlogloss:0.230694+0.006116 test-mlogloss:0.709282+0.031161
## [70] train-mlogloss:0.227991+0.005998 test-mlogloss:0.712461+0.031366
## [71] train-mlogloss:0.225152+0.006317 test-mlogloss:0.714594+0.032572
## [72] train-mlogloss:0.222954+0.006710 test-mlogloss:0.717344+0.033865
## [73] train-mlogloss:0.220470+0.006720 test-mlogloss:0.717963+0.033129
## [74] train-mlogloss:0.218253+0.007186 test-mlogloss:0.721245+0.034799
## [75] train-mlogloss:0.215936+0.007345 test-mlogloss:0.720580+0.035155
## [76] train-mlogloss:0.213686+0.007488 test-mlogloss:0.723518+0.034893
## [77] train-mlogloss:0.211572+0.007243 test-mlogloss:0.726330+0.035696
## [78] train-mlogloss:0.209401+0.007247 test-mlogloss:0.727922+0.034851
## [79] train-mlogloss:0.207505+0.007590 test-mlogloss:0.729616+0.036339
## [80] train-mlogloss:0.205608+0.007326 test-mlogloss:0.730887+0.036944
## [81] train-mlogloss:0.203511+0.006957 test-mlogloss:0.733024+0.035954
## [82] train-mlogloss:0.200955+0.006434 test-mlogloss:0.736151+0.036378
## [83] train-mlogloss:0.198752+0.005714 test-mlogloss:0.736485+0.036891
## [84] train-mlogloss:0.196286+0.005451 test-mlogloss:0.739643+0.036291
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## [86] train-mlogloss:0.191899+0.005822 test-mlogloss:0.743478+0.037446
## [87] train-mlogloss:0.189557+0.005612 test-mlogloss:0.743570+0.037929
## [88] train-mlogloss:0.187910+0.005517 test-mlogloss:0.744072+0.037752
## [89] train-mlogloss:0.186050+0.005485 test-mlogloss:0.746106+0.038746
## [90] train-mlogloss:0.184302+0.005585 test-mlogloss:0.747209+0.037414
## [91] train-mlogloss:0.182131+0.005347 test-mlogloss:0.749903+0.039348
## [92] train-mlogloss:0.180294+0.004810 test-mlogloss:0.751922+0.039096
## [93] train-mlogloss:0.178598+0.005122 test-mlogloss:0.753082+0.038507
## [94] train-mlogloss:0.176950+0.005271 test-mlogloss:0.755012+0.037629
## [95] train-mlogloss:0.175175+0.005334 test-mlogloss:0.757476+0.039735
## [96] train-mlogloss:0.173754+0.005503 test-mlogloss:0.758203+0.039591
## [97] train-mlogloss:0.171798+0.005407 test-mlogloss:0.760217+0.040200
## [98] train-mlogloss:0.170278+0.005490 test-mlogloss:0.761607+0.040093
## [99] train-mlogloss:0.168363+0.005487 test-mlogloss:0.762753+0.040446
## [100] train-mlogloss:0.166695+0.005732 test-mlogloss:0.764214+0.040308
## [101] train-mlogloss:0.164994+0.005962 test-mlogloss:0.768737+0.039681
## [102] train-mlogloss:0.163370+0.005866 test-mlogloss:0.770156+0.040303
## [103] train-mlogloss:0.161803+0.006091 test-mlogloss:0.771585+0.039546
## [104] train-mlogloss:0.160046+0.006251 test-mlogloss:0.773061+0.039074
## [105] train-mlogloss:0.158530+0.006094 test-mlogloss:0.774901+0.038780
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## [107] train-mlogloss:0.155052+0.006158 test-mlogloss:0.777747+0.036228
## [108] train-mlogloss:0.153476+0.006102 test-mlogloss:0.779943+0.035268
## [109] train-mlogloss:0.152052+0.005883 test-mlogloss:0.781524+0.036232
## [110] train-mlogloss:0.150452+0.005577 test-mlogloss:0.784535+0.033866
## [111] train-mlogloss:0.149133+0.005398 test-mlogloss:0.786123+0.033976
## [112] train-mlogloss:0.147878+0.005359 test-mlogloss:0.786797+0.034351
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## [117] train-mlogloss:0.141378+0.005591 test-mlogloss:0.796892+0.035105
## [118] train-mlogloss:0.140093+0.005436 test-mlogloss:0.798008+0.035940
## [119] train-mlogloss:0.138805+0.005523 test-mlogloss:0.799061+0.036697
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## [122] train-mlogloss:0.134741+0.005606 test-mlogloss:0.806403+0.036435
## [123] train-mlogloss:0.133216+0.005755 test-mlogloss:0.807353+0.036204
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## [127] train-mlogloss:0.128321+0.004745 test-mlogloss:0.813919+0.035164
## [128] train-mlogloss:0.126919+0.004564 test-mlogloss:0.815799+0.036075
## [129] train-mlogloss:0.125539+0.004517 test-mlogloss:0.816951+0.035877
## [130] train-mlogloss:0.124477+0.004482 test-mlogloss:0.818744+0.035446
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## [133] train-mlogloss:0.120955+0.004107 test-mlogloss:0.822973+0.039119
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## [136] train-mlogloss:0.117754+0.003845 test-mlogloss:0.827725+0.038937
## [137] train-mlogloss:0.116841+0.003972 test-mlogloss:0.830175+0.038636
## [138] train-mlogloss:0.115805+0.004201 test-mlogloss:0.831050+0.037864
## [139] train-mlogloss:0.114707+0.003997 test-mlogloss:0.833910+0.039443
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## [141] train-mlogloss:0.112554+0.003673 test-mlogloss:0.836959+0.037838
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## [227] train-mlogloss:0.056705+0.001350 test-mlogloss:0.937181+0.041111
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## [229] train-mlogloss:0.056020+0.001300 test-mlogloss:0.940401+0.040774
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## [261] train-mlogloss:0.046410+0.001046 test-mlogloss:0.973800+0.044104
## [262] train-mlogloss:0.046175+0.000971 test-mlogloss:0.975017+0.044968
## [263] train-mlogloss:0.045907+0.001032 test-mlogloss:0.976868+0.045454
## [264] train-mlogloss:0.045615+0.001013 test-mlogloss:0.977236+0.044727
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## [267] train-mlogloss:0.044856+0.000964 test-mlogloss:0.979803+0.044544
## [268] train-mlogloss:0.044595+0.000957 test-mlogloss:0.981475+0.044733
## [269] train-mlogloss:0.044290+0.000972 test-mlogloss:0.983167+0.045101
## [270] train-mlogloss:0.044040+0.001028 test-mlogloss:0.984164+0.044008
## [271] train-mlogloss:0.043801+0.001060 test-mlogloss:0.985901+0.043331
## [272] train-mlogloss:0.043535+0.001074 test-mlogloss:0.986068+0.043348
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## [274] train-mlogloss:0.043052+0.001004 test-mlogloss:0.984789+0.044150
## [275] train-mlogloss:0.042824+0.000999 test-mlogloss:0.985788+0.044165
## [276] train-mlogloss:0.042590+0.000937 test-mlogloss:0.986448+0.043860
## [277] train-mlogloss:0.042293+0.000985 test-mlogloss:0.986848+0.043524
## [278] train-mlogloss:0.042061+0.000958 test-mlogloss:0.987372+0.043252
## [279] train-mlogloss:0.041784+0.000958 test-mlogloss:0.987292+0.043263
## [280] train-mlogloss:0.041525+0.000955 test-mlogloss:0.989027+0.043287
## [281] train-mlogloss:0.041294+0.000961 test-mlogloss:0.991607+0.042440
## [282] train-mlogloss:0.041032+0.000901 test-mlogloss:0.992753+0.042703
## [283] train-mlogloss:0.040850+0.000911 test-mlogloss:0.994148+0.042169
## [284] train-mlogloss:0.040654+0.000928 test-mlogloss:0.994653+0.042181
## [285] train-mlogloss:0.040391+0.000903 test-mlogloss:0.995499+0.042059
## [286] train-mlogloss:0.040099+0.000874 test-mlogloss:0.996042+0.042669
## [287] train-mlogloss:0.039917+0.000860 test-mlogloss:0.997491+0.042230
## [288] train-mlogloss:0.039719+0.000860 test-mlogloss:0.998030+0.042513
## [289] train-mlogloss:0.039549+0.000855 test-mlogloss:0.998980+0.041780
## [290] train-mlogloss:0.039350+0.000884 test-mlogloss:0.999290+0.042174
## [291] train-mlogloss:0.039165+0.000851 test-mlogloss:1.000416+0.041136
## [292] train-mlogloss:0.038988+0.000825 test-mlogloss:1.000380+0.041554
## [293] train-mlogloss:0.038762+0.000831 test-mlogloss:1.002232+0.041769
## [294] train-mlogloss:0.038583+0.000857 test-mlogloss:1.003397+0.041758
## [295] train-mlogloss:0.038420+0.000815 test-mlogloss:1.004670+0.041757
## [296] train-mlogloss:0.038220+0.000797 test-mlogloss:1.005550+0.042093
## [297] train-mlogloss:0.037991+0.000849 test-mlogloss:1.006398+0.041463
## [298] train-mlogloss:0.037825+0.000891 test-mlogloss:1.007943+0.041271
## [299] train-mlogloss:0.037599+0.000899 test-mlogloss:1.008186+0.040469
## [300] train-mlogloss:0.037454+0.000938 test-mlogloss:1.010056+0.040694
## [301] train-mlogloss:0.037253+0.000892 test-mlogloss:1.009121+0.039722
## [302] train-mlogloss:0.037074+0.000823 test-mlogloss:1.009706+0.040637
## [303] train-mlogloss:0.036911+0.000799 test-mlogloss:1.010691+0.040236
## [304] train-mlogloss:0.036700+0.000763 test-mlogloss:1.012380+0.040710
## [305] train-mlogloss:0.036549+0.000755 test-mlogloss:1.013574+0.040839
## [306] train-mlogloss:0.036377+0.000751 test-mlogloss:1.015123+0.040985
## [307] train-mlogloss:0.036172+0.000758 test-mlogloss:1.016307+0.040398
## [308] train-mlogloss:0.035983+0.000722 test-mlogloss:1.017415+0.040326
## [309] train-mlogloss:0.035807+0.000723 test-mlogloss:1.017603+0.041621
## [310] train-mlogloss:0.035656+0.000709 test-mlogloss:1.017848+0.041014
## [311] train-mlogloss:0.035491+0.000747 test-mlogloss:1.018955+0.041028
## [312] train-mlogloss:0.035316+0.000743 test-mlogloss:1.019530+0.041769
## [313] train-mlogloss:0.035139+0.000743 test-mlogloss:1.022242+0.040448
## [314] train-mlogloss:0.034964+0.000709 test-mlogloss:1.021357+0.038887
## [315] train-mlogloss:0.034820+0.000720 test-mlogloss:1.023392+0.039820
## [316] train-mlogloss:0.034629+0.000698 test-mlogloss:1.024121+0.040425
## [317] train-mlogloss:0.034460+0.000672 test-mlogloss:1.025218+0.040013
## [318] train-mlogloss:0.034328+0.000675 test-mlogloss:1.026040+0.040168
## [319] train-mlogloss:0.034199+0.000663 test-mlogloss:1.026689+0.039611
## [320] train-mlogloss:0.034020+0.000655 test-mlogloss:1.028123+0.041051
## [321] train-mlogloss:0.033875+0.000660 test-mlogloss:1.028054+0.040300
## [322] train-mlogloss:0.033738+0.000659 test-mlogloss:1.027828+0.040622
## [323] train-mlogloss:0.033573+0.000640 test-mlogloss:1.029939+0.040995
## [324] train-mlogloss:0.033490+0.000663 test-mlogloss:1.030301+0.040232
## [325] train-mlogloss:0.033314+0.000660 test-mlogloss:1.031339+0.040348
## [326] train-mlogloss:0.033171+0.000676 test-mlogloss:1.032014+0.040601
## [327] train-mlogloss:0.033026+0.000669 test-mlogloss:1.032190+0.040746
## [328] train-mlogloss:0.032880+0.000657 test-mlogloss:1.033537+0.041130
## [329] train-mlogloss:0.032729+0.000651 test-mlogloss:1.034505+0.042140
## [330] train-mlogloss:0.032620+0.000657 test-mlogloss:1.034691+0.042262
## [331] train-mlogloss:0.032477+0.000693 test-mlogloss:1.035314+0.041240
## [332] train-mlogloss:0.032353+0.000704 test-mlogloss:1.035624+0.040295
## [333] train-mlogloss:0.032179+0.000655 test-mlogloss:1.036480+0.041109
## [334] train-mlogloss:0.032026+0.000635 test-mlogloss:1.035943+0.040294
## [335] train-mlogloss:0.031868+0.000665 test-mlogloss:1.037961+0.040668
## [336] train-mlogloss:0.031727+0.000653 test-mlogloss:1.038615+0.040092
## [337] train-mlogloss:0.031571+0.000669 test-mlogloss:1.038443+0.039739
## [338] train-mlogloss:0.031429+0.000650 test-mlogloss:1.038575+0.040759
## [339] train-mlogloss:0.031276+0.000660 test-mlogloss:1.040128+0.040709
## [340] train-mlogloss:0.031141+0.000674 test-mlogloss:1.040257+0.041607
## [341] train-mlogloss:0.030970+0.000664 test-mlogloss:1.041863+0.041548
## [342] train-mlogloss:0.030825+0.000659 test-mlogloss:1.043667+0.042114
## [343] train-mlogloss:0.030708+0.000646 test-mlogloss:1.044270+0.041793
## [344] train-mlogloss:0.030567+0.000679 test-mlogloss:1.046727+0.041682
## [345] train-mlogloss:0.030443+0.000684 test-mlogloss:1.047620+0.042442
## [346] train-mlogloss:0.030308+0.000696 test-mlogloss:1.048902+0.041938
## [347] train-mlogloss:0.030201+0.000676 test-mlogloss:1.049294+0.041620
## [348] train-mlogloss:0.030053+0.000698 test-mlogloss:1.050079+0.041387
## [349] train-mlogloss:0.029943+0.000717 test-mlogloss:1.051024+0.040731
## [350] train-mlogloss:0.029833+0.000729 test-mlogloss:1.051051+0.041082
## [351] train-mlogloss:0.029733+0.000762 test-mlogloss:1.052033+0.040552
## [352] train-mlogloss:0.029641+0.000762 test-mlogloss:1.052292+0.040575
## [353] train-mlogloss:0.029527+0.000763 test-mlogloss:1.053646+0.040908
## [354] train-mlogloss:0.029425+0.000730 test-mlogloss:1.054530+0.041205
## [355] train-mlogloss:0.029302+0.000740 test-mlogloss:1.054714+0.041614
## [356] train-mlogloss:0.029183+0.000749 test-mlogloss:1.056607+0.041267
## [357] train-mlogloss:0.029086+0.000720 test-mlogloss:1.056862+0.041957
## [358] train-mlogloss:0.028961+0.000725 test-mlogloss:1.057215+0.041537
## [359] train-mlogloss:0.028831+0.000734 test-mlogloss:1.057720+0.041506
## [360] train-mlogloss:0.028741+0.000716 test-mlogloss:1.058906+0.041419
## [361] train-mlogloss:0.028647+0.000721 test-mlogloss:1.058832+0.040924
## [362] train-mlogloss:0.028483+0.000701 test-mlogloss:1.059127+0.041615
## [363] train-mlogloss:0.028379+0.000665 test-mlogloss:1.060294+0.041486
## [364] train-mlogloss:0.028320+0.000673 test-mlogloss:1.059110+0.041508
## [365] train-mlogloss:0.028222+0.000670 test-mlogloss:1.059722+0.042785
## [366] train-mlogloss:0.028134+0.000624 test-mlogloss:1.059765+0.042800
## [367] train-mlogloss:0.027995+0.000633 test-mlogloss:1.060296+0.043243
## [368] train-mlogloss:0.027866+0.000616 test-mlogloss:1.060810+0.042949
## [369] train-mlogloss:0.027734+0.000654 test-mlogloss:1.061216+0.043757
## [370] train-mlogloss:0.027628+0.000650 test-mlogloss:1.061636+0.043223
## [371] train-mlogloss:0.027546+0.000644 test-mlogloss:1.062509+0.042713
## [372] train-mlogloss:0.027423+0.000637 test-mlogloss:1.063438+0.043406
## [373] train-mlogloss:0.027309+0.000647 test-mlogloss:1.063322+0.043130
## [374] train-mlogloss:0.027205+0.000611 test-mlogloss:1.063552+0.043233
## [375] train-mlogloss:0.027109+0.000602 test-mlogloss:1.063355+0.042671
## [376] train-mlogloss:0.026965+0.000584 test-mlogloss:1.064328+0.042470
## [377] train-mlogloss:0.026854+0.000603 test-mlogloss:1.064901+0.042371
## [378] train-mlogloss:0.026758+0.000628 test-mlogloss:1.065832+0.042667
## [379] train-mlogloss:0.026672+0.000635 test-mlogloss:1.066900+0.042344
## [380] train-mlogloss:0.026582+0.000657 test-mlogloss:1.067495+0.042735
## [381] train-mlogloss:0.026492+0.000678 test-mlogloss:1.068005+0.044146
## [382] train-mlogloss:0.026402+0.000673 test-mlogloss:1.068002+0.043787
## [383] train-mlogloss:0.026296+0.000692 test-mlogloss:1.069192+0.043645
## [384] train-mlogloss:0.026207+0.000681 test-mlogloss:1.070424+0.045160
## [385] train-mlogloss:0.026115+0.000694 test-mlogloss:1.070048+0.045329
## [386] train-mlogloss:0.026013+0.000696 test-mlogloss:1.069695+0.046751
## [387] train-mlogloss:0.025931+0.000699 test-mlogloss:1.069929+0.047511
## [388] train-mlogloss:0.025852+0.000692 test-mlogloss:1.070736+0.047134
## [389] train-mlogloss:0.025760+0.000695 test-mlogloss:1.071240+0.047111
## [390] train-mlogloss:0.025649+0.000665 test-mlogloss:1.072357+0.046298
## [391] train-mlogloss:0.025577+0.000642 test-mlogloss:1.072997+0.046525
## [392] train-mlogloss:0.025488+0.000629 test-mlogloss:1.073979+0.046969
## [393] train-mlogloss:0.025392+0.000638 test-mlogloss:1.073668+0.047025
## [394] train-mlogloss:0.025310+0.000626 test-mlogloss:1.073921+0.046162
## [395] train-mlogloss:0.025199+0.000600 test-mlogloss:1.073632+0.046733
## [396] train-mlogloss:0.025081+0.000593 test-mlogloss:1.073652+0.046463
## [397] train-mlogloss:0.024996+0.000601 test-mlogloss:1.074351+0.047069
## [398] train-mlogloss:0.024889+0.000595 test-mlogloss:1.076409+0.047425
## [399] train-mlogloss:0.024796+0.000626 test-mlogloss:1.076038+0.047216
## [400] train-mlogloss:0.024721+0.000615 test-mlogloss:1.076484+0.046752
## [401] train-mlogloss:0.024625+0.000611 test-mlogloss:1.077156+0.046821
## [402] train-mlogloss:0.024539+0.000615 test-mlogloss:1.077792+0.046951
## [403] train-mlogloss:0.024438+0.000616 test-mlogloss:1.079491+0.046944
## [404] train-mlogloss:0.024363+0.000605 test-mlogloss:1.080535+0.046930
## [405] train-mlogloss:0.024280+0.000620 test-mlogloss:1.081145+0.045959
## [406] train-mlogloss:0.024222+0.000629 test-mlogloss:1.081150+0.045771
## [407] train-mlogloss:0.024157+0.000615 test-mlogloss:1.081632+0.046243
## [408] train-mlogloss:0.024072+0.000609 test-mlogloss:1.082794+0.046440
## [409] train-mlogloss:0.023996+0.000614 test-mlogloss:1.083653+0.046493
## [410] train-mlogloss:0.023943+0.000631 test-mlogloss:1.084515+0.046387
## [411] train-mlogloss:0.023854+0.000645 test-mlogloss:1.084795+0.047417
## [412] train-mlogloss:0.023807+0.000648 test-mlogloss:1.084828+0.047723
## [413] train-mlogloss:0.023726+0.000646 test-mlogloss:1.084980+0.047876
## [414] train-mlogloss:0.023644+0.000612 test-mlogloss:1.085376+0.048576
## [415] train-mlogloss:0.023553+0.000615 test-mlogloss:1.086279+0.048285
## [416] train-mlogloss:0.023475+0.000623 test-mlogloss:1.086462+0.048475
## [417] train-mlogloss:0.023411+0.000623 test-mlogloss:1.087119+0.048141
## [418] train-mlogloss:0.023322+0.000623 test-mlogloss:1.087056+0.048258
## [419] train-mlogloss:0.023260+0.000601 test-mlogloss:1.087744+0.048716
## [420] train-mlogloss:0.023196+0.000606 test-mlogloss:1.087093+0.048104
## [421] train-mlogloss:0.023123+0.000611 test-mlogloss:1.086837+0.048860
## [422] train-mlogloss:0.023071+0.000611 test-mlogloss:1.086836+0.048543
## [423] train-mlogloss:0.023018+0.000600 test-mlogloss:1.087730+0.048683
## [424] train-mlogloss:0.022948+0.000598 test-mlogloss:1.087653+0.049192
## [425] train-mlogloss:0.022882+0.000575 test-mlogloss:1.088342+0.048741
## [426] train-mlogloss:0.022803+0.000541 test-mlogloss:1.088829+0.047693
## [427] train-mlogloss:0.022726+0.000546 test-mlogloss:1.089779+0.047668
## [428] train-mlogloss:0.022653+0.000519 test-mlogloss:1.090185+0.048377
## [429] train-mlogloss:0.022583+0.000524 test-mlogloss:1.090179+0.049263
## [430] train-mlogloss:0.022505+0.000525 test-mlogloss:1.090288+0.049960
## [431] train-mlogloss:0.022451+0.000520 test-mlogloss:1.091375+0.050389
## [432] train-mlogloss:0.022381+0.000512 test-mlogloss:1.092713+0.050220
## [433] train-mlogloss:0.022311+0.000526 test-mlogloss:1.094219+0.049366
## [434] train-mlogloss:0.022241+0.000521 test-mlogloss:1.093199+0.048787
## [435] train-mlogloss:0.022170+0.000496 test-mlogloss:1.094765+0.049787
## [436] train-mlogloss:0.022091+0.000475 test-mlogloss:1.095079+0.050481
## [437] train-mlogloss:0.022002+0.000477 test-mlogloss:1.096098+0.050342
## [438] train-mlogloss:0.021944+0.000477 test-mlogloss:1.095683+0.050295
## [439] train-mlogloss:0.021867+0.000493 test-mlogloss:1.096230+0.050147
## [440] train-mlogloss:0.021796+0.000478 test-mlogloss:1.097197+0.051417
## [441] train-mlogloss:0.021737+0.000458 test-mlogloss:1.098263+0.050937
## [442] train-mlogloss:0.021657+0.000487 test-mlogloss:1.098822+0.050320
## [443] train-mlogloss:0.021606+0.000484 test-mlogloss:1.099627+0.050137
## [444] train-mlogloss:0.021544+0.000471 test-mlogloss:1.100712+0.049970
## [445] train-mlogloss:0.021489+0.000465 test-mlogloss:1.101616+0.050003
## [446] train-mlogloss:0.021422+0.000449 test-mlogloss:1.102113+0.049776
## [447] train-mlogloss:0.021358+0.000450 test-mlogloss:1.103123+0.050139
## [448] train-mlogloss:0.021292+0.000436 test-mlogloss:1.103568+0.050288
## [449] train-mlogloss:0.021239+0.000423 test-mlogloss:1.104215+0.050709
## [450] train-mlogloss:0.021160+0.000406 test-mlogloss:1.103368+0.050415
## [451] train-mlogloss:0.021093+0.000396 test-mlogloss:1.103834+0.050985
## [452] train-mlogloss:0.021010+0.000393 test-mlogloss:1.105113+0.051500
## [453] train-mlogloss:0.020957+0.000395 test-mlogloss:1.105449+0.051847
## [454] train-mlogloss:0.020897+0.000392 test-mlogloss:1.106652+0.051700
## [455] train-mlogloss:0.020821+0.000393 test-mlogloss:1.107382+0.051776
## [456] train-mlogloss:0.020772+0.000404 test-mlogloss:1.108795+0.052846
## [457] train-mlogloss:0.020702+0.000377 test-mlogloss:1.109752+0.052056
## [458] train-mlogloss:0.020616+0.000373 test-mlogloss:1.109799+0.052780
## [459] train-mlogloss:0.020573+0.000374 test-mlogloss:1.109382+0.052873
## [460] train-mlogloss:0.020504+0.000373 test-mlogloss:1.110449+0.052896
## [461] train-mlogloss:0.020452+0.000348 test-mlogloss:1.111086+0.052500
## [462] train-mlogloss:0.020392+0.000328 test-mlogloss:1.112181+0.052248
## [463] train-mlogloss:0.020334+0.000322 test-mlogloss:1.112286+0.051919
## [464] train-mlogloss:0.020276+0.000322 test-mlogloss:1.113117+0.052447
## [465] train-mlogloss:0.020211+0.000322 test-mlogloss:1.113588+0.052624
## [466] train-mlogloss:0.020143+0.000299 test-mlogloss:1.114632+0.053448
## [467] train-mlogloss:0.020086+0.000297 test-mlogloss:1.114654+0.052571
## [468] train-mlogloss:0.020019+0.000286 test-mlogloss:1.114902+0.052249
## [469] train-mlogloss:0.019961+0.000283 test-mlogloss:1.115222+0.051324
## [470] train-mlogloss:0.019904+0.000284 test-mlogloss:1.115014+0.052023
## [471] train-mlogloss:0.019853+0.000285 test-mlogloss:1.116039+0.051349
## [472] train-mlogloss:0.019791+0.000279 test-mlogloss:1.116501+0.051548
## [473] train-mlogloss:0.019726+0.000261 test-mlogloss:1.118500+0.051837
## [474] train-mlogloss:0.019678+0.000249 test-mlogloss:1.117607+0.051335
## [475] train-mlogloss:0.019632+0.000242 test-mlogloss:1.118679+0.051621
## [476] train-mlogloss:0.019564+0.000230 test-mlogloss:1.119675+0.052133
## [477] train-mlogloss:0.019509+0.000240 test-mlogloss:1.121097+0.053213
## [478] train-mlogloss:0.019445+0.000235 test-mlogloss:1.120983+0.052849
## [479] train-mlogloss:0.019389+0.000230 test-mlogloss:1.121438+0.053672
## [480] train-mlogloss:0.019337+0.000224 test-mlogloss:1.122660+0.053353
## [481] train-mlogloss:0.019261+0.000215 test-mlogloss:1.122683+0.051762
## [482] train-mlogloss:0.019207+0.000224 test-mlogloss:1.121746+0.051983
## [483] train-mlogloss:0.019157+0.000223 test-mlogloss:1.121655+0.051318
## [484] train-mlogloss:0.019111+0.000230 test-mlogloss:1.122195+0.051554
## [485] train-mlogloss:0.019046+0.000230 test-mlogloss:1.121779+0.051947
## [486] train-mlogloss:0.018993+0.000227 test-mlogloss:1.121344+0.052170
## [487] train-mlogloss:0.018955+0.000244 test-mlogloss:1.120778+0.052154
## [488] train-mlogloss:0.018912+0.000239 test-mlogloss:1.121145+0.052111
## [489] train-mlogloss:0.018859+0.000220 test-mlogloss:1.121955+0.051239
## [490] train-mlogloss:0.018800+0.000212 test-mlogloss:1.123287+0.051879
## [491] train-mlogloss:0.018736+0.000188 test-mlogloss:1.123177+0.051526
## [492] train-mlogloss:0.018678+0.000190 test-mlogloss:1.124043+0.050983
## [493] train-mlogloss:0.018643+0.000181 test-mlogloss:1.124196+0.051463
## [494] train-mlogloss:0.018603+0.000168 test-mlogloss:1.124200+0.050788
## [495] train-mlogloss:0.018561+0.000166 test-mlogloss:1.125118+0.050357
## [496] train-mlogloss:0.018495+0.000169 test-mlogloss:1.126809+0.050711
## [497] train-mlogloss:0.018446+0.000156 test-mlogloss:1.126856+0.051454
## [498] train-mlogloss:0.018388+0.000140 test-mlogloss:1.125947+0.051106
## [499] train-mlogloss:0.018340+0.000153 test-mlogloss:1.126321+0.050708
## [500] train-mlogloss:0.018283+0.000155 test-mlogloss:1.127108+0.050855
## [1] train-mlogloss:0.489650+0.003332 test-mlogloss:0.577955+0.010225
## [2] train-mlogloss:0.417767+0.006336 test-mlogloss:0.580885+0.010809
## [3] train-mlogloss:0.368079+0.005018 test-mlogloss:0.595261+0.019689
## [4] train-mlogloss:0.330622+0.004299 test-mlogloss:0.611096+0.021437
## [5] train-mlogloss:0.301327+0.004638 test-mlogloss:0.628836+0.022746
## [6] train-mlogloss:0.275129+0.003203 test-mlogloss:0.647257+0.024730
## [7] train-mlogloss:0.252638+0.002430 test-mlogloss:0.661561+0.026150
## [8] train-mlogloss:0.232880+0.002604 test-mlogloss:0.674487+0.024996
## [9] train-mlogloss:0.214962+0.002581 test-mlogloss:0.684050+0.026404
## [10] train-mlogloss:0.199190+0.003296 test-mlogloss:0.693652+0.031647
## [11] train-mlogloss:0.185083+0.003257 test-mlogloss:0.702593+0.031988
## [12] train-mlogloss:0.172698+0.003443 test-mlogloss:0.713420+0.031144
## [13] train-mlogloss:0.161233+0.003607 test-mlogloss:0.722557+0.032182
## [14] train-mlogloss:0.151267+0.003073 test-mlogloss:0.730176+0.035183
## [15] train-mlogloss:0.141940+0.002976 test-mlogloss:0.734753+0.031495
## [16] train-mlogloss:0.134063+0.002757 test-mlogloss:0.741772+0.031032
## [17] train-mlogloss:0.126654+0.002272 test-mlogloss:0.749763+0.032300
## [18] train-mlogloss:0.119588+0.002013 test-mlogloss:0.756455+0.031598
## [19] train-mlogloss:0.113849+0.002055 test-mlogloss:0.766796+0.032520
## [20] train-mlogloss:0.108446+0.002114 test-mlogloss:0.770676+0.033582
## [21] train-mlogloss:0.103606+0.002193 test-mlogloss:0.778832+0.035765
## [22] train-mlogloss:0.098942+0.001960 test-mlogloss:0.784110+0.036812
## [23] train-mlogloss:0.094428+0.002204 test-mlogloss:0.788758+0.037030
## [24] train-mlogloss:0.090713+0.002123 test-mlogloss:0.793583+0.036095
## [25] train-mlogloss:0.087089+0.002105 test-mlogloss:0.798348+0.036232
## [26] train-mlogloss:0.083768+0.001895 test-mlogloss:0.802067+0.034123
## [27] train-mlogloss:0.080715+0.001702 test-mlogloss:0.808432+0.033242
## [28] train-mlogloss:0.077702+0.001489 test-mlogloss:0.811784+0.031499
## [29] train-mlogloss:0.074977+0.001209 test-mlogloss:0.815519+0.031821
## [30] train-mlogloss:0.072554+0.001002 test-mlogloss:0.817704+0.031014
## [31] train-mlogloss:0.070283+0.001071 test-mlogloss:0.822180+0.032288
## [32] train-mlogloss:0.068079+0.001060 test-mlogloss:0.826133+0.030979
## [33] train-mlogloss:0.065999+0.001017 test-mlogloss:0.832247+0.032185
## [34] train-mlogloss:0.063911+0.001002 test-mlogloss:0.835333+0.033023
## [35] train-mlogloss:0.062281+0.001025 test-mlogloss:0.838267+0.031974
## [36] train-mlogloss:0.060513+0.000972 test-mlogloss:0.842069+0.031383
## [37] train-mlogloss:0.058911+0.000924 test-mlogloss:0.846121+0.031008
## [38] train-mlogloss:0.057423+0.000839 test-mlogloss:0.850711+0.032752
## [39] train-mlogloss:0.056003+0.000838 test-mlogloss:0.852964+0.031654
## [40] train-mlogloss:0.054646+0.000835 test-mlogloss:0.856204+0.032354
## [41] train-mlogloss:0.053278+0.000807 test-mlogloss:0.857407+0.032496
## [42] train-mlogloss:0.052040+0.000846 test-mlogloss:0.861586+0.034634
## [43] train-mlogloss:0.050936+0.000863 test-mlogloss:0.865087+0.033429
## [44] train-mlogloss:0.049788+0.000835 test-mlogloss:0.866347+0.035021
## [45] train-mlogloss:0.048716+0.000798 test-mlogloss:0.870025+0.035714
## [46] train-mlogloss:0.047718+0.000801 test-mlogloss:0.870529+0.035816
## [47] train-mlogloss:0.046707+0.000716 test-mlogloss:0.872802+0.033857
## [48] train-mlogloss:0.045785+0.000818 test-mlogloss:0.875159+0.036432
## [49] train-mlogloss:0.044976+0.000784 test-mlogloss:0.877478+0.034563
## [50] train-mlogloss:0.044206+0.000783 test-mlogloss:0.881451+0.034669
## [51] train-mlogloss:0.043435+0.000732 test-mlogloss:0.884155+0.034466
## [52] train-mlogloss:0.042610+0.000709 test-mlogloss:0.886405+0.032509
## [53] train-mlogloss:0.041884+0.000732 test-mlogloss:0.889466+0.033811
## [54] train-mlogloss:0.041141+0.000725 test-mlogloss:0.893009+0.035665
## [55] train-mlogloss:0.040441+0.000682 test-mlogloss:0.895384+0.034307
## [56] train-mlogloss:0.039784+0.000648 test-mlogloss:0.897389+0.034447
## [57] train-mlogloss:0.039169+0.000640 test-mlogloss:0.899336+0.032865
## [58] train-mlogloss:0.038488+0.000637 test-mlogloss:0.902375+0.032734
## [59] train-mlogloss:0.037930+0.000656 test-mlogloss:0.903043+0.034733
## [60] train-mlogloss:0.037392+0.000632 test-mlogloss:0.905049+0.034600
## [61] train-mlogloss:0.036836+0.000630 test-mlogloss:0.907991+0.034828
## [62] train-mlogloss:0.036312+0.000638 test-mlogloss:0.909849+0.035283
## [63] train-mlogloss:0.035801+0.000589 test-mlogloss:0.911752+0.037172
## [64] train-mlogloss:0.035333+0.000560 test-mlogloss:0.914137+0.035204
## [65] train-mlogloss:0.034803+0.000547 test-mlogloss:0.915680+0.036307
## [66] train-mlogloss:0.034328+0.000534 test-mlogloss:0.918166+0.036328
## [67] train-mlogloss:0.033845+0.000558 test-mlogloss:0.921825+0.035906
## [68] train-mlogloss:0.033419+0.000545 test-mlogloss:0.923922+0.036547
## [69] train-mlogloss:0.032973+0.000529 test-mlogloss:0.925413+0.036758
## [70] train-mlogloss:0.032565+0.000509 test-mlogloss:0.928544+0.037684
## [71] train-mlogloss:0.032149+0.000527 test-mlogloss:0.930862+0.037166
## [72] train-mlogloss:0.031777+0.000486 test-mlogloss:0.932337+0.038394
## [73] train-mlogloss:0.031417+0.000446 test-mlogloss:0.935120+0.038233
## [74] train-mlogloss:0.031064+0.000446 test-mlogloss:0.934382+0.039512
## [75] train-mlogloss:0.030718+0.000448 test-mlogloss:0.934368+0.040407
## [76] train-mlogloss:0.030347+0.000462 test-mlogloss:0.935207+0.040514
## [77] train-mlogloss:0.029996+0.000465 test-mlogloss:0.936221+0.040928
## [78] train-mlogloss:0.029681+0.000464 test-mlogloss:0.936908+0.040789
## [79] train-mlogloss:0.029348+0.000453 test-mlogloss:0.938004+0.041332
## [80] train-mlogloss:0.029016+0.000478 test-mlogloss:0.938550+0.039726
## [81] train-mlogloss:0.028709+0.000475 test-mlogloss:0.939477+0.039241
## [82] train-mlogloss:0.028401+0.000462 test-mlogloss:0.939759+0.039401
## [83] train-mlogloss:0.028126+0.000454 test-mlogloss:0.940912+0.039282
## [84] train-mlogloss:0.027804+0.000424 test-mlogloss:0.943341+0.040122
## [85] train-mlogloss:0.027494+0.000388 test-mlogloss:0.944690+0.041593
## [86] train-mlogloss:0.027218+0.000390 test-mlogloss:0.947934+0.042876
## [87] train-mlogloss:0.026975+0.000395 test-mlogloss:0.949524+0.042764
## [88] train-mlogloss:0.026718+0.000365 test-mlogloss:0.952753+0.043682
## [89] train-mlogloss:0.026501+0.000362 test-mlogloss:0.955099+0.043365
## [90] train-mlogloss:0.026266+0.000360 test-mlogloss:0.956643+0.042972
## [91] train-mlogloss:0.026005+0.000359 test-mlogloss:0.955463+0.043732
## [92] train-mlogloss:0.025757+0.000369 test-mlogloss:0.956591+0.043793
## [93] train-mlogloss:0.025535+0.000386 test-mlogloss:0.957217+0.042936
## [94] train-mlogloss:0.025316+0.000379 test-mlogloss:0.959560+0.043109
## [95] train-mlogloss:0.025109+0.000392 test-mlogloss:0.961220+0.043316
## [96] train-mlogloss:0.024895+0.000417 test-mlogloss:0.961896+0.044988
## [97] train-mlogloss:0.024679+0.000408 test-mlogloss:0.961976+0.043621
## [98] train-mlogloss:0.024505+0.000418 test-mlogloss:0.963070+0.044961
## [99] train-mlogloss:0.024339+0.000398 test-mlogloss:0.964468+0.045099
## [100] train-mlogloss:0.024131+0.000390 test-mlogloss:0.964431+0.043865
## [101] train-mlogloss:0.023929+0.000381 test-mlogloss:0.964795+0.044328
## [102] train-mlogloss:0.023739+0.000362 test-mlogloss:0.966427+0.044190
## [103] train-mlogloss:0.023570+0.000369 test-mlogloss:0.966849+0.043693
## [104] train-mlogloss:0.023377+0.000375 test-mlogloss:0.968528+0.043724
## [105] train-mlogloss:0.023204+0.000385 test-mlogloss:0.969656+0.043195
## [106] train-mlogloss:0.023046+0.000382 test-mlogloss:0.970145+0.042599
## [107] train-mlogloss:0.022863+0.000374 test-mlogloss:0.970751+0.043140
## [108] train-mlogloss:0.022689+0.000384 test-mlogloss:0.971738+0.043941
## [109] train-mlogloss:0.022552+0.000384 test-mlogloss:0.972959+0.043195
## [110] train-mlogloss:0.022372+0.000363 test-mlogloss:0.973834+0.044538
## [111] train-mlogloss:0.022213+0.000358 test-mlogloss:0.975313+0.044177
## [112] train-mlogloss:0.022052+0.000349 test-mlogloss:0.975558+0.044993
## [113] train-mlogloss:0.021905+0.000359 test-mlogloss:0.977290+0.044287
## [114] train-mlogloss:0.021749+0.000367 test-mlogloss:0.977506+0.042865
## [115] train-mlogloss:0.021588+0.000347 test-mlogloss:0.978449+0.041899
## [116] train-mlogloss:0.021439+0.000340 test-mlogloss:0.979981+0.042554
## [117] train-mlogloss:0.021302+0.000336 test-mlogloss:0.981634+0.043254
## [118] train-mlogloss:0.021145+0.000341 test-mlogloss:0.981696+0.043456
## [119] train-mlogloss:0.021008+0.000334 test-mlogloss:0.982813+0.044493
## [120] train-mlogloss:0.020878+0.000322 test-mlogloss:0.983959+0.045905
## [121] train-mlogloss:0.020761+0.000301 test-mlogloss:0.985264+0.045326
## [122] train-mlogloss:0.020614+0.000289 test-mlogloss:0.986375+0.046002
## [123] train-mlogloss:0.020482+0.000283 test-mlogloss:0.986870+0.045439
## [124] train-mlogloss:0.020370+0.000296 test-mlogloss:0.987606+0.046419
## [125] train-mlogloss:0.020221+0.000290 test-mlogloss:0.988044+0.047063
## [126] train-mlogloss:0.020106+0.000282 test-mlogloss:0.988514+0.046734
## [127] train-mlogloss:0.019991+0.000271 test-mlogloss:0.988483+0.046024
## [128] train-mlogloss:0.019878+0.000273 test-mlogloss:0.990387+0.045487
## [129] train-mlogloss:0.019766+0.000267 test-mlogloss:0.991511+0.045770
## [130] train-mlogloss:0.019653+0.000264 test-mlogloss:0.992315+0.046025
## [131] train-mlogloss:0.019544+0.000247 test-mlogloss:0.994747+0.044645
## [132] train-mlogloss:0.019447+0.000232 test-mlogloss:0.996444+0.046488
## [133] train-mlogloss:0.019361+0.000229 test-mlogloss:0.995937+0.046423
## [134] train-mlogloss:0.019233+0.000233 test-mlogloss:0.996301+0.046946
## [135] train-mlogloss:0.019125+0.000249 test-mlogloss:0.996753+0.047098
## [136] train-mlogloss:0.019012+0.000251 test-mlogloss:0.998288+0.047363
## [137] train-mlogloss:0.018920+0.000252 test-mlogloss:0.999568+0.046877
## [138] train-mlogloss:0.018812+0.000240 test-mlogloss:0.999117+0.045869
## [139] train-mlogloss:0.018710+0.000236 test-mlogloss:0.999308+0.045572
## [140] train-mlogloss:0.018624+0.000233 test-mlogloss:1.000237+0.045909
## [141] train-mlogloss:0.018543+0.000247 test-mlogloss:1.000234+0.046471
## [142] train-mlogloss:0.018453+0.000231 test-mlogloss:1.001956+0.047216
## [143] train-mlogloss:0.018360+0.000227 test-mlogloss:1.002894+0.046977
## [144] train-mlogloss:0.018269+0.000219 test-mlogloss:1.003196+0.047056
## [145] train-mlogloss:0.018186+0.000216 test-mlogloss:1.003893+0.046753
## [146] train-mlogloss:0.018101+0.000219 test-mlogloss:1.005789+0.046139
## [147] train-mlogloss:0.018003+0.000220 test-mlogloss:1.006474+0.045876
## [148] train-mlogloss:0.017893+0.000212 test-mlogloss:1.007234+0.045010
## [149] train-mlogloss:0.017802+0.000228 test-mlogloss:1.008307+0.045256
## [150] train-mlogloss:0.017716+0.000223 test-mlogloss:1.009874+0.045491
## [151] train-mlogloss:0.017630+0.000217 test-mlogloss:1.010450+0.045881
## [152] train-mlogloss:0.017532+0.000224 test-mlogloss:1.011431+0.045467
## [153] train-mlogloss:0.017442+0.000215 test-mlogloss:1.010995+0.044614
## [154] train-mlogloss:0.017347+0.000209 test-mlogloss:1.011606+0.044941
## [155] train-mlogloss:0.017268+0.000204 test-mlogloss:1.012339+0.044330
## [156] train-mlogloss:0.017178+0.000205 test-mlogloss:1.013161+0.043591
## [157] train-mlogloss:0.017104+0.000205 test-mlogloss:1.012948+0.042739
## [158] train-mlogloss:0.017035+0.000211 test-mlogloss:1.013415+0.043480
## [159] train-mlogloss:0.016956+0.000200 test-mlogloss:1.014227+0.043869
## [160] train-mlogloss:0.016874+0.000197 test-mlogloss:1.014270+0.043862
## [161] train-mlogloss:0.016804+0.000189 test-mlogloss:1.015398+0.043697
## [162] train-mlogloss:0.016731+0.000180 test-mlogloss:1.016284+0.043642
## [163] train-mlogloss:0.016650+0.000176 test-mlogloss:1.017610+0.044468
## [164] train-mlogloss:0.016581+0.000182 test-mlogloss:1.017925+0.045154
## [165] train-mlogloss:0.016504+0.000175 test-mlogloss:1.017445+0.044401
## [166] train-mlogloss:0.016425+0.000185 test-mlogloss:1.018562+0.043064
## [167] train-mlogloss:0.016355+0.000191 test-mlogloss:1.018689+0.042852
## [168] train-mlogloss:0.016283+0.000186 test-mlogloss:1.019727+0.043432
## [169] train-mlogloss:0.016220+0.000186 test-mlogloss:1.020409+0.042825
## [170] train-mlogloss:0.016156+0.000182 test-mlogloss:1.021708+0.043139
## [171] train-mlogloss:0.016091+0.000190 test-mlogloss:1.023598+0.043522
## [172] train-mlogloss:0.016018+0.000195 test-mlogloss:1.024239+0.044097
## [173] train-mlogloss:0.015959+0.000199 test-mlogloss:1.024610+0.042680
## [174] train-mlogloss:0.015899+0.000205 test-mlogloss:1.025527+0.042406
## [175] train-mlogloss:0.015837+0.000206 test-mlogloss:1.025520+0.042643
## [176] train-mlogloss:0.015775+0.000202 test-mlogloss:1.026001+0.043264
## [177] train-mlogloss:0.015719+0.000194 test-mlogloss:1.027055+0.042593
## [178] train-mlogloss:0.015657+0.000185 test-mlogloss:1.027025+0.043406
## [179] train-mlogloss:0.015593+0.000177 test-mlogloss:1.028005+0.043365
## [180] train-mlogloss:0.015539+0.000180 test-mlogloss:1.028921+0.042491
## [181] train-mlogloss:0.015490+0.000176 test-mlogloss:1.029107+0.044101
## [182] train-mlogloss:0.015433+0.000172 test-mlogloss:1.029372+0.043295
## [183] train-mlogloss:0.015380+0.000161 test-mlogloss:1.030114+0.043607
## [184] train-mlogloss:0.015317+0.000154 test-mlogloss:1.031494+0.043895
## [185] train-mlogloss:0.015262+0.000154 test-mlogloss:1.031300+0.043104
## [186] train-mlogloss:0.015204+0.000155 test-mlogloss:1.031366+0.043182
## [187] train-mlogloss:0.015152+0.000140 test-mlogloss:1.032725+0.043870
## [188] train-mlogloss:0.015093+0.000139 test-mlogloss:1.033391+0.043417
## [189] train-mlogloss:0.015031+0.000142 test-mlogloss:1.034682+0.043322
## [190] train-mlogloss:0.014973+0.000149 test-mlogloss:1.034849+0.043416
## [191] train-mlogloss:0.014928+0.000137 test-mlogloss:1.035255+0.043651
## [192] train-mlogloss:0.014869+0.000137 test-mlogloss:1.036735+0.043988
## [193] train-mlogloss:0.014814+0.000133 test-mlogloss:1.037168+0.044969
## [194] train-mlogloss:0.014760+0.000141 test-mlogloss:1.038237+0.044554
## [195] train-mlogloss:0.014717+0.000144 test-mlogloss:1.037508+0.043800
## [196] train-mlogloss:0.014665+0.000141 test-mlogloss:1.037676+0.042683
## [197] train-mlogloss:0.014614+0.000144 test-mlogloss:1.038482+0.043117
## [198] train-mlogloss:0.014558+0.000135 test-mlogloss:1.038802+0.042995
## [199] train-mlogloss:0.014511+0.000136 test-mlogloss:1.039213+0.043198
## [200] train-mlogloss:0.014477+0.000136 test-mlogloss:1.039888+0.043212
## [201] train-mlogloss:0.014421+0.000139 test-mlogloss:1.041855+0.043249
## [202] train-mlogloss:0.014359+0.000140 test-mlogloss:1.042707+0.043200
## [203] train-mlogloss:0.014316+0.000143 test-mlogloss:1.042151+0.043805
## [204] train-mlogloss:0.014262+0.000144 test-mlogloss:1.041028+0.043067
## [205] train-mlogloss:0.014216+0.000133 test-mlogloss:1.042509+0.042953
## [206] train-mlogloss:0.014174+0.000132 test-mlogloss:1.042067+0.043661
## [207] train-mlogloss:0.014124+0.000137 test-mlogloss:1.042388+0.044142
## [208] train-mlogloss:0.014078+0.000134 test-mlogloss:1.042793+0.043075
## [209] train-mlogloss:0.014037+0.000130 test-mlogloss:1.043097+0.043759
## [210] train-mlogloss:0.013993+0.000124 test-mlogloss:1.044448+0.042029
## [211] train-mlogloss:0.013949+0.000121 test-mlogloss:1.044457+0.042733
## [212] train-mlogloss:0.013900+0.000119 test-mlogloss:1.044935+0.043198
## [213] train-mlogloss:0.013855+0.000119 test-mlogloss:1.044431+0.044400
## [214] train-mlogloss:0.013811+0.000119 test-mlogloss:1.044741+0.043958
## [215] train-mlogloss:0.013765+0.000119 test-mlogloss:1.045481+0.043932
## [216] train-mlogloss:0.013723+0.000120 test-mlogloss:1.046741+0.044402
## [217] train-mlogloss:0.013682+0.000118 test-mlogloss:1.047554+0.043217
## [218] train-mlogloss:0.013639+0.000119 test-mlogloss:1.047520+0.043982
## [219] train-mlogloss:0.013597+0.000114 test-mlogloss:1.048712+0.044544
## [220] train-mlogloss:0.013557+0.000118 test-mlogloss:1.050996+0.045634
## [221] train-mlogloss:0.013515+0.000116 test-mlogloss:1.051140+0.045255
## [222] train-mlogloss:0.013468+0.000123 test-mlogloss:1.050951+0.046319
## [223] train-mlogloss:0.013424+0.000124 test-mlogloss:1.050484+0.046605
## [224] train-mlogloss:0.013383+0.000128 test-mlogloss:1.050758+0.046730
## [225] train-mlogloss:0.013345+0.000129 test-mlogloss:1.050978+0.046571
## [226] train-mlogloss:0.013303+0.000126 test-mlogloss:1.052828+0.046750
## [227] train-mlogloss:0.013261+0.000123 test-mlogloss:1.053267+0.045603
## [228] train-mlogloss:0.013222+0.000118 test-mlogloss:1.053162+0.045966
## [229] train-mlogloss:0.013179+0.000125 test-mlogloss:1.053798+0.046655
## [230] train-mlogloss:0.013144+0.000124 test-mlogloss:1.052933+0.046207
## [231] train-mlogloss:0.013105+0.000123 test-mlogloss:1.053666+0.046902
## [232] train-mlogloss:0.013071+0.000131 test-mlogloss:1.054444+0.046941
## [233] train-mlogloss:0.013026+0.000128 test-mlogloss:1.054476+0.047306
## [234] train-mlogloss:0.012990+0.000128 test-mlogloss:1.055264+0.048038
## [235] train-mlogloss:0.012955+0.000127 test-mlogloss:1.055579+0.047563
## [236] train-mlogloss:0.012920+0.000125 test-mlogloss:1.056943+0.048196
## [237] train-mlogloss:0.012878+0.000132 test-mlogloss:1.057295+0.048143
## [238] train-mlogloss:0.012843+0.000134 test-mlogloss:1.057849+0.046720
## [239] train-mlogloss:0.012812+0.000127 test-mlogloss:1.058816+0.048262
## [240] train-mlogloss:0.012769+0.000131 test-mlogloss:1.058511+0.047505
## [241] train-mlogloss:0.012733+0.000130 test-mlogloss:1.059083+0.046602
## [242] train-mlogloss:0.012700+0.000131 test-mlogloss:1.059266+0.046852
## [243] train-mlogloss:0.012668+0.000132 test-mlogloss:1.059605+0.047827
## [244] train-mlogloss:0.012633+0.000130 test-mlogloss:1.060551+0.047533
## [245] train-mlogloss:0.012604+0.000129 test-mlogloss:1.061219+0.047416
## [246] train-mlogloss:0.012565+0.000123 test-mlogloss:1.061300+0.047656
## [247] train-mlogloss:0.012532+0.000119 test-mlogloss:1.061107+0.047676
## [248] train-mlogloss:0.012491+0.000121 test-mlogloss:1.061963+0.048067
## [249] train-mlogloss:0.012461+0.000126 test-mlogloss:1.062854+0.048522
## [250] train-mlogloss:0.012428+0.000122 test-mlogloss:1.063333+0.048164
## [251] train-mlogloss:0.012400+0.000128 test-mlogloss:1.064599+0.047780
## [252] train-mlogloss:0.012370+0.000120 test-mlogloss:1.066104+0.047660
## [253] train-mlogloss:0.012343+0.000121 test-mlogloss:1.066939+0.048554
## [254] train-mlogloss:0.012313+0.000119 test-mlogloss:1.067410+0.047497
## [255] train-mlogloss:0.012289+0.000120 test-mlogloss:1.067740+0.047362
## [256] train-mlogloss:0.012255+0.000122 test-mlogloss:1.067427+0.046751
## [257] train-mlogloss:0.012225+0.000126 test-mlogloss:1.067905+0.047133
## [258] train-mlogloss:0.012201+0.000122 test-mlogloss:1.068132+0.046248
## [259] train-mlogloss:0.012176+0.000125 test-mlogloss:1.067738+0.046453
## [260] train-mlogloss:0.012142+0.000122 test-mlogloss:1.067417+0.046809
## [261] train-mlogloss:0.012112+0.000122 test-mlogloss:1.068122+0.045867
## [262] train-mlogloss:0.012080+0.000120 test-mlogloss:1.068381+0.044821
## [263] train-mlogloss:0.012046+0.000121 test-mlogloss:1.069027+0.045817
## [264] train-mlogloss:0.012019+0.000120 test-mlogloss:1.069330+0.046073
## [265] train-mlogloss:0.011997+0.000120 test-mlogloss:1.069147+0.045816
## [266] train-mlogloss:0.011963+0.000117 test-mlogloss:1.069145+0.046159
## [267] train-mlogloss:0.011934+0.000123 test-mlogloss:1.071187+0.046632
## [268] train-mlogloss:0.011911+0.000127 test-mlogloss:1.071447+0.046891
## [269] train-mlogloss:0.011881+0.000119 test-mlogloss:1.071698+0.047297
## [270] train-mlogloss:0.011853+0.000118 test-mlogloss:1.072634+0.047708
## [271] train-mlogloss:0.011828+0.000119 test-mlogloss:1.072954+0.047090
## [272] train-mlogloss:0.011798+0.000112 test-mlogloss:1.074147+0.047717
## [273] train-mlogloss:0.011773+0.000120 test-mlogloss:1.075080+0.047221
## [274] train-mlogloss:0.011747+0.000119 test-mlogloss:1.075364+0.047570
## [275] train-mlogloss:0.011720+0.000124 test-mlogloss:1.075232+0.048278
## [276] train-mlogloss:0.011693+0.000125 test-mlogloss:1.076513+0.049216
## [277] train-mlogloss:0.011670+0.000124 test-mlogloss:1.076296+0.049583
## [278] train-mlogloss:0.011642+0.000124 test-mlogloss:1.076436+0.048787
## [279] train-mlogloss:0.011617+0.000133 test-mlogloss:1.076943+0.047939
## [280] train-mlogloss:0.011594+0.000129 test-mlogloss:1.078016+0.048117
## [281] train-mlogloss:0.011566+0.000128 test-mlogloss:1.078931+0.049240
## [282] train-mlogloss:0.011540+0.000134 test-mlogloss:1.079029+0.049940
## [283] train-mlogloss:0.011516+0.000134 test-mlogloss:1.079770+0.048811
## [284] train-mlogloss:0.011481+0.000131 test-mlogloss:1.079469+0.048698
## [285] train-mlogloss:0.011459+0.000133 test-mlogloss:1.080402+0.048990
## [286] train-mlogloss:0.011430+0.000134 test-mlogloss:1.080459+0.049721
## [287] train-mlogloss:0.011409+0.000136 test-mlogloss:1.081163+0.049330
## [288] train-mlogloss:0.011382+0.000134 test-mlogloss:1.081083+0.048851
## [289] train-mlogloss:0.011354+0.000129 test-mlogloss:1.081550+0.047496
## [290] train-mlogloss:0.011330+0.000129 test-mlogloss:1.082013+0.048631
## [291] train-mlogloss:0.011302+0.000132 test-mlogloss:1.081924+0.048782
## [292] train-mlogloss:0.011282+0.000130 test-mlogloss:1.083120+0.048936
## [293] train-mlogloss:0.011256+0.000130 test-mlogloss:1.083134+0.048177
## [294] train-mlogloss:0.011235+0.000130 test-mlogloss:1.083582+0.048564
## [295] train-mlogloss:0.011213+0.000133 test-mlogloss:1.084073+0.048129
## [296] train-mlogloss:0.011189+0.000124 test-mlogloss:1.084434+0.048949
## [297] train-mlogloss:0.011163+0.000122 test-mlogloss:1.085454+0.048856
## [298] train-mlogloss:0.011144+0.000122 test-mlogloss:1.084721+0.048704
## [299] train-mlogloss:0.011127+0.000122 test-mlogloss:1.084582+0.048293
## [300] train-mlogloss:0.011103+0.000120 test-mlogloss:1.085374+0.049415
## [301] train-mlogloss:0.011079+0.000121 test-mlogloss:1.085743+0.048701
## [302] train-mlogloss:0.011058+0.000120 test-mlogloss:1.086769+0.048767
## [303] train-mlogloss:0.011034+0.000125 test-mlogloss:1.086449+0.048497
## [304] train-mlogloss:0.011013+0.000120 test-mlogloss:1.086490+0.049149
## [305] train-mlogloss:0.010987+0.000124 test-mlogloss:1.085824+0.047840
## [306] train-mlogloss:0.010967+0.000121 test-mlogloss:1.085836+0.047768
## [307] train-mlogloss:0.010943+0.000119 test-mlogloss:1.086233+0.047309
## [308] train-mlogloss:0.010916+0.000118 test-mlogloss:1.086399+0.046757
## [309] train-mlogloss:0.010886+0.000120 test-mlogloss:1.086341+0.046320
## [310] train-mlogloss:0.010867+0.000116 test-mlogloss:1.087586+0.047370
## [311] train-mlogloss:0.010839+0.000115 test-mlogloss:1.088526+0.047477
## [312] train-mlogloss:0.010818+0.000111 test-mlogloss:1.088689+0.047469
## [313] train-mlogloss:0.010800+0.000105 test-mlogloss:1.089246+0.047636
## [314] train-mlogloss:0.010783+0.000107 test-mlogloss:1.089388+0.046463
## [315] train-mlogloss:0.010763+0.000103 test-mlogloss:1.090301+0.046010
## [316] train-mlogloss:0.010744+0.000102 test-mlogloss:1.089558+0.045648
## [317] train-mlogloss:0.010720+0.000106 test-mlogloss:1.088816+0.046133
## [318] train-mlogloss:0.010698+0.000103 test-mlogloss:1.089251+0.046185
## [319] train-mlogloss:0.010673+0.000102 test-mlogloss:1.089050+0.045575
## [320] train-mlogloss:0.010652+0.000097 test-mlogloss:1.089103+0.046293
## [321] train-mlogloss:0.010628+0.000099 test-mlogloss:1.089828+0.046797
## [322] train-mlogloss:0.010600+0.000099 test-mlogloss:1.091661+0.047657
## [323] train-mlogloss:0.010579+0.000105 test-mlogloss:1.092581+0.046759
## [324] train-mlogloss:0.010558+0.000098 test-mlogloss:1.092610+0.047274
## [325] train-mlogloss:0.010538+0.000097 test-mlogloss:1.092984+0.047148
## [326] train-mlogloss:0.010523+0.000096 test-mlogloss:1.093482+0.047308
## [327] train-mlogloss:0.010506+0.000095 test-mlogloss:1.093125+0.047432
## [328] train-mlogloss:0.010486+0.000093 test-mlogloss:1.093433+0.046973
## [329] train-mlogloss:0.010464+0.000092 test-mlogloss:1.093363+0.047712
## [330] train-mlogloss:0.010443+0.000096 test-mlogloss:1.093600+0.048034
## [331] train-mlogloss:0.010425+0.000091 test-mlogloss:1.093986+0.047705
## [332] train-mlogloss:0.010407+0.000093 test-mlogloss:1.093488+0.047923
## [333] train-mlogloss:0.010388+0.000092 test-mlogloss:1.094993+0.048269
## [334] train-mlogloss:0.010368+0.000093 test-mlogloss:1.095026+0.048301
## [335] train-mlogloss:0.010351+0.000094 test-mlogloss:1.095627+0.048101
## [336] train-mlogloss:0.010333+0.000091 test-mlogloss:1.096958+0.048327
## [337] train-mlogloss:0.010319+0.000092 test-mlogloss:1.097282+0.048941
## [338] train-mlogloss:0.010298+0.000096 test-mlogloss:1.098488+0.048517
## [339] train-mlogloss:0.010281+0.000095 test-mlogloss:1.098244+0.048167
## [340] train-mlogloss:0.010263+0.000091 test-mlogloss:1.099350+0.047895
## [341] train-mlogloss:0.010236+0.000092 test-mlogloss:1.099207+0.049257
## [342] train-mlogloss:0.010219+0.000093 test-mlogloss:1.098169+0.049057
## [343] train-mlogloss:0.010201+0.000088 test-mlogloss:1.098333+0.048773
## [344] train-mlogloss:0.010185+0.000090 test-mlogloss:1.099023+0.048993
## [345] train-mlogloss:0.010165+0.000095 test-mlogloss:1.098681+0.048440
## [346] train-mlogloss:0.010148+0.000097 test-mlogloss:1.098927+0.049634
## [347] train-mlogloss:0.010131+0.000097 test-mlogloss:1.099526+0.049758
## [348] train-mlogloss:0.010113+0.000094 test-mlogloss:1.099779+0.049489
## [349] train-mlogloss:0.010092+0.000092 test-mlogloss:1.100318+0.050136
## [350] train-mlogloss:0.010077+0.000092 test-mlogloss:1.100131+0.050168
## [351] train-mlogloss:0.010062+0.000090 test-mlogloss:1.100842+0.050802
## [352] train-mlogloss:0.010043+0.000089 test-mlogloss:1.101230+0.050195
## [353] train-mlogloss:0.010029+0.000093 test-mlogloss:1.101802+0.050878
## [354] train-mlogloss:0.010018+0.000095 test-mlogloss:1.101290+0.050284
## [355] train-mlogloss:0.010001+0.000091 test-mlogloss:1.100877+0.050197
## [356] train-mlogloss:0.009985+0.000091 test-mlogloss:1.101259+0.050007
## [357] train-mlogloss:0.009971+0.000095 test-mlogloss:1.101451+0.049050
## [358] train-mlogloss:0.009953+0.000093 test-mlogloss:1.101262+0.049513
## [359] train-mlogloss:0.009939+0.000093 test-mlogloss:1.101862+0.049931
## [360] train-mlogloss:0.009922+0.000093 test-mlogloss:1.101917+0.048506
## [361] train-mlogloss:0.009912+0.000093 test-mlogloss:1.102199+0.049109
## [362] train-mlogloss:0.009888+0.000089 test-mlogloss:1.102789+0.049771
## [363] train-mlogloss:0.009876+0.000091 test-mlogloss:1.102591+0.049929
## [364] train-mlogloss:0.009860+0.000091 test-mlogloss:1.102451+0.049488
## [365] train-mlogloss:0.009843+0.000090 test-mlogloss:1.103583+0.049328
## [366] train-mlogloss:0.009827+0.000088 test-mlogloss:1.104275+0.049606
## [367] train-mlogloss:0.009813+0.000086 test-mlogloss:1.104011+0.049610
## [368] train-mlogloss:0.009802+0.000080 test-mlogloss:1.106074+0.050535
## [369] train-mlogloss:0.009782+0.000083 test-mlogloss:1.106256+0.049532
## [370] train-mlogloss:0.009760+0.000082 test-mlogloss:1.105756+0.049518
## [371] train-mlogloss:0.009748+0.000086 test-mlogloss:1.106207+0.049654
## [372] train-mlogloss:0.009731+0.000089 test-mlogloss:1.107223+0.050500
## [373] train-mlogloss:0.009718+0.000087 test-mlogloss:1.106197+0.051008
## [374] train-mlogloss:0.009702+0.000089 test-mlogloss:1.106479+0.051868
## [375] train-mlogloss:0.009687+0.000088 test-mlogloss:1.106920+0.052009
## [376] train-mlogloss:0.009670+0.000086 test-mlogloss:1.108065+0.052252
## [377] train-mlogloss:0.009651+0.000092 test-mlogloss:1.108302+0.050604
## [378] train-mlogloss:0.009638+0.000094 test-mlogloss:1.108735+0.049835
## [379] train-mlogloss:0.009627+0.000091 test-mlogloss:1.109142+0.050374
## [380] train-mlogloss:0.009612+0.000090 test-mlogloss:1.108113+0.051061
## [381] train-mlogloss:0.009597+0.000090 test-mlogloss:1.108408+0.050621
## [382] train-mlogloss:0.009576+0.000090 test-mlogloss:1.107813+0.049626
## [383] train-mlogloss:0.009562+0.000088 test-mlogloss:1.108722+0.049981
## [384] train-mlogloss:0.009543+0.000087 test-mlogloss:1.109185+0.050036
## [385] train-mlogloss:0.009528+0.000086 test-mlogloss:1.108359+0.049359
## [386] train-mlogloss:0.009514+0.000088 test-mlogloss:1.109262+0.049519
## [387] train-mlogloss:0.009503+0.000088 test-mlogloss:1.109318+0.049261
## [388] train-mlogloss:0.009490+0.000089 test-mlogloss:1.109329+0.048316
## [389] train-mlogloss:0.009475+0.000088 test-mlogloss:1.108997+0.049446
## [390] train-mlogloss:0.009460+0.000088 test-mlogloss:1.109627+0.048997
## [391] train-mlogloss:0.009450+0.000091 test-mlogloss:1.109899+0.049068
## [392] train-mlogloss:0.009431+0.000090 test-mlogloss:1.110378+0.049637
## [393] train-mlogloss:0.009418+0.000089 test-mlogloss:1.110264+0.049297
## [394] train-mlogloss:0.009403+0.000086 test-mlogloss:1.110687+0.049200
## [395] train-mlogloss:0.009388+0.000086 test-mlogloss:1.109853+0.049038
## [396] train-mlogloss:0.009372+0.000088 test-mlogloss:1.110757+0.049028
## [397] train-mlogloss:0.009357+0.000086 test-mlogloss:1.111451+0.048901
## [398] train-mlogloss:0.009345+0.000084 test-mlogloss:1.112154+0.048799
## [399] train-mlogloss:0.009334+0.000082 test-mlogloss:1.112950+0.049692
## [400] train-mlogloss:0.009321+0.000085 test-mlogloss:1.113413+0.049573
## [401] train-mlogloss:0.009310+0.000086 test-mlogloss:1.113559+0.049245
## [402] train-mlogloss:0.009292+0.000087 test-mlogloss:1.113465+0.050080
## [403] train-mlogloss:0.009282+0.000092 test-mlogloss:1.113544+0.049980
## [404] train-mlogloss:0.009265+0.000094 test-mlogloss:1.112622+0.049185
## [405] train-mlogloss:0.009256+0.000092 test-mlogloss:1.114543+0.049190
## [406] train-mlogloss:0.009239+0.000090 test-mlogloss:1.113893+0.049032
## [407] train-mlogloss:0.009225+0.000088 test-mlogloss:1.113891+0.049173
## [408] train-mlogloss:0.009210+0.000085 test-mlogloss:1.113873+0.049140
## [409] train-mlogloss:0.009195+0.000087 test-mlogloss:1.114131+0.049518
## [410] train-mlogloss:0.009179+0.000083 test-mlogloss:1.113369+0.049135
## [411] train-mlogloss:0.009166+0.000083 test-mlogloss:1.113846+0.049493
## [412] train-mlogloss:0.009152+0.000084 test-mlogloss:1.113557+0.049510
## [413] train-mlogloss:0.009141+0.000083 test-mlogloss:1.114812+0.048930
## [414] train-mlogloss:0.009121+0.000081 test-mlogloss:1.114732+0.049007
## [415] train-mlogloss:0.009106+0.000079 test-mlogloss:1.114908+0.047983
## [416] train-mlogloss:0.009092+0.000081 test-mlogloss:1.115027+0.047445
## [417] train-mlogloss:0.009071+0.000077 test-mlogloss:1.115240+0.048108
## [418] train-mlogloss:0.009058+0.000077 test-mlogloss:1.114840+0.048883
## [419] train-mlogloss:0.009046+0.000075 test-mlogloss:1.114305+0.048404
## [420] train-mlogloss:0.009035+0.000076 test-mlogloss:1.115121+0.048524
## [421] train-mlogloss:0.009021+0.000078 test-mlogloss:1.114887+0.048768
## [422] train-mlogloss:0.009010+0.000072 test-mlogloss:1.115861+0.049090
## [423] train-mlogloss:0.008991+0.000076 test-mlogloss:1.115687+0.048688
## [424] train-mlogloss:0.008979+0.000072 test-mlogloss:1.116927+0.049002
## [425] train-mlogloss:0.008969+0.000071 test-mlogloss:1.116748+0.048936
## [426] train-mlogloss:0.008958+0.000073 test-mlogloss:1.118123+0.049372
## [427] train-mlogloss:0.008951+0.000072 test-mlogloss:1.118987+0.048597
## [428] train-mlogloss:0.008938+0.000074 test-mlogloss:1.119320+0.048204
## [429] train-mlogloss:0.008926+0.000071 test-mlogloss:1.119129+0.048569
## [430] train-mlogloss:0.008914+0.000071 test-mlogloss:1.119822+0.047492
## [431] train-mlogloss:0.008902+0.000070 test-mlogloss:1.119373+0.048488
## [432] train-mlogloss:0.008890+0.000070 test-mlogloss:1.119671+0.048833
## [433] train-mlogloss:0.008876+0.000069 test-mlogloss:1.120252+0.047683
## [434] train-mlogloss:0.008862+0.000070 test-mlogloss:1.120280+0.048111
## [435] train-mlogloss:0.008847+0.000066 test-mlogloss:1.120502+0.047241
## [436] train-mlogloss:0.008836+0.000065 test-mlogloss:1.120737+0.047501
## [437] train-mlogloss:0.008825+0.000071 test-mlogloss:1.120771+0.046790
## [438] train-mlogloss:0.008817+0.000071 test-mlogloss:1.120244+0.047685
## [439] train-mlogloss:0.008801+0.000071 test-mlogloss:1.120523+0.047421
## [440] train-mlogloss:0.008790+0.000070 test-mlogloss:1.121489+0.047279
## [441] train-mlogloss:0.008779+0.000072 test-mlogloss:1.122151+0.047155
## [442] train-mlogloss:0.008762+0.000076 test-mlogloss:1.121426+0.048054
## [443] train-mlogloss:0.008752+0.000076 test-mlogloss:1.121717+0.048086
## [444] train-mlogloss:0.008742+0.000076 test-mlogloss:1.122120+0.046979
## [445] train-mlogloss:0.008732+0.000077 test-mlogloss:1.122240+0.048132
## [446] train-mlogloss:0.008721+0.000078 test-mlogloss:1.122681+0.047821
## [447] train-mlogloss:0.008712+0.000078 test-mlogloss:1.122508+0.048313
## [448] train-mlogloss:0.008694+0.000077 test-mlogloss:1.122416+0.048929
## [449] train-mlogloss:0.008681+0.000079 test-mlogloss:1.123171+0.048359
## [450] train-mlogloss:0.008674+0.000078 test-mlogloss:1.123403+0.048585
## [451] train-mlogloss:0.008665+0.000077 test-mlogloss:1.123555+0.048628
## [452] train-mlogloss:0.008653+0.000077 test-mlogloss:1.123924+0.049001
## [453] train-mlogloss:0.008639+0.000074 test-mlogloss:1.124075+0.049639
## [454] train-mlogloss:0.008629+0.000074 test-mlogloss:1.123803+0.049490
## [455] train-mlogloss:0.008621+0.000078 test-mlogloss:1.124251+0.049454
## [456] train-mlogloss:0.008608+0.000075 test-mlogloss:1.124355+0.050111
## [457] train-mlogloss:0.008601+0.000075 test-mlogloss:1.124374+0.050119
## [458] train-mlogloss:0.008590+0.000075 test-mlogloss:1.124478+0.049319
## [459] train-mlogloss:0.008581+0.000074 test-mlogloss:1.125119+0.048715
## [460] train-mlogloss:0.008571+0.000072 test-mlogloss:1.125614+0.049186
## [461] train-mlogloss:0.008561+0.000072 test-mlogloss:1.126068+0.049003
## [462] train-mlogloss:0.008548+0.000073 test-mlogloss:1.126005+0.048994
## [463] train-mlogloss:0.008534+0.000070 test-mlogloss:1.126696+0.049710
## [464] train-mlogloss:0.008524+0.000069 test-mlogloss:1.126234+0.049225
## [465] train-mlogloss:0.008511+0.000068 test-mlogloss:1.126191+0.048893
## [466] train-mlogloss:0.008499+0.000070 test-mlogloss:1.126199+0.049320
## [467] train-mlogloss:0.008492+0.000072 test-mlogloss:1.126816+0.049333
## [468] train-mlogloss:0.008479+0.000072 test-mlogloss:1.126361+0.048820
## [469] train-mlogloss:0.008471+0.000072 test-mlogloss:1.126272+0.048671
## [470] train-mlogloss:0.008460+0.000073 test-mlogloss:1.126042+0.049076
## [471] train-mlogloss:0.008451+0.000075 test-mlogloss:1.126583+0.049235
## [472] train-mlogloss:0.008443+0.000074 test-mlogloss:1.127101+0.049289
## [473] train-mlogloss:0.008431+0.000074 test-mlogloss:1.127264+0.049524
## [474] train-mlogloss:0.008420+0.000075 test-mlogloss:1.127268+0.048976
## [475] train-mlogloss:0.008412+0.000075 test-mlogloss:1.127621+0.048941
## [476] train-mlogloss:0.008400+0.000077 test-mlogloss:1.128502+0.048279
## [477] train-mlogloss:0.008390+0.000075 test-mlogloss:1.129094+0.048153
## [478] train-mlogloss:0.008380+0.000075 test-mlogloss:1.128641+0.048695
## [479] train-mlogloss:0.008369+0.000073 test-mlogloss:1.128698+0.048396
## [480] train-mlogloss:0.008354+0.000072 test-mlogloss:1.129550+0.048667
## [481] train-mlogloss:0.008347+0.000070 test-mlogloss:1.129127+0.047994
## [482] train-mlogloss:0.008339+0.000069 test-mlogloss:1.129498+0.047673
## [483] train-mlogloss:0.008329+0.000069 test-mlogloss:1.129279+0.047638
## [484] train-mlogloss:0.008320+0.000067 test-mlogloss:1.129593+0.047318
## [485] train-mlogloss:0.008308+0.000067 test-mlogloss:1.129417+0.047429
## [486] train-mlogloss:0.008300+0.000065 test-mlogloss:1.129518+0.048032
## [487] train-mlogloss:0.008292+0.000061 test-mlogloss:1.130349+0.048421
## [488] train-mlogloss:0.008286+0.000065 test-mlogloss:1.130182+0.047589
## [489] train-mlogloss:0.008276+0.000065 test-mlogloss:1.130128+0.047246
## [490] train-mlogloss:0.008265+0.000064 test-mlogloss:1.131186+0.046548
## [491] train-mlogloss:0.008257+0.000065 test-mlogloss:1.130621+0.046422
## [492] train-mlogloss:0.008247+0.000065 test-mlogloss:1.131481+0.046911
## [493] train-mlogloss:0.008238+0.000071 test-mlogloss:1.131910+0.046419
## [494] train-mlogloss:0.008230+0.000069 test-mlogloss:1.131782+0.046746
## [495] train-mlogloss:0.008221+0.000069 test-mlogloss:1.131878+0.046058
## [496] train-mlogloss:0.008207+0.000066 test-mlogloss:1.131262+0.046756
## [497] train-mlogloss:0.008202+0.000064 test-mlogloss:1.131721+0.046234
## [498] train-mlogloss:0.008187+0.000060 test-mlogloss:1.131589+0.046184
## [499] train-mlogloss:0.008178+0.000060 test-mlogloss:1.131461+0.046545
## [500] train-mlogloss:0.008173+0.000061 test-mlogloss:1.132318+0.046079
## [1] train-mlogloss:0.528171+0.003856 test-mlogloss:0.549650+0.009726
## [2] train-mlogloss:0.507141+0.002382 test-mlogloss:0.543235+0.012488
## [3] train-mlogloss:0.498200+0.004583 test-mlogloss:0.548638+0.014280
## [4] train-mlogloss:0.490830+0.004583 test-mlogloss:0.554300+0.015527
## [5] train-mlogloss:0.483636+0.002861 test-mlogloss:0.556457+0.015106
## [6] train-mlogloss:0.476419+0.004482 test-mlogloss:0.561417+0.015107
## [7] train-mlogloss:0.469944+0.004735 test-mlogloss:0.565990+0.015825
## [8] train-mlogloss:0.462548+0.006232 test-mlogloss:0.569165+0.016550
## [9] train-mlogloss:0.456162+0.005595 test-mlogloss:0.574911+0.016329
## [10] train-mlogloss:0.449675+0.006248 test-mlogloss:0.580448+0.015719
## [11] train-mlogloss:0.443373+0.006391 test-mlogloss:0.585325+0.018313
## [12] train-mlogloss:0.437027+0.006386 test-mlogloss:0.589540+0.018696
## [13] train-mlogloss:0.430255+0.005630 test-mlogloss:0.594802+0.019241
## [14] train-mlogloss:0.424454+0.005396 test-mlogloss:0.600747+0.018227
## [15] train-mlogloss:0.418478+0.004887 test-mlogloss:0.601718+0.017708
## [16] train-mlogloss:0.413622+0.005635 test-mlogloss:0.602684+0.019809
## [17] train-mlogloss:0.407926+0.006226 test-mlogloss:0.606126+0.019093
## [18] train-mlogloss:0.402579+0.005096 test-mlogloss:0.608852+0.019700
## [19] train-mlogloss:0.397481+0.005938 test-mlogloss:0.613659+0.020955
## [20] train-mlogloss:0.391584+0.006330 test-mlogloss:0.618356+0.020589
## [21] train-mlogloss:0.385718+0.007416 test-mlogloss:0.623371+0.021001
## [22] train-mlogloss:0.380329+0.008219 test-mlogloss:0.626930+0.023070
## [23] train-mlogloss:0.375885+0.007843 test-mlogloss:0.629823+0.023976
## [24] train-mlogloss:0.371350+0.007554 test-mlogloss:0.633053+0.023494
## [25] train-mlogloss:0.366873+0.007184 test-mlogloss:0.634706+0.023564
## [26] train-mlogloss:0.360764+0.007097 test-mlogloss:0.639435+0.021784
## [27] train-mlogloss:0.356507+0.007018 test-mlogloss:0.644876+0.025076
## [28] train-mlogloss:0.351888+0.007293 test-mlogloss:0.645162+0.024153
## [29] train-mlogloss:0.347966+0.007680 test-mlogloss:0.651097+0.024599
## [30] train-mlogloss:0.344361+0.007825 test-mlogloss:0.652235+0.023907
## [31] train-mlogloss:0.340180+0.007834 test-mlogloss:0.654736+0.024510
## [32] train-mlogloss:0.336437+0.007142 test-mlogloss:0.659436+0.025741
## [33] train-mlogloss:0.331960+0.006727 test-mlogloss:0.663150+0.026007
## [34] train-mlogloss:0.328712+0.006866 test-mlogloss:0.664258+0.022967
## [35] train-mlogloss:0.324116+0.005917 test-mlogloss:0.668924+0.024092
## [36] train-mlogloss:0.319164+0.006531 test-mlogloss:0.672980+0.024437
## [37] train-mlogloss:0.315529+0.006612 test-mlogloss:0.676763+0.026160
## [38] train-mlogloss:0.311379+0.006795 test-mlogloss:0.681378+0.026306
## [39] train-mlogloss:0.306876+0.006443 test-mlogloss:0.683215+0.025654
## [40] train-mlogloss:0.302871+0.006234 test-mlogloss:0.688779+0.024036
## [41] train-mlogloss:0.298153+0.005529 test-mlogloss:0.694349+0.024753
## [42] train-mlogloss:0.294190+0.005402 test-mlogloss:0.696391+0.026203
## [43] train-mlogloss:0.289717+0.005737 test-mlogloss:0.700485+0.026292
## [44] train-mlogloss:0.285209+0.005028 test-mlogloss:0.701106+0.027612
## [45] train-mlogloss:0.281940+0.005438 test-mlogloss:0.705044+0.026253
## [46] train-mlogloss:0.277675+0.005142 test-mlogloss:0.708811+0.026133
## [47] train-mlogloss:0.274000+0.005416 test-mlogloss:0.712303+0.024534
## [48] train-mlogloss:0.270515+0.006073 test-mlogloss:0.716761+0.022812
## [49] train-mlogloss:0.267215+0.005262 test-mlogloss:0.722453+0.024735
## [50] train-mlogloss:0.262995+0.005423 test-mlogloss:0.723524+0.023823
## [51] train-mlogloss:0.258969+0.005422 test-mlogloss:0.726636+0.023751
## [52] train-mlogloss:0.255204+0.005831 test-mlogloss:0.728238+0.022639
## [53] train-mlogloss:0.252311+0.005516 test-mlogloss:0.730475+0.022205
## [54] train-mlogloss:0.249160+0.005585 test-mlogloss:0.733204+0.022961
## [55] train-mlogloss:0.245971+0.006078 test-mlogloss:0.736797+0.025535
## [56] train-mlogloss:0.242447+0.005928 test-mlogloss:0.741315+0.026843
## [57] train-mlogloss:0.239393+0.006488 test-mlogloss:0.743366+0.026407
## [58] train-mlogloss:0.236401+0.005601 test-mlogloss:0.745175+0.028466
## [59] train-mlogloss:0.233855+0.005215 test-mlogloss:0.747224+0.026097
## [60] train-mlogloss:0.230852+0.005415 test-mlogloss:0.749074+0.024793
## [61] train-mlogloss:0.227644+0.006355 test-mlogloss:0.751823+0.027609
## [62] train-mlogloss:0.224766+0.005967 test-mlogloss:0.756287+0.028453
## [63] train-mlogloss:0.221513+0.005719 test-mlogloss:0.759540+0.027355
## [64] train-mlogloss:0.218446+0.005944 test-mlogloss:0.763555+0.026788
## [65] train-mlogloss:0.214928+0.005864 test-mlogloss:0.767461+0.027846
## [66] train-mlogloss:0.212299+0.006344 test-mlogloss:0.765613+0.030160
## [67] train-mlogloss:0.208886+0.006293 test-mlogloss:0.768882+0.031277
## [68] train-mlogloss:0.206668+0.006838 test-mlogloss:0.771421+0.031263
## [69] train-mlogloss:0.204041+0.006723 test-mlogloss:0.773446+0.030933
## [70] train-mlogloss:0.201410+0.006480 test-mlogloss:0.775121+0.032886
## [71] train-mlogloss:0.199037+0.006393 test-mlogloss:0.778622+0.033822
## [72] train-mlogloss:0.196654+0.006438 test-mlogloss:0.780387+0.033644
## [73] train-mlogloss:0.193978+0.006467 test-mlogloss:0.780277+0.033787
## [74] train-mlogloss:0.191462+0.006255 test-mlogloss:0.784043+0.034230
## [75] train-mlogloss:0.188685+0.006131 test-mlogloss:0.785949+0.034622
## [76] train-mlogloss:0.185778+0.007034 test-mlogloss:0.788047+0.034158
## [77] train-mlogloss:0.183573+0.006478 test-mlogloss:0.791333+0.034812
## [78] train-mlogloss:0.181778+0.006253 test-mlogloss:0.796209+0.033268
## [79] train-mlogloss:0.179508+0.005760 test-mlogloss:0.799194+0.035059
## [80] train-mlogloss:0.177738+0.005800 test-mlogloss:0.802420+0.036582
## [81] train-mlogloss:0.175352+0.005453 test-mlogloss:0.804660+0.035193
## [82] train-mlogloss:0.173039+0.005143 test-mlogloss:0.806945+0.036295
## [83] train-mlogloss:0.170700+0.005291 test-mlogloss:0.808522+0.033574
## [84] train-mlogloss:0.168317+0.004995 test-mlogloss:0.811107+0.035261
## [85] train-mlogloss:0.166384+0.005266 test-mlogloss:0.811137+0.037512
## [86] train-mlogloss:0.164381+0.004933 test-mlogloss:0.812579+0.035321
## [87] train-mlogloss:0.162608+0.004883 test-mlogloss:0.817979+0.036491
## [88] train-mlogloss:0.160489+0.004484 test-mlogloss:0.821949+0.035089
## [89] train-mlogloss:0.158547+0.004284 test-mlogloss:0.824958+0.034477
## [90] train-mlogloss:0.156483+0.003909 test-mlogloss:0.826090+0.037488
## [91] train-mlogloss:0.154565+0.003634 test-mlogloss:0.828560+0.036866
## [92] train-mlogloss:0.152962+0.003280 test-mlogloss:0.829156+0.036558
## [93] train-mlogloss:0.150708+0.003071 test-mlogloss:0.830691+0.036917
## [94] train-mlogloss:0.148839+0.003097 test-mlogloss:0.831955+0.036250
## [95] train-mlogloss:0.147117+0.003330 test-mlogloss:0.835015+0.036131
## [96] train-mlogloss:0.145310+0.003116 test-mlogloss:0.837299+0.035576
## [97] train-mlogloss:0.143335+0.003241 test-mlogloss:0.838205+0.034874
## [98] train-mlogloss:0.141878+0.003096 test-mlogloss:0.841489+0.036317
## [99] train-mlogloss:0.140314+0.002846 test-mlogloss:0.842228+0.036485
## [100] train-mlogloss:0.138878+0.002870 test-mlogloss:0.842734+0.037488
## [101] train-mlogloss:0.136975+0.003007 test-mlogloss:0.844707+0.038437
## [102] train-mlogloss:0.135358+0.003075 test-mlogloss:0.847797+0.035805
## [103] train-mlogloss:0.133590+0.003188 test-mlogloss:0.849551+0.036686
## [104] train-mlogloss:0.132186+0.003175 test-mlogloss:0.850909+0.037731
## [105] train-mlogloss:0.130617+0.003106 test-mlogloss:0.851396+0.038318
## [106] train-mlogloss:0.128660+0.003220 test-mlogloss:0.854648+0.038052
## [107] train-mlogloss:0.127005+0.003093 test-mlogloss:0.857956+0.038769
## [108] train-mlogloss:0.125415+0.002987 test-mlogloss:0.858824+0.037780
## [109] train-mlogloss:0.124044+0.002689 test-mlogloss:0.863604+0.036635
## [110] train-mlogloss:0.122524+0.002726 test-mlogloss:0.863567+0.038182
## [111] train-mlogloss:0.121110+0.003030 test-mlogloss:0.868230+0.036916
## [112] train-mlogloss:0.119983+0.002764 test-mlogloss:0.868284+0.035880
## [113] train-mlogloss:0.118724+0.002762 test-mlogloss:0.871260+0.036587
## [114] train-mlogloss:0.117282+0.002704 test-mlogloss:0.874435+0.035221
## [115] train-mlogloss:0.116221+0.002652 test-mlogloss:0.877211+0.035326
## [116] train-mlogloss:0.114695+0.002658 test-mlogloss:0.877024+0.035716
## [117] train-mlogloss:0.113314+0.002793 test-mlogloss:0.876833+0.035943
## [118] train-mlogloss:0.112029+0.002804 test-mlogloss:0.880591+0.035640
## [119] train-mlogloss:0.110706+0.002645 test-mlogloss:0.883274+0.036791
## [120] train-mlogloss:0.109541+0.002720 test-mlogloss:0.885326+0.036715
## [121] train-mlogloss:0.108342+0.002696 test-mlogloss:0.885462+0.038246
## [122] train-mlogloss:0.106853+0.002552 test-mlogloss:0.887941+0.036369
## [123] train-mlogloss:0.105806+0.002764 test-mlogloss:0.890546+0.036905
## [124] train-mlogloss:0.104769+0.002565 test-mlogloss:0.890829+0.037365
## [125] train-mlogloss:0.103675+0.002559 test-mlogloss:0.895309+0.037657
## [126] train-mlogloss:0.102570+0.002399 test-mlogloss:0.896280+0.039266
## [127] train-mlogloss:0.101621+0.002424 test-mlogloss:0.896932+0.039650
## [128] train-mlogloss:0.100715+0.002524 test-mlogloss:0.898082+0.040482
## [129] train-mlogloss:0.099496+0.002397 test-mlogloss:0.901122+0.039630
## [130] train-mlogloss:0.098550+0.002383 test-mlogloss:0.901459+0.038011
## [131] train-mlogloss:0.097546+0.002287 test-mlogloss:0.903998+0.037292
## [132] train-mlogloss:0.096260+0.002045 test-mlogloss:0.905926+0.039100
## [133] train-mlogloss:0.095230+0.001919 test-mlogloss:0.908523+0.038059
## [134] train-mlogloss:0.094374+0.001938 test-mlogloss:0.910212+0.038613
## [135] train-mlogloss:0.093281+0.002091 test-mlogloss:0.913417+0.039141
## [136] train-mlogloss:0.092332+0.002036 test-mlogloss:0.916198+0.036299
## [137] train-mlogloss:0.091274+0.002025 test-mlogloss:0.917674+0.036283
## [138] train-mlogloss:0.090329+0.002096 test-mlogloss:0.920086+0.034928
## [139] train-mlogloss:0.089458+0.001853 test-mlogloss:0.920647+0.035239
## [140] train-mlogloss:0.088676+0.001706 test-mlogloss:0.924734+0.036018
## [141] train-mlogloss:0.087780+0.001722 test-mlogloss:0.925834+0.037353
## [142] train-mlogloss:0.086934+0.001724 test-mlogloss:0.928429+0.036294
## [143] train-mlogloss:0.086083+0.001669 test-mlogloss:0.929893+0.037301
## [144] train-mlogloss:0.085020+0.001280 test-mlogloss:0.930328+0.037864
## [145] train-mlogloss:0.084137+0.001340 test-mlogloss:0.933318+0.037088
## [146] train-mlogloss:0.083439+0.001451 test-mlogloss:0.934689+0.037702
## [147] train-mlogloss:0.082575+0.001527 test-mlogloss:0.936237+0.037134
## [148] train-mlogloss:0.081615+0.001675 test-mlogloss:0.937253+0.036452
## [149] train-mlogloss:0.080793+0.001976 test-mlogloss:0.938633+0.038178
## [150] train-mlogloss:0.080027+0.001960 test-mlogloss:0.942422+0.039648
## [151] train-mlogloss:0.079417+0.001978 test-mlogloss:0.944455+0.039717
## [152] train-mlogloss:0.078487+0.001801 test-mlogloss:0.946560+0.039437
## [153] train-mlogloss:0.077928+0.001788 test-mlogloss:0.948374+0.039950
## [154] train-mlogloss:0.077225+0.001755 test-mlogloss:0.948442+0.041004
## [155] train-mlogloss:0.076398+0.001737 test-mlogloss:0.950316+0.039315
## [156] train-mlogloss:0.075519+0.001683 test-mlogloss:0.952103+0.039992
## [157] train-mlogloss:0.074778+0.001483 test-mlogloss:0.954102+0.041018
## [158] train-mlogloss:0.074185+0.001586 test-mlogloss:0.955224+0.041884
## [159] train-mlogloss:0.073626+0.001612 test-mlogloss:0.955863+0.042148
## [160] train-mlogloss:0.073069+0.001610 test-mlogloss:0.956418+0.041820
## [161] train-mlogloss:0.072269+0.001720 test-mlogloss:0.957889+0.042649
## [162] train-mlogloss:0.071508+0.001594 test-mlogloss:0.961477+0.041051
## [163] train-mlogloss:0.070811+0.001667 test-mlogloss:0.963678+0.041875
## [164] train-mlogloss:0.070114+0.001865 test-mlogloss:0.964615+0.042492
## [165] train-mlogloss:0.069406+0.001847 test-mlogloss:0.965604+0.041454
## [166] train-mlogloss:0.068661+0.001791 test-mlogloss:0.968755+0.040365
## [167] train-mlogloss:0.068045+0.001873 test-mlogloss:0.969658+0.040504
## [168] train-mlogloss:0.067433+0.001823 test-mlogloss:0.973254+0.041899
## [169] train-mlogloss:0.067001+0.001739 test-mlogloss:0.975329+0.043173
## [170] train-mlogloss:0.066407+0.001637 test-mlogloss:0.975639+0.044002
## [171] train-mlogloss:0.065884+0.001521 test-mlogloss:0.976841+0.042650
## [172] train-mlogloss:0.065372+0.001439 test-mlogloss:0.978547+0.042380
## [173] train-mlogloss:0.064734+0.001356 test-mlogloss:0.980281+0.043432
## [174] train-mlogloss:0.064129+0.001335 test-mlogloss:0.981985+0.043653
## [175] train-mlogloss:0.063444+0.001334 test-mlogloss:0.983363+0.043927
## [176] train-mlogloss:0.062751+0.001234 test-mlogloss:0.985249+0.044710
## [177] train-mlogloss:0.062330+0.001172 test-mlogloss:0.987813+0.044349
## [178] train-mlogloss:0.061816+0.001208 test-mlogloss:0.988620+0.044573
## [179] train-mlogloss:0.061365+0.001285 test-mlogloss:0.990501+0.043677
## [180] train-mlogloss:0.060930+0.001369 test-mlogloss:0.992529+0.044971
## [181] train-mlogloss:0.060282+0.001367 test-mlogloss:0.992340+0.043975
## [182] train-mlogloss:0.059731+0.001358 test-mlogloss:0.995140+0.042134
## [183] train-mlogloss:0.059214+0.001356 test-mlogloss:0.995184+0.042244
## [184] train-mlogloss:0.058753+0.001329 test-mlogloss:0.996156+0.042973
## [185] train-mlogloss:0.058322+0.001451 test-mlogloss:0.996942+0.042754
## [186] train-mlogloss:0.057781+0.001327 test-mlogloss:0.998893+0.040241
## [187] train-mlogloss:0.057287+0.001311 test-mlogloss:0.999214+0.038977
## [188] train-mlogloss:0.056773+0.001363 test-mlogloss:0.999870+0.038854
## [189] train-mlogloss:0.056283+0.001421 test-mlogloss:1.003237+0.038265
## [190] train-mlogloss:0.055814+0.001463 test-mlogloss:1.002822+0.038027
## [191] train-mlogloss:0.055342+0.001384 test-mlogloss:1.003842+0.038359
## [192] train-mlogloss:0.054959+0.001437 test-mlogloss:1.006984+0.039092
## [193] train-mlogloss:0.054529+0.001467 test-mlogloss:1.009651+0.039087
## [194] train-mlogloss:0.054072+0.001335 test-mlogloss:1.010935+0.039812
## [195] train-mlogloss:0.053593+0.001276 test-mlogloss:1.012683+0.040826
## [196] train-mlogloss:0.053268+0.001232 test-mlogloss:1.013426+0.039612
## [197] train-mlogloss:0.052909+0.001252 test-mlogloss:1.015062+0.042343
## [198] train-mlogloss:0.052435+0.001278 test-mlogloss:1.016965+0.046205
## [199] train-mlogloss:0.052002+0.001290 test-mlogloss:1.018570+0.045859
## [200] train-mlogloss:0.051560+0.001209 test-mlogloss:1.017966+0.046505
## [201] train-mlogloss:0.051111+0.001228 test-mlogloss:1.020105+0.045117
## [202] train-mlogloss:0.050669+0.001280 test-mlogloss:1.020200+0.044247
## [203] train-mlogloss:0.050231+0.001272 test-mlogloss:1.021979+0.042875
## [204] train-mlogloss:0.049825+0.001025 test-mlogloss:1.024265+0.044032
## [205] train-mlogloss:0.049486+0.001041 test-mlogloss:1.025287+0.045485
## [206] train-mlogloss:0.049093+0.001031 test-mlogloss:1.025242+0.046065
## [207] train-mlogloss:0.048694+0.001032 test-mlogloss:1.027888+0.045064
## [208] train-mlogloss:0.048232+0.001117 test-mlogloss:1.029373+0.043548
## [209] train-mlogloss:0.047915+0.001172 test-mlogloss:1.031556+0.042236
## [210] train-mlogloss:0.047510+0.001209 test-mlogloss:1.033301+0.043175
## [211] train-mlogloss:0.047103+0.001203 test-mlogloss:1.034779+0.043785
## [212] train-mlogloss:0.046767+0.001146 test-mlogloss:1.035776+0.044785
## [213] train-mlogloss:0.046433+0.001293 test-mlogloss:1.036953+0.044732
## [214] train-mlogloss:0.046096+0.001325 test-mlogloss:1.038651+0.044219
## [215] train-mlogloss:0.045705+0.001302 test-mlogloss:1.040058+0.044556
## [216] train-mlogloss:0.045329+0.001296 test-mlogloss:1.041202+0.045891
## [217] train-mlogloss:0.045089+0.001254 test-mlogloss:1.044108+0.043905
## [218] train-mlogloss:0.044751+0.001331 test-mlogloss:1.044852+0.044032
## [219] train-mlogloss:0.044369+0.001336 test-mlogloss:1.045588+0.044860
## [220] train-mlogloss:0.044030+0.001285 test-mlogloss:1.047896+0.045821
## [221] train-mlogloss:0.043598+0.001322 test-mlogloss:1.047210+0.046570
## [222] train-mlogloss:0.043305+0.001311 test-mlogloss:1.047568+0.045486
## [223] train-mlogloss:0.043008+0.001230 test-mlogloss:1.050782+0.045813
## [224] train-mlogloss:0.042645+0.001199 test-mlogloss:1.050709+0.046213
## [225] train-mlogloss:0.042341+0.001188 test-mlogloss:1.051141+0.047877
## [226] train-mlogloss:0.042081+0.001179 test-mlogloss:1.051468+0.047761
## [227] train-mlogloss:0.041755+0.001145 test-mlogloss:1.054051+0.046596
## [228] train-mlogloss:0.041557+0.001063 test-mlogloss:1.056346+0.046762
## [229] train-mlogloss:0.041194+0.001070 test-mlogloss:1.058831+0.046997
## [230] train-mlogloss:0.040916+0.001115 test-mlogloss:1.059616+0.045222
## [231] train-mlogloss:0.040622+0.001081 test-mlogloss:1.060939+0.046564
## [232] train-mlogloss:0.040283+0.001148 test-mlogloss:1.060626+0.045883
## [233] train-mlogloss:0.039960+0.001212 test-mlogloss:1.063824+0.046403
## [234] train-mlogloss:0.039670+0.001254 test-mlogloss:1.065468+0.047723
## [235] train-mlogloss:0.039437+0.001264 test-mlogloss:1.066214+0.050438
## [236] train-mlogloss:0.039189+0.001282 test-mlogloss:1.066461+0.048738
## [237] train-mlogloss:0.038942+0.001278 test-mlogloss:1.065644+0.047390
## [238] train-mlogloss:0.038617+0.001304 test-mlogloss:1.067628+0.047913
## [239] train-mlogloss:0.038339+0.001246 test-mlogloss:1.069262+0.047361
## [240] train-mlogloss:0.038126+0.001265 test-mlogloss:1.070993+0.048144
## [241] train-mlogloss:0.037911+0.001268 test-mlogloss:1.073054+0.050583
## [242] train-mlogloss:0.037671+0.001299 test-mlogloss:1.073356+0.051832
## [243] train-mlogloss:0.037415+0.001294 test-mlogloss:1.075499+0.052101
## [244] train-mlogloss:0.037164+0.001297 test-mlogloss:1.077692+0.052363
## [245] train-mlogloss:0.036873+0.001298 test-mlogloss:1.080009+0.051250
## [246] train-mlogloss:0.036579+0.001241 test-mlogloss:1.081866+0.051474
## [247] train-mlogloss:0.036314+0.001170 test-mlogloss:1.082499+0.051921
## [248] train-mlogloss:0.036051+0.001174 test-mlogloss:1.083582+0.051013
## [249] train-mlogloss:0.035770+0.001184 test-mlogloss:1.084212+0.052003
## [250] train-mlogloss:0.035539+0.001143 test-mlogloss:1.084600+0.051401
## [251] train-mlogloss:0.035313+0.001096 test-mlogloss:1.086897+0.051784
## [252] train-mlogloss:0.035085+0.001092 test-mlogloss:1.088985+0.051649
## [253] train-mlogloss:0.034897+0.001071 test-mlogloss:1.089167+0.051021
## [254] train-mlogloss:0.034709+0.001005 test-mlogloss:1.091312+0.051802
## [255] train-mlogloss:0.034524+0.000975 test-mlogloss:1.089861+0.050523
## [256] train-mlogloss:0.034266+0.000963 test-mlogloss:1.091499+0.049750
## [257] train-mlogloss:0.034094+0.000963 test-mlogloss:1.091424+0.049941
## [258] train-mlogloss:0.033833+0.000958 test-mlogloss:1.092975+0.050445
## [259] train-mlogloss:0.033638+0.000920 test-mlogloss:1.095063+0.050328
## [260] train-mlogloss:0.033449+0.000941 test-mlogloss:1.095389+0.050479
## [261] train-mlogloss:0.033262+0.000920 test-mlogloss:1.096442+0.049359
## [262] train-mlogloss:0.033055+0.000866 test-mlogloss:1.097401+0.048583
## [263] train-mlogloss:0.032870+0.000881 test-mlogloss:1.097619+0.048115
## [264] train-mlogloss:0.032685+0.000866 test-mlogloss:1.097841+0.048814
## [265] train-mlogloss:0.032479+0.000864 test-mlogloss:1.099859+0.047471
## [266] train-mlogloss:0.032280+0.000861 test-mlogloss:1.100531+0.047456
## [267] train-mlogloss:0.032075+0.000863 test-mlogloss:1.101393+0.047574
## [268] train-mlogloss:0.031873+0.000908 test-mlogloss:1.103374+0.047947
## [269] train-mlogloss:0.031684+0.000904 test-mlogloss:1.105330+0.048013
## [270] train-mlogloss:0.031520+0.000901 test-mlogloss:1.108153+0.046708
## [271] train-mlogloss:0.031317+0.000924 test-mlogloss:1.107905+0.046937
## [272] train-mlogloss:0.031077+0.000935 test-mlogloss:1.109715+0.047900
## [273] train-mlogloss:0.030878+0.000941 test-mlogloss:1.110442+0.046481
## [274] train-mlogloss:0.030694+0.000916 test-mlogloss:1.112059+0.046952
## [275] train-mlogloss:0.030555+0.000931 test-mlogloss:1.113509+0.048408
## [276] train-mlogloss:0.030373+0.000974 test-mlogloss:1.114513+0.047762
## [277] train-mlogloss:0.030202+0.000965 test-mlogloss:1.115916+0.048001
## [278] train-mlogloss:0.029985+0.000956 test-mlogloss:1.116613+0.048340
## [279] train-mlogloss:0.029859+0.000971 test-mlogloss:1.117904+0.049101
## [280] train-mlogloss:0.029632+0.000920 test-mlogloss:1.119298+0.048654
## [281] train-mlogloss:0.029407+0.000888 test-mlogloss:1.120235+0.047951
## [282] train-mlogloss:0.029239+0.000896 test-mlogloss:1.120289+0.048217
## [283] train-mlogloss:0.029107+0.000869 test-mlogloss:1.121887+0.049472
## [284] train-mlogloss:0.028945+0.000825 test-mlogloss:1.121046+0.049851
## [285] train-mlogloss:0.028774+0.000823 test-mlogloss:1.123109+0.049525
## [286] train-mlogloss:0.028593+0.000822 test-mlogloss:1.127356+0.049478
## [287] train-mlogloss:0.028470+0.000840 test-mlogloss:1.126987+0.048619
## [288] train-mlogloss:0.028279+0.000812 test-mlogloss:1.126897+0.048265
## [289] train-mlogloss:0.028134+0.000791 test-mlogloss:1.127184+0.048779
## [290] train-mlogloss:0.028019+0.000792 test-mlogloss:1.128402+0.051176
## [291] train-mlogloss:0.027900+0.000799 test-mlogloss:1.128135+0.049846
## [292] train-mlogloss:0.027807+0.000799 test-mlogloss:1.127968+0.048863
## [293] train-mlogloss:0.027679+0.000803 test-mlogloss:1.129648+0.049012
## [294] train-mlogloss:0.027538+0.000808 test-mlogloss:1.129561+0.048467
## [295] train-mlogloss:0.027395+0.000819 test-mlogloss:1.130194+0.048284
## [296] train-mlogloss:0.027259+0.000833 test-mlogloss:1.132656+0.048711
## [297] train-mlogloss:0.027165+0.000780 test-mlogloss:1.134054+0.047682
## [298] train-mlogloss:0.027030+0.000794 test-mlogloss:1.133689+0.048070
## [299] train-mlogloss:0.026896+0.000812 test-mlogloss:1.133747+0.047268
## [300] train-mlogloss:0.026723+0.000788 test-mlogloss:1.134474+0.046522
## [301] train-mlogloss:0.026630+0.000771 test-mlogloss:1.134911+0.047082
## [302] train-mlogloss:0.026490+0.000741 test-mlogloss:1.134520+0.045559
## [303] train-mlogloss:0.026378+0.000761 test-mlogloss:1.134618+0.045920
## [304] train-mlogloss:0.026259+0.000726 test-mlogloss:1.135385+0.045362
## [305] train-mlogloss:0.026122+0.000735 test-mlogloss:1.135941+0.046645
## [306] train-mlogloss:0.025971+0.000737 test-mlogloss:1.136750+0.046547
## [307] train-mlogloss:0.025859+0.000764 test-mlogloss:1.139600+0.047166
## [308] train-mlogloss:0.025730+0.000728 test-mlogloss:1.139049+0.046958
## [309] train-mlogloss:0.025609+0.000740 test-mlogloss:1.140119+0.046774
## [310] train-mlogloss:0.025447+0.000740 test-mlogloss:1.141285+0.047944
## [311] train-mlogloss:0.025354+0.000729 test-mlogloss:1.140006+0.047772
## [312] train-mlogloss:0.025233+0.000692 test-mlogloss:1.140948+0.048176
## [313] train-mlogloss:0.025143+0.000677 test-mlogloss:1.142398+0.047103
## [314] train-mlogloss:0.025028+0.000687 test-mlogloss:1.142751+0.047600
## [315] train-mlogloss:0.024906+0.000664 test-mlogloss:1.143450+0.046150
## [316] train-mlogloss:0.024798+0.000678 test-mlogloss:1.144901+0.045725
## [317] train-mlogloss:0.024691+0.000681 test-mlogloss:1.144941+0.044744
## [318] train-mlogloss:0.024585+0.000660 test-mlogloss:1.145554+0.046033
## [319] train-mlogloss:0.024469+0.000654 test-mlogloss:1.146322+0.045112
## [320] train-mlogloss:0.024369+0.000645 test-mlogloss:1.147016+0.044992
## [321] train-mlogloss:0.024312+0.000608 test-mlogloss:1.146551+0.045664
## [322] train-mlogloss:0.024187+0.000624 test-mlogloss:1.145720+0.045427
## [323] train-mlogloss:0.024088+0.000622 test-mlogloss:1.148010+0.046407
## [324] train-mlogloss:0.023996+0.000641 test-mlogloss:1.148123+0.046536
## [325] train-mlogloss:0.023881+0.000659 test-mlogloss:1.149812+0.044745
## [326] train-mlogloss:0.023752+0.000651 test-mlogloss:1.151755+0.046657
## [327] train-mlogloss:0.023632+0.000675 test-mlogloss:1.151596+0.045605
## [328] train-mlogloss:0.023519+0.000596 test-mlogloss:1.151918+0.045238
## [329] train-mlogloss:0.023411+0.000587 test-mlogloss:1.153163+0.044622
## [330] train-mlogloss:0.023309+0.000597 test-mlogloss:1.152434+0.045014
## [331] train-mlogloss:0.023218+0.000575 test-mlogloss:1.152816+0.045477
## [332] train-mlogloss:0.023119+0.000561 test-mlogloss:1.155051+0.046356
## [333] train-mlogloss:0.023020+0.000513 test-mlogloss:1.155850+0.046647
## [334] train-mlogloss:0.022919+0.000499 test-mlogloss:1.155729+0.045348
## [335] train-mlogloss:0.022841+0.000531 test-mlogloss:1.155974+0.046486
## [336] train-mlogloss:0.022756+0.000531 test-mlogloss:1.156632+0.046773
## [337] train-mlogloss:0.022658+0.000543 test-mlogloss:1.155848+0.047190
## [338] train-mlogloss:0.022534+0.000536 test-mlogloss:1.157270+0.044629
## [339] train-mlogloss:0.022457+0.000534 test-mlogloss:1.158303+0.046130
## [340] train-mlogloss:0.022373+0.000533 test-mlogloss:1.159031+0.046556
## [341] train-mlogloss:0.022298+0.000545 test-mlogloss:1.159785+0.046970
## [342] train-mlogloss:0.022220+0.000554 test-mlogloss:1.160827+0.046030
## [343] train-mlogloss:0.022122+0.000607 test-mlogloss:1.162808+0.047994
## [344] train-mlogloss:0.022054+0.000600 test-mlogloss:1.163463+0.048715
## [345] train-mlogloss:0.021962+0.000581 test-mlogloss:1.165185+0.049262
## [346] train-mlogloss:0.021841+0.000566 test-mlogloss:1.165918+0.049495
## [347] train-mlogloss:0.021755+0.000579 test-mlogloss:1.168009+0.049081
## [348] train-mlogloss:0.021691+0.000573 test-mlogloss:1.168226+0.048881
## [349] train-mlogloss:0.021610+0.000591 test-mlogloss:1.167724+0.049085
## [350] train-mlogloss:0.021507+0.000574 test-mlogloss:1.168766+0.049231
## [351] train-mlogloss:0.021444+0.000560 test-mlogloss:1.170278+0.049517
## [352] train-mlogloss:0.021332+0.000571 test-mlogloss:1.170107+0.048824
## [353] train-mlogloss:0.021248+0.000581 test-mlogloss:1.172237+0.050066
## [354] train-mlogloss:0.021155+0.000565 test-mlogloss:1.172472+0.050942
## [355] train-mlogloss:0.021089+0.000568 test-mlogloss:1.173020+0.050610
## [356] train-mlogloss:0.021017+0.000576 test-mlogloss:1.173763+0.051033
## [357] train-mlogloss:0.020937+0.000564 test-mlogloss:1.174274+0.050830
## [358] train-mlogloss:0.020831+0.000553 test-mlogloss:1.176150+0.050871
## [359] train-mlogloss:0.020767+0.000559 test-mlogloss:1.175810+0.050530
## [360] train-mlogloss:0.020673+0.000528 test-mlogloss:1.176120+0.050888
## [361] train-mlogloss:0.020600+0.000530 test-mlogloss:1.178066+0.050544
## [362] train-mlogloss:0.020518+0.000554 test-mlogloss:1.177790+0.050219
## [363] train-mlogloss:0.020445+0.000532 test-mlogloss:1.178402+0.049552
## [364] train-mlogloss:0.020381+0.000515 test-mlogloss:1.180714+0.048860
## [365] train-mlogloss:0.020290+0.000509 test-mlogloss:1.180947+0.049473
## [366] train-mlogloss:0.020229+0.000507 test-mlogloss:1.181992+0.048363
## [367] train-mlogloss:0.020150+0.000496 test-mlogloss:1.182035+0.049368
## [368] train-mlogloss:0.020063+0.000488 test-mlogloss:1.181955+0.049326
## [369] train-mlogloss:0.019976+0.000489 test-mlogloss:1.182702+0.050553
## [370] train-mlogloss:0.019878+0.000485 test-mlogloss:1.182963+0.049398
## [371] train-mlogloss:0.019800+0.000476 test-mlogloss:1.183462+0.049236
## [372] train-mlogloss:0.019748+0.000488 test-mlogloss:1.182970+0.049802
## [373] train-mlogloss:0.019692+0.000490 test-mlogloss:1.182290+0.048809
## [374] train-mlogloss:0.019606+0.000487 test-mlogloss:1.184092+0.049982
## [375] train-mlogloss:0.019527+0.000483 test-mlogloss:1.185751+0.051147
## [376] train-mlogloss:0.019438+0.000454 test-mlogloss:1.185694+0.051446
## [377] train-mlogloss:0.019384+0.000459 test-mlogloss:1.185215+0.050312
## [378] train-mlogloss:0.019296+0.000463 test-mlogloss:1.185868+0.051475
## [379] train-mlogloss:0.019236+0.000448 test-mlogloss:1.187804+0.052751
## [380] train-mlogloss:0.019150+0.000458 test-mlogloss:1.187631+0.051578
## [381] train-mlogloss:0.019090+0.000457 test-mlogloss:1.188645+0.051769
## [382] train-mlogloss:0.019021+0.000463 test-mlogloss:1.189055+0.052866
## [383] train-mlogloss:0.018962+0.000459 test-mlogloss:1.189236+0.052574
## [384] train-mlogloss:0.018899+0.000456 test-mlogloss:1.190011+0.051865
## [385] train-mlogloss:0.018840+0.000462 test-mlogloss:1.189993+0.052074
## [386] train-mlogloss:0.018770+0.000482 test-mlogloss:1.188995+0.053200
## [387] train-mlogloss:0.018715+0.000487 test-mlogloss:1.190016+0.053214
## [388] train-mlogloss:0.018653+0.000480 test-mlogloss:1.190784+0.052407
## [389] train-mlogloss:0.018594+0.000476 test-mlogloss:1.193118+0.053481
## [390] train-mlogloss:0.018527+0.000500 test-mlogloss:1.193389+0.053544
## [391] train-mlogloss:0.018471+0.000490 test-mlogloss:1.195472+0.052472
## [392] train-mlogloss:0.018391+0.000504 test-mlogloss:1.194859+0.053530
## [393] train-mlogloss:0.018323+0.000512 test-mlogloss:1.195674+0.053823
## [394] train-mlogloss:0.018254+0.000511 test-mlogloss:1.195925+0.054918
## [395] train-mlogloss:0.018192+0.000509 test-mlogloss:1.197171+0.053985
## [396] train-mlogloss:0.018132+0.000500 test-mlogloss:1.196975+0.053897
## [397] train-mlogloss:0.018090+0.000503 test-mlogloss:1.196480+0.052966
## [398] train-mlogloss:0.018004+0.000516 test-mlogloss:1.197801+0.053831
## [399] train-mlogloss:0.017940+0.000514 test-mlogloss:1.197053+0.053354
## [400] train-mlogloss:0.017888+0.000506 test-mlogloss:1.198762+0.054192
## [401] train-mlogloss:0.017832+0.000517 test-mlogloss:1.199523+0.054264
## [402] train-mlogloss:0.017772+0.000512 test-mlogloss:1.199634+0.054776
## [403] train-mlogloss:0.017701+0.000504 test-mlogloss:1.200910+0.053477
## [404] train-mlogloss:0.017656+0.000490 test-mlogloss:1.200761+0.054334
## [405] train-mlogloss:0.017586+0.000476 test-mlogloss:1.201429+0.052999
## [406] train-mlogloss:0.017536+0.000470 test-mlogloss:1.203212+0.054021
## [407] train-mlogloss:0.017482+0.000479 test-mlogloss:1.204481+0.054146
## [408] train-mlogloss:0.017441+0.000468 test-mlogloss:1.204813+0.054810
## [409] train-mlogloss:0.017376+0.000439 test-mlogloss:1.204829+0.053688
## [410] train-mlogloss:0.017317+0.000429 test-mlogloss:1.206669+0.052539
## [411] train-mlogloss:0.017272+0.000420 test-mlogloss:1.208149+0.052873
## [412] train-mlogloss:0.017219+0.000428 test-mlogloss:1.208035+0.053360
## [413] train-mlogloss:0.017147+0.000409 test-mlogloss:1.209141+0.055612
## [414] train-mlogloss:0.017088+0.000415 test-mlogloss:1.209255+0.055633
## [415] train-mlogloss:0.017045+0.000408 test-mlogloss:1.208931+0.055633
## [416] train-mlogloss:0.016970+0.000407 test-mlogloss:1.208589+0.054829
## [417] train-mlogloss:0.016908+0.000414 test-mlogloss:1.209856+0.054707
## [418] train-mlogloss:0.016863+0.000410 test-mlogloss:1.209684+0.055139
## [419] train-mlogloss:0.016815+0.000413 test-mlogloss:1.210629+0.056350
## [420] train-mlogloss:0.016751+0.000420 test-mlogloss:1.211322+0.054986
## [421] train-mlogloss:0.016693+0.000422 test-mlogloss:1.210963+0.055168
## [422] train-mlogloss:0.016652+0.000414 test-mlogloss:1.212691+0.054344
## [423] train-mlogloss:0.016601+0.000407 test-mlogloss:1.211673+0.054249
## [424] train-mlogloss:0.016540+0.000402 test-mlogloss:1.211853+0.054597
## [425] train-mlogloss:0.016500+0.000410 test-mlogloss:1.212513+0.054748
## [426] train-mlogloss:0.016443+0.000405 test-mlogloss:1.212891+0.053595
## [427] train-mlogloss:0.016407+0.000391 test-mlogloss:1.213888+0.054044
## [428] train-mlogloss:0.016356+0.000377 test-mlogloss:1.214492+0.052110
## [429] train-mlogloss:0.016296+0.000377 test-mlogloss:1.214465+0.051601
## [430] train-mlogloss:0.016259+0.000382 test-mlogloss:1.214956+0.051839
## [431] train-mlogloss:0.016205+0.000385 test-mlogloss:1.216581+0.051711
## [432] train-mlogloss:0.016169+0.000372 test-mlogloss:1.216293+0.052765
## [433] train-mlogloss:0.016121+0.000369 test-mlogloss:1.217334+0.054008
## [434] train-mlogloss:0.016077+0.000382 test-mlogloss:1.218387+0.054375
## [435] train-mlogloss:0.016045+0.000393 test-mlogloss:1.218052+0.054483
## [436] train-mlogloss:0.016014+0.000374 test-mlogloss:1.219560+0.054154
## [437] train-mlogloss:0.015984+0.000365 test-mlogloss:1.220084+0.054535
## [438] train-mlogloss:0.015941+0.000358 test-mlogloss:1.219331+0.054909
## [439] train-mlogloss:0.015885+0.000355 test-mlogloss:1.219528+0.053289
## [440] train-mlogloss:0.015852+0.000349 test-mlogloss:1.221330+0.055105
## [441] train-mlogloss:0.015800+0.000340 test-mlogloss:1.222615+0.053297
## [442] train-mlogloss:0.015759+0.000327 test-mlogloss:1.223244+0.052869
## [443] train-mlogloss:0.015712+0.000317 test-mlogloss:1.222760+0.054159
## [444] train-mlogloss:0.015655+0.000330 test-mlogloss:1.225152+0.053785
## [445] train-mlogloss:0.015608+0.000320 test-mlogloss:1.227231+0.054494
## [446] train-mlogloss:0.015565+0.000312 test-mlogloss:1.228161+0.054772
## [447] train-mlogloss:0.015520+0.000309 test-mlogloss:1.227487+0.055674
## [448] train-mlogloss:0.015470+0.000296 test-mlogloss:1.228511+0.055512
## [449] train-mlogloss:0.015427+0.000306 test-mlogloss:1.229013+0.053993
## [450] train-mlogloss:0.015388+0.000312 test-mlogloss:1.229399+0.055097
## [451] train-mlogloss:0.015325+0.000326 test-mlogloss:1.230282+0.054372
## [452] train-mlogloss:0.015278+0.000327 test-mlogloss:1.230917+0.055619
## [453] train-mlogloss:0.015241+0.000341 test-mlogloss:1.231421+0.055127
## [454] train-mlogloss:0.015206+0.000339 test-mlogloss:1.232230+0.055674
## [455] train-mlogloss:0.015167+0.000349 test-mlogloss:1.231561+0.055773
## [456] train-mlogloss:0.015133+0.000346 test-mlogloss:1.231451+0.055998
## [457] train-mlogloss:0.015091+0.000348 test-mlogloss:1.231427+0.055418
## [458] train-mlogloss:0.015048+0.000350 test-mlogloss:1.232836+0.054281
## [459] train-mlogloss:0.014995+0.000353 test-mlogloss:1.233496+0.053671
## [460] train-mlogloss:0.014959+0.000349 test-mlogloss:1.233119+0.054087
## [461] train-mlogloss:0.014902+0.000360 test-mlogloss:1.234013+0.054617
## [462] train-mlogloss:0.014874+0.000361 test-mlogloss:1.234535+0.055626
## [463] train-mlogloss:0.014826+0.000360 test-mlogloss:1.235713+0.055602
## [464] train-mlogloss:0.014798+0.000363 test-mlogloss:1.237476+0.056182
## [465] train-mlogloss:0.014751+0.000369 test-mlogloss:1.237776+0.056415
## [466] train-mlogloss:0.014717+0.000373 test-mlogloss:1.236564+0.056411
## [467] train-mlogloss:0.014675+0.000367 test-mlogloss:1.237218+0.055413
## [468] train-mlogloss:0.014629+0.000367 test-mlogloss:1.237731+0.056360
## [469] train-mlogloss:0.014590+0.000364 test-mlogloss:1.237075+0.056440
## [470] train-mlogloss:0.014551+0.000374 test-mlogloss:1.237444+0.055594
## [471] train-mlogloss:0.014507+0.000359 test-mlogloss:1.238594+0.055970
## [472] train-mlogloss:0.014477+0.000348 test-mlogloss:1.238776+0.056762
## [473] train-mlogloss:0.014446+0.000344 test-mlogloss:1.239391+0.056867
## [474] train-mlogloss:0.014406+0.000351 test-mlogloss:1.239654+0.057240
## [475] train-mlogloss:0.014378+0.000351 test-mlogloss:1.239749+0.057347
## [476] train-mlogloss:0.014335+0.000342 test-mlogloss:1.242660+0.056878
## [477] train-mlogloss:0.014298+0.000337 test-mlogloss:1.242088+0.056635
## [478] train-mlogloss:0.014272+0.000331 test-mlogloss:1.243317+0.056924
## [479] train-mlogloss:0.014226+0.000329 test-mlogloss:1.244395+0.057077
## [480] train-mlogloss:0.014201+0.000331 test-mlogloss:1.244349+0.056556
## [481] train-mlogloss:0.014163+0.000326 test-mlogloss:1.245658+0.055744
## [482] train-mlogloss:0.014119+0.000316 test-mlogloss:1.246137+0.055436
## [483] train-mlogloss:0.014085+0.000311 test-mlogloss:1.245942+0.055504
## [484] train-mlogloss:0.014039+0.000316 test-mlogloss:1.248028+0.055255
## [485] train-mlogloss:0.013994+0.000308 test-mlogloss:1.249136+0.055963
## [486] train-mlogloss:0.013956+0.000309 test-mlogloss:1.249778+0.055833
## [487] train-mlogloss:0.013920+0.000315 test-mlogloss:1.249695+0.056352
## [488] train-mlogloss:0.013887+0.000310 test-mlogloss:1.249204+0.057295
## [489] train-mlogloss:0.013854+0.000308 test-mlogloss:1.251305+0.057506
## [490] train-mlogloss:0.013815+0.000306 test-mlogloss:1.252565+0.056929
## [491] train-mlogloss:0.013781+0.000301 test-mlogloss:1.252697+0.057705
## [492] train-mlogloss:0.013743+0.000294 test-mlogloss:1.253303+0.057788
## [493] train-mlogloss:0.013718+0.000290 test-mlogloss:1.253926+0.058844
## [494] train-mlogloss:0.013679+0.000286 test-mlogloss:1.253880+0.058155
## [495] train-mlogloss:0.013642+0.000275 test-mlogloss:1.254947+0.058437
## [496] train-mlogloss:0.013607+0.000286 test-mlogloss:1.254429+0.058313
## [497] train-mlogloss:0.013562+0.000276 test-mlogloss:1.254189+0.059270
## [498] train-mlogloss:0.013535+0.000270 test-mlogloss:1.255439+0.058653
## [499] train-mlogloss:0.013509+0.000268 test-mlogloss:1.255742+0.056809
## [500] train-mlogloss:0.013470+0.000261 test-mlogloss:1.255455+0.056107
## [1] train-mlogloss:0.469100+0.002687 test-mlogloss:0.578198+0.010076
## [2] train-mlogloss:0.400487+0.005355 test-mlogloss:0.595163+0.009969
## [3] train-mlogloss:0.352391+0.006280 test-mlogloss:0.627413+0.009055
## [4] train-mlogloss:0.315174+0.006559 test-mlogloss:0.650266+0.007426
## [5] train-mlogloss:0.282105+0.005495 test-mlogloss:0.679657+0.006654
## [6] train-mlogloss:0.255135+0.003664 test-mlogloss:0.702800+0.012619
## [7] train-mlogloss:0.231443+0.002490 test-mlogloss:0.723303+0.016353
## [8] train-mlogloss:0.210744+0.002593 test-mlogloss:0.740711+0.016615
## [9] train-mlogloss:0.192849+0.001504 test-mlogloss:0.757421+0.017745
## [10] train-mlogloss:0.177761+0.002027 test-mlogloss:0.767801+0.021198
## [11] train-mlogloss:0.163691+0.001689 test-mlogloss:0.781219+0.019748
## [12] train-mlogloss:0.151529+0.001477 test-mlogloss:0.795413+0.021260
## [13] train-mlogloss:0.140608+0.000965 test-mlogloss:0.805996+0.018936
## [14] train-mlogloss:0.130444+0.001307 test-mlogloss:0.812990+0.021404
## [15] train-mlogloss:0.122174+0.001393 test-mlogloss:0.822889+0.023808
## [16] train-mlogloss:0.115265+0.001002 test-mlogloss:0.830048+0.023979
## [17] train-mlogloss:0.108309+0.001131 test-mlogloss:0.835779+0.025666
## [18] train-mlogloss:0.102296+0.001220 test-mlogloss:0.849776+0.028555
## [19] train-mlogloss:0.097279+0.001441 test-mlogloss:0.857263+0.027200
## [20] train-mlogloss:0.092052+0.001138 test-mlogloss:0.861556+0.025629
## [21] train-mlogloss:0.087148+0.001365 test-mlogloss:0.866783+0.025840
## [22] train-mlogloss:0.082796+0.001260 test-mlogloss:0.872910+0.025882
## [23] train-mlogloss:0.079334+0.001031 test-mlogloss:0.875148+0.029599
## [24] train-mlogloss:0.075827+0.000947 test-mlogloss:0.878523+0.028666
## [25] train-mlogloss:0.072767+0.001179 test-mlogloss:0.886564+0.028508
## [26] train-mlogloss:0.069769+0.001001 test-mlogloss:0.892446+0.026275
## [27] train-mlogloss:0.067002+0.001007 test-mlogloss:0.896098+0.028476
## [28] train-mlogloss:0.064623+0.000951 test-mlogloss:0.901518+0.028197
## [29] train-mlogloss:0.062355+0.000913 test-mlogloss:0.905576+0.029212
## [30] train-mlogloss:0.060122+0.001097 test-mlogloss:0.908050+0.029353
## [31] train-mlogloss:0.058122+0.000974 test-mlogloss:0.911806+0.026202
## [32] train-mlogloss:0.056277+0.000883 test-mlogloss:0.914497+0.026535
## [33] train-mlogloss:0.054563+0.000738 test-mlogloss:0.919667+0.028110
## [34] train-mlogloss:0.053114+0.000596 test-mlogloss:0.920979+0.027901
## [35] train-mlogloss:0.051627+0.000712 test-mlogloss:0.923130+0.029392
## [36] train-mlogloss:0.050231+0.000851 test-mlogloss:0.927274+0.028338
## [37] train-mlogloss:0.048851+0.000878 test-mlogloss:0.928931+0.026419
## [38] train-mlogloss:0.047653+0.000854 test-mlogloss:0.930021+0.027311
## [39] train-mlogloss:0.046532+0.000757 test-mlogloss:0.933555+0.028419
## [40] train-mlogloss:0.045235+0.000724 test-mlogloss:0.937767+0.028758
## [41] train-mlogloss:0.044213+0.000709 test-mlogloss:0.940525+0.029120
## [42] train-mlogloss:0.043199+0.000636 test-mlogloss:0.943776+0.029645
## [43] train-mlogloss:0.042107+0.000725 test-mlogloss:0.946539+0.029718
## [44] train-mlogloss:0.041180+0.000722 test-mlogloss:0.949107+0.032239
## [45] train-mlogloss:0.040408+0.000569 test-mlogloss:0.951101+0.033670
## [46] train-mlogloss:0.039562+0.000536 test-mlogloss:0.953318+0.034760
## [47] train-mlogloss:0.038708+0.000555 test-mlogloss:0.956223+0.035478
## [48] train-mlogloss:0.037873+0.000462 test-mlogloss:0.958071+0.036207
## [49] train-mlogloss:0.037198+0.000409 test-mlogloss:0.960365+0.034874
## [50] train-mlogloss:0.036483+0.000378 test-mlogloss:0.962728+0.033685
## [51] train-mlogloss:0.035832+0.000412 test-mlogloss:0.964938+0.035163
## [52] train-mlogloss:0.035171+0.000436 test-mlogloss:0.968342+0.032958
## [53] train-mlogloss:0.034616+0.000449 test-mlogloss:0.970498+0.034341
## [54] train-mlogloss:0.034018+0.000391 test-mlogloss:0.971794+0.034407
## [55] train-mlogloss:0.033439+0.000378 test-mlogloss:0.974447+0.035469
## [56] train-mlogloss:0.032961+0.000351 test-mlogloss:0.975826+0.036471
## [57] train-mlogloss:0.032437+0.000333 test-mlogloss:0.979512+0.036673
## [58] train-mlogloss:0.031927+0.000304 test-mlogloss:0.983033+0.038607
## [59] train-mlogloss:0.031377+0.000302 test-mlogloss:0.985652+0.037819
## [60] train-mlogloss:0.030909+0.000271 test-mlogloss:0.988777+0.037208
## [61] train-mlogloss:0.030499+0.000294 test-mlogloss:0.991383+0.036374
## [62] train-mlogloss:0.030035+0.000302 test-mlogloss:0.992619+0.035705
## [63] train-mlogloss:0.029638+0.000282 test-mlogloss:0.994439+0.037750
## [64] train-mlogloss:0.029285+0.000307 test-mlogloss:0.996109+0.039092
## [65] train-mlogloss:0.028905+0.000349 test-mlogloss:0.997019+0.038208
## [66] train-mlogloss:0.028547+0.000381 test-mlogloss:1.000256+0.039167
## [67] train-mlogloss:0.028122+0.000348 test-mlogloss:1.000153+0.041218
## [68] train-mlogloss:0.027784+0.000335 test-mlogloss:1.001516+0.041439
## [69] train-mlogloss:0.027429+0.000342 test-mlogloss:1.002452+0.043763
## [70] train-mlogloss:0.027109+0.000351 test-mlogloss:1.002675+0.042838
## [71] train-mlogloss:0.026803+0.000360 test-mlogloss:1.004844+0.042807
## [72] train-mlogloss:0.026523+0.000287 test-mlogloss:1.007771+0.043980
## [73] train-mlogloss:0.026243+0.000312 test-mlogloss:1.010764+0.045637
## [74] train-mlogloss:0.025902+0.000343 test-mlogloss:1.013431+0.045341
## [75] train-mlogloss:0.025664+0.000349 test-mlogloss:1.014017+0.045389
## [76] train-mlogloss:0.025393+0.000378 test-mlogloss:1.015591+0.044695
## [77] train-mlogloss:0.025117+0.000374 test-mlogloss:1.016749+0.044280
## [78] train-mlogloss:0.024811+0.000331 test-mlogloss:1.017089+0.043654
## [79] train-mlogloss:0.024568+0.000327 test-mlogloss:1.018765+0.044577
## [80] train-mlogloss:0.024311+0.000351 test-mlogloss:1.020269+0.042899
## [81] train-mlogloss:0.024048+0.000324 test-mlogloss:1.022626+0.042523
## [82] train-mlogloss:0.023819+0.000332 test-mlogloss:1.025185+0.044742
## [83] train-mlogloss:0.023570+0.000334 test-mlogloss:1.026560+0.046994
## [84] train-mlogloss:0.023342+0.000322 test-mlogloss:1.027797+0.046678
## [85] train-mlogloss:0.023117+0.000301 test-mlogloss:1.027948+0.046053
## [86] train-mlogloss:0.022936+0.000283 test-mlogloss:1.030267+0.045068
## [87] train-mlogloss:0.022732+0.000290 test-mlogloss:1.032350+0.046901
## [88] train-mlogloss:0.022486+0.000282 test-mlogloss:1.033176+0.046969
## [89] train-mlogloss:0.022285+0.000278 test-mlogloss:1.034775+0.045664
## [90] train-mlogloss:0.022110+0.000301 test-mlogloss:1.036876+0.047323
## [91] train-mlogloss:0.021891+0.000307 test-mlogloss:1.039010+0.047575
## [92] train-mlogloss:0.021721+0.000293 test-mlogloss:1.039728+0.047681
## [93] train-mlogloss:0.021555+0.000303 test-mlogloss:1.042470+0.047724
## [94] train-mlogloss:0.021392+0.000277 test-mlogloss:1.042360+0.046131
## [95] train-mlogloss:0.021206+0.000272 test-mlogloss:1.041863+0.045781
## [96] train-mlogloss:0.021027+0.000246 test-mlogloss:1.044465+0.045491
## [97] train-mlogloss:0.020841+0.000257 test-mlogloss:1.045803+0.045966
## [98] train-mlogloss:0.020654+0.000209 test-mlogloss:1.048200+0.048173
## [99] train-mlogloss:0.020493+0.000197 test-mlogloss:1.049421+0.047806
## [100] train-mlogloss:0.020327+0.000190 test-mlogloss:1.049988+0.048236
## [101] train-mlogloss:0.020173+0.000178 test-mlogloss:1.049967+0.049433
## [102] train-mlogloss:0.020004+0.000182 test-mlogloss:1.051260+0.048584
## [103] train-mlogloss:0.019844+0.000195 test-mlogloss:1.054586+0.047910
## [104] train-mlogloss:0.019692+0.000211 test-mlogloss:1.056593+0.047392
## [105] train-mlogloss:0.019566+0.000222 test-mlogloss:1.058292+0.048095
## [106] train-mlogloss:0.019413+0.000229 test-mlogloss:1.057910+0.047314
## [107] train-mlogloss:0.019290+0.000247 test-mlogloss:1.058707+0.047791
## [108] train-mlogloss:0.019168+0.000236 test-mlogloss:1.059366+0.048298
## [109] train-mlogloss:0.019012+0.000241 test-mlogloss:1.060941+0.049737
## [110] train-mlogloss:0.018861+0.000232 test-mlogloss:1.061113+0.048030
## [111] train-mlogloss:0.018739+0.000233 test-mlogloss:1.061596+0.047919
## [112] train-mlogloss:0.018611+0.000230 test-mlogloss:1.061421+0.048311
## [113] train-mlogloss:0.018506+0.000214 test-mlogloss:1.062465+0.049117
## [114] train-mlogloss:0.018384+0.000218 test-mlogloss:1.063806+0.047787
## [115] train-mlogloss:0.018284+0.000204 test-mlogloss:1.066635+0.047724
## [116] train-mlogloss:0.018171+0.000211 test-mlogloss:1.066205+0.049173
## [117] train-mlogloss:0.018060+0.000198 test-mlogloss:1.066321+0.048382
## [118] train-mlogloss:0.017938+0.000219 test-mlogloss:1.067495+0.049551
## [119] train-mlogloss:0.017825+0.000202 test-mlogloss:1.068779+0.049284
## [120] train-mlogloss:0.017723+0.000190 test-mlogloss:1.069932+0.048874
## [121] train-mlogloss:0.017610+0.000200 test-mlogloss:1.071014+0.050129
## [122] train-mlogloss:0.017486+0.000196 test-mlogloss:1.071254+0.049788
## [123] train-mlogloss:0.017372+0.000197 test-mlogloss:1.071832+0.049602
## [124] train-mlogloss:0.017276+0.000204 test-mlogloss:1.071908+0.048784
## [125] train-mlogloss:0.017179+0.000201 test-mlogloss:1.073656+0.048718
## [126] train-mlogloss:0.017102+0.000202 test-mlogloss:1.074326+0.046911
## [127] train-mlogloss:0.016994+0.000205 test-mlogloss:1.075458+0.047061
## [128] train-mlogloss:0.016894+0.000220 test-mlogloss:1.077105+0.047925
## [129] train-mlogloss:0.016799+0.000212 test-mlogloss:1.076837+0.046711
## [130] train-mlogloss:0.016711+0.000229 test-mlogloss:1.078459+0.046175
## [131] train-mlogloss:0.016630+0.000212 test-mlogloss:1.079784+0.046631
## [132] train-mlogloss:0.016536+0.000212 test-mlogloss:1.080497+0.047274
## [133] train-mlogloss:0.016456+0.000221 test-mlogloss:1.081371+0.048692
## [134] train-mlogloss:0.016354+0.000213 test-mlogloss:1.083713+0.049106
## [135] train-mlogloss:0.016262+0.000213 test-mlogloss:1.083050+0.048536
## [136] train-mlogloss:0.016165+0.000208 test-mlogloss:1.084922+0.049361
## [137] train-mlogloss:0.016075+0.000208 test-mlogloss:1.086037+0.050189
## [138] train-mlogloss:0.015980+0.000207 test-mlogloss:1.086659+0.050000
## [139] train-mlogloss:0.015898+0.000212 test-mlogloss:1.088039+0.050134
## [140] train-mlogloss:0.015817+0.000203 test-mlogloss:1.088766+0.049978
## [141] train-mlogloss:0.015736+0.000195 test-mlogloss:1.088930+0.048948
## [142] train-mlogloss:0.015664+0.000199 test-mlogloss:1.088244+0.049909
## [143] train-mlogloss:0.015578+0.000195 test-mlogloss:1.089053+0.050673
## [144] train-mlogloss:0.015497+0.000206 test-mlogloss:1.090309+0.051325
## [145] train-mlogloss:0.015428+0.000203 test-mlogloss:1.090544+0.052401
## [146] train-mlogloss:0.015368+0.000194 test-mlogloss:1.091690+0.051989
## [147] train-mlogloss:0.015291+0.000196 test-mlogloss:1.092760+0.051553
## [148] train-mlogloss:0.015231+0.000198 test-mlogloss:1.091974+0.052466
## [149] train-mlogloss:0.015157+0.000210 test-mlogloss:1.093906+0.052737
## [150] train-mlogloss:0.015069+0.000193 test-mlogloss:1.094055+0.052771
## [151] train-mlogloss:0.014984+0.000194 test-mlogloss:1.095370+0.053366
## [152] train-mlogloss:0.014912+0.000201 test-mlogloss:1.094779+0.053033
## [153] train-mlogloss:0.014832+0.000202 test-mlogloss:1.096187+0.053406
## [154] train-mlogloss:0.014757+0.000185 test-mlogloss:1.096928+0.053909
## [155] train-mlogloss:0.014689+0.000182 test-mlogloss:1.097187+0.054103
## [156] train-mlogloss:0.014631+0.000175 test-mlogloss:1.098223+0.055330
## [157] train-mlogloss:0.014577+0.000174 test-mlogloss:1.098127+0.054182
## [158] train-mlogloss:0.014517+0.000183 test-mlogloss:1.097998+0.054462
## [159] train-mlogloss:0.014452+0.000182 test-mlogloss:1.098709+0.054157
## [160] train-mlogloss:0.014382+0.000186 test-mlogloss:1.100237+0.053150
## [161] train-mlogloss:0.014334+0.000199 test-mlogloss:1.100652+0.053378
## [162] train-mlogloss:0.014256+0.000191 test-mlogloss:1.102815+0.055022
## [163] train-mlogloss:0.014202+0.000188 test-mlogloss:1.101933+0.054151
## [164] train-mlogloss:0.014142+0.000183 test-mlogloss:1.100583+0.053454
## [165] train-mlogloss:0.014073+0.000175 test-mlogloss:1.100591+0.053798
## [166] train-mlogloss:0.014015+0.000187 test-mlogloss:1.103047+0.054693
## [167] train-mlogloss:0.013963+0.000180 test-mlogloss:1.103825+0.053463
## [168] train-mlogloss:0.013893+0.000174 test-mlogloss:1.104297+0.053940
## [169] train-mlogloss:0.013855+0.000176 test-mlogloss:1.103173+0.054404
## [170] train-mlogloss:0.013799+0.000178 test-mlogloss:1.104112+0.053258
## [171] train-mlogloss:0.013738+0.000189 test-mlogloss:1.105349+0.053187
## [172] train-mlogloss:0.013698+0.000184 test-mlogloss:1.105509+0.053624
## [173] train-mlogloss:0.013639+0.000177 test-mlogloss:1.106836+0.054516
## [174] train-mlogloss:0.013599+0.000176 test-mlogloss:1.107130+0.054358
## [175] train-mlogloss:0.013537+0.000167 test-mlogloss:1.107851+0.055306
## [176] train-mlogloss:0.013486+0.000160 test-mlogloss:1.108544+0.054166
## [177] train-mlogloss:0.013439+0.000165 test-mlogloss:1.109591+0.054101
## [178] train-mlogloss:0.013380+0.000164 test-mlogloss:1.109904+0.053867
## [179] train-mlogloss:0.013325+0.000167 test-mlogloss:1.110222+0.054190
## [180] train-mlogloss:0.013270+0.000172 test-mlogloss:1.110840+0.054073
## [181] train-mlogloss:0.013218+0.000170 test-mlogloss:1.110929+0.053840
## [182] train-mlogloss:0.013163+0.000176 test-mlogloss:1.111557+0.055687
## [183] train-mlogloss:0.013110+0.000168 test-mlogloss:1.111490+0.055877
## [184] train-mlogloss:0.013059+0.000169 test-mlogloss:1.112898+0.056444
## [185] train-mlogloss:0.013018+0.000172 test-mlogloss:1.114051+0.055870
## [186] train-mlogloss:0.012958+0.000164 test-mlogloss:1.114386+0.055490
## [187] train-mlogloss:0.012913+0.000160 test-mlogloss:1.114913+0.056275
## [188] train-mlogloss:0.012868+0.000159 test-mlogloss:1.114527+0.056636
## [189] train-mlogloss:0.012805+0.000151 test-mlogloss:1.114554+0.057568
## [190] train-mlogloss:0.012764+0.000157 test-mlogloss:1.114443+0.057829
## [191] train-mlogloss:0.012712+0.000154 test-mlogloss:1.114034+0.057015
## [192] train-mlogloss:0.012675+0.000147 test-mlogloss:1.115953+0.056880
## [193] train-mlogloss:0.012629+0.000145 test-mlogloss:1.115541+0.057143
## [194] train-mlogloss:0.012597+0.000141 test-mlogloss:1.116005+0.056600
## [195] train-mlogloss:0.012557+0.000140 test-mlogloss:1.116996+0.058116
## [196] train-mlogloss:0.012515+0.000145 test-mlogloss:1.117386+0.058825
## [197] train-mlogloss:0.012474+0.000134 test-mlogloss:1.117103+0.057891
## [198] train-mlogloss:0.012432+0.000131 test-mlogloss:1.118264+0.058143
## [199] train-mlogloss:0.012387+0.000140 test-mlogloss:1.119332+0.058592
## [200] train-mlogloss:0.012346+0.000132 test-mlogloss:1.119276+0.057457
## [201] train-mlogloss:0.012310+0.000128 test-mlogloss:1.119522+0.056301
## [202] train-mlogloss:0.012268+0.000123 test-mlogloss:1.120586+0.056157
## [203] train-mlogloss:0.012225+0.000129 test-mlogloss:1.121512+0.057296
## [204] train-mlogloss:0.012193+0.000126 test-mlogloss:1.121919+0.056342
## [205] train-mlogloss:0.012150+0.000126 test-mlogloss:1.122571+0.057069
## [206] train-mlogloss:0.012103+0.000125 test-mlogloss:1.124114+0.056778
## [207] train-mlogloss:0.012058+0.000123 test-mlogloss:1.123174+0.055987
## [208] train-mlogloss:0.012025+0.000131 test-mlogloss:1.124026+0.056212
## [209] train-mlogloss:0.011989+0.000135 test-mlogloss:1.125364+0.056497
## [210] train-mlogloss:0.011955+0.000135 test-mlogloss:1.125687+0.056700
## [211] train-mlogloss:0.011922+0.000134 test-mlogloss:1.126390+0.056217
## [212] train-mlogloss:0.011884+0.000135 test-mlogloss:1.126572+0.055760
## [213] train-mlogloss:0.011838+0.000134 test-mlogloss:1.126336+0.055140
## [214] train-mlogloss:0.011801+0.000132 test-mlogloss:1.126743+0.055372
## [215] train-mlogloss:0.011761+0.000131 test-mlogloss:1.126785+0.054434
## [216] train-mlogloss:0.011730+0.000131 test-mlogloss:1.126918+0.055104
## [217] train-mlogloss:0.011693+0.000132 test-mlogloss:1.127747+0.055174
## [218] train-mlogloss:0.011671+0.000123 test-mlogloss:1.128861+0.054867
## [219] train-mlogloss:0.011638+0.000119 test-mlogloss:1.130428+0.054761
## [220] train-mlogloss:0.011609+0.000116 test-mlogloss:1.130513+0.054378
## [221] train-mlogloss:0.011583+0.000114 test-mlogloss:1.130840+0.054438
## [222] train-mlogloss:0.011549+0.000113 test-mlogloss:1.130477+0.055125
## [223] train-mlogloss:0.011514+0.000107 test-mlogloss:1.131219+0.055223
## [224] train-mlogloss:0.011481+0.000110 test-mlogloss:1.131424+0.055322
## [225] train-mlogloss:0.011444+0.000109 test-mlogloss:1.131408+0.054618
## [226] train-mlogloss:0.011410+0.000117 test-mlogloss:1.131832+0.053843
## [227] train-mlogloss:0.011376+0.000122 test-mlogloss:1.132840+0.054652
## [228] train-mlogloss:0.011349+0.000121 test-mlogloss:1.133803+0.053745
## [229] train-mlogloss:0.011322+0.000122 test-mlogloss:1.133209+0.054372
## [230] train-mlogloss:0.011290+0.000126 test-mlogloss:1.133671+0.057022
## [231] train-mlogloss:0.011265+0.000128 test-mlogloss:1.133383+0.056366
## [232] train-mlogloss:0.011225+0.000125 test-mlogloss:1.133299+0.057808
## [233] train-mlogloss:0.011198+0.000121 test-mlogloss:1.134974+0.059294
## [234] train-mlogloss:0.011174+0.000123 test-mlogloss:1.134904+0.058205
## [235] train-mlogloss:0.011146+0.000126 test-mlogloss:1.136402+0.058637
## [236] train-mlogloss:0.011112+0.000125 test-mlogloss:1.135877+0.058888
## [237] train-mlogloss:0.011082+0.000129 test-mlogloss:1.135731+0.058684
## [238] train-mlogloss:0.011054+0.000129 test-mlogloss:1.136261+0.058048
## [239] train-mlogloss:0.011025+0.000131 test-mlogloss:1.137965+0.057306
## [240] train-mlogloss:0.010987+0.000131 test-mlogloss:1.138710+0.057050
## [241] train-mlogloss:0.010960+0.000135 test-mlogloss:1.139775+0.057826
## [242] train-mlogloss:0.010935+0.000129 test-mlogloss:1.138671+0.058146
## [243] train-mlogloss:0.010901+0.000121 test-mlogloss:1.138612+0.058849
## [244] train-mlogloss:0.010879+0.000122 test-mlogloss:1.138827+0.057845
## [245] train-mlogloss:0.010853+0.000127 test-mlogloss:1.139552+0.059505
## [246] train-mlogloss:0.010824+0.000128 test-mlogloss:1.139451+0.058777
## [247] train-mlogloss:0.010794+0.000129 test-mlogloss:1.140360+0.059248
## [248] train-mlogloss:0.010763+0.000126 test-mlogloss:1.141002+0.058547
## [249] train-mlogloss:0.010738+0.000132 test-mlogloss:1.142034+0.058909
## [250] train-mlogloss:0.010708+0.000134 test-mlogloss:1.142599+0.058834
## [251] train-mlogloss:0.010677+0.000127 test-mlogloss:1.141785+0.058499
## [252] train-mlogloss:0.010654+0.000124 test-mlogloss:1.142550+0.058377
## [253] train-mlogloss:0.010630+0.000125 test-mlogloss:1.143690+0.058802
## [254] train-mlogloss:0.010604+0.000125 test-mlogloss:1.145567+0.057872
## [255] train-mlogloss:0.010583+0.000132 test-mlogloss:1.146629+0.057752
## [256] train-mlogloss:0.010553+0.000135 test-mlogloss:1.148287+0.058582
## [257] train-mlogloss:0.010526+0.000132 test-mlogloss:1.149089+0.058725
## [258] train-mlogloss:0.010501+0.000132 test-mlogloss:1.149190+0.058551
## [259] train-mlogloss:0.010473+0.000136 test-mlogloss:1.148888+0.059208
## [260] train-mlogloss:0.010450+0.000135 test-mlogloss:1.148241+0.059757
## [261] train-mlogloss:0.010423+0.000131 test-mlogloss:1.149107+0.060529
## [262] train-mlogloss:0.010406+0.000135 test-mlogloss:1.149518+0.061278
## [263] train-mlogloss:0.010384+0.000133 test-mlogloss:1.149048+0.060916
## [264] train-mlogloss:0.010358+0.000137 test-mlogloss:1.150838+0.060438
## [265] train-mlogloss:0.010339+0.000130 test-mlogloss:1.151139+0.061410
## [266] train-mlogloss:0.010312+0.000126 test-mlogloss:1.152386+0.061757
## [267] train-mlogloss:0.010285+0.000129 test-mlogloss:1.151229+0.061767
## [268] train-mlogloss:0.010253+0.000127 test-mlogloss:1.151662+0.061803
## [269] train-mlogloss:0.010225+0.000127 test-mlogloss:1.151191+0.060373
## [270] train-mlogloss:0.010193+0.000124 test-mlogloss:1.151003+0.061095
## [271] train-mlogloss:0.010175+0.000120 test-mlogloss:1.151272+0.061937
## [272] train-mlogloss:0.010155+0.000115 test-mlogloss:1.152069+0.061249
## [273] train-mlogloss:0.010132+0.000112 test-mlogloss:1.153549+0.060990
## [274] train-mlogloss:0.010107+0.000111 test-mlogloss:1.153369+0.060932
## [275] train-mlogloss:0.010091+0.000125 test-mlogloss:1.153572+0.061414
## [276] train-mlogloss:0.010068+0.000127 test-mlogloss:1.152852+0.062340
## [277] train-mlogloss:0.010043+0.000129 test-mlogloss:1.152898+0.063139
## [278] train-mlogloss:0.010019+0.000129 test-mlogloss:1.154475+0.062422
## [279] train-mlogloss:0.009996+0.000128 test-mlogloss:1.153099+0.062895
## [280] train-mlogloss:0.009979+0.000126 test-mlogloss:1.154145+0.063881
## [281] train-mlogloss:0.009963+0.000124 test-mlogloss:1.153908+0.063209
## [282] train-mlogloss:0.009934+0.000125 test-mlogloss:1.152726+0.062105
## [283] train-mlogloss:0.009920+0.000118 test-mlogloss:1.154731+0.062186
## [284] train-mlogloss:0.009900+0.000114 test-mlogloss:1.153585+0.062402
## [285] train-mlogloss:0.009878+0.000117 test-mlogloss:1.154678+0.062249
## [286] train-mlogloss:0.009859+0.000123 test-mlogloss:1.155475+0.061931
## [287] train-mlogloss:0.009846+0.000116 test-mlogloss:1.156671+0.063174
## [288] train-mlogloss:0.009820+0.000123 test-mlogloss:1.156569+0.062226
## [289] train-mlogloss:0.009798+0.000118 test-mlogloss:1.157075+0.062363
## [290] train-mlogloss:0.009787+0.000114 test-mlogloss:1.158240+0.063092
## [291] train-mlogloss:0.009763+0.000123 test-mlogloss:1.157500+0.064155
## [292] train-mlogloss:0.009747+0.000117 test-mlogloss:1.158696+0.063494
## [293] train-mlogloss:0.009724+0.000119 test-mlogloss:1.158774+0.062886
## [294] train-mlogloss:0.009698+0.000119 test-mlogloss:1.158774+0.063387
## [295] train-mlogloss:0.009681+0.000110 test-mlogloss:1.159342+0.063950
## [296] train-mlogloss:0.009660+0.000106 test-mlogloss:1.159398+0.063177
## [297] train-mlogloss:0.009638+0.000112 test-mlogloss:1.159691+0.061348
## [298] train-mlogloss:0.009619+0.000104 test-mlogloss:1.160775+0.061832
## [299] train-mlogloss:0.009595+0.000101 test-mlogloss:1.160502+0.061299
## [300] train-mlogloss:0.009573+0.000098 test-mlogloss:1.161000+0.062348
## [301] train-mlogloss:0.009553+0.000098 test-mlogloss:1.160712+0.062341
## [302] train-mlogloss:0.009537+0.000103 test-mlogloss:1.160453+0.062123
## [303] train-mlogloss:0.009516+0.000102 test-mlogloss:1.159113+0.061247
## [304] train-mlogloss:0.009496+0.000099 test-mlogloss:1.161015+0.061756
## [305] train-mlogloss:0.009475+0.000102 test-mlogloss:1.161330+0.062295
## [306] train-mlogloss:0.009463+0.000099 test-mlogloss:1.160161+0.061367
## [307] train-mlogloss:0.009446+0.000097 test-mlogloss:1.161503+0.061749
## [308] train-mlogloss:0.009426+0.000100 test-mlogloss:1.161274+0.062268
## [309] train-mlogloss:0.009403+0.000101 test-mlogloss:1.161646+0.061883
## [310] train-mlogloss:0.009383+0.000103 test-mlogloss:1.162320+0.061550
## [311] train-mlogloss:0.009367+0.000094 test-mlogloss:1.162555+0.061648
## [312] train-mlogloss:0.009356+0.000094 test-mlogloss:1.164230+0.063997
## [313] train-mlogloss:0.009338+0.000093 test-mlogloss:1.164770+0.063583
## [314] train-mlogloss:0.009320+0.000092 test-mlogloss:1.164727+0.062352
## [315] train-mlogloss:0.009300+0.000092 test-mlogloss:1.166228+0.063206
## [316] train-mlogloss:0.009288+0.000089 test-mlogloss:1.166062+0.062936
## [317] train-mlogloss:0.009268+0.000085 test-mlogloss:1.166658+0.062353
## [318] train-mlogloss:0.009254+0.000085 test-mlogloss:1.166960+0.062724
## [319] train-mlogloss:0.009239+0.000085 test-mlogloss:1.167800+0.063879
## [320] train-mlogloss:0.009222+0.000090 test-mlogloss:1.168105+0.064614
## [321] train-mlogloss:0.009207+0.000096 test-mlogloss:1.168479+0.064245
## [322] train-mlogloss:0.009188+0.000091 test-mlogloss:1.168830+0.062984
## [323] train-mlogloss:0.009170+0.000087 test-mlogloss:1.168221+0.062963
## [324] train-mlogloss:0.009155+0.000088 test-mlogloss:1.167499+0.062185
## [325] train-mlogloss:0.009135+0.000090 test-mlogloss:1.169238+0.061422
## [326] train-mlogloss:0.009116+0.000091 test-mlogloss:1.168718+0.061617
## [327] train-mlogloss:0.009103+0.000090 test-mlogloss:1.170103+0.061815
## [328] train-mlogloss:0.009093+0.000085 test-mlogloss:1.171037+0.062475
## [329] train-mlogloss:0.009073+0.000083 test-mlogloss:1.169894+0.062148
## [330] train-mlogloss:0.009054+0.000083 test-mlogloss:1.170719+0.063069
## [331] train-mlogloss:0.009038+0.000085 test-mlogloss:1.170998+0.062862
## [332] train-mlogloss:0.009017+0.000084 test-mlogloss:1.170131+0.062693
## [333] train-mlogloss:0.009009+0.000083 test-mlogloss:1.171469+0.062521
## [334] train-mlogloss:0.008985+0.000085 test-mlogloss:1.172185+0.063175
## [335] train-mlogloss:0.008974+0.000089 test-mlogloss:1.172685+0.062943
## [336] train-mlogloss:0.008958+0.000088 test-mlogloss:1.173246+0.062947
## [337] train-mlogloss:0.008943+0.000093 test-mlogloss:1.174122+0.064151
## [338] train-mlogloss:0.008930+0.000092 test-mlogloss:1.174206+0.064200
## [339] train-mlogloss:0.008911+0.000093 test-mlogloss:1.174516+0.062989
## [340] train-mlogloss:0.008893+0.000094 test-mlogloss:1.174201+0.063436
## [341] train-mlogloss:0.008881+0.000092 test-mlogloss:1.174105+0.063964
## [342] train-mlogloss:0.008862+0.000091 test-mlogloss:1.174517+0.063420
## [343] train-mlogloss:0.008846+0.000094 test-mlogloss:1.175348+0.064109
## [344] train-mlogloss:0.008832+0.000091 test-mlogloss:1.174999+0.064540
## [345] train-mlogloss:0.008814+0.000088 test-mlogloss:1.174716+0.064531
## [346] train-mlogloss:0.008803+0.000090 test-mlogloss:1.173610+0.063188
## [347] train-mlogloss:0.008786+0.000088 test-mlogloss:1.174664+0.064129
## [348] train-mlogloss:0.008767+0.000087 test-mlogloss:1.175752+0.064002
## [349] train-mlogloss:0.008745+0.000089 test-mlogloss:1.175078+0.062465
## [350] train-mlogloss:0.008736+0.000089 test-mlogloss:1.175688+0.062955
## [351] train-mlogloss:0.008723+0.000092 test-mlogloss:1.175487+0.062678
## [352] train-mlogloss:0.008702+0.000084 test-mlogloss:1.176076+0.062587
## [353] train-mlogloss:0.008685+0.000087 test-mlogloss:1.177519+0.062861
## [354] train-mlogloss:0.008670+0.000088 test-mlogloss:1.178472+0.062862
## [355] train-mlogloss:0.008655+0.000089 test-mlogloss:1.178679+0.062991
## [356] train-mlogloss:0.008643+0.000093 test-mlogloss:1.179605+0.063235
## [357] train-mlogloss:0.008627+0.000098 test-mlogloss:1.179340+0.062638
## [358] train-mlogloss:0.008611+0.000098 test-mlogloss:1.180077+0.063766
## [359] train-mlogloss:0.008600+0.000097 test-mlogloss:1.180445+0.064201
## [360] train-mlogloss:0.008585+0.000096 test-mlogloss:1.180399+0.064813
## [361] train-mlogloss:0.008570+0.000101 test-mlogloss:1.180079+0.064680
## [362] train-mlogloss:0.008558+0.000099 test-mlogloss:1.181145+0.064957
## [363] train-mlogloss:0.008541+0.000099 test-mlogloss:1.181417+0.064147
## [364] train-mlogloss:0.008526+0.000094 test-mlogloss:1.181121+0.063849
## [365] train-mlogloss:0.008512+0.000099 test-mlogloss:1.180889+0.064309
## [366] train-mlogloss:0.008500+0.000099 test-mlogloss:1.182074+0.064517
## [367] train-mlogloss:0.008486+0.000094 test-mlogloss:1.182375+0.064769
## [368] train-mlogloss:0.008471+0.000092 test-mlogloss:1.181851+0.064205
## [369] train-mlogloss:0.008460+0.000093 test-mlogloss:1.182374+0.063098
## [370] train-mlogloss:0.008448+0.000089 test-mlogloss:1.183048+0.063983
## [371] train-mlogloss:0.008430+0.000089 test-mlogloss:1.183477+0.063988
## [372] train-mlogloss:0.008419+0.000091 test-mlogloss:1.183616+0.063139
## [373] train-mlogloss:0.008408+0.000087 test-mlogloss:1.184330+0.063657
## [374] train-mlogloss:0.008398+0.000090 test-mlogloss:1.183677+0.064016
## [375] train-mlogloss:0.008387+0.000092 test-mlogloss:1.183875+0.063323
## [376] train-mlogloss:0.008373+0.000090 test-mlogloss:1.183758+0.063033
## [377] train-mlogloss:0.008361+0.000087 test-mlogloss:1.183297+0.063198
## [378] train-mlogloss:0.008352+0.000088 test-mlogloss:1.183717+0.062953
## [379] train-mlogloss:0.008336+0.000086 test-mlogloss:1.184324+0.062903
## [380] train-mlogloss:0.008324+0.000085 test-mlogloss:1.184759+0.063497
## [381] train-mlogloss:0.008312+0.000083 test-mlogloss:1.184430+0.062747
## [382] train-mlogloss:0.008301+0.000082 test-mlogloss:1.185884+0.062955
## [383] train-mlogloss:0.008290+0.000084 test-mlogloss:1.186445+0.064124
## [384] train-mlogloss:0.008276+0.000087 test-mlogloss:1.185861+0.064952
## [385] train-mlogloss:0.008262+0.000086 test-mlogloss:1.185652+0.064289
## [386] train-mlogloss:0.008251+0.000084 test-mlogloss:1.187105+0.063199
## [387] train-mlogloss:0.008243+0.000082 test-mlogloss:1.186831+0.063373
## [388] train-mlogloss:0.008231+0.000082 test-mlogloss:1.186906+0.064213
## [389] train-mlogloss:0.008221+0.000078 test-mlogloss:1.188278+0.064999
## [390] train-mlogloss:0.008206+0.000078 test-mlogloss:1.189100+0.065073
## [391] train-mlogloss:0.008197+0.000077 test-mlogloss:1.190154+0.064467
## [392] train-mlogloss:0.008186+0.000080 test-mlogloss:1.190270+0.064974
## [393] train-mlogloss:0.008173+0.000079 test-mlogloss:1.190327+0.064290
## [394] train-mlogloss:0.008160+0.000084 test-mlogloss:1.189946+0.063428
## [395] train-mlogloss:0.008151+0.000082 test-mlogloss:1.190677+0.063283
## [396] train-mlogloss:0.008137+0.000086 test-mlogloss:1.189542+0.062565
## [397] train-mlogloss:0.008131+0.000085 test-mlogloss:1.190988+0.061730
## [398] train-mlogloss:0.008116+0.000087 test-mlogloss:1.190074+0.062252
## [399] train-mlogloss:0.008107+0.000089 test-mlogloss:1.191319+0.061819
## [400] train-mlogloss:0.008099+0.000090 test-mlogloss:1.192830+0.062230
## [401] train-mlogloss:0.008086+0.000090 test-mlogloss:1.191524+0.062111
## [402] train-mlogloss:0.008075+0.000088 test-mlogloss:1.190074+0.061298
## [403] train-mlogloss:0.008064+0.000090 test-mlogloss:1.190710+0.061468
## [404] train-mlogloss:0.008055+0.000088 test-mlogloss:1.190312+0.061220
## [405] train-mlogloss:0.008048+0.000086 test-mlogloss:1.190225+0.060854
## [406] train-mlogloss:0.008035+0.000085 test-mlogloss:1.189883+0.060666
## [407] train-mlogloss:0.008020+0.000082 test-mlogloss:1.190347+0.061542
## [408] train-mlogloss:0.008015+0.000080 test-mlogloss:1.189597+0.062185
## [409] train-mlogloss:0.008002+0.000080 test-mlogloss:1.189896+0.062511
## [410] train-mlogloss:0.007990+0.000080 test-mlogloss:1.190017+0.062683
## [411] train-mlogloss:0.007980+0.000078 test-mlogloss:1.191916+0.062146
## [412] train-mlogloss:0.007970+0.000078 test-mlogloss:1.191484+0.062038
## [413] train-mlogloss:0.007962+0.000080 test-mlogloss:1.191017+0.062189
## [414] train-mlogloss:0.007951+0.000081 test-mlogloss:1.192244+0.062015
## [415] train-mlogloss:0.007940+0.000080 test-mlogloss:1.192551+0.061490
## [416] train-mlogloss:0.007928+0.000084 test-mlogloss:1.192781+0.060632
## [417] train-mlogloss:0.007917+0.000082 test-mlogloss:1.192398+0.060736
## [418] train-mlogloss:0.007905+0.000086 test-mlogloss:1.193321+0.059482
## [419] train-mlogloss:0.007899+0.000083 test-mlogloss:1.193100+0.060037
## [420] train-mlogloss:0.007888+0.000088 test-mlogloss:1.193471+0.060342
## [421] train-mlogloss:0.007880+0.000092 test-mlogloss:1.193719+0.060569
## [422] train-mlogloss:0.007870+0.000094 test-mlogloss:1.194691+0.061814
## [423] train-mlogloss:0.007858+0.000088 test-mlogloss:1.195266+0.061042
## [424] train-mlogloss:0.007845+0.000088 test-mlogloss:1.195333+0.063072
## [425] train-mlogloss:0.007834+0.000088 test-mlogloss:1.196044+0.061363
## [426] train-mlogloss:0.007823+0.000088 test-mlogloss:1.195419+0.062045
## [427] train-mlogloss:0.007813+0.000091 test-mlogloss:1.195254+0.061887
## [428] train-mlogloss:0.007799+0.000087 test-mlogloss:1.195442+0.061809
## [429] train-mlogloss:0.007793+0.000089 test-mlogloss:1.196370+0.062515
## [430] train-mlogloss:0.007781+0.000084 test-mlogloss:1.196143+0.062274
## [431] train-mlogloss:0.007769+0.000085 test-mlogloss:1.196146+0.062156
## [432] train-mlogloss:0.007758+0.000084 test-mlogloss:1.196524+0.062390
## [433] train-mlogloss:0.007748+0.000081 test-mlogloss:1.196605+0.062525
## [434] train-mlogloss:0.007736+0.000083 test-mlogloss:1.196048+0.062859
## [435] train-mlogloss:0.007728+0.000085 test-mlogloss:1.196680+0.062015
## [436] train-mlogloss:0.007722+0.000091 test-mlogloss:1.197272+0.063076
## [437] train-mlogloss:0.007709+0.000090 test-mlogloss:1.196458+0.062703
## [438] train-mlogloss:0.007697+0.000089 test-mlogloss:1.196899+0.062697
## [439] train-mlogloss:0.007690+0.000089 test-mlogloss:1.197576+0.062735
## [440] train-mlogloss:0.007681+0.000087 test-mlogloss:1.198764+0.062317
## [441] train-mlogloss:0.007675+0.000086 test-mlogloss:1.198939+0.062585
## [442] train-mlogloss:0.007666+0.000088 test-mlogloss:1.199080+0.062754
## [443] train-mlogloss:0.007657+0.000088 test-mlogloss:1.198258+0.063591
## [444] train-mlogloss:0.007648+0.000087 test-mlogloss:1.199527+0.063050
## [445] train-mlogloss:0.007638+0.000089 test-mlogloss:1.199287+0.062375
## [446] train-mlogloss:0.007631+0.000087 test-mlogloss:1.199243+0.063815
## [447] train-mlogloss:0.007623+0.000086 test-mlogloss:1.198787+0.063288
## [448] train-mlogloss:0.007612+0.000088 test-mlogloss:1.198871+0.063591
## [449] train-mlogloss:0.007601+0.000091 test-mlogloss:1.199110+0.063543
## [450] train-mlogloss:0.007590+0.000092 test-mlogloss:1.199587+0.063175
## [451] train-mlogloss:0.007586+0.000090 test-mlogloss:1.200537+0.062981
## [452] train-mlogloss:0.007577+0.000088 test-mlogloss:1.199681+0.063020
## [453] train-mlogloss:0.007570+0.000085 test-mlogloss:1.200012+0.062659
## [454] train-mlogloss:0.007562+0.000087 test-mlogloss:1.199911+0.062434
## [455] train-mlogloss:0.007554+0.000088 test-mlogloss:1.200507+0.062360
## [456] train-mlogloss:0.007546+0.000089 test-mlogloss:1.201014+0.062294
## [457] train-mlogloss:0.007539+0.000089 test-mlogloss:1.201516+0.063314
## [458] train-mlogloss:0.007529+0.000088 test-mlogloss:1.201622+0.063787
## [459] train-mlogloss:0.007521+0.000088 test-mlogloss:1.201406+0.064763
## [460] train-mlogloss:0.007510+0.000090 test-mlogloss:1.202002+0.064367
## [461] train-mlogloss:0.007503+0.000087 test-mlogloss:1.201982+0.064911
## [462] train-mlogloss:0.007492+0.000086 test-mlogloss:1.202438+0.064754
## [463] train-mlogloss:0.007484+0.000082 test-mlogloss:1.203008+0.065102
## [464] train-mlogloss:0.007480+0.000084 test-mlogloss:1.203822+0.064689
## [465] train-mlogloss:0.007468+0.000084 test-mlogloss:1.204294+0.064634
## [466] train-mlogloss:0.007462+0.000084 test-mlogloss:1.203807+0.064658
## [467] train-mlogloss:0.007452+0.000084 test-mlogloss:1.203863+0.065055
## [468] train-mlogloss:0.007444+0.000079 test-mlogloss:1.204875+0.064051
## [469] train-mlogloss:0.007436+0.000081 test-mlogloss:1.204518+0.063807
## [470] train-mlogloss:0.007426+0.000079 test-mlogloss:1.204846+0.063712
## [471] train-mlogloss:0.007420+0.000079 test-mlogloss:1.205490+0.063430
## [472] train-mlogloss:0.007412+0.000079 test-mlogloss:1.205171+0.063978
## [473] train-mlogloss:0.007403+0.000079 test-mlogloss:1.205340+0.063779
## [474] train-mlogloss:0.007392+0.000078 test-mlogloss:1.206586+0.063570
## [475] train-mlogloss:0.007383+0.000076 test-mlogloss:1.206944+0.063177
## [476] train-mlogloss:0.007372+0.000073 test-mlogloss:1.208121+0.062964
## [477] train-mlogloss:0.007364+0.000078 test-mlogloss:1.208030+0.063188
## [478] train-mlogloss:0.007352+0.000077 test-mlogloss:1.208487+0.064180
## [479] train-mlogloss:0.007346+0.000077 test-mlogloss:1.209183+0.063888
## [480] train-mlogloss:0.007339+0.000078 test-mlogloss:1.208705+0.063939
## [481] train-mlogloss:0.007330+0.000075 test-mlogloss:1.209433+0.063300
## [482] train-mlogloss:0.007323+0.000073 test-mlogloss:1.210104+0.063102
## [483] train-mlogloss:0.007318+0.000074 test-mlogloss:1.210651+0.062429
## [484] train-mlogloss:0.007313+0.000075 test-mlogloss:1.211703+0.063029
## [485] train-mlogloss:0.007304+0.000075 test-mlogloss:1.212326+0.061964
## [486] train-mlogloss:0.007294+0.000073 test-mlogloss:1.211798+0.062586
## [487] train-mlogloss:0.007286+0.000076 test-mlogloss:1.212395+0.062077
## [488] train-mlogloss:0.007280+0.000077 test-mlogloss:1.212111+0.063089
## [489] train-mlogloss:0.007266+0.000073 test-mlogloss:1.213126+0.063198
## [490] train-mlogloss:0.007258+0.000070 test-mlogloss:1.212563+0.062819
## [491] train-mlogloss:0.007251+0.000070 test-mlogloss:1.212673+0.064116
## [492] train-mlogloss:0.007242+0.000068 test-mlogloss:1.212518+0.064608
## [493] train-mlogloss:0.007232+0.000066 test-mlogloss:1.212885+0.064053
## [494] train-mlogloss:0.007223+0.000069 test-mlogloss:1.213142+0.063925
## [495] train-mlogloss:0.007221+0.000070 test-mlogloss:1.214079+0.063986
## [496] train-mlogloss:0.007211+0.000069 test-mlogloss:1.212895+0.064534
## [497] train-mlogloss:0.007206+0.000068 test-mlogloss:1.213533+0.065285
## [498] train-mlogloss:0.007191+0.000069 test-mlogloss:1.213267+0.064260
## [499] train-mlogloss:0.007184+0.000068 test-mlogloss:1.213856+0.065967
## [500] train-mlogloss:0.007176+0.000066 test-mlogloss:1.213704+0.065112
## [1] train-mlogloss:0.616137+0.002264 test-mlogloss:0.623188+0.004026
## [2] train-mlogloss:0.572194+0.001765 test-mlogloss:0.584923+0.005797
## [3] train-mlogloss:0.544425+0.001590 test-mlogloss:0.563050+0.006701
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## [5] train-mlogloss:0.513525+0.001726 test-mlogloss:0.543281+0.007440
## [6] train-mlogloss:0.504633+0.001665 test-mlogloss:0.538436+0.007802
## [7] train-mlogloss:0.497816+0.001898 test-mlogloss:0.535692+0.007902
## [8] train-mlogloss:0.492172+0.002037 test-mlogloss:0.534671+0.008472
## [9] train-mlogloss:0.487955+0.001712 test-mlogloss:0.534475+0.008379
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## [12] train-mlogloss:0.478112+0.001794 test-mlogloss:0.533839+0.008052
## [13] train-mlogloss:0.475466+0.001805 test-mlogloss:0.534408+0.008197
## [14] train-mlogloss:0.472183+0.002278 test-mlogloss:0.534625+0.008241
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## [17] train-mlogloss:0.464007+0.001729 test-mlogloss:0.535791+0.008823
## [18] train-mlogloss:0.461262+0.001686 test-mlogloss:0.536242+0.008910
## [19] train-mlogloss:0.458488+0.002022 test-mlogloss:0.536943+0.008525
## [20] train-mlogloss:0.456052+0.002487 test-mlogloss:0.537506+0.008755
## [21] train-mlogloss:0.453892+0.001825 test-mlogloss:0.538109+0.008574
## [22] train-mlogloss:0.451997+0.002117 test-mlogloss:0.538838+0.008774
## [23] train-mlogloss:0.449161+0.002130 test-mlogloss:0.539254+0.008984
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## [25] train-mlogloss:0.445055+0.002434 test-mlogloss:0.540340+0.008970
## [26] train-mlogloss:0.442433+0.002733 test-mlogloss:0.540826+0.009218
## [27] train-mlogloss:0.440350+0.002619 test-mlogloss:0.541098+0.009050
## [28] train-mlogloss:0.437621+0.003040 test-mlogloss:0.541240+0.009334
## [29] train-mlogloss:0.435019+0.003473 test-mlogloss:0.541900+0.009454
## [30] train-mlogloss:0.433068+0.003542 test-mlogloss:0.542484+0.009534
## [31] train-mlogloss:0.430992+0.003417 test-mlogloss:0.543230+0.009426
## [32] train-mlogloss:0.429087+0.003203 test-mlogloss:0.543603+0.009205
## [33] train-mlogloss:0.426832+0.002752 test-mlogloss:0.544084+0.009271
## [34] train-mlogloss:0.424940+0.002952 test-mlogloss:0.544727+0.009540
## [35] train-mlogloss:0.422999+0.003239 test-mlogloss:0.545742+0.009651
## [36] train-mlogloss:0.420203+0.002939 test-mlogloss:0.545934+0.009813
## [37] train-mlogloss:0.417851+0.003090 test-mlogloss:0.546374+0.009635
## [38] train-mlogloss:0.415821+0.003047 test-mlogloss:0.546541+0.009788
## [39] train-mlogloss:0.413622+0.002247 test-mlogloss:0.546908+0.009781
## [40] train-mlogloss:0.411378+0.001969 test-mlogloss:0.547167+0.009961
## [41] train-mlogloss:0.409195+0.001706 test-mlogloss:0.547727+0.010088
## [42] train-mlogloss:0.406781+0.001624 test-mlogloss:0.548483+0.010113
## [43] train-mlogloss:0.405068+0.001954 test-mlogloss:0.548744+0.010097
## [44] train-mlogloss:0.403141+0.002400 test-mlogloss:0.549231+0.009735
## [45] train-mlogloss:0.401218+0.002497 test-mlogloss:0.549559+0.010420
## [46] train-mlogloss:0.399375+0.002741 test-mlogloss:0.550019+0.010377
## [47] train-mlogloss:0.397191+0.002140 test-mlogloss:0.550599+0.010310
## [48] train-mlogloss:0.394886+0.002049 test-mlogloss:0.550930+0.010070
## [49] train-mlogloss:0.392826+0.002232 test-mlogloss:0.551364+0.010382
## [50] train-mlogloss:0.390676+0.001899 test-mlogloss:0.551874+0.010543
## [51] train-mlogloss:0.388865+0.001912 test-mlogloss:0.552382+0.010734
## [52] train-mlogloss:0.387213+0.002259 test-mlogloss:0.553083+0.011006
## [53] train-mlogloss:0.385297+0.002289 test-mlogloss:0.553909+0.010539
## [54] train-mlogloss:0.383626+0.002686 test-mlogloss:0.554145+0.010616
## [55] train-mlogloss:0.382065+0.002760 test-mlogloss:0.554570+0.010547
## [56] train-mlogloss:0.379795+0.002765 test-mlogloss:0.555294+0.010424
## [57] train-mlogloss:0.378199+0.002662 test-mlogloss:0.555835+0.010445
## [58] train-mlogloss:0.376537+0.002693 test-mlogloss:0.556242+0.010654
## [59] train-mlogloss:0.374558+0.003321 test-mlogloss:0.556914+0.010638
## [60] train-mlogloss:0.372810+0.003330 test-mlogloss:0.557328+0.011004
## [61] train-mlogloss:0.371002+0.002968 test-mlogloss:0.557686+0.011132
## [62] train-mlogloss:0.369355+0.002997 test-mlogloss:0.558020+0.011077
## [63] train-mlogloss:0.367675+0.003280 test-mlogloss:0.558685+0.011475
## [64] train-mlogloss:0.365812+0.003328 test-mlogloss:0.558774+0.011875
## [65] train-mlogloss:0.364243+0.003325 test-mlogloss:0.559117+0.012127
## [66] train-mlogloss:0.362317+0.003106 test-mlogloss:0.559894+0.012257
## [67] train-mlogloss:0.360458+0.003000 test-mlogloss:0.560243+0.012074
## [68] train-mlogloss:0.358582+0.002831 test-mlogloss:0.561067+0.012065
## [69] train-mlogloss:0.357131+0.002970 test-mlogloss:0.561358+0.011585
## [70] train-mlogloss:0.355203+0.003017 test-mlogloss:0.561149+0.012107
## [71] train-mlogloss:0.353455+0.002797 test-mlogloss:0.561646+0.012153
## [72] train-mlogloss:0.352006+0.002712 test-mlogloss:0.562297+0.012148
## [73] train-mlogloss:0.350515+0.002920 test-mlogloss:0.562535+0.012125
## [74] train-mlogloss:0.349157+0.002754 test-mlogloss:0.563130+0.012090
## [75] train-mlogloss:0.347561+0.002833 test-mlogloss:0.563941+0.011942
## [76] train-mlogloss:0.345898+0.002609 test-mlogloss:0.564409+0.012221
## [77] train-mlogloss:0.343724+0.002412 test-mlogloss:0.565080+0.012212
## [78] train-mlogloss:0.341896+0.002215 test-mlogloss:0.565275+0.012263
## [79] train-mlogloss:0.340271+0.002116 test-mlogloss:0.565649+0.012261
## [80] train-mlogloss:0.338296+0.002120 test-mlogloss:0.566234+0.012589
## [81] train-mlogloss:0.336599+0.002213 test-mlogloss:0.566329+0.012376
## [82] train-mlogloss:0.335385+0.002226 test-mlogloss:0.566434+0.012261
## [83] train-mlogloss:0.333781+0.001940 test-mlogloss:0.566853+0.012222
## [84] train-mlogloss:0.332036+0.001769 test-mlogloss:0.567330+0.012006
## [85] train-mlogloss:0.330616+0.001825 test-mlogloss:0.567913+0.012183
## [86] train-mlogloss:0.328775+0.001797 test-mlogloss:0.568298+0.012343
## [87] train-mlogloss:0.326971+0.001982 test-mlogloss:0.568939+0.012766
## [88] train-mlogloss:0.325434+0.001862 test-mlogloss:0.569311+0.013120
## [89] train-mlogloss:0.323769+0.001833 test-mlogloss:0.570257+0.013177
## [90] train-mlogloss:0.322397+0.001712 test-mlogloss:0.570425+0.012930
## [91] train-mlogloss:0.321065+0.001537 test-mlogloss:0.570941+0.012933
## [92] train-mlogloss:0.319359+0.001702 test-mlogloss:0.571018+0.012795
## [93] train-mlogloss:0.317917+0.001811 test-mlogloss:0.571199+0.013185
## [94] train-mlogloss:0.316657+0.001952 test-mlogloss:0.571517+0.013325
## [95] train-mlogloss:0.314921+0.001762 test-mlogloss:0.571885+0.012955
## [96] train-mlogloss:0.313270+0.001452 test-mlogloss:0.572699+0.012988
## [97] train-mlogloss:0.311565+0.001271 test-mlogloss:0.573302+0.013147
## [98] train-mlogloss:0.310070+0.001112 test-mlogloss:0.573780+0.013446
## [99] train-mlogloss:0.309134+0.001161 test-mlogloss:0.574385+0.013425
## [100] train-mlogloss:0.307766+0.001330 test-mlogloss:0.574573+0.012989
## [101] train-mlogloss:0.306632+0.001320 test-mlogloss:0.575006+0.012638
## [102] train-mlogloss:0.305034+0.001163 test-mlogloss:0.575788+0.012344
## [103] train-mlogloss:0.303533+0.001180 test-mlogloss:0.576086+0.012576
## [104] train-mlogloss:0.302113+0.001073 test-mlogloss:0.576605+0.012694
## [105] train-mlogloss:0.300766+0.001104 test-mlogloss:0.576925+0.012695
## [106] train-mlogloss:0.299543+0.001138 test-mlogloss:0.577270+0.012717
## [107] train-mlogloss:0.298221+0.001262 test-mlogloss:0.577539+0.012921
## [108] train-mlogloss:0.296723+0.001304 test-mlogloss:0.578061+0.013339
## [109] train-mlogloss:0.295183+0.001443 test-mlogloss:0.578914+0.013539
## [110] train-mlogloss:0.293992+0.001463 test-mlogloss:0.579257+0.013325
## [111] train-mlogloss:0.292788+0.001475 test-mlogloss:0.579774+0.013269
## [112] train-mlogloss:0.291562+0.001581 test-mlogloss:0.579966+0.013287
## [113] train-mlogloss:0.290644+0.001626 test-mlogloss:0.580359+0.013556
## [114] train-mlogloss:0.289257+0.001544 test-mlogloss:0.581067+0.013182
## [115] train-mlogloss:0.288057+0.001492 test-mlogloss:0.581412+0.013004
## [116] train-mlogloss:0.286823+0.001359 test-mlogloss:0.581519+0.012629
## [117] train-mlogloss:0.285697+0.001472 test-mlogloss:0.581924+0.012525
## [118] train-mlogloss:0.284667+0.001550 test-mlogloss:0.582385+0.012675
## [119] train-mlogloss:0.283260+0.001465 test-mlogloss:0.583307+0.012454
## [120] train-mlogloss:0.282057+0.001751 test-mlogloss:0.583572+0.012542
## [121] train-mlogloss:0.280696+0.001647 test-mlogloss:0.583724+0.012639
## [122] train-mlogloss:0.279480+0.001441 test-mlogloss:0.584216+0.012714
## [123] train-mlogloss:0.278185+0.001556 test-mlogloss:0.584803+0.013209
## [124] train-mlogloss:0.277159+0.001602 test-mlogloss:0.585192+0.013642
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## [126] train-mlogloss:0.274801+0.001492 test-mlogloss:0.585878+0.013346
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## [128] train-mlogloss:0.272294+0.001717 test-mlogloss:0.587076+0.013667
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## [130] train-mlogloss:0.269872+0.001610 test-mlogloss:0.588209+0.013600
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## [136] train-mlogloss:0.263257+0.000910 test-mlogloss:0.591564+0.013601
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## [139] train-mlogloss:0.259694+0.000633 test-mlogloss:0.593146+0.014244
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## [150] train-mlogloss:0.247370+0.001020 test-mlogloss:0.597823+0.014728
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## [154] train-mlogloss:0.243843+0.001131 test-mlogloss:0.599542+0.014065
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## [156] train-mlogloss:0.241745+0.001344 test-mlogloss:0.600442+0.014220
## [157] train-mlogloss:0.240754+0.001120 test-mlogloss:0.601035+0.014477
## [158] train-mlogloss:0.239916+0.001238 test-mlogloss:0.601586+0.014588
## [159] train-mlogloss:0.239046+0.001328 test-mlogloss:0.602274+0.014278
## [160] train-mlogloss:0.237980+0.001495 test-mlogloss:0.602572+0.014495
## [161] train-mlogloss:0.236926+0.001582 test-mlogloss:0.602862+0.014851
## [162] train-mlogloss:0.235885+0.001305 test-mlogloss:0.603441+0.014684
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## [193] train-mlogloss:0.206774+0.001183 test-mlogloss:0.617129+0.014070
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## [195] train-mlogloss:0.205194+0.001101 test-mlogloss:0.618264+0.014259
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## [198] train-mlogloss:0.202667+0.000786 test-mlogloss:0.618821+0.013782
## [199] train-mlogloss:0.201727+0.000834 test-mlogloss:0.619210+0.013790
## [200] train-mlogloss:0.200834+0.000786 test-mlogloss:0.620158+0.013577
## [201] train-mlogloss:0.200155+0.000748 test-mlogloss:0.620673+0.013705
## [202] train-mlogloss:0.199399+0.000824 test-mlogloss:0.621420+0.013672
## [203] train-mlogloss:0.198774+0.000846 test-mlogloss:0.621750+0.013997
## [204] train-mlogloss:0.198005+0.000765 test-mlogloss:0.622331+0.013869
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## [207] train-mlogloss:0.195571+0.001269 test-mlogloss:0.623862+0.014057
## [208] train-mlogloss:0.194954+0.001302 test-mlogloss:0.624079+0.013880
## [209] train-mlogloss:0.194117+0.001262 test-mlogloss:0.624709+0.013584
## [210] train-mlogloss:0.193473+0.001304 test-mlogloss:0.625397+0.013800
## [211] train-mlogloss:0.192630+0.001430 test-mlogloss:0.625656+0.013472
## [212] train-mlogloss:0.191902+0.001451 test-mlogloss:0.625900+0.013465
## [213] train-mlogloss:0.191202+0.001407 test-mlogloss:0.626285+0.013510
## [214] train-mlogloss:0.190276+0.001238 test-mlogloss:0.626926+0.013389
## [215] train-mlogloss:0.189507+0.001238 test-mlogloss:0.626953+0.013439
## [216] train-mlogloss:0.188781+0.001081 test-mlogloss:0.626988+0.013654
## [217] train-mlogloss:0.187757+0.000943 test-mlogloss:0.627640+0.013946
## [218] train-mlogloss:0.187022+0.000832 test-mlogloss:0.627980+0.013880
## [219] train-mlogloss:0.186069+0.000823 test-mlogloss:0.628310+0.013676
## [220] train-mlogloss:0.185402+0.000822 test-mlogloss:0.628663+0.013872
## [221] train-mlogloss:0.184653+0.000850 test-mlogloss:0.629299+0.013600
## [222] train-mlogloss:0.184046+0.000860 test-mlogloss:0.629427+0.013716
## [223] train-mlogloss:0.183320+0.000949 test-mlogloss:0.629774+0.013596
## [224] train-mlogloss:0.182681+0.000937 test-mlogloss:0.630414+0.013712
## [225] train-mlogloss:0.181759+0.000897 test-mlogloss:0.630953+0.014130
## [226] train-mlogloss:0.181038+0.000619 test-mlogloss:0.631433+0.013949
## [227] train-mlogloss:0.180396+0.000560 test-mlogloss:0.632207+0.013905
## [228] train-mlogloss:0.179643+0.000725 test-mlogloss:0.632519+0.013626
## [229] train-mlogloss:0.178932+0.000736 test-mlogloss:0.632867+0.013786
## [230] train-mlogloss:0.178169+0.000746 test-mlogloss:0.633475+0.013854
## [231] train-mlogloss:0.177471+0.000803 test-mlogloss:0.633843+0.013905
## [232] train-mlogloss:0.176758+0.000740 test-mlogloss:0.634441+0.013672
## [233] train-mlogloss:0.176019+0.000793 test-mlogloss:0.634703+0.013509
## [234] train-mlogloss:0.175325+0.000807 test-mlogloss:0.634933+0.013917
## [235] train-mlogloss:0.174668+0.000636 test-mlogloss:0.635455+0.014152
## [236] train-mlogloss:0.173838+0.000673 test-mlogloss:0.636008+0.014327
## [237] train-mlogloss:0.173063+0.000762 test-mlogloss:0.636363+0.014134
## [238] train-mlogloss:0.172375+0.000726 test-mlogloss:0.637170+0.014136
## [239] train-mlogloss:0.171606+0.000740 test-mlogloss:0.637726+0.014322
## [240] train-mlogloss:0.171170+0.000749 test-mlogloss:0.638459+0.014472
## [241] train-mlogloss:0.170348+0.000916 test-mlogloss:0.638971+0.014772
## [242] train-mlogloss:0.169718+0.000862 test-mlogloss:0.639271+0.014881
## [243] train-mlogloss:0.168929+0.000753 test-mlogloss:0.639830+0.015451
## [244] train-mlogloss:0.168266+0.000627 test-mlogloss:0.640169+0.015294
## [245] train-mlogloss:0.167474+0.000679 test-mlogloss:0.640867+0.015158
## [246] train-mlogloss:0.166933+0.000728 test-mlogloss:0.641143+0.015204
## [247] train-mlogloss:0.166293+0.000698 test-mlogloss:0.641625+0.015386
## [248] train-mlogloss:0.165685+0.000629 test-mlogloss:0.641982+0.015196
## [249] train-mlogloss:0.164994+0.000534 test-mlogloss:0.642540+0.014995
## [250] train-mlogloss:0.164187+0.000577 test-mlogloss:0.642632+0.014898
## [251] train-mlogloss:0.163595+0.000648 test-mlogloss:0.642952+0.014816
## [252] train-mlogloss:0.162892+0.000550 test-mlogloss:0.643474+0.014983
## [253] train-mlogloss:0.162221+0.000588 test-mlogloss:0.643999+0.015431
## [254] train-mlogloss:0.161587+0.000775 test-mlogloss:0.644199+0.015422
## [255] train-mlogloss:0.160965+0.000760 test-mlogloss:0.644480+0.015287
## [256] train-mlogloss:0.160333+0.000838 test-mlogloss:0.644704+0.015235
## [257] train-mlogloss:0.159748+0.000955 test-mlogloss:0.645215+0.015659
## [258] train-mlogloss:0.159177+0.001010 test-mlogloss:0.645569+0.015341
## [259] train-mlogloss:0.158576+0.001089 test-mlogloss:0.646355+0.015157
## [260] train-mlogloss:0.158078+0.001093 test-mlogloss:0.646904+0.014822
## [261] train-mlogloss:0.157462+0.001104 test-mlogloss:0.647231+0.014791
## [262] train-mlogloss:0.156882+0.001017 test-mlogloss:0.647708+0.014707
## [263] train-mlogloss:0.156357+0.001094 test-mlogloss:0.648164+0.014780
## [264] train-mlogloss:0.155765+0.001283 test-mlogloss:0.648492+0.014896
## [265] train-mlogloss:0.155192+0.001202 test-mlogloss:0.649026+0.014878
## [266] train-mlogloss:0.154587+0.001126 test-mlogloss:0.649425+0.014969
## [267] train-mlogloss:0.154102+0.001099 test-mlogloss:0.649569+0.014941
## [268] train-mlogloss:0.153422+0.000930 test-mlogloss:0.650289+0.014903
## [269] train-mlogloss:0.152841+0.000869 test-mlogloss:0.650698+0.014709
## [270] train-mlogloss:0.152317+0.000834 test-mlogloss:0.651222+0.014987
## [271] train-mlogloss:0.151795+0.000731 test-mlogloss:0.651828+0.014793
## [272] train-mlogloss:0.151285+0.000579 test-mlogloss:0.652185+0.014479
## [273] train-mlogloss:0.150701+0.000580 test-mlogloss:0.652270+0.014488
## [274] train-mlogloss:0.150044+0.000699 test-mlogloss:0.652586+0.014580
## [275] train-mlogloss:0.149535+0.000696 test-mlogloss:0.652957+0.014341
## [276] train-mlogloss:0.148932+0.000695 test-mlogloss:0.653469+0.014433
## [277] train-mlogloss:0.148446+0.000676 test-mlogloss:0.653779+0.014426
## [278] train-mlogloss:0.147879+0.000687 test-mlogloss:0.654412+0.014590
## [279] train-mlogloss:0.147321+0.000623 test-mlogloss:0.654932+0.014442
## [280] train-mlogloss:0.146776+0.000677 test-mlogloss:0.655358+0.014152
## [281] train-mlogloss:0.146206+0.000800 test-mlogloss:0.656242+0.014447
## [282] train-mlogloss:0.145778+0.000729 test-mlogloss:0.656882+0.014360
## [283] train-mlogloss:0.145132+0.000866 test-mlogloss:0.656952+0.014263
## [284] train-mlogloss:0.144569+0.000808 test-mlogloss:0.657949+0.014248
## [285] train-mlogloss:0.144084+0.000574 test-mlogloss:0.658515+0.014401
## [286] train-mlogloss:0.143518+0.000559 test-mlogloss:0.659087+0.014220
## [287] train-mlogloss:0.142995+0.000527 test-mlogloss:0.659387+0.014171
## [288] train-mlogloss:0.142668+0.000496 test-mlogloss:0.659732+0.014399
## [289] train-mlogloss:0.142150+0.000511 test-mlogloss:0.660223+0.014538
## [290] train-mlogloss:0.141660+0.000532 test-mlogloss:0.660344+0.014749
## [291] train-mlogloss:0.141135+0.000510 test-mlogloss:0.660366+0.014607
## [292] train-mlogloss:0.140622+0.000459 test-mlogloss:0.660740+0.014546
## [293] train-mlogloss:0.140053+0.000329 test-mlogloss:0.661531+0.014142
## [294] train-mlogloss:0.139464+0.000332 test-mlogloss:0.662208+0.014364
## [295] train-mlogloss:0.138862+0.000417 test-mlogloss:0.662806+0.014822
## [296] train-mlogloss:0.138421+0.000548 test-mlogloss:0.663198+0.015031
## [297] train-mlogloss:0.137852+0.000692 test-mlogloss:0.663695+0.014839
## [298] train-mlogloss:0.137276+0.000716 test-mlogloss:0.664685+0.015296
## [299] train-mlogloss:0.136765+0.000766 test-mlogloss:0.665235+0.015213
## [300] train-mlogloss:0.136245+0.000819 test-mlogloss:0.665671+0.015078
## [301] train-mlogloss:0.135787+0.000924 test-mlogloss:0.666412+0.015046
## [302] train-mlogloss:0.135421+0.000970 test-mlogloss:0.666589+0.015008
## [303] train-mlogloss:0.134894+0.000920 test-mlogloss:0.667117+0.014958
## [304] train-mlogloss:0.134446+0.000914 test-mlogloss:0.667588+0.015194
## [305] train-mlogloss:0.134030+0.001031 test-mlogloss:0.668012+0.014730
## [306] train-mlogloss:0.133616+0.001068 test-mlogloss:0.668389+0.014963
## [307] train-mlogloss:0.133195+0.001031 test-mlogloss:0.669197+0.015253
## [308] train-mlogloss:0.132776+0.001114 test-mlogloss:0.669514+0.015278
## [309] train-mlogloss:0.132316+0.001099 test-mlogloss:0.670249+0.014796
## [310] train-mlogloss:0.131750+0.001148 test-mlogloss:0.670690+0.014861
## [311] train-mlogloss:0.131143+0.001207 test-mlogloss:0.671003+0.014851
## [312] train-mlogloss:0.130650+0.001108 test-mlogloss:0.671405+0.014771
## [313] train-mlogloss:0.130136+0.001043 test-mlogloss:0.671759+0.014533
## [314] train-mlogloss:0.129707+0.001126 test-mlogloss:0.672230+0.014376
## [315] train-mlogloss:0.129340+0.001135 test-mlogloss:0.672689+0.014382
## [316] train-mlogloss:0.128947+0.001078 test-mlogloss:0.673295+0.014581
## [317] train-mlogloss:0.128569+0.001153 test-mlogloss:0.673796+0.014915
## [318] train-mlogloss:0.128104+0.000970 test-mlogloss:0.674356+0.014917
## [319] train-mlogloss:0.127624+0.000987 test-mlogloss:0.674913+0.014963
## [320] train-mlogloss:0.127210+0.001099 test-mlogloss:0.675495+0.015557
## [321] train-mlogloss:0.126739+0.001098 test-mlogloss:0.675762+0.015484
## [322] train-mlogloss:0.126099+0.001064 test-mlogloss:0.676491+0.015844
## [323] train-mlogloss:0.125701+0.001064 test-mlogloss:0.677046+0.015638
## [324] train-mlogloss:0.125358+0.001059 test-mlogloss:0.677371+0.015674
## [325] train-mlogloss:0.124915+0.001118 test-mlogloss:0.677614+0.015677
## [326] train-mlogloss:0.124474+0.001137 test-mlogloss:0.678187+0.015449
## [327] train-mlogloss:0.124217+0.001166 test-mlogloss:0.678656+0.015384
## [328] train-mlogloss:0.123763+0.001178 test-mlogloss:0.678677+0.015539
## [329] train-mlogloss:0.123336+0.001109 test-mlogloss:0.679066+0.015306
## [330] train-mlogloss:0.122851+0.001077 test-mlogloss:0.679482+0.015313
## [331] train-mlogloss:0.122337+0.001132 test-mlogloss:0.680454+0.015152
## [332] train-mlogloss:0.121968+0.001160 test-mlogloss:0.680859+0.015014
## [333] train-mlogloss:0.121521+0.001134 test-mlogloss:0.681362+0.014835
## [334] train-mlogloss:0.121033+0.000972 test-mlogloss:0.681561+0.014771
## [335] train-mlogloss:0.120642+0.000965 test-mlogloss:0.682228+0.014464
## [336] train-mlogloss:0.120112+0.000912 test-mlogloss:0.683046+0.014106
## [337] train-mlogloss:0.119732+0.000936 test-mlogloss:0.683891+0.014657
## [338] train-mlogloss:0.119317+0.000972 test-mlogloss:0.684398+0.014785
## [339] train-mlogloss:0.118920+0.001047 test-mlogloss:0.684802+0.014693
## [340] train-mlogloss:0.118489+0.000993 test-mlogloss:0.685054+0.014556
## [341] train-mlogloss:0.118118+0.000903 test-mlogloss:0.685495+0.014261
## [342] train-mlogloss:0.117667+0.000918 test-mlogloss:0.685912+0.014433
## [343] train-mlogloss:0.117258+0.000878 test-mlogloss:0.686163+0.014400
## [344] train-mlogloss:0.116849+0.000882 test-mlogloss:0.686788+0.014236
## [345] train-mlogloss:0.116421+0.000798 test-mlogloss:0.687119+0.014184
## [346] train-mlogloss:0.116012+0.000749 test-mlogloss:0.687952+0.014368
## [347] train-mlogloss:0.115578+0.000691 test-mlogloss:0.688382+0.014304
## [348] train-mlogloss:0.115125+0.000622 test-mlogloss:0.688737+0.014346
## [349] train-mlogloss:0.114724+0.000715 test-mlogloss:0.689099+0.014267
## [350] train-mlogloss:0.114334+0.000622 test-mlogloss:0.689381+0.014216
## [351] train-mlogloss:0.114021+0.000667 test-mlogloss:0.689973+0.014300
## [352] train-mlogloss:0.113748+0.000711 test-mlogloss:0.690482+0.014350
## [353] train-mlogloss:0.113241+0.000696 test-mlogloss:0.690964+0.014088
## [354] train-mlogloss:0.112899+0.000764 test-mlogloss:0.691055+0.014054
## [355] train-mlogloss:0.112498+0.000751 test-mlogloss:0.691694+0.014138
## [356] train-mlogloss:0.112058+0.000742 test-mlogloss:0.691831+0.014099
## [357] train-mlogloss:0.111755+0.000724 test-mlogloss:0.692202+0.014293
## [358] train-mlogloss:0.111368+0.000682 test-mlogloss:0.692436+0.014472
## [359] train-mlogloss:0.110917+0.000819 test-mlogloss:0.692922+0.014668
## [360] train-mlogloss:0.110575+0.000850 test-mlogloss:0.693484+0.014811
## [361] train-mlogloss:0.110293+0.000870 test-mlogloss:0.694005+0.014987
## [362] train-mlogloss:0.109913+0.000914 test-mlogloss:0.694215+0.015160
## [363] train-mlogloss:0.109582+0.000975 test-mlogloss:0.694789+0.015236
## [364] train-mlogloss:0.109225+0.000975 test-mlogloss:0.695156+0.015461
## [365] train-mlogloss:0.108863+0.000982 test-mlogloss:0.695532+0.015205
## [366] train-mlogloss:0.108324+0.000944 test-mlogloss:0.696334+0.015272
## [367] train-mlogloss:0.108010+0.000882 test-mlogloss:0.696697+0.015367
## [368] train-mlogloss:0.107622+0.000939 test-mlogloss:0.696924+0.015592
## [369] train-mlogloss:0.107233+0.000982 test-mlogloss:0.697401+0.015602
## [370] train-mlogloss:0.106963+0.000820 test-mlogloss:0.697722+0.015639
## [371] train-mlogloss:0.106577+0.000798 test-mlogloss:0.698613+0.015748
## [372] train-mlogloss:0.106184+0.000776 test-mlogloss:0.699138+0.015774
## [373] train-mlogloss:0.105786+0.000813 test-mlogloss:0.699391+0.015630
## [374] train-mlogloss:0.105360+0.000854 test-mlogloss:0.699605+0.015440
## [375] train-mlogloss:0.105028+0.000867 test-mlogloss:0.700052+0.015151
## [376] train-mlogloss:0.104701+0.000864 test-mlogloss:0.700517+0.015085
## [377] train-mlogloss:0.104314+0.000817 test-mlogloss:0.701025+0.014872
## [378] train-mlogloss:0.104045+0.000808 test-mlogloss:0.701311+0.015161
## [379] train-mlogloss:0.103668+0.000841 test-mlogloss:0.701607+0.015055
## [380] train-mlogloss:0.103317+0.000859 test-mlogloss:0.702146+0.015052
## [381] train-mlogloss:0.102972+0.000856 test-mlogloss:0.702381+0.015048
## [382] train-mlogloss:0.102646+0.000789 test-mlogloss:0.703013+0.015032
## [383] train-mlogloss:0.102341+0.000892 test-mlogloss:0.703309+0.014827
## [384] train-mlogloss:0.101971+0.000853 test-mlogloss:0.703857+0.015163
## [385] train-mlogloss:0.101619+0.000888 test-mlogloss:0.704127+0.015059
## [386] train-mlogloss:0.101345+0.000937 test-mlogloss:0.704201+0.015176
## [387] train-mlogloss:0.100892+0.000998 test-mlogloss:0.704869+0.015113
## [388] train-mlogloss:0.100528+0.000897 test-mlogloss:0.705588+0.014601
## [389] train-mlogloss:0.100175+0.000929 test-mlogloss:0.706170+0.014854
## [390] train-mlogloss:0.099824+0.000835 test-mlogloss:0.706413+0.014787
## [391] train-mlogloss:0.099510+0.000926 test-mlogloss:0.706791+0.014642
## [392] train-mlogloss:0.099169+0.000908 test-mlogloss:0.707554+0.014630
## [393] train-mlogloss:0.098858+0.000843 test-mlogloss:0.707961+0.014426
## [394] train-mlogloss:0.098588+0.000832 test-mlogloss:0.708480+0.014664
## [395] train-mlogloss:0.098278+0.000842 test-mlogloss:0.708618+0.014695
## [396] train-mlogloss:0.097842+0.000765 test-mlogloss:0.709497+0.014340
## [397] train-mlogloss:0.097486+0.000688 test-mlogloss:0.710082+0.014151
## [398] train-mlogloss:0.097133+0.000586 test-mlogloss:0.710432+0.014027
## [399] train-mlogloss:0.096829+0.000501 test-mlogloss:0.710569+0.014387
## [400] train-mlogloss:0.096503+0.000542 test-mlogloss:0.711212+0.014356
## [401] train-mlogloss:0.096120+0.000563 test-mlogloss:0.711272+0.014580
## [402] train-mlogloss:0.095801+0.000622 test-mlogloss:0.711651+0.014698
## [403] train-mlogloss:0.095500+0.000691 test-mlogloss:0.712270+0.014538
## [404] train-mlogloss:0.095185+0.000576 test-mlogloss:0.712718+0.014364
## [405] train-mlogloss:0.094925+0.000592 test-mlogloss:0.713081+0.014289
## [406] train-mlogloss:0.094623+0.000594 test-mlogloss:0.713495+0.014361
## [407] train-mlogloss:0.094273+0.000630 test-mlogloss:0.713565+0.014763
## [408] train-mlogloss:0.094022+0.000625 test-mlogloss:0.714313+0.014923
## [409] train-mlogloss:0.093626+0.000558 test-mlogloss:0.714787+0.015050
## [410] train-mlogloss:0.093347+0.000540 test-mlogloss:0.715137+0.015178
## [411] train-mlogloss:0.092982+0.000535 test-mlogloss:0.715624+0.015046
## [412] train-mlogloss:0.092677+0.000570 test-mlogloss:0.716102+0.014957
## [413] train-mlogloss:0.092350+0.000617 test-mlogloss:0.716456+0.015313
## [414] train-mlogloss:0.092068+0.000601 test-mlogloss:0.716728+0.015258
## [415] train-mlogloss:0.091824+0.000581 test-mlogloss:0.717223+0.015447
## [416] train-mlogloss:0.091528+0.000576 test-mlogloss:0.717654+0.015553
## [417] train-mlogloss:0.091301+0.000526 test-mlogloss:0.717937+0.015725
## [418] train-mlogloss:0.091063+0.000502 test-mlogloss:0.718239+0.015983
## [419] train-mlogloss:0.090723+0.000540 test-mlogloss:0.718570+0.015940
## [420] train-mlogloss:0.090485+0.000545 test-mlogloss:0.719034+0.015823
## [421] train-mlogloss:0.090173+0.000565 test-mlogloss:0.719513+0.015888
## [422] train-mlogloss:0.089899+0.000584 test-mlogloss:0.719825+0.015806
## [423] train-mlogloss:0.089580+0.000634 test-mlogloss:0.720115+0.015655
## [424] train-mlogloss:0.089342+0.000697 test-mlogloss:0.720381+0.015364
## [425] train-mlogloss:0.089050+0.000764 test-mlogloss:0.721071+0.015051
## [426] train-mlogloss:0.088752+0.000731 test-mlogloss:0.721452+0.014781
## [427] train-mlogloss:0.088402+0.000798 test-mlogloss:0.722044+0.015035
## [428] train-mlogloss:0.088059+0.000801 test-mlogloss:0.722040+0.014815
## [429] train-mlogloss:0.087762+0.000742 test-mlogloss:0.722735+0.015034
## [430] train-mlogloss:0.087481+0.000719 test-mlogloss:0.723085+0.015051
## [431] train-mlogloss:0.087162+0.000757 test-mlogloss:0.723515+0.015158
## [432] train-mlogloss:0.086877+0.000765 test-mlogloss:0.723951+0.015539
## [433] train-mlogloss:0.086631+0.000809 test-mlogloss:0.724233+0.015403
## [434] train-mlogloss:0.086405+0.000786 test-mlogloss:0.724510+0.015666
## [435] train-mlogloss:0.086089+0.000739 test-mlogloss:0.725145+0.015578
## [436] train-mlogloss:0.085865+0.000744 test-mlogloss:0.725654+0.015669
## [437] train-mlogloss:0.085641+0.000774 test-mlogloss:0.726028+0.015732
## [438] train-mlogloss:0.085348+0.000763 test-mlogloss:0.726496+0.015715
## [439] train-mlogloss:0.084960+0.000725 test-mlogloss:0.726923+0.016093
## [440] train-mlogloss:0.084695+0.000721 test-mlogloss:0.727273+0.016067
## [441] train-mlogloss:0.084415+0.000726 test-mlogloss:0.727726+0.015931
## [442] train-mlogloss:0.084012+0.000672 test-mlogloss:0.728370+0.015887
## [443] train-mlogloss:0.083675+0.000723 test-mlogloss:0.728959+0.015779
## [444] train-mlogloss:0.083450+0.000741 test-mlogloss:0.729285+0.015659
## [445] train-mlogloss:0.083162+0.000804 test-mlogloss:0.730046+0.015962
## [446] train-mlogloss:0.082888+0.000791 test-mlogloss:0.730507+0.016312
## [447] train-mlogloss:0.082616+0.000801 test-mlogloss:0.731080+0.016430
## [448] train-mlogloss:0.082363+0.000797 test-mlogloss:0.731184+0.016393
## [449] train-mlogloss:0.082070+0.000831 test-mlogloss:0.731703+0.016155
## [450] train-mlogloss:0.081805+0.000866 test-mlogloss:0.732070+0.016392
## [451] train-mlogloss:0.081579+0.000859 test-mlogloss:0.732655+0.016374
## [452] train-mlogloss:0.081280+0.000882 test-mlogloss:0.733179+0.016201
## [453] train-mlogloss:0.081009+0.000861 test-mlogloss:0.733751+0.016288
## [454] train-mlogloss:0.080825+0.000853 test-mlogloss:0.734368+0.016343
## [455] train-mlogloss:0.080588+0.000832 test-mlogloss:0.734768+0.016317
## [456] train-mlogloss:0.080353+0.000857 test-mlogloss:0.735066+0.016337
## [457] train-mlogloss:0.080114+0.000844 test-mlogloss:0.735527+0.016428
## [458] train-mlogloss:0.079945+0.000842 test-mlogloss:0.735640+0.016507
## [459] train-mlogloss:0.079697+0.000766 test-mlogloss:0.735823+0.016567
## [460] train-mlogloss:0.079471+0.000747 test-mlogloss:0.736273+0.016389
## [461] train-mlogloss:0.079264+0.000735 test-mlogloss:0.736561+0.016346
## [462] train-mlogloss:0.079059+0.000736 test-mlogloss:0.736722+0.016238
## [463] train-mlogloss:0.078748+0.000707 test-mlogloss:0.737156+0.016092
## [464] train-mlogloss:0.078456+0.000705 test-mlogloss:0.737838+0.016355
## [465] train-mlogloss:0.078241+0.000687 test-mlogloss:0.738227+0.016433
## [466] train-mlogloss:0.077955+0.000710 test-mlogloss:0.738544+0.016472
## [467] train-mlogloss:0.077756+0.000694 test-mlogloss:0.738683+0.016338
## [468] train-mlogloss:0.077505+0.000613 test-mlogloss:0.739075+0.016421
## [469] train-mlogloss:0.077296+0.000556 test-mlogloss:0.739297+0.016498
## [470] train-mlogloss:0.077092+0.000565 test-mlogloss:0.739606+0.016422
## [471] train-mlogloss:0.076798+0.000581 test-mlogloss:0.740057+0.016301
## [472] train-mlogloss:0.076647+0.000576 test-mlogloss:0.740653+0.016106
## [473] train-mlogloss:0.076512+0.000546 test-mlogloss:0.740754+0.016090
## [474] train-mlogloss:0.076273+0.000512 test-mlogloss:0.740831+0.016384
## [475] train-mlogloss:0.076077+0.000538 test-mlogloss:0.741291+0.016207
## [476] train-mlogloss:0.075873+0.000490 test-mlogloss:0.741729+0.016408
## [477] train-mlogloss:0.075654+0.000499 test-mlogloss:0.742201+0.016112
## [478] train-mlogloss:0.075410+0.000473 test-mlogloss:0.742321+0.016115
## [479] train-mlogloss:0.075190+0.000420 test-mlogloss:0.742963+0.016362
## [480] train-mlogloss:0.074922+0.000458 test-mlogloss:0.743528+0.016513
## [481] train-mlogloss:0.074694+0.000502 test-mlogloss:0.743885+0.016405
## [482] train-mlogloss:0.074458+0.000493 test-mlogloss:0.744360+0.016213
## [483] train-mlogloss:0.074238+0.000453 test-mlogloss:0.744843+0.016044
## [484] train-mlogloss:0.073991+0.000459 test-mlogloss:0.745119+0.015718
## [485] train-mlogloss:0.073767+0.000472 test-mlogloss:0.745402+0.015819
## [486] train-mlogloss:0.073538+0.000484 test-mlogloss:0.745404+0.015543
## [487] train-mlogloss:0.073342+0.000533 test-mlogloss:0.745509+0.015585
## [488] train-mlogloss:0.073122+0.000533 test-mlogloss:0.745992+0.015986
## [489] train-mlogloss:0.072912+0.000497 test-mlogloss:0.746252+0.016543
## [490] train-mlogloss:0.072705+0.000499 test-mlogloss:0.746503+0.016391
## [491] train-mlogloss:0.072541+0.000526 test-mlogloss:0.746702+0.016219
## [492] train-mlogloss:0.072305+0.000586 test-mlogloss:0.747136+0.016349
## [493] train-mlogloss:0.072095+0.000564 test-mlogloss:0.747337+0.016596
## [494] train-mlogloss:0.071917+0.000554 test-mlogloss:0.747840+0.016688
## [495] train-mlogloss:0.071697+0.000581 test-mlogloss:0.748410+0.016575
## [496] train-mlogloss:0.071524+0.000561 test-mlogloss:0.748766+0.016697
## [497] train-mlogloss:0.071344+0.000562 test-mlogloss:0.749475+0.016624
## [498] train-mlogloss:0.071111+0.000578 test-mlogloss:0.750108+0.016466
## [499] train-mlogloss:0.070921+0.000598 test-mlogloss:0.750696+0.016385
## [500] train-mlogloss:0.070700+0.000641 test-mlogloss:0.750981+0.016486
## [1] train-mlogloss:0.582290+0.002174 test-mlogloss:0.626450+0.002025
## [2] train-mlogloss:0.509998+0.001922 test-mlogloss:0.593602+0.003254
## [3] train-mlogloss:0.456065+0.003366 test-mlogloss:0.574559+0.004165
## [4] train-mlogloss:0.415205+0.004418 test-mlogloss:0.563689+0.005006
## [5] train-mlogloss:0.381403+0.004026 test-mlogloss:0.559352+0.005845
## [6] train-mlogloss:0.352441+0.004405 test-mlogloss:0.558921+0.008166
## [7] train-mlogloss:0.328655+0.004681 test-mlogloss:0.560209+0.007516
## [8] train-mlogloss:0.307104+0.005138 test-mlogloss:0.560766+0.010293
## [9] train-mlogloss:0.289930+0.006153 test-mlogloss:0.561518+0.010263
## [10] train-mlogloss:0.274204+0.006659 test-mlogloss:0.564179+0.010567
## [11] train-mlogloss:0.259405+0.006642 test-mlogloss:0.567232+0.010342
## [12] train-mlogloss:0.247275+0.006240 test-mlogloss:0.570539+0.010723
## [13] train-mlogloss:0.236426+0.007314 test-mlogloss:0.573133+0.011429
## [14] train-mlogloss:0.227368+0.007636 test-mlogloss:0.575989+0.011055
## [15] train-mlogloss:0.218305+0.007539 test-mlogloss:0.578179+0.011077
## [16] train-mlogloss:0.208921+0.007068 test-mlogloss:0.581086+0.011289
## [17] train-mlogloss:0.202275+0.008266 test-mlogloss:0.583816+0.011600
## [18] train-mlogloss:0.194987+0.008561 test-mlogloss:0.586001+0.012113
## [19] train-mlogloss:0.187817+0.009383 test-mlogloss:0.588741+0.012813
## [20] train-mlogloss:0.181326+0.009446 test-mlogloss:0.591117+0.013367
## [21] train-mlogloss:0.174685+0.009484 test-mlogloss:0.593397+0.013371
## [22] train-mlogloss:0.168687+0.008849 test-mlogloss:0.596589+0.014254
## [23] train-mlogloss:0.163099+0.008623 test-mlogloss:0.598844+0.015412
## [24] train-mlogloss:0.157845+0.007913 test-mlogloss:0.600518+0.015153
## [25] train-mlogloss:0.152934+0.007418 test-mlogloss:0.602224+0.015985
## [26] train-mlogloss:0.147897+0.006971 test-mlogloss:0.603877+0.015016
## [27] train-mlogloss:0.143221+0.006027 test-mlogloss:0.606236+0.014054
## [28] train-mlogloss:0.139499+0.005570 test-mlogloss:0.608651+0.014279
## [29] train-mlogloss:0.135798+0.005673 test-mlogloss:0.610973+0.014523
## [30] train-mlogloss:0.131691+0.005268 test-mlogloss:0.612803+0.014393
## [31] train-mlogloss:0.128551+0.005185 test-mlogloss:0.616013+0.014692
## [32] train-mlogloss:0.124942+0.005014 test-mlogloss:0.617547+0.014791
## [33] train-mlogloss:0.121397+0.004820 test-mlogloss:0.619723+0.015569
## [34] train-mlogloss:0.117827+0.004802 test-mlogloss:0.622767+0.016206
## [35] train-mlogloss:0.114810+0.004392 test-mlogloss:0.625794+0.016351
## [36] train-mlogloss:0.111997+0.004406 test-mlogloss:0.628246+0.016187
## [37] train-mlogloss:0.109106+0.004166 test-mlogloss:0.630394+0.017008
## [38] train-mlogloss:0.106418+0.003741 test-mlogloss:0.632479+0.016765
## [39] train-mlogloss:0.103895+0.003614 test-mlogloss:0.633826+0.016534
## [40] train-mlogloss:0.101279+0.003288 test-mlogloss:0.636034+0.016112
## [41] train-mlogloss:0.098875+0.003307 test-mlogloss:0.638800+0.016602
## [42] train-mlogloss:0.096850+0.003413 test-mlogloss:0.640073+0.016367
## [43] train-mlogloss:0.094520+0.003205 test-mlogloss:0.642313+0.016756
## [44] train-mlogloss:0.092535+0.003168 test-mlogloss:0.644921+0.016776
## [45] train-mlogloss:0.090639+0.002974 test-mlogloss:0.646579+0.016784
## [46] train-mlogloss:0.088840+0.002927 test-mlogloss:0.648909+0.017206
## [47] train-mlogloss:0.086844+0.002835 test-mlogloss:0.650186+0.017591
## [48] train-mlogloss:0.085220+0.002807 test-mlogloss:0.651626+0.017451
## [49] train-mlogloss:0.083613+0.002744 test-mlogloss:0.653205+0.017826
## [50] train-mlogloss:0.082116+0.002693 test-mlogloss:0.654728+0.017834
## [51] train-mlogloss:0.080585+0.002554 test-mlogloss:0.656694+0.018027
## [52] train-mlogloss:0.079173+0.002482 test-mlogloss:0.658649+0.017873
## [53] train-mlogloss:0.077761+0.002310 test-mlogloss:0.660393+0.018230
## [54] train-mlogloss:0.076244+0.002334 test-mlogloss:0.662283+0.018679
## [55] train-mlogloss:0.074831+0.002244 test-mlogloss:0.664142+0.018928
## [56] train-mlogloss:0.073507+0.002180 test-mlogloss:0.665806+0.019362
## [57] train-mlogloss:0.072176+0.002159 test-mlogloss:0.667185+0.020374
## [58] train-mlogloss:0.070901+0.002140 test-mlogloss:0.669061+0.020388
## [59] train-mlogloss:0.069788+0.002134 test-mlogloss:0.670860+0.021083
## [60] train-mlogloss:0.068595+0.001993 test-mlogloss:0.672760+0.021129
## [61] train-mlogloss:0.067431+0.001858 test-mlogloss:0.674184+0.020529
## [62] train-mlogloss:0.066350+0.001895 test-mlogloss:0.675955+0.020788
## [63] train-mlogloss:0.065331+0.001855 test-mlogloss:0.677656+0.020544
## [64] train-mlogloss:0.064319+0.001843 test-mlogloss:0.679296+0.020962
## [65] train-mlogloss:0.063243+0.001756 test-mlogloss:0.681536+0.021262
## [66] train-mlogloss:0.062274+0.001694 test-mlogloss:0.683052+0.021203
## [67] train-mlogloss:0.061308+0.001611 test-mlogloss:0.684977+0.021386
## [68] train-mlogloss:0.060379+0.001607 test-mlogloss:0.686876+0.021798
## [69] train-mlogloss:0.059449+0.001581 test-mlogloss:0.688488+0.022550
## [70] train-mlogloss:0.058633+0.001525 test-mlogloss:0.689977+0.022261
## [71] train-mlogloss:0.057807+0.001481 test-mlogloss:0.691694+0.023052
## [72] train-mlogloss:0.057063+0.001507 test-mlogloss:0.693001+0.023247
## [73] train-mlogloss:0.056307+0.001489 test-mlogloss:0.694278+0.022940
## [74] train-mlogloss:0.055602+0.001480 test-mlogloss:0.695310+0.023478
## [75] train-mlogloss:0.054911+0.001473 test-mlogloss:0.696521+0.023420
## [76] train-mlogloss:0.054248+0.001465 test-mlogloss:0.698245+0.023845
## [77] train-mlogloss:0.053576+0.001428 test-mlogloss:0.699120+0.023712
## [78] train-mlogloss:0.052854+0.001398 test-mlogloss:0.700550+0.023805
## [79] train-mlogloss:0.052216+0.001365 test-mlogloss:0.702601+0.024556
## [80] train-mlogloss:0.051566+0.001381 test-mlogloss:0.704245+0.024215
## [81] train-mlogloss:0.050979+0.001313 test-mlogloss:0.705831+0.023910
## [82] train-mlogloss:0.050358+0.001316 test-mlogloss:0.707603+0.024155
## [83] train-mlogloss:0.049782+0.001332 test-mlogloss:0.708977+0.024202
## [84] train-mlogloss:0.049225+0.001371 test-mlogloss:0.710284+0.024487
## [85] train-mlogloss:0.048670+0.001335 test-mlogloss:0.711401+0.024472
## [86] train-mlogloss:0.048133+0.001289 test-mlogloss:0.712746+0.025030
## [87] train-mlogloss:0.047601+0.001279 test-mlogloss:0.713661+0.025232
## [88] train-mlogloss:0.047066+0.001251 test-mlogloss:0.715163+0.025872
## [89] train-mlogloss:0.046556+0.001221 test-mlogloss:0.716466+0.026498
## [90] train-mlogloss:0.046051+0.001177 test-mlogloss:0.717898+0.026521
## [91] train-mlogloss:0.045540+0.001176 test-mlogloss:0.718962+0.026347
## [92] train-mlogloss:0.044995+0.001140 test-mlogloss:0.720224+0.026466
## [93] train-mlogloss:0.044549+0.001127 test-mlogloss:0.721575+0.026641
## [94] train-mlogloss:0.044075+0.001116 test-mlogloss:0.722461+0.026771
## [95] train-mlogloss:0.043615+0.001109 test-mlogloss:0.723784+0.027486
## [96] train-mlogloss:0.043188+0.001093 test-mlogloss:0.725128+0.027416
## [97] train-mlogloss:0.042785+0.001073 test-mlogloss:0.725973+0.027608
## [98] train-mlogloss:0.042349+0.001055 test-mlogloss:0.727558+0.028087
## [99] train-mlogloss:0.041935+0.001041 test-mlogloss:0.728845+0.028149
## [100] train-mlogloss:0.041532+0.001002 test-mlogloss:0.730023+0.028284
## [101] train-mlogloss:0.041128+0.000976 test-mlogloss:0.730782+0.028555
## [102] train-mlogloss:0.040743+0.000944 test-mlogloss:0.731927+0.028894
## [103] train-mlogloss:0.040353+0.000931 test-mlogloss:0.733308+0.029239
## [104] train-mlogloss:0.040012+0.000914 test-mlogloss:0.734337+0.029548
## [105] train-mlogloss:0.039659+0.000891 test-mlogloss:0.734989+0.029901
## [106] train-mlogloss:0.039299+0.000882 test-mlogloss:0.735601+0.030551
## [107] train-mlogloss:0.038954+0.000850 test-mlogloss:0.736138+0.030494
## [108] train-mlogloss:0.038594+0.000827 test-mlogloss:0.737167+0.030544
## [109] train-mlogloss:0.038273+0.000827 test-mlogloss:0.738405+0.030623
## [110] train-mlogloss:0.037947+0.000814 test-mlogloss:0.738998+0.030540
## [111] train-mlogloss:0.037632+0.000796 test-mlogloss:0.740540+0.030602
## [112] train-mlogloss:0.037315+0.000780 test-mlogloss:0.742137+0.030252
## [113] train-mlogloss:0.036997+0.000763 test-mlogloss:0.742857+0.030452
## [114] train-mlogloss:0.036705+0.000743 test-mlogloss:0.743939+0.030362
## [115] train-mlogloss:0.036416+0.000738 test-mlogloss:0.744798+0.030151
## [116] train-mlogloss:0.036116+0.000708 test-mlogloss:0.746078+0.029928
## [117] train-mlogloss:0.035836+0.000697 test-mlogloss:0.747495+0.030148
## [118] train-mlogloss:0.035563+0.000694 test-mlogloss:0.748426+0.030108
## [119] train-mlogloss:0.035287+0.000691 test-mlogloss:0.749511+0.030477
## [120] train-mlogloss:0.035006+0.000674 test-mlogloss:0.750288+0.030590
## [121] train-mlogloss:0.034733+0.000670 test-mlogloss:0.751305+0.030522
## [122] train-mlogloss:0.034470+0.000682 test-mlogloss:0.752103+0.031019
## [123] train-mlogloss:0.034222+0.000676 test-mlogloss:0.752810+0.031219
## [124] train-mlogloss:0.033970+0.000668 test-mlogloss:0.753892+0.031109
## [125] train-mlogloss:0.033704+0.000648 test-mlogloss:0.754814+0.031076
## [126] train-mlogloss:0.033470+0.000651 test-mlogloss:0.755414+0.030891
## [127] train-mlogloss:0.033235+0.000637 test-mlogloss:0.756560+0.031295
## [128] train-mlogloss:0.033002+0.000625 test-mlogloss:0.757722+0.031527
## [129] train-mlogloss:0.032763+0.000608 test-mlogloss:0.758829+0.031867
## [130] train-mlogloss:0.032538+0.000602 test-mlogloss:0.759671+0.032073
## [131] train-mlogloss:0.032325+0.000594 test-mlogloss:0.760220+0.032295
## [132] train-mlogloss:0.032109+0.000583 test-mlogloss:0.761103+0.032622
## [133] train-mlogloss:0.031887+0.000569 test-mlogloss:0.762099+0.032772
## [134] train-mlogloss:0.031671+0.000554 test-mlogloss:0.763420+0.032438
## [135] train-mlogloss:0.031453+0.000545 test-mlogloss:0.764189+0.032781
## [136] train-mlogloss:0.031243+0.000547 test-mlogloss:0.764661+0.033095
## [137] train-mlogloss:0.031045+0.000529 test-mlogloss:0.765294+0.032815
## [138] train-mlogloss:0.030833+0.000534 test-mlogloss:0.765994+0.032469
## [139] train-mlogloss:0.030631+0.000532 test-mlogloss:0.767166+0.032927
## [140] train-mlogloss:0.030432+0.000519 test-mlogloss:0.768216+0.032576
## [141] train-mlogloss:0.030242+0.000508 test-mlogloss:0.769120+0.032574
## [142] train-mlogloss:0.030047+0.000498 test-mlogloss:0.769977+0.032568
## [143] train-mlogloss:0.029866+0.000499 test-mlogloss:0.770633+0.032575
## [144] train-mlogloss:0.029689+0.000498 test-mlogloss:0.771563+0.032860
## [145] train-mlogloss:0.029510+0.000482 test-mlogloss:0.772523+0.032885
## [146] train-mlogloss:0.029332+0.000468 test-mlogloss:0.773243+0.032890
## [147] train-mlogloss:0.029160+0.000472 test-mlogloss:0.773789+0.032993
## [148] train-mlogloss:0.028996+0.000462 test-mlogloss:0.774489+0.033595
## [149] train-mlogloss:0.028816+0.000456 test-mlogloss:0.775139+0.033711
## [150] train-mlogloss:0.028654+0.000445 test-mlogloss:0.776247+0.033574
## [151] train-mlogloss:0.028492+0.000453 test-mlogloss:0.777258+0.033544
## [152] train-mlogloss:0.028324+0.000453 test-mlogloss:0.777601+0.033497
## [153] train-mlogloss:0.028167+0.000454 test-mlogloss:0.778397+0.033857
## [154] train-mlogloss:0.028018+0.000458 test-mlogloss:0.779211+0.033843
## [155] train-mlogloss:0.027863+0.000460 test-mlogloss:0.779688+0.033949
## [156] train-mlogloss:0.027704+0.000447 test-mlogloss:0.780674+0.034202
## [157] train-mlogloss:0.027554+0.000451 test-mlogloss:0.781691+0.034435
## [158] train-mlogloss:0.027400+0.000431 test-mlogloss:0.782671+0.034413
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## [160] train-mlogloss:0.027121+0.000432 test-mlogloss:0.784354+0.034076
## [161] train-mlogloss:0.026974+0.000433 test-mlogloss:0.785349+0.034290
## [162] train-mlogloss:0.026841+0.000428 test-mlogloss:0.785562+0.034385
## [163] train-mlogloss:0.026696+0.000428 test-mlogloss:0.786286+0.034696
## [164] train-mlogloss:0.026555+0.000425 test-mlogloss:0.786901+0.034414
## [165] train-mlogloss:0.026421+0.000415 test-mlogloss:0.787653+0.034322
## [166] train-mlogloss:0.026283+0.000413 test-mlogloss:0.787910+0.034491
## [167] train-mlogloss:0.026152+0.000409 test-mlogloss:0.788842+0.034463
## [168] train-mlogloss:0.026019+0.000394 test-mlogloss:0.789353+0.034560
## [169] train-mlogloss:0.025887+0.000383 test-mlogloss:0.790043+0.034721
## [170] train-mlogloss:0.025755+0.000377 test-mlogloss:0.790596+0.034145
## [171] train-mlogloss:0.025640+0.000369 test-mlogloss:0.791183+0.034850
## [172] train-mlogloss:0.025510+0.000371 test-mlogloss:0.791690+0.034758
## [173] train-mlogloss:0.025388+0.000362 test-mlogloss:0.792499+0.034557
## [174] train-mlogloss:0.025263+0.000358 test-mlogloss:0.793104+0.034581
## [175] train-mlogloss:0.025145+0.000362 test-mlogloss:0.793992+0.034692
## [176] train-mlogloss:0.025023+0.000364 test-mlogloss:0.794637+0.034882
## [177] train-mlogloss:0.024902+0.000358 test-mlogloss:0.795621+0.034849
## [178] train-mlogloss:0.024790+0.000354 test-mlogloss:0.796315+0.035057
## [179] train-mlogloss:0.024660+0.000348 test-mlogloss:0.796625+0.035007
## [180] train-mlogloss:0.024547+0.000341 test-mlogloss:0.797376+0.034927
## [181] train-mlogloss:0.024430+0.000330 test-mlogloss:0.798158+0.034701
## [182] train-mlogloss:0.024314+0.000322 test-mlogloss:0.799068+0.034418
## [183] train-mlogloss:0.024200+0.000318 test-mlogloss:0.799710+0.034632
## [184] train-mlogloss:0.024091+0.000316 test-mlogloss:0.799919+0.034610
## [185] train-mlogloss:0.023986+0.000306 test-mlogloss:0.800077+0.034977
## [186] train-mlogloss:0.023880+0.000305 test-mlogloss:0.800855+0.035020
## [187] train-mlogloss:0.023767+0.000307 test-mlogloss:0.801226+0.035214
## [188] train-mlogloss:0.023656+0.000313 test-mlogloss:0.801896+0.035470
## [189] train-mlogloss:0.023551+0.000312 test-mlogloss:0.802888+0.035870
## [190] train-mlogloss:0.023449+0.000312 test-mlogloss:0.803655+0.035616
## [191] train-mlogloss:0.023361+0.000311 test-mlogloss:0.804124+0.035409
## [192] train-mlogloss:0.023257+0.000309 test-mlogloss:0.804686+0.035264
## [193] train-mlogloss:0.023153+0.000307 test-mlogloss:0.805331+0.035074
## [194] train-mlogloss:0.023053+0.000306 test-mlogloss:0.805794+0.034996
## [195] train-mlogloss:0.022948+0.000309 test-mlogloss:0.806315+0.035047
## [196] train-mlogloss:0.022858+0.000308 test-mlogloss:0.807073+0.035029
## [197] train-mlogloss:0.022766+0.000301 test-mlogloss:0.807198+0.035334
## [198] train-mlogloss:0.022678+0.000307 test-mlogloss:0.808001+0.035572
## [199] train-mlogloss:0.022585+0.000295 test-mlogloss:0.808404+0.035394
## [200] train-mlogloss:0.022493+0.000294 test-mlogloss:0.809235+0.035660
## [201] train-mlogloss:0.022405+0.000291 test-mlogloss:0.809603+0.035949
## [202] train-mlogloss:0.022318+0.000282 test-mlogloss:0.810087+0.035776
## [203] train-mlogloss:0.022230+0.000286 test-mlogloss:0.811076+0.036019
## [204] train-mlogloss:0.022139+0.000280 test-mlogloss:0.811462+0.035971
## [205] train-mlogloss:0.022046+0.000278 test-mlogloss:0.812047+0.035858
## [206] train-mlogloss:0.021953+0.000277 test-mlogloss:0.812522+0.035902
## [207] train-mlogloss:0.021872+0.000272 test-mlogloss:0.813074+0.035604
## [208] train-mlogloss:0.021786+0.000269 test-mlogloss:0.813546+0.035902
## [209] train-mlogloss:0.021707+0.000265 test-mlogloss:0.814049+0.036191
## [210] train-mlogloss:0.021623+0.000268 test-mlogloss:0.814696+0.036010
## [211] train-mlogloss:0.021539+0.000264 test-mlogloss:0.815062+0.036369
## [212] train-mlogloss:0.021453+0.000263 test-mlogloss:0.815553+0.036401
## [213] train-mlogloss:0.021371+0.000263 test-mlogloss:0.816273+0.036600
## [214] train-mlogloss:0.021288+0.000266 test-mlogloss:0.816617+0.036606
## [215] train-mlogloss:0.021208+0.000267 test-mlogloss:0.817577+0.036630
## [216] train-mlogloss:0.021135+0.000260 test-mlogloss:0.817923+0.036509
## [217] train-mlogloss:0.021060+0.000253 test-mlogloss:0.818329+0.036741
## [218] train-mlogloss:0.020979+0.000252 test-mlogloss:0.819421+0.036614
## [219] train-mlogloss:0.020899+0.000258 test-mlogloss:0.819679+0.036681
## [220] train-mlogloss:0.020819+0.000263 test-mlogloss:0.820159+0.037026
## [221] train-mlogloss:0.020740+0.000259 test-mlogloss:0.821041+0.037251
## [222] train-mlogloss:0.020666+0.000261 test-mlogloss:0.821385+0.037653
## [223] train-mlogloss:0.020584+0.000261 test-mlogloss:0.822135+0.037819
## [224] train-mlogloss:0.020515+0.000261 test-mlogloss:0.822717+0.037752
## [225] train-mlogloss:0.020444+0.000260 test-mlogloss:0.823196+0.037960
## [226] train-mlogloss:0.020367+0.000259 test-mlogloss:0.823613+0.038275
## [227] train-mlogloss:0.020295+0.000257 test-mlogloss:0.824412+0.038272
## [228] train-mlogloss:0.020226+0.000260 test-mlogloss:0.824701+0.038424
## [229] train-mlogloss:0.020152+0.000256 test-mlogloss:0.825313+0.038596
## [230] train-mlogloss:0.020080+0.000249 test-mlogloss:0.825725+0.038533
## [231] train-mlogloss:0.020007+0.000249 test-mlogloss:0.826156+0.038377
## [232] train-mlogloss:0.019942+0.000254 test-mlogloss:0.826798+0.038389
## [233] train-mlogloss:0.019873+0.000247 test-mlogloss:0.827728+0.038290
## [234] train-mlogloss:0.019808+0.000246 test-mlogloss:0.828413+0.038207
## [235] train-mlogloss:0.019747+0.000249 test-mlogloss:0.829056+0.038262
## [236] train-mlogloss:0.019679+0.000254 test-mlogloss:0.829625+0.038372
## [237] train-mlogloss:0.019619+0.000251 test-mlogloss:0.829950+0.038350
## [238] train-mlogloss:0.019554+0.000251 test-mlogloss:0.830211+0.038014
## [239] train-mlogloss:0.019485+0.000249 test-mlogloss:0.830765+0.037961
## [240] train-mlogloss:0.019424+0.000247 test-mlogloss:0.830938+0.038064
## [241] train-mlogloss:0.019362+0.000246 test-mlogloss:0.831588+0.037928
## [242] train-mlogloss:0.019296+0.000248 test-mlogloss:0.832146+0.038100
## [243] train-mlogloss:0.019238+0.000243 test-mlogloss:0.832799+0.038190
## [244] train-mlogloss:0.019169+0.000248 test-mlogloss:0.833699+0.038298
## [245] train-mlogloss:0.019110+0.000245 test-mlogloss:0.834516+0.038543
## [246] train-mlogloss:0.019051+0.000241 test-mlogloss:0.834651+0.038548
## [247] train-mlogloss:0.018990+0.000242 test-mlogloss:0.835388+0.038699
## [248] train-mlogloss:0.018926+0.000238 test-mlogloss:0.835634+0.038643
## [249] train-mlogloss:0.018870+0.000232 test-mlogloss:0.836314+0.038562
## [250] train-mlogloss:0.018810+0.000233 test-mlogloss:0.836768+0.038580
## [251] train-mlogloss:0.018752+0.000235 test-mlogloss:0.837103+0.038604
## [252] train-mlogloss:0.018695+0.000232 test-mlogloss:0.837403+0.038807
## [253] train-mlogloss:0.018634+0.000226 test-mlogloss:0.837639+0.039102
## [254] train-mlogloss:0.018578+0.000222 test-mlogloss:0.838266+0.038900
## [255] train-mlogloss:0.018522+0.000223 test-mlogloss:0.838578+0.039199
## [256] train-mlogloss:0.018469+0.000224 test-mlogloss:0.839066+0.039300
## [257] train-mlogloss:0.018418+0.000223 test-mlogloss:0.839354+0.039562
## [258] train-mlogloss:0.018361+0.000222 test-mlogloss:0.840005+0.039727
## [259] train-mlogloss:0.018305+0.000222 test-mlogloss:0.840297+0.039699
## [260] train-mlogloss:0.018250+0.000222 test-mlogloss:0.840296+0.039699
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## [262] train-mlogloss:0.018142+0.000226 test-mlogloss:0.841113+0.039805
## [263] train-mlogloss:0.018090+0.000226 test-mlogloss:0.841264+0.039754
## [264] train-mlogloss:0.018038+0.000225 test-mlogloss:0.841676+0.039484
## [265] train-mlogloss:0.017987+0.000223 test-mlogloss:0.842251+0.039495
## [266] train-mlogloss:0.017934+0.000226 test-mlogloss:0.843221+0.039135
## [267] train-mlogloss:0.017883+0.000227 test-mlogloss:0.843553+0.039415
## [268] train-mlogloss:0.017834+0.000231 test-mlogloss:0.844079+0.039303
## [269] train-mlogloss:0.017782+0.000229 test-mlogloss:0.844500+0.039464
## [270] train-mlogloss:0.017731+0.000229 test-mlogloss:0.844975+0.039438
## [271] train-mlogloss:0.017684+0.000226 test-mlogloss:0.845564+0.039796
## [272] train-mlogloss:0.017640+0.000224 test-mlogloss:0.845641+0.039802
## [273] train-mlogloss:0.017589+0.000219 test-mlogloss:0.846230+0.039622
## [274] train-mlogloss:0.017542+0.000215 test-mlogloss:0.846627+0.039799
## [275] train-mlogloss:0.017492+0.000216 test-mlogloss:0.846906+0.039877
## [276] train-mlogloss:0.017443+0.000212 test-mlogloss:0.847224+0.039830
## [277] train-mlogloss:0.017395+0.000207 test-mlogloss:0.847572+0.040008
## [278] train-mlogloss:0.017350+0.000206 test-mlogloss:0.848144+0.039793
## [279] train-mlogloss:0.017303+0.000206 test-mlogloss:0.848499+0.039908
## [280] train-mlogloss:0.017259+0.000208 test-mlogloss:0.848840+0.039574
## [281] train-mlogloss:0.017215+0.000203 test-mlogloss:0.848964+0.039767
## [282] train-mlogloss:0.017167+0.000201 test-mlogloss:0.849601+0.039598
## [283] train-mlogloss:0.017122+0.000201 test-mlogloss:0.849911+0.039320
## [284] train-mlogloss:0.017075+0.000204 test-mlogloss:0.850174+0.039523
## [285] train-mlogloss:0.017027+0.000203 test-mlogloss:0.850328+0.039433
## [286] train-mlogloss:0.016983+0.000202 test-mlogloss:0.850897+0.039552
## [287] train-mlogloss:0.016935+0.000199 test-mlogloss:0.851221+0.039001
## [288] train-mlogloss:0.016884+0.000195 test-mlogloss:0.851347+0.038821
## [289] train-mlogloss:0.016843+0.000194 test-mlogloss:0.851900+0.039106
## [290] train-mlogloss:0.016806+0.000192 test-mlogloss:0.852220+0.039242
## [291] train-mlogloss:0.016763+0.000194 test-mlogloss:0.852605+0.039238
## [292] train-mlogloss:0.016720+0.000196 test-mlogloss:0.853011+0.039480
## [293] train-mlogloss:0.016675+0.000197 test-mlogloss:0.853305+0.039544
## [294] train-mlogloss:0.016635+0.000193 test-mlogloss:0.853509+0.039449
## [295] train-mlogloss:0.016593+0.000195 test-mlogloss:0.854021+0.039422
## [296] train-mlogloss:0.016552+0.000191 test-mlogloss:0.854104+0.039501
## [297] train-mlogloss:0.016509+0.000186 test-mlogloss:0.854700+0.039460
## [298] train-mlogloss:0.016469+0.000186 test-mlogloss:0.854895+0.039633
## [299] train-mlogloss:0.016428+0.000187 test-mlogloss:0.855337+0.039599
## [300] train-mlogloss:0.016384+0.000185 test-mlogloss:0.855597+0.039598
## [301] train-mlogloss:0.016344+0.000183 test-mlogloss:0.855971+0.039759
## [302] train-mlogloss:0.016304+0.000183 test-mlogloss:0.856144+0.039967
## [303] train-mlogloss:0.016264+0.000178 test-mlogloss:0.856537+0.040559
## [304] train-mlogloss:0.016223+0.000175 test-mlogloss:0.857145+0.040428
## [305] train-mlogloss:0.016184+0.000175 test-mlogloss:0.857314+0.040421
## [306] train-mlogloss:0.016145+0.000176 test-mlogloss:0.857556+0.040546
## [307] train-mlogloss:0.016108+0.000177 test-mlogloss:0.857998+0.040705
## [308] train-mlogloss:0.016069+0.000176 test-mlogloss:0.858235+0.040479
## [309] train-mlogloss:0.016032+0.000173 test-mlogloss:0.858417+0.040461
## [310] train-mlogloss:0.015993+0.000171 test-mlogloss:0.858729+0.040751
## [311] train-mlogloss:0.015956+0.000172 test-mlogloss:0.858870+0.040728
## [312] train-mlogloss:0.015916+0.000172 test-mlogloss:0.859393+0.040877
## [313] train-mlogloss:0.015876+0.000168 test-mlogloss:0.859714+0.040638
## [314] train-mlogloss:0.015834+0.000169 test-mlogloss:0.860488+0.040968
## [315] train-mlogloss:0.015797+0.000171 test-mlogloss:0.860964+0.040563
## [316] train-mlogloss:0.015758+0.000172 test-mlogloss:0.861395+0.040407
## [317] train-mlogloss:0.015723+0.000169 test-mlogloss:0.861582+0.040675
## [318] train-mlogloss:0.015687+0.000169 test-mlogloss:0.861855+0.040496
## [319] train-mlogloss:0.015649+0.000169 test-mlogloss:0.862431+0.040436
## [320] train-mlogloss:0.015611+0.000171 test-mlogloss:0.862811+0.040343
## [321] train-mlogloss:0.015573+0.000169 test-mlogloss:0.863456+0.040712
## [322] train-mlogloss:0.015536+0.000170 test-mlogloss:0.863905+0.041016
## [323] train-mlogloss:0.015500+0.000168 test-mlogloss:0.864301+0.040941
## [324] train-mlogloss:0.015464+0.000169 test-mlogloss:0.864465+0.041075
## [325] train-mlogloss:0.015429+0.000164 test-mlogloss:0.864724+0.041077
## [326] train-mlogloss:0.015392+0.000162 test-mlogloss:0.865261+0.041169
## [327] train-mlogloss:0.015356+0.000162 test-mlogloss:0.865346+0.041073
## [328] train-mlogloss:0.015323+0.000159 test-mlogloss:0.865225+0.041084
## [329] train-mlogloss:0.015288+0.000160 test-mlogloss:0.865349+0.041296
## [330] train-mlogloss:0.015254+0.000158 test-mlogloss:0.865948+0.041111
## [331] train-mlogloss:0.015217+0.000161 test-mlogloss:0.866016+0.040921
## [332] train-mlogloss:0.015183+0.000159 test-mlogloss:0.866213+0.040881
## [333] train-mlogloss:0.015152+0.000160 test-mlogloss:0.866558+0.041008
## [334] train-mlogloss:0.015119+0.000158 test-mlogloss:0.866986+0.040984
## [335] train-mlogloss:0.015084+0.000156 test-mlogloss:0.867480+0.040888
## [336] train-mlogloss:0.015053+0.000154 test-mlogloss:0.867824+0.040913
## [337] train-mlogloss:0.015021+0.000154 test-mlogloss:0.868104+0.040936
## [338] train-mlogloss:0.014987+0.000152 test-mlogloss:0.868100+0.041192
## [339] train-mlogloss:0.014955+0.000150 test-mlogloss:0.868546+0.041419
## [340] train-mlogloss:0.014922+0.000153 test-mlogloss:0.869034+0.041364
## [341] train-mlogloss:0.014890+0.000151 test-mlogloss:0.869382+0.041480
## [342] train-mlogloss:0.014856+0.000149 test-mlogloss:0.870062+0.041163
## [343] train-mlogloss:0.014824+0.000150 test-mlogloss:0.870225+0.041421
## [344] train-mlogloss:0.014792+0.000153 test-mlogloss:0.870407+0.041782
## [345] train-mlogloss:0.014761+0.000153 test-mlogloss:0.870597+0.041885
## [346] train-mlogloss:0.014729+0.000155 test-mlogloss:0.870923+0.041789
## [347] train-mlogloss:0.014698+0.000157 test-mlogloss:0.871141+0.041902
## [348] train-mlogloss:0.014668+0.000158 test-mlogloss:0.871459+0.041622
## [349] train-mlogloss:0.014635+0.000158 test-mlogloss:0.871738+0.041682
## [350] train-mlogloss:0.014606+0.000158 test-mlogloss:0.871879+0.041823
## [351] train-mlogloss:0.014574+0.000156 test-mlogloss:0.872161+0.041865
## [352] train-mlogloss:0.014544+0.000155 test-mlogloss:0.872744+0.041616
## [353] train-mlogloss:0.014512+0.000156 test-mlogloss:0.872992+0.041833
## [354] train-mlogloss:0.014484+0.000154 test-mlogloss:0.873478+0.041850
## [355] train-mlogloss:0.014453+0.000156 test-mlogloss:0.873761+0.041867
## [356] train-mlogloss:0.014425+0.000156 test-mlogloss:0.874108+0.041941
## [357] train-mlogloss:0.014393+0.000158 test-mlogloss:0.874617+0.042160
## [358] train-mlogloss:0.014364+0.000156 test-mlogloss:0.874950+0.042236
## [359] train-mlogloss:0.014335+0.000155 test-mlogloss:0.875112+0.042596
## [360] train-mlogloss:0.014308+0.000155 test-mlogloss:0.875383+0.042635
## [361] train-mlogloss:0.014278+0.000157 test-mlogloss:0.875923+0.042950
## [362] train-mlogloss:0.014247+0.000159 test-mlogloss:0.876610+0.043154
## [363] train-mlogloss:0.014219+0.000160 test-mlogloss:0.876820+0.042849
## [364] train-mlogloss:0.014189+0.000160 test-mlogloss:0.877309+0.042994
## [365] train-mlogloss:0.014162+0.000158 test-mlogloss:0.877522+0.042840
## [366] train-mlogloss:0.014134+0.000158 test-mlogloss:0.877867+0.043071
## [367] train-mlogloss:0.014106+0.000157 test-mlogloss:0.877958+0.042933
## [368] train-mlogloss:0.014079+0.000154 test-mlogloss:0.878006+0.043150
## [369] train-mlogloss:0.014052+0.000153 test-mlogloss:0.878366+0.043136
## [370] train-mlogloss:0.014026+0.000153 test-mlogloss:0.878630+0.043052
## [371] train-mlogloss:0.013999+0.000153 test-mlogloss:0.878829+0.043129
## [372] train-mlogloss:0.013972+0.000150 test-mlogloss:0.879270+0.043165
## [373] train-mlogloss:0.013946+0.000152 test-mlogloss:0.879501+0.043273
## [374] train-mlogloss:0.013922+0.000154 test-mlogloss:0.880002+0.043274
## [375] train-mlogloss:0.013894+0.000156 test-mlogloss:0.880227+0.043454
## [376] train-mlogloss:0.013868+0.000156 test-mlogloss:0.880433+0.043414
## [377] train-mlogloss:0.013844+0.000153 test-mlogloss:0.880939+0.043215
## [378] train-mlogloss:0.013818+0.000153 test-mlogloss:0.881247+0.043255
## [379] train-mlogloss:0.013792+0.000154 test-mlogloss:0.881827+0.043275
## [380] train-mlogloss:0.013767+0.000153 test-mlogloss:0.882191+0.043289
## [381] train-mlogloss:0.013741+0.000152 test-mlogloss:0.882160+0.043165
## [382] train-mlogloss:0.013714+0.000152 test-mlogloss:0.882291+0.043244
## [383] train-mlogloss:0.013688+0.000149 test-mlogloss:0.882373+0.043320
## [384] train-mlogloss:0.013662+0.000150 test-mlogloss:0.882561+0.043612
## [385] train-mlogloss:0.013637+0.000150 test-mlogloss:0.883057+0.043658
## [386] train-mlogloss:0.013614+0.000150 test-mlogloss:0.883469+0.043771
## [387] train-mlogloss:0.013589+0.000150 test-mlogloss:0.884094+0.043689
## [388] train-mlogloss:0.013563+0.000150 test-mlogloss:0.884388+0.043503
## [389] train-mlogloss:0.013539+0.000150 test-mlogloss:0.884603+0.043542
## [390] train-mlogloss:0.013514+0.000149 test-mlogloss:0.884943+0.043830
## [391] train-mlogloss:0.013489+0.000147 test-mlogloss:0.885290+0.043752
## [392] train-mlogloss:0.013464+0.000150 test-mlogloss:0.885770+0.043599
## [393] train-mlogloss:0.013438+0.000149 test-mlogloss:0.886146+0.043542
## [394] train-mlogloss:0.013414+0.000147 test-mlogloss:0.886477+0.043519
## [395] train-mlogloss:0.013389+0.000147 test-mlogloss:0.886645+0.043470
## [396] train-mlogloss:0.013365+0.000149 test-mlogloss:0.887003+0.043690
## [397] train-mlogloss:0.013342+0.000152 test-mlogloss:0.887260+0.043576
## [398] train-mlogloss:0.013318+0.000148 test-mlogloss:0.887618+0.043719
## [399] train-mlogloss:0.013294+0.000145 test-mlogloss:0.887858+0.043625
## [400] train-mlogloss:0.013269+0.000143 test-mlogloss:0.888174+0.043580
## [401] train-mlogloss:0.013246+0.000142 test-mlogloss:0.888278+0.043622
## [402] train-mlogloss:0.013221+0.000143 test-mlogloss:0.888537+0.043456
## [403] train-mlogloss:0.013198+0.000142 test-mlogloss:0.888859+0.043629
## [404] train-mlogloss:0.013174+0.000140 test-mlogloss:0.889101+0.043735
## [405] train-mlogloss:0.013152+0.000140 test-mlogloss:0.889254+0.043619
## [406] train-mlogloss:0.013131+0.000139 test-mlogloss:0.889132+0.043533
## [407] train-mlogloss:0.013108+0.000141 test-mlogloss:0.889693+0.043716
## [408] train-mlogloss:0.013085+0.000142 test-mlogloss:0.889813+0.043982
## [409] train-mlogloss:0.013064+0.000142 test-mlogloss:0.890105+0.044113
## [410] train-mlogloss:0.013041+0.000143 test-mlogloss:0.890569+0.043885
## [411] train-mlogloss:0.013018+0.000143 test-mlogloss:0.890977+0.043683
## [412] train-mlogloss:0.012997+0.000144 test-mlogloss:0.891746+0.043749
## [413] train-mlogloss:0.012975+0.000144 test-mlogloss:0.892031+0.043866
## [414] train-mlogloss:0.012955+0.000147 test-mlogloss:0.892065+0.043592
## [415] train-mlogloss:0.012934+0.000147 test-mlogloss:0.892063+0.043609
## [416] train-mlogloss:0.012913+0.000146 test-mlogloss:0.892234+0.043689
## [417] train-mlogloss:0.012892+0.000145 test-mlogloss:0.892428+0.043826
## [418] train-mlogloss:0.012870+0.000143 test-mlogloss:0.892764+0.043709
## [419] train-mlogloss:0.012848+0.000140 test-mlogloss:0.893130+0.043940
## [420] train-mlogloss:0.012827+0.000141 test-mlogloss:0.893333+0.043972
## [421] train-mlogloss:0.012805+0.000140 test-mlogloss:0.893362+0.043931
## [422] train-mlogloss:0.012783+0.000142 test-mlogloss:0.893720+0.043905
## [423] train-mlogloss:0.012762+0.000144 test-mlogloss:0.894011+0.043840
## [424] train-mlogloss:0.012742+0.000143 test-mlogloss:0.894276+0.043844
## [425] train-mlogloss:0.012723+0.000142 test-mlogloss:0.894672+0.044007
## [426] train-mlogloss:0.012701+0.000142 test-mlogloss:0.894893+0.044052
## [427] train-mlogloss:0.012682+0.000141 test-mlogloss:0.894903+0.044094
## [428] train-mlogloss:0.012660+0.000143 test-mlogloss:0.895110+0.043751
## [429] train-mlogloss:0.012640+0.000144 test-mlogloss:0.895167+0.043693
## [430] train-mlogloss:0.012618+0.000144 test-mlogloss:0.895586+0.043503
## [431] train-mlogloss:0.012597+0.000142 test-mlogloss:0.895750+0.043542
## [432] train-mlogloss:0.012578+0.000141 test-mlogloss:0.895798+0.043807
## [433] train-mlogloss:0.012559+0.000142 test-mlogloss:0.895838+0.043741
## [434] train-mlogloss:0.012539+0.000141 test-mlogloss:0.896166+0.043632
## [435] train-mlogloss:0.012518+0.000139 test-mlogloss:0.896274+0.043817
## [436] train-mlogloss:0.012497+0.000139 test-mlogloss:0.896308+0.043942
## [437] train-mlogloss:0.012477+0.000139 test-mlogloss:0.896493+0.044076
## [438] train-mlogloss:0.012458+0.000139 test-mlogloss:0.896904+0.044077
## [439] train-mlogloss:0.012438+0.000138 test-mlogloss:0.897572+0.044039
## [440] train-mlogloss:0.012420+0.000138 test-mlogloss:0.897501+0.044230
## [441] train-mlogloss:0.012401+0.000139 test-mlogloss:0.897626+0.044309
## [442] train-mlogloss:0.012381+0.000137 test-mlogloss:0.897759+0.044002
## [443] train-mlogloss:0.012362+0.000137 test-mlogloss:0.898117+0.043775
## [444] train-mlogloss:0.012344+0.000138 test-mlogloss:0.898527+0.043843
## [445] train-mlogloss:0.012324+0.000139 test-mlogloss:0.898770+0.044265
## [446] train-mlogloss:0.012305+0.000141 test-mlogloss:0.899413+0.044312
## [447] train-mlogloss:0.012286+0.000143 test-mlogloss:0.899554+0.044582
## [448] train-mlogloss:0.012268+0.000143 test-mlogloss:0.899650+0.044889
## [449] train-mlogloss:0.012253+0.000143 test-mlogloss:0.899843+0.044923
## [450] train-mlogloss:0.012234+0.000143 test-mlogloss:0.899969+0.045008
## [451] train-mlogloss:0.012213+0.000142 test-mlogloss:0.900342+0.045183
## [452] train-mlogloss:0.012195+0.000143 test-mlogloss:0.900503+0.044838
## [453] train-mlogloss:0.012176+0.000144 test-mlogloss:0.900965+0.045122
## [454] train-mlogloss:0.012157+0.000144 test-mlogloss:0.900903+0.045201
## [455] train-mlogloss:0.012139+0.000144 test-mlogloss:0.901075+0.045103
## [456] train-mlogloss:0.012119+0.000143 test-mlogloss:0.901294+0.045300
## [457] train-mlogloss:0.012100+0.000145 test-mlogloss:0.901792+0.045348
## [458] train-mlogloss:0.012082+0.000144 test-mlogloss:0.901911+0.045381
## [459] train-mlogloss:0.012067+0.000143 test-mlogloss:0.902455+0.045543
## [460] train-mlogloss:0.012050+0.000143 test-mlogloss:0.902666+0.045533
## [461] train-mlogloss:0.012030+0.000145 test-mlogloss:0.903258+0.045552
## [462] train-mlogloss:0.012012+0.000143 test-mlogloss:0.903510+0.045493
## [463] train-mlogloss:0.011996+0.000143 test-mlogloss:0.903884+0.045786
## [464] train-mlogloss:0.011977+0.000141 test-mlogloss:0.904132+0.045713
## [465] train-mlogloss:0.011960+0.000141 test-mlogloss:0.904252+0.045979
## [466] train-mlogloss:0.011942+0.000141 test-mlogloss:0.904646+0.045906
## [467] train-mlogloss:0.011925+0.000141 test-mlogloss:0.904756+0.045890
## [468] train-mlogloss:0.011906+0.000140 test-mlogloss:0.905064+0.045739
## [469] train-mlogloss:0.011887+0.000139 test-mlogloss:0.905196+0.045755
## [470] train-mlogloss:0.011869+0.000140 test-mlogloss:0.905279+0.045503
## [471] train-mlogloss:0.011850+0.000138 test-mlogloss:0.905387+0.045574
## [472] train-mlogloss:0.011834+0.000138 test-mlogloss:0.905805+0.045807
## [473] train-mlogloss:0.011816+0.000138 test-mlogloss:0.906035+0.045773
## [474] train-mlogloss:0.011799+0.000137 test-mlogloss:0.906301+0.045749
## [475] train-mlogloss:0.011781+0.000138 test-mlogloss:0.906536+0.045814
## [476] train-mlogloss:0.011764+0.000137 test-mlogloss:0.906666+0.045700
## [477] train-mlogloss:0.011748+0.000138 test-mlogloss:0.906925+0.045644
## [478] train-mlogloss:0.011730+0.000136 test-mlogloss:0.907095+0.045495
## [479] train-mlogloss:0.011714+0.000136 test-mlogloss:0.907345+0.045324
## [480] train-mlogloss:0.011696+0.000134 test-mlogloss:0.907557+0.045342
## [481] train-mlogloss:0.011680+0.000134 test-mlogloss:0.907816+0.045426
## [482] train-mlogloss:0.011663+0.000134 test-mlogloss:0.907655+0.045378
## [483] train-mlogloss:0.011646+0.000134 test-mlogloss:0.907705+0.045327
## [484] train-mlogloss:0.011631+0.000136 test-mlogloss:0.908124+0.045579
## [485] train-mlogloss:0.011614+0.000137 test-mlogloss:0.908375+0.045650
## [486] train-mlogloss:0.011598+0.000137 test-mlogloss:0.908670+0.045551
## [487] train-mlogloss:0.011582+0.000135 test-mlogloss:0.909028+0.045553
## [488] train-mlogloss:0.011566+0.000133 test-mlogloss:0.909170+0.045637
## [489] train-mlogloss:0.011550+0.000133 test-mlogloss:0.909064+0.045669
## [490] train-mlogloss:0.011532+0.000131 test-mlogloss:0.909498+0.045619
## [491] train-mlogloss:0.011516+0.000130 test-mlogloss:0.909809+0.045541
## [492] train-mlogloss:0.011501+0.000130 test-mlogloss:0.910192+0.045594
## [493] train-mlogloss:0.011485+0.000130 test-mlogloss:0.910551+0.045777
## [494] train-mlogloss:0.011470+0.000129 test-mlogloss:0.911018+0.045766
## [495] train-mlogloss:0.011454+0.000128 test-mlogloss:0.911176+0.045764
## [496] train-mlogloss:0.011439+0.000129 test-mlogloss:0.911325+0.045751
## [497] train-mlogloss:0.011422+0.000129 test-mlogloss:0.911641+0.046306
## [498] train-mlogloss:0.011404+0.000128 test-mlogloss:0.911914+0.046317
## [499] train-mlogloss:0.011388+0.000127 test-mlogloss:0.911953+0.046020
## [500] train-mlogloss:0.011372+0.000126 test-mlogloss:0.912289+0.046002
## [1] train-mlogloss:0.540205+0.001293 test-mlogloss:0.556691+0.007635
## [2] train-mlogloss:0.509329+0.001905 test-mlogloss:0.538242+0.011222
## [3] train-mlogloss:0.496090+0.001850 test-mlogloss:0.538877+0.010826
## [4] train-mlogloss:0.488095+0.002830 test-mlogloss:0.539976+0.011521
## [5] train-mlogloss:0.480082+0.001735 test-mlogloss:0.543770+0.011836
## [6] train-mlogloss:0.474322+0.001920 test-mlogloss:0.546657+0.012175
## [7] train-mlogloss:0.467948+0.002022 test-mlogloss:0.549695+0.012696
## [8] train-mlogloss:0.460845+0.002448 test-mlogloss:0.552815+0.013074
## [9] train-mlogloss:0.454317+0.002885 test-mlogloss:0.555665+0.011760
## [10] train-mlogloss:0.447505+0.004702 test-mlogloss:0.558075+0.012545
## [11] train-mlogloss:0.440700+0.004848 test-mlogloss:0.560913+0.012766
## [12] train-mlogloss:0.435029+0.004835 test-mlogloss:0.560590+0.013997
## [13] train-mlogloss:0.428453+0.004473 test-mlogloss:0.562860+0.013689
## [14] train-mlogloss:0.422730+0.003986 test-mlogloss:0.564144+0.013708
## [15] train-mlogloss:0.417794+0.003472 test-mlogloss:0.566564+0.014532
## [16] train-mlogloss:0.412220+0.003775 test-mlogloss:0.568283+0.015152
## [17] train-mlogloss:0.406917+0.003900 test-mlogloss:0.571494+0.013759
## [18] train-mlogloss:0.402434+0.003241 test-mlogloss:0.573131+0.013684
## [19] train-mlogloss:0.397139+0.004217 test-mlogloss:0.574866+0.014095
## [20] train-mlogloss:0.391636+0.004930 test-mlogloss:0.577462+0.014666
## [21] train-mlogloss:0.386974+0.004681 test-mlogloss:0.578026+0.014317
## [22] train-mlogloss:0.381763+0.004158 test-mlogloss:0.579743+0.014585
## [23] train-mlogloss:0.377105+0.003248 test-mlogloss:0.582419+0.013255
## [24] train-mlogloss:0.372494+0.003295 test-mlogloss:0.584763+0.013518
## [25] train-mlogloss:0.367668+0.003619 test-mlogloss:0.586542+0.014022
## [26] train-mlogloss:0.363031+0.002874 test-mlogloss:0.587837+0.013683
## [27] train-mlogloss:0.359770+0.003772 test-mlogloss:0.589933+0.013770
## [28] train-mlogloss:0.355383+0.003250 test-mlogloss:0.591688+0.013598
## [29] train-mlogloss:0.351492+0.003634 test-mlogloss:0.593145+0.014029
## [30] train-mlogloss:0.345987+0.003165 test-mlogloss:0.595636+0.015147
## [31] train-mlogloss:0.341639+0.003287 test-mlogloss:0.596750+0.014151
## [32] train-mlogloss:0.337926+0.003017 test-mlogloss:0.598056+0.014729
## [33] train-mlogloss:0.333145+0.003078 test-mlogloss:0.600913+0.014278
## [34] train-mlogloss:0.329342+0.003085 test-mlogloss:0.603515+0.013543
## [35] train-mlogloss:0.325888+0.002951 test-mlogloss:0.605008+0.013697
## [36] train-mlogloss:0.321635+0.003480 test-mlogloss:0.606456+0.013270
## [37] train-mlogloss:0.317910+0.003649 test-mlogloss:0.607288+0.013490
## [38] train-mlogloss:0.314596+0.004180 test-mlogloss:0.608035+0.014892
## [39] train-mlogloss:0.311318+0.004396 test-mlogloss:0.610109+0.013887
## [40] train-mlogloss:0.307209+0.004775 test-mlogloss:0.611883+0.014108
## [41] train-mlogloss:0.303357+0.004928 test-mlogloss:0.614849+0.014214
## [42] train-mlogloss:0.300007+0.004297 test-mlogloss:0.616128+0.014505
## [43] train-mlogloss:0.296586+0.004875 test-mlogloss:0.617203+0.014870
## [44] train-mlogloss:0.293297+0.005112 test-mlogloss:0.618345+0.013247
## [45] train-mlogloss:0.288809+0.005080 test-mlogloss:0.621311+0.014192
## [46] train-mlogloss:0.285657+0.005472 test-mlogloss:0.622785+0.014741
## [47] train-mlogloss:0.282972+0.005554 test-mlogloss:0.624752+0.015136
## [48] train-mlogloss:0.280209+0.005740 test-mlogloss:0.625725+0.014953
## [49] train-mlogloss:0.277034+0.004885 test-mlogloss:0.627617+0.015498
## [50] train-mlogloss:0.273684+0.005735 test-mlogloss:0.628114+0.015622
## [51] train-mlogloss:0.270581+0.006339 test-mlogloss:0.630638+0.015780
## [52] train-mlogloss:0.267510+0.006073 test-mlogloss:0.633143+0.015476
## [53] train-mlogloss:0.264577+0.006060 test-mlogloss:0.633918+0.015060
## [54] train-mlogloss:0.261042+0.006634 test-mlogloss:0.635352+0.013635
## [55] train-mlogloss:0.257079+0.006833 test-mlogloss:0.637440+0.012940
## [56] train-mlogloss:0.253450+0.006867 test-mlogloss:0.639339+0.012998
## [57] train-mlogloss:0.250382+0.006368 test-mlogloss:0.641297+0.013687
## [58] train-mlogloss:0.247540+0.005860 test-mlogloss:0.643149+0.014624
## [59] train-mlogloss:0.244729+0.005883 test-mlogloss:0.645518+0.013938
## [60] train-mlogloss:0.241915+0.006185 test-mlogloss:0.647623+0.012456
## [61] train-mlogloss:0.239281+0.006723 test-mlogloss:0.648233+0.011682
## [62] train-mlogloss:0.236681+0.006747 test-mlogloss:0.649673+0.010929
## [63] train-mlogloss:0.233552+0.006606 test-mlogloss:0.651318+0.009948
## [64] train-mlogloss:0.230570+0.007296 test-mlogloss:0.651792+0.011054
## [65] train-mlogloss:0.227647+0.006771 test-mlogloss:0.654319+0.011499
## [66] train-mlogloss:0.225165+0.006041 test-mlogloss:0.657022+0.011363
## [67] train-mlogloss:0.222490+0.005668 test-mlogloss:0.658439+0.012918
## [68] train-mlogloss:0.220831+0.005468 test-mlogloss:0.660512+0.012397
## [69] train-mlogloss:0.218141+0.005396 test-mlogloss:0.662794+0.011974
## [70] train-mlogloss:0.215213+0.005117 test-mlogloss:0.664901+0.011821
## [71] train-mlogloss:0.212254+0.004796 test-mlogloss:0.666204+0.010145
## [72] train-mlogloss:0.210161+0.004973 test-mlogloss:0.667305+0.009819
## [73] train-mlogloss:0.207824+0.005318 test-mlogloss:0.667660+0.010114
## [74] train-mlogloss:0.205929+0.005227 test-mlogloss:0.669080+0.011400
## [75] train-mlogloss:0.203443+0.005319 test-mlogloss:0.671199+0.011236
## [76] train-mlogloss:0.201141+0.005431 test-mlogloss:0.672196+0.010767
## [77] train-mlogloss:0.198924+0.005167 test-mlogloss:0.673895+0.011740
## [78] train-mlogloss:0.196693+0.004936 test-mlogloss:0.674928+0.012025
## [79] train-mlogloss:0.194574+0.004963 test-mlogloss:0.676055+0.012264
## [80] train-mlogloss:0.192901+0.004303 test-mlogloss:0.678424+0.012625
## [81] train-mlogloss:0.191109+0.003929 test-mlogloss:0.680397+0.013310
## [82] train-mlogloss:0.188973+0.003900 test-mlogloss:0.681345+0.013390
## [83] train-mlogloss:0.187022+0.003972 test-mlogloss:0.682357+0.013264
## [84] train-mlogloss:0.184899+0.004025 test-mlogloss:0.683175+0.013644
## [85] train-mlogloss:0.182925+0.003819 test-mlogloss:0.685084+0.013078
## [86] train-mlogloss:0.180852+0.004078 test-mlogloss:0.687057+0.012449
## [87] train-mlogloss:0.179179+0.003901 test-mlogloss:0.688814+0.012189
## [88] train-mlogloss:0.177013+0.003700 test-mlogloss:0.690887+0.012265
## [89] train-mlogloss:0.175220+0.003735 test-mlogloss:0.691183+0.012941
## [90] train-mlogloss:0.173385+0.003633 test-mlogloss:0.693460+0.012826
## [91] train-mlogloss:0.171370+0.003532 test-mlogloss:0.693756+0.011978
## [92] train-mlogloss:0.169621+0.003283 test-mlogloss:0.694639+0.013079
## [93] train-mlogloss:0.167879+0.003666 test-mlogloss:0.696554+0.012311
## [94] train-mlogloss:0.166467+0.003810 test-mlogloss:0.697477+0.012735
## [95] train-mlogloss:0.164886+0.003781 test-mlogloss:0.699426+0.012298
## [96] train-mlogloss:0.163384+0.003529 test-mlogloss:0.700589+0.012301
## [97] train-mlogloss:0.161721+0.003715 test-mlogloss:0.702911+0.012017
## [98] train-mlogloss:0.160478+0.003689 test-mlogloss:0.704991+0.011177
## [99] train-mlogloss:0.158570+0.003824 test-mlogloss:0.705790+0.012058
## [100] train-mlogloss:0.156876+0.003503 test-mlogloss:0.706031+0.012615
## [101] train-mlogloss:0.154841+0.003710 test-mlogloss:0.707218+0.013564
## [102] train-mlogloss:0.153135+0.003450 test-mlogloss:0.709093+0.013608
## [103] train-mlogloss:0.151840+0.003377 test-mlogloss:0.710603+0.014874
## [104] train-mlogloss:0.150238+0.003440 test-mlogloss:0.712072+0.015449
## [105] train-mlogloss:0.148714+0.003230 test-mlogloss:0.714039+0.014133
## [106] train-mlogloss:0.147079+0.002853 test-mlogloss:0.714909+0.014070
## [107] train-mlogloss:0.145761+0.003143 test-mlogloss:0.716790+0.014228
## [108] train-mlogloss:0.144452+0.002910 test-mlogloss:0.717903+0.013341
## [109] train-mlogloss:0.142820+0.003270 test-mlogloss:0.719701+0.013183
## [110] train-mlogloss:0.141673+0.002996 test-mlogloss:0.720704+0.012823
## [111] train-mlogloss:0.140236+0.003047 test-mlogloss:0.721971+0.011679
## [112] train-mlogloss:0.138820+0.003151 test-mlogloss:0.724235+0.011549
## [113] train-mlogloss:0.137374+0.002993 test-mlogloss:0.725323+0.010577
## [114] train-mlogloss:0.136326+0.003296 test-mlogloss:0.726276+0.010175
## [115] train-mlogloss:0.135130+0.003117 test-mlogloss:0.728639+0.010542
## [116] train-mlogloss:0.133765+0.003390 test-mlogloss:0.730454+0.010530
## [117] train-mlogloss:0.132222+0.003640 test-mlogloss:0.732077+0.011323
## [118] train-mlogloss:0.130950+0.003620 test-mlogloss:0.733411+0.012169
## [119] train-mlogloss:0.129621+0.003464 test-mlogloss:0.734522+0.012085
## [120] train-mlogloss:0.128313+0.003498 test-mlogloss:0.736608+0.014017
## [121] train-mlogloss:0.126824+0.003287 test-mlogloss:0.738608+0.014020
## [122] train-mlogloss:0.125742+0.003265 test-mlogloss:0.739377+0.014511
## [123] train-mlogloss:0.124683+0.003165 test-mlogloss:0.740956+0.014104
## [124] train-mlogloss:0.123701+0.002887 test-mlogloss:0.741259+0.013870
## [125] train-mlogloss:0.122434+0.002919 test-mlogloss:0.743010+0.014818
## [126] train-mlogloss:0.121191+0.002811 test-mlogloss:0.745212+0.014419
## [127] train-mlogloss:0.119900+0.002688 test-mlogloss:0.747064+0.014375
## [128] train-mlogloss:0.118309+0.002359 test-mlogloss:0.749430+0.014917
## [129] train-mlogloss:0.117118+0.002694 test-mlogloss:0.750051+0.014695
## [130] train-mlogloss:0.116086+0.002964 test-mlogloss:0.751538+0.015742
## [131] train-mlogloss:0.114631+0.003112 test-mlogloss:0.753260+0.016351
## [132] train-mlogloss:0.113655+0.002995 test-mlogloss:0.754203+0.016064
## [133] train-mlogloss:0.112528+0.002823 test-mlogloss:0.755829+0.015738
## [134] train-mlogloss:0.111621+0.002819 test-mlogloss:0.756771+0.015457
## [135] train-mlogloss:0.110485+0.002517 test-mlogloss:0.757111+0.015334
## [136] train-mlogloss:0.109137+0.002614 test-mlogloss:0.759545+0.015531
## [137] train-mlogloss:0.108270+0.002522 test-mlogloss:0.760136+0.015439
## [138] train-mlogloss:0.107137+0.002543 test-mlogloss:0.762412+0.016804
## [139] train-mlogloss:0.105993+0.002481 test-mlogloss:0.763771+0.016783
## [140] train-mlogloss:0.104876+0.002508 test-mlogloss:0.765486+0.017458
## [141] train-mlogloss:0.103971+0.002617 test-mlogloss:0.766177+0.017997
## [142] train-mlogloss:0.102947+0.002661 test-mlogloss:0.767019+0.018612
## [143] train-mlogloss:0.102055+0.002505 test-mlogloss:0.768411+0.018045
## [144] train-mlogloss:0.101134+0.002396 test-mlogloss:0.769331+0.018450
## [145] train-mlogloss:0.100128+0.002336 test-mlogloss:0.769983+0.018016
## [146] train-mlogloss:0.099029+0.002444 test-mlogloss:0.771211+0.016651
## [147] train-mlogloss:0.098206+0.002238 test-mlogloss:0.772129+0.016965
## [148] train-mlogloss:0.097226+0.002282 test-mlogloss:0.772213+0.017399
## [149] train-mlogloss:0.096250+0.002336 test-mlogloss:0.774440+0.017714
## [150] train-mlogloss:0.095355+0.002275 test-mlogloss:0.775746+0.017864
## [151] train-mlogloss:0.094510+0.002300 test-mlogloss:0.777459+0.019325
## [152] train-mlogloss:0.093546+0.002232 test-mlogloss:0.778447+0.019767
## [153] train-mlogloss:0.092690+0.002147 test-mlogloss:0.780269+0.019804
## [154] train-mlogloss:0.091553+0.002193 test-mlogloss:0.781542+0.020320
## [155] train-mlogloss:0.090704+0.002316 test-mlogloss:0.782935+0.020378
## [156] train-mlogloss:0.090012+0.002119 test-mlogloss:0.784600+0.020338
## [157] train-mlogloss:0.089178+0.002018 test-mlogloss:0.786175+0.020588
## [158] train-mlogloss:0.088331+0.001931 test-mlogloss:0.787378+0.020687
## [159] train-mlogloss:0.087437+0.002102 test-mlogloss:0.788371+0.021306
## [160] train-mlogloss:0.086461+0.002006 test-mlogloss:0.789745+0.021918
## [161] train-mlogloss:0.085592+0.001836 test-mlogloss:0.791352+0.022314
## [162] train-mlogloss:0.084819+0.001749 test-mlogloss:0.792258+0.022497
## [163] train-mlogloss:0.084168+0.001640 test-mlogloss:0.794038+0.022440
## [164] train-mlogloss:0.083245+0.001587 test-mlogloss:0.795147+0.023122
## [165] train-mlogloss:0.082575+0.001693 test-mlogloss:0.795870+0.022449
## [166] train-mlogloss:0.081667+0.001786 test-mlogloss:0.798013+0.021844
## [167] train-mlogloss:0.080911+0.001849 test-mlogloss:0.799591+0.021528
## [168] train-mlogloss:0.080182+0.001732 test-mlogloss:0.800364+0.022208
## [169] train-mlogloss:0.079568+0.001612 test-mlogloss:0.800805+0.022694
## [170] train-mlogloss:0.078870+0.001521 test-mlogloss:0.801571+0.023272
## [171] train-mlogloss:0.078179+0.001484 test-mlogloss:0.802345+0.023063
## [172] train-mlogloss:0.077523+0.001433 test-mlogloss:0.803697+0.022892
## [173] train-mlogloss:0.076804+0.001496 test-mlogloss:0.805738+0.023575
## [174] train-mlogloss:0.076201+0.001556 test-mlogloss:0.806616+0.023994
## [175] train-mlogloss:0.075574+0.001624 test-mlogloss:0.807544+0.024757
## [176] train-mlogloss:0.074835+0.001550 test-mlogloss:0.809631+0.024645
## [177] train-mlogloss:0.074373+0.001636 test-mlogloss:0.810662+0.025147
## [178] train-mlogloss:0.073843+0.001760 test-mlogloss:0.810889+0.024754
## [179] train-mlogloss:0.073268+0.001758 test-mlogloss:0.811567+0.024595
## [180] train-mlogloss:0.072678+0.001633 test-mlogloss:0.812691+0.023437
## [181] train-mlogloss:0.071922+0.001589 test-mlogloss:0.814889+0.025174
## [182] train-mlogloss:0.071281+0.001552 test-mlogloss:0.815723+0.025056
## [183] train-mlogloss:0.070713+0.001511 test-mlogloss:0.817034+0.025387
## [184] train-mlogloss:0.070092+0.001511 test-mlogloss:0.818285+0.025152
## [185] train-mlogloss:0.069488+0.001498 test-mlogloss:0.819225+0.024543
## [186] train-mlogloss:0.068782+0.001488 test-mlogloss:0.821199+0.024074
## [187] train-mlogloss:0.068282+0.001551 test-mlogloss:0.820660+0.023538
## [188] train-mlogloss:0.067765+0.001445 test-mlogloss:0.820652+0.023388
## [189] train-mlogloss:0.067242+0.001349 test-mlogloss:0.822361+0.023263
## [190] train-mlogloss:0.066779+0.001466 test-mlogloss:0.823996+0.024224
## [191] train-mlogloss:0.066220+0.001554 test-mlogloss:0.825028+0.024809
## [192] train-mlogloss:0.065753+0.001657 test-mlogloss:0.825473+0.025537
## [193] train-mlogloss:0.065314+0.001668 test-mlogloss:0.826933+0.024998
## [194] train-mlogloss:0.064780+0.001631 test-mlogloss:0.829013+0.024600
## [195] train-mlogloss:0.064242+0.001704 test-mlogloss:0.830576+0.026336
## [196] train-mlogloss:0.063591+0.001602 test-mlogloss:0.831569+0.026100
## [197] train-mlogloss:0.063183+0.001516 test-mlogloss:0.832498+0.026405
## [198] train-mlogloss:0.062653+0.001326 test-mlogloss:0.834284+0.026834
## [199] train-mlogloss:0.062252+0.001362 test-mlogloss:0.834726+0.027137
## [200] train-mlogloss:0.061794+0.001300 test-mlogloss:0.836071+0.027160
## [201] train-mlogloss:0.061279+0.001218 test-mlogloss:0.837320+0.026507
## [202] train-mlogloss:0.060838+0.001153 test-mlogloss:0.838508+0.025354
## [203] train-mlogloss:0.060427+0.001164 test-mlogloss:0.839537+0.024978
## [204] train-mlogloss:0.060053+0.001117 test-mlogloss:0.840585+0.024631
## [205] train-mlogloss:0.059469+0.001068 test-mlogloss:0.841670+0.024595
## [206] train-mlogloss:0.058948+0.001055 test-mlogloss:0.843175+0.024516
## [207] train-mlogloss:0.058542+0.001034 test-mlogloss:0.844574+0.025389
## [208] train-mlogloss:0.058181+0.000992 test-mlogloss:0.845789+0.025129
## [209] train-mlogloss:0.057781+0.000937 test-mlogloss:0.847632+0.024867
## [210] train-mlogloss:0.057273+0.000913 test-mlogloss:0.848512+0.024981
## [211] train-mlogloss:0.056777+0.000921 test-mlogloss:0.849810+0.024073
## [212] train-mlogloss:0.056365+0.000908 test-mlogloss:0.851175+0.024247
## [213] train-mlogloss:0.055897+0.000854 test-mlogloss:0.852407+0.023628
## [214] train-mlogloss:0.055501+0.000808 test-mlogloss:0.853751+0.024164
## [215] train-mlogloss:0.054989+0.000820 test-mlogloss:0.855435+0.024089
## [216] train-mlogloss:0.054498+0.000817 test-mlogloss:0.857586+0.024001
## [217] train-mlogloss:0.054029+0.000797 test-mlogloss:0.859178+0.025416
## [218] train-mlogloss:0.053554+0.000860 test-mlogloss:0.860280+0.024984
## [219] train-mlogloss:0.053187+0.000794 test-mlogloss:0.861797+0.024482
## [220] train-mlogloss:0.052831+0.000698 test-mlogloss:0.862482+0.024682
## [221] train-mlogloss:0.052410+0.000680 test-mlogloss:0.862443+0.024603
## [222] train-mlogloss:0.052049+0.000747 test-mlogloss:0.863895+0.024868
## [223] train-mlogloss:0.051729+0.000701 test-mlogloss:0.865404+0.023537
## [224] train-mlogloss:0.051370+0.000764 test-mlogloss:0.866174+0.024761
## [225] train-mlogloss:0.051028+0.000735 test-mlogloss:0.867629+0.025122
## [226] train-mlogloss:0.050690+0.000734 test-mlogloss:0.868673+0.024510
## [227] train-mlogloss:0.050401+0.000745 test-mlogloss:0.869903+0.024848
## [228] train-mlogloss:0.050115+0.000685 test-mlogloss:0.871068+0.024890
## [229] train-mlogloss:0.049718+0.000598 test-mlogloss:0.873022+0.024185
## [230] train-mlogloss:0.049401+0.000567 test-mlogloss:0.873816+0.024491
## [231] train-mlogloss:0.049079+0.000620 test-mlogloss:0.875610+0.024797
## [232] train-mlogloss:0.048737+0.000660 test-mlogloss:0.876567+0.024341
## [233] train-mlogloss:0.048472+0.000726 test-mlogloss:0.877297+0.023367
## [234] train-mlogloss:0.048248+0.000696 test-mlogloss:0.878362+0.024058
## [235] train-mlogloss:0.047969+0.000685 test-mlogloss:0.879313+0.023669
## [236] train-mlogloss:0.047648+0.000726 test-mlogloss:0.880504+0.023634
## [237] train-mlogloss:0.047357+0.000812 test-mlogloss:0.882074+0.023958
## [238] train-mlogloss:0.046993+0.000895 test-mlogloss:0.882180+0.024160
## [239] train-mlogloss:0.046728+0.000855 test-mlogloss:0.882907+0.024076
## [240] train-mlogloss:0.046434+0.000899 test-mlogloss:0.883277+0.024263
## [241] train-mlogloss:0.046101+0.000904 test-mlogloss:0.884656+0.025081
## [242] train-mlogloss:0.045739+0.000901 test-mlogloss:0.886008+0.025651
## [243] train-mlogloss:0.045455+0.000865 test-mlogloss:0.886163+0.026699
## [244] train-mlogloss:0.045124+0.000903 test-mlogloss:0.887240+0.026454
## [245] train-mlogloss:0.044762+0.000959 test-mlogloss:0.887727+0.026238
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## [247] train-mlogloss:0.044110+0.000816 test-mlogloss:0.889998+0.027479
## [248] train-mlogloss:0.043792+0.000823 test-mlogloss:0.890867+0.028448
## [249] train-mlogloss:0.043554+0.000891 test-mlogloss:0.891979+0.029234
## [250] train-mlogloss:0.043276+0.000828 test-mlogloss:0.892151+0.029082
## [251] train-mlogloss:0.043064+0.000817 test-mlogloss:0.892190+0.029203
## [252] train-mlogloss:0.042769+0.000794 test-mlogloss:0.892686+0.029925
## [253] train-mlogloss:0.042500+0.000789 test-mlogloss:0.893585+0.030233
## [254] train-mlogloss:0.042260+0.000795 test-mlogloss:0.894050+0.030669
## [255] train-mlogloss:0.041980+0.000749 test-mlogloss:0.895398+0.031233
## [256] train-mlogloss:0.041780+0.000767 test-mlogloss:0.895992+0.030620
## [257] train-mlogloss:0.041525+0.000801 test-mlogloss:0.896900+0.030642
## [258] train-mlogloss:0.041205+0.000867 test-mlogloss:0.898006+0.030666
## [259] train-mlogloss:0.040959+0.000772 test-mlogloss:0.899862+0.029775
## [260] train-mlogloss:0.040733+0.000748 test-mlogloss:0.899537+0.029930
## [261] train-mlogloss:0.040519+0.000795 test-mlogloss:0.900599+0.030051
## [262] train-mlogloss:0.040260+0.000782 test-mlogloss:0.901073+0.030171
## [263] train-mlogloss:0.040033+0.000822 test-mlogloss:0.901807+0.030941
## [264] train-mlogloss:0.039762+0.000763 test-mlogloss:0.902476+0.030573
## [265] train-mlogloss:0.039567+0.000785 test-mlogloss:0.902865+0.029915
## [266] train-mlogloss:0.039323+0.000767 test-mlogloss:0.902839+0.029795
## [267] train-mlogloss:0.039128+0.000757 test-mlogloss:0.905011+0.028829
## [268] train-mlogloss:0.038876+0.000720 test-mlogloss:0.905946+0.028624
## [269] train-mlogloss:0.038652+0.000723 test-mlogloss:0.906963+0.029268
## [270] train-mlogloss:0.038445+0.000721 test-mlogloss:0.907998+0.029197
## [271] train-mlogloss:0.038216+0.000706 test-mlogloss:0.909649+0.028372
## [272] train-mlogloss:0.037991+0.000695 test-mlogloss:0.910227+0.028020
## [273] train-mlogloss:0.037811+0.000729 test-mlogloss:0.910927+0.029273
## [274] train-mlogloss:0.037564+0.000724 test-mlogloss:0.911816+0.029210
## [275] train-mlogloss:0.037305+0.000703 test-mlogloss:0.912835+0.029363
## [276] train-mlogloss:0.037103+0.000713 test-mlogloss:0.913419+0.029540
## [277] train-mlogloss:0.036891+0.000701 test-mlogloss:0.913876+0.029183
## [278] train-mlogloss:0.036670+0.000705 test-mlogloss:0.914824+0.029409
## [279] train-mlogloss:0.036462+0.000699 test-mlogloss:0.916016+0.029383
## [280] train-mlogloss:0.036209+0.000683 test-mlogloss:0.917222+0.029698
## [281] train-mlogloss:0.036071+0.000664 test-mlogloss:0.917612+0.030391
## [282] train-mlogloss:0.035892+0.000641 test-mlogloss:0.918573+0.030805
## [283] train-mlogloss:0.035714+0.000601 test-mlogloss:0.919571+0.030612
## [284] train-mlogloss:0.035536+0.000627 test-mlogloss:0.920777+0.030605
## [285] train-mlogloss:0.035335+0.000642 test-mlogloss:0.921089+0.030320
## [286] train-mlogloss:0.035132+0.000670 test-mlogloss:0.922155+0.030461
## [287] train-mlogloss:0.034976+0.000663 test-mlogloss:0.923550+0.030720
## [288] train-mlogloss:0.034779+0.000664 test-mlogloss:0.924771+0.031291
## [289] train-mlogloss:0.034595+0.000695 test-mlogloss:0.926045+0.030626
## [290] train-mlogloss:0.034416+0.000708 test-mlogloss:0.926125+0.031130
## [291] train-mlogloss:0.034227+0.000690 test-mlogloss:0.926914+0.031093
## [292] train-mlogloss:0.034075+0.000667 test-mlogloss:0.927220+0.030839
## [293] train-mlogloss:0.033898+0.000648 test-mlogloss:0.927464+0.030330
## [294] train-mlogloss:0.033728+0.000666 test-mlogloss:0.928260+0.030689
## [295] train-mlogloss:0.033548+0.000666 test-mlogloss:0.929544+0.029862
## [296] train-mlogloss:0.033359+0.000636 test-mlogloss:0.930152+0.029215
## [297] train-mlogloss:0.033190+0.000628 test-mlogloss:0.931017+0.029178
## [298] train-mlogloss:0.033006+0.000603 test-mlogloss:0.931742+0.029798
## [299] train-mlogloss:0.032844+0.000636 test-mlogloss:0.931820+0.029935
## [300] train-mlogloss:0.032657+0.000606 test-mlogloss:0.933206+0.028699
## [301] train-mlogloss:0.032500+0.000589 test-mlogloss:0.933217+0.028248
## [302] train-mlogloss:0.032276+0.000553 test-mlogloss:0.934298+0.027887
## [303] train-mlogloss:0.032110+0.000543 test-mlogloss:0.934263+0.027554
## [304] train-mlogloss:0.031918+0.000524 test-mlogloss:0.934267+0.027330
## [305] train-mlogloss:0.031757+0.000524 test-mlogloss:0.935743+0.027157
## [306] train-mlogloss:0.031594+0.000527 test-mlogloss:0.936301+0.027142
## [307] train-mlogloss:0.031430+0.000522 test-mlogloss:0.936718+0.027527
## [308] train-mlogloss:0.031260+0.000509 test-mlogloss:0.936777+0.027660
## [309] train-mlogloss:0.031092+0.000486 test-mlogloss:0.937454+0.028547
## [310] train-mlogloss:0.030923+0.000430 test-mlogloss:0.938581+0.028336
## [311] train-mlogloss:0.030761+0.000448 test-mlogloss:0.939111+0.027925
## [312] train-mlogloss:0.030597+0.000447 test-mlogloss:0.940239+0.028939
## [313] train-mlogloss:0.030435+0.000463 test-mlogloss:0.940804+0.028991
## [314] train-mlogloss:0.030297+0.000479 test-mlogloss:0.941965+0.029836
## [315] train-mlogloss:0.030152+0.000440 test-mlogloss:0.943337+0.029323
## [316] train-mlogloss:0.030047+0.000447 test-mlogloss:0.943954+0.029628
## [317] train-mlogloss:0.029907+0.000420 test-mlogloss:0.944285+0.029484
## [318] train-mlogloss:0.029772+0.000398 test-mlogloss:0.945185+0.029335
## [319] train-mlogloss:0.029645+0.000413 test-mlogloss:0.946541+0.029218
## [320] train-mlogloss:0.029523+0.000412 test-mlogloss:0.947461+0.029415
## [321] train-mlogloss:0.029345+0.000431 test-mlogloss:0.948313+0.029579
## [322] train-mlogloss:0.029240+0.000415 test-mlogloss:0.948634+0.028718
## [323] train-mlogloss:0.029101+0.000355 test-mlogloss:0.949316+0.028496
## [324] train-mlogloss:0.028998+0.000363 test-mlogloss:0.949939+0.029058
## [325] train-mlogloss:0.028828+0.000359 test-mlogloss:0.949903+0.029577
## [326] train-mlogloss:0.028698+0.000382 test-mlogloss:0.950661+0.029192
## [327] train-mlogloss:0.028575+0.000395 test-mlogloss:0.951439+0.028768
## [328] train-mlogloss:0.028471+0.000365 test-mlogloss:0.952225+0.028930
## [329] train-mlogloss:0.028352+0.000360 test-mlogloss:0.952863+0.028284
## [330] train-mlogloss:0.028211+0.000384 test-mlogloss:0.952678+0.028857
## [331] train-mlogloss:0.028077+0.000378 test-mlogloss:0.953544+0.029566
## [332] train-mlogloss:0.027933+0.000417 test-mlogloss:0.954516+0.029206
## [333] train-mlogloss:0.027801+0.000397 test-mlogloss:0.955616+0.029618
## [334] train-mlogloss:0.027646+0.000405 test-mlogloss:0.956605+0.029720
## [335] train-mlogloss:0.027514+0.000409 test-mlogloss:0.957080+0.029765
## [336] train-mlogloss:0.027383+0.000437 test-mlogloss:0.957770+0.030164
## [337] train-mlogloss:0.027241+0.000414 test-mlogloss:0.957874+0.030110
## [338] train-mlogloss:0.027132+0.000420 test-mlogloss:0.959089+0.030074
## [339] train-mlogloss:0.027006+0.000414 test-mlogloss:0.959825+0.029693
## [340] train-mlogloss:0.026873+0.000407 test-mlogloss:0.960670+0.028443
## [341] train-mlogloss:0.026744+0.000404 test-mlogloss:0.960980+0.028429
## [342] train-mlogloss:0.026594+0.000397 test-mlogloss:0.962108+0.028325
## [343] train-mlogloss:0.026439+0.000399 test-mlogloss:0.962841+0.028588
## [344] train-mlogloss:0.026327+0.000418 test-mlogloss:0.963699+0.028556
## [345] train-mlogloss:0.026233+0.000401 test-mlogloss:0.964361+0.028543
## [346] train-mlogloss:0.026096+0.000369 test-mlogloss:0.964750+0.028020
## [347] train-mlogloss:0.025957+0.000347 test-mlogloss:0.965104+0.028200
## [348] train-mlogloss:0.025815+0.000340 test-mlogloss:0.965648+0.027434
## [349] train-mlogloss:0.025693+0.000325 test-mlogloss:0.965450+0.027106
## [350] train-mlogloss:0.025586+0.000301 test-mlogloss:0.965965+0.026998
## [351] train-mlogloss:0.025456+0.000303 test-mlogloss:0.966602+0.028076
## [352] train-mlogloss:0.025352+0.000299 test-mlogloss:0.966960+0.027631
## [353] train-mlogloss:0.025251+0.000283 test-mlogloss:0.969214+0.027284
## [354] train-mlogloss:0.025146+0.000293 test-mlogloss:0.969532+0.027027
## [355] train-mlogloss:0.025047+0.000300 test-mlogloss:0.970148+0.027342
## [356] train-mlogloss:0.024934+0.000292 test-mlogloss:0.971293+0.027885
## [357] train-mlogloss:0.024795+0.000239 test-mlogloss:0.972217+0.028016
## [358] train-mlogloss:0.024705+0.000255 test-mlogloss:0.972910+0.028193
## [359] train-mlogloss:0.024605+0.000232 test-mlogloss:0.973451+0.028166
## [360] train-mlogloss:0.024515+0.000221 test-mlogloss:0.973940+0.027402
## [361] train-mlogloss:0.024414+0.000210 test-mlogloss:0.973802+0.027362
## [362] train-mlogloss:0.024316+0.000195 test-mlogloss:0.975164+0.027072
## [363] train-mlogloss:0.024196+0.000215 test-mlogloss:0.975952+0.026916
## [364] train-mlogloss:0.024085+0.000195 test-mlogloss:0.975620+0.027070
## [365] train-mlogloss:0.023945+0.000198 test-mlogloss:0.976459+0.027322
## [366] train-mlogloss:0.023832+0.000202 test-mlogloss:0.977153+0.027943
## [367] train-mlogloss:0.023756+0.000196 test-mlogloss:0.977310+0.027851
## [368] train-mlogloss:0.023657+0.000199 test-mlogloss:0.977845+0.028299
## [369] train-mlogloss:0.023580+0.000209 test-mlogloss:0.978411+0.028266
## [370] train-mlogloss:0.023489+0.000200 test-mlogloss:0.979034+0.028282
## [371] train-mlogloss:0.023387+0.000193 test-mlogloss:0.978769+0.027708
## [372] train-mlogloss:0.023280+0.000181 test-mlogloss:0.979605+0.027628
## [373] train-mlogloss:0.023200+0.000176 test-mlogloss:0.980233+0.027896
## [374] train-mlogloss:0.023107+0.000192 test-mlogloss:0.981692+0.028521
## [375] train-mlogloss:0.022997+0.000198 test-mlogloss:0.983539+0.028403
## [376] train-mlogloss:0.022904+0.000203 test-mlogloss:0.984567+0.028559
## [377] train-mlogloss:0.022815+0.000198 test-mlogloss:0.985398+0.028338
## [378] train-mlogloss:0.022717+0.000205 test-mlogloss:0.985672+0.027764
## [379] train-mlogloss:0.022612+0.000204 test-mlogloss:0.985970+0.028583
## [380] train-mlogloss:0.022509+0.000201 test-mlogloss:0.986386+0.029040
## [381] train-mlogloss:0.022428+0.000185 test-mlogloss:0.987439+0.028604
## [382] train-mlogloss:0.022313+0.000180 test-mlogloss:0.988354+0.028832
## [383] train-mlogloss:0.022228+0.000173 test-mlogloss:0.988612+0.028706
## [384] train-mlogloss:0.022147+0.000181 test-mlogloss:0.989167+0.029085
## [385] train-mlogloss:0.022063+0.000190 test-mlogloss:0.989958+0.029505
## [386] train-mlogloss:0.021963+0.000211 test-mlogloss:0.990985+0.029103
## [387] train-mlogloss:0.021890+0.000213 test-mlogloss:0.991544+0.029416
## [388] train-mlogloss:0.021812+0.000207 test-mlogloss:0.992256+0.029808
## [389] train-mlogloss:0.021726+0.000228 test-mlogloss:0.994035+0.030227
## [390] train-mlogloss:0.021654+0.000218 test-mlogloss:0.994426+0.030704
## [391] train-mlogloss:0.021565+0.000227 test-mlogloss:0.994678+0.030592
## [392] train-mlogloss:0.021483+0.000213 test-mlogloss:0.994688+0.030844
## [393] train-mlogloss:0.021418+0.000233 test-mlogloss:0.995933+0.031140
## [394] train-mlogloss:0.021345+0.000237 test-mlogloss:0.996051+0.030865
## [395] train-mlogloss:0.021249+0.000228 test-mlogloss:0.997071+0.030958
## [396] train-mlogloss:0.021169+0.000232 test-mlogloss:0.997539+0.030622
## [397] train-mlogloss:0.021077+0.000217 test-mlogloss:0.998407+0.030227
## [398] train-mlogloss:0.021001+0.000202 test-mlogloss:0.998811+0.030511
## [399] train-mlogloss:0.020912+0.000190 test-mlogloss:0.999327+0.031092
## [400] train-mlogloss:0.020841+0.000175 test-mlogloss:0.999172+0.030686
## [401] train-mlogloss:0.020753+0.000174 test-mlogloss:1.000519+0.031269
## [402] train-mlogloss:0.020661+0.000171 test-mlogloss:1.000977+0.030482
## [403] train-mlogloss:0.020600+0.000171 test-mlogloss:1.001331+0.031058
## [404] train-mlogloss:0.020520+0.000163 test-mlogloss:1.002517+0.031405
## [405] train-mlogloss:0.020452+0.000159 test-mlogloss:1.002764+0.030772
## [406] train-mlogloss:0.020376+0.000156 test-mlogloss:1.003489+0.029792
## [407] train-mlogloss:0.020320+0.000162 test-mlogloss:1.004183+0.029692
## [408] train-mlogloss:0.020246+0.000159 test-mlogloss:1.004573+0.029810
## [409] train-mlogloss:0.020163+0.000170 test-mlogloss:1.005160+0.029522
## [410] train-mlogloss:0.020076+0.000168 test-mlogloss:1.006215+0.029175
## [411] train-mlogloss:0.019982+0.000163 test-mlogloss:1.006481+0.028596
## [412] train-mlogloss:0.019908+0.000192 test-mlogloss:1.006780+0.028936
## [413] train-mlogloss:0.019835+0.000197 test-mlogloss:1.007666+0.028920
## [414] train-mlogloss:0.019785+0.000184 test-mlogloss:1.008222+0.028170
## [415] train-mlogloss:0.019717+0.000178 test-mlogloss:1.008998+0.028124
## [416] train-mlogloss:0.019651+0.000173 test-mlogloss:1.009371+0.028105
## [417] train-mlogloss:0.019581+0.000179 test-mlogloss:1.009955+0.028368
## [418] train-mlogloss:0.019519+0.000186 test-mlogloss:1.011662+0.028964
## [419] train-mlogloss:0.019460+0.000201 test-mlogloss:1.012504+0.029398
## [420] train-mlogloss:0.019396+0.000213 test-mlogloss:1.013344+0.029118
## [421] train-mlogloss:0.019339+0.000211 test-mlogloss:1.013944+0.028998
## [422] train-mlogloss:0.019271+0.000205 test-mlogloss:1.014126+0.028547
## [423] train-mlogloss:0.019200+0.000196 test-mlogloss:1.015296+0.028547
## [424] train-mlogloss:0.019140+0.000194 test-mlogloss:1.015438+0.028055
## [425] train-mlogloss:0.019067+0.000189 test-mlogloss:1.016659+0.028764
## [426] train-mlogloss:0.018996+0.000186 test-mlogloss:1.017477+0.028725
## [427] train-mlogloss:0.018910+0.000187 test-mlogloss:1.018519+0.028178
## [428] train-mlogloss:0.018842+0.000188 test-mlogloss:1.019417+0.029228
## [429] train-mlogloss:0.018780+0.000176 test-mlogloss:1.019818+0.029069
## [430] train-mlogloss:0.018728+0.000180 test-mlogloss:1.020385+0.029683
## [431] train-mlogloss:0.018654+0.000189 test-mlogloss:1.020842+0.030562
## [432] train-mlogloss:0.018575+0.000206 test-mlogloss:1.021470+0.031106
## [433] train-mlogloss:0.018520+0.000210 test-mlogloss:1.022221+0.031471
## [434] train-mlogloss:0.018467+0.000220 test-mlogloss:1.022399+0.031956
## [435] train-mlogloss:0.018401+0.000220 test-mlogloss:1.023171+0.032169
## [436] train-mlogloss:0.018345+0.000234 test-mlogloss:1.023383+0.032457
## [437] train-mlogloss:0.018298+0.000225 test-mlogloss:1.024300+0.031797
## [438] train-mlogloss:0.018237+0.000226 test-mlogloss:1.025198+0.032241
## [439] train-mlogloss:0.018165+0.000225 test-mlogloss:1.026139+0.032366
## [440] train-mlogloss:0.018109+0.000225 test-mlogloss:1.026698+0.032481
## [441] train-mlogloss:0.018051+0.000226 test-mlogloss:1.026928+0.032154
## [442] train-mlogloss:0.017997+0.000239 test-mlogloss:1.027781+0.032044
## [443] train-mlogloss:0.017932+0.000229 test-mlogloss:1.028485+0.031740
## [444] train-mlogloss:0.017866+0.000237 test-mlogloss:1.028394+0.032080
## [445] train-mlogloss:0.017797+0.000240 test-mlogloss:1.028299+0.031828
## [446] train-mlogloss:0.017735+0.000231 test-mlogloss:1.028793+0.032057
## [447] train-mlogloss:0.017677+0.000210 test-mlogloss:1.029643+0.031680
## [448] train-mlogloss:0.017629+0.000210 test-mlogloss:1.029961+0.031897
## [449] train-mlogloss:0.017562+0.000212 test-mlogloss:1.030925+0.032069
## [450] train-mlogloss:0.017512+0.000214 test-mlogloss:1.031249+0.032055
## [451] train-mlogloss:0.017466+0.000216 test-mlogloss:1.031916+0.032195
## [452] train-mlogloss:0.017406+0.000214 test-mlogloss:1.032544+0.032494
## [453] train-mlogloss:0.017349+0.000217 test-mlogloss:1.032926+0.032858
## [454] train-mlogloss:0.017288+0.000235 test-mlogloss:1.033496+0.032184
## [455] train-mlogloss:0.017240+0.000227 test-mlogloss:1.033883+0.032624
## [456] train-mlogloss:0.017181+0.000221 test-mlogloss:1.034646+0.032621
## [457] train-mlogloss:0.017129+0.000227 test-mlogloss:1.035127+0.032662
## [458] train-mlogloss:0.017081+0.000220 test-mlogloss:1.035614+0.032621
## [459] train-mlogloss:0.017027+0.000222 test-mlogloss:1.036590+0.032685
## [460] train-mlogloss:0.016978+0.000217 test-mlogloss:1.036869+0.032189
## [461] train-mlogloss:0.016924+0.000217 test-mlogloss:1.037200+0.031812
## [462] train-mlogloss:0.016872+0.000213 test-mlogloss:1.038226+0.031505
## [463] train-mlogloss:0.016825+0.000216 test-mlogloss:1.038900+0.032174
## [464] train-mlogloss:0.016788+0.000207 test-mlogloss:1.038499+0.031643
## [465] train-mlogloss:0.016740+0.000214 test-mlogloss:1.038766+0.031067
## [466] train-mlogloss:0.016694+0.000212 test-mlogloss:1.039960+0.031549
## [467] train-mlogloss:0.016650+0.000221 test-mlogloss:1.039849+0.031971
## [468] train-mlogloss:0.016587+0.000218 test-mlogloss:1.040504+0.031619
## [469] train-mlogloss:0.016552+0.000223 test-mlogloss:1.040219+0.030848
## [470] train-mlogloss:0.016501+0.000231 test-mlogloss:1.040632+0.031524
## [471] train-mlogloss:0.016441+0.000238 test-mlogloss:1.041165+0.031910
## [472] train-mlogloss:0.016394+0.000250 test-mlogloss:1.042189+0.031863
## [473] train-mlogloss:0.016354+0.000254 test-mlogloss:1.042623+0.031938
## [474] train-mlogloss:0.016313+0.000252 test-mlogloss:1.042783+0.032944
## [475] train-mlogloss:0.016270+0.000245 test-mlogloss:1.043733+0.033255
## [476] train-mlogloss:0.016226+0.000242 test-mlogloss:1.044396+0.032861
## [477] train-mlogloss:0.016189+0.000239 test-mlogloss:1.044957+0.032646
## [478] train-mlogloss:0.016149+0.000230 test-mlogloss:1.044997+0.031994
## [479] train-mlogloss:0.016105+0.000227 test-mlogloss:1.045517+0.032610
## [480] train-mlogloss:0.016061+0.000231 test-mlogloss:1.045593+0.032251
## [481] train-mlogloss:0.016019+0.000227 test-mlogloss:1.046736+0.032655
## [482] train-mlogloss:0.015985+0.000234 test-mlogloss:1.047579+0.032523
## [483] train-mlogloss:0.015941+0.000216 test-mlogloss:1.048003+0.032566
## [484] train-mlogloss:0.015892+0.000218 test-mlogloss:1.048141+0.032256
## [485] train-mlogloss:0.015851+0.000210 test-mlogloss:1.049165+0.032129
## [486] train-mlogloss:0.015796+0.000202 test-mlogloss:1.049506+0.032436
## [487] train-mlogloss:0.015738+0.000216 test-mlogloss:1.050224+0.032421
## [488] train-mlogloss:0.015677+0.000218 test-mlogloss:1.050631+0.032337
## [489] train-mlogloss:0.015639+0.000206 test-mlogloss:1.050510+0.032201
## [490] train-mlogloss:0.015593+0.000199 test-mlogloss:1.051073+0.031726
## [491] train-mlogloss:0.015532+0.000187 test-mlogloss:1.051225+0.031107
## [492] train-mlogloss:0.015487+0.000184 test-mlogloss:1.051664+0.031036
## [493] train-mlogloss:0.015446+0.000193 test-mlogloss:1.052859+0.031047
## [494] train-mlogloss:0.015401+0.000190 test-mlogloss:1.053941+0.031177
## [495] train-mlogloss:0.015361+0.000193 test-mlogloss:1.053678+0.030901
## [496] train-mlogloss:0.015320+0.000180 test-mlogloss:1.054207+0.031103
## [497] train-mlogloss:0.015281+0.000182 test-mlogloss:1.054480+0.030815
## [498] train-mlogloss:0.015244+0.000177 test-mlogloss:1.055057+0.030856
## [499] train-mlogloss:0.015209+0.000180 test-mlogloss:1.055030+0.030582
## [500] train-mlogloss:0.015160+0.000176 test-mlogloss:1.055515+0.030521
## [1] train-mlogloss:0.469562+0.009275 test-mlogloss:0.580674+0.006913
## [2] train-mlogloss:0.380186+0.010236 test-mlogloss:0.578209+0.012668
## [3] train-mlogloss:0.319876+0.007378 test-mlogloss:0.592151+0.014677
## [4] train-mlogloss:0.276104+0.007236 test-mlogloss:0.607454+0.018391
## [5] train-mlogloss:0.243795+0.006830 test-mlogloss:0.621769+0.019208
## [6] train-mlogloss:0.215769+0.005764 test-mlogloss:0.637146+0.018362
## [7] train-mlogloss:0.196470+0.003669 test-mlogloss:0.647593+0.016247
## [8] train-mlogloss:0.177385+0.003661 test-mlogloss:0.658033+0.016281
## [9] train-mlogloss:0.161948+0.001375 test-mlogloss:0.668353+0.012737
## [10] train-mlogloss:0.147961+0.001966 test-mlogloss:0.678020+0.014629
## [11] train-mlogloss:0.135977+0.000861 test-mlogloss:0.687212+0.013128
## [12] train-mlogloss:0.124932+0.000961 test-mlogloss:0.694706+0.014750
## [13] train-mlogloss:0.116408+0.001037 test-mlogloss:0.703727+0.014799
## [14] train-mlogloss:0.108291+0.001175 test-mlogloss:0.713067+0.013982
## [15] train-mlogloss:0.100907+0.000995 test-mlogloss:0.718410+0.013136
## [16] train-mlogloss:0.094179+0.000847 test-mlogloss:0.724374+0.013884
## [17] train-mlogloss:0.088356+0.000954 test-mlogloss:0.728774+0.014497
## [18] train-mlogloss:0.083745+0.001425 test-mlogloss:0.733810+0.013930
## [19] train-mlogloss:0.079383+0.001433 test-mlogloss:0.739525+0.014423
## [20] train-mlogloss:0.075314+0.001334 test-mlogloss:0.745749+0.013819
## [21] train-mlogloss:0.071544+0.001210 test-mlogloss:0.750684+0.012542
## [22] train-mlogloss:0.068286+0.001279 test-mlogloss:0.757136+0.012121
## [23] train-mlogloss:0.065228+0.001210 test-mlogloss:0.762053+0.011799
## [24] train-mlogloss:0.062505+0.000928 test-mlogloss:0.767670+0.010072
## [25] train-mlogloss:0.059941+0.000861 test-mlogloss:0.773953+0.009499
## [26] train-mlogloss:0.057625+0.000944 test-mlogloss:0.778297+0.009698
## [27] train-mlogloss:0.055482+0.000801 test-mlogloss:0.781903+0.009514
## [28] train-mlogloss:0.053532+0.000640 test-mlogloss:0.784989+0.010186
## [29] train-mlogloss:0.051669+0.000494 test-mlogloss:0.789461+0.010520
## [30] train-mlogloss:0.049873+0.000481 test-mlogloss:0.791554+0.009865
## [31] train-mlogloss:0.048351+0.000475 test-mlogloss:0.793981+0.009125
## [32] train-mlogloss:0.046875+0.000398 test-mlogloss:0.798572+0.008697
## [33] train-mlogloss:0.045375+0.000403 test-mlogloss:0.801026+0.009212
## [34] train-mlogloss:0.044058+0.000413 test-mlogloss:0.805165+0.008457
## [35] train-mlogloss:0.042772+0.000429 test-mlogloss:0.810645+0.009353
## [36] train-mlogloss:0.041619+0.000348 test-mlogloss:0.813616+0.009148
## [37] train-mlogloss:0.040526+0.000322 test-mlogloss:0.815555+0.008866
## [38] train-mlogloss:0.039481+0.000362 test-mlogloss:0.818226+0.009425
## [39] train-mlogloss:0.038598+0.000359 test-mlogloss:0.822051+0.011198
## [40] train-mlogloss:0.037708+0.000371 test-mlogloss:0.825027+0.010569
## [41] train-mlogloss:0.036905+0.000310 test-mlogloss:0.829218+0.012287
## [42] train-mlogloss:0.036114+0.000335 test-mlogloss:0.832252+0.013297
## [43] train-mlogloss:0.035350+0.000341 test-mlogloss:0.833611+0.013059
## [44] train-mlogloss:0.034632+0.000369 test-mlogloss:0.836212+0.014185
## [45] train-mlogloss:0.033932+0.000332 test-mlogloss:0.838608+0.014543
## [46] train-mlogloss:0.033201+0.000344 test-mlogloss:0.841101+0.013671
## [47] train-mlogloss:0.032613+0.000350 test-mlogloss:0.844447+0.013690
## [48] train-mlogloss:0.031984+0.000340 test-mlogloss:0.845754+0.013706
## [49] train-mlogloss:0.031431+0.000349 test-mlogloss:0.846917+0.014042
## [50] train-mlogloss:0.030838+0.000332 test-mlogloss:0.849867+0.015527
## [51] train-mlogloss:0.030331+0.000337 test-mlogloss:0.852328+0.016523
## [52] train-mlogloss:0.029837+0.000339 test-mlogloss:0.853425+0.016144
## [53] train-mlogloss:0.029320+0.000323 test-mlogloss:0.855893+0.017066
## [54] train-mlogloss:0.028869+0.000314 test-mlogloss:0.857074+0.016275
## [55] train-mlogloss:0.028419+0.000289 test-mlogloss:0.858583+0.016220
## [56] train-mlogloss:0.027970+0.000314 test-mlogloss:0.860533+0.016869
## [57] train-mlogloss:0.027550+0.000288 test-mlogloss:0.861890+0.018063
## [58] train-mlogloss:0.027163+0.000265 test-mlogloss:0.864427+0.018277
## [59] train-mlogloss:0.026768+0.000254 test-mlogloss:0.865691+0.019142
## [60] train-mlogloss:0.026386+0.000298 test-mlogloss:0.869016+0.019009
## [61] train-mlogloss:0.026032+0.000289 test-mlogloss:0.871239+0.019027
## [62] train-mlogloss:0.025672+0.000271 test-mlogloss:0.872919+0.019061
## [63] train-mlogloss:0.025345+0.000289 test-mlogloss:0.873322+0.019598
## [64] train-mlogloss:0.024995+0.000270 test-mlogloss:0.875368+0.020265
## [65] train-mlogloss:0.024670+0.000263 test-mlogloss:0.877647+0.021231
## [66] train-mlogloss:0.024366+0.000262 test-mlogloss:0.879809+0.021189
## [67] train-mlogloss:0.024045+0.000255 test-mlogloss:0.881750+0.021243
## [68] train-mlogloss:0.023746+0.000258 test-mlogloss:0.883374+0.020615
## [69] train-mlogloss:0.023471+0.000258 test-mlogloss:0.884959+0.021474
## [70] train-mlogloss:0.023194+0.000252 test-mlogloss:0.886413+0.021059
## [71] train-mlogloss:0.022920+0.000256 test-mlogloss:0.887375+0.021863
## [72] train-mlogloss:0.022663+0.000263 test-mlogloss:0.889297+0.023031
## [73] train-mlogloss:0.022414+0.000271 test-mlogloss:0.890704+0.021497
## [74] train-mlogloss:0.022172+0.000276 test-mlogloss:0.892498+0.021082
## [75] train-mlogloss:0.021943+0.000257 test-mlogloss:0.893264+0.021587
## [76] train-mlogloss:0.021721+0.000259 test-mlogloss:0.894230+0.020827
## [77] train-mlogloss:0.021471+0.000245 test-mlogloss:0.896329+0.019803
## [78] train-mlogloss:0.021254+0.000255 test-mlogloss:0.898204+0.020160
## [79] train-mlogloss:0.021025+0.000259 test-mlogloss:0.899715+0.020146
## [80] train-mlogloss:0.020820+0.000259 test-mlogloss:0.901439+0.021525
## [81] train-mlogloss:0.020616+0.000253 test-mlogloss:0.902905+0.022093
## [82] train-mlogloss:0.020419+0.000264 test-mlogloss:0.903413+0.022069
## [83] train-mlogloss:0.020226+0.000260 test-mlogloss:0.905276+0.021940
## [84] train-mlogloss:0.020034+0.000266 test-mlogloss:0.907461+0.021976
## [85] train-mlogloss:0.019833+0.000254 test-mlogloss:0.909376+0.022292
## [86] train-mlogloss:0.019644+0.000239 test-mlogloss:0.909989+0.023097
## [87] train-mlogloss:0.019475+0.000233 test-mlogloss:0.911137+0.023323
## [88] train-mlogloss:0.019292+0.000223 test-mlogloss:0.913678+0.023540
## [89] train-mlogloss:0.019121+0.000229 test-mlogloss:0.914358+0.023267
## [90] train-mlogloss:0.018955+0.000222 test-mlogloss:0.916101+0.023541
## [91] train-mlogloss:0.018785+0.000229 test-mlogloss:0.916648+0.024276
## [92] train-mlogloss:0.018633+0.000221 test-mlogloss:0.916986+0.024718
## [93] train-mlogloss:0.018487+0.000222 test-mlogloss:0.918334+0.024478
## [94] train-mlogloss:0.018342+0.000203 test-mlogloss:0.919043+0.024467
## [95] train-mlogloss:0.018187+0.000210 test-mlogloss:0.919479+0.024486
## [96] train-mlogloss:0.018030+0.000201 test-mlogloss:0.920430+0.025136
## [97] train-mlogloss:0.017889+0.000215 test-mlogloss:0.921700+0.025512
## [98] train-mlogloss:0.017749+0.000203 test-mlogloss:0.922694+0.025847
## [99] train-mlogloss:0.017605+0.000205 test-mlogloss:0.923765+0.025560
## [100] train-mlogloss:0.017463+0.000211 test-mlogloss:0.925348+0.025311
## [101] train-mlogloss:0.017325+0.000201 test-mlogloss:0.926231+0.025600
## [102] train-mlogloss:0.017198+0.000205 test-mlogloss:0.926945+0.026818
## [103] train-mlogloss:0.017077+0.000202 test-mlogloss:0.928122+0.026210
## [104] train-mlogloss:0.016949+0.000200 test-mlogloss:0.929131+0.026111
## [105] train-mlogloss:0.016828+0.000189 test-mlogloss:0.929690+0.027147
## [106] train-mlogloss:0.016706+0.000183 test-mlogloss:0.930439+0.027189
## [107] train-mlogloss:0.016585+0.000196 test-mlogloss:0.931994+0.027566
## [108] train-mlogloss:0.016472+0.000198 test-mlogloss:0.933021+0.027670
## [109] train-mlogloss:0.016349+0.000192 test-mlogloss:0.934070+0.027665
## [110] train-mlogloss:0.016233+0.000195 test-mlogloss:0.935274+0.028025
## [111] train-mlogloss:0.016121+0.000194 test-mlogloss:0.936386+0.028328
## [112] train-mlogloss:0.016011+0.000196 test-mlogloss:0.936845+0.027154
## [113] train-mlogloss:0.015903+0.000188 test-mlogloss:0.938677+0.027926
## [114] train-mlogloss:0.015798+0.000181 test-mlogloss:0.939679+0.027999
## [115] train-mlogloss:0.015695+0.000171 test-mlogloss:0.941076+0.028204
## [116] train-mlogloss:0.015600+0.000158 test-mlogloss:0.940912+0.028806
## [117] train-mlogloss:0.015506+0.000157 test-mlogloss:0.942233+0.028800
## [118] train-mlogloss:0.015418+0.000152 test-mlogloss:0.943893+0.030003
## [119] train-mlogloss:0.015316+0.000157 test-mlogloss:0.944386+0.029650
## [120] train-mlogloss:0.015229+0.000147 test-mlogloss:0.945860+0.028962
## [121] train-mlogloss:0.015129+0.000139 test-mlogloss:0.947178+0.029083
## [122] train-mlogloss:0.015041+0.000135 test-mlogloss:0.948296+0.028415
## [123] train-mlogloss:0.014957+0.000138 test-mlogloss:0.948799+0.029034
## [124] train-mlogloss:0.014879+0.000140 test-mlogloss:0.950037+0.029325
## [125] train-mlogloss:0.014793+0.000133 test-mlogloss:0.951442+0.030021
## [126] train-mlogloss:0.014701+0.000135 test-mlogloss:0.952875+0.030333
## [127] train-mlogloss:0.014618+0.000134 test-mlogloss:0.952987+0.030123
## [128] train-mlogloss:0.014538+0.000132 test-mlogloss:0.954044+0.031124
## [129] train-mlogloss:0.014444+0.000135 test-mlogloss:0.954887+0.031028
## [130] train-mlogloss:0.014372+0.000137 test-mlogloss:0.955918+0.030694
## [131] train-mlogloss:0.014291+0.000136 test-mlogloss:0.956639+0.030362
## [132] train-mlogloss:0.014220+0.000139 test-mlogloss:0.958099+0.030492
## [133] train-mlogloss:0.014144+0.000144 test-mlogloss:0.958041+0.031069
## [134] train-mlogloss:0.014071+0.000145 test-mlogloss:0.958285+0.031623
## [135] train-mlogloss:0.013993+0.000145 test-mlogloss:0.958799+0.030808
## [136] train-mlogloss:0.013918+0.000146 test-mlogloss:0.959877+0.030059
## [137] train-mlogloss:0.013849+0.000142 test-mlogloss:0.961172+0.029856
## [138] train-mlogloss:0.013775+0.000147 test-mlogloss:0.962719+0.029420
## [139] train-mlogloss:0.013705+0.000136 test-mlogloss:0.963013+0.029061
## [140] train-mlogloss:0.013636+0.000136 test-mlogloss:0.963331+0.028561
## [141] train-mlogloss:0.013566+0.000129 test-mlogloss:0.963939+0.028705
## [142] train-mlogloss:0.013498+0.000126 test-mlogloss:0.964681+0.029696
## [143] train-mlogloss:0.013427+0.000130 test-mlogloss:0.966394+0.029786
## [144] train-mlogloss:0.013365+0.000132 test-mlogloss:0.966636+0.030051
## [145] train-mlogloss:0.013307+0.000131 test-mlogloss:0.967201+0.030215
## [146] train-mlogloss:0.013239+0.000133 test-mlogloss:0.967901+0.029988
## [147] train-mlogloss:0.013172+0.000128 test-mlogloss:0.968698+0.029562
## [148] train-mlogloss:0.013106+0.000123 test-mlogloss:0.968705+0.029032
## [149] train-mlogloss:0.013046+0.000124 test-mlogloss:0.969506+0.028627
## [150] train-mlogloss:0.012984+0.000123 test-mlogloss:0.970382+0.028927
## [151] train-mlogloss:0.012923+0.000117 test-mlogloss:0.970976+0.029146
## [152] train-mlogloss:0.012862+0.000114 test-mlogloss:0.971391+0.028524
## [153] train-mlogloss:0.012806+0.000116 test-mlogloss:0.971810+0.028455
## [154] train-mlogloss:0.012749+0.000116 test-mlogloss:0.972345+0.028866
## [155] train-mlogloss:0.012691+0.000114 test-mlogloss:0.973112+0.028870
## [156] train-mlogloss:0.012628+0.000118 test-mlogloss:0.974656+0.029141
## [157] train-mlogloss:0.012566+0.000111 test-mlogloss:0.975387+0.029459
## [158] train-mlogloss:0.012509+0.000111 test-mlogloss:0.976233+0.029440
## [159] train-mlogloss:0.012460+0.000116 test-mlogloss:0.975528+0.029545
## [160] train-mlogloss:0.012399+0.000116 test-mlogloss:0.976881+0.029029
## [161] train-mlogloss:0.012345+0.000122 test-mlogloss:0.977423+0.028901
## [162] train-mlogloss:0.012291+0.000121 test-mlogloss:0.978788+0.028753
## [163] train-mlogloss:0.012236+0.000126 test-mlogloss:0.980078+0.028811
## [164] train-mlogloss:0.012182+0.000123 test-mlogloss:0.979834+0.028661
## [165] train-mlogloss:0.012136+0.000121 test-mlogloss:0.979748+0.029352
## [166] train-mlogloss:0.012081+0.000120 test-mlogloss:0.980812+0.029559
## [167] train-mlogloss:0.012029+0.000117 test-mlogloss:0.981306+0.030066
## [168] train-mlogloss:0.011980+0.000119 test-mlogloss:0.982230+0.029795
## [169] train-mlogloss:0.011926+0.000117 test-mlogloss:0.983055+0.029860
## [170] train-mlogloss:0.011883+0.000120 test-mlogloss:0.983298+0.029387
## [171] train-mlogloss:0.011832+0.000122 test-mlogloss:0.984104+0.029668
## [172] train-mlogloss:0.011781+0.000115 test-mlogloss:0.984340+0.029799
## [173] train-mlogloss:0.011737+0.000117 test-mlogloss:0.984792+0.030326
## [174] train-mlogloss:0.011691+0.000114 test-mlogloss:0.984747+0.029556
## [175] train-mlogloss:0.011648+0.000114 test-mlogloss:0.985677+0.030083
## [176] train-mlogloss:0.011600+0.000112 test-mlogloss:0.987603+0.030105
## [177] train-mlogloss:0.011554+0.000110 test-mlogloss:0.988307+0.030116
## [178] train-mlogloss:0.011509+0.000109 test-mlogloss:0.988647+0.029287
## [179] train-mlogloss:0.011467+0.000110 test-mlogloss:0.988858+0.029979
## [180] train-mlogloss:0.011427+0.000105 test-mlogloss:0.989560+0.029554
## [181] train-mlogloss:0.011383+0.000106 test-mlogloss:0.990433+0.029578
## [182] train-mlogloss:0.011340+0.000103 test-mlogloss:0.990755+0.029631
## [183] train-mlogloss:0.011300+0.000104 test-mlogloss:0.991930+0.029905
## [184] train-mlogloss:0.011262+0.000108 test-mlogloss:0.992853+0.029561
## [185] train-mlogloss:0.011219+0.000105 test-mlogloss:0.993960+0.029927
## [186] train-mlogloss:0.011178+0.000105 test-mlogloss:0.994495+0.029428
## [187] train-mlogloss:0.011141+0.000103 test-mlogloss:0.994429+0.030047
## [188] train-mlogloss:0.011103+0.000100 test-mlogloss:0.995438+0.030196
## [189] train-mlogloss:0.011067+0.000100 test-mlogloss:0.995672+0.029499
## [190] train-mlogloss:0.011029+0.000100 test-mlogloss:0.996164+0.029300
## [191] train-mlogloss:0.010989+0.000105 test-mlogloss:0.996665+0.029274
## [192] train-mlogloss:0.010952+0.000107 test-mlogloss:0.997411+0.030083
## [193] train-mlogloss:0.010915+0.000108 test-mlogloss:0.997857+0.030689
## [194] train-mlogloss:0.010880+0.000105 test-mlogloss:0.998500+0.030959
## [195] train-mlogloss:0.010842+0.000104 test-mlogloss:0.999129+0.030601
## [196] train-mlogloss:0.010801+0.000105 test-mlogloss:0.999309+0.030540
## [197] train-mlogloss:0.010768+0.000105 test-mlogloss:0.999994+0.030581
## [198] train-mlogloss:0.010735+0.000104 test-mlogloss:1.000379+0.031283
## [199] train-mlogloss:0.010699+0.000104 test-mlogloss:1.001139+0.030707
## [200] train-mlogloss:0.010658+0.000101 test-mlogloss:1.000765+0.030549
## [201] train-mlogloss:0.010628+0.000103 test-mlogloss:1.001029+0.030542
## [202] train-mlogloss:0.010595+0.000102 test-mlogloss:1.001614+0.031312
## [203] train-mlogloss:0.010559+0.000101 test-mlogloss:1.001413+0.031314
## [204] train-mlogloss:0.010524+0.000103 test-mlogloss:1.002006+0.031222
## [205] train-mlogloss:0.010495+0.000103 test-mlogloss:1.001898+0.031244
## [206] train-mlogloss:0.010462+0.000104 test-mlogloss:1.002877+0.030870
## [207] train-mlogloss:0.010428+0.000109 test-mlogloss:1.003585+0.031169
## [208] train-mlogloss:0.010390+0.000106 test-mlogloss:1.003606+0.031050
## [209] train-mlogloss:0.010356+0.000103 test-mlogloss:1.004621+0.031386
## [210] train-mlogloss:0.010320+0.000105 test-mlogloss:1.005705+0.031646
## [211] train-mlogloss:0.010285+0.000106 test-mlogloss:1.006117+0.031765
## [212] train-mlogloss:0.010255+0.000104 test-mlogloss:1.007245+0.031972
## [213] train-mlogloss:0.010226+0.000104 test-mlogloss:1.006367+0.031970
## [214] train-mlogloss:0.010198+0.000100 test-mlogloss:1.007605+0.032364
## [215] train-mlogloss:0.010164+0.000098 test-mlogloss:1.007923+0.031849
## [216] train-mlogloss:0.010132+0.000099 test-mlogloss:1.009305+0.031065
## [217] train-mlogloss:0.010102+0.000095 test-mlogloss:1.009501+0.031241
## [218] train-mlogloss:0.010076+0.000095 test-mlogloss:1.009446+0.031077
## [219] train-mlogloss:0.010049+0.000096 test-mlogloss:1.009570+0.030575
## [220] train-mlogloss:0.010022+0.000094 test-mlogloss:1.011073+0.030763
## [221] train-mlogloss:0.009991+0.000091 test-mlogloss:1.011105+0.030817
## [222] train-mlogloss:0.009962+0.000093 test-mlogloss:1.011547+0.030864
## [223] train-mlogloss:0.009931+0.000094 test-mlogloss:1.012328+0.030931
## [224] train-mlogloss:0.009900+0.000094 test-mlogloss:1.013065+0.030947
## [225] train-mlogloss:0.009875+0.000095 test-mlogloss:1.013731+0.031424
## [226] train-mlogloss:0.009850+0.000095 test-mlogloss:1.014160+0.031015
## [227] train-mlogloss:0.009820+0.000093 test-mlogloss:1.014595+0.031387
## [228] train-mlogloss:0.009794+0.000095 test-mlogloss:1.014616+0.031722
## [229] train-mlogloss:0.009763+0.000097 test-mlogloss:1.015846+0.031331
## [230] train-mlogloss:0.009732+0.000095 test-mlogloss:1.016137+0.030932
## [231] train-mlogloss:0.009704+0.000094 test-mlogloss:1.016865+0.030536
## [232] train-mlogloss:0.009678+0.000093 test-mlogloss:1.016299+0.030511
## [233] train-mlogloss:0.009650+0.000092 test-mlogloss:1.017067+0.029656
## [234] train-mlogloss:0.009621+0.000091 test-mlogloss:1.018188+0.029755
## [235] train-mlogloss:0.009595+0.000090 test-mlogloss:1.018343+0.030139
## [236] train-mlogloss:0.009568+0.000090 test-mlogloss:1.017952+0.029644
## [237] train-mlogloss:0.009546+0.000089 test-mlogloss:1.018324+0.030228
## [238] train-mlogloss:0.009522+0.000085 test-mlogloss:1.019209+0.031112
## [239] train-mlogloss:0.009496+0.000087 test-mlogloss:1.019168+0.030711
## [240] train-mlogloss:0.009470+0.000084 test-mlogloss:1.019868+0.030318
## [241] train-mlogloss:0.009440+0.000085 test-mlogloss:1.020429+0.030593
## [242] train-mlogloss:0.009417+0.000083 test-mlogloss:1.020934+0.031099
## [243] train-mlogloss:0.009393+0.000086 test-mlogloss:1.021581+0.030390
## [244] train-mlogloss:0.009367+0.000083 test-mlogloss:1.022349+0.030997
## [245] train-mlogloss:0.009344+0.000079 test-mlogloss:1.022661+0.030959
## [246] train-mlogloss:0.009323+0.000076 test-mlogloss:1.023204+0.031106
## [247] train-mlogloss:0.009301+0.000078 test-mlogloss:1.023640+0.031142
## [248] train-mlogloss:0.009280+0.000079 test-mlogloss:1.023268+0.030658
## [249] train-mlogloss:0.009256+0.000078 test-mlogloss:1.024490+0.031108
## [250] train-mlogloss:0.009228+0.000084 test-mlogloss:1.024327+0.031248
## [251] train-mlogloss:0.009208+0.000085 test-mlogloss:1.024407+0.031132
## [252] train-mlogloss:0.009181+0.000085 test-mlogloss:1.024939+0.032294
## [253] train-mlogloss:0.009159+0.000085 test-mlogloss:1.025105+0.032237
## [254] train-mlogloss:0.009139+0.000086 test-mlogloss:1.025727+0.032380
## [255] train-mlogloss:0.009117+0.000086 test-mlogloss:1.025850+0.032136
## [256] train-mlogloss:0.009098+0.000086 test-mlogloss:1.026626+0.032060
## [257] train-mlogloss:0.009074+0.000085 test-mlogloss:1.027137+0.032544
## [258] train-mlogloss:0.009054+0.000081 test-mlogloss:1.027637+0.032851
## [259] train-mlogloss:0.009032+0.000079 test-mlogloss:1.028290+0.032677
## [260] train-mlogloss:0.009010+0.000078 test-mlogloss:1.029104+0.032866
## [261] train-mlogloss:0.008988+0.000076 test-mlogloss:1.029054+0.032704
## [262] train-mlogloss:0.008966+0.000074 test-mlogloss:1.028864+0.032716
## [263] train-mlogloss:0.008942+0.000075 test-mlogloss:1.028759+0.032892
## [264] train-mlogloss:0.008922+0.000075 test-mlogloss:1.029593+0.032851
## [265] train-mlogloss:0.008899+0.000078 test-mlogloss:1.029990+0.032908
## [266] train-mlogloss:0.008879+0.000078 test-mlogloss:1.029939+0.032839
## [267] train-mlogloss:0.008860+0.000077 test-mlogloss:1.030556+0.032754
## [268] train-mlogloss:0.008841+0.000074 test-mlogloss:1.031614+0.032929
## [269] train-mlogloss:0.008819+0.000073 test-mlogloss:1.031850+0.033254
## [270] train-mlogloss:0.008800+0.000073 test-mlogloss:1.031946+0.033622
## [271] train-mlogloss:0.008777+0.000073 test-mlogloss:1.031943+0.033046
## [272] train-mlogloss:0.008758+0.000070 test-mlogloss:1.033158+0.032712
## [273] train-mlogloss:0.008737+0.000069 test-mlogloss:1.034032+0.033202
## [274] train-mlogloss:0.008719+0.000071 test-mlogloss:1.034330+0.033265
## [275] train-mlogloss:0.008700+0.000070 test-mlogloss:1.034531+0.033277
## [276] train-mlogloss:0.008680+0.000070 test-mlogloss:1.034911+0.033741
## [277] train-mlogloss:0.008663+0.000070 test-mlogloss:1.035466+0.034018
## [278] train-mlogloss:0.008645+0.000068 test-mlogloss:1.035969+0.033598
## [279] train-mlogloss:0.008628+0.000068 test-mlogloss:1.036045+0.033683
## [280] train-mlogloss:0.008608+0.000066 test-mlogloss:1.036122+0.034073
## [281] train-mlogloss:0.008591+0.000065 test-mlogloss:1.036471+0.034021
## [282] train-mlogloss:0.008573+0.000064 test-mlogloss:1.036823+0.033717
## [283] train-mlogloss:0.008557+0.000065 test-mlogloss:1.037557+0.034186
## [284] train-mlogloss:0.008538+0.000061 test-mlogloss:1.037709+0.034280
## [285] train-mlogloss:0.008521+0.000061 test-mlogloss:1.038688+0.035652
## [286] train-mlogloss:0.008504+0.000060 test-mlogloss:1.039726+0.035455
## [287] train-mlogloss:0.008486+0.000058 test-mlogloss:1.040124+0.035065
## [288] train-mlogloss:0.008467+0.000059 test-mlogloss:1.039659+0.034852
## [289] train-mlogloss:0.008450+0.000061 test-mlogloss:1.039790+0.035593
## [290] train-mlogloss:0.008434+0.000059 test-mlogloss:1.039603+0.035178
## [291] train-mlogloss:0.008416+0.000059 test-mlogloss:1.040492+0.035222
## [292] train-mlogloss:0.008402+0.000059 test-mlogloss:1.041481+0.034791
## [293] train-mlogloss:0.008386+0.000058 test-mlogloss:1.041493+0.034945
## [294] train-mlogloss:0.008368+0.000058 test-mlogloss:1.042043+0.034365
## [295] train-mlogloss:0.008351+0.000059 test-mlogloss:1.041915+0.034781
## [296] train-mlogloss:0.008335+0.000060 test-mlogloss:1.042174+0.035056
## [297] train-mlogloss:0.008319+0.000063 test-mlogloss:1.042729+0.034796
## [298] train-mlogloss:0.008303+0.000063 test-mlogloss:1.043194+0.034703
## [299] train-mlogloss:0.008284+0.000062 test-mlogloss:1.044099+0.034462
## [300] train-mlogloss:0.008267+0.000062 test-mlogloss:1.044459+0.034149
## [301] train-mlogloss:0.008249+0.000062 test-mlogloss:1.044355+0.033570
## [302] train-mlogloss:0.008233+0.000060 test-mlogloss:1.044842+0.033067
## [303] train-mlogloss:0.008217+0.000058 test-mlogloss:1.045796+0.033442
## [304] train-mlogloss:0.008200+0.000057 test-mlogloss:1.045622+0.033406
## [305] train-mlogloss:0.008185+0.000059 test-mlogloss:1.045766+0.033781
## [306] train-mlogloss:0.008167+0.000060 test-mlogloss:1.046532+0.033989
## [307] train-mlogloss:0.008151+0.000062 test-mlogloss:1.047142+0.034234
## [308] train-mlogloss:0.008135+0.000062 test-mlogloss:1.047740+0.033625
## [309] train-mlogloss:0.008121+0.000060 test-mlogloss:1.048088+0.034374
## [310] train-mlogloss:0.008102+0.000062 test-mlogloss:1.048886+0.033291
## [311] train-mlogloss:0.008088+0.000062 test-mlogloss:1.048828+0.033152
## [312] train-mlogloss:0.008074+0.000062 test-mlogloss:1.048869+0.034071
## [313] train-mlogloss:0.008056+0.000061 test-mlogloss:1.049492+0.033992
## [314] train-mlogloss:0.008041+0.000062 test-mlogloss:1.050379+0.034454
## [315] train-mlogloss:0.008025+0.000064 test-mlogloss:1.050709+0.034473
## [316] train-mlogloss:0.008008+0.000063 test-mlogloss:1.050034+0.033839
## [317] train-mlogloss:0.007994+0.000061 test-mlogloss:1.050135+0.033914
## [318] train-mlogloss:0.007976+0.000059 test-mlogloss:1.050562+0.033859
## [319] train-mlogloss:0.007962+0.000057 test-mlogloss:1.051353+0.033532
## [320] train-mlogloss:0.007948+0.000057 test-mlogloss:1.051148+0.033342
## [321] train-mlogloss:0.007933+0.000058 test-mlogloss:1.051397+0.033293
## [322] train-mlogloss:0.007916+0.000055 test-mlogloss:1.051837+0.032966
## [323] train-mlogloss:0.007901+0.000053 test-mlogloss:1.051902+0.032918
## [324] train-mlogloss:0.007886+0.000052 test-mlogloss:1.052832+0.033302
## [325] train-mlogloss:0.007872+0.000052 test-mlogloss:1.053597+0.032823
## [326] train-mlogloss:0.007855+0.000055 test-mlogloss:1.054235+0.033044
## [327] train-mlogloss:0.007839+0.000053 test-mlogloss:1.054771+0.033333
## [328] train-mlogloss:0.007825+0.000054 test-mlogloss:1.054346+0.033841
## [329] train-mlogloss:0.007813+0.000052 test-mlogloss:1.054523+0.033926
## [330] train-mlogloss:0.007799+0.000052 test-mlogloss:1.054492+0.033873
## [331] train-mlogloss:0.007787+0.000053 test-mlogloss:1.054718+0.033870
## [332] train-mlogloss:0.007773+0.000052 test-mlogloss:1.054949+0.034612
## [333] train-mlogloss:0.007759+0.000052 test-mlogloss:1.054788+0.034624
## [334] train-mlogloss:0.007745+0.000053 test-mlogloss:1.055011+0.034652
## [335] train-mlogloss:0.007732+0.000053 test-mlogloss:1.054857+0.034095
## [336] train-mlogloss:0.007720+0.000054 test-mlogloss:1.055102+0.034828
## [337] train-mlogloss:0.007708+0.000054 test-mlogloss:1.055731+0.034594
## [338] train-mlogloss:0.007694+0.000053 test-mlogloss:1.056572+0.034299
## [339] train-mlogloss:0.007680+0.000054 test-mlogloss:1.056329+0.034441
## [340] train-mlogloss:0.007663+0.000055 test-mlogloss:1.056482+0.034541
## [341] train-mlogloss:0.007650+0.000056 test-mlogloss:1.056264+0.034908
## [342] train-mlogloss:0.007638+0.000054 test-mlogloss:1.056597+0.035237
## [343] train-mlogloss:0.007624+0.000055 test-mlogloss:1.056752+0.034546
## [344] train-mlogloss:0.007610+0.000056 test-mlogloss:1.057298+0.035193
## [345] train-mlogloss:0.007595+0.000056 test-mlogloss:1.057523+0.035315
## [346] train-mlogloss:0.007582+0.000059 test-mlogloss:1.057928+0.035030
## [347] train-mlogloss:0.007569+0.000061 test-mlogloss:1.058128+0.035291
## [348] train-mlogloss:0.007555+0.000060 test-mlogloss:1.058815+0.035262
## [349] train-mlogloss:0.007539+0.000059 test-mlogloss:1.059082+0.035201
## [350] train-mlogloss:0.007525+0.000060 test-mlogloss:1.059578+0.035399
## [351] train-mlogloss:0.007513+0.000060 test-mlogloss:1.060080+0.035548
## [352] train-mlogloss:0.007498+0.000059 test-mlogloss:1.060115+0.035886
## [353] train-mlogloss:0.007485+0.000061 test-mlogloss:1.059610+0.035785
## [354] train-mlogloss:0.007472+0.000061 test-mlogloss:1.060110+0.036038
## [355] train-mlogloss:0.007459+0.000062 test-mlogloss:1.061351+0.035792
## [356] train-mlogloss:0.007446+0.000060 test-mlogloss:1.060757+0.035894
## [357] train-mlogloss:0.007433+0.000059 test-mlogloss:1.061215+0.036782
## [358] train-mlogloss:0.007422+0.000059 test-mlogloss:1.061713+0.036394
## [359] train-mlogloss:0.007409+0.000059 test-mlogloss:1.062296+0.036556
## [360] train-mlogloss:0.007399+0.000060 test-mlogloss:1.062377+0.036216
## [361] train-mlogloss:0.007387+0.000060 test-mlogloss:1.062774+0.036027
## [362] train-mlogloss:0.007375+0.000059 test-mlogloss:1.063008+0.035445
## [363] train-mlogloss:0.007362+0.000057 test-mlogloss:1.063363+0.035941
## [364] train-mlogloss:0.007349+0.000058 test-mlogloss:1.064206+0.035941
## [365] train-mlogloss:0.007338+0.000059 test-mlogloss:1.064037+0.035970
## [366] train-mlogloss:0.007325+0.000059 test-mlogloss:1.064161+0.036053
## [367] train-mlogloss:0.007313+0.000060 test-mlogloss:1.064350+0.036306
## [368] train-mlogloss:0.007304+0.000060 test-mlogloss:1.064107+0.035973
## [369] train-mlogloss:0.007292+0.000060 test-mlogloss:1.064412+0.035609
## [370] train-mlogloss:0.007281+0.000061 test-mlogloss:1.064847+0.035884
## [371] train-mlogloss:0.007269+0.000061 test-mlogloss:1.065532+0.035479
## [372] train-mlogloss:0.007256+0.000059 test-mlogloss:1.065576+0.035728
## [373] train-mlogloss:0.007245+0.000060 test-mlogloss:1.065792+0.035970
## [374] train-mlogloss:0.007233+0.000060 test-mlogloss:1.065721+0.035371
## [375] train-mlogloss:0.007223+0.000059 test-mlogloss:1.065821+0.035543
## [376] train-mlogloss:0.007211+0.000059 test-mlogloss:1.065595+0.035073
## [377] train-mlogloss:0.007200+0.000058 test-mlogloss:1.066748+0.035755
## [378] train-mlogloss:0.007190+0.000057 test-mlogloss:1.067355+0.035128
## [379] train-mlogloss:0.007177+0.000057 test-mlogloss:1.067551+0.034859
## [380] train-mlogloss:0.007166+0.000057 test-mlogloss:1.067545+0.035082
## [381] train-mlogloss:0.007154+0.000057 test-mlogloss:1.067325+0.035063
## [382] train-mlogloss:0.007145+0.000057 test-mlogloss:1.067149+0.035516
## [383] train-mlogloss:0.007134+0.000058 test-mlogloss:1.067718+0.035873
## [384] train-mlogloss:0.007123+0.000056 test-mlogloss:1.068251+0.036151
## [385] train-mlogloss:0.007110+0.000058 test-mlogloss:1.067519+0.035969
## [386] train-mlogloss:0.007098+0.000057 test-mlogloss:1.067997+0.035894
## [387] train-mlogloss:0.007090+0.000058 test-mlogloss:1.068764+0.036771
## [388] train-mlogloss:0.007078+0.000056 test-mlogloss:1.069398+0.036827
## [389] train-mlogloss:0.007069+0.000056 test-mlogloss:1.069571+0.036613
## [390] train-mlogloss:0.007059+0.000055 test-mlogloss:1.069255+0.036071
## [391] train-mlogloss:0.007049+0.000053 test-mlogloss:1.069500+0.036231
## [392] train-mlogloss:0.007037+0.000053 test-mlogloss:1.069570+0.036795
## [393] train-mlogloss:0.007028+0.000053 test-mlogloss:1.069932+0.037054
## [394] train-mlogloss:0.007016+0.000053 test-mlogloss:1.069652+0.036842
## [395] train-mlogloss:0.007006+0.000055 test-mlogloss:1.069350+0.036480
## [396] train-mlogloss:0.006996+0.000055 test-mlogloss:1.069684+0.036477
## [397] train-mlogloss:0.006988+0.000056 test-mlogloss:1.069640+0.036655
## [398] train-mlogloss:0.006977+0.000055 test-mlogloss:1.070050+0.036991
## [399] train-mlogloss:0.006967+0.000055 test-mlogloss:1.070737+0.036524
## [400] train-mlogloss:0.006958+0.000055 test-mlogloss:1.070627+0.036100
## [401] train-mlogloss:0.006948+0.000054 test-mlogloss:1.070733+0.036373
## [402] train-mlogloss:0.006937+0.000053 test-mlogloss:1.071082+0.036536
## [403] train-mlogloss:0.006928+0.000052 test-mlogloss:1.071210+0.036370
## [404] train-mlogloss:0.006918+0.000052 test-mlogloss:1.071654+0.036099
## [405] train-mlogloss:0.006910+0.000053 test-mlogloss:1.071826+0.036077
## [406] train-mlogloss:0.006900+0.000053 test-mlogloss:1.071976+0.036584
## [407] train-mlogloss:0.006891+0.000051 test-mlogloss:1.071754+0.036338
## [408] train-mlogloss:0.006882+0.000052 test-mlogloss:1.071824+0.036213
## [409] train-mlogloss:0.006872+0.000053 test-mlogloss:1.072705+0.036438
## [410] train-mlogloss:0.006864+0.000053 test-mlogloss:1.072724+0.036471
## [411] train-mlogloss:0.006854+0.000052 test-mlogloss:1.071846+0.036704
## [412] train-mlogloss:0.006845+0.000052 test-mlogloss:1.072997+0.036920
## [413] train-mlogloss:0.006836+0.000051 test-mlogloss:1.073421+0.036989
## [414] train-mlogloss:0.006826+0.000053 test-mlogloss:1.073589+0.036936
## [415] train-mlogloss:0.006817+0.000053 test-mlogloss:1.074161+0.036682
## [416] train-mlogloss:0.006809+0.000053 test-mlogloss:1.074552+0.037457
## [417] train-mlogloss:0.006799+0.000053 test-mlogloss:1.074889+0.037479
## [418] train-mlogloss:0.006789+0.000052 test-mlogloss:1.074537+0.037255
## [419] train-mlogloss:0.006781+0.000052 test-mlogloss:1.074178+0.037251
## [420] train-mlogloss:0.006771+0.000054 test-mlogloss:1.074693+0.037320
## [421] train-mlogloss:0.006761+0.000054 test-mlogloss:1.075088+0.037157
## [422] train-mlogloss:0.006751+0.000056 test-mlogloss:1.075419+0.036861
## [423] train-mlogloss:0.006741+0.000055 test-mlogloss:1.075800+0.036571
## [424] train-mlogloss:0.006732+0.000053 test-mlogloss:1.075733+0.036614
## [425] train-mlogloss:0.006724+0.000053 test-mlogloss:1.075874+0.036981
## [426] train-mlogloss:0.006715+0.000054 test-mlogloss:1.075771+0.036861
## [427] train-mlogloss:0.006706+0.000055 test-mlogloss:1.076043+0.036904
## [428] train-mlogloss:0.006696+0.000057 test-mlogloss:1.076523+0.036559
## [429] train-mlogloss:0.006687+0.000059 test-mlogloss:1.077048+0.036666
## [430] train-mlogloss:0.006678+0.000060 test-mlogloss:1.077070+0.037385
## [431] train-mlogloss:0.006670+0.000062 test-mlogloss:1.076931+0.037111
## [432] train-mlogloss:0.006662+0.000062 test-mlogloss:1.077984+0.037058
## [433] train-mlogloss:0.006654+0.000061 test-mlogloss:1.077634+0.036998
## [434] train-mlogloss:0.006646+0.000060 test-mlogloss:1.077829+0.037290
## [435] train-mlogloss:0.006637+0.000061 test-mlogloss:1.078726+0.037578
## [436] train-mlogloss:0.006630+0.000062 test-mlogloss:1.078845+0.037304
## [437] train-mlogloss:0.006621+0.000061 test-mlogloss:1.078621+0.037201
## [438] train-mlogloss:0.006612+0.000062 test-mlogloss:1.079014+0.036996
## [439] train-mlogloss:0.006602+0.000061 test-mlogloss:1.078737+0.037422
## [440] train-mlogloss:0.006594+0.000059 test-mlogloss:1.079337+0.037089
## [441] train-mlogloss:0.006587+0.000061 test-mlogloss:1.079609+0.036852
## [442] train-mlogloss:0.006579+0.000059 test-mlogloss:1.079945+0.036658
## [443] train-mlogloss:0.006570+0.000060 test-mlogloss:1.079937+0.036972
## [444] train-mlogloss:0.006561+0.000060 test-mlogloss:1.079889+0.037113
## [445] train-mlogloss:0.006552+0.000059 test-mlogloss:1.079972+0.037140
## [446] train-mlogloss:0.006544+0.000061 test-mlogloss:1.080660+0.036985
## [447] train-mlogloss:0.006536+0.000062 test-mlogloss:1.080548+0.036903
## [448] train-mlogloss:0.006528+0.000062 test-mlogloss:1.081221+0.036794
## [449] train-mlogloss:0.006520+0.000063 test-mlogloss:1.081763+0.037022
## [450] train-mlogloss:0.006513+0.000063 test-mlogloss:1.081994+0.037260
## [451] train-mlogloss:0.006505+0.000065 test-mlogloss:1.082274+0.037584
## [452] train-mlogloss:0.006498+0.000063 test-mlogloss:1.082024+0.037360
## [453] train-mlogloss:0.006491+0.000063 test-mlogloss:1.082377+0.037509
## [454] train-mlogloss:0.006484+0.000062 test-mlogloss:1.082091+0.037386
## [455] train-mlogloss:0.006477+0.000064 test-mlogloss:1.082297+0.037663
## [456] train-mlogloss:0.006469+0.000063 test-mlogloss:1.082885+0.036900
## [457] train-mlogloss:0.006460+0.000062 test-mlogloss:1.082912+0.036616
## [458] train-mlogloss:0.006453+0.000063 test-mlogloss:1.083584+0.036860
## [459] train-mlogloss:0.006444+0.000062 test-mlogloss:1.083217+0.036908
## [460] train-mlogloss:0.006437+0.000061 test-mlogloss:1.083548+0.037093
## [461] train-mlogloss:0.006429+0.000060 test-mlogloss:1.083845+0.037201
## [462] train-mlogloss:0.006421+0.000060 test-mlogloss:1.084152+0.037070
## [463] train-mlogloss:0.006414+0.000060 test-mlogloss:1.084109+0.037043
## [464] train-mlogloss:0.006405+0.000059 test-mlogloss:1.084677+0.036602
## [465] train-mlogloss:0.006398+0.000057 test-mlogloss:1.085331+0.036797
## [466] train-mlogloss:0.006389+0.000058 test-mlogloss:1.085575+0.037498
## [467] train-mlogloss:0.006381+0.000056 test-mlogloss:1.085603+0.037181
## [468] train-mlogloss:0.006375+0.000057 test-mlogloss:1.085195+0.037320
## [469] train-mlogloss:0.006369+0.000058 test-mlogloss:1.085224+0.037572
## [470] train-mlogloss:0.006363+0.000056 test-mlogloss:1.085693+0.038059
## [471] train-mlogloss:0.006355+0.000056 test-mlogloss:1.085530+0.038011
## [472] train-mlogloss:0.006347+0.000056 test-mlogloss:1.086026+0.038105
## [473] train-mlogloss:0.006339+0.000056 test-mlogloss:1.086807+0.038227
## [474] train-mlogloss:0.006331+0.000058 test-mlogloss:1.086969+0.038419
## [475] train-mlogloss:0.006323+0.000056 test-mlogloss:1.086819+0.038097
## [476] train-mlogloss:0.006316+0.000056 test-mlogloss:1.087017+0.038074
## [477] train-mlogloss:0.006307+0.000055 test-mlogloss:1.087842+0.038185
## [478] train-mlogloss:0.006299+0.000053 test-mlogloss:1.087939+0.038056
## [479] train-mlogloss:0.006292+0.000054 test-mlogloss:1.087891+0.038229
## [480] train-mlogloss:0.006285+0.000054 test-mlogloss:1.087310+0.038080
## [481] train-mlogloss:0.006279+0.000053 test-mlogloss:1.087216+0.038245
## [482] train-mlogloss:0.006269+0.000054 test-mlogloss:1.087469+0.038062
## [483] train-mlogloss:0.006263+0.000055 test-mlogloss:1.088112+0.038290
## [484] train-mlogloss:0.006255+0.000055 test-mlogloss:1.088409+0.038418
## [485] train-mlogloss:0.006248+0.000054 test-mlogloss:1.088668+0.038253
## [486] train-mlogloss:0.006242+0.000052 test-mlogloss:1.088658+0.038394
## [487] train-mlogloss:0.006236+0.000052 test-mlogloss:1.088908+0.038971
## [488] train-mlogloss:0.006229+0.000052 test-mlogloss:1.089360+0.038715
## [489] train-mlogloss:0.006221+0.000051 test-mlogloss:1.089008+0.038663
## [490] train-mlogloss:0.006214+0.000051 test-mlogloss:1.089692+0.038661
## [491] train-mlogloss:0.006207+0.000052 test-mlogloss:1.090024+0.038785
## [492] train-mlogloss:0.006200+0.000052 test-mlogloss:1.090302+0.038637
## [493] train-mlogloss:0.006194+0.000051 test-mlogloss:1.090594+0.038796
## [494] train-mlogloss:0.006188+0.000050 test-mlogloss:1.090540+0.038727
## [495] train-mlogloss:0.006182+0.000050 test-mlogloss:1.090480+0.038412
## [496] train-mlogloss:0.006175+0.000049 test-mlogloss:1.090663+0.038693
## [497] train-mlogloss:0.006170+0.000049 test-mlogloss:1.090807+0.038760
## [498] train-mlogloss:0.006162+0.000049 test-mlogloss:1.091544+0.038657
## [499] train-mlogloss:0.006155+0.000049 test-mlogloss:1.091603+0.038998
## [500] train-mlogloss:0.006147+0.000050 test-mlogloss:1.091749+0.039050
## [1] train-mlogloss:0.527769+0.004119 test-mlogloss:0.550559+0.010794
## [2] train-mlogloss:0.504581+0.002934 test-mlogloss:0.543895+0.009426
## [3] train-mlogloss:0.494266+0.002877 test-mlogloss:0.546241+0.009936
## [4] train-mlogloss:0.486686+0.004556 test-mlogloss:0.547893+0.010927
## [5] train-mlogloss:0.479553+0.006499 test-mlogloss:0.550635+0.013731
## [6] train-mlogloss:0.471050+0.005440 test-mlogloss:0.553013+0.012744
## [7] train-mlogloss:0.461781+0.003520 test-mlogloss:0.556496+0.012292
## [8] train-mlogloss:0.452729+0.002034 test-mlogloss:0.562244+0.012742
## [9] train-mlogloss:0.446229+0.004483 test-mlogloss:0.564572+0.013736
## [10] train-mlogloss:0.439108+0.005232 test-mlogloss:0.569304+0.014077
## [11] train-mlogloss:0.432585+0.005506 test-mlogloss:0.572559+0.015985
## [12] train-mlogloss:0.425522+0.005771 test-mlogloss:0.575577+0.016083
## [13] train-mlogloss:0.419264+0.006182 test-mlogloss:0.580231+0.017128
## [14] train-mlogloss:0.413049+0.005572 test-mlogloss:0.582012+0.017701
## [15] train-mlogloss:0.406826+0.005263 test-mlogloss:0.587616+0.016329
## [16] train-mlogloss:0.399059+0.004989 test-mlogloss:0.590473+0.014987
## [17] train-mlogloss:0.392152+0.004630 test-mlogloss:0.592430+0.016284
## [18] train-mlogloss:0.386009+0.004681 test-mlogloss:0.597549+0.015234
## [19] train-mlogloss:0.380952+0.005270 test-mlogloss:0.601156+0.015275
## [20] train-mlogloss:0.374858+0.003297 test-mlogloss:0.605577+0.014593
## [21] train-mlogloss:0.369855+0.002788 test-mlogloss:0.609106+0.014021
## [22] train-mlogloss:0.364717+0.003169 test-mlogloss:0.611297+0.012629
## [23] train-mlogloss:0.359587+0.003334 test-mlogloss:0.612880+0.011652
## [24] train-mlogloss:0.354436+0.002817 test-mlogloss:0.616043+0.012345
## [25] train-mlogloss:0.348360+0.002353 test-mlogloss:0.617606+0.013309
## [26] train-mlogloss:0.341965+0.003601 test-mlogloss:0.621552+0.013437
## [27] train-mlogloss:0.336287+0.002504 test-mlogloss:0.624458+0.012071
## [28] train-mlogloss:0.330921+0.001453 test-mlogloss:0.626566+0.012989
## [29] train-mlogloss:0.325465+0.002064 test-mlogloss:0.627766+0.014366
## [30] train-mlogloss:0.320379+0.001554 test-mlogloss:0.630075+0.014985
## [31] train-mlogloss:0.316382+0.002001 test-mlogloss:0.632591+0.016003
## [32] train-mlogloss:0.311761+0.002323 test-mlogloss:0.633830+0.017428
## [33] train-mlogloss:0.306958+0.002828 test-mlogloss:0.638194+0.017116
## [34] train-mlogloss:0.303171+0.002760 test-mlogloss:0.640255+0.017134
## [35] train-mlogloss:0.298866+0.003312 test-mlogloss:0.642118+0.017560
## [36] train-mlogloss:0.293884+0.004127 test-mlogloss:0.644247+0.018349
## [37] train-mlogloss:0.290592+0.004387 test-mlogloss:0.647065+0.018890
## [38] train-mlogloss:0.286464+0.004317 test-mlogloss:0.649369+0.017889
## [39] train-mlogloss:0.282115+0.005297 test-mlogloss:0.651505+0.016192
## [40] train-mlogloss:0.278475+0.005727 test-mlogloss:0.653642+0.017910
## [41] train-mlogloss:0.274458+0.006827 test-mlogloss:0.653534+0.017592
## [42] train-mlogloss:0.270195+0.006528 test-mlogloss:0.656034+0.018058
## [43] train-mlogloss:0.266400+0.005430 test-mlogloss:0.657420+0.018298
## [44] train-mlogloss:0.263381+0.005472 test-mlogloss:0.658744+0.019350
## [45] train-mlogloss:0.260131+0.005536 test-mlogloss:0.661386+0.020333
## [46] train-mlogloss:0.255890+0.005451 test-mlogloss:0.663123+0.020758
## [47] train-mlogloss:0.251678+0.005377 test-mlogloss:0.664807+0.019304
## [48] train-mlogloss:0.247307+0.005218 test-mlogloss:0.668036+0.020374
## [49] train-mlogloss:0.243464+0.004892 test-mlogloss:0.672491+0.019863
## [50] train-mlogloss:0.239869+0.005604 test-mlogloss:0.675729+0.020297
## [51] train-mlogloss:0.236371+0.004911 test-mlogloss:0.676215+0.018863
## [52] train-mlogloss:0.232755+0.004741 test-mlogloss:0.680717+0.018743
## [53] train-mlogloss:0.229912+0.005336 test-mlogloss:0.683945+0.017731
## [54] train-mlogloss:0.226411+0.005586 test-mlogloss:0.686739+0.016980
## [55] train-mlogloss:0.223392+0.006051 test-mlogloss:0.689737+0.016116
## [56] train-mlogloss:0.219692+0.005421 test-mlogloss:0.690872+0.015513
## [57] train-mlogloss:0.216420+0.005444 test-mlogloss:0.692533+0.014158
## [58] train-mlogloss:0.213111+0.004467 test-mlogloss:0.694673+0.016111
## [59] train-mlogloss:0.209971+0.005083 test-mlogloss:0.695341+0.017122
## [60] train-mlogloss:0.207278+0.004751 test-mlogloss:0.698594+0.017411
## [61] train-mlogloss:0.204484+0.004548 test-mlogloss:0.700019+0.016918
## [62] train-mlogloss:0.201577+0.004762 test-mlogloss:0.701530+0.016430
## [63] train-mlogloss:0.199021+0.004891 test-mlogloss:0.703338+0.017323
## [64] train-mlogloss:0.196303+0.004606 test-mlogloss:0.705964+0.017913
## [65] train-mlogloss:0.193573+0.004398 test-mlogloss:0.707863+0.017094
## [66] train-mlogloss:0.191081+0.004609 test-mlogloss:0.709508+0.017371
## [67] train-mlogloss:0.188719+0.004499 test-mlogloss:0.711784+0.018122
## [68] train-mlogloss:0.186127+0.004889 test-mlogloss:0.716179+0.020603
## [69] train-mlogloss:0.183367+0.005318 test-mlogloss:0.719272+0.019857
## [70] train-mlogloss:0.180960+0.005797 test-mlogloss:0.722141+0.017837
## [71] train-mlogloss:0.178073+0.006109 test-mlogloss:0.722165+0.018884
## [72] train-mlogloss:0.175647+0.005826 test-mlogloss:0.722920+0.018172
## [73] train-mlogloss:0.173301+0.004993 test-mlogloss:0.724339+0.017406
## [74] train-mlogloss:0.170634+0.004733 test-mlogloss:0.727352+0.018351
## [75] train-mlogloss:0.168145+0.004433 test-mlogloss:0.729744+0.018203
## [76] train-mlogloss:0.165326+0.004480 test-mlogloss:0.730269+0.018336
## [77] train-mlogloss:0.163204+0.004742 test-mlogloss:0.732546+0.018482
## [78] train-mlogloss:0.160861+0.004590 test-mlogloss:0.736328+0.020559
## [79] train-mlogloss:0.158751+0.004931 test-mlogloss:0.740110+0.021337
## [80] train-mlogloss:0.156374+0.005421 test-mlogloss:0.742951+0.020344
## [81] train-mlogloss:0.154255+0.005087 test-mlogloss:0.744693+0.020193
## [82] train-mlogloss:0.152315+0.005123 test-mlogloss:0.747284+0.018774
## [83] train-mlogloss:0.150863+0.005102 test-mlogloss:0.748474+0.018398
## [84] train-mlogloss:0.148706+0.005100 test-mlogloss:0.751170+0.018935
## [85] train-mlogloss:0.147112+0.004543 test-mlogloss:0.752534+0.018443
## [86] train-mlogloss:0.145203+0.004422 test-mlogloss:0.755511+0.019353
## [87] train-mlogloss:0.143199+0.004185 test-mlogloss:0.756423+0.018212
## [88] train-mlogloss:0.141405+0.004389 test-mlogloss:0.759098+0.018443
## [89] train-mlogloss:0.139130+0.004578 test-mlogloss:0.760770+0.018644
## [90] train-mlogloss:0.137649+0.004630 test-mlogloss:0.762024+0.017319
## [91] train-mlogloss:0.135961+0.004981 test-mlogloss:0.763701+0.016134
## [92] train-mlogloss:0.133781+0.005435 test-mlogloss:0.768115+0.016249
## [93] train-mlogloss:0.132340+0.005371 test-mlogloss:0.770129+0.016454
## [94] train-mlogloss:0.130871+0.005590 test-mlogloss:0.772659+0.018002
## [95] train-mlogloss:0.129324+0.005184 test-mlogloss:0.773789+0.018623
## [96] train-mlogloss:0.127624+0.004794 test-mlogloss:0.775111+0.019035
## [97] train-mlogloss:0.126252+0.004709 test-mlogloss:0.777465+0.019459
## [98] train-mlogloss:0.124892+0.004597 test-mlogloss:0.778892+0.020182
## [99] train-mlogloss:0.123688+0.004345 test-mlogloss:0.780517+0.019995
## [100] train-mlogloss:0.122029+0.004336 test-mlogloss:0.781563+0.020756
## [101] train-mlogloss:0.120422+0.003952 test-mlogloss:0.783739+0.019739
## [102] train-mlogloss:0.118730+0.004037 test-mlogloss:0.785767+0.019263
## [103] train-mlogloss:0.117014+0.003831 test-mlogloss:0.787464+0.020026
## [104] train-mlogloss:0.115539+0.003745 test-mlogloss:0.789013+0.020997
## [105] train-mlogloss:0.114161+0.003769 test-mlogloss:0.791458+0.022570
## [106] train-mlogloss:0.112610+0.003661 test-mlogloss:0.793678+0.021522
## [107] train-mlogloss:0.111361+0.003568 test-mlogloss:0.795012+0.022407
## [108] train-mlogloss:0.110015+0.003322 test-mlogloss:0.796432+0.022569
## [109] train-mlogloss:0.108768+0.003242 test-mlogloss:0.796536+0.021884
## [110] train-mlogloss:0.107468+0.002901 test-mlogloss:0.797400+0.021533
## [111] train-mlogloss:0.106330+0.002836 test-mlogloss:0.797382+0.021828
## [112] train-mlogloss:0.104915+0.002501 test-mlogloss:0.798283+0.022692
## [113] train-mlogloss:0.103426+0.002668 test-mlogloss:0.798133+0.022585
## [114] train-mlogloss:0.101881+0.002701 test-mlogloss:0.799667+0.022538
## [115] train-mlogloss:0.100702+0.002670 test-mlogloss:0.802237+0.022691
## [116] train-mlogloss:0.099446+0.002687 test-mlogloss:0.804547+0.022005
## [117] train-mlogloss:0.098566+0.002493 test-mlogloss:0.806659+0.021322
## [118] train-mlogloss:0.097320+0.002321 test-mlogloss:0.808590+0.022187
## [119] train-mlogloss:0.096042+0.002358 test-mlogloss:0.810147+0.022261
## [120] train-mlogloss:0.094928+0.002252 test-mlogloss:0.811502+0.022354
## [121] train-mlogloss:0.093777+0.002477 test-mlogloss:0.811502+0.021175
## [122] train-mlogloss:0.092607+0.002447 test-mlogloss:0.812388+0.020506
## [123] train-mlogloss:0.091533+0.002585 test-mlogloss:0.814305+0.021691
## [124] train-mlogloss:0.090401+0.002408 test-mlogloss:0.816715+0.022568
## [125] train-mlogloss:0.089361+0.002445 test-mlogloss:0.817491+0.022690
## [126] train-mlogloss:0.088488+0.002341 test-mlogloss:0.820508+0.022564
## [127] train-mlogloss:0.087475+0.002484 test-mlogloss:0.822022+0.022628
## [128] train-mlogloss:0.086560+0.002420 test-mlogloss:0.823688+0.021538
## [129] train-mlogloss:0.085394+0.002100 test-mlogloss:0.826831+0.021548
## [130] train-mlogloss:0.084250+0.002465 test-mlogloss:0.828979+0.020999
## [131] train-mlogloss:0.083236+0.002476 test-mlogloss:0.830787+0.021144
## [132] train-mlogloss:0.082303+0.002372 test-mlogloss:0.832387+0.021170
## [133] train-mlogloss:0.081479+0.002455 test-mlogloss:0.833802+0.021676
## [134] train-mlogloss:0.080499+0.002239 test-mlogloss:0.836041+0.020224
## [135] train-mlogloss:0.079659+0.002139 test-mlogloss:0.837491+0.020993
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## [137] train-mlogloss:0.078184+0.001938 test-mlogloss:0.840024+0.022345
## [138] train-mlogloss:0.077459+0.002038 test-mlogloss:0.840229+0.022481
## [139] train-mlogloss:0.076653+0.001992 test-mlogloss:0.842271+0.021441
## [140] train-mlogloss:0.075687+0.002132 test-mlogloss:0.843011+0.022130
## [141] train-mlogloss:0.074825+0.002025 test-mlogloss:0.845328+0.021965
## [142] train-mlogloss:0.073720+0.002221 test-mlogloss:0.847748+0.021392
## [143] train-mlogloss:0.072923+0.002224 test-mlogloss:0.850495+0.023048
## [144] train-mlogloss:0.072335+0.002067 test-mlogloss:0.849866+0.023131
## [145] train-mlogloss:0.071632+0.002105 test-mlogloss:0.851726+0.022931
## [146] train-mlogloss:0.070817+0.001999 test-mlogloss:0.852790+0.023140
## [147] train-mlogloss:0.070176+0.001974 test-mlogloss:0.854968+0.023495
## [148] train-mlogloss:0.069395+0.001996 test-mlogloss:0.856219+0.023197
## [149] train-mlogloss:0.068648+0.001906 test-mlogloss:0.857645+0.023367
## [150] train-mlogloss:0.068032+0.001900 test-mlogloss:0.859776+0.024256
## [151] train-mlogloss:0.067274+0.001904 test-mlogloss:0.863015+0.024334
## [152] train-mlogloss:0.066681+0.001941 test-mlogloss:0.863305+0.024054
## [153] train-mlogloss:0.065928+0.001938 test-mlogloss:0.864279+0.025171
## [154] train-mlogloss:0.065413+0.001891 test-mlogloss:0.865699+0.024849
## [155] train-mlogloss:0.064694+0.002005 test-mlogloss:0.867343+0.024925
## [156] train-mlogloss:0.063950+0.001998 test-mlogloss:0.869368+0.024443
## [157] train-mlogloss:0.063391+0.001957 test-mlogloss:0.871235+0.024271
## [158] train-mlogloss:0.062828+0.001937 test-mlogloss:0.872429+0.023050
## [159] train-mlogloss:0.062069+0.001943 test-mlogloss:0.874647+0.023113
## [160] train-mlogloss:0.061584+0.001975 test-mlogloss:0.875253+0.023802
## [161] train-mlogloss:0.061007+0.001864 test-mlogloss:0.877069+0.023017
## [162] train-mlogloss:0.060393+0.001861 test-mlogloss:0.877321+0.023236
## [163] train-mlogloss:0.059886+0.001886 test-mlogloss:0.879782+0.024129
## [164] train-mlogloss:0.059365+0.001873 test-mlogloss:0.882068+0.024000
## [165] train-mlogloss:0.058870+0.001909 test-mlogloss:0.884012+0.024123
## [166] train-mlogloss:0.058235+0.001918 test-mlogloss:0.883627+0.023352
## [167] train-mlogloss:0.057575+0.001828 test-mlogloss:0.886915+0.025338
## [168] train-mlogloss:0.057030+0.001778 test-mlogloss:0.887021+0.026128
## [169] train-mlogloss:0.056512+0.001846 test-mlogloss:0.889120+0.026515
## [170] train-mlogloss:0.055801+0.001883 test-mlogloss:0.889479+0.027193
## [171] train-mlogloss:0.055093+0.001895 test-mlogloss:0.891216+0.027761
## [172] train-mlogloss:0.054566+0.001889 test-mlogloss:0.891815+0.027589
## [173] train-mlogloss:0.054108+0.001921 test-mlogloss:0.893147+0.027710
## [174] train-mlogloss:0.053613+0.001810 test-mlogloss:0.893750+0.026765
## [175] train-mlogloss:0.053253+0.001822 test-mlogloss:0.894197+0.026214
## [176] train-mlogloss:0.052704+0.001822 test-mlogloss:0.896009+0.025633
## [177] train-mlogloss:0.052299+0.001738 test-mlogloss:0.897093+0.025294
## [178] train-mlogloss:0.051884+0.001676 test-mlogloss:0.898419+0.026098
## [179] train-mlogloss:0.051414+0.001672 test-mlogloss:0.900402+0.024588
## [180] train-mlogloss:0.050875+0.001693 test-mlogloss:0.900855+0.024759
## [181] train-mlogloss:0.050474+0.001692 test-mlogloss:0.903553+0.025332
## [182] train-mlogloss:0.050045+0.001703 test-mlogloss:0.903791+0.025102
## [183] train-mlogloss:0.049619+0.001719 test-mlogloss:0.904800+0.026371
## [184] train-mlogloss:0.049204+0.001708 test-mlogloss:0.904944+0.027602
## [185] train-mlogloss:0.048743+0.001662 test-mlogloss:0.906020+0.028297
## [186] train-mlogloss:0.048274+0.001590 test-mlogloss:0.909203+0.028077
## [187] train-mlogloss:0.047931+0.001546 test-mlogloss:0.910228+0.028161
## [188] train-mlogloss:0.047595+0.001566 test-mlogloss:0.911671+0.027208
## [189] train-mlogloss:0.047187+0.001528 test-mlogloss:0.912980+0.029051
## [190] train-mlogloss:0.046800+0.001501 test-mlogloss:0.913801+0.028584
## [191] train-mlogloss:0.046488+0.001467 test-mlogloss:0.914799+0.028577
## [192] train-mlogloss:0.046141+0.001444 test-mlogloss:0.916180+0.028789
## [193] train-mlogloss:0.045716+0.001385 test-mlogloss:0.916181+0.029197
## [194] train-mlogloss:0.045347+0.001317 test-mlogloss:0.916239+0.029283
## [195] train-mlogloss:0.045028+0.001341 test-mlogloss:0.918247+0.030708
## [196] train-mlogloss:0.044698+0.001346 test-mlogloss:0.920280+0.029629
## [197] train-mlogloss:0.044348+0.001342 test-mlogloss:0.921142+0.029599
## [198] train-mlogloss:0.044005+0.001357 test-mlogloss:0.922732+0.030065
## [199] train-mlogloss:0.043515+0.001342 test-mlogloss:0.923284+0.030897
## [200] train-mlogloss:0.043156+0.001361 test-mlogloss:0.924682+0.030778
## [201] train-mlogloss:0.042864+0.001383 test-mlogloss:0.925733+0.031457
## [202] train-mlogloss:0.042483+0.001414 test-mlogloss:0.926398+0.030683
## [203] train-mlogloss:0.042078+0.001381 test-mlogloss:0.928582+0.030339
## [204] train-mlogloss:0.041797+0.001342 test-mlogloss:0.930374+0.030493
## [205] train-mlogloss:0.041441+0.001349 test-mlogloss:0.931937+0.030969
## [206] train-mlogloss:0.041046+0.001317 test-mlogloss:0.934400+0.031458
## [207] train-mlogloss:0.040752+0.001317 test-mlogloss:0.934979+0.031629
## [208] train-mlogloss:0.040404+0.001256 test-mlogloss:0.935923+0.031148
## [209] train-mlogloss:0.040056+0.001324 test-mlogloss:0.936416+0.030690
## [210] train-mlogloss:0.039675+0.001273 test-mlogloss:0.937436+0.031748
## [211] train-mlogloss:0.039398+0.001266 test-mlogloss:0.938543+0.032838
## [212] train-mlogloss:0.039100+0.001292 test-mlogloss:0.940595+0.032481
## [213] train-mlogloss:0.038810+0.001310 test-mlogloss:0.941386+0.033480
## [214] train-mlogloss:0.038470+0.001315 test-mlogloss:0.943710+0.034077
## [215] train-mlogloss:0.038262+0.001314 test-mlogloss:0.944046+0.034779
## [216] train-mlogloss:0.037965+0.001236 test-mlogloss:0.945432+0.035308
## [217] train-mlogloss:0.037653+0.001139 test-mlogloss:0.946115+0.035763
## [218] train-mlogloss:0.037409+0.001094 test-mlogloss:0.947651+0.034455
## [219] train-mlogloss:0.037148+0.001071 test-mlogloss:0.949472+0.034858
## [220] train-mlogloss:0.036923+0.001068 test-mlogloss:0.950299+0.034047
## [221] train-mlogloss:0.036651+0.001105 test-mlogloss:0.952521+0.033890
## [222] train-mlogloss:0.036361+0.001108 test-mlogloss:0.952891+0.034437
## [223] train-mlogloss:0.036064+0.001069 test-mlogloss:0.954959+0.034603
## [224] train-mlogloss:0.035792+0.001045 test-mlogloss:0.956070+0.034624
## [225] train-mlogloss:0.035552+0.001018 test-mlogloss:0.957029+0.033712
## [226] train-mlogloss:0.035319+0.001072 test-mlogloss:0.958883+0.033565
## [227] train-mlogloss:0.035113+0.001077 test-mlogloss:0.959829+0.034211
## [228] train-mlogloss:0.034837+0.001096 test-mlogloss:0.959944+0.033925
## [229] train-mlogloss:0.034515+0.001161 test-mlogloss:0.962309+0.034283
## [230] train-mlogloss:0.034262+0.001178 test-mlogloss:0.963672+0.035100
## [231] train-mlogloss:0.034023+0.001166 test-mlogloss:0.964885+0.034502
## [232] train-mlogloss:0.033756+0.001207 test-mlogloss:0.966999+0.035394
## [233] train-mlogloss:0.033509+0.001203 test-mlogloss:0.968397+0.035680
## [234] train-mlogloss:0.033222+0.001223 test-mlogloss:0.969163+0.035684
## [235] train-mlogloss:0.033003+0.001183 test-mlogloss:0.969824+0.035093
## [236] train-mlogloss:0.032817+0.001128 test-mlogloss:0.971519+0.035893
## [237] train-mlogloss:0.032604+0.001140 test-mlogloss:0.972025+0.035725
## [238] train-mlogloss:0.032407+0.001144 test-mlogloss:0.973221+0.037083
## [239] train-mlogloss:0.032175+0.001128 test-mlogloss:0.974346+0.036990
## [240] train-mlogloss:0.031932+0.001094 test-mlogloss:0.974751+0.037951
## [241] train-mlogloss:0.031715+0.001046 test-mlogloss:0.976101+0.038284
## [242] train-mlogloss:0.031486+0.001058 test-mlogloss:0.976905+0.037087
## [243] train-mlogloss:0.031281+0.001040 test-mlogloss:0.977949+0.037979
## [244] train-mlogloss:0.031063+0.001014 test-mlogloss:0.978849+0.037281
## [245] train-mlogloss:0.030831+0.000986 test-mlogloss:0.980258+0.037630
## [246] train-mlogloss:0.030664+0.000968 test-mlogloss:0.980995+0.036878
## [247] train-mlogloss:0.030486+0.000951 test-mlogloss:0.982954+0.036568
## [248] train-mlogloss:0.030300+0.000971 test-mlogloss:0.983726+0.037110
## [249] train-mlogloss:0.030187+0.000965 test-mlogloss:0.984508+0.037586
## [250] train-mlogloss:0.029944+0.000967 test-mlogloss:0.984888+0.037259
## [251] train-mlogloss:0.029735+0.000974 test-mlogloss:0.984816+0.036300
## [252] train-mlogloss:0.029516+0.000967 test-mlogloss:0.986806+0.037116
## [253] train-mlogloss:0.029289+0.000967 test-mlogloss:0.987479+0.036502
## [254] train-mlogloss:0.029137+0.000978 test-mlogloss:0.989656+0.037116
## [255] train-mlogloss:0.028965+0.000942 test-mlogloss:0.991611+0.037480
## [256] train-mlogloss:0.028803+0.000971 test-mlogloss:0.992175+0.037851
## [257] train-mlogloss:0.028596+0.000978 test-mlogloss:0.992829+0.037631
## [258] train-mlogloss:0.028408+0.000963 test-mlogloss:0.993310+0.037338
## [259] train-mlogloss:0.028245+0.000958 test-mlogloss:0.993894+0.037166
## [260] train-mlogloss:0.028060+0.000907 test-mlogloss:0.994765+0.037661
## [261] train-mlogloss:0.027890+0.000932 test-mlogloss:0.996439+0.037280
## [262] train-mlogloss:0.027687+0.000933 test-mlogloss:0.998095+0.036634
## [263] train-mlogloss:0.027555+0.000950 test-mlogloss:0.999270+0.037262
## [264] train-mlogloss:0.027382+0.000946 test-mlogloss:0.999653+0.036947
## [265] train-mlogloss:0.027200+0.000962 test-mlogloss:1.000257+0.038165
## [266] train-mlogloss:0.027031+0.000979 test-mlogloss:1.001015+0.038116
## [267] train-mlogloss:0.026870+0.000931 test-mlogloss:1.002807+0.036644
## [268] train-mlogloss:0.026656+0.000896 test-mlogloss:1.002604+0.036752
## [269] train-mlogloss:0.026497+0.000901 test-mlogloss:1.004195+0.036829
## [270] train-mlogloss:0.026355+0.000880 test-mlogloss:1.004885+0.036995
## [271] train-mlogloss:0.026215+0.000874 test-mlogloss:1.005295+0.036806
## [272] train-mlogloss:0.026039+0.000826 test-mlogloss:1.005521+0.036596
## [273] train-mlogloss:0.025906+0.000820 test-mlogloss:1.006260+0.036298
## [274] train-mlogloss:0.025763+0.000806 test-mlogloss:1.007544+0.036392
## [275] train-mlogloss:0.025600+0.000827 test-mlogloss:1.007998+0.035536
## [276] train-mlogloss:0.025444+0.000839 test-mlogloss:1.010075+0.035580
## [277] train-mlogloss:0.025267+0.000857 test-mlogloss:1.011430+0.036510
## [278] train-mlogloss:0.025092+0.000843 test-mlogloss:1.012013+0.035968
## [279] train-mlogloss:0.024943+0.000829 test-mlogloss:1.013355+0.035150
## [280] train-mlogloss:0.024795+0.000811 test-mlogloss:1.014032+0.035340
## [281] train-mlogloss:0.024606+0.000818 test-mlogloss:1.015956+0.034181
## [282] train-mlogloss:0.024455+0.000846 test-mlogloss:1.016912+0.034634
## [283] train-mlogloss:0.024310+0.000848 test-mlogloss:1.017556+0.035234
## [284] train-mlogloss:0.024186+0.000844 test-mlogloss:1.018805+0.034801
## [285] train-mlogloss:0.024077+0.000836 test-mlogloss:1.020021+0.034279
## [286] train-mlogloss:0.023918+0.000836 test-mlogloss:1.020974+0.034050
## [287] train-mlogloss:0.023778+0.000843 test-mlogloss:1.020459+0.034429
## [288] train-mlogloss:0.023662+0.000839 test-mlogloss:1.021570+0.034580
## [289] train-mlogloss:0.023551+0.000840 test-mlogloss:1.022573+0.034540
## [290] train-mlogloss:0.023433+0.000818 test-mlogloss:1.023318+0.034839
## [291] train-mlogloss:0.023335+0.000816 test-mlogloss:1.023924+0.033932
## [292] train-mlogloss:0.023218+0.000810 test-mlogloss:1.023906+0.033339
## [293] train-mlogloss:0.023097+0.000813 test-mlogloss:1.025129+0.033599
## [294] train-mlogloss:0.022981+0.000816 test-mlogloss:1.025080+0.033568
## [295] train-mlogloss:0.022867+0.000832 test-mlogloss:1.026055+0.033591
## [296] train-mlogloss:0.022745+0.000839 test-mlogloss:1.026087+0.033504
## [297] train-mlogloss:0.022647+0.000825 test-mlogloss:1.026299+0.033611
## [298] train-mlogloss:0.022510+0.000828 test-mlogloss:1.027818+0.032725
## [299] train-mlogloss:0.022421+0.000817 test-mlogloss:1.027399+0.032823
## [300] train-mlogloss:0.022322+0.000790 test-mlogloss:1.028167+0.034055
## [301] train-mlogloss:0.022219+0.000790 test-mlogloss:1.028729+0.034523
## [302] train-mlogloss:0.022114+0.000795 test-mlogloss:1.029545+0.034022
## [303] train-mlogloss:0.021959+0.000769 test-mlogloss:1.031450+0.032639
## [304] train-mlogloss:0.021816+0.000764 test-mlogloss:1.032024+0.032607
## [305] train-mlogloss:0.021712+0.000755 test-mlogloss:1.033330+0.033113
## [306] train-mlogloss:0.021569+0.000736 test-mlogloss:1.034367+0.033739
## [307] train-mlogloss:0.021493+0.000740 test-mlogloss:1.034416+0.033209
## [308] train-mlogloss:0.021378+0.000726 test-mlogloss:1.035591+0.033320
## [309] train-mlogloss:0.021270+0.000724 test-mlogloss:1.036582+0.032417
## [310] train-mlogloss:0.021179+0.000719 test-mlogloss:1.037934+0.032097
## [311] train-mlogloss:0.021058+0.000727 test-mlogloss:1.037606+0.030595
## [312] train-mlogloss:0.020985+0.000717 test-mlogloss:1.038617+0.031150
## [313] train-mlogloss:0.020885+0.000720 test-mlogloss:1.040150+0.031042
## [314] train-mlogloss:0.020787+0.000736 test-mlogloss:1.040591+0.030174
## [315] train-mlogloss:0.020705+0.000735 test-mlogloss:1.041763+0.030340
## [316] train-mlogloss:0.020603+0.000717 test-mlogloss:1.041733+0.030090
## [317] train-mlogloss:0.020510+0.000716 test-mlogloss:1.044036+0.030032
## [318] train-mlogloss:0.020398+0.000712 test-mlogloss:1.045145+0.029454
## [319] train-mlogloss:0.020291+0.000704 test-mlogloss:1.046142+0.029061
## [320] train-mlogloss:0.020208+0.000692 test-mlogloss:1.045938+0.030052
## [321] train-mlogloss:0.020108+0.000678 test-mlogloss:1.047060+0.029944
## [322] train-mlogloss:0.020000+0.000676 test-mlogloss:1.048580+0.029757
## [323] train-mlogloss:0.019900+0.000683 test-mlogloss:1.050781+0.030533
## [324] train-mlogloss:0.019808+0.000685 test-mlogloss:1.051814+0.029254
## [325] train-mlogloss:0.019729+0.000664 test-mlogloss:1.052133+0.028762
## [326] train-mlogloss:0.019637+0.000669 test-mlogloss:1.052831+0.028300
## [327] train-mlogloss:0.019551+0.000682 test-mlogloss:1.053760+0.028463
## [328] train-mlogloss:0.019462+0.000668 test-mlogloss:1.053436+0.028324
## [329] train-mlogloss:0.019379+0.000660 test-mlogloss:1.053967+0.028869
## [330] train-mlogloss:0.019308+0.000653 test-mlogloss:1.054938+0.029052
## [331] train-mlogloss:0.019229+0.000658 test-mlogloss:1.055502+0.029636
## [332] train-mlogloss:0.019125+0.000661 test-mlogloss:1.056550+0.029790
## [333] train-mlogloss:0.019055+0.000647 test-mlogloss:1.057532+0.029976
## [334] train-mlogloss:0.018975+0.000624 test-mlogloss:1.057584+0.029925
## [335] train-mlogloss:0.018906+0.000613 test-mlogloss:1.058323+0.030430
## [336] train-mlogloss:0.018831+0.000597 test-mlogloss:1.058771+0.030601
## [337] train-mlogloss:0.018732+0.000577 test-mlogloss:1.060142+0.031095
## [338] train-mlogloss:0.018654+0.000582 test-mlogloss:1.060566+0.031671
## [339] train-mlogloss:0.018566+0.000564 test-mlogloss:1.061421+0.031098
## [340] train-mlogloss:0.018497+0.000558 test-mlogloss:1.062568+0.030964
## [341] train-mlogloss:0.018397+0.000569 test-mlogloss:1.063493+0.031559
## [342] train-mlogloss:0.018318+0.000572 test-mlogloss:1.063788+0.030666
## [343] train-mlogloss:0.018229+0.000554 test-mlogloss:1.064755+0.032185
## [344] train-mlogloss:0.018145+0.000531 test-mlogloss:1.064392+0.032116
## [345] train-mlogloss:0.018063+0.000535 test-mlogloss:1.064726+0.032203
## [346] train-mlogloss:0.017979+0.000543 test-mlogloss:1.066298+0.032609
## [347] train-mlogloss:0.017894+0.000519 test-mlogloss:1.067683+0.032322
## [348] train-mlogloss:0.017809+0.000513 test-mlogloss:1.068856+0.032574
## [349] train-mlogloss:0.017729+0.000496 test-mlogloss:1.069587+0.032436
## [350] train-mlogloss:0.017667+0.000503 test-mlogloss:1.070625+0.032636
## [351] train-mlogloss:0.017591+0.000486 test-mlogloss:1.071572+0.031751
## [352] train-mlogloss:0.017520+0.000465 test-mlogloss:1.073072+0.032240
## [353] train-mlogloss:0.017447+0.000455 test-mlogloss:1.073271+0.031952
## [354] train-mlogloss:0.017377+0.000458 test-mlogloss:1.072217+0.031973
## [355] train-mlogloss:0.017328+0.000447 test-mlogloss:1.073464+0.031689
## [356] train-mlogloss:0.017265+0.000447 test-mlogloss:1.073883+0.032719
## [357] train-mlogloss:0.017192+0.000432 test-mlogloss:1.073733+0.033336
## [358] train-mlogloss:0.017127+0.000460 test-mlogloss:1.075192+0.034198
## [359] train-mlogloss:0.017060+0.000473 test-mlogloss:1.076552+0.034705
## [360] train-mlogloss:0.016995+0.000483 test-mlogloss:1.076485+0.034048
## [361] train-mlogloss:0.016923+0.000469 test-mlogloss:1.077358+0.033843
## [362] train-mlogloss:0.016863+0.000456 test-mlogloss:1.077449+0.034791
## [363] train-mlogloss:0.016789+0.000441 test-mlogloss:1.078665+0.034705
## [364] train-mlogloss:0.016707+0.000442 test-mlogloss:1.079280+0.034357
## [365] train-mlogloss:0.016651+0.000446 test-mlogloss:1.080097+0.034430
## [366] train-mlogloss:0.016597+0.000453 test-mlogloss:1.081186+0.035145
## [367] train-mlogloss:0.016528+0.000438 test-mlogloss:1.081321+0.035031
## [368] train-mlogloss:0.016453+0.000441 test-mlogloss:1.083114+0.035392
## [369] train-mlogloss:0.016394+0.000436 test-mlogloss:1.083821+0.035034
## [370] train-mlogloss:0.016328+0.000439 test-mlogloss:1.084316+0.033893
## [371] train-mlogloss:0.016253+0.000446 test-mlogloss:1.084062+0.034341
## [372] train-mlogloss:0.016176+0.000446 test-mlogloss:1.084303+0.034580
## [373] train-mlogloss:0.016108+0.000445 test-mlogloss:1.084403+0.034704
## [374] train-mlogloss:0.016048+0.000440 test-mlogloss:1.085106+0.035565
## [375] train-mlogloss:0.015981+0.000429 test-mlogloss:1.085731+0.035044
## [376] train-mlogloss:0.015914+0.000426 test-mlogloss:1.087105+0.035244
## [377] train-mlogloss:0.015859+0.000408 test-mlogloss:1.087221+0.035517
## [378] train-mlogloss:0.015803+0.000411 test-mlogloss:1.087677+0.035404
## [379] train-mlogloss:0.015742+0.000424 test-mlogloss:1.088001+0.035726
## [380] train-mlogloss:0.015694+0.000423 test-mlogloss:1.089123+0.036025
## [381] train-mlogloss:0.015656+0.000426 test-mlogloss:1.089369+0.036101
## [382] train-mlogloss:0.015589+0.000415 test-mlogloss:1.090143+0.036868
## [383] train-mlogloss:0.015546+0.000422 test-mlogloss:1.091068+0.036651
## [384] train-mlogloss:0.015483+0.000422 test-mlogloss:1.091382+0.036071
## [385] train-mlogloss:0.015427+0.000414 test-mlogloss:1.091701+0.035909
## [386] train-mlogloss:0.015362+0.000409 test-mlogloss:1.092469+0.035828
## [387] train-mlogloss:0.015294+0.000404 test-mlogloss:1.092029+0.035721
## [388] train-mlogloss:0.015240+0.000403 test-mlogloss:1.092150+0.034735
## [389] train-mlogloss:0.015166+0.000387 test-mlogloss:1.092956+0.035320
## [390] train-mlogloss:0.015117+0.000374 test-mlogloss:1.093321+0.034611
## [391] train-mlogloss:0.015053+0.000380 test-mlogloss:1.094414+0.035342
## [392] train-mlogloss:0.015011+0.000383 test-mlogloss:1.095241+0.035123
## [393] train-mlogloss:0.014955+0.000376 test-mlogloss:1.096243+0.035063
## [394] train-mlogloss:0.014905+0.000374 test-mlogloss:1.096192+0.035109
## [395] train-mlogloss:0.014860+0.000394 test-mlogloss:1.096203+0.035247
## [396] train-mlogloss:0.014805+0.000387 test-mlogloss:1.097397+0.035760
## [397] train-mlogloss:0.014755+0.000392 test-mlogloss:1.097106+0.035696
## [398] train-mlogloss:0.014698+0.000384 test-mlogloss:1.098464+0.036191
## [399] train-mlogloss:0.014653+0.000390 test-mlogloss:1.098986+0.036234
## [400] train-mlogloss:0.014599+0.000390 test-mlogloss:1.099136+0.035849
## [401] train-mlogloss:0.014536+0.000389 test-mlogloss:1.100744+0.035938
## [402] train-mlogloss:0.014484+0.000404 test-mlogloss:1.101060+0.035939
## [403] train-mlogloss:0.014429+0.000400 test-mlogloss:1.101106+0.035336
## [404] train-mlogloss:0.014377+0.000388 test-mlogloss:1.102325+0.036645
## [405] train-mlogloss:0.014329+0.000387 test-mlogloss:1.101852+0.035722
## [406] train-mlogloss:0.014284+0.000390 test-mlogloss:1.101682+0.035476
## [407] train-mlogloss:0.014243+0.000390 test-mlogloss:1.103217+0.035366
## [408] train-mlogloss:0.014200+0.000387 test-mlogloss:1.104383+0.035237
## [409] train-mlogloss:0.014144+0.000376 test-mlogloss:1.104654+0.035452
## [410] train-mlogloss:0.014102+0.000376 test-mlogloss:1.104862+0.035779
## [411] train-mlogloss:0.014055+0.000384 test-mlogloss:1.105168+0.035738
## [412] train-mlogloss:0.014011+0.000378 test-mlogloss:1.106173+0.035611
## [413] train-mlogloss:0.013957+0.000379 test-mlogloss:1.107082+0.035820
## [414] train-mlogloss:0.013914+0.000379 test-mlogloss:1.107409+0.035743
## [415] train-mlogloss:0.013863+0.000371 test-mlogloss:1.108504+0.036005
## [416] train-mlogloss:0.013820+0.000374 test-mlogloss:1.109749+0.035913
## [417] train-mlogloss:0.013779+0.000371 test-mlogloss:1.109514+0.035877
## [418] train-mlogloss:0.013729+0.000361 test-mlogloss:1.110541+0.035745
## [419] train-mlogloss:0.013692+0.000354 test-mlogloss:1.110546+0.034981
## [420] train-mlogloss:0.013649+0.000352 test-mlogloss:1.111212+0.034877
## [421] train-mlogloss:0.013608+0.000347 test-mlogloss:1.111635+0.035915
## [422] train-mlogloss:0.013577+0.000344 test-mlogloss:1.112076+0.035895
## [423] train-mlogloss:0.013540+0.000340 test-mlogloss:1.112518+0.035993
## [424] train-mlogloss:0.013500+0.000332 test-mlogloss:1.112187+0.035540
## [425] train-mlogloss:0.013457+0.000327 test-mlogloss:1.112480+0.035448
## [426] train-mlogloss:0.013416+0.000331 test-mlogloss:1.112852+0.035151
## [427] train-mlogloss:0.013376+0.000334 test-mlogloss:1.113643+0.035075
## [428] train-mlogloss:0.013329+0.000334 test-mlogloss:1.114660+0.034844
## [429] train-mlogloss:0.013300+0.000333 test-mlogloss:1.115610+0.035436
## [430] train-mlogloss:0.013264+0.000340 test-mlogloss:1.116000+0.035297
## [431] train-mlogloss:0.013228+0.000347 test-mlogloss:1.117016+0.035496
## [432] train-mlogloss:0.013194+0.000351 test-mlogloss:1.117115+0.034955
## [433] train-mlogloss:0.013143+0.000351 test-mlogloss:1.117015+0.035583
## [434] train-mlogloss:0.013105+0.000350 test-mlogloss:1.117625+0.035461
## [435] train-mlogloss:0.013059+0.000342 test-mlogloss:1.118187+0.035145
## [436] train-mlogloss:0.013012+0.000334 test-mlogloss:1.119246+0.035849
## [437] train-mlogloss:0.012972+0.000328 test-mlogloss:1.119987+0.035615
## [438] train-mlogloss:0.012933+0.000326 test-mlogloss:1.120232+0.036199
## [439] train-mlogloss:0.012894+0.000324 test-mlogloss:1.121056+0.035921
## [440] train-mlogloss:0.012853+0.000326 test-mlogloss:1.122465+0.035470
## [441] train-mlogloss:0.012815+0.000332 test-mlogloss:1.123495+0.035058
## [442] train-mlogloss:0.012782+0.000335 test-mlogloss:1.124250+0.034884
## [443] train-mlogloss:0.012752+0.000334 test-mlogloss:1.124965+0.034763
## [444] train-mlogloss:0.012708+0.000334 test-mlogloss:1.124499+0.034366
## [445] train-mlogloss:0.012656+0.000333 test-mlogloss:1.125415+0.034364
## [446] train-mlogloss:0.012621+0.000336 test-mlogloss:1.125782+0.034930
## [447] train-mlogloss:0.012594+0.000334 test-mlogloss:1.125513+0.034927
## [448] train-mlogloss:0.012553+0.000343 test-mlogloss:1.126007+0.034873
## [449] train-mlogloss:0.012519+0.000342 test-mlogloss:1.127042+0.035854
## [450] train-mlogloss:0.012487+0.000347 test-mlogloss:1.127032+0.035704
## [451] train-mlogloss:0.012451+0.000351 test-mlogloss:1.127463+0.035161
## [452] train-mlogloss:0.012421+0.000342 test-mlogloss:1.128064+0.035766
## [453] train-mlogloss:0.012390+0.000338 test-mlogloss:1.128326+0.035872
## [454] train-mlogloss:0.012362+0.000335 test-mlogloss:1.129881+0.035801
## [455] train-mlogloss:0.012328+0.000326 test-mlogloss:1.129431+0.035753
## [456] train-mlogloss:0.012291+0.000324 test-mlogloss:1.129375+0.036131
## [457] train-mlogloss:0.012255+0.000320 test-mlogloss:1.130292+0.036149
## [458] train-mlogloss:0.012208+0.000315 test-mlogloss:1.130771+0.036240
## [459] train-mlogloss:0.012170+0.000313 test-mlogloss:1.131680+0.036539
## [460] train-mlogloss:0.012133+0.000310 test-mlogloss:1.132045+0.035871
## [461] train-mlogloss:0.012092+0.000310 test-mlogloss:1.132716+0.035848
## [462] train-mlogloss:0.012057+0.000307 test-mlogloss:1.133678+0.036935
## [463] train-mlogloss:0.012033+0.000304 test-mlogloss:1.133949+0.036642
## [464] train-mlogloss:0.011992+0.000304 test-mlogloss:1.134519+0.036608
## [465] train-mlogloss:0.011959+0.000299 test-mlogloss:1.135257+0.036822
## [466] train-mlogloss:0.011925+0.000300 test-mlogloss:1.135772+0.037126
## [467] train-mlogloss:0.011894+0.000311 test-mlogloss:1.135829+0.036800
## [468] train-mlogloss:0.011863+0.000311 test-mlogloss:1.136467+0.037175
## [469] train-mlogloss:0.011832+0.000309 test-mlogloss:1.136618+0.037680
## [470] train-mlogloss:0.011796+0.000304 test-mlogloss:1.136544+0.037001
## [471] train-mlogloss:0.011764+0.000301 test-mlogloss:1.137049+0.037688
## [472] train-mlogloss:0.011732+0.000306 test-mlogloss:1.137041+0.036605
## [473] train-mlogloss:0.011708+0.000300 test-mlogloss:1.137858+0.035908
## [474] train-mlogloss:0.011671+0.000302 test-mlogloss:1.138247+0.034955
## [475] train-mlogloss:0.011641+0.000306 test-mlogloss:1.137538+0.035945
## [476] train-mlogloss:0.011602+0.000310 test-mlogloss:1.138178+0.035311
## [477] train-mlogloss:0.011573+0.000307 test-mlogloss:1.138948+0.035032
## [478] train-mlogloss:0.011542+0.000318 test-mlogloss:1.140054+0.035394
## [479] train-mlogloss:0.011509+0.000311 test-mlogloss:1.140551+0.035120
## [480] train-mlogloss:0.011483+0.000314 test-mlogloss:1.141799+0.036076
## [481] train-mlogloss:0.011457+0.000315 test-mlogloss:1.141877+0.036471
## [482] train-mlogloss:0.011422+0.000312 test-mlogloss:1.142145+0.036267
## [483] train-mlogloss:0.011394+0.000315 test-mlogloss:1.143154+0.036453
## [484] train-mlogloss:0.011366+0.000311 test-mlogloss:1.142898+0.035594
## [485] train-mlogloss:0.011335+0.000313 test-mlogloss:1.143270+0.035460
## [486] train-mlogloss:0.011303+0.000313 test-mlogloss:1.143832+0.035877
## [487] train-mlogloss:0.011272+0.000310 test-mlogloss:1.144627+0.035742
## [488] train-mlogloss:0.011244+0.000306 test-mlogloss:1.145296+0.036256
## [489] train-mlogloss:0.011215+0.000300 test-mlogloss:1.145486+0.036271
## [490] train-mlogloss:0.011190+0.000296 test-mlogloss:1.145713+0.035897
## [491] train-mlogloss:0.011163+0.000300 test-mlogloss:1.146171+0.035720
## [492] train-mlogloss:0.011129+0.000304 test-mlogloss:1.147100+0.034160
## [493] train-mlogloss:0.011103+0.000304 test-mlogloss:1.146989+0.035040
## [494] train-mlogloss:0.011073+0.000304 test-mlogloss:1.147136+0.035112
## [495] train-mlogloss:0.011045+0.000305 test-mlogloss:1.147805+0.035363
## [496] train-mlogloss:0.011010+0.000305 test-mlogloss:1.149269+0.034880
## [497] train-mlogloss:0.010986+0.000313 test-mlogloss:1.148975+0.034612
## [498] train-mlogloss:0.010959+0.000312 test-mlogloss:1.149754+0.034724
## [499] train-mlogloss:0.010935+0.000309 test-mlogloss:1.150759+0.035581
## [500] train-mlogloss:0.010909+0.000310 test-mlogloss:1.150606+0.035253
## [1] train-mlogloss:0.438419+0.005887 test-mlogloss:0.581210+0.006561
## [2] train-mlogloss:0.346150+0.002344 test-mlogloss:0.599476+0.009172
## [3] train-mlogloss:0.289097+0.003377 test-mlogloss:0.619995+0.008307
## [4] train-mlogloss:0.246934+0.004366 test-mlogloss:0.639431+0.004950
## [5] train-mlogloss:0.216709+0.008350 test-mlogloss:0.655254+0.010082
## [6] train-mlogloss:0.190483+0.007699 test-mlogloss:0.670124+0.009680
## [7] train-mlogloss:0.170641+0.007350 test-mlogloss:0.684871+0.009737
## [8] train-mlogloss:0.152129+0.005810 test-mlogloss:0.697309+0.009300
## [9] train-mlogloss:0.136241+0.005236 test-mlogloss:0.710213+0.008455
## [10] train-mlogloss:0.122788+0.003415 test-mlogloss:0.720569+0.013252
## [11] train-mlogloss:0.111205+0.003347 test-mlogloss:0.729712+0.014471
## [12] train-mlogloss:0.102463+0.002582 test-mlogloss:0.736693+0.013937
## [13] train-mlogloss:0.094343+0.002486 test-mlogloss:0.746665+0.012350
## [14] train-mlogloss:0.087671+0.002642 test-mlogloss:0.754600+0.015767
## [15] train-mlogloss:0.081666+0.002467 test-mlogloss:0.762602+0.015378
## [16] train-mlogloss:0.077103+0.002649 test-mlogloss:0.768818+0.015696
## [17] train-mlogloss:0.072187+0.002329 test-mlogloss:0.776103+0.015458
## [18] train-mlogloss:0.067838+0.001964 test-mlogloss:0.783854+0.015521
## [19] train-mlogloss:0.064017+0.001959 test-mlogloss:0.789352+0.016657
## [20] train-mlogloss:0.060608+0.001742 test-mlogloss:0.794552+0.017417
## [21] train-mlogloss:0.057752+0.001667 test-mlogloss:0.799699+0.017068
## [22] train-mlogloss:0.055140+0.001622 test-mlogloss:0.804972+0.016475
## [23] train-mlogloss:0.052648+0.001516 test-mlogloss:0.812078+0.015644
## [24] train-mlogloss:0.050489+0.001506 test-mlogloss:0.817116+0.015480
## [25] train-mlogloss:0.048417+0.001314 test-mlogloss:0.822180+0.017749
## [26] train-mlogloss:0.046542+0.001171 test-mlogloss:0.826609+0.016271
## [27] train-mlogloss:0.044742+0.000998 test-mlogloss:0.832745+0.014813
## [28] train-mlogloss:0.043137+0.001017 test-mlogloss:0.838505+0.015124
## [29] train-mlogloss:0.041660+0.000916 test-mlogloss:0.844532+0.015715
## [30] train-mlogloss:0.040330+0.000839 test-mlogloss:0.847764+0.016423
## [31] train-mlogloss:0.039130+0.000737 test-mlogloss:0.854124+0.017327
## [32] train-mlogloss:0.037967+0.000648 test-mlogloss:0.857036+0.017749
## [33] train-mlogloss:0.036832+0.000648 test-mlogloss:0.860174+0.018170
## [34] train-mlogloss:0.035735+0.000650 test-mlogloss:0.863717+0.018538
## [35] train-mlogloss:0.034823+0.000625 test-mlogloss:0.870134+0.020247
## [36] train-mlogloss:0.033935+0.000611 test-mlogloss:0.872538+0.021034
## [37] train-mlogloss:0.033065+0.000632 test-mlogloss:0.874794+0.019875
## [38] train-mlogloss:0.032276+0.000594 test-mlogloss:0.875617+0.020455
## [39] train-mlogloss:0.031516+0.000588 test-mlogloss:0.878847+0.021797
## [40] train-mlogloss:0.030805+0.000578 test-mlogloss:0.881353+0.020431
## [41] train-mlogloss:0.030101+0.000545 test-mlogloss:0.885023+0.021218
## [42] train-mlogloss:0.029437+0.000537 test-mlogloss:0.887937+0.021314
## [43] train-mlogloss:0.028847+0.000504 test-mlogloss:0.890313+0.020126
## [44] train-mlogloss:0.028277+0.000492 test-mlogloss:0.891668+0.021628
## [45] train-mlogloss:0.027702+0.000504 test-mlogloss:0.894841+0.020176
## [46] train-mlogloss:0.027158+0.000487 test-mlogloss:0.897871+0.020257
## [47] train-mlogloss:0.026668+0.000458 test-mlogloss:0.901639+0.019211
## [48] train-mlogloss:0.026137+0.000451 test-mlogloss:0.903346+0.020325
## [49] train-mlogloss:0.025661+0.000428 test-mlogloss:0.906015+0.020693
## [50] train-mlogloss:0.025220+0.000408 test-mlogloss:0.909259+0.020976
## [51] train-mlogloss:0.024778+0.000377 test-mlogloss:0.911398+0.020998
## [52] train-mlogloss:0.024397+0.000348 test-mlogloss:0.913868+0.019039
## [53] train-mlogloss:0.024005+0.000365 test-mlogloss:0.915766+0.019156
## [54] train-mlogloss:0.023621+0.000362 test-mlogloss:0.915576+0.018311
## [55] train-mlogloss:0.023281+0.000360 test-mlogloss:0.919286+0.017969
## [56] train-mlogloss:0.022930+0.000356 test-mlogloss:0.922329+0.017076
## [57] train-mlogloss:0.022620+0.000334 test-mlogloss:0.924815+0.017757
## [58] train-mlogloss:0.022274+0.000292 test-mlogloss:0.927319+0.018375
## [59] train-mlogloss:0.021972+0.000290 test-mlogloss:0.928971+0.018836
## [60] train-mlogloss:0.021660+0.000277 test-mlogloss:0.932330+0.018615
## [61] train-mlogloss:0.021351+0.000266 test-mlogloss:0.935047+0.019489
## [62] train-mlogloss:0.021047+0.000261 test-mlogloss:0.936118+0.020033
## [63] train-mlogloss:0.020786+0.000250 test-mlogloss:0.936319+0.019906
## [64] train-mlogloss:0.020536+0.000245 test-mlogloss:0.937458+0.019387
## [65] train-mlogloss:0.020288+0.000239 test-mlogloss:0.938712+0.018375
## [66] train-mlogloss:0.020067+0.000244 test-mlogloss:0.940339+0.018140
## [67] train-mlogloss:0.019822+0.000249 test-mlogloss:0.941689+0.018979
## [68] train-mlogloss:0.019580+0.000233 test-mlogloss:0.943184+0.018053
## [69] train-mlogloss:0.019350+0.000216 test-mlogloss:0.944027+0.017586
## [70] train-mlogloss:0.019151+0.000199 test-mlogloss:0.946072+0.019295
## [71] train-mlogloss:0.018934+0.000187 test-mlogloss:0.947849+0.018925
## [72] train-mlogloss:0.018712+0.000171 test-mlogloss:0.950109+0.019152
## [73] train-mlogloss:0.018508+0.000180 test-mlogloss:0.952447+0.018987
## [74] train-mlogloss:0.018316+0.000184 test-mlogloss:0.955086+0.019083
## [75] train-mlogloss:0.018129+0.000195 test-mlogloss:0.956040+0.019415
## [76] train-mlogloss:0.017944+0.000207 test-mlogloss:0.957766+0.020235
## [77] train-mlogloss:0.017778+0.000212 test-mlogloss:0.958973+0.019630
## [78] train-mlogloss:0.017590+0.000210 test-mlogloss:0.959739+0.020206
## [79] train-mlogloss:0.017415+0.000207 test-mlogloss:0.961602+0.019042
## [80] train-mlogloss:0.017227+0.000203 test-mlogloss:0.963287+0.019673
## [81] train-mlogloss:0.017071+0.000192 test-mlogloss:0.964390+0.019902
## [82] train-mlogloss:0.016917+0.000184 test-mlogloss:0.966557+0.020038
## [83] train-mlogloss:0.016763+0.000187 test-mlogloss:0.967851+0.019863
## [84] train-mlogloss:0.016613+0.000175 test-mlogloss:0.969135+0.020189
## [85] train-mlogloss:0.016457+0.000168 test-mlogloss:0.970395+0.020198
## [86] train-mlogloss:0.016311+0.000169 test-mlogloss:0.970831+0.019221
## [87] train-mlogloss:0.016165+0.000160 test-mlogloss:0.971947+0.019669
## [88] train-mlogloss:0.016024+0.000154 test-mlogloss:0.972635+0.020371
## [89] train-mlogloss:0.015892+0.000145 test-mlogloss:0.973461+0.020564
## [90] train-mlogloss:0.015765+0.000151 test-mlogloss:0.974380+0.020157
## [91] train-mlogloss:0.015633+0.000153 test-mlogloss:0.975969+0.020059
## [92] train-mlogloss:0.015511+0.000147 test-mlogloss:0.977712+0.020183
## [93] train-mlogloss:0.015394+0.000143 test-mlogloss:0.977713+0.019907
## [94] train-mlogloss:0.015270+0.000143 test-mlogloss:0.979344+0.020015
## [95] train-mlogloss:0.015149+0.000146 test-mlogloss:0.979562+0.020303
## [96] train-mlogloss:0.015032+0.000145 test-mlogloss:0.981744+0.020436
## [97] train-mlogloss:0.014910+0.000151 test-mlogloss:0.981904+0.020107
## [98] train-mlogloss:0.014802+0.000148 test-mlogloss:0.984210+0.020602
## [99] train-mlogloss:0.014695+0.000141 test-mlogloss:0.985654+0.019930
## [100] train-mlogloss:0.014591+0.000139 test-mlogloss:0.985622+0.019757
## [101] train-mlogloss:0.014480+0.000131 test-mlogloss:0.986484+0.020542
## [102] train-mlogloss:0.014375+0.000127 test-mlogloss:0.987392+0.021371
## [103] train-mlogloss:0.014273+0.000114 test-mlogloss:0.988999+0.021009
## [104] train-mlogloss:0.014174+0.000111 test-mlogloss:0.990000+0.020353
## [105] train-mlogloss:0.014078+0.000107 test-mlogloss:0.990691+0.019712
## [106] train-mlogloss:0.013990+0.000104 test-mlogloss:0.991744+0.019313
## [107] train-mlogloss:0.013901+0.000108 test-mlogloss:0.992416+0.019096
## [108] train-mlogloss:0.013810+0.000105 test-mlogloss:0.993823+0.018154
## [109] train-mlogloss:0.013723+0.000102 test-mlogloss:0.995065+0.018664
## [110] train-mlogloss:0.013640+0.000106 test-mlogloss:0.996378+0.018955
## [111] train-mlogloss:0.013551+0.000111 test-mlogloss:0.997530+0.019546
## [112] train-mlogloss:0.013454+0.000104 test-mlogloss:0.998582+0.017915
## [113] train-mlogloss:0.013362+0.000100 test-mlogloss:0.999041+0.017830
## [114] train-mlogloss:0.013275+0.000097 test-mlogloss:1.000164+0.017225
## [115] train-mlogloss:0.013190+0.000098 test-mlogloss:1.000347+0.017326
## [116] train-mlogloss:0.013100+0.000093 test-mlogloss:1.000678+0.017401
## [117] train-mlogloss:0.013022+0.000091 test-mlogloss:1.002542+0.018279
## [118] train-mlogloss:0.012944+0.000080 test-mlogloss:1.002807+0.018159
## [119] train-mlogloss:0.012863+0.000077 test-mlogloss:1.003117+0.018074
## [120] train-mlogloss:0.012786+0.000078 test-mlogloss:1.003660+0.019743
## [121] train-mlogloss:0.012713+0.000084 test-mlogloss:1.005952+0.020674
## [122] train-mlogloss:0.012639+0.000081 test-mlogloss:1.006669+0.020296
## [123] train-mlogloss:0.012565+0.000085 test-mlogloss:1.007991+0.020422
## [124] train-mlogloss:0.012496+0.000079 test-mlogloss:1.009195+0.019134
## [125] train-mlogloss:0.012429+0.000066 test-mlogloss:1.010046+0.019916
## [126] train-mlogloss:0.012363+0.000062 test-mlogloss:1.011043+0.020025
## [127] train-mlogloss:0.012294+0.000059 test-mlogloss:1.011452+0.019860
## [128] train-mlogloss:0.012220+0.000068 test-mlogloss:1.012570+0.021087
## [129] train-mlogloss:0.012155+0.000071 test-mlogloss:1.013090+0.021228
## [130] train-mlogloss:0.012089+0.000071 test-mlogloss:1.014048+0.021584
## [131] train-mlogloss:0.012029+0.000073 test-mlogloss:1.014450+0.021730
## [132] train-mlogloss:0.011967+0.000074 test-mlogloss:1.014353+0.020867
## [133] train-mlogloss:0.011906+0.000073 test-mlogloss:1.015379+0.020743
## [134] train-mlogloss:0.011844+0.000078 test-mlogloss:1.015926+0.020962
## [135] train-mlogloss:0.011790+0.000077 test-mlogloss:1.017437+0.021481
## [136] train-mlogloss:0.011734+0.000079 test-mlogloss:1.018350+0.022403
## [137] train-mlogloss:0.011678+0.000078 test-mlogloss:1.019366+0.022813
## [138] train-mlogloss:0.011626+0.000080 test-mlogloss:1.018913+0.022694
## [139] train-mlogloss:0.011581+0.000078 test-mlogloss:1.019205+0.023214
## [140] train-mlogloss:0.011527+0.000075 test-mlogloss:1.020098+0.022609
## [141] train-mlogloss:0.011470+0.000071 test-mlogloss:1.021541+0.021964
## [142] train-mlogloss:0.011411+0.000073 test-mlogloss:1.022953+0.021105
## [143] train-mlogloss:0.011358+0.000074 test-mlogloss:1.022169+0.021683
## [144] train-mlogloss:0.011310+0.000070 test-mlogloss:1.023430+0.020800
## [145] train-mlogloss:0.011252+0.000071 test-mlogloss:1.024483+0.020959
## [146] train-mlogloss:0.011198+0.000070 test-mlogloss:1.025053+0.021141
## [147] train-mlogloss:0.011148+0.000068 test-mlogloss:1.026468+0.021464
## [148] train-mlogloss:0.011094+0.000068 test-mlogloss:1.026949+0.021152
## [149] train-mlogloss:0.011045+0.000067 test-mlogloss:1.028483+0.020629
## [150] train-mlogloss:0.010999+0.000071 test-mlogloss:1.030257+0.021386
## [151] train-mlogloss:0.010954+0.000075 test-mlogloss:1.030233+0.021281
## [152] train-mlogloss:0.010912+0.000078 test-mlogloss:1.031475+0.021944
## [153] train-mlogloss:0.010856+0.000079 test-mlogloss:1.032318+0.022633
## [154] train-mlogloss:0.010808+0.000075 test-mlogloss:1.033363+0.022487
## [155] train-mlogloss:0.010764+0.000075 test-mlogloss:1.034440+0.022282
## [156] train-mlogloss:0.010716+0.000078 test-mlogloss:1.034691+0.021589
## [157] train-mlogloss:0.010671+0.000079 test-mlogloss:1.035183+0.021840
## [158] train-mlogloss:0.010630+0.000073 test-mlogloss:1.036063+0.021281
## [159] train-mlogloss:0.010584+0.000071 test-mlogloss:1.036466+0.021939
## [160] train-mlogloss:0.010541+0.000071 test-mlogloss:1.037439+0.021726
## [161] train-mlogloss:0.010500+0.000070 test-mlogloss:1.038144+0.022195
## [162] train-mlogloss:0.010455+0.000075 test-mlogloss:1.039254+0.022532
## [163] train-mlogloss:0.010413+0.000077 test-mlogloss:1.040558+0.022434
## [164] train-mlogloss:0.010369+0.000080 test-mlogloss:1.041165+0.022065
## [165] train-mlogloss:0.010330+0.000078 test-mlogloss:1.041284+0.023002
## [166] train-mlogloss:0.010293+0.000078 test-mlogloss:1.041722+0.023194
## [167] train-mlogloss:0.010252+0.000074 test-mlogloss:1.042808+0.023783
## [168] train-mlogloss:0.010210+0.000072 test-mlogloss:1.043346+0.023975
## [169] train-mlogloss:0.010169+0.000070 test-mlogloss:1.043749+0.023417
## [170] train-mlogloss:0.010136+0.000069 test-mlogloss:1.044486+0.024055
## [171] train-mlogloss:0.010095+0.000072 test-mlogloss:1.045154+0.024484
## [172] train-mlogloss:0.010055+0.000071 test-mlogloss:1.046285+0.024118
## [173] train-mlogloss:0.010018+0.000071 test-mlogloss:1.046382+0.024226
## [174] train-mlogloss:0.009979+0.000070 test-mlogloss:1.047837+0.023609
## [175] train-mlogloss:0.009944+0.000068 test-mlogloss:1.048381+0.024168
## [176] train-mlogloss:0.009909+0.000071 test-mlogloss:1.049177+0.024906
## [177] train-mlogloss:0.009873+0.000072 test-mlogloss:1.049253+0.025541
## [178] train-mlogloss:0.009838+0.000071 test-mlogloss:1.048811+0.024496
## [179] train-mlogloss:0.009808+0.000067 test-mlogloss:1.049724+0.025141
## [180] train-mlogloss:0.009772+0.000068 test-mlogloss:1.050241+0.026399
## [181] train-mlogloss:0.009735+0.000068 test-mlogloss:1.051289+0.025968
## [182] train-mlogloss:0.009701+0.000067 test-mlogloss:1.051226+0.026154
## [183] train-mlogloss:0.009667+0.000070 test-mlogloss:1.052003+0.026352
## [184] train-mlogloss:0.009631+0.000071 test-mlogloss:1.052598+0.025991
## [185] train-mlogloss:0.009594+0.000069 test-mlogloss:1.053502+0.025506
## [186] train-mlogloss:0.009561+0.000071 test-mlogloss:1.053874+0.025539
## [187] train-mlogloss:0.009528+0.000069 test-mlogloss:1.054554+0.025679
## [188] train-mlogloss:0.009497+0.000067 test-mlogloss:1.055212+0.025583
## [189] train-mlogloss:0.009460+0.000067 test-mlogloss:1.054993+0.025464
## [190] train-mlogloss:0.009427+0.000070 test-mlogloss:1.054728+0.026112
## [191] train-mlogloss:0.009397+0.000070 test-mlogloss:1.054936+0.026207
## [192] train-mlogloss:0.009365+0.000073 test-mlogloss:1.055458+0.026173
## [193] train-mlogloss:0.009336+0.000073 test-mlogloss:1.055868+0.026264
## [194] train-mlogloss:0.009309+0.000073 test-mlogloss:1.056697+0.026528
## [195] train-mlogloss:0.009279+0.000072 test-mlogloss:1.057375+0.026136
## [196] train-mlogloss:0.009247+0.000071 test-mlogloss:1.058522+0.026017
## [197] train-mlogloss:0.009220+0.000069 test-mlogloss:1.059311+0.026217
## [198] train-mlogloss:0.009191+0.000068 test-mlogloss:1.060126+0.026275
## [199] train-mlogloss:0.009162+0.000068 test-mlogloss:1.059813+0.025883
## [200] train-mlogloss:0.009132+0.000065 test-mlogloss:1.060490+0.025490
## [201] train-mlogloss:0.009105+0.000066 test-mlogloss:1.059917+0.025791
## [202] train-mlogloss:0.009074+0.000066 test-mlogloss:1.060005+0.025023
## [203] train-mlogloss:0.009049+0.000067 test-mlogloss:1.060884+0.025834
## [204] train-mlogloss:0.009021+0.000068 test-mlogloss:1.061346+0.025042
## [205] train-mlogloss:0.008996+0.000069 test-mlogloss:1.061977+0.025777
## [206] train-mlogloss:0.008969+0.000069 test-mlogloss:1.062302+0.025486
## [207] train-mlogloss:0.008943+0.000072 test-mlogloss:1.063185+0.025537
## [208] train-mlogloss:0.008914+0.000071 test-mlogloss:1.064177+0.025615
## [209] train-mlogloss:0.008890+0.000073 test-mlogloss:1.064705+0.025234
## [210] train-mlogloss:0.008862+0.000074 test-mlogloss:1.065238+0.025109
## [211] train-mlogloss:0.008835+0.000072 test-mlogloss:1.065123+0.024542
## [212] train-mlogloss:0.008808+0.000074 test-mlogloss:1.066286+0.024182
## [213] train-mlogloss:0.008782+0.000078 test-mlogloss:1.066382+0.023577
## [214] train-mlogloss:0.008755+0.000076 test-mlogloss:1.066244+0.024224
## [215] train-mlogloss:0.008731+0.000074 test-mlogloss:1.066571+0.024733
## [216] train-mlogloss:0.008704+0.000071 test-mlogloss:1.066371+0.024889
## [217] train-mlogloss:0.008681+0.000072 test-mlogloss:1.066839+0.025074
## [218] train-mlogloss:0.008653+0.000072 test-mlogloss:1.067354+0.025162
## [219] train-mlogloss:0.008628+0.000074 test-mlogloss:1.067763+0.025143
## [220] train-mlogloss:0.008603+0.000069 test-mlogloss:1.068123+0.025119
## [221] train-mlogloss:0.008578+0.000069 test-mlogloss:1.068211+0.025144
## [222] train-mlogloss:0.008553+0.000064 test-mlogloss:1.068771+0.025128
## [223] train-mlogloss:0.008530+0.000064 test-mlogloss:1.069498+0.025154
## [224] train-mlogloss:0.008505+0.000065 test-mlogloss:1.070466+0.024702
## [225] train-mlogloss:0.008485+0.000067 test-mlogloss:1.069943+0.025027
## [226] train-mlogloss:0.008462+0.000065 test-mlogloss:1.070694+0.024873
## [227] train-mlogloss:0.008443+0.000069 test-mlogloss:1.071568+0.025509
## [228] train-mlogloss:0.008420+0.000068 test-mlogloss:1.071787+0.025331
## [229] train-mlogloss:0.008400+0.000069 test-mlogloss:1.071677+0.025094
## [230] train-mlogloss:0.008376+0.000065 test-mlogloss:1.072133+0.025613
## [231] train-mlogloss:0.008355+0.000065 test-mlogloss:1.072419+0.025803
## [232] train-mlogloss:0.008331+0.000065 test-mlogloss:1.071739+0.024868
## [233] train-mlogloss:0.008309+0.000065 test-mlogloss:1.072719+0.025391
## [234] train-mlogloss:0.008289+0.000065 test-mlogloss:1.072648+0.026688
## [235] train-mlogloss:0.008268+0.000062 test-mlogloss:1.072937+0.026209
## [236] train-mlogloss:0.008248+0.000062 test-mlogloss:1.073272+0.025930
## [237] train-mlogloss:0.008228+0.000061 test-mlogloss:1.073534+0.025992
## [238] train-mlogloss:0.008210+0.000062 test-mlogloss:1.074138+0.026536
## [239] train-mlogloss:0.008189+0.000065 test-mlogloss:1.074465+0.025240
## [240] train-mlogloss:0.008165+0.000065 test-mlogloss:1.074965+0.026298
## [241] train-mlogloss:0.008146+0.000061 test-mlogloss:1.075336+0.026690
## [242] train-mlogloss:0.008124+0.000061 test-mlogloss:1.075551+0.026233
## [243] train-mlogloss:0.008105+0.000066 test-mlogloss:1.076085+0.025904
## [244] train-mlogloss:0.008087+0.000064 test-mlogloss:1.076350+0.025766
## [245] train-mlogloss:0.008064+0.000064 test-mlogloss:1.076793+0.024904
## [246] train-mlogloss:0.008045+0.000061 test-mlogloss:1.076672+0.026074
## [247] train-mlogloss:0.008023+0.000060 test-mlogloss:1.077624+0.026255
## [248] train-mlogloss:0.008003+0.000062 test-mlogloss:1.077963+0.027523
## [249] train-mlogloss:0.007984+0.000059 test-mlogloss:1.077718+0.026520
## [250] train-mlogloss:0.007968+0.000055 test-mlogloss:1.078821+0.027234
## [251] train-mlogloss:0.007949+0.000058 test-mlogloss:1.078013+0.027209
## [252] train-mlogloss:0.007931+0.000056 test-mlogloss:1.078278+0.027273
## [253] train-mlogloss:0.007913+0.000057 test-mlogloss:1.079402+0.027647
## [254] train-mlogloss:0.007895+0.000057 test-mlogloss:1.079647+0.027659
## [255] train-mlogloss:0.007874+0.000059 test-mlogloss:1.080061+0.027585
## [256] train-mlogloss:0.007855+0.000058 test-mlogloss:1.080616+0.027520
## [257] train-mlogloss:0.007837+0.000058 test-mlogloss:1.080695+0.027824
## [258] train-mlogloss:0.007819+0.000059 test-mlogloss:1.081680+0.027998
## [259] train-mlogloss:0.007801+0.000058 test-mlogloss:1.081208+0.027314
## [260] train-mlogloss:0.007785+0.000058 test-mlogloss:1.081945+0.027494
## [261] train-mlogloss:0.007767+0.000056 test-mlogloss:1.082857+0.027822
## [262] train-mlogloss:0.007749+0.000055 test-mlogloss:1.083811+0.027185
## [263] train-mlogloss:0.007731+0.000054 test-mlogloss:1.083893+0.027261
## [264] train-mlogloss:0.007712+0.000053 test-mlogloss:1.084145+0.027731
## [265] train-mlogloss:0.007696+0.000055 test-mlogloss:1.084187+0.027340
## [266] train-mlogloss:0.007680+0.000055 test-mlogloss:1.084272+0.026851
## [267] train-mlogloss:0.007663+0.000057 test-mlogloss:1.084784+0.027024
## [268] train-mlogloss:0.007645+0.000057 test-mlogloss:1.084647+0.026545
## [269] train-mlogloss:0.007627+0.000056 test-mlogloss:1.084266+0.026082
## [270] train-mlogloss:0.007610+0.000057 test-mlogloss:1.085007+0.026583
## [271] train-mlogloss:0.007593+0.000055 test-mlogloss:1.085141+0.026936
## [272] train-mlogloss:0.007577+0.000056 test-mlogloss:1.085725+0.026867
## [273] train-mlogloss:0.007561+0.000055 test-mlogloss:1.085972+0.026580
## [274] train-mlogloss:0.007545+0.000054 test-mlogloss:1.086903+0.026468
## [275] train-mlogloss:0.007531+0.000057 test-mlogloss:1.086892+0.026858
## [276] train-mlogloss:0.007514+0.000059 test-mlogloss:1.087394+0.026365
## [277] train-mlogloss:0.007497+0.000055 test-mlogloss:1.087620+0.026138
## [278] train-mlogloss:0.007482+0.000054 test-mlogloss:1.087750+0.025501
## [279] train-mlogloss:0.007466+0.000053 test-mlogloss:1.087628+0.025964
## [280] train-mlogloss:0.007447+0.000052 test-mlogloss:1.088152+0.025240
## [281] train-mlogloss:0.007433+0.000054 test-mlogloss:1.088276+0.025728
## [282] train-mlogloss:0.007415+0.000052 test-mlogloss:1.088185+0.025420
## [283] train-mlogloss:0.007396+0.000054 test-mlogloss:1.088665+0.026057
## [284] train-mlogloss:0.007381+0.000054 test-mlogloss:1.089320+0.025998
## [285] train-mlogloss:0.007366+0.000055 test-mlogloss:1.090255+0.026370
## [286] train-mlogloss:0.007352+0.000056 test-mlogloss:1.090864+0.026066
## [287] train-mlogloss:0.007335+0.000058 test-mlogloss:1.090673+0.025969
## [288] train-mlogloss:0.007323+0.000058 test-mlogloss:1.091634+0.026476
## [289] train-mlogloss:0.007311+0.000057 test-mlogloss:1.091735+0.026376
## [290] train-mlogloss:0.007297+0.000054 test-mlogloss:1.091762+0.026186
## [291] train-mlogloss:0.007280+0.000055 test-mlogloss:1.092478+0.026323
## [292] train-mlogloss:0.007266+0.000057 test-mlogloss:1.092428+0.025929
## [293] train-mlogloss:0.007251+0.000056 test-mlogloss:1.093189+0.026481
## [294] train-mlogloss:0.007240+0.000055 test-mlogloss:1.092990+0.026963
## [295] train-mlogloss:0.007225+0.000054 test-mlogloss:1.092851+0.026834
## [296] train-mlogloss:0.007211+0.000056 test-mlogloss:1.093439+0.026471
## [297] train-mlogloss:0.007195+0.000053 test-mlogloss:1.093356+0.026076
## [298] train-mlogloss:0.007184+0.000054 test-mlogloss:1.093347+0.026630
## [299] train-mlogloss:0.007171+0.000054 test-mlogloss:1.094238+0.026311
## [300] train-mlogloss:0.007157+0.000052 test-mlogloss:1.095142+0.025952
## [301] train-mlogloss:0.007143+0.000054 test-mlogloss:1.095141+0.025753
## [302] train-mlogloss:0.007132+0.000054 test-mlogloss:1.095544+0.025762
## [303] train-mlogloss:0.007119+0.000056 test-mlogloss:1.096224+0.025519
## [304] train-mlogloss:0.007106+0.000059 test-mlogloss:1.096297+0.025771
## [305] train-mlogloss:0.007093+0.000055 test-mlogloss:1.097290+0.026421
## [306] train-mlogloss:0.007082+0.000053 test-mlogloss:1.096836+0.026330
## [307] train-mlogloss:0.007068+0.000052 test-mlogloss:1.097085+0.026246
## [308] train-mlogloss:0.007055+0.000053 test-mlogloss:1.097353+0.025918
## [309] train-mlogloss:0.007041+0.000052 test-mlogloss:1.097905+0.026645
## [310] train-mlogloss:0.007028+0.000053 test-mlogloss:1.098392+0.025838
## [311] train-mlogloss:0.007012+0.000052 test-mlogloss:1.098651+0.026490
## [312] train-mlogloss:0.007000+0.000050 test-mlogloss:1.099351+0.027046
## [313] train-mlogloss:0.006987+0.000051 test-mlogloss:1.099188+0.027828
## [314] train-mlogloss:0.006973+0.000052 test-mlogloss:1.100525+0.027095
## [315] train-mlogloss:0.006959+0.000051 test-mlogloss:1.100508+0.026998
## [316] train-mlogloss:0.006947+0.000051 test-mlogloss:1.101181+0.027440
## [317] train-mlogloss:0.006934+0.000052 test-mlogloss:1.102042+0.027775
## [318] train-mlogloss:0.006923+0.000053 test-mlogloss:1.102537+0.028013
## [319] train-mlogloss:0.006910+0.000051 test-mlogloss:1.103194+0.027635
## [320] train-mlogloss:0.006898+0.000052 test-mlogloss:1.102930+0.026945
## [321] train-mlogloss:0.006884+0.000053 test-mlogloss:1.103298+0.027010
## [322] train-mlogloss:0.006872+0.000055 test-mlogloss:1.103864+0.026764
## [323] train-mlogloss:0.006862+0.000055 test-mlogloss:1.103656+0.027423
## [324] train-mlogloss:0.006851+0.000057 test-mlogloss:1.104898+0.027003
## [325] train-mlogloss:0.006837+0.000057 test-mlogloss:1.104547+0.027710
## [326] train-mlogloss:0.006825+0.000056 test-mlogloss:1.105350+0.026506
## [327] train-mlogloss:0.006812+0.000058 test-mlogloss:1.105856+0.027811
## [328] train-mlogloss:0.006803+0.000058 test-mlogloss:1.106478+0.028241
## [329] train-mlogloss:0.006791+0.000060 test-mlogloss:1.106289+0.027283
## [330] train-mlogloss:0.006781+0.000056 test-mlogloss:1.107361+0.026970
## [331] train-mlogloss:0.006768+0.000055 test-mlogloss:1.107644+0.026969
## [332] train-mlogloss:0.006757+0.000054 test-mlogloss:1.107629+0.026534
## [333] train-mlogloss:0.006745+0.000051 test-mlogloss:1.108092+0.027937
## [334] train-mlogloss:0.006732+0.000052 test-mlogloss:1.108081+0.027522
## [335] train-mlogloss:0.006720+0.000051 test-mlogloss:1.108175+0.026754
## [336] train-mlogloss:0.006710+0.000051 test-mlogloss:1.108252+0.026884
## [337] train-mlogloss:0.006699+0.000050 test-mlogloss:1.108468+0.027008
## [338] train-mlogloss:0.006688+0.000052 test-mlogloss:1.108904+0.027134
## [339] train-mlogloss:0.006678+0.000051 test-mlogloss:1.108721+0.026862
## [340] train-mlogloss:0.006668+0.000051 test-mlogloss:1.109324+0.026616
## [341] train-mlogloss:0.006657+0.000053 test-mlogloss:1.110025+0.026741
## [342] train-mlogloss:0.006646+0.000053 test-mlogloss:1.109343+0.025775
## [343] train-mlogloss:0.006635+0.000054 test-mlogloss:1.108934+0.025883
## [344] train-mlogloss:0.006622+0.000052 test-mlogloss:1.109826+0.026087
## [345] train-mlogloss:0.006613+0.000051 test-mlogloss:1.109629+0.025331
## [346] train-mlogloss:0.006600+0.000053 test-mlogloss:1.109708+0.025475
## [347] train-mlogloss:0.006590+0.000053 test-mlogloss:1.110049+0.025337
## [348] train-mlogloss:0.006582+0.000051 test-mlogloss:1.110567+0.025920
## [349] train-mlogloss:0.006572+0.000052 test-mlogloss:1.110702+0.026304
## [350] train-mlogloss:0.006563+0.000052 test-mlogloss:1.110329+0.026207
## [351] train-mlogloss:0.006553+0.000050 test-mlogloss:1.111584+0.026017
## [352] train-mlogloss:0.006543+0.000051 test-mlogloss:1.111722+0.026383
## [353] train-mlogloss:0.006533+0.000051 test-mlogloss:1.111636+0.026165
## [354] train-mlogloss:0.006523+0.000052 test-mlogloss:1.111321+0.026667
## [355] train-mlogloss:0.006512+0.000052 test-mlogloss:1.111642+0.027375
## [356] train-mlogloss:0.006501+0.000052 test-mlogloss:1.111799+0.027226
## [357] train-mlogloss:0.006491+0.000052 test-mlogloss:1.112218+0.027859
## [358] train-mlogloss:0.006480+0.000052 test-mlogloss:1.111593+0.027925
## [359] train-mlogloss:0.006469+0.000053 test-mlogloss:1.111827+0.027922
## [360] train-mlogloss:0.006458+0.000052 test-mlogloss:1.112861+0.028203
## [361] train-mlogloss:0.006448+0.000052 test-mlogloss:1.113086+0.027953
## [362] train-mlogloss:0.006438+0.000053 test-mlogloss:1.113504+0.028142
## [363] train-mlogloss:0.006428+0.000054 test-mlogloss:1.113287+0.028137
## [364] train-mlogloss:0.006418+0.000052 test-mlogloss:1.113384+0.027702
## [365] train-mlogloss:0.006409+0.000050 test-mlogloss:1.113251+0.027552
## [366] train-mlogloss:0.006398+0.000049 test-mlogloss:1.114647+0.027353
## [367] train-mlogloss:0.006389+0.000050 test-mlogloss:1.115134+0.026916
## [368] train-mlogloss:0.006379+0.000051 test-mlogloss:1.114773+0.027404
## [369] train-mlogloss:0.006369+0.000053 test-mlogloss:1.114890+0.026789
## [370] train-mlogloss:0.006362+0.000054 test-mlogloss:1.115079+0.027239
## [371] train-mlogloss:0.006351+0.000054 test-mlogloss:1.115605+0.027514
## [372] train-mlogloss:0.006342+0.000054 test-mlogloss:1.115857+0.027937
## [373] train-mlogloss:0.006332+0.000056 test-mlogloss:1.116563+0.028247
## [374] train-mlogloss:0.006322+0.000055 test-mlogloss:1.116501+0.027934
## [375] train-mlogloss:0.006314+0.000056 test-mlogloss:1.116428+0.028275
## [376] train-mlogloss:0.006304+0.000055 test-mlogloss:1.117205+0.028203
## [377] train-mlogloss:0.006295+0.000055 test-mlogloss:1.117710+0.028603
## [378] train-mlogloss:0.006287+0.000055 test-mlogloss:1.118160+0.028222
## [379] train-mlogloss:0.006277+0.000055 test-mlogloss:1.118272+0.029068
## [380] train-mlogloss:0.006269+0.000056 test-mlogloss:1.117870+0.028259
## [381] train-mlogloss:0.006260+0.000056 test-mlogloss:1.118402+0.028009
## [382] train-mlogloss:0.006251+0.000055 test-mlogloss:1.118670+0.029124
## [383] train-mlogloss:0.006241+0.000056 test-mlogloss:1.118991+0.028844
## [384] train-mlogloss:0.006232+0.000058 test-mlogloss:1.119477+0.029031
## [385] train-mlogloss:0.006225+0.000055 test-mlogloss:1.119598+0.028958
## [386] train-mlogloss:0.006217+0.000056 test-mlogloss:1.120323+0.028832
## [387] train-mlogloss:0.006209+0.000053 test-mlogloss:1.120189+0.028222
## [388] train-mlogloss:0.006199+0.000053 test-mlogloss:1.120621+0.028668
## [389] train-mlogloss:0.006189+0.000053 test-mlogloss:1.120450+0.028667
## [390] train-mlogloss:0.006181+0.000053 test-mlogloss:1.120588+0.028331
## [391] train-mlogloss:0.006172+0.000054 test-mlogloss:1.120585+0.029118
## [392] train-mlogloss:0.006163+0.000053 test-mlogloss:1.121776+0.029098
## [393] train-mlogloss:0.006154+0.000054 test-mlogloss:1.121312+0.028936
## [394] train-mlogloss:0.006145+0.000055 test-mlogloss:1.122422+0.028911
## [395] train-mlogloss:0.006137+0.000055 test-mlogloss:1.122756+0.028617
## [396] train-mlogloss:0.006128+0.000054 test-mlogloss:1.123481+0.028924
## [397] train-mlogloss:0.006122+0.000054 test-mlogloss:1.123017+0.029017
## [398] train-mlogloss:0.006113+0.000055 test-mlogloss:1.124097+0.029137
## [399] train-mlogloss:0.006105+0.000054 test-mlogloss:1.123453+0.028761
## [400] train-mlogloss:0.006094+0.000052 test-mlogloss:1.124353+0.029595
## [401] train-mlogloss:0.006088+0.000052 test-mlogloss:1.124212+0.029509
## [402] train-mlogloss:0.006078+0.000050 test-mlogloss:1.124815+0.030151
## [403] train-mlogloss:0.006072+0.000052 test-mlogloss:1.124357+0.030191
## [404] train-mlogloss:0.006063+0.000052 test-mlogloss:1.124532+0.030358
## [405] train-mlogloss:0.006054+0.000054 test-mlogloss:1.124809+0.029099
## [406] train-mlogloss:0.006046+0.000053 test-mlogloss:1.125205+0.029336
## [407] train-mlogloss:0.006039+0.000053 test-mlogloss:1.124761+0.028894
## [408] train-mlogloss:0.006031+0.000053 test-mlogloss:1.125148+0.029000
## [409] train-mlogloss:0.006025+0.000052 test-mlogloss:1.125690+0.029210
## [410] train-mlogloss:0.006016+0.000052 test-mlogloss:1.126085+0.029225
## [411] train-mlogloss:0.006010+0.000051 test-mlogloss:1.126523+0.029524
## [412] train-mlogloss:0.006002+0.000051 test-mlogloss:1.126481+0.029443
## [413] train-mlogloss:0.005994+0.000051 test-mlogloss:1.126686+0.028903
## [414] train-mlogloss:0.005985+0.000052 test-mlogloss:1.127295+0.028912
## [415] train-mlogloss:0.005979+0.000052 test-mlogloss:1.127345+0.029456
## [416] train-mlogloss:0.005971+0.000051 test-mlogloss:1.127740+0.029235
## [417] train-mlogloss:0.005963+0.000051 test-mlogloss:1.128141+0.028990
## [418] train-mlogloss:0.005957+0.000052 test-mlogloss:1.127384+0.029648
## [419] train-mlogloss:0.005949+0.000051 test-mlogloss:1.127881+0.028810
## [420] train-mlogloss:0.005940+0.000051 test-mlogloss:1.128865+0.028897
## [421] train-mlogloss:0.005933+0.000050 test-mlogloss:1.128955+0.028667
## [422] train-mlogloss:0.005926+0.000051 test-mlogloss:1.129223+0.028169
## [423] train-mlogloss:0.005919+0.000051 test-mlogloss:1.129797+0.027930
## [424] train-mlogloss:0.005912+0.000050 test-mlogloss:1.129730+0.028363
## [425] train-mlogloss:0.005904+0.000051 test-mlogloss:1.130345+0.029380
## [426] train-mlogloss:0.005896+0.000050 test-mlogloss:1.130569+0.029501
## [427] train-mlogloss:0.005888+0.000049 test-mlogloss:1.131018+0.029598
## [428] train-mlogloss:0.005881+0.000048 test-mlogloss:1.131086+0.028889
## [429] train-mlogloss:0.005873+0.000046 test-mlogloss:1.131406+0.028960
## [430] train-mlogloss:0.005866+0.000046 test-mlogloss:1.131452+0.028927
## [431] train-mlogloss:0.005859+0.000045 test-mlogloss:1.132009+0.028166
## [432] train-mlogloss:0.005851+0.000046 test-mlogloss:1.132208+0.028957
## [433] train-mlogloss:0.005843+0.000044 test-mlogloss:1.132089+0.028176
## [434] train-mlogloss:0.005835+0.000045 test-mlogloss:1.131654+0.028536
## [435] train-mlogloss:0.005830+0.000046 test-mlogloss:1.132280+0.028388
## [436] train-mlogloss:0.005821+0.000047 test-mlogloss:1.133018+0.029055
## [437] train-mlogloss:0.005812+0.000046 test-mlogloss:1.132808+0.029391
## [438] train-mlogloss:0.005805+0.000046 test-mlogloss:1.133341+0.030024
## [439] train-mlogloss:0.005798+0.000045 test-mlogloss:1.133507+0.030367
## [440] train-mlogloss:0.005791+0.000046 test-mlogloss:1.132991+0.030530
## [441] train-mlogloss:0.005784+0.000046 test-mlogloss:1.133246+0.029996
## [442] train-mlogloss:0.005777+0.000046 test-mlogloss:1.133608+0.030859
## [443] train-mlogloss:0.005769+0.000047 test-mlogloss:1.134729+0.030509
## [444] train-mlogloss:0.005762+0.000048 test-mlogloss:1.134604+0.030187
## [445] train-mlogloss:0.005755+0.000049 test-mlogloss:1.135017+0.029450
## [446] train-mlogloss:0.005748+0.000048 test-mlogloss:1.134744+0.029803
## [447] train-mlogloss:0.005743+0.000049 test-mlogloss:1.135092+0.030103
## [448] train-mlogloss:0.005736+0.000049 test-mlogloss:1.135360+0.030305
## [449] train-mlogloss:0.005731+0.000050 test-mlogloss:1.135494+0.030360
## [450] train-mlogloss:0.005725+0.000049 test-mlogloss:1.135742+0.030018
## [451] train-mlogloss:0.005719+0.000049 test-mlogloss:1.134993+0.030335
## [452] train-mlogloss:0.005712+0.000048 test-mlogloss:1.135342+0.030112
## [453] train-mlogloss:0.005703+0.000049 test-mlogloss:1.135641+0.030021
## [454] train-mlogloss:0.005695+0.000051 test-mlogloss:1.136189+0.029950
## [455] train-mlogloss:0.005688+0.000051 test-mlogloss:1.136427+0.028935
## [456] train-mlogloss:0.005682+0.000050 test-mlogloss:1.137223+0.029296
## [457] train-mlogloss:0.005675+0.000049 test-mlogloss:1.137507+0.029711
## [458] train-mlogloss:0.005667+0.000049 test-mlogloss:1.137155+0.029479
## [459] train-mlogloss:0.005661+0.000048 test-mlogloss:1.137844+0.030270
## [460] train-mlogloss:0.005653+0.000047 test-mlogloss:1.137847+0.029648
## [461] train-mlogloss:0.005646+0.000048 test-mlogloss:1.138340+0.030189
## [462] train-mlogloss:0.005640+0.000047 test-mlogloss:1.138562+0.029530
## [463] train-mlogloss:0.005635+0.000048 test-mlogloss:1.139299+0.029267
## [464] train-mlogloss:0.005628+0.000048 test-mlogloss:1.138918+0.029511
## [465] train-mlogloss:0.005621+0.000047 test-mlogloss:1.139365+0.029517
## [466] train-mlogloss:0.005614+0.000046 test-mlogloss:1.139586+0.029940
## [467] train-mlogloss:0.005607+0.000046 test-mlogloss:1.139791+0.030193
## [468] train-mlogloss:0.005602+0.000046 test-mlogloss:1.139786+0.029619
## [469] train-mlogloss:0.005598+0.000045 test-mlogloss:1.140388+0.029257
## [470] train-mlogloss:0.005592+0.000045 test-mlogloss:1.140574+0.029295
## [471] train-mlogloss:0.005585+0.000046 test-mlogloss:1.141714+0.029386
## [472] train-mlogloss:0.005578+0.000046 test-mlogloss:1.141947+0.029629
## [473] train-mlogloss:0.005571+0.000045 test-mlogloss:1.141600+0.029077
## [474] train-mlogloss:0.005565+0.000043 test-mlogloss:1.141768+0.029618
## [475] train-mlogloss:0.005560+0.000043 test-mlogloss:1.141850+0.029473
## [476] train-mlogloss:0.005552+0.000043 test-mlogloss:1.142454+0.030745
## [477] train-mlogloss:0.005546+0.000043 test-mlogloss:1.142212+0.030128
## [478] train-mlogloss:0.005538+0.000044 test-mlogloss:1.143044+0.030210
## [479] train-mlogloss:0.005533+0.000044 test-mlogloss:1.143047+0.030149
## [480] train-mlogloss:0.005526+0.000044 test-mlogloss:1.143357+0.030043
## [481] train-mlogloss:0.005520+0.000044 test-mlogloss:1.144274+0.029229
## [482] train-mlogloss:0.005515+0.000045 test-mlogloss:1.143466+0.029324
## [483] train-mlogloss:0.005510+0.000044 test-mlogloss:1.144344+0.029607
## [484] train-mlogloss:0.005504+0.000043 test-mlogloss:1.144120+0.029891
## [485] train-mlogloss:0.005498+0.000045 test-mlogloss:1.144534+0.029918
## [486] train-mlogloss:0.005494+0.000046 test-mlogloss:1.144503+0.029317
## [487] train-mlogloss:0.005487+0.000045 test-mlogloss:1.144738+0.029146
## [488] train-mlogloss:0.005482+0.000046 test-mlogloss:1.145260+0.029298
## [489] train-mlogloss:0.005476+0.000047 test-mlogloss:1.145711+0.029989
## [490] train-mlogloss:0.005470+0.000045 test-mlogloss:1.145400+0.029756
## [491] train-mlogloss:0.005465+0.000045 test-mlogloss:1.145448+0.029664
## [492] train-mlogloss:0.005458+0.000045 test-mlogloss:1.146027+0.029847
## [493] train-mlogloss:0.005453+0.000046 test-mlogloss:1.146373+0.030249
## [494] train-mlogloss:0.005447+0.000045 test-mlogloss:1.145930+0.030721
## [495] train-mlogloss:0.005440+0.000044 test-mlogloss:1.145741+0.030783
## [496] train-mlogloss:0.005434+0.000044 test-mlogloss:1.146181+0.031048
## [497] train-mlogloss:0.005429+0.000043 test-mlogloss:1.145946+0.031761
## [498] train-mlogloss:0.005424+0.000044 test-mlogloss:1.146548+0.030696
## [499] train-mlogloss:0.005417+0.000043 test-mlogloss:1.146196+0.030919
## [500] train-mlogloss:0.005411+0.000044 test-mlogloss:1.146804+0.031206
## [1] train-mlogloss:0.615606+0.001830 test-mlogloss:0.622237+0.002282
## [2] train-mlogloss:0.571162+0.002080 test-mlogloss:0.584790+0.004854
## [3] train-mlogloss:0.543992+0.002782 test-mlogloss:0.563244+0.006500
## [4] train-mlogloss:0.526100+0.003054 test-mlogloss:0.550949+0.007429
## [5] train-mlogloss:0.513704+0.003107 test-mlogloss:0.543620+0.008421
## [6] train-mlogloss:0.504841+0.003585 test-mlogloss:0.540092+0.008955
## [7] train-mlogloss:0.497856+0.004100 test-mlogloss:0.538281+0.010190
## [8] train-mlogloss:0.492162+0.003739 test-mlogloss:0.537740+0.010892
## [9] train-mlogloss:0.487376+0.004248 test-mlogloss:0.536820+0.011628
## [10] train-mlogloss:0.483553+0.004289 test-mlogloss:0.536560+0.011825
## [11] train-mlogloss:0.480765+0.003895 test-mlogloss:0.536884+0.011666
## [12] train-mlogloss:0.478394+0.003909 test-mlogloss:0.536506+0.011890
## [13] train-mlogloss:0.476407+0.003524 test-mlogloss:0.536134+0.012200
## [14] train-mlogloss:0.474280+0.003697 test-mlogloss:0.536511+0.012288
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## [24] train-mlogloss:0.455971+0.004946 test-mlogloss:0.538775+0.013762
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## [30] train-mlogloss:0.444134+0.005077 test-mlogloss:0.542015+0.014713
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## [48] train-mlogloss:0.408660+0.005489 test-mlogloss:0.548822+0.017914
## [49] train-mlogloss:0.407044+0.005318 test-mlogloss:0.548989+0.017933
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## [51] train-mlogloss:0.403388+0.005812 test-mlogloss:0.550246+0.018079
## [52] train-mlogloss:0.401977+0.005931 test-mlogloss:0.550661+0.018145
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## [58] train-mlogloss:0.390520+0.006525 test-mlogloss:0.553368+0.018913
## [59] train-mlogloss:0.389135+0.006946 test-mlogloss:0.554116+0.019307
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## [61] train-mlogloss:0.385877+0.007436 test-mlogloss:0.554586+0.019426
## [62] train-mlogloss:0.383971+0.007601 test-mlogloss:0.555320+0.019511
## [63] train-mlogloss:0.381395+0.007241 test-mlogloss:0.555930+0.019758
## [64] train-mlogloss:0.379513+0.006704 test-mlogloss:0.555758+0.019827
## [65] train-mlogloss:0.377994+0.006522 test-mlogloss:0.555981+0.019719
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## [77] train-mlogloss:0.358732+0.007340 test-mlogloss:0.560436+0.021863
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## [80] train-mlogloss:0.355378+0.006707 test-mlogloss:0.561776+0.021767
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## [88] train-mlogloss:0.344966+0.006024 test-mlogloss:0.564694+0.023082
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## [91] train-mlogloss:0.340976+0.005902 test-mlogloss:0.565553+0.023253
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## [93] train-mlogloss:0.337818+0.004914 test-mlogloss:0.566482+0.022913
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## [227] train-mlogloss:0.209647+0.004913 test-mlogloss:0.622536+0.027323
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## [229] train-mlogloss:0.208561+0.005132 test-mlogloss:0.623660+0.027727
## [230] train-mlogloss:0.207505+0.005129 test-mlogloss:0.623941+0.027720
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## [232] train-mlogloss:0.205922+0.005445 test-mlogloss:0.624839+0.028263
## [233] train-mlogloss:0.205218+0.005281 test-mlogloss:0.625235+0.027984
## [234] train-mlogloss:0.204694+0.005284 test-mlogloss:0.625785+0.028475
## [235] train-mlogloss:0.204103+0.005357 test-mlogloss:0.626249+0.028281
## [236] train-mlogloss:0.203500+0.005307 test-mlogloss:0.626471+0.028290
## [237] train-mlogloss:0.202746+0.005075 test-mlogloss:0.626861+0.028369
## [238] train-mlogloss:0.202076+0.004959 test-mlogloss:0.627803+0.028831
## [239] train-mlogloss:0.201261+0.004650 test-mlogloss:0.628401+0.028546
## [240] train-mlogloss:0.200740+0.004594 test-mlogloss:0.628854+0.028976
## [241] train-mlogloss:0.199975+0.005092 test-mlogloss:0.629379+0.029326
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## [244] train-mlogloss:0.198150+0.005320 test-mlogloss:0.630210+0.029602
## [245] train-mlogloss:0.197628+0.005217 test-mlogloss:0.630548+0.029627
## [246] train-mlogloss:0.197333+0.005046 test-mlogloss:0.630864+0.029626
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## [250] train-mlogloss:0.194155+0.004886 test-mlogloss:0.632598+0.029261
## [251] train-mlogloss:0.193394+0.005086 test-mlogloss:0.633087+0.029479
## [252] train-mlogloss:0.192720+0.004925 test-mlogloss:0.633233+0.029419
## [253] train-mlogloss:0.191960+0.005115 test-mlogloss:0.633706+0.029623
## [254] train-mlogloss:0.191170+0.004936 test-mlogloss:0.634101+0.029839
## [255] train-mlogloss:0.190434+0.004942 test-mlogloss:0.634102+0.030246
## [256] train-mlogloss:0.189912+0.004910 test-mlogloss:0.634376+0.030151
## [257] train-mlogloss:0.189286+0.004929 test-mlogloss:0.634614+0.030050
## [258] train-mlogloss:0.188421+0.005222 test-mlogloss:0.635444+0.030431
## [259] train-mlogloss:0.188016+0.005296 test-mlogloss:0.635603+0.030379
## [260] train-mlogloss:0.187281+0.005338 test-mlogloss:0.635738+0.030198
## [261] train-mlogloss:0.186558+0.005482 test-mlogloss:0.636203+0.030348
## [262] train-mlogloss:0.185875+0.005475 test-mlogloss:0.636484+0.030759
## [263] train-mlogloss:0.185255+0.005442 test-mlogloss:0.636760+0.030972
## [264] train-mlogloss:0.184622+0.005767 test-mlogloss:0.637548+0.031262
## [265] train-mlogloss:0.183835+0.005719 test-mlogloss:0.638300+0.031348
## [266] train-mlogloss:0.183105+0.005612 test-mlogloss:0.638763+0.031624
## [267] train-mlogloss:0.182717+0.005459 test-mlogloss:0.639044+0.031507
## [268] train-mlogloss:0.182261+0.005342 test-mlogloss:0.639229+0.031448
## [269] train-mlogloss:0.181753+0.005314 test-mlogloss:0.639703+0.031653
## [270] train-mlogloss:0.181279+0.005266 test-mlogloss:0.640120+0.031650
## [271] train-mlogloss:0.181075+0.005140 test-mlogloss:0.640300+0.031593
## [272] train-mlogloss:0.180755+0.005157 test-mlogloss:0.640690+0.031440
## [273] train-mlogloss:0.180367+0.005026 test-mlogloss:0.641098+0.031479
## [274] train-mlogloss:0.179802+0.004950 test-mlogloss:0.641520+0.031247
## [275] train-mlogloss:0.179420+0.005035 test-mlogloss:0.641773+0.031089
## [276] train-mlogloss:0.178972+0.005091 test-mlogloss:0.642112+0.031236
## [277] train-mlogloss:0.178361+0.005062 test-mlogloss:0.642366+0.031714
## [278] train-mlogloss:0.178063+0.005150 test-mlogloss:0.642892+0.031715
## [279] train-mlogloss:0.177438+0.005237 test-mlogloss:0.642874+0.031769
## [280] train-mlogloss:0.176771+0.005385 test-mlogloss:0.643324+0.031877
## [281] train-mlogloss:0.176120+0.004871 test-mlogloss:0.643479+0.031852
## [282] train-mlogloss:0.175836+0.004753 test-mlogloss:0.643559+0.031752
## [283] train-mlogloss:0.175426+0.004613 test-mlogloss:0.643733+0.031629
## [284] train-mlogloss:0.174921+0.004647 test-mlogloss:0.644036+0.031634
## [285] train-mlogloss:0.174467+0.004832 test-mlogloss:0.644389+0.031953
## [286] train-mlogloss:0.174243+0.004914 test-mlogloss:0.644534+0.032124
## [287] train-mlogloss:0.173758+0.004972 test-mlogloss:0.644918+0.032435
## [288] train-mlogloss:0.173197+0.004866 test-mlogloss:0.645001+0.032214
## [289] train-mlogloss:0.172778+0.004900 test-mlogloss:0.645228+0.032268
## [290] train-mlogloss:0.172247+0.005089 test-mlogloss:0.645626+0.032448
## [291] train-mlogloss:0.171736+0.005316 test-mlogloss:0.645764+0.032626
## [292] train-mlogloss:0.171290+0.005230 test-mlogloss:0.646246+0.032624
## [293] train-mlogloss:0.170761+0.005042 test-mlogloss:0.646636+0.032608
## [294] train-mlogloss:0.170190+0.005037 test-mlogloss:0.646828+0.032475
## [295] train-mlogloss:0.169647+0.004852 test-mlogloss:0.647056+0.032406
## [296] train-mlogloss:0.169122+0.004833 test-mlogloss:0.647468+0.032325
## [297] train-mlogloss:0.168584+0.004961 test-mlogloss:0.647823+0.032227
## [298] train-mlogloss:0.168135+0.005166 test-mlogloss:0.648021+0.032575
## [299] train-mlogloss:0.167510+0.005119 test-mlogloss:0.648334+0.032444
## [300] train-mlogloss:0.166882+0.005083 test-mlogloss:0.648638+0.032473
## [301] train-mlogloss:0.166522+0.005059 test-mlogloss:0.648923+0.032450
## [302] train-mlogloss:0.165961+0.005070 test-mlogloss:0.649158+0.032879
## [303] train-mlogloss:0.165360+0.005329 test-mlogloss:0.649762+0.032880
## [304] train-mlogloss:0.165110+0.005261 test-mlogloss:0.650115+0.032836
## [305] train-mlogloss:0.164672+0.005297 test-mlogloss:0.650333+0.032958
## [306] train-mlogloss:0.164086+0.005125 test-mlogloss:0.650598+0.032616
## [307] train-mlogloss:0.163451+0.005144 test-mlogloss:0.650923+0.032426
## [308] train-mlogloss:0.162915+0.005088 test-mlogloss:0.651491+0.032480
## [309] train-mlogloss:0.162359+0.005124 test-mlogloss:0.652022+0.032981
## [310] train-mlogloss:0.161998+0.005114 test-mlogloss:0.652356+0.033421
## [311] train-mlogloss:0.161500+0.005325 test-mlogloss:0.652742+0.033332
## [312] train-mlogloss:0.161002+0.005466 test-mlogloss:0.653342+0.033396
## [313] train-mlogloss:0.160462+0.005350 test-mlogloss:0.653968+0.033491
## [314] train-mlogloss:0.160226+0.005496 test-mlogloss:0.654483+0.033651
## [315] train-mlogloss:0.159756+0.005333 test-mlogloss:0.654708+0.033598
## [316] train-mlogloss:0.159283+0.005421 test-mlogloss:0.655034+0.033589
## [317] train-mlogloss:0.158598+0.005502 test-mlogloss:0.655547+0.033766
## [318] train-mlogloss:0.158155+0.005355 test-mlogloss:0.655928+0.033876
## [319] train-mlogloss:0.157828+0.005579 test-mlogloss:0.656067+0.034095
## [320] train-mlogloss:0.157438+0.005546 test-mlogloss:0.656378+0.034230
## [321] train-mlogloss:0.157139+0.005534 test-mlogloss:0.656567+0.034166
## [322] train-mlogloss:0.156746+0.005507 test-mlogloss:0.656626+0.034256
## [323] train-mlogloss:0.156204+0.005320 test-mlogloss:0.656886+0.034207
## [324] train-mlogloss:0.155944+0.005285 test-mlogloss:0.657021+0.034176
## [325] train-mlogloss:0.155399+0.005307 test-mlogloss:0.657293+0.033869
## [326] train-mlogloss:0.155018+0.005220 test-mlogloss:0.657484+0.034160
## [327] train-mlogloss:0.154534+0.005268 test-mlogloss:0.658141+0.034409
## [328] train-mlogloss:0.154357+0.005209 test-mlogloss:0.658310+0.034368
## [329] train-mlogloss:0.153924+0.005256 test-mlogloss:0.658638+0.034579
## [330] train-mlogloss:0.153627+0.005229 test-mlogloss:0.658848+0.034721
## [331] train-mlogloss:0.153435+0.005226 test-mlogloss:0.659018+0.034768
## [332] train-mlogloss:0.153210+0.005384 test-mlogloss:0.659336+0.035045
## [333] train-mlogloss:0.152679+0.005419 test-mlogloss:0.659980+0.035130
## [334] train-mlogloss:0.152142+0.005275 test-mlogloss:0.660115+0.035199
## [335] train-mlogloss:0.151700+0.005315 test-mlogloss:0.660410+0.035348
## [336] train-mlogloss:0.151192+0.005411 test-mlogloss:0.661152+0.035972
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## [338] train-mlogloss:0.150361+0.005311 test-mlogloss:0.661793+0.035833
## [339] train-mlogloss:0.149862+0.005446 test-mlogloss:0.662027+0.036006
## [340] train-mlogloss:0.149490+0.005549 test-mlogloss:0.662401+0.036283
## [341] train-mlogloss:0.149038+0.005559 test-mlogloss:0.663268+0.036580
## [342] train-mlogloss:0.148899+0.005525 test-mlogloss:0.663478+0.036655
## [343] train-mlogloss:0.148497+0.005502 test-mlogloss:0.664201+0.036854
## [344] train-mlogloss:0.148031+0.005552 test-mlogloss:0.664675+0.036647
## [345] train-mlogloss:0.147428+0.005359 test-mlogloss:0.665274+0.036409
## [346] train-mlogloss:0.146964+0.005317 test-mlogloss:0.665488+0.036355
## [347] train-mlogloss:0.146444+0.005519 test-mlogloss:0.665695+0.036289
## [348] train-mlogloss:0.146158+0.005507 test-mlogloss:0.665888+0.036440
## [349] train-mlogloss:0.145919+0.005606 test-mlogloss:0.666013+0.036573
## [350] train-mlogloss:0.145498+0.005671 test-mlogloss:0.666190+0.036878
## [351] train-mlogloss:0.145051+0.005747 test-mlogloss:0.666511+0.037153
## [352] train-mlogloss:0.144474+0.005856 test-mlogloss:0.666977+0.037366
## [353] train-mlogloss:0.144087+0.005833 test-mlogloss:0.667425+0.037410
## [354] train-mlogloss:0.143893+0.005849 test-mlogloss:0.667585+0.037413
## [355] train-mlogloss:0.143641+0.005869 test-mlogloss:0.667600+0.037691
## [356] train-mlogloss:0.143198+0.005695 test-mlogloss:0.668126+0.037679
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## [359] train-mlogloss:0.141909+0.005774 test-mlogloss:0.669343+0.038041
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## [364] train-mlogloss:0.139853+0.005408 test-mlogloss:0.670931+0.038535
## [365] train-mlogloss:0.139397+0.005376 test-mlogloss:0.670944+0.038614
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## [367] train-mlogloss:0.138816+0.005304 test-mlogloss:0.671197+0.038602
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## [369] train-mlogloss:0.138140+0.005261 test-mlogloss:0.671908+0.038591
## [370] train-mlogloss:0.137751+0.005094 test-mlogloss:0.672130+0.038539
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## [374] train-mlogloss:0.135874+0.005028 test-mlogloss:0.673368+0.038366
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## [378] train-mlogloss:0.134667+0.005100 test-mlogloss:0.674269+0.038832
## [379] train-mlogloss:0.134084+0.004861 test-mlogloss:0.674512+0.038684
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## [383] train-mlogloss:0.132611+0.004843 test-mlogloss:0.675424+0.039204
## [384] train-mlogloss:0.132263+0.004894 test-mlogloss:0.675726+0.039202
## [385] train-mlogloss:0.131951+0.004841 test-mlogloss:0.675829+0.039398
## [386] train-mlogloss:0.131492+0.004749 test-mlogloss:0.676284+0.039724
## [387] train-mlogloss:0.131283+0.004840 test-mlogloss:0.676683+0.039847
## [388] train-mlogloss:0.130802+0.004807 test-mlogloss:0.676961+0.039878
## [389] train-mlogloss:0.130332+0.004681 test-mlogloss:0.677590+0.039815
## [390] train-mlogloss:0.130130+0.004542 test-mlogloss:0.677982+0.039885
## [391] train-mlogloss:0.129926+0.004568 test-mlogloss:0.678159+0.039817
## [392] train-mlogloss:0.129593+0.004416 test-mlogloss:0.678671+0.039799
## [393] train-mlogloss:0.129186+0.004471 test-mlogloss:0.679286+0.039664
## [394] train-mlogloss:0.128900+0.004460 test-mlogloss:0.679538+0.039824
## [395] train-mlogloss:0.128644+0.004489 test-mlogloss:0.679943+0.039935
## [396] train-mlogloss:0.128359+0.004435 test-mlogloss:0.680209+0.039863
## [397] train-mlogloss:0.127929+0.004491 test-mlogloss:0.680705+0.040082
## [398] train-mlogloss:0.127463+0.004661 test-mlogloss:0.681133+0.040337
## [399] train-mlogloss:0.126993+0.004553 test-mlogloss:0.681628+0.040504
## [400] train-mlogloss:0.126594+0.004522 test-mlogloss:0.682113+0.040361
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## [402] train-mlogloss:0.125807+0.004554 test-mlogloss:0.682703+0.040184
## [403] train-mlogloss:0.125380+0.004561 test-mlogloss:0.683057+0.040460
## [404] train-mlogloss:0.124967+0.004443 test-mlogloss:0.683530+0.040563
## [405] train-mlogloss:0.124656+0.004457 test-mlogloss:0.684042+0.040403
## [406] train-mlogloss:0.124337+0.004501 test-mlogloss:0.684558+0.040715
## [407] train-mlogloss:0.124000+0.004500 test-mlogloss:0.685454+0.040673
## [408] train-mlogloss:0.123668+0.004422 test-mlogloss:0.685954+0.040881
## [409] train-mlogloss:0.123329+0.004499 test-mlogloss:0.686344+0.041312
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## [411] train-mlogloss:0.122523+0.004639 test-mlogloss:0.687180+0.041371
## [412] train-mlogloss:0.122013+0.004481 test-mlogloss:0.687761+0.041714
## [413] train-mlogloss:0.121734+0.004470 test-mlogloss:0.688221+0.041817
## [414] train-mlogloss:0.121443+0.004426 test-mlogloss:0.688517+0.041948
## [415] train-mlogloss:0.121155+0.004497 test-mlogloss:0.688957+0.042019
## [416] train-mlogloss:0.120945+0.004628 test-mlogloss:0.689267+0.042132
## [417] train-mlogloss:0.120486+0.004427 test-mlogloss:0.689815+0.041778
## [418] train-mlogloss:0.120010+0.004523 test-mlogloss:0.690034+0.041689
## [419] train-mlogloss:0.119752+0.004432 test-mlogloss:0.690261+0.041687
## [420] train-mlogloss:0.119470+0.004466 test-mlogloss:0.690587+0.041827
## [421] train-mlogloss:0.119232+0.004454 test-mlogloss:0.690785+0.041961
## [422] train-mlogloss:0.118715+0.004570 test-mlogloss:0.691474+0.042077
## [423] train-mlogloss:0.118446+0.004477 test-mlogloss:0.691717+0.042128
## [424] train-mlogloss:0.118106+0.004225 test-mlogloss:0.692147+0.042257
## [425] train-mlogloss:0.117746+0.004218 test-mlogloss:0.692561+0.042236
## [426] train-mlogloss:0.117470+0.004118 test-mlogloss:0.692641+0.042125
## [427] train-mlogloss:0.117195+0.004176 test-mlogloss:0.692906+0.042186
## [428] train-mlogloss:0.116944+0.004155 test-mlogloss:0.692980+0.042249
## [429] train-mlogloss:0.116565+0.004268 test-mlogloss:0.693501+0.042273
## [430] train-mlogloss:0.116204+0.004378 test-mlogloss:0.694088+0.042614
## [431] train-mlogloss:0.115942+0.004388 test-mlogloss:0.694248+0.042750
## [432] train-mlogloss:0.115683+0.004317 test-mlogloss:0.694542+0.042848
## [433] train-mlogloss:0.115286+0.004096 test-mlogloss:0.694919+0.042771
## [434] train-mlogloss:0.114813+0.003932 test-mlogloss:0.695240+0.043171
## [435] train-mlogloss:0.114524+0.003922 test-mlogloss:0.695499+0.043121
## [436] train-mlogloss:0.114187+0.003903 test-mlogloss:0.695883+0.043306
## [437] train-mlogloss:0.113906+0.003955 test-mlogloss:0.696625+0.043097
## [438] train-mlogloss:0.113692+0.003922 test-mlogloss:0.697099+0.042887
## [439] train-mlogloss:0.113532+0.003800 test-mlogloss:0.697255+0.042917
## [440] train-mlogloss:0.113321+0.003854 test-mlogloss:0.697465+0.042899
## [441] train-mlogloss:0.112967+0.003957 test-mlogloss:0.698100+0.042954
## [442] train-mlogloss:0.112680+0.004099 test-mlogloss:0.698527+0.043224
## [443] train-mlogloss:0.112467+0.004181 test-mlogloss:0.698895+0.043478
## [444] train-mlogloss:0.112317+0.004262 test-mlogloss:0.699069+0.043404
## [445] train-mlogloss:0.111989+0.004213 test-mlogloss:0.699449+0.043643
## [446] train-mlogloss:0.111786+0.004212 test-mlogloss:0.699708+0.043653
## [447] train-mlogloss:0.111527+0.004251 test-mlogloss:0.699934+0.043677
## [448] train-mlogloss:0.111184+0.004145 test-mlogloss:0.700294+0.043553
## [449] train-mlogloss:0.110926+0.004138 test-mlogloss:0.700932+0.043878
## [450] train-mlogloss:0.110630+0.004078 test-mlogloss:0.701316+0.043748
## [451] train-mlogloss:0.110299+0.004230 test-mlogloss:0.701738+0.043882
## [452] train-mlogloss:0.110008+0.004114 test-mlogloss:0.702001+0.044021
## [453] train-mlogloss:0.109695+0.004083 test-mlogloss:0.702478+0.044042
## [454] train-mlogloss:0.109348+0.003853 test-mlogloss:0.702853+0.043952
## [455] train-mlogloss:0.109076+0.003739 test-mlogloss:0.703055+0.043968
## [456] train-mlogloss:0.108785+0.003800 test-mlogloss:0.703349+0.043967
## [457] train-mlogloss:0.108451+0.003725 test-mlogloss:0.703662+0.044079
## [458] train-mlogloss:0.108187+0.003587 test-mlogloss:0.704074+0.043934
## [459] train-mlogloss:0.107830+0.003456 test-mlogloss:0.704441+0.043821
## [460] train-mlogloss:0.107578+0.003375 test-mlogloss:0.704720+0.043857
## [461] train-mlogloss:0.107266+0.003348 test-mlogloss:0.704948+0.043965
## [462] train-mlogloss:0.106937+0.003325 test-mlogloss:0.705331+0.043797
## [463] train-mlogloss:0.106608+0.003283 test-mlogloss:0.705478+0.043750
## [464] train-mlogloss:0.106192+0.003235 test-mlogloss:0.705688+0.043896
## [465] train-mlogloss:0.105984+0.003307 test-mlogloss:0.705922+0.043892
## [466] train-mlogloss:0.105734+0.003330 test-mlogloss:0.706319+0.043799
## [467] train-mlogloss:0.105590+0.003421 test-mlogloss:0.706401+0.044052
## [468] train-mlogloss:0.105167+0.003479 test-mlogloss:0.706822+0.044255
## [469] train-mlogloss:0.104854+0.003465 test-mlogloss:0.706970+0.043953
## [470] train-mlogloss:0.104567+0.003491 test-mlogloss:0.707130+0.044115
## [471] train-mlogloss:0.104268+0.003553 test-mlogloss:0.707496+0.044239
## [472] train-mlogloss:0.103993+0.003587 test-mlogloss:0.707976+0.044353
## [473] train-mlogloss:0.103729+0.003644 test-mlogloss:0.708388+0.044033
## [474] train-mlogloss:0.103513+0.003695 test-mlogloss:0.708603+0.044083
## [475] train-mlogloss:0.103336+0.003722 test-mlogloss:0.708915+0.044192
## [476] train-mlogloss:0.103150+0.003823 test-mlogloss:0.709143+0.044258
## [477] train-mlogloss:0.102880+0.003854 test-mlogloss:0.709496+0.044363
## [478] train-mlogloss:0.102629+0.003737 test-mlogloss:0.709686+0.044141
## [479] train-mlogloss:0.102401+0.003683 test-mlogloss:0.710067+0.044278
## [480] train-mlogloss:0.102221+0.003686 test-mlogloss:0.710505+0.044521
## [481] train-mlogloss:0.101999+0.003729 test-mlogloss:0.711014+0.044254
## [482] train-mlogloss:0.101796+0.003804 test-mlogloss:0.711611+0.044485
## [483] train-mlogloss:0.101610+0.003807 test-mlogloss:0.712041+0.044546
## [484] train-mlogloss:0.101371+0.003839 test-mlogloss:0.712285+0.044714
## [485] train-mlogloss:0.101085+0.003828 test-mlogloss:0.712413+0.044903
## [486] train-mlogloss:0.100731+0.003910 test-mlogloss:0.713113+0.045276
## [487] train-mlogloss:0.100483+0.003828 test-mlogloss:0.713407+0.045092
## [488] train-mlogloss:0.100295+0.003862 test-mlogloss:0.713664+0.045133
## [489] train-mlogloss:0.100083+0.003780 test-mlogloss:0.713948+0.045179
## [490] train-mlogloss:0.099869+0.003698 test-mlogloss:0.714377+0.045230
## [491] train-mlogloss:0.099712+0.003738 test-mlogloss:0.714689+0.045195
## [492] train-mlogloss:0.099501+0.003698 test-mlogloss:0.715297+0.045158
## [493] train-mlogloss:0.099353+0.003729 test-mlogloss:0.715408+0.045235
## [494] train-mlogloss:0.099150+0.003792 test-mlogloss:0.715820+0.045139
## [495] train-mlogloss:0.098878+0.003734 test-mlogloss:0.716117+0.044926
## [496] train-mlogloss:0.098556+0.003812 test-mlogloss:0.716511+0.045323
## [497] train-mlogloss:0.098180+0.003784 test-mlogloss:0.716846+0.045231
## [498] train-mlogloss:0.097940+0.003670 test-mlogloss:0.716960+0.045130
## [499] train-mlogloss:0.097728+0.003590 test-mlogloss:0.717048+0.045105
## [500] train-mlogloss:0.097473+0.003613 test-mlogloss:0.717308+0.044981
## [1] train-mlogloss:0.573927+0.002189 test-mlogloss:0.627274+0.003595
## [2] train-mlogloss:0.493741+0.001844 test-mlogloss:0.593964+0.005070
## [3] train-mlogloss:0.432831+0.002198 test-mlogloss:0.575532+0.005667
## [4] train-mlogloss:0.385851+0.002684 test-mlogloss:0.566217+0.006420
## [5] train-mlogloss:0.347862+0.003056 test-mlogloss:0.562513+0.006879
## [6] train-mlogloss:0.316436+0.002892 test-mlogloss:0.561648+0.007184
## [7] train-mlogloss:0.290043+0.001667 test-mlogloss:0.562418+0.007457
## [8] train-mlogloss:0.267881+0.002487 test-mlogloss:0.565469+0.007784
## [9] train-mlogloss:0.249343+0.002690 test-mlogloss:0.567651+0.008749
## [10] train-mlogloss:0.233797+0.003268 test-mlogloss:0.571333+0.008159
## [11] train-mlogloss:0.218999+0.003031 test-mlogloss:0.574566+0.008787
## [12] train-mlogloss:0.206738+0.002630 test-mlogloss:0.577055+0.008176
## [13] train-mlogloss:0.196205+0.002998 test-mlogloss:0.579807+0.007916
## [14] train-mlogloss:0.187444+0.004010 test-mlogloss:0.581589+0.007545
## [15] train-mlogloss:0.180793+0.004554 test-mlogloss:0.584378+0.007480
## [16] train-mlogloss:0.174527+0.003468 test-mlogloss:0.587616+0.008763
## [17] train-mlogloss:0.168539+0.003707 test-mlogloss:0.590322+0.008573
## [18] train-mlogloss:0.163660+0.002436 test-mlogloss:0.593766+0.008602
## [19] train-mlogloss:0.157587+0.002588 test-mlogloss:0.596416+0.008283
## [20] train-mlogloss:0.153562+0.002616 test-mlogloss:0.598435+0.008467
## [21] train-mlogloss:0.150383+0.002458 test-mlogloss:0.600169+0.008967
## [22] train-mlogloss:0.146464+0.003165 test-mlogloss:0.602783+0.007941
## [23] train-mlogloss:0.143753+0.002933 test-mlogloss:0.604376+0.007768
## [24] train-mlogloss:0.140544+0.003636 test-mlogloss:0.606357+0.007189
## [25] train-mlogloss:0.136809+0.003176 test-mlogloss:0.608933+0.007668
## [26] train-mlogloss:0.133750+0.002901 test-mlogloss:0.611027+0.009118
## [27] train-mlogloss:0.129973+0.003248 test-mlogloss:0.613512+0.008332
## [28] train-mlogloss:0.126932+0.002418 test-mlogloss:0.615636+0.008705
## [29] train-mlogloss:0.122916+0.001836 test-mlogloss:0.617723+0.008722
## [30] train-mlogloss:0.121130+0.002571 test-mlogloss:0.618670+0.009310
## [31] train-mlogloss:0.117585+0.002398 test-mlogloss:0.621665+0.010210
## [32] train-mlogloss:0.114804+0.001854 test-mlogloss:0.624296+0.011113
## [33] train-mlogloss:0.112000+0.001321 test-mlogloss:0.626420+0.011464
## [34] train-mlogloss:0.109273+0.001907 test-mlogloss:0.628777+0.012251
## [35] train-mlogloss:0.107199+0.002672 test-mlogloss:0.630639+0.012917
## [36] train-mlogloss:0.104588+0.003183 test-mlogloss:0.632660+0.013500
## [37] train-mlogloss:0.102895+0.002591 test-mlogloss:0.634270+0.013504
## [38] train-mlogloss:0.100357+0.001938 test-mlogloss:0.636135+0.013511
## [39] train-mlogloss:0.098142+0.001969 test-mlogloss:0.637774+0.013211
## [40] train-mlogloss:0.096127+0.001817 test-mlogloss:0.639418+0.013170
## [41] train-mlogloss:0.094449+0.001340 test-mlogloss:0.640827+0.013425
## [42] train-mlogloss:0.092704+0.001491 test-mlogloss:0.642304+0.013072
## [43] train-mlogloss:0.091014+0.001130 test-mlogloss:0.644296+0.013682
## [44] train-mlogloss:0.089875+0.001636 test-mlogloss:0.645745+0.014065
## [45] train-mlogloss:0.088650+0.001611 test-mlogloss:0.646859+0.013824
## [46] train-mlogloss:0.087562+0.002097 test-mlogloss:0.647947+0.014398
## [47] train-mlogloss:0.086019+0.002407 test-mlogloss:0.649797+0.014901
## [48] train-mlogloss:0.084284+0.002435 test-mlogloss:0.651151+0.014846
## [49] train-mlogloss:0.082385+0.002312 test-mlogloss:0.653335+0.014798
## [50] train-mlogloss:0.080668+0.002318 test-mlogloss:0.655228+0.015220
## [51] train-mlogloss:0.079321+0.001936 test-mlogloss:0.656915+0.015333
## [52] train-mlogloss:0.078059+0.002386 test-mlogloss:0.658348+0.015738
## [53] train-mlogloss:0.076810+0.002480 test-mlogloss:0.659880+0.016037
## [54] train-mlogloss:0.075410+0.002190 test-mlogloss:0.661592+0.015540
## [55] train-mlogloss:0.074749+0.002277 test-mlogloss:0.662938+0.015663
## [56] train-mlogloss:0.073631+0.002100 test-mlogloss:0.665104+0.016793
## [57] train-mlogloss:0.072513+0.001622 test-mlogloss:0.666516+0.017067
## [58] train-mlogloss:0.071455+0.001827 test-mlogloss:0.668402+0.017131
## [59] train-mlogloss:0.070114+0.002061 test-mlogloss:0.670403+0.018014
## [60] train-mlogloss:0.068913+0.001913 test-mlogloss:0.671653+0.017673
## [61] train-mlogloss:0.067661+0.001641 test-mlogloss:0.673291+0.017064
## [62] train-mlogloss:0.066545+0.001438 test-mlogloss:0.674955+0.016693
## [63] train-mlogloss:0.065637+0.001483 test-mlogloss:0.676368+0.016546
## [64] train-mlogloss:0.064730+0.001308 test-mlogloss:0.677605+0.016612
## [65] train-mlogloss:0.063613+0.001485 test-mlogloss:0.679532+0.016676
## [66] train-mlogloss:0.062774+0.001658 test-mlogloss:0.681328+0.016386
## [67] train-mlogloss:0.061971+0.001635 test-mlogloss:0.682505+0.016684
## [68] train-mlogloss:0.061152+0.001642 test-mlogloss:0.683628+0.016528
## [69] train-mlogloss:0.060318+0.001578 test-mlogloss:0.685338+0.016236
## [70] train-mlogloss:0.059380+0.001578 test-mlogloss:0.686502+0.016509
## [71] train-mlogloss:0.058487+0.001564 test-mlogloss:0.688176+0.017066
## [72] train-mlogloss:0.057564+0.001673 test-mlogloss:0.689583+0.017411
## [73] train-mlogloss:0.056968+0.001766 test-mlogloss:0.690593+0.017062
## [74] train-mlogloss:0.056317+0.001847 test-mlogloss:0.692004+0.016802
## [75] train-mlogloss:0.055435+0.001783 test-mlogloss:0.693069+0.016511
## [76] train-mlogloss:0.054729+0.001648 test-mlogloss:0.694323+0.016516
## [77] train-mlogloss:0.054034+0.001598 test-mlogloss:0.696323+0.015592
## [78] train-mlogloss:0.053321+0.001634 test-mlogloss:0.698001+0.015219
## [79] train-mlogloss:0.052808+0.001574 test-mlogloss:0.698863+0.015226
## [80] train-mlogloss:0.052187+0.001592 test-mlogloss:0.700084+0.015192
## [81] train-mlogloss:0.051807+0.001592 test-mlogloss:0.700921+0.015372
## [82] train-mlogloss:0.051340+0.001749 test-mlogloss:0.702222+0.015493
## [83] train-mlogloss:0.050613+0.001728 test-mlogloss:0.703976+0.015389
## [84] train-mlogloss:0.050166+0.001785 test-mlogloss:0.705355+0.015759
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## [86] train-mlogloss:0.048829+0.001744 test-mlogloss:0.708141+0.015954
## [87] train-mlogloss:0.048204+0.001723 test-mlogloss:0.709183+0.016192
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## [90] train-mlogloss:0.046653+0.001484 test-mlogloss:0.712441+0.015888
## [91] train-mlogloss:0.046170+0.001442 test-mlogloss:0.713390+0.015950
## [92] train-mlogloss:0.045572+0.001467 test-mlogloss:0.714353+0.016301
## [93] train-mlogloss:0.045099+0.001552 test-mlogloss:0.715506+0.017145
## [94] train-mlogloss:0.044615+0.001577 test-mlogloss:0.716557+0.017430
## [95] train-mlogloss:0.044113+0.001596 test-mlogloss:0.717878+0.017402
## [96] train-mlogloss:0.043616+0.001518 test-mlogloss:0.719177+0.017464
## [97] train-mlogloss:0.043131+0.001560 test-mlogloss:0.720192+0.017230
## [98] train-mlogloss:0.042597+0.001538 test-mlogloss:0.721248+0.017286
## [99] train-mlogloss:0.042202+0.001565 test-mlogloss:0.722362+0.017192
## [100] train-mlogloss:0.041727+0.001422 test-mlogloss:0.723702+0.017096
## [101] train-mlogloss:0.041278+0.001342 test-mlogloss:0.725244+0.017120
## [102] train-mlogloss:0.040862+0.001264 test-mlogloss:0.726182+0.017384
## [103] train-mlogloss:0.040444+0.001221 test-mlogloss:0.727456+0.017239
## [104] train-mlogloss:0.040054+0.001272 test-mlogloss:0.728671+0.017257
## [105] train-mlogloss:0.039705+0.001342 test-mlogloss:0.729791+0.017708
## [106] train-mlogloss:0.039308+0.001364 test-mlogloss:0.730860+0.017321
## [107] train-mlogloss:0.038933+0.001329 test-mlogloss:0.731977+0.016794
## [108] train-mlogloss:0.038592+0.001272 test-mlogloss:0.733067+0.016997
## [109] train-mlogloss:0.038204+0.001221 test-mlogloss:0.734030+0.016601
## [110] train-mlogloss:0.037849+0.001188 test-mlogloss:0.734988+0.016734
## [111] train-mlogloss:0.037601+0.001226 test-mlogloss:0.736012+0.017107
## [112] train-mlogloss:0.037234+0.001209 test-mlogloss:0.736781+0.017338
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## [114] train-mlogloss:0.036579+0.001121 test-mlogloss:0.739300+0.017057
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## [116] train-mlogloss:0.035885+0.001091 test-mlogloss:0.741844+0.017516
## [117] train-mlogloss:0.035600+0.001067 test-mlogloss:0.742646+0.017927
## [118] train-mlogloss:0.035304+0.001063 test-mlogloss:0.743382+0.017872
## [119] train-mlogloss:0.034986+0.000988 test-mlogloss:0.744136+0.018461
## [120] train-mlogloss:0.034715+0.001039 test-mlogloss:0.744932+0.018348
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## [122] train-mlogloss:0.034207+0.001149 test-mlogloss:0.746705+0.018354
## [123] train-mlogloss:0.033954+0.001109 test-mlogloss:0.747238+0.018227
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## [126] train-mlogloss:0.033061+0.001116 test-mlogloss:0.750107+0.017873
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## [128] train-mlogloss:0.032493+0.001107 test-mlogloss:0.751896+0.018302
## [129] train-mlogloss:0.032212+0.001096 test-mlogloss:0.753318+0.018446
## [130] train-mlogloss:0.031936+0.001073 test-mlogloss:0.754224+0.018436
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## [132] train-mlogloss:0.031398+0.000990 test-mlogloss:0.756322+0.018620
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## [135] train-mlogloss:0.030686+0.000919 test-mlogloss:0.759719+0.019061
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## [137] train-mlogloss:0.030248+0.000926 test-mlogloss:0.761800+0.019214
## [138] train-mlogloss:0.030006+0.000903 test-mlogloss:0.762780+0.019007
## [139] train-mlogloss:0.029781+0.000907 test-mlogloss:0.763543+0.019297
## [140] train-mlogloss:0.029571+0.000915 test-mlogloss:0.764451+0.019283
## [141] train-mlogloss:0.029366+0.000908 test-mlogloss:0.765466+0.018964
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## [143] train-mlogloss:0.028945+0.000864 test-mlogloss:0.767223+0.019534
## [144] train-mlogloss:0.028756+0.000850 test-mlogloss:0.767925+0.019093
## [145] train-mlogloss:0.028551+0.000852 test-mlogloss:0.769098+0.018852
## [146] train-mlogloss:0.028370+0.000871 test-mlogloss:0.769707+0.018556
## [147] train-mlogloss:0.028168+0.000875 test-mlogloss:0.770641+0.018426
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## [150] train-mlogloss:0.027614+0.000829 test-mlogloss:0.772924+0.018427
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## [153] train-mlogloss:0.027039+0.000772 test-mlogloss:0.775730+0.018131
## [154] train-mlogloss:0.026871+0.000794 test-mlogloss:0.776392+0.018243
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## [156] train-mlogloss:0.026541+0.000782 test-mlogloss:0.777964+0.018457
## [157] train-mlogloss:0.026335+0.000773 test-mlogloss:0.779003+0.018242
## [158] train-mlogloss:0.026159+0.000777 test-mlogloss:0.779803+0.018296
## [159] train-mlogloss:0.025987+0.000759 test-mlogloss:0.780796+0.018112
## [160] train-mlogloss:0.025841+0.000761 test-mlogloss:0.781606+0.018349
## [161] train-mlogloss:0.025680+0.000736 test-mlogloss:0.782417+0.018099
## [162] train-mlogloss:0.025525+0.000734 test-mlogloss:0.783296+0.018307
## [163] train-mlogloss:0.025362+0.000731 test-mlogloss:0.784461+0.018386
## [164] train-mlogloss:0.025217+0.000731 test-mlogloss:0.785223+0.018394
## [165] train-mlogloss:0.025107+0.000697 test-mlogloss:0.786058+0.018320
## [166] train-mlogloss:0.024975+0.000674 test-mlogloss:0.786752+0.018377
## [167] train-mlogloss:0.024828+0.000659 test-mlogloss:0.787597+0.018929
## [168] train-mlogloss:0.024690+0.000642 test-mlogloss:0.788483+0.019037
## [169] train-mlogloss:0.024528+0.000629 test-mlogloss:0.789370+0.018946
## [170] train-mlogloss:0.024383+0.000613 test-mlogloss:0.790323+0.018879
## [171] train-mlogloss:0.024242+0.000610 test-mlogloss:0.791091+0.018662
## [172] train-mlogloss:0.024114+0.000603 test-mlogloss:0.791903+0.018802
## [173] train-mlogloss:0.023975+0.000597 test-mlogloss:0.792736+0.019106
## [174] train-mlogloss:0.023849+0.000580 test-mlogloss:0.793396+0.019167
## [175] train-mlogloss:0.023699+0.000572 test-mlogloss:0.793827+0.018927
## [176] train-mlogloss:0.023565+0.000558 test-mlogloss:0.794715+0.019204
## [177] train-mlogloss:0.023430+0.000553 test-mlogloss:0.795283+0.019297
## [178] train-mlogloss:0.023295+0.000543 test-mlogloss:0.796017+0.019514
## [179] train-mlogloss:0.023169+0.000537 test-mlogloss:0.796758+0.019622
## [180] train-mlogloss:0.023033+0.000533 test-mlogloss:0.797504+0.019577
## [181] train-mlogloss:0.022899+0.000543 test-mlogloss:0.798490+0.019504
## [182] train-mlogloss:0.022772+0.000541 test-mlogloss:0.799070+0.019477
## [183] train-mlogloss:0.022640+0.000521 test-mlogloss:0.799824+0.019328
## [184] train-mlogloss:0.022522+0.000525 test-mlogloss:0.800528+0.019077
## [185] train-mlogloss:0.022399+0.000519 test-mlogloss:0.801278+0.019066
## [186] train-mlogloss:0.022294+0.000527 test-mlogloss:0.801946+0.019242
## [187] train-mlogloss:0.022179+0.000515 test-mlogloss:0.802676+0.019320
## [188] train-mlogloss:0.022051+0.000505 test-mlogloss:0.803379+0.019155
## [189] train-mlogloss:0.021934+0.000493 test-mlogloss:0.804355+0.019271
## [190] train-mlogloss:0.021817+0.000496 test-mlogloss:0.805068+0.019459
## [191] train-mlogloss:0.021716+0.000495 test-mlogloss:0.805360+0.019565
## [192] train-mlogloss:0.021608+0.000488 test-mlogloss:0.805963+0.019515
## [193] train-mlogloss:0.021493+0.000493 test-mlogloss:0.806847+0.019565
## [194] train-mlogloss:0.021389+0.000502 test-mlogloss:0.807313+0.019591
## [195] train-mlogloss:0.021303+0.000508 test-mlogloss:0.807642+0.019623
## [196] train-mlogloss:0.021206+0.000490 test-mlogloss:0.808486+0.019662
## [197] train-mlogloss:0.021115+0.000492 test-mlogloss:0.809028+0.019677
## [198] train-mlogloss:0.021021+0.000483 test-mlogloss:0.809415+0.019471
## [199] train-mlogloss:0.020918+0.000478 test-mlogloss:0.810287+0.019808
## [200] train-mlogloss:0.020821+0.000473 test-mlogloss:0.810934+0.019887
## [201] train-mlogloss:0.020728+0.000475 test-mlogloss:0.811747+0.020157
## [202] train-mlogloss:0.020633+0.000465 test-mlogloss:0.812545+0.020068
## [203] train-mlogloss:0.020531+0.000457 test-mlogloss:0.812938+0.020144
## [204] train-mlogloss:0.020434+0.000453 test-mlogloss:0.813734+0.020233
## [205] train-mlogloss:0.020342+0.000456 test-mlogloss:0.814252+0.020211
## [206] train-mlogloss:0.020255+0.000460 test-mlogloss:0.814661+0.020122
## [207] train-mlogloss:0.020167+0.000454 test-mlogloss:0.815385+0.020270
## [208] train-mlogloss:0.020077+0.000459 test-mlogloss:0.815808+0.020211
## [209] train-mlogloss:0.019995+0.000459 test-mlogloss:0.816533+0.020197
## [210] train-mlogloss:0.019902+0.000460 test-mlogloss:0.817359+0.020297
## [211] train-mlogloss:0.019810+0.000460 test-mlogloss:0.818100+0.020367
## [212] train-mlogloss:0.019718+0.000457 test-mlogloss:0.818658+0.020590
## [213] train-mlogloss:0.019633+0.000446 test-mlogloss:0.819447+0.020299
## [214] train-mlogloss:0.019552+0.000451 test-mlogloss:0.820215+0.020614
## [215] train-mlogloss:0.019470+0.000449 test-mlogloss:0.820906+0.020514
## [216] train-mlogloss:0.019383+0.000442 test-mlogloss:0.821671+0.020222
## [217] train-mlogloss:0.019307+0.000443 test-mlogloss:0.822205+0.020090
## [218] train-mlogloss:0.019216+0.000444 test-mlogloss:0.822509+0.019955
## [219] train-mlogloss:0.019134+0.000447 test-mlogloss:0.823192+0.020034
## [220] train-mlogloss:0.019051+0.000447 test-mlogloss:0.824041+0.020068
## [221] train-mlogloss:0.018972+0.000447 test-mlogloss:0.824711+0.020015
## [222] train-mlogloss:0.018893+0.000448 test-mlogloss:0.825590+0.020116
## [223] train-mlogloss:0.018815+0.000438 test-mlogloss:0.826124+0.020217
## [224] train-mlogloss:0.018735+0.000439 test-mlogloss:0.826796+0.020065
## [225] train-mlogloss:0.018656+0.000433 test-mlogloss:0.827216+0.020083
## [226] train-mlogloss:0.018587+0.000420 test-mlogloss:0.827602+0.020104
## [227] train-mlogloss:0.018518+0.000419 test-mlogloss:0.828427+0.020028
## [228] train-mlogloss:0.018441+0.000419 test-mlogloss:0.829153+0.020195
## [229] train-mlogloss:0.018378+0.000419 test-mlogloss:0.829847+0.020090
## [230] train-mlogloss:0.018303+0.000409 test-mlogloss:0.830581+0.019854
## [231] train-mlogloss:0.018226+0.000410 test-mlogloss:0.831251+0.019896
## [232] train-mlogloss:0.018160+0.000410 test-mlogloss:0.831862+0.019955
## [233] train-mlogloss:0.018089+0.000402 test-mlogloss:0.832581+0.019785
## [234] train-mlogloss:0.018015+0.000396 test-mlogloss:0.832912+0.019421
## [235] train-mlogloss:0.017948+0.000397 test-mlogloss:0.833542+0.019441
## [236] train-mlogloss:0.017876+0.000396 test-mlogloss:0.834066+0.019589
## [237] train-mlogloss:0.017808+0.000391 test-mlogloss:0.834545+0.019541
## [238] train-mlogloss:0.017740+0.000395 test-mlogloss:0.835283+0.019534
## [239] train-mlogloss:0.017679+0.000393 test-mlogloss:0.835877+0.019259
## [240] train-mlogloss:0.017620+0.000387 test-mlogloss:0.836499+0.019469
## [241] train-mlogloss:0.017554+0.000390 test-mlogloss:0.837099+0.019423
## [242] train-mlogloss:0.017491+0.000387 test-mlogloss:0.837503+0.019794
## [243] train-mlogloss:0.017423+0.000385 test-mlogloss:0.838108+0.020012
## [244] train-mlogloss:0.017359+0.000377 test-mlogloss:0.838384+0.019977
## [245] train-mlogloss:0.017292+0.000376 test-mlogloss:0.838885+0.019981
## [246] train-mlogloss:0.017233+0.000368 test-mlogloss:0.839494+0.020007
## [247] train-mlogloss:0.017173+0.000365 test-mlogloss:0.840145+0.019895
## [248] train-mlogloss:0.017111+0.000359 test-mlogloss:0.840726+0.020131
## [249] train-mlogloss:0.017053+0.000352 test-mlogloss:0.841339+0.020297
## [250] train-mlogloss:0.016989+0.000350 test-mlogloss:0.842038+0.020201
## [251] train-mlogloss:0.016925+0.000347 test-mlogloss:0.842362+0.020321
## [252] train-mlogloss:0.016861+0.000344 test-mlogloss:0.842893+0.020671
## [253] train-mlogloss:0.016802+0.000337 test-mlogloss:0.843610+0.020526
## [254] train-mlogloss:0.016748+0.000338 test-mlogloss:0.844335+0.020702
## [255] train-mlogloss:0.016688+0.000331 test-mlogloss:0.844818+0.020788
## [256] train-mlogloss:0.016634+0.000334 test-mlogloss:0.845252+0.020741
## [257] train-mlogloss:0.016576+0.000334 test-mlogloss:0.845640+0.020763
## [258] train-mlogloss:0.016521+0.000334 test-mlogloss:0.846217+0.020693
## [259] train-mlogloss:0.016465+0.000333 test-mlogloss:0.846674+0.020710
## [260] train-mlogloss:0.016409+0.000330 test-mlogloss:0.847301+0.020770
## [261] train-mlogloss:0.016361+0.000335 test-mlogloss:0.847788+0.020853
## [262] train-mlogloss:0.016308+0.000338 test-mlogloss:0.848393+0.020774
## [263] train-mlogloss:0.016255+0.000335 test-mlogloss:0.849100+0.020830
## [264] train-mlogloss:0.016203+0.000331 test-mlogloss:0.849849+0.021042
## [265] train-mlogloss:0.016147+0.000325 test-mlogloss:0.850197+0.021322
## [266] train-mlogloss:0.016098+0.000328 test-mlogloss:0.850782+0.021498
## [267] train-mlogloss:0.016044+0.000324 test-mlogloss:0.851352+0.021515
## [268] train-mlogloss:0.015995+0.000317 test-mlogloss:0.851843+0.021669
## [269] train-mlogloss:0.015940+0.000317 test-mlogloss:0.852468+0.021701
## [270] train-mlogloss:0.015893+0.000313 test-mlogloss:0.852854+0.021737
## [271] train-mlogloss:0.015841+0.000310 test-mlogloss:0.853505+0.021876
## [272] train-mlogloss:0.015792+0.000306 test-mlogloss:0.853713+0.021706
## [273] train-mlogloss:0.015741+0.000300 test-mlogloss:0.854116+0.021625
## [274] train-mlogloss:0.015691+0.000294 test-mlogloss:0.854469+0.021674
## [275] train-mlogloss:0.015640+0.000292 test-mlogloss:0.854961+0.021497
## [276] train-mlogloss:0.015587+0.000287 test-mlogloss:0.855545+0.021634
## [277] train-mlogloss:0.015538+0.000288 test-mlogloss:0.856141+0.021611
## [278] train-mlogloss:0.015488+0.000287 test-mlogloss:0.856578+0.021445
## [279] train-mlogloss:0.015442+0.000287 test-mlogloss:0.856990+0.021399
## [280] train-mlogloss:0.015396+0.000285 test-mlogloss:0.857572+0.021353
## [281] train-mlogloss:0.015350+0.000287 test-mlogloss:0.857771+0.021436
## [282] train-mlogloss:0.015302+0.000282 test-mlogloss:0.858085+0.021379
## [283] train-mlogloss:0.015259+0.000281 test-mlogloss:0.858364+0.021555
## [284] train-mlogloss:0.015214+0.000280 test-mlogloss:0.858728+0.021800
## [285] train-mlogloss:0.015169+0.000282 test-mlogloss:0.859191+0.022032
## [286] train-mlogloss:0.015124+0.000280 test-mlogloss:0.859678+0.022029
## [287] train-mlogloss:0.015081+0.000279 test-mlogloss:0.860202+0.022031
## [288] train-mlogloss:0.015033+0.000274 test-mlogloss:0.860494+0.022038
## [289] train-mlogloss:0.014992+0.000274 test-mlogloss:0.860868+0.022018
## [290] train-mlogloss:0.014952+0.000271 test-mlogloss:0.861258+0.022249
## [291] train-mlogloss:0.014906+0.000265 test-mlogloss:0.861820+0.022044
## [292] train-mlogloss:0.014861+0.000259 test-mlogloss:0.862243+0.022106
## [293] train-mlogloss:0.014820+0.000259 test-mlogloss:0.862451+0.022304
## [294] train-mlogloss:0.014774+0.000255 test-mlogloss:0.862869+0.022339
## [295] train-mlogloss:0.014731+0.000253 test-mlogloss:0.863251+0.022246
## [296] train-mlogloss:0.014686+0.000251 test-mlogloss:0.863576+0.022312
## [297] train-mlogloss:0.014647+0.000249 test-mlogloss:0.863918+0.022281
## [298] train-mlogloss:0.014605+0.000246 test-mlogloss:0.864524+0.022147
## [299] train-mlogloss:0.014565+0.000248 test-mlogloss:0.864961+0.022382
## [300] train-mlogloss:0.014527+0.000243 test-mlogloss:0.865535+0.022381
## [301] train-mlogloss:0.014490+0.000243 test-mlogloss:0.865916+0.022555
## [302] train-mlogloss:0.014451+0.000239 test-mlogloss:0.866313+0.022512
## [303] train-mlogloss:0.014410+0.000238 test-mlogloss:0.866802+0.022592
## [304] train-mlogloss:0.014373+0.000239 test-mlogloss:0.867207+0.022478
## [305] train-mlogloss:0.014337+0.000237 test-mlogloss:0.867777+0.022571
## [306] train-mlogloss:0.014302+0.000234 test-mlogloss:0.868228+0.022726
## [307] train-mlogloss:0.014263+0.000234 test-mlogloss:0.868427+0.022708
## [308] train-mlogloss:0.014223+0.000231 test-mlogloss:0.868984+0.022679
## [309] train-mlogloss:0.014183+0.000232 test-mlogloss:0.869333+0.022654
## [310] train-mlogloss:0.014147+0.000233 test-mlogloss:0.869582+0.022742
## [311] train-mlogloss:0.014111+0.000233 test-mlogloss:0.869924+0.022860
## [312] train-mlogloss:0.014073+0.000228 test-mlogloss:0.870285+0.022825
## [313] train-mlogloss:0.014037+0.000230 test-mlogloss:0.870790+0.022821
## [314] train-mlogloss:0.014002+0.000229 test-mlogloss:0.871187+0.022821
## [315] train-mlogloss:0.013965+0.000226 test-mlogloss:0.871643+0.022962
## [316] train-mlogloss:0.013929+0.000221 test-mlogloss:0.871792+0.022924
## [317] train-mlogloss:0.013892+0.000219 test-mlogloss:0.872078+0.023012
## [318] train-mlogloss:0.013856+0.000210 test-mlogloss:0.872705+0.023057
## [319] train-mlogloss:0.013821+0.000210 test-mlogloss:0.873229+0.023090
## [320] train-mlogloss:0.013787+0.000208 test-mlogloss:0.873651+0.023305
## [321] train-mlogloss:0.013750+0.000206 test-mlogloss:0.873908+0.023466
## [322] train-mlogloss:0.013715+0.000207 test-mlogloss:0.874179+0.023373
## [323] train-mlogloss:0.013679+0.000207 test-mlogloss:0.874718+0.023463
## [324] train-mlogloss:0.013644+0.000206 test-mlogloss:0.874911+0.023463
## [325] train-mlogloss:0.013611+0.000203 test-mlogloss:0.875493+0.023347
## [326] train-mlogloss:0.013577+0.000203 test-mlogloss:0.875792+0.023387
## [327] train-mlogloss:0.013542+0.000202 test-mlogloss:0.876435+0.023551
## [328] train-mlogloss:0.013507+0.000200 test-mlogloss:0.876813+0.023646
## [329] train-mlogloss:0.013476+0.000197 test-mlogloss:0.877295+0.023743
## [330] train-mlogloss:0.013439+0.000197 test-mlogloss:0.877560+0.023697
## [331] train-mlogloss:0.013407+0.000195 test-mlogloss:0.877996+0.023711
## [332] train-mlogloss:0.013373+0.000193 test-mlogloss:0.878318+0.023718
## [333] train-mlogloss:0.013341+0.000188 test-mlogloss:0.878349+0.023714
## [334] train-mlogloss:0.013310+0.000188 test-mlogloss:0.878905+0.023568
## [335] train-mlogloss:0.013278+0.000188 test-mlogloss:0.879145+0.023789
## [336] train-mlogloss:0.013246+0.000184 test-mlogloss:0.879622+0.023704
## [337] train-mlogloss:0.013214+0.000183 test-mlogloss:0.879929+0.023585
## [338] train-mlogloss:0.013180+0.000182 test-mlogloss:0.880313+0.023687
## [339] train-mlogloss:0.013150+0.000182 test-mlogloss:0.880615+0.023682
## [340] train-mlogloss:0.013124+0.000182 test-mlogloss:0.881047+0.023958
## [341] train-mlogloss:0.013093+0.000179 test-mlogloss:0.881397+0.023965
## [342] train-mlogloss:0.013065+0.000180 test-mlogloss:0.881672+0.023809
## [343] train-mlogloss:0.013037+0.000179 test-mlogloss:0.882065+0.023866
## [344] train-mlogloss:0.013009+0.000179 test-mlogloss:0.882340+0.023807
## [345] train-mlogloss:0.012977+0.000177 test-mlogloss:0.882684+0.023772
## [346] train-mlogloss:0.012948+0.000176 test-mlogloss:0.883129+0.023905
## [347] train-mlogloss:0.012918+0.000174 test-mlogloss:0.883487+0.023930
## [348] train-mlogloss:0.012891+0.000173 test-mlogloss:0.883737+0.023909
## [349] train-mlogloss:0.012861+0.000176 test-mlogloss:0.884035+0.023920
## [350] train-mlogloss:0.012832+0.000175 test-mlogloss:0.884146+0.024185
## [351] train-mlogloss:0.012803+0.000175 test-mlogloss:0.884579+0.024136
## [352] train-mlogloss:0.012777+0.000174 test-mlogloss:0.884986+0.024221
## [353] train-mlogloss:0.012750+0.000175 test-mlogloss:0.885280+0.024326
## [354] train-mlogloss:0.012725+0.000175 test-mlogloss:0.885580+0.024234
## [355] train-mlogloss:0.012695+0.000172 test-mlogloss:0.885862+0.024201
## [356] train-mlogloss:0.012667+0.000172 test-mlogloss:0.886611+0.024162
## [357] train-mlogloss:0.012638+0.000171 test-mlogloss:0.886849+0.024226
## [358] train-mlogloss:0.012610+0.000170 test-mlogloss:0.887200+0.024460
## [359] train-mlogloss:0.012583+0.000169 test-mlogloss:0.887329+0.024471
## [360] train-mlogloss:0.012558+0.000170 test-mlogloss:0.887856+0.024339
## [361] train-mlogloss:0.012530+0.000169 test-mlogloss:0.888165+0.024296
## [362] train-mlogloss:0.012504+0.000170 test-mlogloss:0.888426+0.024253
## [363] train-mlogloss:0.012477+0.000169 test-mlogloss:0.888647+0.024215
## [364] train-mlogloss:0.012449+0.000170 test-mlogloss:0.889150+0.024205
## [365] train-mlogloss:0.012422+0.000168 test-mlogloss:0.889564+0.024152
## [366] train-mlogloss:0.012397+0.000167 test-mlogloss:0.890019+0.024073
## [367] train-mlogloss:0.012373+0.000165 test-mlogloss:0.890231+0.024031
## [368] train-mlogloss:0.012348+0.000165 test-mlogloss:0.890477+0.024182
## [369] train-mlogloss:0.012321+0.000164 test-mlogloss:0.890952+0.024121
## [370] train-mlogloss:0.012292+0.000165 test-mlogloss:0.891280+0.024325
## [371] train-mlogloss:0.012265+0.000162 test-mlogloss:0.891736+0.024197
## [372] train-mlogloss:0.012238+0.000162 test-mlogloss:0.892234+0.024293
## [373] train-mlogloss:0.012213+0.000162 test-mlogloss:0.892552+0.024405
## [374] train-mlogloss:0.012186+0.000161 test-mlogloss:0.892945+0.024397
## [375] train-mlogloss:0.012161+0.000162 test-mlogloss:0.893229+0.024343
## [376] train-mlogloss:0.012137+0.000161 test-mlogloss:0.893421+0.024527
## [377] train-mlogloss:0.012112+0.000162 test-mlogloss:0.893858+0.024415
## [378] train-mlogloss:0.012087+0.000160 test-mlogloss:0.893986+0.024375
## [379] train-mlogloss:0.012061+0.000157 test-mlogloss:0.894236+0.024575
## [380] train-mlogloss:0.012038+0.000157 test-mlogloss:0.894365+0.024627
## [381] train-mlogloss:0.012014+0.000158 test-mlogloss:0.894642+0.024305
## [382] train-mlogloss:0.011988+0.000157 test-mlogloss:0.895009+0.024476
## [383] train-mlogloss:0.011966+0.000157 test-mlogloss:0.895397+0.024354
## [384] train-mlogloss:0.011941+0.000157 test-mlogloss:0.895626+0.024370
## [385] train-mlogloss:0.011919+0.000155 test-mlogloss:0.895907+0.024393
## [386] train-mlogloss:0.011895+0.000157 test-mlogloss:0.895999+0.024299
## [387] train-mlogloss:0.011872+0.000158 test-mlogloss:0.896242+0.024306
## [388] train-mlogloss:0.011851+0.000159 test-mlogloss:0.896655+0.024110
## [389] train-mlogloss:0.011829+0.000158 test-mlogloss:0.897135+0.024172
## [390] train-mlogloss:0.011806+0.000155 test-mlogloss:0.897367+0.024270
## [391] train-mlogloss:0.011782+0.000155 test-mlogloss:0.897742+0.024230
## [392] train-mlogloss:0.011761+0.000154 test-mlogloss:0.898164+0.024237
## [393] train-mlogloss:0.011738+0.000150 test-mlogloss:0.898442+0.024215
## [394] train-mlogloss:0.011713+0.000150 test-mlogloss:0.898806+0.024037
## [395] train-mlogloss:0.011691+0.000149 test-mlogloss:0.899210+0.024051
## [396] train-mlogloss:0.011672+0.000148 test-mlogloss:0.899543+0.024111
## [397] train-mlogloss:0.011649+0.000150 test-mlogloss:0.900020+0.024089
## [398] train-mlogloss:0.011628+0.000149 test-mlogloss:0.900251+0.024114
## [399] train-mlogloss:0.011606+0.000148 test-mlogloss:0.900702+0.024279
## [400] train-mlogloss:0.011584+0.000148 test-mlogloss:0.900909+0.024317
## [401] train-mlogloss:0.011563+0.000147 test-mlogloss:0.901037+0.024242
## [402] train-mlogloss:0.011544+0.000148 test-mlogloss:0.901345+0.024338
## [403] train-mlogloss:0.011520+0.000148 test-mlogloss:0.901774+0.024164
## [404] train-mlogloss:0.011499+0.000146 test-mlogloss:0.902022+0.024156
## [405] train-mlogloss:0.011478+0.000146 test-mlogloss:0.902245+0.024271
## [406] train-mlogloss:0.011458+0.000145 test-mlogloss:0.902336+0.024218
## [407] train-mlogloss:0.011436+0.000145 test-mlogloss:0.902475+0.024358
## [408] train-mlogloss:0.011414+0.000145 test-mlogloss:0.902876+0.024267
## [409] train-mlogloss:0.011393+0.000143 test-mlogloss:0.903264+0.024055
## [410] train-mlogloss:0.011373+0.000140 test-mlogloss:0.903609+0.024019
## [411] train-mlogloss:0.011352+0.000140 test-mlogloss:0.903737+0.024089
## [412] train-mlogloss:0.011332+0.000140 test-mlogloss:0.903977+0.024165
## [413] train-mlogloss:0.011312+0.000140 test-mlogloss:0.904153+0.024323
## [414] train-mlogloss:0.011293+0.000139 test-mlogloss:0.904493+0.024407
## [415] train-mlogloss:0.011273+0.000138 test-mlogloss:0.904813+0.024589
## [416] train-mlogloss:0.011252+0.000136 test-mlogloss:0.905296+0.024692
## [417] train-mlogloss:0.011232+0.000137 test-mlogloss:0.905495+0.024774
## [418] train-mlogloss:0.011212+0.000137 test-mlogloss:0.905770+0.024722
## [419] train-mlogloss:0.011192+0.000134 test-mlogloss:0.906118+0.024656
## [420] train-mlogloss:0.011174+0.000136 test-mlogloss:0.906376+0.024595
## [421] train-mlogloss:0.011154+0.000136 test-mlogloss:0.906467+0.024744
## [422] train-mlogloss:0.011137+0.000134 test-mlogloss:0.906788+0.024856
## [423] train-mlogloss:0.011118+0.000135 test-mlogloss:0.907257+0.024863
## [424] train-mlogloss:0.011099+0.000133 test-mlogloss:0.907534+0.024893
## [425] train-mlogloss:0.011080+0.000134 test-mlogloss:0.907908+0.024963
## [426] train-mlogloss:0.011060+0.000135 test-mlogloss:0.908145+0.025068
## [427] train-mlogloss:0.011042+0.000134 test-mlogloss:0.908494+0.025120
## [428] train-mlogloss:0.011023+0.000133 test-mlogloss:0.908901+0.025220
## [429] train-mlogloss:0.011006+0.000133 test-mlogloss:0.909255+0.025210
## [430] train-mlogloss:0.010987+0.000134 test-mlogloss:0.909512+0.025279
## [431] train-mlogloss:0.010968+0.000134 test-mlogloss:0.909978+0.025269
## [432] train-mlogloss:0.010950+0.000133 test-mlogloss:0.910329+0.025284
## [433] train-mlogloss:0.010934+0.000132 test-mlogloss:0.910530+0.025282
## [434] train-mlogloss:0.010914+0.000131 test-mlogloss:0.911042+0.025214
## [435] train-mlogloss:0.010895+0.000129 test-mlogloss:0.911283+0.025265
## [436] train-mlogloss:0.010878+0.000129 test-mlogloss:0.911568+0.025146
## [437] train-mlogloss:0.010859+0.000130 test-mlogloss:0.911713+0.025165
## [438] train-mlogloss:0.010841+0.000129 test-mlogloss:0.912082+0.025075
## [439] train-mlogloss:0.010823+0.000130 test-mlogloss:0.912389+0.024921
## [440] train-mlogloss:0.010806+0.000131 test-mlogloss:0.912691+0.025111
## [441] train-mlogloss:0.010788+0.000131 test-mlogloss:0.912963+0.025132
## [442] train-mlogloss:0.010769+0.000132 test-mlogloss:0.913246+0.025353
## [443] train-mlogloss:0.010750+0.000131 test-mlogloss:0.913644+0.025254
## [444] train-mlogloss:0.010732+0.000130 test-mlogloss:0.913953+0.025317
## [445] train-mlogloss:0.010714+0.000129 test-mlogloss:0.914266+0.025348
## [446] train-mlogloss:0.010698+0.000127 test-mlogloss:0.914575+0.025403
## [447] train-mlogloss:0.010681+0.000125 test-mlogloss:0.914848+0.025265
## [448] train-mlogloss:0.010663+0.000125 test-mlogloss:0.915119+0.025300
## [449] train-mlogloss:0.010646+0.000123 test-mlogloss:0.915270+0.025354
## [450] train-mlogloss:0.010630+0.000120 test-mlogloss:0.915500+0.025269
## [451] train-mlogloss:0.010610+0.000119 test-mlogloss:0.915655+0.025330
## [452] train-mlogloss:0.010592+0.000118 test-mlogloss:0.915937+0.025273
## [453] train-mlogloss:0.010575+0.000117 test-mlogloss:0.916184+0.025034
## [454] train-mlogloss:0.010560+0.000116 test-mlogloss:0.916340+0.024977
## [455] train-mlogloss:0.010544+0.000117 test-mlogloss:0.916583+0.025053
## [456] train-mlogloss:0.010529+0.000117 test-mlogloss:0.916713+0.025219
## [457] train-mlogloss:0.010513+0.000115 test-mlogloss:0.916970+0.025322
## [458] train-mlogloss:0.010497+0.000117 test-mlogloss:0.917281+0.025404
## [459] train-mlogloss:0.010480+0.000116 test-mlogloss:0.917734+0.025413
## [460] train-mlogloss:0.010462+0.000116 test-mlogloss:0.918087+0.025600
## [461] train-mlogloss:0.010446+0.000115 test-mlogloss:0.918285+0.025673
## [462] train-mlogloss:0.010428+0.000115 test-mlogloss:0.918581+0.025656
## [463] train-mlogloss:0.010414+0.000116 test-mlogloss:0.918806+0.025786
## [464] train-mlogloss:0.010398+0.000115 test-mlogloss:0.919158+0.025858
## [465] train-mlogloss:0.010382+0.000114 test-mlogloss:0.919322+0.025967
## [466] train-mlogloss:0.010365+0.000114 test-mlogloss:0.919607+0.026133
## [467] train-mlogloss:0.010348+0.000115 test-mlogloss:0.919936+0.026241
## [468] train-mlogloss:0.010333+0.000114 test-mlogloss:0.920065+0.026264
## [469] train-mlogloss:0.010317+0.000114 test-mlogloss:0.920150+0.026233
## [470] train-mlogloss:0.010301+0.000115 test-mlogloss:0.920528+0.026103
## [471] train-mlogloss:0.010283+0.000116 test-mlogloss:0.920653+0.026091
## [472] train-mlogloss:0.010268+0.000114 test-mlogloss:0.920844+0.026127
## [473] train-mlogloss:0.010253+0.000114 test-mlogloss:0.920766+0.025927
## [474] train-mlogloss:0.010237+0.000115 test-mlogloss:0.921148+0.025991
## [475] train-mlogloss:0.010220+0.000114 test-mlogloss:0.921406+0.025974
## [476] train-mlogloss:0.010205+0.000113 test-mlogloss:0.921586+0.025797
## [477] train-mlogloss:0.010190+0.000112 test-mlogloss:0.921745+0.025931
## [478] train-mlogloss:0.010174+0.000111 test-mlogloss:0.922191+0.025866
## [479] train-mlogloss:0.010158+0.000109 test-mlogloss:0.922509+0.025787
## [480] train-mlogloss:0.010142+0.000108 test-mlogloss:0.922862+0.025810
## [481] train-mlogloss:0.010128+0.000107 test-mlogloss:0.923286+0.025769
## [482] train-mlogloss:0.010114+0.000108 test-mlogloss:0.923582+0.025678
## [483] train-mlogloss:0.010098+0.000107 test-mlogloss:0.923877+0.025659
## [484] train-mlogloss:0.010083+0.000106 test-mlogloss:0.924173+0.025677
## [485] train-mlogloss:0.010069+0.000107 test-mlogloss:0.924266+0.025662
## [486] train-mlogloss:0.010054+0.000106 test-mlogloss:0.924563+0.025575
## [487] train-mlogloss:0.010039+0.000103 test-mlogloss:0.924941+0.025527
## [488] train-mlogloss:0.010024+0.000104 test-mlogloss:0.925121+0.025593
## [489] train-mlogloss:0.010010+0.000103 test-mlogloss:0.925312+0.025403
## [490] train-mlogloss:0.009996+0.000102 test-mlogloss:0.925453+0.025314
## [491] train-mlogloss:0.009980+0.000102 test-mlogloss:0.925675+0.025260
## [492] train-mlogloss:0.009967+0.000102 test-mlogloss:0.925868+0.025247
## [493] train-mlogloss:0.009953+0.000102 test-mlogloss:0.926072+0.025057
## [494] train-mlogloss:0.009939+0.000102 test-mlogloss:0.926349+0.025109
## [495] train-mlogloss:0.009924+0.000102 test-mlogloss:0.926808+0.025057
## [496] train-mlogloss:0.009909+0.000101 test-mlogloss:0.926868+0.025137
## [497] train-mlogloss:0.009895+0.000101 test-mlogloss:0.927078+0.025454
## [498] train-mlogloss:0.009880+0.000099 test-mlogloss:0.927445+0.025478
## [499] train-mlogloss:0.009867+0.000098 test-mlogloss:0.927714+0.025496
## [500] train-mlogloss:0.009852+0.000099 test-mlogloss:0.927730+0.025534
## [1] train-mlogloss:0.538439+0.001160 test-mlogloss:0.557137+0.006430
## [2] train-mlogloss:0.507309+0.001683 test-mlogloss:0.541870+0.008425
## [3] train-mlogloss:0.495007+0.002041 test-mlogloss:0.540764+0.009442
## [4] train-mlogloss:0.487905+0.002799 test-mlogloss:0.543244+0.011323
## [5] train-mlogloss:0.482161+0.002099 test-mlogloss:0.545849+0.011776
## [6] train-mlogloss:0.477404+0.003807 test-mlogloss:0.547197+0.012135
## [7] train-mlogloss:0.473636+0.002316 test-mlogloss:0.547904+0.012862
## [8] train-mlogloss:0.467517+0.003240 test-mlogloss:0.550678+0.012951
## [9] train-mlogloss:0.461642+0.004017 test-mlogloss:0.552959+0.012044
## [10] train-mlogloss:0.456517+0.004860 test-mlogloss:0.554537+0.012088
## [11] train-mlogloss:0.451222+0.004709 test-mlogloss:0.555349+0.011463
## [12] train-mlogloss:0.444905+0.003833 test-mlogloss:0.557503+0.009724
## [13] train-mlogloss:0.437686+0.005970 test-mlogloss:0.559390+0.010532
## [14] train-mlogloss:0.433941+0.005709 test-mlogloss:0.561294+0.009702
## [15] train-mlogloss:0.429874+0.004809 test-mlogloss:0.563881+0.010521
## [16] train-mlogloss:0.425921+0.004300 test-mlogloss:0.564618+0.010310
## [17] train-mlogloss:0.421734+0.003910 test-mlogloss:0.566002+0.010545
## [18] train-mlogloss:0.415790+0.005240 test-mlogloss:0.568459+0.012902
## [19] train-mlogloss:0.410448+0.005859 test-mlogloss:0.570237+0.012753
## [20] train-mlogloss:0.404595+0.005103 test-mlogloss:0.571752+0.012980
## [21] train-mlogloss:0.398764+0.005926 test-mlogloss:0.574324+0.014061
## [22] train-mlogloss:0.394819+0.007037 test-mlogloss:0.575798+0.013858
## [23] train-mlogloss:0.390233+0.007988 test-mlogloss:0.578643+0.014605
## [24] train-mlogloss:0.384970+0.008969 test-mlogloss:0.580773+0.017007
## [25] train-mlogloss:0.380433+0.008200 test-mlogloss:0.582533+0.016395
## [26] train-mlogloss:0.375820+0.006835 test-mlogloss:0.585114+0.016547
## [27] train-mlogloss:0.372413+0.006593 test-mlogloss:0.587463+0.018176
## [28] train-mlogloss:0.366616+0.007583 test-mlogloss:0.590478+0.016031
## [29] train-mlogloss:0.362419+0.007710 test-mlogloss:0.592851+0.016644
## [30] train-mlogloss:0.358362+0.006977 test-mlogloss:0.595969+0.016492
## [31] train-mlogloss:0.353705+0.006220 test-mlogloss:0.598598+0.015584
## [32] train-mlogloss:0.348588+0.005011 test-mlogloss:0.601225+0.016005
## [33] train-mlogloss:0.344828+0.005687 test-mlogloss:0.602260+0.017425
## [34] train-mlogloss:0.341250+0.005759 test-mlogloss:0.603479+0.016578
## [35] train-mlogloss:0.336608+0.005715 test-mlogloss:0.605753+0.017004
## [36] train-mlogloss:0.332646+0.005338 test-mlogloss:0.606471+0.016727
## [37] train-mlogloss:0.329204+0.005766 test-mlogloss:0.607587+0.017785
## [38] train-mlogloss:0.325637+0.006486 test-mlogloss:0.609742+0.018108
## [39] train-mlogloss:0.321922+0.006705 test-mlogloss:0.611582+0.018872
## [40] train-mlogloss:0.316692+0.007801 test-mlogloss:0.615080+0.018911
## [41] train-mlogloss:0.312802+0.007751 test-mlogloss:0.616720+0.018825
## [42] train-mlogloss:0.309402+0.008475 test-mlogloss:0.618296+0.019822
## [43] train-mlogloss:0.306665+0.009432 test-mlogloss:0.619879+0.020084
## [44] train-mlogloss:0.304151+0.009761 test-mlogloss:0.621586+0.019962
## [45] train-mlogloss:0.301426+0.008713 test-mlogloss:0.623676+0.019151
## [46] train-mlogloss:0.296844+0.008442 test-mlogloss:0.625395+0.019472
## [47] train-mlogloss:0.294841+0.008019 test-mlogloss:0.625435+0.019298
## [48] train-mlogloss:0.291026+0.006798 test-mlogloss:0.626283+0.017976
## [49] train-mlogloss:0.288764+0.007568 test-mlogloss:0.627682+0.018749
## [50] train-mlogloss:0.286417+0.006737 test-mlogloss:0.629047+0.018306
## [51] train-mlogloss:0.282984+0.006433 test-mlogloss:0.629316+0.018680
## [52] train-mlogloss:0.279543+0.006251 test-mlogloss:0.630834+0.018809
## [53] train-mlogloss:0.276120+0.005663 test-mlogloss:0.631322+0.017773
## [54] train-mlogloss:0.273076+0.006427 test-mlogloss:0.633990+0.018308
## [55] train-mlogloss:0.270639+0.005935 test-mlogloss:0.635211+0.018396
## [56] train-mlogloss:0.268424+0.004409 test-mlogloss:0.636024+0.018442
## [57] train-mlogloss:0.266020+0.004160 test-mlogloss:0.637627+0.019557
## [58] train-mlogloss:0.263970+0.003711 test-mlogloss:0.638518+0.019508
## [59] train-mlogloss:0.260863+0.004021 test-mlogloss:0.640698+0.021050
## [60] train-mlogloss:0.257454+0.004204 test-mlogloss:0.642258+0.021800
## [61] train-mlogloss:0.254510+0.003964 test-mlogloss:0.644043+0.021734
## [62] train-mlogloss:0.252390+0.003844 test-mlogloss:0.644983+0.021651
## [63] train-mlogloss:0.250623+0.003676 test-mlogloss:0.646495+0.022645
## [64] train-mlogloss:0.248055+0.003778 test-mlogloss:0.647770+0.022216
## [65] train-mlogloss:0.245737+0.002783 test-mlogloss:0.648989+0.021813
## [66] train-mlogloss:0.243158+0.002379 test-mlogloss:0.651182+0.021456
## [67] train-mlogloss:0.240470+0.003365 test-mlogloss:0.652926+0.021208
## [68] train-mlogloss:0.238663+0.003963 test-mlogloss:0.654443+0.022523
## [69] train-mlogloss:0.235660+0.003947 test-mlogloss:0.655436+0.023005
## [70] train-mlogloss:0.233507+0.003269 test-mlogloss:0.656568+0.022970
## [71] train-mlogloss:0.230890+0.002877 test-mlogloss:0.658006+0.022696
## [72] train-mlogloss:0.227989+0.003474 test-mlogloss:0.660484+0.023087
## [73] train-mlogloss:0.225611+0.003100 test-mlogloss:0.662035+0.022860
## [74] train-mlogloss:0.223017+0.002810 test-mlogloss:0.664100+0.023539
## [75] train-mlogloss:0.220769+0.003239 test-mlogloss:0.664770+0.024460
## [76] train-mlogloss:0.217892+0.003741 test-mlogloss:0.666586+0.025204
## [77] train-mlogloss:0.215644+0.004333 test-mlogloss:0.668346+0.026263
## [78] train-mlogloss:0.213077+0.003162 test-mlogloss:0.670347+0.024143
## [79] train-mlogloss:0.210974+0.003274 test-mlogloss:0.670469+0.024791
## [80] train-mlogloss:0.208515+0.002010 test-mlogloss:0.673185+0.023567
## [81] train-mlogloss:0.205925+0.001902 test-mlogloss:0.675575+0.024858
## [82] train-mlogloss:0.204233+0.001720 test-mlogloss:0.676505+0.024431
## [83] train-mlogloss:0.202408+0.002303 test-mlogloss:0.678843+0.025081
## [84] train-mlogloss:0.200097+0.002635 test-mlogloss:0.680291+0.024919
## [85] train-mlogloss:0.198411+0.002111 test-mlogloss:0.681616+0.025084
## [86] train-mlogloss:0.196557+0.002665 test-mlogloss:0.683093+0.025059
## [87] train-mlogloss:0.194901+0.002936 test-mlogloss:0.684513+0.025039
## [88] train-mlogloss:0.192765+0.002573 test-mlogloss:0.685998+0.023313
## [89] train-mlogloss:0.191019+0.003200 test-mlogloss:0.688025+0.023274
## [90] train-mlogloss:0.189733+0.003082 test-mlogloss:0.689309+0.023633
## [91] train-mlogloss:0.188270+0.003177 test-mlogloss:0.689669+0.023503
## [92] train-mlogloss:0.186802+0.003417 test-mlogloss:0.691488+0.023961
## [93] train-mlogloss:0.185516+0.004025 test-mlogloss:0.692270+0.024334
## [94] train-mlogloss:0.184399+0.004327 test-mlogloss:0.693100+0.025288
## [95] train-mlogloss:0.183128+0.004817 test-mlogloss:0.694731+0.026729
## [96] train-mlogloss:0.181721+0.005524 test-mlogloss:0.695656+0.026008
## [97] train-mlogloss:0.179681+0.005881 test-mlogloss:0.697614+0.027202
## [98] train-mlogloss:0.178445+0.005529 test-mlogloss:0.698635+0.027922
## [99] train-mlogloss:0.176820+0.005723 test-mlogloss:0.700050+0.027076
## [100] train-mlogloss:0.175668+0.005596 test-mlogloss:0.700970+0.026968
## [101] train-mlogloss:0.173946+0.005506 test-mlogloss:0.703409+0.027611
## [102] train-mlogloss:0.172600+0.005158 test-mlogloss:0.704167+0.027779
## [103] train-mlogloss:0.170632+0.004836 test-mlogloss:0.705122+0.028084
## [104] train-mlogloss:0.169406+0.004975 test-mlogloss:0.706080+0.028238
## [105] train-mlogloss:0.167165+0.005121 test-mlogloss:0.706728+0.028268
## [106] train-mlogloss:0.165696+0.005444 test-mlogloss:0.708553+0.028799
## [107] train-mlogloss:0.163588+0.004985 test-mlogloss:0.710009+0.028661
## [108] train-mlogloss:0.161716+0.005370 test-mlogloss:0.711082+0.028826
## [109] train-mlogloss:0.160443+0.005618 test-mlogloss:0.711978+0.029300
## [110] train-mlogloss:0.159115+0.005624 test-mlogloss:0.713044+0.029099
## [111] train-mlogloss:0.157742+0.005437 test-mlogloss:0.714865+0.028275
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## [113] train-mlogloss:0.154436+0.004699 test-mlogloss:0.717625+0.028121
## [114] train-mlogloss:0.152541+0.004691 test-mlogloss:0.718724+0.029150
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## [116] train-mlogloss:0.150278+0.004503 test-mlogloss:0.721790+0.029128
## [117] train-mlogloss:0.149386+0.004955 test-mlogloss:0.723153+0.028894
## [118] train-mlogloss:0.147956+0.005056 test-mlogloss:0.723350+0.029292
## [119] train-mlogloss:0.146451+0.004844 test-mlogloss:0.724411+0.029573
## [120] train-mlogloss:0.144994+0.005059 test-mlogloss:0.725833+0.029334
## [121] train-mlogloss:0.143615+0.005303 test-mlogloss:0.726195+0.029130
## [122] train-mlogloss:0.142681+0.005134 test-mlogloss:0.726758+0.029195
## [123] train-mlogloss:0.141180+0.005126 test-mlogloss:0.727470+0.028778
## [124] train-mlogloss:0.140178+0.004896 test-mlogloss:0.728602+0.028964
## [125] train-mlogloss:0.138721+0.005157 test-mlogloss:0.729232+0.029472
## [126] train-mlogloss:0.137160+0.005264 test-mlogloss:0.731099+0.030132
## [127] train-mlogloss:0.135786+0.005225 test-mlogloss:0.731135+0.029751
## [128] train-mlogloss:0.134439+0.005422 test-mlogloss:0.732948+0.030134
## [129] train-mlogloss:0.133153+0.005255 test-mlogloss:0.733929+0.029795
## [130] train-mlogloss:0.131524+0.004929 test-mlogloss:0.735409+0.030530
## [131] train-mlogloss:0.130320+0.004923 test-mlogloss:0.737444+0.030237
## [132] train-mlogloss:0.129220+0.004373 test-mlogloss:0.738535+0.030120
## [133] train-mlogloss:0.128092+0.004804 test-mlogloss:0.739077+0.030176
## [134] train-mlogloss:0.126924+0.005135 test-mlogloss:0.741628+0.030183
## [135] train-mlogloss:0.125591+0.005505 test-mlogloss:0.743241+0.030709
## [136] train-mlogloss:0.124756+0.005538 test-mlogloss:0.744801+0.030585
## [137] train-mlogloss:0.123542+0.004842 test-mlogloss:0.745910+0.030797
## [138] train-mlogloss:0.122477+0.004798 test-mlogloss:0.746571+0.031180
## [139] train-mlogloss:0.121497+0.004784 test-mlogloss:0.747375+0.031357
## [140] train-mlogloss:0.120708+0.005036 test-mlogloss:0.749165+0.032508
## [141] train-mlogloss:0.120047+0.005107 test-mlogloss:0.750142+0.032961
## [142] train-mlogloss:0.119188+0.005088 test-mlogloss:0.751951+0.032754
## [143] train-mlogloss:0.117597+0.005158 test-mlogloss:0.753037+0.032831
## [144] train-mlogloss:0.116738+0.005144 test-mlogloss:0.753785+0.034419
## [145] train-mlogloss:0.115709+0.005053 test-mlogloss:0.755214+0.034962
## [146] train-mlogloss:0.114684+0.004313 test-mlogloss:0.757107+0.034400
## [147] train-mlogloss:0.113246+0.004271 test-mlogloss:0.758948+0.033594
## [148] train-mlogloss:0.112549+0.004451 test-mlogloss:0.760355+0.034038
## [149] train-mlogloss:0.111396+0.004510 test-mlogloss:0.761660+0.034496
## [150] train-mlogloss:0.110381+0.004511 test-mlogloss:0.763072+0.033964
## [151] train-mlogloss:0.109908+0.004590 test-mlogloss:0.764221+0.034332
## [152] train-mlogloss:0.109058+0.004216 test-mlogloss:0.765324+0.034584
## [153] train-mlogloss:0.108137+0.004113 test-mlogloss:0.766198+0.034844
## [154] train-mlogloss:0.107346+0.003707 test-mlogloss:0.766602+0.034981
## [155] train-mlogloss:0.106220+0.003478 test-mlogloss:0.768657+0.035690
## [156] train-mlogloss:0.105239+0.003603 test-mlogloss:0.769648+0.036293
## [157] train-mlogloss:0.104310+0.003475 test-mlogloss:0.770858+0.036530
## [158] train-mlogloss:0.103677+0.003534 test-mlogloss:0.772491+0.035762
## [159] train-mlogloss:0.102942+0.003161 test-mlogloss:0.774238+0.034946
## [160] train-mlogloss:0.102222+0.002926 test-mlogloss:0.776119+0.034510
## [161] train-mlogloss:0.101498+0.002790 test-mlogloss:0.777759+0.033486
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## [163] train-mlogloss:0.099531+0.002863 test-mlogloss:0.779639+0.033774
## [164] train-mlogloss:0.098624+0.003304 test-mlogloss:0.780112+0.033432
## [165] train-mlogloss:0.097802+0.003385 test-mlogloss:0.781369+0.032743
## [166] train-mlogloss:0.097058+0.003277 test-mlogloss:0.783104+0.032414
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## [168] train-mlogloss:0.095221+0.003031 test-mlogloss:0.785429+0.033636
## [169] train-mlogloss:0.094659+0.002896 test-mlogloss:0.786266+0.033977
## [170] train-mlogloss:0.093988+0.002939 test-mlogloss:0.786799+0.033627
## [171] train-mlogloss:0.093068+0.003056 test-mlogloss:0.787734+0.034704
## [172] train-mlogloss:0.092518+0.003225 test-mlogloss:0.788261+0.034849
## [173] train-mlogloss:0.091839+0.003095 test-mlogloss:0.789451+0.034970
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## [175] train-mlogloss:0.090333+0.003217 test-mlogloss:0.791869+0.034655
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## [177] train-mlogloss:0.088939+0.003247 test-mlogloss:0.793341+0.034279
## [178] train-mlogloss:0.088419+0.003321 test-mlogloss:0.794094+0.034192
## [179] train-mlogloss:0.087744+0.003366 test-mlogloss:0.795418+0.034076
## [180] train-mlogloss:0.087030+0.003119 test-mlogloss:0.796347+0.033526
## [181] train-mlogloss:0.086329+0.003155 test-mlogloss:0.797206+0.034087
## [182] train-mlogloss:0.085619+0.003269 test-mlogloss:0.798429+0.033780
## [183] train-mlogloss:0.084754+0.003121 test-mlogloss:0.800176+0.033662
## [184] train-mlogloss:0.084386+0.002984 test-mlogloss:0.800632+0.033353
## [185] train-mlogloss:0.083557+0.002826 test-mlogloss:0.802276+0.032625
## [186] train-mlogloss:0.083090+0.002783 test-mlogloss:0.803268+0.033117
## [187] train-mlogloss:0.082306+0.002695 test-mlogloss:0.804472+0.033745
## [188] train-mlogloss:0.081735+0.002377 test-mlogloss:0.805068+0.032936
## [189] train-mlogloss:0.080854+0.002408 test-mlogloss:0.806044+0.033954
## [190] train-mlogloss:0.080161+0.002385 test-mlogloss:0.807261+0.034197
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## [193] train-mlogloss:0.078938+0.002418 test-mlogloss:0.810260+0.033577
## [194] train-mlogloss:0.078475+0.002489 test-mlogloss:0.811027+0.033434
## [195] train-mlogloss:0.077927+0.002499 test-mlogloss:0.812273+0.032877
## [196] train-mlogloss:0.077450+0.002393 test-mlogloss:0.812986+0.032890
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## [199] train-mlogloss:0.075714+0.002371 test-mlogloss:0.816204+0.032391
## [200] train-mlogloss:0.075367+0.002169 test-mlogloss:0.816615+0.032217
## [201] train-mlogloss:0.075050+0.002047 test-mlogloss:0.816605+0.032213
## [202] train-mlogloss:0.074493+0.002321 test-mlogloss:0.817485+0.032020
## [203] train-mlogloss:0.073905+0.002419 test-mlogloss:0.819234+0.032412
## [204] train-mlogloss:0.073355+0.002458 test-mlogloss:0.820150+0.032294
## [205] train-mlogloss:0.072905+0.002432 test-mlogloss:0.821147+0.032380
## [206] train-mlogloss:0.072175+0.002185 test-mlogloss:0.822168+0.032095
## [207] train-mlogloss:0.071673+0.002111 test-mlogloss:0.823323+0.032585
## [208] train-mlogloss:0.071090+0.002021 test-mlogloss:0.823224+0.032449
## [209] train-mlogloss:0.070474+0.002002 test-mlogloss:0.824228+0.033567
## [210] train-mlogloss:0.069961+0.001994 test-mlogloss:0.825316+0.033279
## [211] train-mlogloss:0.069562+0.001974 test-mlogloss:0.826641+0.032688
## [212] train-mlogloss:0.069270+0.001946 test-mlogloss:0.827820+0.032852
## [213] train-mlogloss:0.068969+0.001921 test-mlogloss:0.829086+0.032596
## [214] train-mlogloss:0.068675+0.001793 test-mlogloss:0.829637+0.032813
## [215] train-mlogloss:0.068200+0.001774 test-mlogloss:0.830988+0.033262
## [216] train-mlogloss:0.067914+0.001754 test-mlogloss:0.831785+0.032951
## [217] train-mlogloss:0.067451+0.001897 test-mlogloss:0.832501+0.033544
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## [220] train-mlogloss:0.066478+0.001917 test-mlogloss:0.834160+0.033592
## [221] train-mlogloss:0.066231+0.001851 test-mlogloss:0.834816+0.033998
## [222] train-mlogloss:0.065967+0.001931 test-mlogloss:0.835839+0.033843
## [223] train-mlogloss:0.065599+0.001765 test-mlogloss:0.836744+0.034109
## [224] train-mlogloss:0.065272+0.001789 test-mlogloss:0.837017+0.034388
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## [226] train-mlogloss:0.064298+0.001908 test-mlogloss:0.838414+0.034771
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## [228] train-mlogloss:0.063555+0.001859 test-mlogloss:0.840365+0.034790
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## [232] train-mlogloss:0.062113+0.002071 test-mlogloss:0.843874+0.034376
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## [240] train-mlogloss:0.059263+0.002200 test-mlogloss:0.849482+0.035833
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## [243] train-mlogloss:0.058184+0.002165 test-mlogloss:0.852942+0.035864
## [244] train-mlogloss:0.057874+0.002244 test-mlogloss:0.853674+0.035610
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## [246] train-mlogloss:0.056997+0.002057 test-mlogloss:0.855487+0.036272
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## [249] train-mlogloss:0.055932+0.001874 test-mlogloss:0.859436+0.034597
## [250] train-mlogloss:0.055585+0.001899 test-mlogloss:0.860108+0.034377
## [251] train-mlogloss:0.055152+0.001900 test-mlogloss:0.861229+0.034636
## [252] train-mlogloss:0.054817+0.001922 test-mlogloss:0.862492+0.034890
## [253] train-mlogloss:0.054475+0.002017 test-mlogloss:0.863370+0.034443
## [254] train-mlogloss:0.054154+0.002064 test-mlogloss:0.864548+0.034812
## [255] train-mlogloss:0.053679+0.002275 test-mlogloss:0.866448+0.036464
## [256] train-mlogloss:0.053377+0.002300 test-mlogloss:0.867572+0.036589
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## [258] train-mlogloss:0.052899+0.002413 test-mlogloss:0.868271+0.036004
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## [260] train-mlogloss:0.052312+0.002387 test-mlogloss:0.871232+0.035894
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## [264] train-mlogloss:0.051206+0.002216 test-mlogloss:0.874239+0.037026
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## [269] train-mlogloss:0.049651+0.002237 test-mlogloss:0.880433+0.038094
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## [272] train-mlogloss:0.049067+0.002257 test-mlogloss:0.882386+0.038165
## [273] train-mlogloss:0.048861+0.002325 test-mlogloss:0.883078+0.038030
## [274] train-mlogloss:0.048571+0.002384 test-mlogloss:0.883676+0.038243
## [275] train-mlogloss:0.048322+0.002476 test-mlogloss:0.884704+0.037839
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## [279] train-mlogloss:0.047356+0.002359 test-mlogloss:0.887915+0.038437
## [280] train-mlogloss:0.047048+0.002329 test-mlogloss:0.888083+0.038404
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## [282] train-mlogloss:0.046641+0.002323 test-mlogloss:0.889679+0.038855
## [283] train-mlogloss:0.046323+0.002257 test-mlogloss:0.890815+0.039580
## [284] train-mlogloss:0.045957+0.002302 test-mlogloss:0.891247+0.039707
## [285] train-mlogloss:0.045688+0.002293 test-mlogloss:0.891611+0.039500
## [286] train-mlogloss:0.045440+0.002328 test-mlogloss:0.892344+0.039950
## [287] train-mlogloss:0.045161+0.002261 test-mlogloss:0.892800+0.040350
## [288] train-mlogloss:0.044870+0.002322 test-mlogloss:0.893769+0.040222
## [289] train-mlogloss:0.044625+0.002419 test-mlogloss:0.894578+0.040071
## [290] train-mlogloss:0.044372+0.002389 test-mlogloss:0.896294+0.039982
## [291] train-mlogloss:0.044096+0.002404 test-mlogloss:0.896646+0.040391
## [292] train-mlogloss:0.043891+0.002451 test-mlogloss:0.897230+0.040616
## [293] train-mlogloss:0.043684+0.002449 test-mlogloss:0.898235+0.041002
## [294] train-mlogloss:0.043417+0.002430 test-mlogloss:0.898574+0.040705
## [295] train-mlogloss:0.043253+0.002409 test-mlogloss:0.899358+0.040689
## [296] train-mlogloss:0.043070+0.002492 test-mlogloss:0.900115+0.040998
## [297] train-mlogloss:0.042853+0.002401 test-mlogloss:0.900689+0.041270
## [298] train-mlogloss:0.042653+0.002373 test-mlogloss:0.901249+0.040980
## [299] train-mlogloss:0.042451+0.002365 test-mlogloss:0.901626+0.041049
## [300] train-mlogloss:0.042270+0.002393 test-mlogloss:0.902388+0.041384
## [301] train-mlogloss:0.042160+0.002425 test-mlogloss:0.902703+0.041440
## [302] train-mlogloss:0.041893+0.002427 test-mlogloss:0.903828+0.041761
## [303] train-mlogloss:0.041658+0.002386 test-mlogloss:0.904667+0.042129
## [304] train-mlogloss:0.041426+0.002321 test-mlogloss:0.905648+0.042297
## [305] train-mlogloss:0.041262+0.002347 test-mlogloss:0.906139+0.042445
## [306] train-mlogloss:0.041067+0.002312 test-mlogloss:0.906921+0.042324
## [307] train-mlogloss:0.040908+0.002297 test-mlogloss:0.907660+0.042790
## [308] train-mlogloss:0.040680+0.002315 test-mlogloss:0.908601+0.043028
## [309] train-mlogloss:0.040513+0.002347 test-mlogloss:0.909431+0.043675
## [310] train-mlogloss:0.040216+0.002241 test-mlogloss:0.910060+0.043122
## [311] train-mlogloss:0.039998+0.002174 test-mlogloss:0.910406+0.042741
## [312] train-mlogloss:0.039744+0.002096 test-mlogloss:0.911080+0.043613
## [313] train-mlogloss:0.039445+0.002042 test-mlogloss:0.912392+0.041853
## [314] train-mlogloss:0.039264+0.002036 test-mlogloss:0.913640+0.041236
## [315] train-mlogloss:0.038983+0.001971 test-mlogloss:0.914378+0.041166
## [316] train-mlogloss:0.038762+0.001948 test-mlogloss:0.914982+0.041426
## [317] train-mlogloss:0.038521+0.002018 test-mlogloss:0.916014+0.041407
## [318] train-mlogloss:0.038338+0.002042 test-mlogloss:0.916973+0.041517
## [319] train-mlogloss:0.038125+0.002021 test-mlogloss:0.917612+0.041078
## [320] train-mlogloss:0.037941+0.002026 test-mlogloss:0.917842+0.041639
## [321] train-mlogloss:0.037733+0.002041 test-mlogloss:0.918734+0.042290
## [322] train-mlogloss:0.037541+0.002009 test-mlogloss:0.919039+0.043013
## [323] train-mlogloss:0.037412+0.001952 test-mlogloss:0.919756+0.042702
## [324] train-mlogloss:0.037262+0.001974 test-mlogloss:0.920236+0.042507
## [325] train-mlogloss:0.037084+0.001938 test-mlogloss:0.921062+0.042421
## [326] train-mlogloss:0.036907+0.001891 test-mlogloss:0.921972+0.042546
## [327] train-mlogloss:0.036787+0.001871 test-mlogloss:0.922304+0.042680
## [328] train-mlogloss:0.036614+0.001828 test-mlogloss:0.923144+0.042064
## [329] train-mlogloss:0.036389+0.001800 test-mlogloss:0.924062+0.042435
## [330] train-mlogloss:0.036160+0.001820 test-mlogloss:0.925296+0.042303
## [331] train-mlogloss:0.035988+0.001826 test-mlogloss:0.925345+0.042109
## [332] train-mlogloss:0.035841+0.001783 test-mlogloss:0.926260+0.041949
## [333] train-mlogloss:0.035714+0.001775 test-mlogloss:0.927144+0.042144
## [334] train-mlogloss:0.035590+0.001805 test-mlogloss:0.927401+0.042283
## [335] train-mlogloss:0.035400+0.001786 test-mlogloss:0.928251+0.042668
## [336] train-mlogloss:0.035238+0.001753 test-mlogloss:0.929164+0.042858
## [337] train-mlogloss:0.035112+0.001712 test-mlogloss:0.929776+0.042974
## [338] train-mlogloss:0.034943+0.001698 test-mlogloss:0.930488+0.042831
## [339] train-mlogloss:0.034778+0.001667 test-mlogloss:0.930781+0.042698
## [340] train-mlogloss:0.034630+0.001643 test-mlogloss:0.930946+0.042571
## [341] train-mlogloss:0.034413+0.001694 test-mlogloss:0.931651+0.043812
## [342] train-mlogloss:0.034238+0.001629 test-mlogloss:0.932532+0.043416
## [343] train-mlogloss:0.034132+0.001656 test-mlogloss:0.933650+0.043818
## [344] train-mlogloss:0.033945+0.001644 test-mlogloss:0.935324+0.044362
## [345] train-mlogloss:0.033672+0.001567 test-mlogloss:0.936244+0.044366
## [346] train-mlogloss:0.033493+0.001517 test-mlogloss:0.937133+0.044404
## [347] train-mlogloss:0.033359+0.001499 test-mlogloss:0.937543+0.044099
## [348] train-mlogloss:0.033257+0.001526 test-mlogloss:0.938697+0.043796
## [349] train-mlogloss:0.033080+0.001463 test-mlogloss:0.939778+0.043570
## [350] train-mlogloss:0.032936+0.001502 test-mlogloss:0.940063+0.043308
## [351] train-mlogloss:0.032738+0.001529 test-mlogloss:0.941105+0.044087
## [352] train-mlogloss:0.032554+0.001558 test-mlogloss:0.941530+0.044024
## [353] train-mlogloss:0.032414+0.001603 test-mlogloss:0.942119+0.044410
## [354] train-mlogloss:0.032290+0.001594 test-mlogloss:0.942915+0.044794
## [355] train-mlogloss:0.032106+0.001586 test-mlogloss:0.943535+0.045231
## [356] train-mlogloss:0.031933+0.001594 test-mlogloss:0.943971+0.045022
## [357] train-mlogloss:0.031803+0.001588 test-mlogloss:0.944573+0.045200
## [358] train-mlogloss:0.031652+0.001574 test-mlogloss:0.944531+0.044908
## [359] train-mlogloss:0.031477+0.001541 test-mlogloss:0.945630+0.045328
## [360] train-mlogloss:0.031233+0.001572 test-mlogloss:0.946908+0.046313
## [361] train-mlogloss:0.031074+0.001515 test-mlogloss:0.947480+0.046143
## [362] train-mlogloss:0.030932+0.001436 test-mlogloss:0.947844+0.046024
## [363] train-mlogloss:0.030833+0.001419 test-mlogloss:0.947865+0.046062
## [364] train-mlogloss:0.030714+0.001362 test-mlogloss:0.948521+0.045126
## [365] train-mlogloss:0.030597+0.001307 test-mlogloss:0.948883+0.045099
## [366] train-mlogloss:0.030506+0.001299 test-mlogloss:0.949457+0.045090
## [367] train-mlogloss:0.030401+0.001275 test-mlogloss:0.950070+0.044980
## [368] train-mlogloss:0.030281+0.001277 test-mlogloss:0.950439+0.045327
## [369] train-mlogloss:0.030184+0.001301 test-mlogloss:0.951323+0.045331
## [370] train-mlogloss:0.030117+0.001327 test-mlogloss:0.951807+0.045375
## [371] train-mlogloss:0.029969+0.001276 test-mlogloss:0.952818+0.045457
## [372] train-mlogloss:0.029838+0.001251 test-mlogloss:0.953439+0.045311
## [373] train-mlogloss:0.029707+0.001228 test-mlogloss:0.954607+0.045174
## [374] train-mlogloss:0.029608+0.001250 test-mlogloss:0.955015+0.044995
## [375] train-mlogloss:0.029535+0.001227 test-mlogloss:0.955056+0.044952
## [376] train-mlogloss:0.029447+0.001239 test-mlogloss:0.955303+0.045043
## [377] train-mlogloss:0.029266+0.001271 test-mlogloss:0.955592+0.045257
## [378] train-mlogloss:0.029104+0.001217 test-mlogloss:0.956615+0.045556
## [379] train-mlogloss:0.029020+0.001249 test-mlogloss:0.957397+0.045434
## [380] train-mlogloss:0.028866+0.001280 test-mlogloss:0.958264+0.045451
## [381] train-mlogloss:0.028708+0.001257 test-mlogloss:0.959078+0.045449
## [382] train-mlogloss:0.028569+0.001270 test-mlogloss:0.959445+0.045753
## [383] train-mlogloss:0.028414+0.001276 test-mlogloss:0.960008+0.045620
## [384] train-mlogloss:0.028304+0.001280 test-mlogloss:0.960866+0.045165
## [385] train-mlogloss:0.028123+0.001288 test-mlogloss:0.961755+0.045207
## [386] train-mlogloss:0.028027+0.001295 test-mlogloss:0.962187+0.045360
## [387] train-mlogloss:0.027919+0.001286 test-mlogloss:0.962176+0.044947
## [388] train-mlogloss:0.027798+0.001268 test-mlogloss:0.963141+0.045203
## [389] train-mlogloss:0.027730+0.001259 test-mlogloss:0.963145+0.045079
## [390] train-mlogloss:0.027653+0.001270 test-mlogloss:0.963903+0.044865
## [391] train-mlogloss:0.027581+0.001264 test-mlogloss:0.964692+0.044943
## [392] train-mlogloss:0.027469+0.001254 test-mlogloss:0.965529+0.045227
## [393] train-mlogloss:0.027376+0.001226 test-mlogloss:0.966110+0.045485
## [394] train-mlogloss:0.027247+0.001255 test-mlogloss:0.966722+0.045600
## [395] train-mlogloss:0.027112+0.001277 test-mlogloss:0.967856+0.045153
## [396] train-mlogloss:0.027029+0.001313 test-mlogloss:0.968435+0.045328
## [397] train-mlogloss:0.026907+0.001319 test-mlogloss:0.969229+0.045541
## [398] train-mlogloss:0.026770+0.001260 test-mlogloss:0.970093+0.044898
## [399] train-mlogloss:0.026685+0.001273 test-mlogloss:0.970579+0.044793
## [400] train-mlogloss:0.026581+0.001268 test-mlogloss:0.971869+0.044402
## [401] train-mlogloss:0.026479+0.001254 test-mlogloss:0.972677+0.044116
## [402] train-mlogloss:0.026425+0.001247 test-mlogloss:0.973091+0.043585
## [403] train-mlogloss:0.026304+0.001223 test-mlogloss:0.974161+0.043521
## [404] train-mlogloss:0.026165+0.001219 test-mlogloss:0.975022+0.043446
## [405] train-mlogloss:0.026055+0.001173 test-mlogloss:0.975907+0.043363
## [406] train-mlogloss:0.025950+0.001183 test-mlogloss:0.977100+0.043610
## [407] train-mlogloss:0.025866+0.001160 test-mlogloss:0.977483+0.043575
## [408] train-mlogloss:0.025755+0.001153 test-mlogloss:0.978698+0.044227
## [409] train-mlogloss:0.025651+0.001161 test-mlogloss:0.979138+0.044120
## [410] train-mlogloss:0.025526+0.001145 test-mlogloss:0.979622+0.043970
## [411] train-mlogloss:0.025398+0.001156 test-mlogloss:0.979732+0.043721
## [412] train-mlogloss:0.025312+0.001129 test-mlogloss:0.980017+0.043667
## [413] train-mlogloss:0.025221+0.001109 test-mlogloss:0.980056+0.043742
## [414] train-mlogloss:0.025140+0.001100 test-mlogloss:0.980921+0.044032
## [415] train-mlogloss:0.025008+0.001116 test-mlogloss:0.981949+0.044333
## [416] train-mlogloss:0.024859+0.001068 test-mlogloss:0.982611+0.044579
## [417] train-mlogloss:0.024739+0.001052 test-mlogloss:0.983116+0.044997
## [418] train-mlogloss:0.024633+0.001036 test-mlogloss:0.983979+0.044298
## [419] train-mlogloss:0.024474+0.001034 test-mlogloss:0.985208+0.044568
## [420] train-mlogloss:0.024359+0.001009 test-mlogloss:0.985230+0.044674
## [421] train-mlogloss:0.024266+0.000988 test-mlogloss:0.985873+0.044500
## [422] train-mlogloss:0.024152+0.000984 test-mlogloss:0.987268+0.044646
## [423] train-mlogloss:0.024057+0.000962 test-mlogloss:0.987857+0.044843
## [424] train-mlogloss:0.023977+0.000938 test-mlogloss:0.988263+0.045346
## [425] train-mlogloss:0.023891+0.000903 test-mlogloss:0.988815+0.045548
## [426] train-mlogloss:0.023815+0.000915 test-mlogloss:0.989611+0.045689
## [427] train-mlogloss:0.023742+0.000924 test-mlogloss:0.989686+0.045659
## [428] train-mlogloss:0.023642+0.000914 test-mlogloss:0.990641+0.045819
## [429] train-mlogloss:0.023572+0.000929 test-mlogloss:0.990768+0.045865
## [430] train-mlogloss:0.023506+0.000913 test-mlogloss:0.991317+0.045641
## [431] train-mlogloss:0.023444+0.000914 test-mlogloss:0.991609+0.046004
## [432] train-mlogloss:0.023401+0.000902 test-mlogloss:0.991635+0.045705
## [433] train-mlogloss:0.023326+0.000881 test-mlogloss:0.992137+0.045874
## [434] train-mlogloss:0.023257+0.000904 test-mlogloss:0.993149+0.045897
## [435] train-mlogloss:0.023202+0.000903 test-mlogloss:0.993880+0.045803
## [436] train-mlogloss:0.023124+0.000896 test-mlogloss:0.994403+0.045435
## [437] train-mlogloss:0.023064+0.000881 test-mlogloss:0.994747+0.045479
## [438] train-mlogloss:0.023003+0.000863 test-mlogloss:0.994908+0.045429
## [439] train-mlogloss:0.022928+0.000846 test-mlogloss:0.995233+0.044980
## [440] train-mlogloss:0.022830+0.000849 test-mlogloss:0.995587+0.045572
## [441] train-mlogloss:0.022740+0.000864 test-mlogloss:0.996139+0.045764
## [442] train-mlogloss:0.022640+0.000855 test-mlogloss:0.996794+0.045865
## [443] train-mlogloss:0.022598+0.000865 test-mlogloss:0.997255+0.045927
## [444] train-mlogloss:0.022534+0.000859 test-mlogloss:0.997662+0.045752
## [445] train-mlogloss:0.022471+0.000848 test-mlogloss:0.998313+0.045925
## [446] train-mlogloss:0.022371+0.000839 test-mlogloss:0.999272+0.046392
## [447] train-mlogloss:0.022312+0.000835 test-mlogloss:1.000051+0.047063
## [448] train-mlogloss:0.022238+0.000837 test-mlogloss:1.000381+0.047341
## [449] train-mlogloss:0.022188+0.000837 test-mlogloss:1.000964+0.047315
## [450] train-mlogloss:0.022120+0.000843 test-mlogloss:1.001840+0.047337
## [451] train-mlogloss:0.022073+0.000852 test-mlogloss:1.002218+0.047402
## [452] train-mlogloss:0.021980+0.000845 test-mlogloss:1.002779+0.047048
## [453] train-mlogloss:0.021923+0.000842 test-mlogloss:1.003492+0.046977
## [454] train-mlogloss:0.021855+0.000864 test-mlogloss:1.003701+0.046506
## [455] train-mlogloss:0.021785+0.000868 test-mlogloss:1.004206+0.046425
## [456] train-mlogloss:0.021688+0.000872 test-mlogloss:1.005043+0.046277
## [457] train-mlogloss:0.021613+0.000873 test-mlogloss:1.005139+0.046350
## [458] train-mlogloss:0.021531+0.000850 test-mlogloss:1.005844+0.046256
## [459] train-mlogloss:0.021468+0.000851 test-mlogloss:1.005897+0.046284
## [460] train-mlogloss:0.021410+0.000857 test-mlogloss:1.006413+0.046086
## [461] train-mlogloss:0.021337+0.000870 test-mlogloss:1.007115+0.046171
## [462] train-mlogloss:0.021258+0.000858 test-mlogloss:1.007326+0.046236
## [463] train-mlogloss:0.021195+0.000851 test-mlogloss:1.007558+0.046608
## [464] train-mlogloss:0.021121+0.000836 test-mlogloss:1.007761+0.046236
## [465] train-mlogloss:0.021030+0.000800 test-mlogloss:1.007919+0.046680
## [466] train-mlogloss:0.020955+0.000804 test-mlogloss:1.008389+0.046209
## [467] train-mlogloss:0.020909+0.000810 test-mlogloss:1.008610+0.046808
## [468] train-mlogloss:0.020829+0.000837 test-mlogloss:1.009072+0.046958
## [469] train-mlogloss:0.020783+0.000857 test-mlogloss:1.009831+0.046893
## [470] train-mlogloss:0.020714+0.000874 test-mlogloss:1.010472+0.047400
## [471] train-mlogloss:0.020664+0.000888 test-mlogloss:1.010724+0.047329
## [472] train-mlogloss:0.020608+0.000896 test-mlogloss:1.010712+0.047287
## [473] train-mlogloss:0.020544+0.000900 test-mlogloss:1.011467+0.047237
## [474] train-mlogloss:0.020487+0.000894 test-mlogloss:1.011604+0.046918
## [475] train-mlogloss:0.020424+0.000897 test-mlogloss:1.012022+0.047077
## [476] train-mlogloss:0.020385+0.000888 test-mlogloss:1.012522+0.047065
## [477] train-mlogloss:0.020337+0.000907 test-mlogloss:1.012841+0.047085
## [478] train-mlogloss:0.020294+0.000907 test-mlogloss:1.013403+0.047583
## [479] train-mlogloss:0.020224+0.000905 test-mlogloss:1.013971+0.047697
## [480] train-mlogloss:0.020176+0.000889 test-mlogloss:1.014386+0.047859
## [481] train-mlogloss:0.020094+0.000865 test-mlogloss:1.015155+0.047701
## [482] train-mlogloss:0.020038+0.000850 test-mlogloss:1.014906+0.047432
## [483] train-mlogloss:0.019966+0.000835 test-mlogloss:1.015863+0.047709
## [484] train-mlogloss:0.019916+0.000829 test-mlogloss:1.015834+0.048043
## [485] train-mlogloss:0.019845+0.000797 test-mlogloss:1.016365+0.048131
## [486] train-mlogloss:0.019795+0.000800 test-mlogloss:1.016463+0.047826
## [487] train-mlogloss:0.019745+0.000799 test-mlogloss:1.017398+0.047891
## [488] train-mlogloss:0.019664+0.000803 test-mlogloss:1.018064+0.048293
## [489] train-mlogloss:0.019622+0.000807 test-mlogloss:1.018229+0.048313
## [490] train-mlogloss:0.019562+0.000814 test-mlogloss:1.018908+0.048336
## [491] train-mlogloss:0.019521+0.000819 test-mlogloss:1.019385+0.048165
## [492] train-mlogloss:0.019454+0.000857 test-mlogloss:1.020445+0.048402
## [493] train-mlogloss:0.019391+0.000879 test-mlogloss:1.021196+0.049167
## [494] train-mlogloss:0.019316+0.000878 test-mlogloss:1.022134+0.049477
## [495] train-mlogloss:0.019264+0.000896 test-mlogloss:1.022849+0.049732
## [496] train-mlogloss:0.019197+0.000915 test-mlogloss:1.023410+0.049861
## [497] train-mlogloss:0.019160+0.000920 test-mlogloss:1.023585+0.050009
## [498] train-mlogloss:0.019104+0.000899 test-mlogloss:1.024160+0.049564
## [499] train-mlogloss:0.019048+0.000897 test-mlogloss:1.024357+0.049223
## [500] train-mlogloss:0.018958+0.000894 test-mlogloss:1.025001+0.049382
## [1] train-mlogloss:0.440090+0.006483 test-mlogloss:0.583535+0.015187
## [2] train-mlogloss:0.337905+0.004113 test-mlogloss:0.582767+0.023293
## [3] train-mlogloss:0.274606+0.004015 test-mlogloss:0.601422+0.029429
## [4] train-mlogloss:0.230023+0.005231 test-mlogloss:0.618143+0.032482
## [5] train-mlogloss:0.197094+0.004148 test-mlogloss:0.631043+0.033675
## [6] train-mlogloss:0.176293+0.004056 test-mlogloss:0.641355+0.035000
## [7] train-mlogloss:0.158181+0.006930 test-mlogloss:0.651321+0.035587
## [8] train-mlogloss:0.144269+0.008318 test-mlogloss:0.659594+0.038200
## [9] train-mlogloss:0.132643+0.009701 test-mlogloss:0.667653+0.039002
## [10] train-mlogloss:0.119725+0.010500 test-mlogloss:0.674220+0.041359
## [11] train-mlogloss:0.110080+0.007771 test-mlogloss:0.679405+0.042673
## [12] train-mlogloss:0.103044+0.005973 test-mlogloss:0.685445+0.043610
## [13] train-mlogloss:0.095934+0.005645 test-mlogloss:0.692128+0.043847
## [14] train-mlogloss:0.089138+0.004290 test-mlogloss:0.698190+0.043461
## [15] train-mlogloss:0.083775+0.003075 test-mlogloss:0.704161+0.044495
## [16] train-mlogloss:0.079369+0.003206 test-mlogloss:0.707061+0.044641
## [17] train-mlogloss:0.074335+0.002989 test-mlogloss:0.712107+0.044646
## [18] train-mlogloss:0.070706+0.003568 test-mlogloss:0.716830+0.047473
## [19] train-mlogloss:0.067458+0.003704 test-mlogloss:0.719876+0.047989
## [20] train-mlogloss:0.064210+0.003573 test-mlogloss:0.725351+0.048815
## [21] train-mlogloss:0.061253+0.003172 test-mlogloss:0.731092+0.049964
## [22] train-mlogloss:0.058139+0.002995 test-mlogloss:0.737614+0.051611
## [23] train-mlogloss:0.055387+0.002545 test-mlogloss:0.742561+0.053211
## [24] train-mlogloss:0.052703+0.002183 test-mlogloss:0.749237+0.053985
## [25] train-mlogloss:0.050582+0.001811 test-mlogloss:0.751508+0.054465
## [26] train-mlogloss:0.048682+0.001817 test-mlogloss:0.756688+0.054699
## [27] train-mlogloss:0.046765+0.001858 test-mlogloss:0.759766+0.054638
## [28] train-mlogloss:0.045230+0.001741 test-mlogloss:0.762600+0.055116
## [29] train-mlogloss:0.043516+0.001555 test-mlogloss:0.765106+0.055325
## [30] train-mlogloss:0.042073+0.001493 test-mlogloss:0.769107+0.056137
## [31] train-mlogloss:0.040790+0.001077 test-mlogloss:0.772945+0.056552
## [32] train-mlogloss:0.039704+0.001062 test-mlogloss:0.776534+0.056812
## [33] train-mlogloss:0.038496+0.001013 test-mlogloss:0.780243+0.057055
## [34] train-mlogloss:0.037318+0.000895 test-mlogloss:0.784813+0.057621
## [35] train-mlogloss:0.036239+0.000885 test-mlogloss:0.787420+0.057010
## [36] train-mlogloss:0.035395+0.000804 test-mlogloss:0.790789+0.056629
## [37] train-mlogloss:0.034457+0.000732 test-mlogloss:0.794066+0.057320
## [38] train-mlogloss:0.033610+0.000737 test-mlogloss:0.797602+0.058265
## [39] train-mlogloss:0.032772+0.000697 test-mlogloss:0.800208+0.058684
## [40] train-mlogloss:0.031942+0.000626 test-mlogloss:0.801784+0.058187
## [41] train-mlogloss:0.031204+0.000562 test-mlogloss:0.804445+0.058981
## [42] train-mlogloss:0.030502+0.000564 test-mlogloss:0.806947+0.060200
## [43] train-mlogloss:0.029846+0.000558 test-mlogloss:0.809128+0.060665
## [44] train-mlogloss:0.029133+0.000508 test-mlogloss:0.811841+0.060450
## [45] train-mlogloss:0.028548+0.000477 test-mlogloss:0.813472+0.061138
## [46] train-mlogloss:0.027998+0.000495 test-mlogloss:0.815835+0.060727
## [47] train-mlogloss:0.027468+0.000477 test-mlogloss:0.818229+0.061744
## [48] train-mlogloss:0.026934+0.000479 test-mlogloss:0.820204+0.061409
## [49] train-mlogloss:0.026458+0.000512 test-mlogloss:0.822680+0.061582
## [50] train-mlogloss:0.025962+0.000496 test-mlogloss:0.824822+0.062684
## [51] train-mlogloss:0.025537+0.000512 test-mlogloss:0.826870+0.063210
## [52] train-mlogloss:0.025114+0.000516 test-mlogloss:0.828858+0.063876
## [53] train-mlogloss:0.024684+0.000535 test-mlogloss:0.831954+0.064225
## [54] train-mlogloss:0.024271+0.000525 test-mlogloss:0.833837+0.064728
## [55] train-mlogloss:0.023831+0.000518 test-mlogloss:0.836141+0.064778
## [56] train-mlogloss:0.023454+0.000531 test-mlogloss:0.839622+0.065149
## [57] train-mlogloss:0.023075+0.000505 test-mlogloss:0.842569+0.066008
## [58] train-mlogloss:0.022717+0.000474 test-mlogloss:0.844832+0.066118
## [59] train-mlogloss:0.022384+0.000442 test-mlogloss:0.846097+0.065671
## [60] train-mlogloss:0.022051+0.000440 test-mlogloss:0.848701+0.066103
## [61] train-mlogloss:0.021767+0.000440 test-mlogloss:0.850230+0.067181
## [62] train-mlogloss:0.021461+0.000458 test-mlogloss:0.852501+0.067251
## [63] train-mlogloss:0.021175+0.000444 test-mlogloss:0.853628+0.067634
## [64] train-mlogloss:0.020865+0.000433 test-mlogloss:0.855032+0.068049
## [65] train-mlogloss:0.020576+0.000415 test-mlogloss:0.857277+0.067957
## [66] train-mlogloss:0.020309+0.000406 test-mlogloss:0.858754+0.068178
## [67] train-mlogloss:0.020042+0.000422 test-mlogloss:0.860599+0.067154
## [68] train-mlogloss:0.019782+0.000424 test-mlogloss:0.862032+0.067539
## [69] train-mlogloss:0.019514+0.000408 test-mlogloss:0.863732+0.067006
## [70] train-mlogloss:0.019263+0.000420 test-mlogloss:0.865568+0.067239
## [71] train-mlogloss:0.019026+0.000406 test-mlogloss:0.866696+0.066797
## [72] train-mlogloss:0.018816+0.000396 test-mlogloss:0.867929+0.067126
## [73] train-mlogloss:0.018595+0.000385 test-mlogloss:0.869514+0.067247
## [74] train-mlogloss:0.018381+0.000366 test-mlogloss:0.870523+0.067606
## [75] train-mlogloss:0.018174+0.000374 test-mlogloss:0.871588+0.068634
## [76] train-mlogloss:0.017977+0.000379 test-mlogloss:0.873948+0.069066
## [77] train-mlogloss:0.017790+0.000386 test-mlogloss:0.875482+0.069139
## [78] train-mlogloss:0.017601+0.000379 test-mlogloss:0.876800+0.068987
## [79] train-mlogloss:0.017422+0.000377 test-mlogloss:0.878576+0.068214
## [80] train-mlogloss:0.017232+0.000361 test-mlogloss:0.878989+0.068623
## [81] train-mlogloss:0.017059+0.000353 test-mlogloss:0.879801+0.068322
## [82] train-mlogloss:0.016890+0.000352 test-mlogloss:0.881685+0.068216
## [83] train-mlogloss:0.016725+0.000359 test-mlogloss:0.883470+0.068789
## [84] train-mlogloss:0.016556+0.000352 test-mlogloss:0.884537+0.068792
## [85] train-mlogloss:0.016392+0.000336 test-mlogloss:0.885106+0.069217
## [86] train-mlogloss:0.016244+0.000344 test-mlogloss:0.887746+0.069623
## [87] train-mlogloss:0.016086+0.000340 test-mlogloss:0.888751+0.069675
## [88] train-mlogloss:0.015937+0.000341 test-mlogloss:0.890002+0.070186
## [89] train-mlogloss:0.015792+0.000343 test-mlogloss:0.891117+0.071009
## [90] train-mlogloss:0.015645+0.000348 test-mlogloss:0.892025+0.070607
## [91] train-mlogloss:0.015523+0.000343 test-mlogloss:0.892981+0.070839
## [92] train-mlogloss:0.015388+0.000332 test-mlogloss:0.894811+0.070682
## [93] train-mlogloss:0.015256+0.000325 test-mlogloss:0.896206+0.071799
## [94] train-mlogloss:0.015135+0.000331 test-mlogloss:0.897347+0.072061
## [95] train-mlogloss:0.015023+0.000329 test-mlogloss:0.897607+0.072084
## [96] train-mlogloss:0.014900+0.000322 test-mlogloss:0.898857+0.072193
## [97] train-mlogloss:0.014785+0.000322 test-mlogloss:0.899640+0.071972
## [98] train-mlogloss:0.014673+0.000330 test-mlogloss:0.900319+0.072467
## [99] train-mlogloss:0.014556+0.000331 test-mlogloss:0.901413+0.072338
## [100] train-mlogloss:0.014436+0.000321 test-mlogloss:0.902986+0.072124
## [101] train-mlogloss:0.014320+0.000310 test-mlogloss:0.904285+0.072774
## [102] train-mlogloss:0.014209+0.000312 test-mlogloss:0.905431+0.072967
## [103] train-mlogloss:0.014104+0.000311 test-mlogloss:0.906504+0.072603
## [104] train-mlogloss:0.013991+0.000310 test-mlogloss:0.907535+0.072819
## [105] train-mlogloss:0.013892+0.000302 test-mlogloss:0.909256+0.072747
## [106] train-mlogloss:0.013792+0.000294 test-mlogloss:0.910312+0.072591
## [107] train-mlogloss:0.013695+0.000293 test-mlogloss:0.912004+0.072274
## [108] train-mlogloss:0.013604+0.000285 test-mlogloss:0.913499+0.072443
## [109] train-mlogloss:0.013508+0.000281 test-mlogloss:0.915008+0.072091
## [110] train-mlogloss:0.013407+0.000278 test-mlogloss:0.916328+0.072326
## [111] train-mlogloss:0.013315+0.000276 test-mlogloss:0.916736+0.072361
## [112] train-mlogloss:0.013221+0.000268 test-mlogloss:0.917819+0.072375
## [113] train-mlogloss:0.013138+0.000261 test-mlogloss:0.919282+0.072607
## [114] train-mlogloss:0.013050+0.000257 test-mlogloss:0.919538+0.072998
## [115] train-mlogloss:0.012958+0.000254 test-mlogloss:0.920253+0.072500
## [116] train-mlogloss:0.012871+0.000252 test-mlogloss:0.920970+0.072853
## [117] train-mlogloss:0.012796+0.000249 test-mlogloss:0.922379+0.072800
## [118] train-mlogloss:0.012715+0.000249 test-mlogloss:0.922766+0.073130
## [119] train-mlogloss:0.012642+0.000242 test-mlogloss:0.924066+0.072840
## [120] train-mlogloss:0.012564+0.000244 test-mlogloss:0.925646+0.072429
## [121] train-mlogloss:0.012482+0.000236 test-mlogloss:0.926051+0.072832
## [122] train-mlogloss:0.012404+0.000235 test-mlogloss:0.926846+0.072729
## [123] train-mlogloss:0.012333+0.000223 test-mlogloss:0.927585+0.072832
## [124] train-mlogloss:0.012259+0.000219 test-mlogloss:0.928495+0.072188
## [125] train-mlogloss:0.012187+0.000214 test-mlogloss:0.929207+0.072785
## [126] train-mlogloss:0.012119+0.000212 test-mlogloss:0.930208+0.072758
## [127] train-mlogloss:0.012053+0.000207 test-mlogloss:0.930865+0.072577
## [128] train-mlogloss:0.011987+0.000203 test-mlogloss:0.931846+0.072898
## [129] train-mlogloss:0.011921+0.000204 test-mlogloss:0.932942+0.072891
## [130] train-mlogloss:0.011851+0.000204 test-mlogloss:0.934270+0.072865
## [131] train-mlogloss:0.011784+0.000198 test-mlogloss:0.934713+0.072941
## [132] train-mlogloss:0.011722+0.000188 test-mlogloss:0.934979+0.073185
## [133] train-mlogloss:0.011655+0.000181 test-mlogloss:0.936421+0.073108
## [134] train-mlogloss:0.011592+0.000176 test-mlogloss:0.937570+0.073196
## [135] train-mlogloss:0.011525+0.000179 test-mlogloss:0.938512+0.073370
## [136] train-mlogloss:0.011463+0.000174 test-mlogloss:0.939584+0.072599
## [137] train-mlogloss:0.011402+0.000176 test-mlogloss:0.940532+0.072597
## [138] train-mlogloss:0.011342+0.000175 test-mlogloss:0.941593+0.072964
## [139] train-mlogloss:0.011282+0.000174 test-mlogloss:0.941904+0.072352
## [140] train-mlogloss:0.011227+0.000174 test-mlogloss:0.942707+0.072040
## [141] train-mlogloss:0.011165+0.000170 test-mlogloss:0.944001+0.072278
## [142] train-mlogloss:0.011104+0.000168 test-mlogloss:0.944306+0.072143
## [143] train-mlogloss:0.011046+0.000163 test-mlogloss:0.944708+0.072576
## [144] train-mlogloss:0.010991+0.000160 test-mlogloss:0.945650+0.072772
## [145] train-mlogloss:0.010936+0.000164 test-mlogloss:0.946470+0.072466
## [146] train-mlogloss:0.010888+0.000163 test-mlogloss:0.946664+0.072968
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## [148] train-mlogloss:0.010773+0.000162 test-mlogloss:0.948472+0.073286
## [149] train-mlogloss:0.010725+0.000162 test-mlogloss:0.949047+0.072626
## [150] train-mlogloss:0.010679+0.000159 test-mlogloss:0.949339+0.073282
## [151] train-mlogloss:0.010628+0.000159 test-mlogloss:0.950072+0.073125
## [152] train-mlogloss:0.010583+0.000162 test-mlogloss:0.950934+0.073182
## [153] train-mlogloss:0.010537+0.000160 test-mlogloss:0.951533+0.073331
## [154] train-mlogloss:0.010494+0.000157 test-mlogloss:0.952346+0.073400
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## [157] train-mlogloss:0.010358+0.000154 test-mlogloss:0.954509+0.073562
## [158] train-mlogloss:0.010318+0.000147 test-mlogloss:0.954899+0.073776
## [159] train-mlogloss:0.010274+0.000146 test-mlogloss:0.955255+0.073448
## [160] train-mlogloss:0.010225+0.000139 test-mlogloss:0.955700+0.073028
## [161] train-mlogloss:0.010182+0.000137 test-mlogloss:0.956402+0.073582
## [162] train-mlogloss:0.010141+0.000136 test-mlogloss:0.957104+0.073956
## [163] train-mlogloss:0.010100+0.000135 test-mlogloss:0.957525+0.074090
## [164] train-mlogloss:0.010059+0.000131 test-mlogloss:0.957540+0.074454
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## [168] train-mlogloss:0.009898+0.000126 test-mlogloss:0.960943+0.073580
## [169] train-mlogloss:0.009858+0.000129 test-mlogloss:0.961262+0.073139
## [170] train-mlogloss:0.009820+0.000131 test-mlogloss:0.961445+0.073269
## [171] train-mlogloss:0.009778+0.000130 test-mlogloss:0.962268+0.073655
## [172] train-mlogloss:0.009740+0.000127 test-mlogloss:0.962849+0.073388
## [173] train-mlogloss:0.009705+0.000127 test-mlogloss:0.963718+0.073703
## [174] train-mlogloss:0.009667+0.000128 test-mlogloss:0.964104+0.073911
## [175] train-mlogloss:0.009629+0.000123 test-mlogloss:0.964772+0.074146
## [176] train-mlogloss:0.009590+0.000126 test-mlogloss:0.965822+0.073665
## [177] train-mlogloss:0.009556+0.000129 test-mlogloss:0.966350+0.073678
## [178] train-mlogloss:0.009514+0.000127 test-mlogloss:0.966679+0.073606
## [179] train-mlogloss:0.009482+0.000120 test-mlogloss:0.967052+0.074019
## [180] train-mlogloss:0.009442+0.000124 test-mlogloss:0.968182+0.074301
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## [182] train-mlogloss:0.009372+0.000119 test-mlogloss:0.968738+0.074174
## [183] train-mlogloss:0.009339+0.000116 test-mlogloss:0.969673+0.074237
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## [185] train-mlogloss:0.009274+0.000116 test-mlogloss:0.970541+0.074659
## [186] train-mlogloss:0.009241+0.000121 test-mlogloss:0.971263+0.074960
## [187] train-mlogloss:0.009210+0.000123 test-mlogloss:0.971876+0.075164
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## [189] train-mlogloss:0.009144+0.000124 test-mlogloss:0.972926+0.075346
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## [191] train-mlogloss:0.009081+0.000124 test-mlogloss:0.974391+0.075304
## [192] train-mlogloss:0.009051+0.000121 test-mlogloss:0.974389+0.075525
## [193] train-mlogloss:0.009019+0.000125 test-mlogloss:0.975224+0.075574
## [194] train-mlogloss:0.008989+0.000127 test-mlogloss:0.975665+0.075188
## [195] train-mlogloss:0.008958+0.000130 test-mlogloss:0.976604+0.074919
## [196] train-mlogloss:0.008925+0.000128 test-mlogloss:0.976865+0.075141
## [197] train-mlogloss:0.008896+0.000125 test-mlogloss:0.977303+0.075539
## [198] train-mlogloss:0.008869+0.000124 test-mlogloss:0.977953+0.075478
## [199] train-mlogloss:0.008841+0.000125 test-mlogloss:0.978313+0.075535
## [200] train-mlogloss:0.008814+0.000125 test-mlogloss:0.979007+0.075759
## [201] train-mlogloss:0.008785+0.000125 test-mlogloss:0.979751+0.076018
## [202] train-mlogloss:0.008754+0.000125 test-mlogloss:0.979583+0.076193
## [203] train-mlogloss:0.008726+0.000122 test-mlogloss:0.980325+0.075785
## [204] train-mlogloss:0.008699+0.000121 test-mlogloss:0.980987+0.075785
## [205] train-mlogloss:0.008673+0.000119 test-mlogloss:0.981585+0.075939
## [206] train-mlogloss:0.008645+0.000120 test-mlogloss:0.981984+0.075556
## [207] train-mlogloss:0.008621+0.000121 test-mlogloss:0.982321+0.075672
## [208] train-mlogloss:0.008591+0.000121 test-mlogloss:0.982795+0.075696
## [209] train-mlogloss:0.008567+0.000119 test-mlogloss:0.983483+0.075886
## [210] train-mlogloss:0.008541+0.000117 test-mlogloss:0.984453+0.075681
## [211] train-mlogloss:0.008516+0.000118 test-mlogloss:0.984832+0.076162
## [212] train-mlogloss:0.008488+0.000118 test-mlogloss:0.984823+0.076164
## [213] train-mlogloss:0.008464+0.000120 test-mlogloss:0.985218+0.075872
## [214] train-mlogloss:0.008440+0.000118 test-mlogloss:0.985541+0.075716
## [215] train-mlogloss:0.008416+0.000118 test-mlogloss:0.986014+0.075508
## [216] train-mlogloss:0.008392+0.000119 test-mlogloss:0.986153+0.075865
## [217] train-mlogloss:0.008368+0.000119 test-mlogloss:0.987143+0.076132
## [218] train-mlogloss:0.008344+0.000118 test-mlogloss:0.987497+0.075974
## [219] train-mlogloss:0.008319+0.000120 test-mlogloss:0.987840+0.075884
## [220] train-mlogloss:0.008296+0.000120 test-mlogloss:0.988637+0.075825
## [221] train-mlogloss:0.008274+0.000119 test-mlogloss:0.989086+0.076053
## [222] train-mlogloss:0.008250+0.000118 test-mlogloss:0.989644+0.076240
## [223] train-mlogloss:0.008227+0.000118 test-mlogloss:0.990440+0.076000
## [224] train-mlogloss:0.008203+0.000118 test-mlogloss:0.990630+0.076039
## [225] train-mlogloss:0.008180+0.000118 test-mlogloss:0.991015+0.076639
## [226] train-mlogloss:0.008159+0.000118 test-mlogloss:0.991874+0.076286
## [227] train-mlogloss:0.008139+0.000120 test-mlogloss:0.991891+0.076018
## [228] train-mlogloss:0.008118+0.000121 test-mlogloss:0.992192+0.076354
## [229] train-mlogloss:0.008094+0.000122 test-mlogloss:0.992846+0.076537
## [230] train-mlogloss:0.008069+0.000122 test-mlogloss:0.993373+0.076787
## [231] train-mlogloss:0.008047+0.000121 test-mlogloss:0.994120+0.076329
## [232] train-mlogloss:0.008027+0.000120 test-mlogloss:0.994540+0.076366
## [233] train-mlogloss:0.008007+0.000120 test-mlogloss:0.995030+0.076059
## [234] train-mlogloss:0.007985+0.000120 test-mlogloss:0.995080+0.076053
## [235] train-mlogloss:0.007964+0.000118 test-mlogloss:0.995718+0.076478
## [236] train-mlogloss:0.007945+0.000118 test-mlogloss:0.996519+0.076860
## [237] train-mlogloss:0.007921+0.000117 test-mlogloss:0.996878+0.077021
## [238] train-mlogloss:0.007900+0.000116 test-mlogloss:0.997112+0.077192
## [239] train-mlogloss:0.007878+0.000117 test-mlogloss:0.997560+0.077716
## [240] train-mlogloss:0.007858+0.000117 test-mlogloss:0.998057+0.077784
## [241] train-mlogloss:0.007838+0.000117 test-mlogloss:0.997899+0.077847
## [242] train-mlogloss:0.007820+0.000116 test-mlogloss:0.998610+0.077666
## [243] train-mlogloss:0.007802+0.000116 test-mlogloss:0.998886+0.077533
## [244] train-mlogloss:0.007782+0.000116 test-mlogloss:0.999197+0.077028
## [245] train-mlogloss:0.007763+0.000114 test-mlogloss:0.999486+0.076755
## [246] train-mlogloss:0.007743+0.000112 test-mlogloss:0.999878+0.077072
## [247] train-mlogloss:0.007724+0.000110 test-mlogloss:1.000304+0.076859
## [248] train-mlogloss:0.007705+0.000110 test-mlogloss:1.000800+0.076628
## [249] train-mlogloss:0.007686+0.000111 test-mlogloss:1.000867+0.076969
## [250] train-mlogloss:0.007667+0.000112 test-mlogloss:1.000757+0.077411
## [251] train-mlogloss:0.007648+0.000113 test-mlogloss:1.001257+0.077008
## [252] train-mlogloss:0.007628+0.000110 test-mlogloss:1.001596+0.076664
## [253] train-mlogloss:0.007606+0.000110 test-mlogloss:1.002068+0.076858
## [254] train-mlogloss:0.007585+0.000109 test-mlogloss:1.002628+0.076370
## [255] train-mlogloss:0.007566+0.000109 test-mlogloss:1.002767+0.076532
## [256] train-mlogloss:0.007549+0.000110 test-mlogloss:1.003598+0.076685
## [257] train-mlogloss:0.007531+0.000109 test-mlogloss:1.003887+0.076579
## [258] train-mlogloss:0.007512+0.000111 test-mlogloss:1.004671+0.076483
## [259] train-mlogloss:0.007494+0.000111 test-mlogloss:1.004937+0.076161
## [260] train-mlogloss:0.007477+0.000111 test-mlogloss:1.005242+0.076243
## [261] train-mlogloss:0.007460+0.000110 test-mlogloss:1.005687+0.076535
## [262] train-mlogloss:0.007444+0.000109 test-mlogloss:1.005965+0.076829
## [263] train-mlogloss:0.007426+0.000109 test-mlogloss:1.006413+0.076393
## [264] train-mlogloss:0.007406+0.000108 test-mlogloss:1.007286+0.076727
## [265] train-mlogloss:0.007390+0.000108 test-mlogloss:1.007665+0.076748
## [266] train-mlogloss:0.007371+0.000108 test-mlogloss:1.007793+0.076445
## [267] train-mlogloss:0.007355+0.000108 test-mlogloss:1.007936+0.076755
## [268] train-mlogloss:0.007339+0.000108 test-mlogloss:1.008289+0.076658
## [269] train-mlogloss:0.007321+0.000108 test-mlogloss:1.008687+0.076775
## [270] train-mlogloss:0.007306+0.000109 test-mlogloss:1.009106+0.076795
## [271] train-mlogloss:0.007291+0.000109 test-mlogloss:1.008698+0.076882
## [272] train-mlogloss:0.007273+0.000111 test-mlogloss:1.009429+0.076961
## [273] train-mlogloss:0.007256+0.000110 test-mlogloss:1.009365+0.076642
## [274] train-mlogloss:0.007240+0.000110 test-mlogloss:1.009735+0.076812
## [275] train-mlogloss:0.007224+0.000109 test-mlogloss:1.010031+0.076766
## [276] train-mlogloss:0.007206+0.000107 test-mlogloss:1.010543+0.076458
## [277] train-mlogloss:0.007190+0.000108 test-mlogloss:1.010938+0.076880
## [278] train-mlogloss:0.007175+0.000108 test-mlogloss:1.011047+0.076762
## [279] train-mlogloss:0.007161+0.000106 test-mlogloss:1.011290+0.076952
## [280] train-mlogloss:0.007145+0.000107 test-mlogloss:1.011699+0.077094
## [281] train-mlogloss:0.007130+0.000107 test-mlogloss:1.011734+0.076949
## [282] train-mlogloss:0.007117+0.000105 test-mlogloss:1.011948+0.077376
## [283] train-mlogloss:0.007102+0.000106 test-mlogloss:1.012152+0.077099
## [284] train-mlogloss:0.007087+0.000106 test-mlogloss:1.012672+0.076948
## [285] train-mlogloss:0.007070+0.000107 test-mlogloss:1.013393+0.077394
## [286] train-mlogloss:0.007055+0.000107 test-mlogloss:1.013627+0.077714
## [287] train-mlogloss:0.007041+0.000107 test-mlogloss:1.014206+0.077433
## [288] train-mlogloss:0.007027+0.000107 test-mlogloss:1.014104+0.077396
## [289] train-mlogloss:0.007012+0.000108 test-mlogloss:1.014630+0.077921
## [290] train-mlogloss:0.006998+0.000106 test-mlogloss:1.015186+0.078015
## [291] train-mlogloss:0.006985+0.000106 test-mlogloss:1.014951+0.077917
## [292] train-mlogloss:0.006970+0.000104 test-mlogloss:1.015321+0.077800
## [293] train-mlogloss:0.006956+0.000104 test-mlogloss:1.016025+0.078090
## [294] train-mlogloss:0.006944+0.000104 test-mlogloss:1.016643+0.078038
## [295] train-mlogloss:0.006929+0.000104 test-mlogloss:1.017005+0.077638
## [296] train-mlogloss:0.006916+0.000104 test-mlogloss:1.017195+0.077796
## [297] train-mlogloss:0.006902+0.000102 test-mlogloss:1.017542+0.077583
## [298] train-mlogloss:0.006889+0.000103 test-mlogloss:1.017416+0.077527
## [299] train-mlogloss:0.006876+0.000103 test-mlogloss:1.017801+0.077315
## [300] train-mlogloss:0.006861+0.000102 test-mlogloss:1.018066+0.077525
## [301] train-mlogloss:0.006847+0.000102 test-mlogloss:1.018146+0.077282
## [302] train-mlogloss:0.006836+0.000101 test-mlogloss:1.018554+0.077242
## [303] train-mlogloss:0.006824+0.000102 test-mlogloss:1.018732+0.077497
## [304] train-mlogloss:0.006811+0.000102 test-mlogloss:1.018731+0.077442
## [305] train-mlogloss:0.006800+0.000102 test-mlogloss:1.019108+0.077662
## [306] train-mlogloss:0.006787+0.000102 test-mlogloss:1.019009+0.077526
## [307] train-mlogloss:0.006775+0.000101 test-mlogloss:1.019724+0.077798
## [308] train-mlogloss:0.006762+0.000101 test-mlogloss:1.019776+0.077667
## [309] train-mlogloss:0.006748+0.000101 test-mlogloss:1.020193+0.077128
## [310] train-mlogloss:0.006736+0.000099 test-mlogloss:1.020517+0.076972
## [311] train-mlogloss:0.006723+0.000100 test-mlogloss:1.020821+0.077053
## [312] train-mlogloss:0.006711+0.000100 test-mlogloss:1.021137+0.077349
## [313] train-mlogloss:0.006699+0.000099 test-mlogloss:1.021789+0.077184
## [314] train-mlogloss:0.006688+0.000099 test-mlogloss:1.022058+0.077030
## [315] train-mlogloss:0.006676+0.000098 test-mlogloss:1.021987+0.076938
## [316] train-mlogloss:0.006663+0.000096 test-mlogloss:1.022615+0.076968
## [317] train-mlogloss:0.006652+0.000097 test-mlogloss:1.023504+0.077325
## [318] train-mlogloss:0.006638+0.000096 test-mlogloss:1.023642+0.077137
## [319] train-mlogloss:0.006625+0.000093 test-mlogloss:1.024011+0.077089
## [320] train-mlogloss:0.006613+0.000093 test-mlogloss:1.024308+0.077200
## [321] train-mlogloss:0.006601+0.000092 test-mlogloss:1.024241+0.077341
## [322] train-mlogloss:0.006588+0.000092 test-mlogloss:1.024652+0.077296
## [323] train-mlogloss:0.006576+0.000091 test-mlogloss:1.024655+0.077644
## [324] train-mlogloss:0.006564+0.000090 test-mlogloss:1.024959+0.077787
## [325] train-mlogloss:0.006550+0.000091 test-mlogloss:1.025195+0.077821
## [326] train-mlogloss:0.006539+0.000090 test-mlogloss:1.025436+0.077610
## [327] train-mlogloss:0.006526+0.000090 test-mlogloss:1.025755+0.077695
## [328] train-mlogloss:0.006515+0.000089 test-mlogloss:1.026041+0.077741
## [329] train-mlogloss:0.006503+0.000091 test-mlogloss:1.025669+0.078023
## [330] train-mlogloss:0.006492+0.000089 test-mlogloss:1.026103+0.077975
## [331] train-mlogloss:0.006481+0.000090 test-mlogloss:1.026191+0.078126
## [332] train-mlogloss:0.006471+0.000090 test-mlogloss:1.026428+0.078070
## [333] train-mlogloss:0.006458+0.000090 test-mlogloss:1.027073+0.077904
## [334] train-mlogloss:0.006446+0.000090 test-mlogloss:1.027352+0.077517
## [335] train-mlogloss:0.006435+0.000089 test-mlogloss:1.027346+0.077343
## [336] train-mlogloss:0.006424+0.000089 test-mlogloss:1.027457+0.077372
## [337] train-mlogloss:0.006411+0.000089 test-mlogloss:1.027616+0.077580
## [338] train-mlogloss:0.006399+0.000089 test-mlogloss:1.027927+0.077776
## [339] train-mlogloss:0.006388+0.000089 test-mlogloss:1.028245+0.077615
## [340] train-mlogloss:0.006377+0.000089 test-mlogloss:1.028564+0.077535
## [341] train-mlogloss:0.006366+0.000088 test-mlogloss:1.028995+0.077375
## [342] train-mlogloss:0.006355+0.000087 test-mlogloss:1.029327+0.077330
## [343] train-mlogloss:0.006345+0.000086 test-mlogloss:1.029450+0.077527
## [344] train-mlogloss:0.006334+0.000084 test-mlogloss:1.029630+0.077252
## [345] train-mlogloss:0.006323+0.000084 test-mlogloss:1.030343+0.077436
## [346] train-mlogloss:0.006314+0.000084 test-mlogloss:1.030492+0.077216
## [347] train-mlogloss:0.006303+0.000085 test-mlogloss:1.030708+0.077641
## [348] train-mlogloss:0.006293+0.000086 test-mlogloss:1.031070+0.077827
## [349] train-mlogloss:0.006283+0.000085 test-mlogloss:1.031133+0.077770
## [350] train-mlogloss:0.006273+0.000086 test-mlogloss:1.031464+0.077888
## [351] train-mlogloss:0.006263+0.000086 test-mlogloss:1.031877+0.077380
## [352] train-mlogloss:0.006253+0.000087 test-mlogloss:1.032368+0.077049
## [353] train-mlogloss:0.006242+0.000085 test-mlogloss:1.032803+0.077385
## [354] train-mlogloss:0.006232+0.000085 test-mlogloss:1.033233+0.077329
## [355] train-mlogloss:0.006222+0.000085 test-mlogloss:1.033461+0.077508
## [356] train-mlogloss:0.006213+0.000085 test-mlogloss:1.033757+0.077428
## [357] train-mlogloss:0.006202+0.000085 test-mlogloss:1.034012+0.077488
## [358] train-mlogloss:0.006192+0.000084 test-mlogloss:1.034124+0.077330
## [359] train-mlogloss:0.006182+0.000083 test-mlogloss:1.034338+0.077790
## [360] train-mlogloss:0.006172+0.000083 test-mlogloss:1.034904+0.077602
## [361] train-mlogloss:0.006163+0.000084 test-mlogloss:1.034826+0.077558
## [362] train-mlogloss:0.006152+0.000084 test-mlogloss:1.035183+0.077524
## [363] train-mlogloss:0.006142+0.000083 test-mlogloss:1.035759+0.077966
## [364] train-mlogloss:0.006133+0.000084 test-mlogloss:1.035958+0.077780
## [365] train-mlogloss:0.006124+0.000084 test-mlogloss:1.036198+0.077623
## [366] train-mlogloss:0.006114+0.000085 test-mlogloss:1.036527+0.077677
## [367] train-mlogloss:0.006104+0.000084 test-mlogloss:1.036950+0.078195
## [368] train-mlogloss:0.006095+0.000084 test-mlogloss:1.037118+0.077748
## [369] train-mlogloss:0.006086+0.000085 test-mlogloss:1.037334+0.077873
## [370] train-mlogloss:0.006077+0.000085 test-mlogloss:1.037769+0.078329
## [371] train-mlogloss:0.006068+0.000086 test-mlogloss:1.038459+0.078318
## [372] train-mlogloss:0.006058+0.000086 test-mlogloss:1.038634+0.078262
## [373] train-mlogloss:0.006048+0.000086 test-mlogloss:1.038438+0.078347
## [374] train-mlogloss:0.006040+0.000085 test-mlogloss:1.038497+0.078420
## [375] train-mlogloss:0.006030+0.000084 test-mlogloss:1.038642+0.078701
## [376] train-mlogloss:0.006021+0.000084 test-mlogloss:1.038615+0.078598
## [377] train-mlogloss:0.006010+0.000085 test-mlogloss:1.039050+0.078229
## [378] train-mlogloss:0.005999+0.000085 test-mlogloss:1.039746+0.078268
## [379] train-mlogloss:0.005991+0.000084 test-mlogloss:1.040139+0.078632
## [380] train-mlogloss:0.005982+0.000086 test-mlogloss:1.040168+0.078434
## [381] train-mlogloss:0.005973+0.000086 test-mlogloss:1.040393+0.078782
## [382] train-mlogloss:0.005963+0.000084 test-mlogloss:1.040960+0.078627
## [383] train-mlogloss:0.005955+0.000083 test-mlogloss:1.041273+0.078742
## [384] train-mlogloss:0.005945+0.000083 test-mlogloss:1.041532+0.078573
## [385] train-mlogloss:0.005937+0.000085 test-mlogloss:1.041679+0.078380
## [386] train-mlogloss:0.005928+0.000083 test-mlogloss:1.041805+0.078101
## [387] train-mlogloss:0.005919+0.000083 test-mlogloss:1.041917+0.078151
## [388] train-mlogloss:0.005911+0.000084 test-mlogloss:1.042333+0.077503
## [389] train-mlogloss:0.005902+0.000083 test-mlogloss:1.042884+0.077546
## [390] train-mlogloss:0.005894+0.000083 test-mlogloss:1.043218+0.077879
## [391] train-mlogloss:0.005886+0.000083 test-mlogloss:1.043178+0.078398
## [392] train-mlogloss:0.005877+0.000081 test-mlogloss:1.043308+0.078459
## [393] train-mlogloss:0.005868+0.000082 test-mlogloss:1.043446+0.078448
## [394] train-mlogloss:0.005860+0.000082 test-mlogloss:1.043442+0.078125
## [395] train-mlogloss:0.005852+0.000082 test-mlogloss:1.043895+0.078175
## [396] train-mlogloss:0.005844+0.000082 test-mlogloss:1.044463+0.078208
## [397] train-mlogloss:0.005835+0.000082 test-mlogloss:1.044526+0.078435
## [398] train-mlogloss:0.005825+0.000082 test-mlogloss:1.044565+0.078571
## [399] train-mlogloss:0.005816+0.000084 test-mlogloss:1.044848+0.078431
## [400] train-mlogloss:0.005808+0.000083 test-mlogloss:1.045027+0.078587
## [401] train-mlogloss:0.005800+0.000083 test-mlogloss:1.045515+0.078862
## [402] train-mlogloss:0.005792+0.000084 test-mlogloss:1.045565+0.078928
## [403] train-mlogloss:0.005784+0.000083 test-mlogloss:1.045962+0.078584
## [404] train-mlogloss:0.005776+0.000083 test-mlogloss:1.046389+0.078302
## [405] train-mlogloss:0.005768+0.000084 test-mlogloss:1.046447+0.077952
## [406] train-mlogloss:0.005760+0.000084 test-mlogloss:1.046739+0.078264
## [407] train-mlogloss:0.005752+0.000084 test-mlogloss:1.047216+0.078587
## [408] train-mlogloss:0.005744+0.000084 test-mlogloss:1.047159+0.078122
## [409] train-mlogloss:0.005737+0.000083 test-mlogloss:1.047405+0.078256
## [410] train-mlogloss:0.005728+0.000084 test-mlogloss:1.047655+0.078255
## [411] train-mlogloss:0.005720+0.000083 test-mlogloss:1.048116+0.078213
## [412] train-mlogloss:0.005712+0.000083 test-mlogloss:1.047961+0.077965
## [413] train-mlogloss:0.005705+0.000084 test-mlogloss:1.048464+0.078045
## [414] train-mlogloss:0.005697+0.000085 test-mlogloss:1.048681+0.078382
## [415] train-mlogloss:0.005688+0.000085 test-mlogloss:1.048714+0.077794
## [416] train-mlogloss:0.005679+0.000085 test-mlogloss:1.049145+0.078029
## [417] train-mlogloss:0.005672+0.000086 test-mlogloss:1.049244+0.077960
## [418] train-mlogloss:0.005665+0.000085 test-mlogloss:1.049437+0.078340
## [419] train-mlogloss:0.005657+0.000084 test-mlogloss:1.049782+0.078544
## [420] train-mlogloss:0.005651+0.000084 test-mlogloss:1.049908+0.078674
## [421] train-mlogloss:0.005643+0.000084 test-mlogloss:1.050470+0.078606
## [422] train-mlogloss:0.005635+0.000084 test-mlogloss:1.050658+0.078594
## [423] train-mlogloss:0.005628+0.000084 test-mlogloss:1.050969+0.078745
## [424] train-mlogloss:0.005620+0.000083 test-mlogloss:1.050885+0.078654
## [425] train-mlogloss:0.005613+0.000083 test-mlogloss:1.051089+0.078789
## [426] train-mlogloss:0.005605+0.000083 test-mlogloss:1.051187+0.078305
## [427] train-mlogloss:0.005598+0.000084 test-mlogloss:1.051327+0.078590
## [428] train-mlogloss:0.005591+0.000084 test-mlogloss:1.051553+0.078597
## [429] train-mlogloss:0.005584+0.000083 test-mlogloss:1.051707+0.077952
## [430] train-mlogloss:0.005576+0.000083 test-mlogloss:1.052091+0.078366
## [431] train-mlogloss:0.005569+0.000082 test-mlogloss:1.052349+0.078101
## [432] train-mlogloss:0.005562+0.000081 test-mlogloss:1.052580+0.078157
## [433] train-mlogloss:0.005555+0.000082 test-mlogloss:1.053045+0.077894
## [434] train-mlogloss:0.005547+0.000082 test-mlogloss:1.053128+0.078045
## [435] train-mlogloss:0.005540+0.000082 test-mlogloss:1.053516+0.078327
## [436] train-mlogloss:0.005533+0.000082 test-mlogloss:1.053449+0.078625
## [437] train-mlogloss:0.005527+0.000082 test-mlogloss:1.053585+0.078784
## [438] train-mlogloss:0.005520+0.000083 test-mlogloss:1.053866+0.078732
## [439] train-mlogloss:0.005514+0.000081 test-mlogloss:1.054163+0.078719
## [440] train-mlogloss:0.005508+0.000081 test-mlogloss:1.054252+0.078823
## [441] train-mlogloss:0.005501+0.000081 test-mlogloss:1.054621+0.078596
## [442] train-mlogloss:0.005494+0.000081 test-mlogloss:1.054853+0.078582
## [443] train-mlogloss:0.005487+0.000081 test-mlogloss:1.055103+0.078513
## [444] train-mlogloss:0.005481+0.000082 test-mlogloss:1.055369+0.078445
## [445] train-mlogloss:0.005476+0.000082 test-mlogloss:1.055563+0.078100
## [446] train-mlogloss:0.005470+0.000082 test-mlogloss:1.055755+0.077713
## [447] train-mlogloss:0.005463+0.000082 test-mlogloss:1.055573+0.077457
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## [450] train-mlogloss:0.005441+0.000082 test-mlogloss:1.056415+0.077503
## [451] train-mlogloss:0.005434+0.000082 test-mlogloss:1.056561+0.077249
## [452] train-mlogloss:0.005427+0.000082 test-mlogloss:1.056881+0.077292
## [453] train-mlogloss:0.005420+0.000082 test-mlogloss:1.057131+0.077509
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## [456] train-mlogloss:0.005400+0.000080 test-mlogloss:1.057879+0.077289
## [457] train-mlogloss:0.005393+0.000081 test-mlogloss:1.058323+0.077066
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## [459] train-mlogloss:0.005380+0.000078 test-mlogloss:1.058272+0.077510
## [460] train-mlogloss:0.005374+0.000078 test-mlogloss:1.058690+0.077488
## [461] train-mlogloss:0.005366+0.000077 test-mlogloss:1.058604+0.077845
## [462] train-mlogloss:0.005360+0.000077 test-mlogloss:1.059150+0.078033
## [463] train-mlogloss:0.005354+0.000076 test-mlogloss:1.059216+0.077899
## [464] train-mlogloss:0.005348+0.000076 test-mlogloss:1.059275+0.077798
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## [471] train-mlogloss:0.005306+0.000077 test-mlogloss:1.060215+0.077682
## [472] train-mlogloss:0.005300+0.000076 test-mlogloss:1.060435+0.077815
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## [477] train-mlogloss:0.005271+0.000076 test-mlogloss:1.061661+0.078044
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## [479] train-mlogloss:0.005259+0.000077 test-mlogloss:1.061931+0.077930
## [480] train-mlogloss:0.005253+0.000078 test-mlogloss:1.062439+0.077716
## [481] train-mlogloss:0.005247+0.000078 test-mlogloss:1.062322+0.077772
## [482] train-mlogloss:0.005241+0.000077 test-mlogloss:1.062612+0.077724
## [483] train-mlogloss:0.005234+0.000077 test-mlogloss:1.062972+0.077703
## [484] train-mlogloss:0.005228+0.000076 test-mlogloss:1.062991+0.077424
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## [486] train-mlogloss:0.005216+0.000077 test-mlogloss:1.063766+0.077757
## [487] train-mlogloss:0.005211+0.000077 test-mlogloss:1.063779+0.077631
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## [490] train-mlogloss:0.005194+0.000077 test-mlogloss:1.064574+0.077855
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## [492] train-mlogloss:0.005183+0.000076 test-mlogloss:1.065261+0.078193
## [493] train-mlogloss:0.005178+0.000076 test-mlogloss:1.065206+0.078152
## [494] train-mlogloss:0.005172+0.000076 test-mlogloss:1.065495+0.078375
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## [497] train-mlogloss:0.005156+0.000076 test-mlogloss:1.065545+0.078484
## [498] train-mlogloss:0.005150+0.000076 test-mlogloss:1.065988+0.078316
## [499] train-mlogloss:0.005145+0.000075 test-mlogloss:1.066072+0.078509
## [500] train-mlogloss:0.005140+0.000075 test-mlogloss:1.066332+0.078520
## [1] train-mlogloss:0.523577+0.001748 test-mlogloss:0.546070+0.007541
## [2] train-mlogloss:0.503193+0.002421 test-mlogloss:0.544135+0.008152
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## [5] train-mlogloss:0.478863+0.002229 test-mlogloss:0.553660+0.008988
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## [7] train-mlogloss:0.464829+0.003319 test-mlogloss:0.561155+0.009592
## [8] train-mlogloss:0.458808+0.002480 test-mlogloss:0.564519+0.008750
## [9] train-mlogloss:0.451322+0.004228 test-mlogloss:0.567746+0.010955
## [10] train-mlogloss:0.444391+0.006056 test-mlogloss:0.570604+0.010893
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## [12] train-mlogloss:0.431701+0.006424 test-mlogloss:0.576653+0.010272
## [13] train-mlogloss:0.426254+0.006150 test-mlogloss:0.579632+0.010329
## [14] train-mlogloss:0.418826+0.006358 test-mlogloss:0.582874+0.009723
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## [19] train-mlogloss:0.387548+0.006948 test-mlogloss:0.596380+0.009646
## [20] train-mlogloss:0.380970+0.005692 test-mlogloss:0.600057+0.010618
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## [22] train-mlogloss:0.367360+0.005645 test-mlogloss:0.605543+0.009088
## [23] train-mlogloss:0.361667+0.006098 test-mlogloss:0.606135+0.009692
## [24] train-mlogloss:0.355906+0.004728 test-mlogloss:0.608137+0.008997
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## [26] train-mlogloss:0.346859+0.006593 test-mlogloss:0.612245+0.011568
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## [28] train-mlogloss:0.336474+0.006888 test-mlogloss:0.617815+0.012425
## [29] train-mlogloss:0.332509+0.008301 test-mlogloss:0.619848+0.013025
## [30] train-mlogloss:0.328427+0.008485 test-mlogloss:0.621831+0.012831
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## [32] train-mlogloss:0.320303+0.009622 test-mlogloss:0.625212+0.012251
## [33] train-mlogloss:0.315560+0.010390 test-mlogloss:0.627195+0.011976
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## [35] train-mlogloss:0.308581+0.010688 test-mlogloss:0.631540+0.010650
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## [38] train-mlogloss:0.294989+0.007076 test-mlogloss:0.640758+0.012351
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## [40] train-mlogloss:0.285809+0.004572 test-mlogloss:0.644618+0.009371
## [41] train-mlogloss:0.282718+0.003746 test-mlogloss:0.646310+0.008339
## [42] train-mlogloss:0.279061+0.005005 test-mlogloss:0.649896+0.007284
## [43] train-mlogloss:0.276325+0.003615 test-mlogloss:0.650519+0.008467
## [44] train-mlogloss:0.272897+0.004089 test-mlogloss:0.653698+0.009121
## [45] train-mlogloss:0.269086+0.003692 test-mlogloss:0.655354+0.010349
## [46] train-mlogloss:0.264667+0.002372 test-mlogloss:0.658132+0.010954
## [47] train-mlogloss:0.260998+0.003019 test-mlogloss:0.661219+0.011337
## [48] train-mlogloss:0.257081+0.002468 test-mlogloss:0.663278+0.010623
## [49] train-mlogloss:0.253225+0.003588 test-mlogloss:0.665942+0.010910
## [50] train-mlogloss:0.248192+0.003824 test-mlogloss:0.667632+0.010627
## [51] train-mlogloss:0.244278+0.003619 test-mlogloss:0.670760+0.010662
## [52] train-mlogloss:0.241216+0.003998 test-mlogloss:0.673300+0.009390
## [53] train-mlogloss:0.238766+0.005056 test-mlogloss:0.675152+0.010812
## [54] train-mlogloss:0.235008+0.005501 test-mlogloss:0.678139+0.010503
## [55] train-mlogloss:0.231491+0.003977 test-mlogloss:0.679767+0.009030
## [56] train-mlogloss:0.228554+0.004250 test-mlogloss:0.680845+0.009786
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## [61] train-mlogloss:0.214250+0.004594 test-mlogloss:0.687501+0.011352
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## [70] train-mlogloss:0.192416+0.004513 test-mlogloss:0.704529+0.010910
## [71] train-mlogloss:0.190314+0.004344 test-mlogloss:0.706603+0.010346
## [72] train-mlogloss:0.188357+0.004693 test-mlogloss:0.707970+0.010071
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## [80] train-mlogloss:0.170041+0.003244 test-mlogloss:0.724382+0.011244
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## [159] train-mlogloss:0.070484+0.001851 test-mlogloss:0.842378+0.012557
## [160] train-mlogloss:0.069885+0.001886 test-mlogloss:0.844202+0.012264
## [161] train-mlogloss:0.069118+0.001678 test-mlogloss:0.844782+0.013640
## [162] train-mlogloss:0.068489+0.001802 test-mlogloss:0.846320+0.013733
## [163] train-mlogloss:0.067754+0.001596 test-mlogloss:0.847740+0.012921
## [164] train-mlogloss:0.067224+0.001682 test-mlogloss:0.848846+0.012467
## [165] train-mlogloss:0.066637+0.001509 test-mlogloss:0.849897+0.011617
## [166] train-mlogloss:0.066085+0.001510 test-mlogloss:0.851801+0.012125
## [167] train-mlogloss:0.065454+0.001387 test-mlogloss:0.854284+0.012961
## [168] train-mlogloss:0.065160+0.001465 test-mlogloss:0.855206+0.013114
## [169] train-mlogloss:0.064343+0.001146 test-mlogloss:0.856873+0.014970
## [170] train-mlogloss:0.064004+0.001007 test-mlogloss:0.857585+0.014669
## [171] train-mlogloss:0.063345+0.000746 test-mlogloss:0.858319+0.015613
## [172] train-mlogloss:0.062803+0.000753 test-mlogloss:0.858956+0.014516
## [173] train-mlogloss:0.062086+0.000828 test-mlogloss:0.860181+0.015380
## [174] train-mlogloss:0.061447+0.000764 test-mlogloss:0.862198+0.015319
## [175] train-mlogloss:0.060816+0.000621 test-mlogloss:0.863950+0.015739
## [176] train-mlogloss:0.060206+0.000840 test-mlogloss:0.865315+0.015705
## [177] train-mlogloss:0.059527+0.000851 test-mlogloss:0.866797+0.015494
## [178] train-mlogloss:0.058997+0.001015 test-mlogloss:0.868859+0.016791
## [179] train-mlogloss:0.058561+0.001001 test-mlogloss:0.870423+0.016787
## [180] train-mlogloss:0.058175+0.001056 test-mlogloss:0.871276+0.016113
## [181] train-mlogloss:0.057688+0.001179 test-mlogloss:0.872630+0.016621
## [182] train-mlogloss:0.057236+0.001198 test-mlogloss:0.873737+0.016507
## [183] train-mlogloss:0.056691+0.001164 test-mlogloss:0.875442+0.015824
## [184] train-mlogloss:0.056188+0.001222 test-mlogloss:0.877222+0.016592
## [185] train-mlogloss:0.055765+0.001371 test-mlogloss:0.877876+0.016383
## [186] train-mlogloss:0.055237+0.001528 test-mlogloss:0.878631+0.017212
## [187] train-mlogloss:0.054853+0.001510 test-mlogloss:0.879673+0.016647
## [188] train-mlogloss:0.054357+0.001488 test-mlogloss:0.880711+0.015917
## [189] train-mlogloss:0.053925+0.001292 test-mlogloss:0.881455+0.016177
## [190] train-mlogloss:0.053590+0.001164 test-mlogloss:0.883209+0.015898
## [191] train-mlogloss:0.053245+0.001219 test-mlogloss:0.884418+0.015950
## [192] train-mlogloss:0.052939+0.001317 test-mlogloss:0.884539+0.015817
## [193] train-mlogloss:0.052302+0.001470 test-mlogloss:0.886199+0.015686
## [194] train-mlogloss:0.051740+0.001400 test-mlogloss:0.886396+0.015287
## [195] train-mlogloss:0.051368+0.001239 test-mlogloss:0.888108+0.016047
## [196] train-mlogloss:0.051008+0.001333 test-mlogloss:0.889050+0.017318
## [197] train-mlogloss:0.050650+0.001339 test-mlogloss:0.889545+0.016629
## [198] train-mlogloss:0.050228+0.001540 test-mlogloss:0.890750+0.016794
## [199] train-mlogloss:0.049989+0.001612 test-mlogloss:0.891146+0.016923
## [200] train-mlogloss:0.049448+0.001596 test-mlogloss:0.892732+0.017399
## [201] train-mlogloss:0.049045+0.001525 test-mlogloss:0.894539+0.017170
## [202] train-mlogloss:0.048746+0.001463 test-mlogloss:0.895591+0.016340
## [203] train-mlogloss:0.048472+0.001423 test-mlogloss:0.895481+0.016891
## [204] train-mlogloss:0.048058+0.001310 test-mlogloss:0.897034+0.016949
## [205] train-mlogloss:0.047533+0.001366 test-mlogloss:0.897685+0.016868
## [206] train-mlogloss:0.047201+0.001321 test-mlogloss:0.898100+0.016620
## [207] train-mlogloss:0.046818+0.001289 test-mlogloss:0.900341+0.016286
## [208] train-mlogloss:0.046527+0.001231 test-mlogloss:0.901126+0.016465
## [209] train-mlogloss:0.046113+0.001376 test-mlogloss:0.901449+0.016465
## [210] train-mlogloss:0.045801+0.001400 test-mlogloss:0.901525+0.016362
## [211] train-mlogloss:0.045524+0.001277 test-mlogloss:0.901998+0.017177
## [212] train-mlogloss:0.045281+0.001294 test-mlogloss:0.902880+0.017270
## [213] train-mlogloss:0.045045+0.001333 test-mlogloss:0.904097+0.017401
## [214] train-mlogloss:0.044725+0.001365 test-mlogloss:0.905272+0.017890
## [215] train-mlogloss:0.044475+0.001280 test-mlogloss:0.906535+0.018324
## [216] train-mlogloss:0.044159+0.001376 test-mlogloss:0.908136+0.018356
## [217] train-mlogloss:0.043735+0.001642 test-mlogloss:0.909519+0.018523
## [218] train-mlogloss:0.043435+0.001561 test-mlogloss:0.910754+0.019010
## [219] train-mlogloss:0.043127+0.001514 test-mlogloss:0.911422+0.018855
## [220] train-mlogloss:0.042787+0.001554 test-mlogloss:0.912772+0.019799
## [221] train-mlogloss:0.042390+0.001574 test-mlogloss:0.914091+0.020050
## [222] train-mlogloss:0.042032+0.001611 test-mlogloss:0.915182+0.020900
## [223] train-mlogloss:0.041717+0.001634 test-mlogloss:0.916125+0.020550
## [224] train-mlogloss:0.041348+0.001632 test-mlogloss:0.917127+0.020271
## [225] train-mlogloss:0.041055+0.001593 test-mlogloss:0.919037+0.020573
## [226] train-mlogloss:0.040753+0.001726 test-mlogloss:0.920804+0.020767
## [227] train-mlogloss:0.040436+0.001616 test-mlogloss:0.921487+0.020616
## [228] train-mlogloss:0.040211+0.001673 test-mlogloss:0.923011+0.019445
## [229] train-mlogloss:0.039954+0.001754 test-mlogloss:0.924213+0.019039
## [230] train-mlogloss:0.039642+0.001809 test-mlogloss:0.925252+0.018810
## [231] train-mlogloss:0.039473+0.001798 test-mlogloss:0.925582+0.018589
## [232] train-mlogloss:0.039131+0.001793 test-mlogloss:0.925947+0.018854
## [233] train-mlogloss:0.038807+0.001893 test-mlogloss:0.927121+0.018057
## [234] train-mlogloss:0.038631+0.001869 test-mlogloss:0.927810+0.018131
## [235] train-mlogloss:0.038359+0.001856 test-mlogloss:0.928923+0.019376
## [236] train-mlogloss:0.038087+0.001881 test-mlogloss:0.929882+0.019764
## [237] train-mlogloss:0.037855+0.001868 test-mlogloss:0.930671+0.019234
## [238] train-mlogloss:0.037668+0.001817 test-mlogloss:0.931512+0.019448
## [239] train-mlogloss:0.037405+0.001810 test-mlogloss:0.931579+0.018833
## [240] train-mlogloss:0.037072+0.001667 test-mlogloss:0.933740+0.018829
## [241] train-mlogloss:0.036783+0.001546 test-mlogloss:0.935783+0.018141
## [242] train-mlogloss:0.036521+0.001493 test-mlogloss:0.937500+0.018213
## [243] train-mlogloss:0.036316+0.001512 test-mlogloss:0.938255+0.018446
## [244] train-mlogloss:0.036148+0.001514 test-mlogloss:0.938969+0.019016
## [245] train-mlogloss:0.035874+0.001499 test-mlogloss:0.941026+0.019732
## [246] train-mlogloss:0.035636+0.001520 test-mlogloss:0.942330+0.019760
## [247] train-mlogloss:0.035409+0.001522 test-mlogloss:0.943548+0.019909
## [248] train-mlogloss:0.035121+0.001534 test-mlogloss:0.944189+0.019432
## [249] train-mlogloss:0.034931+0.001467 test-mlogloss:0.945025+0.019446
## [250] train-mlogloss:0.034704+0.001456 test-mlogloss:0.946300+0.019170
## [251] train-mlogloss:0.034512+0.001473 test-mlogloss:0.946699+0.019076
## [252] train-mlogloss:0.034313+0.001541 test-mlogloss:0.947807+0.019421
## [253] train-mlogloss:0.034086+0.001432 test-mlogloss:0.949309+0.018824
## [254] train-mlogloss:0.033863+0.001394 test-mlogloss:0.949919+0.018792
## [255] train-mlogloss:0.033656+0.001370 test-mlogloss:0.951387+0.017994
## [256] train-mlogloss:0.033479+0.001396 test-mlogloss:0.951939+0.018645
## [257] train-mlogloss:0.033317+0.001380 test-mlogloss:0.952175+0.019295
## [258] train-mlogloss:0.033041+0.001357 test-mlogloss:0.952210+0.020112
## [259] train-mlogloss:0.032841+0.001367 test-mlogloss:0.953015+0.019324
## [260] train-mlogloss:0.032636+0.001332 test-mlogloss:0.954882+0.019822
## [261] train-mlogloss:0.032414+0.001368 test-mlogloss:0.955571+0.019000
## [262] train-mlogloss:0.032155+0.001395 test-mlogloss:0.956842+0.019646
## [263] train-mlogloss:0.031958+0.001397 test-mlogloss:0.957437+0.020054
## [264] train-mlogloss:0.031686+0.001389 test-mlogloss:0.959124+0.020245
## [265] train-mlogloss:0.031479+0.001381 test-mlogloss:0.960500+0.020598
## [266] train-mlogloss:0.031295+0.001375 test-mlogloss:0.962048+0.018939
## [267] train-mlogloss:0.031128+0.001379 test-mlogloss:0.963347+0.018430
## [268] train-mlogloss:0.030987+0.001399 test-mlogloss:0.963527+0.018719
## [269] train-mlogloss:0.030742+0.001410 test-mlogloss:0.964412+0.018721
## [270] train-mlogloss:0.030565+0.001429 test-mlogloss:0.965971+0.017396
## [271] train-mlogloss:0.030413+0.001360 test-mlogloss:0.966317+0.017240
## [272] train-mlogloss:0.030280+0.001345 test-mlogloss:0.967418+0.017057
## [273] train-mlogloss:0.030045+0.001333 test-mlogloss:0.968536+0.017051
## [274] train-mlogloss:0.029809+0.001386 test-mlogloss:0.969962+0.017698
## [275] train-mlogloss:0.029611+0.001374 test-mlogloss:0.971189+0.018911
## [276] train-mlogloss:0.029429+0.001277 test-mlogloss:0.971873+0.019175
## [277] train-mlogloss:0.029315+0.001229 test-mlogloss:0.971602+0.019265
## [278] train-mlogloss:0.029175+0.001213 test-mlogloss:0.972267+0.018905
## [279] train-mlogloss:0.029073+0.001237 test-mlogloss:0.972465+0.019760
## [280] train-mlogloss:0.028902+0.001212 test-mlogloss:0.973367+0.020343
## [281] train-mlogloss:0.028728+0.001147 test-mlogloss:0.974099+0.020629
## [282] train-mlogloss:0.028548+0.001176 test-mlogloss:0.975175+0.020702
## [283] train-mlogloss:0.028401+0.001142 test-mlogloss:0.976850+0.020528
## [284] train-mlogloss:0.028232+0.001136 test-mlogloss:0.976843+0.020608
## [285] train-mlogloss:0.028099+0.001158 test-mlogloss:0.977688+0.019889
## [286] train-mlogloss:0.027886+0.001150 test-mlogloss:0.978636+0.020021
## [287] train-mlogloss:0.027716+0.001146 test-mlogloss:0.978983+0.019788
## [288] train-mlogloss:0.027572+0.001128 test-mlogloss:0.979861+0.019936
## [289] train-mlogloss:0.027379+0.001113 test-mlogloss:0.980303+0.019871
## [290] train-mlogloss:0.027269+0.001134 test-mlogloss:0.981418+0.020274
## [291] train-mlogloss:0.027116+0.001075 test-mlogloss:0.981896+0.020414
## [292] train-mlogloss:0.026975+0.001050 test-mlogloss:0.983208+0.019863
## [293] train-mlogloss:0.026832+0.001021 test-mlogloss:0.983891+0.019292
## [294] train-mlogloss:0.026702+0.001011 test-mlogloss:0.985419+0.019494
## [295] train-mlogloss:0.026586+0.000967 test-mlogloss:0.986273+0.019793
## [296] train-mlogloss:0.026443+0.000928 test-mlogloss:0.986858+0.019467
## [297] train-mlogloss:0.026356+0.000933 test-mlogloss:0.987908+0.019340
## [298] train-mlogloss:0.026231+0.000884 test-mlogloss:0.988909+0.019361
## [299] train-mlogloss:0.026098+0.000901 test-mlogloss:0.989691+0.019014
## [300] train-mlogloss:0.025975+0.000868 test-mlogloss:0.990092+0.018486
## [301] train-mlogloss:0.025813+0.000839 test-mlogloss:0.990957+0.018139
## [302] train-mlogloss:0.025682+0.000835 test-mlogloss:0.991400+0.017804
## [303] train-mlogloss:0.025548+0.000801 test-mlogloss:0.991655+0.017582
## [304] train-mlogloss:0.025431+0.000814 test-mlogloss:0.992937+0.018268
## [305] train-mlogloss:0.025316+0.000809 test-mlogloss:0.993490+0.018421
## [306] train-mlogloss:0.025193+0.000845 test-mlogloss:0.994432+0.018760
## [307] train-mlogloss:0.025105+0.000896 test-mlogloss:0.995051+0.018514
## [308] train-mlogloss:0.024970+0.000887 test-mlogloss:0.995918+0.018471
## [309] train-mlogloss:0.024903+0.000903 test-mlogloss:0.996399+0.018232
## [310] train-mlogloss:0.024795+0.000926 test-mlogloss:0.996866+0.018360
## [311] train-mlogloss:0.024696+0.000873 test-mlogloss:0.997757+0.018320
## [312] train-mlogloss:0.024579+0.000823 test-mlogloss:0.998176+0.018321
## [313] train-mlogloss:0.024455+0.000815 test-mlogloss:0.999103+0.018164
## [314] train-mlogloss:0.024316+0.000805 test-mlogloss:0.999871+0.018295
## [315] train-mlogloss:0.024180+0.000745 test-mlogloss:1.001101+0.018507
## [316] train-mlogloss:0.024054+0.000741 test-mlogloss:1.001765+0.018366
## [317] train-mlogloss:0.023910+0.000695 test-mlogloss:1.002978+0.018368
## [318] train-mlogloss:0.023807+0.000678 test-mlogloss:1.003148+0.017991
## [319] train-mlogloss:0.023712+0.000690 test-mlogloss:1.003939+0.018720
## [320] train-mlogloss:0.023568+0.000702 test-mlogloss:1.004214+0.018274
## [321] train-mlogloss:0.023465+0.000689 test-mlogloss:1.005078+0.018493
## [322] train-mlogloss:0.023310+0.000675 test-mlogloss:1.005960+0.019067
## [323] train-mlogloss:0.023204+0.000657 test-mlogloss:1.006358+0.018870
## [324] train-mlogloss:0.023071+0.000632 test-mlogloss:1.007201+0.018500
## [325] train-mlogloss:0.022942+0.000631 test-mlogloss:1.008181+0.018844
## [326] train-mlogloss:0.022782+0.000648 test-mlogloss:1.008295+0.019476
## [327] train-mlogloss:0.022648+0.000629 test-mlogloss:1.009223+0.019819
## [328] train-mlogloss:0.022536+0.000629 test-mlogloss:1.010393+0.020416
## [329] train-mlogloss:0.022435+0.000618 test-mlogloss:1.010589+0.020029
## [330] train-mlogloss:0.022336+0.000614 test-mlogloss:1.011863+0.020287
## [331] train-mlogloss:0.022189+0.000601 test-mlogloss:1.013771+0.020105
## [332] train-mlogloss:0.022072+0.000573 test-mlogloss:1.014402+0.020271
## [333] train-mlogloss:0.021973+0.000536 test-mlogloss:1.015405+0.019734
## [334] train-mlogloss:0.021872+0.000548 test-mlogloss:1.016025+0.019854
## [335] train-mlogloss:0.021753+0.000553 test-mlogloss:1.015825+0.020084
## [336] train-mlogloss:0.021663+0.000566 test-mlogloss:1.016977+0.019884
## [337] train-mlogloss:0.021570+0.000575 test-mlogloss:1.018356+0.020747
## [338] train-mlogloss:0.021456+0.000555 test-mlogloss:1.018895+0.020368
## [339] train-mlogloss:0.021382+0.000537 test-mlogloss:1.019011+0.020197
## [340] train-mlogloss:0.021276+0.000522 test-mlogloss:1.020009+0.019858
## [341] train-mlogloss:0.021185+0.000502 test-mlogloss:1.021064+0.019634
## [342] train-mlogloss:0.021090+0.000473 test-mlogloss:1.022027+0.019035
## [343] train-mlogloss:0.020994+0.000455 test-mlogloss:1.022995+0.019372
## [344] train-mlogloss:0.020892+0.000466 test-mlogloss:1.023456+0.019190
## [345] train-mlogloss:0.020813+0.000478 test-mlogloss:1.023538+0.018926
## [346] train-mlogloss:0.020746+0.000480 test-mlogloss:1.024063+0.018614
## [347] train-mlogloss:0.020667+0.000503 test-mlogloss:1.024591+0.018573
## [348] train-mlogloss:0.020563+0.000477 test-mlogloss:1.025609+0.018091
## [349] train-mlogloss:0.020453+0.000445 test-mlogloss:1.026468+0.018296
## [350] train-mlogloss:0.020377+0.000429 test-mlogloss:1.027113+0.018563
## [351] train-mlogloss:0.020282+0.000411 test-mlogloss:1.028003+0.018801
## [352] train-mlogloss:0.020209+0.000406 test-mlogloss:1.028584+0.018811
## [353] train-mlogloss:0.020122+0.000386 test-mlogloss:1.029657+0.017864
## [354] train-mlogloss:0.020028+0.000392 test-mlogloss:1.030433+0.017799
## [355] train-mlogloss:0.019947+0.000399 test-mlogloss:1.031315+0.017810
## [356] train-mlogloss:0.019835+0.000424 test-mlogloss:1.032549+0.017493
## [357] train-mlogloss:0.019751+0.000428 test-mlogloss:1.033243+0.017498
## [358] train-mlogloss:0.019695+0.000429 test-mlogloss:1.033929+0.017480
## [359] train-mlogloss:0.019620+0.000435 test-mlogloss:1.034563+0.017453
## [360] train-mlogloss:0.019566+0.000448 test-mlogloss:1.034755+0.017202
## [361] train-mlogloss:0.019502+0.000435 test-mlogloss:1.035267+0.017315
## [362] train-mlogloss:0.019438+0.000445 test-mlogloss:1.035655+0.016866
## [363] train-mlogloss:0.019372+0.000456 test-mlogloss:1.035543+0.016995
## [364] train-mlogloss:0.019247+0.000428 test-mlogloss:1.036446+0.017369
## [365] train-mlogloss:0.019161+0.000419 test-mlogloss:1.037661+0.017357
## [366] train-mlogloss:0.019098+0.000407 test-mlogloss:1.038422+0.016739
## [367] train-mlogloss:0.019012+0.000382 test-mlogloss:1.038817+0.016928
## [368] train-mlogloss:0.018923+0.000381 test-mlogloss:1.039882+0.017107
## [369] train-mlogloss:0.018802+0.000376 test-mlogloss:1.041131+0.017716
## [370] train-mlogloss:0.018748+0.000364 test-mlogloss:1.041871+0.017576
## [371] train-mlogloss:0.018682+0.000371 test-mlogloss:1.041881+0.017741
## [372] train-mlogloss:0.018605+0.000383 test-mlogloss:1.042160+0.017682
## [373] train-mlogloss:0.018540+0.000409 test-mlogloss:1.042953+0.018189
## [374] train-mlogloss:0.018459+0.000430 test-mlogloss:1.043634+0.018783
## [375] train-mlogloss:0.018397+0.000437 test-mlogloss:1.044150+0.018571
## [376] train-mlogloss:0.018309+0.000421 test-mlogloss:1.044444+0.018664
## [377] train-mlogloss:0.018234+0.000427 test-mlogloss:1.045374+0.018643
## [378] train-mlogloss:0.018153+0.000427 test-mlogloss:1.046445+0.019074
## [379] train-mlogloss:0.018070+0.000417 test-mlogloss:1.046669+0.019004
## [380] train-mlogloss:0.018002+0.000414 test-mlogloss:1.046812+0.018620
## [381] train-mlogloss:0.017925+0.000384 test-mlogloss:1.047141+0.018349
## [382] train-mlogloss:0.017850+0.000412 test-mlogloss:1.047235+0.018303
## [383] train-mlogloss:0.017775+0.000430 test-mlogloss:1.048276+0.018696
## [384] train-mlogloss:0.017701+0.000465 test-mlogloss:1.049362+0.019280
## [385] train-mlogloss:0.017614+0.000441 test-mlogloss:1.050631+0.019466
## [386] train-mlogloss:0.017529+0.000441 test-mlogloss:1.051541+0.019776
## [387] train-mlogloss:0.017469+0.000465 test-mlogloss:1.051855+0.019983
## [388] train-mlogloss:0.017408+0.000499 test-mlogloss:1.052450+0.020786
## [389] train-mlogloss:0.017358+0.000495 test-mlogloss:1.053323+0.020433
## [390] train-mlogloss:0.017295+0.000518 test-mlogloss:1.053231+0.020400
## [391] train-mlogloss:0.017227+0.000511 test-mlogloss:1.053303+0.020391
## [392] train-mlogloss:0.017184+0.000514 test-mlogloss:1.053294+0.020340
## [393] train-mlogloss:0.017129+0.000517 test-mlogloss:1.053157+0.020415
## [394] train-mlogloss:0.017038+0.000528 test-mlogloss:1.054257+0.020579
## [395] train-mlogloss:0.016976+0.000512 test-mlogloss:1.054478+0.019999
## [396] train-mlogloss:0.016932+0.000507 test-mlogloss:1.055329+0.020266
## [397] train-mlogloss:0.016864+0.000495 test-mlogloss:1.056142+0.020733
## [398] train-mlogloss:0.016790+0.000489 test-mlogloss:1.057235+0.021054
## [399] train-mlogloss:0.016720+0.000518 test-mlogloss:1.057438+0.020813
## [400] train-mlogloss:0.016670+0.000527 test-mlogloss:1.057565+0.021310
## [401] train-mlogloss:0.016610+0.000514 test-mlogloss:1.058571+0.021436
## [402] train-mlogloss:0.016556+0.000506 test-mlogloss:1.059188+0.021552
## [403] train-mlogloss:0.016497+0.000474 test-mlogloss:1.058816+0.021695
## [404] train-mlogloss:0.016449+0.000462 test-mlogloss:1.059354+0.021775
## [405] train-mlogloss:0.016408+0.000454 test-mlogloss:1.059965+0.021862
## [406] train-mlogloss:0.016361+0.000422 test-mlogloss:1.061000+0.021462
## [407] train-mlogloss:0.016312+0.000424 test-mlogloss:1.061340+0.021708
## [408] train-mlogloss:0.016247+0.000420 test-mlogloss:1.061746+0.021922
## [409] train-mlogloss:0.016208+0.000403 test-mlogloss:1.062619+0.021762
## [410] train-mlogloss:0.016166+0.000420 test-mlogloss:1.062655+0.021726
## [411] train-mlogloss:0.016095+0.000444 test-mlogloss:1.062879+0.022223
## [412] train-mlogloss:0.016016+0.000470 test-mlogloss:1.064113+0.022076
## [413] train-mlogloss:0.015967+0.000484 test-mlogloss:1.064385+0.022414
## [414] train-mlogloss:0.015888+0.000510 test-mlogloss:1.065297+0.022459
## [415] train-mlogloss:0.015834+0.000523 test-mlogloss:1.066608+0.022506
## [416] train-mlogloss:0.015797+0.000539 test-mlogloss:1.066617+0.022692
## [417] train-mlogloss:0.015749+0.000550 test-mlogloss:1.067184+0.022268
## [418] train-mlogloss:0.015696+0.000541 test-mlogloss:1.067818+0.022040
## [419] train-mlogloss:0.015669+0.000539 test-mlogloss:1.068267+0.022254
## [420] train-mlogloss:0.015637+0.000525 test-mlogloss:1.068376+0.022058
## [421] train-mlogloss:0.015579+0.000491 test-mlogloss:1.068944+0.022000
## [422] train-mlogloss:0.015525+0.000475 test-mlogloss:1.070007+0.021931
## [423] train-mlogloss:0.015461+0.000480 test-mlogloss:1.071016+0.022417
## [424] train-mlogloss:0.015414+0.000485 test-mlogloss:1.072101+0.022929
## [425] train-mlogloss:0.015373+0.000492 test-mlogloss:1.072443+0.023001
## [426] train-mlogloss:0.015327+0.000479 test-mlogloss:1.072437+0.023178
## [427] train-mlogloss:0.015298+0.000478 test-mlogloss:1.072235+0.023427
## [428] train-mlogloss:0.015251+0.000458 test-mlogloss:1.072817+0.022716
## [429] train-mlogloss:0.015210+0.000459 test-mlogloss:1.074048+0.023160
## [430] train-mlogloss:0.015156+0.000463 test-mlogloss:1.074495+0.023288
## [431] train-mlogloss:0.015123+0.000455 test-mlogloss:1.075079+0.023482
## [432] train-mlogloss:0.015071+0.000440 test-mlogloss:1.076022+0.023046
## [433] train-mlogloss:0.014994+0.000428 test-mlogloss:1.076627+0.023042
## [434] train-mlogloss:0.014917+0.000422 test-mlogloss:1.077458+0.023175
## [435] train-mlogloss:0.014865+0.000406 test-mlogloss:1.077911+0.023665
## [436] train-mlogloss:0.014816+0.000401 test-mlogloss:1.078767+0.022985
## [437] train-mlogloss:0.014744+0.000390 test-mlogloss:1.079304+0.022693
## [438] train-mlogloss:0.014694+0.000372 test-mlogloss:1.080124+0.022148
## [439] train-mlogloss:0.014639+0.000381 test-mlogloss:1.080465+0.022311
## [440] train-mlogloss:0.014594+0.000390 test-mlogloss:1.080690+0.022663
## [441] train-mlogloss:0.014528+0.000413 test-mlogloss:1.081412+0.022461
## [442] train-mlogloss:0.014479+0.000413 test-mlogloss:1.081472+0.022707
## [443] train-mlogloss:0.014435+0.000406 test-mlogloss:1.081750+0.022892
## [444] train-mlogloss:0.014370+0.000399 test-mlogloss:1.082585+0.022517
## [445] train-mlogloss:0.014323+0.000388 test-mlogloss:1.082344+0.022714
## [446] train-mlogloss:0.014275+0.000374 test-mlogloss:1.083157+0.022317
## [447] train-mlogloss:0.014217+0.000383 test-mlogloss:1.083463+0.022212
## [448] train-mlogloss:0.014168+0.000387 test-mlogloss:1.084016+0.022758
## [449] train-mlogloss:0.014135+0.000378 test-mlogloss:1.084114+0.022418
## [450] train-mlogloss:0.014075+0.000389 test-mlogloss:1.084652+0.022660
## [451] train-mlogloss:0.014029+0.000396 test-mlogloss:1.084948+0.022823
## [452] train-mlogloss:0.013978+0.000400 test-mlogloss:1.086236+0.022400
## [453] train-mlogloss:0.013923+0.000411 test-mlogloss:1.087249+0.022452
## [454] train-mlogloss:0.013872+0.000427 test-mlogloss:1.087598+0.022666
## [455] train-mlogloss:0.013818+0.000433 test-mlogloss:1.088449+0.022688
## [456] train-mlogloss:0.013775+0.000419 test-mlogloss:1.089347+0.022655
## [457] train-mlogloss:0.013729+0.000409 test-mlogloss:1.089455+0.022728
## [458] train-mlogloss:0.013679+0.000395 test-mlogloss:1.089846+0.021852
## [459] train-mlogloss:0.013637+0.000387 test-mlogloss:1.090289+0.021738
## [460] train-mlogloss:0.013597+0.000403 test-mlogloss:1.090212+0.021672
## [461] train-mlogloss:0.013564+0.000394 test-mlogloss:1.091218+0.021735
## [462] train-mlogloss:0.013508+0.000387 test-mlogloss:1.091494+0.021894
## [463] train-mlogloss:0.013469+0.000383 test-mlogloss:1.091599+0.021517
## [464] train-mlogloss:0.013413+0.000373 test-mlogloss:1.092029+0.021754
## [465] train-mlogloss:0.013376+0.000372 test-mlogloss:1.092689+0.022681
## [466] train-mlogloss:0.013328+0.000361 test-mlogloss:1.093224+0.021926
## [467] train-mlogloss:0.013285+0.000355 test-mlogloss:1.094134+0.022102
## [468] train-mlogloss:0.013224+0.000360 test-mlogloss:1.095236+0.021156
## [469] train-mlogloss:0.013166+0.000356 test-mlogloss:1.096043+0.021293
## [470] train-mlogloss:0.013127+0.000340 test-mlogloss:1.096155+0.021227
## [471] train-mlogloss:0.013083+0.000334 test-mlogloss:1.096979+0.020961
## [472] train-mlogloss:0.013052+0.000330 test-mlogloss:1.097788+0.020578
## [473] train-mlogloss:0.013023+0.000326 test-mlogloss:1.097723+0.020147
## [474] train-mlogloss:0.012966+0.000299 test-mlogloss:1.098163+0.019943
## [475] train-mlogloss:0.012934+0.000294 test-mlogloss:1.098711+0.019903
## [476] train-mlogloss:0.012909+0.000297 test-mlogloss:1.098860+0.019734
## [477] train-mlogloss:0.012880+0.000312 test-mlogloss:1.099528+0.020104
## [478] train-mlogloss:0.012849+0.000312 test-mlogloss:1.099823+0.020051
## [479] train-mlogloss:0.012807+0.000294 test-mlogloss:1.100804+0.020200
## [480] train-mlogloss:0.012763+0.000282 test-mlogloss:1.101838+0.019767
## [481] train-mlogloss:0.012724+0.000277 test-mlogloss:1.101799+0.020050
## [482] train-mlogloss:0.012682+0.000266 test-mlogloss:1.102480+0.020040
## [483] train-mlogloss:0.012638+0.000261 test-mlogloss:1.102757+0.019836
## [484] train-mlogloss:0.012593+0.000242 test-mlogloss:1.103542+0.019913
## [485] train-mlogloss:0.012559+0.000234 test-mlogloss:1.103493+0.020398
## [486] train-mlogloss:0.012535+0.000226 test-mlogloss:1.103488+0.020257
## [487] train-mlogloss:0.012507+0.000216 test-mlogloss:1.104410+0.020159
## [488] train-mlogloss:0.012474+0.000217 test-mlogloss:1.104753+0.020176
## [489] train-mlogloss:0.012438+0.000207 test-mlogloss:1.105460+0.020164
## [490] train-mlogloss:0.012405+0.000199 test-mlogloss:1.105697+0.020047
## [491] train-mlogloss:0.012354+0.000191 test-mlogloss:1.106135+0.020171
## [492] train-mlogloss:0.012324+0.000180 test-mlogloss:1.106638+0.019678
## [493] train-mlogloss:0.012295+0.000183 test-mlogloss:1.106826+0.020033
## [494] train-mlogloss:0.012268+0.000175 test-mlogloss:1.107497+0.020160
## [495] train-mlogloss:0.012238+0.000170 test-mlogloss:1.107547+0.020296
## [496] train-mlogloss:0.012206+0.000171 test-mlogloss:1.108083+0.020244
## [497] train-mlogloss:0.012169+0.000169 test-mlogloss:1.108021+0.019675
## [498] train-mlogloss:0.012145+0.000171 test-mlogloss:1.108585+0.019903
## [499] train-mlogloss:0.012115+0.000178 test-mlogloss:1.109191+0.019997
## [500] train-mlogloss:0.012088+0.000187 test-mlogloss:1.109685+0.020166
## [1] train-mlogloss:0.404866+0.004492 test-mlogloss:0.583794+0.009464
## [2] train-mlogloss:0.304794+0.008530 test-mlogloss:0.605976+0.014191
## [3] train-mlogloss:0.244029+0.010603 test-mlogloss:0.626946+0.014176
## [4] train-mlogloss:0.201137+0.008008 test-mlogloss:0.649098+0.020567
## [5] train-mlogloss:0.172706+0.006079 test-mlogloss:0.667056+0.020022
## [6] train-mlogloss:0.150140+0.003804 test-mlogloss:0.681537+0.022530
## [7] train-mlogloss:0.131336+0.004736 test-mlogloss:0.694946+0.021963
## [8] train-mlogloss:0.118703+0.004517 test-mlogloss:0.706128+0.020331
## [9] train-mlogloss:0.106275+0.004640 test-mlogloss:0.716788+0.022209
## [10] train-mlogloss:0.096198+0.003850 test-mlogloss:0.727799+0.024257
## [11] train-mlogloss:0.088776+0.003756 test-mlogloss:0.736219+0.022844
## [12] train-mlogloss:0.081133+0.003474 test-mlogloss:0.743584+0.025127
## [13] train-mlogloss:0.075297+0.003118 test-mlogloss:0.749787+0.025116
## [14] train-mlogloss:0.070246+0.001975 test-mlogloss:0.755328+0.025790
## [15] train-mlogloss:0.065644+0.002179 test-mlogloss:0.761884+0.025826
## [16] train-mlogloss:0.061386+0.001975 test-mlogloss:0.767408+0.025975
## [17] train-mlogloss:0.057746+0.001630 test-mlogloss:0.775250+0.025933
## [18] train-mlogloss:0.054657+0.001449 test-mlogloss:0.779714+0.026169
## [19] train-mlogloss:0.051792+0.001488 test-mlogloss:0.786374+0.026097
## [20] train-mlogloss:0.049000+0.001271 test-mlogloss:0.791174+0.024995
## [21] train-mlogloss:0.046918+0.001342 test-mlogloss:0.798626+0.023786
## [22] train-mlogloss:0.044716+0.001269 test-mlogloss:0.804052+0.024226
## [23] train-mlogloss:0.042790+0.001115 test-mlogloss:0.809073+0.025187
## [24] train-mlogloss:0.040907+0.001032 test-mlogloss:0.814382+0.025469
## [25] train-mlogloss:0.039065+0.000930 test-mlogloss:0.821022+0.028728
## [26] train-mlogloss:0.037666+0.000883 test-mlogloss:0.825675+0.030835
## [27] train-mlogloss:0.036492+0.000904 test-mlogloss:0.829421+0.030911
## [28] train-mlogloss:0.035067+0.000810 test-mlogloss:0.833261+0.029540
## [29] train-mlogloss:0.033949+0.000751 test-mlogloss:0.836545+0.031333
## [30] train-mlogloss:0.032776+0.000662 test-mlogloss:0.840910+0.032041
## [31] train-mlogloss:0.031767+0.000537 test-mlogloss:0.845106+0.033275
## [32] train-mlogloss:0.030866+0.000480 test-mlogloss:0.849636+0.033073
## [33] train-mlogloss:0.029998+0.000402 test-mlogloss:0.852075+0.035846
## [34] train-mlogloss:0.029138+0.000351 test-mlogloss:0.856718+0.035444
## [35] train-mlogloss:0.028400+0.000319 test-mlogloss:0.861109+0.035524
## [36] train-mlogloss:0.027674+0.000276 test-mlogloss:0.864346+0.036187
## [37] train-mlogloss:0.027001+0.000171 test-mlogloss:0.868679+0.035780
## [38] train-mlogloss:0.026315+0.000170 test-mlogloss:0.872675+0.037181
## [39] train-mlogloss:0.025698+0.000160 test-mlogloss:0.876112+0.037349
## [40] train-mlogloss:0.025077+0.000135 test-mlogloss:0.878173+0.037498
## [41] train-mlogloss:0.024517+0.000144 test-mlogloss:0.879935+0.037193
## [42] train-mlogloss:0.024020+0.000118 test-mlogloss:0.883066+0.037933
## [43] train-mlogloss:0.023535+0.000108 test-mlogloss:0.886351+0.038858
## [44] train-mlogloss:0.023062+0.000086 test-mlogloss:0.889698+0.038704
## [45] train-mlogloss:0.022606+0.000085 test-mlogloss:0.892673+0.036829
## [46] train-mlogloss:0.022149+0.000084 test-mlogloss:0.895400+0.036976
## [47] train-mlogloss:0.021722+0.000081 test-mlogloss:0.897633+0.037631
## [48] train-mlogloss:0.021341+0.000083 test-mlogloss:0.900118+0.037047
## [49] train-mlogloss:0.020952+0.000087 test-mlogloss:0.902963+0.036948
## [50] train-mlogloss:0.020558+0.000087 test-mlogloss:0.904698+0.035524
## [51] train-mlogloss:0.020208+0.000097 test-mlogloss:0.906832+0.036771
## [52] train-mlogloss:0.019899+0.000095 test-mlogloss:0.908565+0.037632
## [53] train-mlogloss:0.019565+0.000104 test-mlogloss:0.911770+0.038577
## [54] train-mlogloss:0.019256+0.000086 test-mlogloss:0.914514+0.039182
## [55] train-mlogloss:0.018965+0.000071 test-mlogloss:0.917517+0.039177
## [56] train-mlogloss:0.018671+0.000072 test-mlogloss:0.919555+0.040453
## [57] train-mlogloss:0.018390+0.000078 test-mlogloss:0.921621+0.041118
## [58] train-mlogloss:0.018132+0.000072 test-mlogloss:0.923229+0.039954
## [59] train-mlogloss:0.017878+0.000092 test-mlogloss:0.925268+0.039427
## [60] train-mlogloss:0.017619+0.000086 test-mlogloss:0.927820+0.039274
## [61] train-mlogloss:0.017389+0.000092 test-mlogloss:0.928950+0.038947
## [62] train-mlogloss:0.017148+0.000080 test-mlogloss:0.931735+0.039631
## [63] train-mlogloss:0.016938+0.000081 test-mlogloss:0.932746+0.039096
## [64] train-mlogloss:0.016722+0.000094 test-mlogloss:0.934669+0.040810
## [65] train-mlogloss:0.016509+0.000101 test-mlogloss:0.937176+0.039977
## [66] train-mlogloss:0.016308+0.000105 test-mlogloss:0.938563+0.040068
## [67] train-mlogloss:0.016150+0.000112 test-mlogloss:0.940681+0.040245
## [68] train-mlogloss:0.015960+0.000103 test-mlogloss:0.942650+0.042015
## [69] train-mlogloss:0.015764+0.000113 test-mlogloss:0.943922+0.041550
## [70] train-mlogloss:0.015589+0.000113 test-mlogloss:0.945458+0.041916
## [71] train-mlogloss:0.015412+0.000107 test-mlogloss:0.946781+0.042919
## [72] train-mlogloss:0.015250+0.000105 test-mlogloss:0.948529+0.043000
## [73] train-mlogloss:0.015089+0.000106 test-mlogloss:0.949576+0.042312
## [74] train-mlogloss:0.014925+0.000107 test-mlogloss:0.951719+0.042479
## [75] train-mlogloss:0.014764+0.000099 test-mlogloss:0.952756+0.042254
## [76] train-mlogloss:0.014610+0.000105 test-mlogloss:0.954481+0.042769
## [77] train-mlogloss:0.014448+0.000109 test-mlogloss:0.954862+0.042923
## [78] train-mlogloss:0.014314+0.000111 test-mlogloss:0.956446+0.043347
## [79] train-mlogloss:0.014174+0.000121 test-mlogloss:0.958127+0.044665
## [80] train-mlogloss:0.014029+0.000105 test-mlogloss:0.959179+0.044612
## [81] train-mlogloss:0.013885+0.000112 test-mlogloss:0.961134+0.043865
## [82] train-mlogloss:0.013762+0.000110 test-mlogloss:0.961853+0.043957
## [83] train-mlogloss:0.013644+0.000112 test-mlogloss:0.963013+0.043259
## [84] train-mlogloss:0.013516+0.000118 test-mlogloss:0.964136+0.043694
## [85] train-mlogloss:0.013397+0.000116 test-mlogloss:0.966242+0.044465
## [86] train-mlogloss:0.013278+0.000119 test-mlogloss:0.967266+0.044216
## [87] train-mlogloss:0.013157+0.000121 test-mlogloss:0.968164+0.044129
## [88] train-mlogloss:0.013055+0.000119 test-mlogloss:0.969797+0.043898
## [89] train-mlogloss:0.012955+0.000125 test-mlogloss:0.971045+0.044166
## [90] train-mlogloss:0.012834+0.000136 test-mlogloss:0.972755+0.044212
## [91] train-mlogloss:0.012744+0.000134 test-mlogloss:0.973277+0.044612
## [92] train-mlogloss:0.012642+0.000136 test-mlogloss:0.974191+0.045707
## [93] train-mlogloss:0.012539+0.000129 test-mlogloss:0.976315+0.045472
## [94] train-mlogloss:0.012432+0.000129 test-mlogloss:0.977728+0.045891
## [95] train-mlogloss:0.012334+0.000114 test-mlogloss:0.978116+0.045812
## [96] train-mlogloss:0.012228+0.000118 test-mlogloss:0.979369+0.046240
## [97] train-mlogloss:0.012129+0.000112 test-mlogloss:0.979813+0.046832
## [98] train-mlogloss:0.012040+0.000108 test-mlogloss:0.980111+0.046169
## [99] train-mlogloss:0.011952+0.000107 test-mlogloss:0.981707+0.046207
## [100] train-mlogloss:0.011870+0.000115 test-mlogloss:0.983016+0.046005
## [101] train-mlogloss:0.011783+0.000119 test-mlogloss:0.984019+0.047633
## [102] train-mlogloss:0.011706+0.000119 test-mlogloss:0.985185+0.048000
## [103] train-mlogloss:0.011627+0.000112 test-mlogloss:0.985918+0.047798
## [104] train-mlogloss:0.011549+0.000104 test-mlogloss:0.987248+0.048704
## [105] train-mlogloss:0.011477+0.000102 test-mlogloss:0.988012+0.047944
## [106] train-mlogloss:0.011398+0.000096 test-mlogloss:0.988971+0.047934
## [107] train-mlogloss:0.011329+0.000100 test-mlogloss:0.989612+0.048091
## [108] train-mlogloss:0.011259+0.000101 test-mlogloss:0.989802+0.048385
## [109] train-mlogloss:0.011193+0.000109 test-mlogloss:0.990901+0.048279
## [110] train-mlogloss:0.011114+0.000106 test-mlogloss:0.992615+0.048121
## [111] train-mlogloss:0.011047+0.000099 test-mlogloss:0.994045+0.048596
## [112] train-mlogloss:0.010978+0.000100 test-mlogloss:0.994949+0.048168
## [113] train-mlogloss:0.010914+0.000104 test-mlogloss:0.995916+0.048064
## [114] train-mlogloss:0.010841+0.000100 test-mlogloss:0.996799+0.048182
## [115] train-mlogloss:0.010782+0.000095 test-mlogloss:0.997955+0.048450
## [116] train-mlogloss:0.010712+0.000094 test-mlogloss:0.998800+0.048502
## [117] train-mlogloss:0.010645+0.000095 test-mlogloss:0.999987+0.049079
## [118] train-mlogloss:0.010582+0.000096 test-mlogloss:1.000746+0.048635
## [119] train-mlogloss:0.010521+0.000103 test-mlogloss:1.001683+0.049094
## [120] train-mlogloss:0.010458+0.000102 test-mlogloss:1.002153+0.048875
## [121] train-mlogloss:0.010397+0.000106 test-mlogloss:1.002859+0.049190
## [122] train-mlogloss:0.010344+0.000098 test-mlogloss:1.004271+0.049038
## [123] train-mlogloss:0.010281+0.000104 test-mlogloss:1.004925+0.049153
## [124] train-mlogloss:0.010228+0.000102 test-mlogloss:1.005483+0.049273
## [125] train-mlogloss:0.010171+0.000101 test-mlogloss:1.006658+0.048646
## [126] train-mlogloss:0.010115+0.000101 test-mlogloss:1.007848+0.048931
## [127] train-mlogloss:0.010060+0.000105 test-mlogloss:1.009418+0.048921
## [128] train-mlogloss:0.010005+0.000106 test-mlogloss:1.011019+0.048929
## [129] train-mlogloss:0.009955+0.000108 test-mlogloss:1.011166+0.049084
## [130] train-mlogloss:0.009900+0.000100 test-mlogloss:1.012031+0.049870
## [131] train-mlogloss:0.009852+0.000096 test-mlogloss:1.012543+0.050029
## [132] train-mlogloss:0.009799+0.000097 test-mlogloss:1.013788+0.049368
## [133] train-mlogloss:0.009752+0.000104 test-mlogloss:1.015305+0.049649
## [134] train-mlogloss:0.009701+0.000100 test-mlogloss:1.014362+0.049609
## [135] train-mlogloss:0.009646+0.000102 test-mlogloss:1.015563+0.049606
## [136] train-mlogloss:0.009597+0.000100 test-mlogloss:1.016774+0.050155
## [137] train-mlogloss:0.009544+0.000099 test-mlogloss:1.019144+0.051271
## [138] train-mlogloss:0.009497+0.000096 test-mlogloss:1.019861+0.050619
## [139] train-mlogloss:0.009452+0.000096 test-mlogloss:1.020003+0.050314
## [140] train-mlogloss:0.009409+0.000096 test-mlogloss:1.021121+0.050336
## [141] train-mlogloss:0.009365+0.000095 test-mlogloss:1.021721+0.050551
## [142] train-mlogloss:0.009321+0.000094 test-mlogloss:1.022287+0.049856
## [143] train-mlogloss:0.009282+0.000096 test-mlogloss:1.022199+0.050266
## [144] train-mlogloss:0.009243+0.000098 test-mlogloss:1.022816+0.049914
## [145] train-mlogloss:0.009200+0.000098 test-mlogloss:1.023426+0.050341
## [146] train-mlogloss:0.009158+0.000098 test-mlogloss:1.023562+0.050704
## [147] train-mlogloss:0.009114+0.000099 test-mlogloss:1.024264+0.050721
## [148] train-mlogloss:0.009073+0.000095 test-mlogloss:1.024842+0.050729
## [149] train-mlogloss:0.009032+0.000091 test-mlogloss:1.024919+0.050950
## [150] train-mlogloss:0.008991+0.000092 test-mlogloss:1.025930+0.051157
## [151] train-mlogloss:0.008953+0.000092 test-mlogloss:1.026054+0.051078
## [152] train-mlogloss:0.008914+0.000095 test-mlogloss:1.027431+0.051122
## [153] train-mlogloss:0.008876+0.000094 test-mlogloss:1.027957+0.050469
## [154] train-mlogloss:0.008837+0.000094 test-mlogloss:1.029055+0.051002
## [155] train-mlogloss:0.008801+0.000094 test-mlogloss:1.029176+0.050570
## [156] train-mlogloss:0.008763+0.000091 test-mlogloss:1.030367+0.051258
## [157] train-mlogloss:0.008728+0.000092 test-mlogloss:1.031711+0.050803
## [158] train-mlogloss:0.008694+0.000092 test-mlogloss:1.032327+0.050766
## [159] train-mlogloss:0.008655+0.000093 test-mlogloss:1.033203+0.050976
## [160] train-mlogloss:0.008624+0.000089 test-mlogloss:1.032887+0.051036
## [161] train-mlogloss:0.008589+0.000086 test-mlogloss:1.033303+0.051138
## [162] train-mlogloss:0.008557+0.000089 test-mlogloss:1.033896+0.051641
## [163] train-mlogloss:0.008523+0.000084 test-mlogloss:1.034215+0.052464
## [164] train-mlogloss:0.008488+0.000082 test-mlogloss:1.034961+0.052350
## [165] train-mlogloss:0.008449+0.000082 test-mlogloss:1.035745+0.052523
## [166] train-mlogloss:0.008420+0.000082 test-mlogloss:1.036860+0.052456
## [167] train-mlogloss:0.008390+0.000081 test-mlogloss:1.037498+0.052950
## [168] train-mlogloss:0.008358+0.000080 test-mlogloss:1.038034+0.051885
## [169] train-mlogloss:0.008326+0.000080 test-mlogloss:1.038831+0.051837
## [170] train-mlogloss:0.008297+0.000078 test-mlogloss:1.039704+0.052507
## [171] train-mlogloss:0.008269+0.000078 test-mlogloss:1.040789+0.052328
## [172] train-mlogloss:0.008239+0.000080 test-mlogloss:1.041894+0.052254
## [173] train-mlogloss:0.008213+0.000079 test-mlogloss:1.042686+0.052279
## [174] train-mlogloss:0.008183+0.000077 test-mlogloss:1.043448+0.051635
## [175] train-mlogloss:0.008150+0.000075 test-mlogloss:1.044082+0.051845
## [176] train-mlogloss:0.008122+0.000071 test-mlogloss:1.044965+0.052022
## [177] train-mlogloss:0.008094+0.000072 test-mlogloss:1.045193+0.052130
## [178] train-mlogloss:0.008066+0.000070 test-mlogloss:1.045872+0.052765
## [179] train-mlogloss:0.008036+0.000069 test-mlogloss:1.046534+0.052776
## [180] train-mlogloss:0.008011+0.000066 test-mlogloss:1.047492+0.053780
## [181] train-mlogloss:0.007985+0.000069 test-mlogloss:1.048249+0.053248
## [182] train-mlogloss:0.007955+0.000072 test-mlogloss:1.049892+0.053151
## [183] train-mlogloss:0.007924+0.000073 test-mlogloss:1.050561+0.053130
## [184] train-mlogloss:0.007897+0.000075 test-mlogloss:1.050694+0.053573
## [185] train-mlogloss:0.007868+0.000075 test-mlogloss:1.051247+0.054126
## [186] train-mlogloss:0.007842+0.000075 test-mlogloss:1.051309+0.053912
## [187] train-mlogloss:0.007816+0.000076 test-mlogloss:1.051815+0.054387
## [188] train-mlogloss:0.007791+0.000076 test-mlogloss:1.052791+0.054979
## [189] train-mlogloss:0.007766+0.000076 test-mlogloss:1.053110+0.054064
## [190] train-mlogloss:0.007741+0.000075 test-mlogloss:1.053777+0.053793
## [191] train-mlogloss:0.007714+0.000075 test-mlogloss:1.054293+0.054039
## [192] train-mlogloss:0.007688+0.000075 test-mlogloss:1.055377+0.053804
## [193] train-mlogloss:0.007665+0.000076 test-mlogloss:1.055167+0.053746
## [194] train-mlogloss:0.007641+0.000078 test-mlogloss:1.055532+0.053553
## [195] train-mlogloss:0.007618+0.000080 test-mlogloss:1.056165+0.053341
## [196] train-mlogloss:0.007595+0.000080 test-mlogloss:1.057027+0.053296
## [197] train-mlogloss:0.007572+0.000077 test-mlogloss:1.057549+0.053332
## [198] train-mlogloss:0.007545+0.000076 test-mlogloss:1.057813+0.053405
## [199] train-mlogloss:0.007525+0.000078 test-mlogloss:1.058212+0.053000
## [200] train-mlogloss:0.007503+0.000077 test-mlogloss:1.058472+0.053528
## [201] train-mlogloss:0.007481+0.000078 test-mlogloss:1.058821+0.053699
## [202] train-mlogloss:0.007458+0.000077 test-mlogloss:1.058751+0.053723
## [203] train-mlogloss:0.007436+0.000079 test-mlogloss:1.059367+0.053487
## [204] train-mlogloss:0.007415+0.000081 test-mlogloss:1.060192+0.053491
## [205] train-mlogloss:0.007390+0.000082 test-mlogloss:1.060298+0.053474
## [206] train-mlogloss:0.007372+0.000081 test-mlogloss:1.061326+0.054017
## [207] train-mlogloss:0.007348+0.000082 test-mlogloss:1.061576+0.053696
## [208] train-mlogloss:0.007326+0.000082 test-mlogloss:1.062033+0.054027
## [209] train-mlogloss:0.007306+0.000081 test-mlogloss:1.062550+0.053213
## [210] train-mlogloss:0.007286+0.000084 test-mlogloss:1.063245+0.053185
## [211] train-mlogloss:0.007267+0.000082 test-mlogloss:1.063581+0.052751
## [212] train-mlogloss:0.007247+0.000080 test-mlogloss:1.063840+0.053000
## [213] train-mlogloss:0.007226+0.000080 test-mlogloss:1.064521+0.052546
## [214] train-mlogloss:0.007207+0.000079 test-mlogloss:1.064908+0.052464
## [215] train-mlogloss:0.007186+0.000078 test-mlogloss:1.065476+0.052684
## [216] train-mlogloss:0.007165+0.000078 test-mlogloss:1.066126+0.052399
## [217] train-mlogloss:0.007143+0.000076 test-mlogloss:1.066406+0.052875
## [218] train-mlogloss:0.007124+0.000078 test-mlogloss:1.066513+0.052568
## [219] train-mlogloss:0.007104+0.000077 test-mlogloss:1.066889+0.052570
## [220] train-mlogloss:0.007085+0.000078 test-mlogloss:1.067572+0.052300
## [221] train-mlogloss:0.007065+0.000076 test-mlogloss:1.068316+0.052489
## [222] train-mlogloss:0.007046+0.000076 test-mlogloss:1.068781+0.053352
## [223] train-mlogloss:0.007027+0.000076 test-mlogloss:1.069404+0.053181
## [224] train-mlogloss:0.007010+0.000077 test-mlogloss:1.070021+0.053819
## [225] train-mlogloss:0.006994+0.000077 test-mlogloss:1.070334+0.053941
## [226] train-mlogloss:0.006974+0.000077 test-mlogloss:1.070763+0.054281
## [227] train-mlogloss:0.006956+0.000075 test-mlogloss:1.070900+0.053842
## [228] train-mlogloss:0.006939+0.000073 test-mlogloss:1.071204+0.054077
## [229] train-mlogloss:0.006922+0.000073 test-mlogloss:1.071528+0.054480
## [230] train-mlogloss:0.006903+0.000074 test-mlogloss:1.071997+0.054578
## [231] train-mlogloss:0.006885+0.000075 test-mlogloss:1.072086+0.054401
## [232] train-mlogloss:0.006867+0.000075 test-mlogloss:1.072456+0.054240
## [233] train-mlogloss:0.006851+0.000075 test-mlogloss:1.072857+0.054267
## [234] train-mlogloss:0.006834+0.000075 test-mlogloss:1.073253+0.054871
## [235] train-mlogloss:0.006814+0.000077 test-mlogloss:1.073886+0.054674
## [236] train-mlogloss:0.006797+0.000079 test-mlogloss:1.074293+0.054955
## [237] train-mlogloss:0.006780+0.000078 test-mlogloss:1.074650+0.055027
## [238] train-mlogloss:0.006764+0.000077 test-mlogloss:1.075148+0.055034
## [239] train-mlogloss:0.006745+0.000076 test-mlogloss:1.075787+0.055200
## [240] train-mlogloss:0.006729+0.000076 test-mlogloss:1.075781+0.055524
## [241] train-mlogloss:0.006713+0.000078 test-mlogloss:1.075790+0.055280
## [242] train-mlogloss:0.006698+0.000078 test-mlogloss:1.076455+0.054935
## [243] train-mlogloss:0.006679+0.000078 test-mlogloss:1.076775+0.055345
## [244] train-mlogloss:0.006665+0.000078 test-mlogloss:1.077199+0.054550
## [245] train-mlogloss:0.006648+0.000078 test-mlogloss:1.077791+0.054381
## [246] train-mlogloss:0.006632+0.000078 test-mlogloss:1.077838+0.054420
## [247] train-mlogloss:0.006615+0.000079 test-mlogloss:1.078210+0.054466
## [248] train-mlogloss:0.006600+0.000080 test-mlogloss:1.078615+0.053858
## [249] train-mlogloss:0.006583+0.000080 test-mlogloss:1.079210+0.054123
## [250] train-mlogloss:0.006566+0.000079 test-mlogloss:1.079779+0.054652
## [251] train-mlogloss:0.006549+0.000079 test-mlogloss:1.079983+0.054330
## [252] train-mlogloss:0.006534+0.000078 test-mlogloss:1.079972+0.054229
## [253] train-mlogloss:0.006519+0.000076 test-mlogloss:1.080521+0.054801
## [254] train-mlogloss:0.006503+0.000076 test-mlogloss:1.081345+0.054498
## [255] train-mlogloss:0.006489+0.000078 test-mlogloss:1.081866+0.053733
## [256] train-mlogloss:0.006473+0.000077 test-mlogloss:1.082426+0.054251
## [257] train-mlogloss:0.006456+0.000077 test-mlogloss:1.082472+0.053785
## [258] train-mlogloss:0.006441+0.000076 test-mlogloss:1.083000+0.053940
## [259] train-mlogloss:0.006427+0.000075 test-mlogloss:1.084017+0.054031
## [260] train-mlogloss:0.006414+0.000076 test-mlogloss:1.084500+0.054519
## [261] train-mlogloss:0.006401+0.000075 test-mlogloss:1.084975+0.054500
## [262] train-mlogloss:0.006385+0.000077 test-mlogloss:1.085159+0.054150
## [263] train-mlogloss:0.006372+0.000077 test-mlogloss:1.085465+0.054707
## [264] train-mlogloss:0.006358+0.000079 test-mlogloss:1.085389+0.054669
## [265] train-mlogloss:0.006343+0.000080 test-mlogloss:1.085755+0.055201
## [266] train-mlogloss:0.006331+0.000080 test-mlogloss:1.085880+0.054652
## [267] train-mlogloss:0.006316+0.000080 test-mlogloss:1.086857+0.054614
## [268] train-mlogloss:0.006302+0.000081 test-mlogloss:1.087478+0.054433
## [269] train-mlogloss:0.006288+0.000080 test-mlogloss:1.087654+0.054268
## [270] train-mlogloss:0.006275+0.000081 test-mlogloss:1.087546+0.054283
## [271] train-mlogloss:0.006263+0.000080 test-mlogloss:1.087670+0.054101
## [272] train-mlogloss:0.006252+0.000082 test-mlogloss:1.088134+0.054398
## [273] train-mlogloss:0.006240+0.000082 test-mlogloss:1.088092+0.054257
## [274] train-mlogloss:0.006227+0.000083 test-mlogloss:1.088751+0.053994
## [275] train-mlogloss:0.006215+0.000083 test-mlogloss:1.089367+0.054216
## [276] train-mlogloss:0.006203+0.000083 test-mlogloss:1.089717+0.054594
## [277] train-mlogloss:0.006189+0.000084 test-mlogloss:1.090377+0.054180
## [278] train-mlogloss:0.006176+0.000081 test-mlogloss:1.090849+0.054414
## [279] train-mlogloss:0.006164+0.000080 test-mlogloss:1.090634+0.054798
## [280] train-mlogloss:0.006151+0.000079 test-mlogloss:1.090953+0.054612
## [281] train-mlogloss:0.006138+0.000079 test-mlogloss:1.091621+0.054772
## [282] train-mlogloss:0.006124+0.000080 test-mlogloss:1.092366+0.054832
## [283] train-mlogloss:0.006111+0.000080 test-mlogloss:1.092903+0.055223
## [284] train-mlogloss:0.006099+0.000080 test-mlogloss:1.093091+0.055252
## [285] train-mlogloss:0.006088+0.000079 test-mlogloss:1.093584+0.055573
## [286] train-mlogloss:0.006077+0.000080 test-mlogloss:1.093991+0.055827
## [287] train-mlogloss:0.006064+0.000081 test-mlogloss:1.094127+0.055625
## [288] train-mlogloss:0.006052+0.000081 test-mlogloss:1.094390+0.055847
## [289] train-mlogloss:0.006039+0.000080 test-mlogloss:1.094233+0.055999
## [290] train-mlogloss:0.006027+0.000077 test-mlogloss:1.095084+0.055637
## [291] train-mlogloss:0.006017+0.000076 test-mlogloss:1.095230+0.055586
## [292] train-mlogloss:0.006006+0.000076 test-mlogloss:1.095450+0.055550
## [293] train-mlogloss:0.005993+0.000076 test-mlogloss:1.096003+0.055883
## [294] train-mlogloss:0.005979+0.000076 test-mlogloss:1.095882+0.055619
## [295] train-mlogloss:0.005967+0.000077 test-mlogloss:1.097057+0.055822
## [296] train-mlogloss:0.005955+0.000077 test-mlogloss:1.097648+0.056092
## [297] train-mlogloss:0.005943+0.000077 test-mlogloss:1.098002+0.056052
## [298] train-mlogloss:0.005931+0.000076 test-mlogloss:1.097718+0.055987
## [299] train-mlogloss:0.005921+0.000076 test-mlogloss:1.098216+0.055520
## [300] train-mlogloss:0.005911+0.000077 test-mlogloss:1.098501+0.055730
## [301] train-mlogloss:0.005901+0.000076 test-mlogloss:1.099351+0.055455
## [302] train-mlogloss:0.005889+0.000074 test-mlogloss:1.099548+0.055462
## [303] train-mlogloss:0.005878+0.000075 test-mlogloss:1.100257+0.055494
## [304] train-mlogloss:0.005868+0.000073 test-mlogloss:1.100114+0.055281
## [305] train-mlogloss:0.005857+0.000072 test-mlogloss:1.100647+0.055025
## [306] train-mlogloss:0.005845+0.000072 test-mlogloss:1.100439+0.055328
## [307] train-mlogloss:0.005836+0.000071 test-mlogloss:1.100838+0.055597
## [308] train-mlogloss:0.005826+0.000073 test-mlogloss:1.101093+0.055275
## [309] train-mlogloss:0.005817+0.000073 test-mlogloss:1.101403+0.055268
## [310] train-mlogloss:0.005806+0.000072 test-mlogloss:1.101880+0.055789
## [311] train-mlogloss:0.005796+0.000072 test-mlogloss:1.102171+0.055510
## [312] train-mlogloss:0.005784+0.000072 test-mlogloss:1.102245+0.055835
## [313] train-mlogloss:0.005775+0.000071 test-mlogloss:1.102336+0.055677
## [314] train-mlogloss:0.005765+0.000071 test-mlogloss:1.102840+0.055887
## [315] train-mlogloss:0.005755+0.000070 test-mlogloss:1.103197+0.056862
## [316] train-mlogloss:0.005746+0.000070 test-mlogloss:1.103412+0.057065
## [317] train-mlogloss:0.005735+0.000069 test-mlogloss:1.103342+0.056697
## [318] train-mlogloss:0.005726+0.000071 test-mlogloss:1.104264+0.056479
## [319] train-mlogloss:0.005716+0.000071 test-mlogloss:1.104564+0.056377
## [320] train-mlogloss:0.005706+0.000071 test-mlogloss:1.104563+0.055794
## [321] train-mlogloss:0.005696+0.000070 test-mlogloss:1.104634+0.056754
## [322] train-mlogloss:0.005687+0.000069 test-mlogloss:1.105341+0.056241
## [323] train-mlogloss:0.005677+0.000070 test-mlogloss:1.105686+0.055786
## [324] train-mlogloss:0.005668+0.000069 test-mlogloss:1.105937+0.056016
## [325] train-mlogloss:0.005659+0.000068 test-mlogloss:1.106079+0.056029
## [326] train-mlogloss:0.005649+0.000068 test-mlogloss:1.106152+0.055965
## [327] train-mlogloss:0.005640+0.000068 test-mlogloss:1.106692+0.055482
## [328] train-mlogloss:0.005630+0.000069 test-mlogloss:1.106886+0.055416
## [329] train-mlogloss:0.005621+0.000070 test-mlogloss:1.107037+0.055439
## [330] train-mlogloss:0.005612+0.000069 test-mlogloss:1.107676+0.055854
## [331] train-mlogloss:0.005601+0.000069 test-mlogloss:1.108173+0.055690
## [332] train-mlogloss:0.005592+0.000069 test-mlogloss:1.108532+0.055315
## [333] train-mlogloss:0.005583+0.000070 test-mlogloss:1.108919+0.055691
## [334] train-mlogloss:0.005575+0.000070 test-mlogloss:1.109387+0.055944
## [335] train-mlogloss:0.005565+0.000069 test-mlogloss:1.109961+0.056257
## [336] train-mlogloss:0.005555+0.000068 test-mlogloss:1.110025+0.055926
## [337] train-mlogloss:0.005546+0.000067 test-mlogloss:1.110145+0.056003
## [338] train-mlogloss:0.005537+0.000067 test-mlogloss:1.110478+0.056346
## [339] train-mlogloss:0.005528+0.000067 test-mlogloss:1.111101+0.056935
## [340] train-mlogloss:0.005518+0.000067 test-mlogloss:1.111247+0.056734
## [341] train-mlogloss:0.005510+0.000066 test-mlogloss:1.111210+0.056279
## [342] train-mlogloss:0.005502+0.000065 test-mlogloss:1.111084+0.055883
## [343] train-mlogloss:0.005494+0.000064 test-mlogloss:1.111062+0.056092
## [344] train-mlogloss:0.005485+0.000062 test-mlogloss:1.111399+0.056155
## [345] train-mlogloss:0.005476+0.000062 test-mlogloss:1.111624+0.055799
## [346] train-mlogloss:0.005467+0.000061 test-mlogloss:1.111513+0.055518
## [347] train-mlogloss:0.005458+0.000060 test-mlogloss:1.111876+0.055864
## [348] train-mlogloss:0.005450+0.000061 test-mlogloss:1.112143+0.056021
## [349] train-mlogloss:0.005441+0.000061 test-mlogloss:1.112109+0.055919
## [350] train-mlogloss:0.005434+0.000060 test-mlogloss:1.112264+0.055689
## [351] train-mlogloss:0.005426+0.000059 test-mlogloss:1.112810+0.055869
## [352] train-mlogloss:0.005418+0.000060 test-mlogloss:1.113568+0.055983
## [353] train-mlogloss:0.005410+0.000059 test-mlogloss:1.113839+0.056292
## [354] train-mlogloss:0.005401+0.000060 test-mlogloss:1.113879+0.056057
## [355] train-mlogloss:0.005393+0.000060 test-mlogloss:1.114394+0.056031
## [356] train-mlogloss:0.005385+0.000061 test-mlogloss:1.114706+0.056047
## [357] train-mlogloss:0.005375+0.000060 test-mlogloss:1.114773+0.055475
## [358] train-mlogloss:0.005368+0.000060 test-mlogloss:1.114954+0.056041
## [359] train-mlogloss:0.005359+0.000060 test-mlogloss:1.115432+0.055842
## [360] train-mlogloss:0.005351+0.000059 test-mlogloss:1.115998+0.056048
## [361] train-mlogloss:0.005343+0.000060 test-mlogloss:1.116328+0.056099
## [362] train-mlogloss:0.005334+0.000061 test-mlogloss:1.116484+0.056168
## [363] train-mlogloss:0.005327+0.000060 test-mlogloss:1.116350+0.055869
## [364] train-mlogloss:0.005318+0.000060 test-mlogloss:1.116443+0.056224
## [365] train-mlogloss:0.005311+0.000060 test-mlogloss:1.117059+0.056106
## [366] train-mlogloss:0.005304+0.000059 test-mlogloss:1.117288+0.056145
## [367] train-mlogloss:0.005297+0.000058 test-mlogloss:1.117210+0.056123
## [368] train-mlogloss:0.005289+0.000058 test-mlogloss:1.117761+0.056402
## [369] train-mlogloss:0.005281+0.000057 test-mlogloss:1.117788+0.056082
## [370] train-mlogloss:0.005273+0.000057 test-mlogloss:1.117757+0.055603
## [371] train-mlogloss:0.005265+0.000057 test-mlogloss:1.118102+0.056203
## [372] train-mlogloss:0.005257+0.000058 test-mlogloss:1.118530+0.056272
## [373] train-mlogloss:0.005249+0.000058 test-mlogloss:1.118945+0.056412
## [374] train-mlogloss:0.005241+0.000057 test-mlogloss:1.119189+0.056434
## [375] train-mlogloss:0.005234+0.000057 test-mlogloss:1.119750+0.056396
## [376] train-mlogloss:0.005226+0.000057 test-mlogloss:1.119882+0.056215
## [377] train-mlogloss:0.005219+0.000057 test-mlogloss:1.120388+0.056565
## [378] train-mlogloss:0.005211+0.000056 test-mlogloss:1.120870+0.056829
## [379] train-mlogloss:0.005204+0.000056 test-mlogloss:1.121221+0.056887
## [380] train-mlogloss:0.005196+0.000057 test-mlogloss:1.120839+0.057126
## [381] train-mlogloss:0.005189+0.000056 test-mlogloss:1.121263+0.057124
## [382] train-mlogloss:0.005182+0.000055 test-mlogloss:1.121640+0.056906
## [383] train-mlogloss:0.005175+0.000055 test-mlogloss:1.122005+0.056545
## [384] train-mlogloss:0.005168+0.000054 test-mlogloss:1.122308+0.056282
## [385] train-mlogloss:0.005161+0.000053 test-mlogloss:1.122374+0.056814
## [386] train-mlogloss:0.005154+0.000052 test-mlogloss:1.122637+0.057012
## [387] train-mlogloss:0.005146+0.000051 test-mlogloss:1.122998+0.056635
## [388] train-mlogloss:0.005140+0.000051 test-mlogloss:1.123459+0.056808
## [389] train-mlogloss:0.005132+0.000050 test-mlogloss:1.123620+0.056666
## [390] train-mlogloss:0.005126+0.000051 test-mlogloss:1.124139+0.056612
## [391] train-mlogloss:0.005118+0.000052 test-mlogloss:1.124662+0.056700
## [392] train-mlogloss:0.005111+0.000051 test-mlogloss:1.124694+0.056672
## [393] train-mlogloss:0.005104+0.000051 test-mlogloss:1.124853+0.056639
## [394] train-mlogloss:0.005098+0.000052 test-mlogloss:1.125481+0.057161
## [395] train-mlogloss:0.005092+0.000052 test-mlogloss:1.125804+0.057222
## [396] train-mlogloss:0.005084+0.000053 test-mlogloss:1.125846+0.057309
## [397] train-mlogloss:0.005078+0.000053 test-mlogloss:1.126177+0.057304
## [398] train-mlogloss:0.005071+0.000054 test-mlogloss:1.126755+0.057376
## [399] train-mlogloss:0.005065+0.000054 test-mlogloss:1.126768+0.057199
## [400] train-mlogloss:0.005058+0.000053 test-mlogloss:1.127175+0.056954
## [401] train-mlogloss:0.005053+0.000053 test-mlogloss:1.127089+0.057089
## [402] train-mlogloss:0.005047+0.000053 test-mlogloss:1.127216+0.057124
## [403] train-mlogloss:0.005040+0.000053 test-mlogloss:1.127424+0.057148
## [404] train-mlogloss:0.005034+0.000053 test-mlogloss:1.127874+0.057301
## [405] train-mlogloss:0.005027+0.000054 test-mlogloss:1.128038+0.057379
## [406] train-mlogloss:0.005020+0.000053 test-mlogloss:1.128395+0.057042
## [407] train-mlogloss:0.005013+0.000052 test-mlogloss:1.128476+0.057040
## [408] train-mlogloss:0.005008+0.000053 test-mlogloss:1.128723+0.057292
## [409] train-mlogloss:0.005002+0.000053 test-mlogloss:1.128615+0.057475
## [410] train-mlogloss:0.004996+0.000052 test-mlogloss:1.128914+0.057142
## [411] train-mlogloss:0.004990+0.000052 test-mlogloss:1.129028+0.057534
## [412] train-mlogloss:0.004983+0.000052 test-mlogloss:1.129658+0.057858
## [413] train-mlogloss:0.004977+0.000051 test-mlogloss:1.129472+0.057977
## [414] train-mlogloss:0.004971+0.000051 test-mlogloss:1.129804+0.058039
## [415] train-mlogloss:0.004965+0.000050 test-mlogloss:1.130118+0.058072
## [416] train-mlogloss:0.004959+0.000050 test-mlogloss:1.130137+0.057851
## [417] train-mlogloss:0.004953+0.000050 test-mlogloss:1.130369+0.058266
## [418] train-mlogloss:0.004948+0.000050 test-mlogloss:1.130240+0.057903
## [419] train-mlogloss:0.004942+0.000050 test-mlogloss:1.130749+0.057787
## [420] train-mlogloss:0.004936+0.000050 test-mlogloss:1.131047+0.057862
## [421] train-mlogloss:0.004929+0.000049 test-mlogloss:1.130653+0.057573
## [422] train-mlogloss:0.004923+0.000049 test-mlogloss:1.131044+0.057744
## [423] train-mlogloss:0.004917+0.000050 test-mlogloss:1.131692+0.057890
## [424] train-mlogloss:0.004911+0.000050 test-mlogloss:1.131968+0.058082
## [425] train-mlogloss:0.004905+0.000050 test-mlogloss:1.131801+0.057988
## [426] train-mlogloss:0.004900+0.000050 test-mlogloss:1.132391+0.058007
## [427] train-mlogloss:0.004895+0.000051 test-mlogloss:1.132476+0.057753
## [428] train-mlogloss:0.004888+0.000050 test-mlogloss:1.132610+0.057620
## [429] train-mlogloss:0.004882+0.000051 test-mlogloss:1.133034+0.057987
## [430] train-mlogloss:0.004876+0.000051 test-mlogloss:1.133223+0.058220
## [431] train-mlogloss:0.004869+0.000051 test-mlogloss:1.133472+0.058586
## [432] train-mlogloss:0.004863+0.000050 test-mlogloss:1.133454+0.058469
## [433] train-mlogloss:0.004858+0.000052 test-mlogloss:1.133740+0.058591
## [434] train-mlogloss:0.004851+0.000052 test-mlogloss:1.134575+0.058557
## [435] train-mlogloss:0.004845+0.000052 test-mlogloss:1.134248+0.058014
## [436] train-mlogloss:0.004839+0.000052 test-mlogloss:1.134662+0.057826
## [437] train-mlogloss:0.004833+0.000051 test-mlogloss:1.134913+0.058234
## [438] train-mlogloss:0.004828+0.000051 test-mlogloss:1.134735+0.058396
## [439] train-mlogloss:0.004822+0.000050 test-mlogloss:1.135017+0.058181
## [440] train-mlogloss:0.004814+0.000050 test-mlogloss:1.135246+0.058201
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## [442] train-mlogloss:0.004800+0.000050 test-mlogloss:1.135576+0.058454
## [443] train-mlogloss:0.004795+0.000049 test-mlogloss:1.135814+0.058001
## [444] train-mlogloss:0.004789+0.000049 test-mlogloss:1.136195+0.058248
## [445] train-mlogloss:0.004784+0.000048 test-mlogloss:1.136689+0.058422
## [446] train-mlogloss:0.004778+0.000048 test-mlogloss:1.136717+0.058504
## [447] train-mlogloss:0.004773+0.000047 test-mlogloss:1.136669+0.058284
## [448] train-mlogloss:0.004768+0.000047 test-mlogloss:1.137286+0.058272
## [449] train-mlogloss:0.004762+0.000047 test-mlogloss:1.137199+0.058416
## [450] train-mlogloss:0.004757+0.000046 test-mlogloss:1.137325+0.058156
## [451] train-mlogloss:0.004751+0.000046 test-mlogloss:1.137664+0.058147
## [452] train-mlogloss:0.004746+0.000047 test-mlogloss:1.137735+0.057776
## [453] train-mlogloss:0.004740+0.000047 test-mlogloss:1.137859+0.058292
## [454] train-mlogloss:0.004735+0.000047 test-mlogloss:1.137949+0.057806
## [455] train-mlogloss:0.004729+0.000047 test-mlogloss:1.138164+0.057815
## [456] train-mlogloss:0.004722+0.000047 test-mlogloss:1.138517+0.058199
## [457] train-mlogloss:0.004717+0.000047 test-mlogloss:1.138792+0.057971
## [458] train-mlogloss:0.004712+0.000047 test-mlogloss:1.138933+0.058461
## [459] train-mlogloss:0.004707+0.000046 test-mlogloss:1.139138+0.058421
## [460] train-mlogloss:0.004701+0.000046 test-mlogloss:1.139851+0.058143
## [461] train-mlogloss:0.004696+0.000045 test-mlogloss:1.139895+0.058557
## [462] train-mlogloss:0.004691+0.000046 test-mlogloss:1.139800+0.057955
## [463] train-mlogloss:0.004686+0.000045 test-mlogloss:1.139950+0.058004
## [464] train-mlogloss:0.004681+0.000045 test-mlogloss:1.140075+0.058349
## [465] train-mlogloss:0.004676+0.000045 test-mlogloss:1.140456+0.058544
## [466] train-mlogloss:0.004671+0.000045 test-mlogloss:1.140852+0.058450
## [467] train-mlogloss:0.004666+0.000045 test-mlogloss:1.141080+0.058478
## [468] train-mlogloss:0.004661+0.000046 test-mlogloss:1.141123+0.058474
## [469] train-mlogloss:0.004655+0.000045 test-mlogloss:1.141065+0.058460
## [470] train-mlogloss:0.004650+0.000046 test-mlogloss:1.141715+0.058246
## [471] train-mlogloss:0.004645+0.000046 test-mlogloss:1.142065+0.057988
## [472] train-mlogloss:0.004640+0.000046 test-mlogloss:1.142285+0.057988
## [473] train-mlogloss:0.004635+0.000046 test-mlogloss:1.142310+0.057973
## [474] train-mlogloss:0.004631+0.000045 test-mlogloss:1.142460+0.058027
## [475] train-mlogloss:0.004626+0.000046 test-mlogloss:1.142639+0.058048
## [476] train-mlogloss:0.004621+0.000046 test-mlogloss:1.142624+0.057938
## [477] train-mlogloss:0.004616+0.000047 test-mlogloss:1.143164+0.058225
## [478] train-mlogloss:0.004611+0.000046 test-mlogloss:1.143053+0.058154
## [479] train-mlogloss:0.004607+0.000047 test-mlogloss:1.143414+0.057804
## [480] train-mlogloss:0.004602+0.000047 test-mlogloss:1.143762+0.057971
## [481] train-mlogloss:0.004597+0.000046 test-mlogloss:1.143869+0.058246
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## [484] train-mlogloss:0.004583+0.000047 test-mlogloss:1.145148+0.058053
## [485] train-mlogloss:0.004578+0.000046 test-mlogloss:1.144849+0.058089
## [486] train-mlogloss:0.004573+0.000046 test-mlogloss:1.145062+0.057817
## [487] train-mlogloss:0.004568+0.000046 test-mlogloss:1.145429+0.057950
## [488] train-mlogloss:0.004563+0.000046 test-mlogloss:1.145656+0.057954
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## [490] train-mlogloss:0.004553+0.000046 test-mlogloss:1.146010+0.057952
## [491] train-mlogloss:0.004549+0.000047 test-mlogloss:1.146525+0.058007
## [492] train-mlogloss:0.004545+0.000047 test-mlogloss:1.146935+0.058251
## [493] train-mlogloss:0.004540+0.000047 test-mlogloss:1.147390+0.058026
## [494] train-mlogloss:0.004535+0.000048 test-mlogloss:1.147377+0.058013
## [495] train-mlogloss:0.004531+0.000047 test-mlogloss:1.147268+0.057503
## [496] train-mlogloss:0.004527+0.000048 test-mlogloss:1.147527+0.057287
## [497] train-mlogloss:0.004522+0.000047 test-mlogloss:1.147766+0.057080
## [498] train-mlogloss:0.004518+0.000047 test-mlogloss:1.148219+0.057598
## [499] train-mlogloss:0.004514+0.000046 test-mlogloss:1.148505+0.057909
## [500] train-mlogloss:0.004509+0.000046 test-mlogloss:1.148453+0.057505
## [1] train-mlogloss:0.614386+0.001592 test-mlogloss:0.620825+0.001676
## [2] train-mlogloss:0.570936+0.002498 test-mlogloss:0.583002+0.003507
## [3] train-mlogloss:0.543804+0.003127 test-mlogloss:0.561899+0.004689
## [4] train-mlogloss:0.526266+0.003509 test-mlogloss:0.549622+0.005957
## [5] train-mlogloss:0.514308+0.003556 test-mlogloss:0.542233+0.006645
## [6] train-mlogloss:0.505732+0.003448 test-mlogloss:0.538911+0.007576
## [7] train-mlogloss:0.499064+0.003063 test-mlogloss:0.536620+0.008547
## [8] train-mlogloss:0.493924+0.003217 test-mlogloss:0.535758+0.009514
## [9] train-mlogloss:0.490271+0.003303 test-mlogloss:0.535571+0.010230
## [10] train-mlogloss:0.486943+0.002945 test-mlogloss:0.535812+0.010386
## [11] train-mlogloss:0.483417+0.003190 test-mlogloss:0.535476+0.010628
## [12] train-mlogloss:0.479975+0.002677 test-mlogloss:0.535957+0.010417
## [13] train-mlogloss:0.476809+0.003501 test-mlogloss:0.536710+0.011034
## [14] train-mlogloss:0.474093+0.003153 test-mlogloss:0.537105+0.010962
## [15] train-mlogloss:0.471325+0.003515 test-mlogloss:0.537675+0.011164
## [16] train-mlogloss:0.468154+0.003418 test-mlogloss:0.538153+0.011218
## [17] train-mlogloss:0.465749+0.003667 test-mlogloss:0.538900+0.010788
## [18] train-mlogloss:0.462313+0.003597 test-mlogloss:0.539112+0.010852
## [19] train-mlogloss:0.459953+0.003629 test-mlogloss:0.539563+0.010132
## [20] train-mlogloss:0.457589+0.004287 test-mlogloss:0.540319+0.009681
## [21] train-mlogloss:0.454904+0.003914 test-mlogloss:0.540833+0.009583
## [22] train-mlogloss:0.452447+0.004161 test-mlogloss:0.541142+0.009958
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## [59] train-mlogloss:0.368934+0.004916 test-mlogloss:0.562475+0.014053
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## [236] train-mlogloss:0.167455+0.003116 test-mlogloss:0.660824+0.025475
## [237] train-mlogloss:0.166675+0.003019 test-mlogloss:0.661062+0.025903
## [238] train-mlogloss:0.165799+0.002813 test-mlogloss:0.662056+0.025598
## [239] train-mlogloss:0.165244+0.002735 test-mlogloss:0.662148+0.025653
## [240] train-mlogloss:0.164520+0.002771 test-mlogloss:0.662720+0.025796
## [241] train-mlogloss:0.163925+0.002708 test-mlogloss:0.663114+0.026176
## [242] train-mlogloss:0.163294+0.002776 test-mlogloss:0.663828+0.025975
## [243] train-mlogloss:0.162645+0.002777 test-mlogloss:0.663764+0.025851
## [244] train-mlogloss:0.162025+0.002722 test-mlogloss:0.664530+0.025900
## [245] train-mlogloss:0.161397+0.002888 test-mlogloss:0.665413+0.025685
## [246] train-mlogloss:0.160626+0.002924 test-mlogloss:0.665756+0.025463
## [247] train-mlogloss:0.159738+0.002824 test-mlogloss:0.666640+0.025243
## [248] train-mlogloss:0.159194+0.002702 test-mlogloss:0.666668+0.024646
## [249] train-mlogloss:0.158628+0.002666 test-mlogloss:0.666874+0.024919
## [250] train-mlogloss:0.158086+0.002723 test-mlogloss:0.667352+0.025174
## [251] train-mlogloss:0.157502+0.002590 test-mlogloss:0.667777+0.025468
## [252] train-mlogloss:0.156889+0.002542 test-mlogloss:0.668401+0.025397
## [253] train-mlogloss:0.156188+0.002574 test-mlogloss:0.668829+0.024925
## [254] train-mlogloss:0.155635+0.002698 test-mlogloss:0.669281+0.024644
## [255] train-mlogloss:0.154981+0.002728 test-mlogloss:0.670181+0.025024
## [256] train-mlogloss:0.154400+0.002652 test-mlogloss:0.670798+0.024921
## [257] train-mlogloss:0.153827+0.002484 test-mlogloss:0.671233+0.025233
## [258] train-mlogloss:0.153228+0.002445 test-mlogloss:0.671445+0.025536
## [259] train-mlogloss:0.152666+0.002482 test-mlogloss:0.672009+0.025256
## [260] train-mlogloss:0.152227+0.002482 test-mlogloss:0.672321+0.025215
## [261] train-mlogloss:0.151582+0.002389 test-mlogloss:0.673159+0.025442
## [262] train-mlogloss:0.151010+0.002277 test-mlogloss:0.673486+0.025466
## [263] train-mlogloss:0.150482+0.002397 test-mlogloss:0.673661+0.025346
## [264] train-mlogloss:0.149939+0.002355 test-mlogloss:0.674309+0.025403
## [265] train-mlogloss:0.149395+0.002324 test-mlogloss:0.674569+0.024746
## [266] train-mlogloss:0.148941+0.002233 test-mlogloss:0.674893+0.025256
## [267] train-mlogloss:0.148374+0.002305 test-mlogloss:0.675029+0.025049
## [268] train-mlogloss:0.147797+0.002267 test-mlogloss:0.674795+0.025041
## [269] train-mlogloss:0.147108+0.002329 test-mlogloss:0.675401+0.025234
## [270] train-mlogloss:0.146496+0.002269 test-mlogloss:0.676214+0.025625
## [271] train-mlogloss:0.145908+0.002289 test-mlogloss:0.677392+0.026108
## [272] train-mlogloss:0.145371+0.002326 test-mlogloss:0.677995+0.025959
## [273] train-mlogloss:0.144798+0.002304 test-mlogloss:0.678178+0.025641
## [274] train-mlogloss:0.144149+0.002379 test-mlogloss:0.679266+0.025533
## [275] train-mlogloss:0.143653+0.002439 test-mlogloss:0.679539+0.025288
## [276] train-mlogloss:0.143023+0.002506 test-mlogloss:0.679977+0.025175
## [277] train-mlogloss:0.142413+0.002476 test-mlogloss:0.681102+0.024912
## [278] train-mlogloss:0.141812+0.002526 test-mlogloss:0.682155+0.024704
## [279] train-mlogloss:0.141246+0.002541 test-mlogloss:0.682599+0.025067
## [280] train-mlogloss:0.140658+0.002539 test-mlogloss:0.683726+0.025088
## [281] train-mlogloss:0.140024+0.002539 test-mlogloss:0.685118+0.025058
## [282] train-mlogloss:0.139531+0.002512 test-mlogloss:0.685444+0.024782
## [283] train-mlogloss:0.138962+0.002571 test-mlogloss:0.686046+0.024652
## [284] train-mlogloss:0.138380+0.002561 test-mlogloss:0.687115+0.025076
## [285] train-mlogloss:0.137692+0.002438 test-mlogloss:0.687433+0.025163
## [286] train-mlogloss:0.137182+0.002417 test-mlogloss:0.687920+0.024978
## [287] train-mlogloss:0.136753+0.002477 test-mlogloss:0.688070+0.024772
## [288] train-mlogloss:0.136350+0.002459 test-mlogloss:0.688349+0.024802
## [289] train-mlogloss:0.135825+0.002503 test-mlogloss:0.688795+0.025002
## [290] train-mlogloss:0.135171+0.002589 test-mlogloss:0.689396+0.024900
## [291] train-mlogloss:0.134573+0.002612 test-mlogloss:0.689179+0.024825
## [292] train-mlogloss:0.134086+0.002577 test-mlogloss:0.689736+0.024913
## [293] train-mlogloss:0.133555+0.002567 test-mlogloss:0.690744+0.024761
## [294] train-mlogloss:0.133006+0.002675 test-mlogloss:0.691229+0.024515
## [295] train-mlogloss:0.132480+0.002733 test-mlogloss:0.691499+0.024250
## [296] train-mlogloss:0.132032+0.002678 test-mlogloss:0.691658+0.024698
## [297] train-mlogloss:0.131498+0.002696 test-mlogloss:0.692033+0.025016
## [298] train-mlogloss:0.131119+0.002649 test-mlogloss:0.692345+0.024674
## [299] train-mlogloss:0.130721+0.002601 test-mlogloss:0.692955+0.024529
## [300] train-mlogloss:0.130168+0.002461 test-mlogloss:0.694407+0.024003
## [301] train-mlogloss:0.129689+0.002389 test-mlogloss:0.694896+0.023928
## [302] train-mlogloss:0.129126+0.002461 test-mlogloss:0.695399+0.023707
## [303] train-mlogloss:0.128667+0.002364 test-mlogloss:0.696383+0.023858
## [304] train-mlogloss:0.128300+0.002427 test-mlogloss:0.696719+0.023785
## [305] train-mlogloss:0.127817+0.002344 test-mlogloss:0.697593+0.023816
## [306] train-mlogloss:0.127265+0.002308 test-mlogloss:0.698227+0.024268
## [307] train-mlogloss:0.126855+0.002294 test-mlogloss:0.698720+0.024025
## [308] train-mlogloss:0.126475+0.002336 test-mlogloss:0.699241+0.024200
## [309] train-mlogloss:0.125929+0.002288 test-mlogloss:0.699865+0.024292
## [310] train-mlogloss:0.125388+0.002196 test-mlogloss:0.700604+0.024170
## [311] train-mlogloss:0.124928+0.002209 test-mlogloss:0.700712+0.023953
## [312] train-mlogloss:0.124536+0.002249 test-mlogloss:0.701177+0.023793
## [313] train-mlogloss:0.124074+0.002278 test-mlogloss:0.701725+0.024479
## [314] train-mlogloss:0.123561+0.002230 test-mlogloss:0.701933+0.024871
## [315] train-mlogloss:0.123142+0.002333 test-mlogloss:0.702239+0.024847
## [316] train-mlogloss:0.122724+0.002322 test-mlogloss:0.702588+0.024775
## [317] train-mlogloss:0.122398+0.002276 test-mlogloss:0.703123+0.024912
## [318] train-mlogloss:0.122011+0.002274 test-mlogloss:0.703805+0.025145
## [319] train-mlogloss:0.121614+0.002231 test-mlogloss:0.704869+0.025145
## [320] train-mlogloss:0.121207+0.002201 test-mlogloss:0.705501+0.024798
## [321] train-mlogloss:0.120691+0.002195 test-mlogloss:0.705620+0.024592
## [322] train-mlogloss:0.120290+0.002301 test-mlogloss:0.706164+0.024610
## [323] train-mlogloss:0.119943+0.002318 test-mlogloss:0.706468+0.024616
## [324] train-mlogloss:0.119450+0.002340 test-mlogloss:0.707129+0.024121
## [325] train-mlogloss:0.119026+0.002265 test-mlogloss:0.707599+0.024274
## [326] train-mlogloss:0.118538+0.002209 test-mlogloss:0.708422+0.024434
## [327] train-mlogloss:0.118129+0.002140 test-mlogloss:0.709255+0.024532
## [328] train-mlogloss:0.117709+0.002291 test-mlogloss:0.710208+0.025221
## [329] train-mlogloss:0.117277+0.002305 test-mlogloss:0.711029+0.025421
## [330] train-mlogloss:0.116756+0.002373 test-mlogloss:0.711258+0.025347
## [331] train-mlogloss:0.116365+0.002359 test-mlogloss:0.711412+0.025830
## [332] train-mlogloss:0.115845+0.002442 test-mlogloss:0.711561+0.026200
## [333] train-mlogloss:0.115434+0.002421 test-mlogloss:0.711996+0.026601
## [334] train-mlogloss:0.114973+0.002377 test-mlogloss:0.712685+0.026568
## [335] train-mlogloss:0.114480+0.002331 test-mlogloss:0.712789+0.026801
## [336] train-mlogloss:0.114015+0.002321 test-mlogloss:0.712939+0.026415
## [337] train-mlogloss:0.113651+0.002334 test-mlogloss:0.713983+0.027454
## [338] train-mlogloss:0.113227+0.002353 test-mlogloss:0.714155+0.027259
## [339] train-mlogloss:0.112885+0.002373 test-mlogloss:0.714823+0.027200
## [340] train-mlogloss:0.112544+0.002477 test-mlogloss:0.715294+0.027410
## [341] train-mlogloss:0.112264+0.002455 test-mlogloss:0.715282+0.027513
## [342] train-mlogloss:0.111883+0.002436 test-mlogloss:0.715483+0.027532
## [343] train-mlogloss:0.111552+0.002443 test-mlogloss:0.716121+0.027483
## [344] train-mlogloss:0.111194+0.002463 test-mlogloss:0.716770+0.027468
## [345] train-mlogloss:0.110869+0.002427 test-mlogloss:0.717270+0.027448
## [346] train-mlogloss:0.110493+0.002388 test-mlogloss:0.717798+0.027604
## [347] train-mlogloss:0.110047+0.002333 test-mlogloss:0.718296+0.027272
## [348] train-mlogloss:0.109671+0.002315 test-mlogloss:0.718329+0.027358
## [349] train-mlogloss:0.109290+0.002338 test-mlogloss:0.719072+0.027099
## [350] train-mlogloss:0.108925+0.002339 test-mlogloss:0.719366+0.027239
## [351] train-mlogloss:0.108492+0.002357 test-mlogloss:0.720053+0.027638
## [352] train-mlogloss:0.108170+0.002415 test-mlogloss:0.720226+0.027856
## [353] train-mlogloss:0.107829+0.002407 test-mlogloss:0.720648+0.028097
## [354] train-mlogloss:0.107483+0.002464 test-mlogloss:0.721639+0.027983
## [355] train-mlogloss:0.107105+0.002446 test-mlogloss:0.722552+0.027300
## [356] train-mlogloss:0.106788+0.002466 test-mlogloss:0.722811+0.027181
## [357] train-mlogloss:0.106379+0.002552 test-mlogloss:0.723100+0.027017
## [358] train-mlogloss:0.105957+0.002564 test-mlogloss:0.723353+0.026951
## [359] train-mlogloss:0.105615+0.002626 test-mlogloss:0.724036+0.027878
## [360] train-mlogloss:0.105242+0.002600 test-mlogloss:0.724599+0.027802
## [361] train-mlogloss:0.104832+0.002612 test-mlogloss:0.725413+0.027922
## [362] train-mlogloss:0.104491+0.002668 test-mlogloss:0.725799+0.028256
## [363] train-mlogloss:0.104147+0.002640 test-mlogloss:0.726071+0.028201
## [364] train-mlogloss:0.103756+0.002529 test-mlogloss:0.726514+0.027789
## [365] train-mlogloss:0.103422+0.002537 test-mlogloss:0.726681+0.027918
## [366] train-mlogloss:0.103072+0.002487 test-mlogloss:0.727236+0.027661
## [367] train-mlogloss:0.102715+0.002420 test-mlogloss:0.727637+0.027597
## [368] train-mlogloss:0.102322+0.002347 test-mlogloss:0.728007+0.027967
## [369] train-mlogloss:0.101980+0.002392 test-mlogloss:0.728616+0.028033
## [370] train-mlogloss:0.101713+0.002462 test-mlogloss:0.729085+0.028010
## [371] train-mlogloss:0.101345+0.002507 test-mlogloss:0.729360+0.028489
## [372] train-mlogloss:0.100995+0.002509 test-mlogloss:0.729726+0.028767
## [373] train-mlogloss:0.100747+0.002461 test-mlogloss:0.730330+0.028653
## [374] train-mlogloss:0.100375+0.002412 test-mlogloss:0.730903+0.029059
## [375] train-mlogloss:0.100067+0.002378 test-mlogloss:0.731259+0.029328
## [376] train-mlogloss:0.099686+0.002409 test-mlogloss:0.731630+0.029576
## [377] train-mlogloss:0.099386+0.002426 test-mlogloss:0.732157+0.029442
## [378] train-mlogloss:0.099106+0.002361 test-mlogloss:0.732470+0.029547
## [379] train-mlogloss:0.098826+0.002325 test-mlogloss:0.732831+0.029605
## [380] train-mlogloss:0.098512+0.002271 test-mlogloss:0.734000+0.029804
## [381] train-mlogloss:0.098170+0.002241 test-mlogloss:0.734515+0.029614
## [382] train-mlogloss:0.097806+0.002224 test-mlogloss:0.734386+0.029559
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## [384] train-mlogloss:0.097162+0.002260 test-mlogloss:0.735493+0.029584
## [385] train-mlogloss:0.096875+0.002246 test-mlogloss:0.735561+0.029591
## [386] train-mlogloss:0.096559+0.002317 test-mlogloss:0.736479+0.029461
## [387] train-mlogloss:0.096244+0.002250 test-mlogloss:0.736959+0.029565
## [388] train-mlogloss:0.095931+0.002247 test-mlogloss:0.737338+0.029794
## [389] train-mlogloss:0.095605+0.002245 test-mlogloss:0.738325+0.029560
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## [392] train-mlogloss:0.094700+0.002204 test-mlogloss:0.739146+0.029074
## [393] train-mlogloss:0.094401+0.002246 test-mlogloss:0.739122+0.029208
## [394] train-mlogloss:0.094127+0.002246 test-mlogloss:0.739704+0.028971
## [395] train-mlogloss:0.093832+0.002243 test-mlogloss:0.739675+0.029187
## [396] train-mlogloss:0.093492+0.002215 test-mlogloss:0.739851+0.028614
## [397] train-mlogloss:0.093059+0.002230 test-mlogloss:0.739952+0.028831
## [398] train-mlogloss:0.092724+0.002221 test-mlogloss:0.739790+0.028781
## [399] train-mlogloss:0.092434+0.002213 test-mlogloss:0.740152+0.029066
## [400] train-mlogloss:0.092068+0.002228 test-mlogloss:0.741038+0.029566
## [401] train-mlogloss:0.091715+0.002171 test-mlogloss:0.741733+0.029330
## [402] train-mlogloss:0.091451+0.002198 test-mlogloss:0.741956+0.029977
## [403] train-mlogloss:0.091164+0.002153 test-mlogloss:0.742627+0.029306
## [404] train-mlogloss:0.090827+0.002185 test-mlogloss:0.742878+0.029720
## [405] train-mlogloss:0.090492+0.002134 test-mlogloss:0.743219+0.029995
## [406] train-mlogloss:0.090220+0.002111 test-mlogloss:0.744039+0.030011
## [407] train-mlogloss:0.089919+0.002061 test-mlogloss:0.744356+0.030290
## [408] train-mlogloss:0.089665+0.002056 test-mlogloss:0.744240+0.029914
## [409] train-mlogloss:0.089385+0.001972 test-mlogloss:0.744524+0.030055
## [410] train-mlogloss:0.089132+0.001987 test-mlogloss:0.745052+0.029511
## [411] train-mlogloss:0.088854+0.001918 test-mlogloss:0.745616+0.029739
## [412] train-mlogloss:0.088565+0.001890 test-mlogloss:0.746126+0.030063
## [413] train-mlogloss:0.088243+0.001862 test-mlogloss:0.746820+0.029820
## [414] train-mlogloss:0.087951+0.001847 test-mlogloss:0.747174+0.030055
## [415] train-mlogloss:0.087617+0.001857 test-mlogloss:0.748033+0.030073
## [416] train-mlogloss:0.087310+0.001868 test-mlogloss:0.748500+0.029923
## [417] train-mlogloss:0.087027+0.001827 test-mlogloss:0.748873+0.029721
## [418] train-mlogloss:0.086774+0.001816 test-mlogloss:0.749665+0.029752
## [419] train-mlogloss:0.086482+0.001821 test-mlogloss:0.750279+0.030008
## [420] train-mlogloss:0.086221+0.001859 test-mlogloss:0.750213+0.030052
## [421] train-mlogloss:0.085984+0.001908 test-mlogloss:0.750920+0.029918
## [422] train-mlogloss:0.085709+0.001892 test-mlogloss:0.751153+0.030041
## [423] train-mlogloss:0.085474+0.001912 test-mlogloss:0.752185+0.030346
## [424] train-mlogloss:0.085240+0.001963 test-mlogloss:0.752350+0.030325
## [425] train-mlogloss:0.085018+0.001987 test-mlogloss:0.752506+0.030455
## [426] train-mlogloss:0.084758+0.001900 test-mlogloss:0.752652+0.030477
## [427] train-mlogloss:0.084478+0.001864 test-mlogloss:0.753237+0.030666
## [428] train-mlogloss:0.084245+0.001852 test-mlogloss:0.753783+0.030432
## [429] train-mlogloss:0.084026+0.001824 test-mlogloss:0.754225+0.030874
## [430] train-mlogloss:0.083803+0.001850 test-mlogloss:0.754645+0.030883
## [431] train-mlogloss:0.083569+0.001853 test-mlogloss:0.755027+0.030978
## [432] train-mlogloss:0.083277+0.001906 test-mlogloss:0.755509+0.031245
## [433] train-mlogloss:0.082998+0.001847 test-mlogloss:0.755716+0.031281
## [434] train-mlogloss:0.082723+0.001762 test-mlogloss:0.756110+0.031046
## [435] train-mlogloss:0.082480+0.001806 test-mlogloss:0.756917+0.031309
## [436] train-mlogloss:0.082199+0.001788 test-mlogloss:0.757530+0.030915
## [437] train-mlogloss:0.082012+0.001794 test-mlogloss:0.757835+0.030724
## [438] train-mlogloss:0.081802+0.001787 test-mlogloss:0.757741+0.030513
## [439] train-mlogloss:0.081526+0.001836 test-mlogloss:0.757935+0.030069
## [440] train-mlogloss:0.081246+0.001843 test-mlogloss:0.758542+0.030215
## [441] train-mlogloss:0.080956+0.001845 test-mlogloss:0.758937+0.030481
## [442] train-mlogloss:0.080703+0.001854 test-mlogloss:0.759501+0.030287
## [443] train-mlogloss:0.080430+0.001882 test-mlogloss:0.759983+0.029767
## [444] train-mlogloss:0.080173+0.001821 test-mlogloss:0.760060+0.029805
## [445] train-mlogloss:0.079979+0.001797 test-mlogloss:0.760520+0.029860
## [446] train-mlogloss:0.079723+0.001775 test-mlogloss:0.761182+0.030028
## [447] train-mlogloss:0.079461+0.001735 test-mlogloss:0.761539+0.030231
## [448] train-mlogloss:0.079257+0.001704 test-mlogloss:0.761635+0.030034
## [449] train-mlogloss:0.078983+0.001667 test-mlogloss:0.761919+0.030674
## [450] train-mlogloss:0.078741+0.001696 test-mlogloss:0.762111+0.030691
## [451] train-mlogloss:0.078485+0.001670 test-mlogloss:0.762408+0.030317
## [452] train-mlogloss:0.078248+0.001665 test-mlogloss:0.762894+0.030468
## [453] train-mlogloss:0.078043+0.001737 test-mlogloss:0.763393+0.030528
## [454] train-mlogloss:0.077788+0.001752 test-mlogloss:0.763967+0.030250
## [455] train-mlogloss:0.077575+0.001780 test-mlogloss:0.764324+0.029853
## [456] train-mlogloss:0.077310+0.001788 test-mlogloss:0.764930+0.029897
## [457] train-mlogloss:0.077064+0.001802 test-mlogloss:0.765170+0.030138
## [458] train-mlogloss:0.076849+0.001857 test-mlogloss:0.765522+0.029909
## [459] train-mlogloss:0.076538+0.001829 test-mlogloss:0.765471+0.029937
## [460] train-mlogloss:0.076264+0.001789 test-mlogloss:0.766154+0.030039
## [461] train-mlogloss:0.076025+0.001770 test-mlogloss:0.766515+0.030131
## [462] train-mlogloss:0.075824+0.001782 test-mlogloss:0.767113+0.029865
## [463] train-mlogloss:0.075587+0.001784 test-mlogloss:0.767978+0.030291
## [464] train-mlogloss:0.075371+0.001798 test-mlogloss:0.768740+0.030462
## [465] train-mlogloss:0.075183+0.001820 test-mlogloss:0.768702+0.030526
## [466] train-mlogloss:0.074903+0.001745 test-mlogloss:0.769438+0.030497
## [467] train-mlogloss:0.074678+0.001779 test-mlogloss:0.769596+0.030784
## [468] train-mlogloss:0.074465+0.001808 test-mlogloss:0.770131+0.030718
## [469] train-mlogloss:0.074219+0.001760 test-mlogloss:0.770824+0.031031
## [470] train-mlogloss:0.073946+0.001717 test-mlogloss:0.771468+0.031057
## [471] train-mlogloss:0.073688+0.001732 test-mlogloss:0.772067+0.030880
## [472] train-mlogloss:0.073489+0.001720 test-mlogloss:0.772398+0.030945
## [473] train-mlogloss:0.073341+0.001770 test-mlogloss:0.772790+0.031045
## [474] train-mlogloss:0.073080+0.001763 test-mlogloss:0.773443+0.031029
## [475] train-mlogloss:0.072820+0.001761 test-mlogloss:0.773518+0.031714
## [476] train-mlogloss:0.072673+0.001744 test-mlogloss:0.773995+0.031683
## [477] train-mlogloss:0.072484+0.001726 test-mlogloss:0.774366+0.031313
## [478] train-mlogloss:0.072259+0.001723 test-mlogloss:0.774372+0.031767
## [479] train-mlogloss:0.072011+0.001746 test-mlogloss:0.774597+0.031897
## [480] train-mlogloss:0.071807+0.001712 test-mlogloss:0.775143+0.032414
## [481] train-mlogloss:0.071577+0.001758 test-mlogloss:0.775715+0.032340
## [482] train-mlogloss:0.071413+0.001774 test-mlogloss:0.776352+0.032200
## [483] train-mlogloss:0.071210+0.001804 test-mlogloss:0.776413+0.032303
## [484] train-mlogloss:0.070964+0.001790 test-mlogloss:0.776558+0.032645
## [485] train-mlogloss:0.070785+0.001793 test-mlogloss:0.776856+0.032601
## [486] train-mlogloss:0.070574+0.001754 test-mlogloss:0.777425+0.032854
## [487] train-mlogloss:0.070308+0.001753 test-mlogloss:0.777901+0.033032
## [488] train-mlogloss:0.070139+0.001775 test-mlogloss:0.778530+0.033261
## [489] train-mlogloss:0.069976+0.001790 test-mlogloss:0.778959+0.033180
## [490] train-mlogloss:0.069725+0.001803 test-mlogloss:0.779073+0.033413
## [491] train-mlogloss:0.069568+0.001823 test-mlogloss:0.779383+0.033355
## [492] train-mlogloss:0.069348+0.001827 test-mlogloss:0.779738+0.033386
## [493] train-mlogloss:0.069196+0.001856 test-mlogloss:0.780316+0.033228
## [494] train-mlogloss:0.068965+0.001821 test-mlogloss:0.780391+0.032950
## [495] train-mlogloss:0.068749+0.001785 test-mlogloss:0.781170+0.032559
## [496] train-mlogloss:0.068604+0.001780 test-mlogloss:0.781521+0.032484
## [497] train-mlogloss:0.068422+0.001771 test-mlogloss:0.781495+0.032565
## [498] train-mlogloss:0.068230+0.001723 test-mlogloss:0.782211+0.032136
## [499] train-mlogloss:0.068080+0.001714 test-mlogloss:0.782788+0.031933
## [500] train-mlogloss:0.067891+0.001692 test-mlogloss:0.783007+0.032324
## [1] train-mlogloss:0.590263+0.001405 test-mlogloss:0.626919+0.001832
## [2] train-mlogloss:0.524900+0.001838 test-mlogloss:0.592462+0.002408
## [3] train-mlogloss:0.476493+0.002154 test-mlogloss:0.574566+0.002973
## [4] train-mlogloss:0.439326+0.002643 test-mlogloss:0.565013+0.004394
## [5] train-mlogloss:0.408916+0.002855 test-mlogloss:0.560930+0.005269
## [6] train-mlogloss:0.383107+0.002686 test-mlogloss:0.558969+0.005479
## [7] train-mlogloss:0.361779+0.002632 test-mlogloss:0.560219+0.005466
## [8] train-mlogloss:0.343055+0.001926 test-mlogloss:0.562398+0.006517
## [9] train-mlogloss:0.326344+0.002636 test-mlogloss:0.565311+0.007007
## [10] train-mlogloss:0.312095+0.002457 test-mlogloss:0.567518+0.006571
## [11] train-mlogloss:0.297841+0.002512 test-mlogloss:0.569820+0.005756
## [12] train-mlogloss:0.284969+0.002477 test-mlogloss:0.573676+0.004373
## [13] train-mlogloss:0.273196+0.001506 test-mlogloss:0.577280+0.004474
## [14] train-mlogloss:0.263132+0.002304 test-mlogloss:0.579096+0.004806
## [15] train-mlogloss:0.254222+0.002630 test-mlogloss:0.581834+0.004660
## [16] train-mlogloss:0.245497+0.002201 test-mlogloss:0.584259+0.005252
## [17] train-mlogloss:0.237111+0.001558 test-mlogloss:0.587471+0.006018
## [18] train-mlogloss:0.228609+0.001145 test-mlogloss:0.590813+0.006470
## [19] train-mlogloss:0.221610+0.001771 test-mlogloss:0.593029+0.006816
## [20] train-mlogloss:0.214065+0.001840 test-mlogloss:0.596065+0.006769
## [21] train-mlogloss:0.207206+0.001811 test-mlogloss:0.598813+0.006818
## [22] train-mlogloss:0.200638+0.001712 test-mlogloss:0.602145+0.007478
## [23] train-mlogloss:0.194464+0.001631 test-mlogloss:0.605187+0.008088
## [24] train-mlogloss:0.188312+0.001791 test-mlogloss:0.607556+0.008275
## [25] train-mlogloss:0.182936+0.001578 test-mlogloss:0.610395+0.009033
## [26] train-mlogloss:0.177626+0.001826 test-mlogloss:0.613452+0.009425
## [27] train-mlogloss:0.172509+0.001858 test-mlogloss:0.615160+0.008801
## [28] train-mlogloss:0.167273+0.001647 test-mlogloss:0.617292+0.009499
## [29] train-mlogloss:0.162339+0.001441 test-mlogloss:0.619867+0.008895
## [30] train-mlogloss:0.157649+0.001348 test-mlogloss:0.622421+0.009628
## [31] train-mlogloss:0.153663+0.001778 test-mlogloss:0.624152+0.010107
## [32] train-mlogloss:0.149330+0.001611 test-mlogloss:0.627182+0.010219
## [33] train-mlogloss:0.145489+0.001556 test-mlogloss:0.628703+0.010312
## [34] train-mlogloss:0.141825+0.001228 test-mlogloss:0.630648+0.010213
## [35] train-mlogloss:0.138258+0.001281 test-mlogloss:0.632872+0.009733
## [36] train-mlogloss:0.134865+0.001132 test-mlogloss:0.635224+0.010149
## [37] train-mlogloss:0.131599+0.001030 test-mlogloss:0.636863+0.010113
## [38] train-mlogloss:0.128709+0.000938 test-mlogloss:0.638995+0.010186
## [39] train-mlogloss:0.125789+0.000706 test-mlogloss:0.641266+0.010605
## [40] train-mlogloss:0.123015+0.000595 test-mlogloss:0.643153+0.010845
## [41] train-mlogloss:0.120391+0.000616 test-mlogloss:0.645996+0.011304
## [42] train-mlogloss:0.117899+0.000399 test-mlogloss:0.647754+0.011969
## [43] train-mlogloss:0.115293+0.000351 test-mlogloss:0.650333+0.011595
## [44] train-mlogloss:0.112923+0.000477 test-mlogloss:0.652584+0.011752
## [45] train-mlogloss:0.110660+0.000544 test-mlogloss:0.654947+0.012313
## [46] train-mlogloss:0.108415+0.000593 test-mlogloss:0.657037+0.012904
## [47] train-mlogloss:0.106217+0.000625 test-mlogloss:0.659057+0.013307
## [48] train-mlogloss:0.104307+0.000780 test-mlogloss:0.661620+0.014161
## [49] train-mlogloss:0.102239+0.000801 test-mlogloss:0.663305+0.013361
## [50] train-mlogloss:0.100323+0.000820 test-mlogloss:0.664254+0.013814
## [51] train-mlogloss:0.098398+0.000703 test-mlogloss:0.665723+0.013710
## [52] train-mlogloss:0.096650+0.000664 test-mlogloss:0.668732+0.013403
## [53] train-mlogloss:0.094911+0.000647 test-mlogloss:0.670864+0.012643
## [54] train-mlogloss:0.093321+0.000529 test-mlogloss:0.673373+0.012156
## [55] train-mlogloss:0.091656+0.000480 test-mlogloss:0.675348+0.011626
## [56] train-mlogloss:0.090090+0.000446 test-mlogloss:0.676779+0.011036
## [57] train-mlogloss:0.088526+0.000383 test-mlogloss:0.679155+0.011412
## [58] train-mlogloss:0.087054+0.000373 test-mlogloss:0.681407+0.011558
## [59] train-mlogloss:0.085802+0.000308 test-mlogloss:0.683428+0.011574
## [60] train-mlogloss:0.084534+0.000343 test-mlogloss:0.685346+0.012604
## [61] train-mlogloss:0.083185+0.000340 test-mlogloss:0.687597+0.012745
## [62] train-mlogloss:0.081865+0.000367 test-mlogloss:0.688652+0.013073
## [63] train-mlogloss:0.080707+0.000412 test-mlogloss:0.689927+0.013072
## [64] train-mlogloss:0.079469+0.000420 test-mlogloss:0.691025+0.012438
## [65] train-mlogloss:0.078333+0.000400 test-mlogloss:0.692188+0.012060
## [66] train-mlogloss:0.077187+0.000366 test-mlogloss:0.693820+0.012057
## [67] train-mlogloss:0.076069+0.000393 test-mlogloss:0.695523+0.012422
## [68] train-mlogloss:0.075016+0.000410 test-mlogloss:0.698003+0.012546
## [69] train-mlogloss:0.073956+0.000394 test-mlogloss:0.699321+0.012239
## [70] train-mlogloss:0.072947+0.000380 test-mlogloss:0.700664+0.012096
## [71] train-mlogloss:0.071953+0.000342 test-mlogloss:0.702029+0.012023
## [72] train-mlogloss:0.070992+0.000333 test-mlogloss:0.703783+0.013046
## [73] train-mlogloss:0.070060+0.000330 test-mlogloss:0.705107+0.013327
## [74] train-mlogloss:0.069191+0.000321 test-mlogloss:0.707411+0.013139
## [75] train-mlogloss:0.068311+0.000300 test-mlogloss:0.708751+0.013245
## [76] train-mlogloss:0.067441+0.000291 test-mlogloss:0.710520+0.012698
## [77] train-mlogloss:0.066634+0.000285 test-mlogloss:0.711702+0.012415
## [78] train-mlogloss:0.065821+0.000331 test-mlogloss:0.713564+0.011693
## [79] train-mlogloss:0.065020+0.000337 test-mlogloss:0.714559+0.011853
## [80] train-mlogloss:0.064239+0.000315 test-mlogloss:0.716308+0.011874
## [81] train-mlogloss:0.063511+0.000330 test-mlogloss:0.717783+0.011107
## [82] train-mlogloss:0.062802+0.000295 test-mlogloss:0.719374+0.011008
## [83] train-mlogloss:0.062085+0.000298 test-mlogloss:0.720994+0.011993
## [84] train-mlogloss:0.061405+0.000335 test-mlogloss:0.722098+0.012027
## [85] train-mlogloss:0.060697+0.000369 test-mlogloss:0.723629+0.011552
## [86] train-mlogloss:0.060015+0.000374 test-mlogloss:0.724868+0.011204
## [87] train-mlogloss:0.059375+0.000378 test-mlogloss:0.725386+0.010412
## [88] train-mlogloss:0.058748+0.000374 test-mlogloss:0.726818+0.010221
## [89] train-mlogloss:0.058099+0.000354 test-mlogloss:0.728512+0.010787
## [90] train-mlogloss:0.057499+0.000393 test-mlogloss:0.729423+0.009970
## [91] train-mlogloss:0.056939+0.000385 test-mlogloss:0.730414+0.009729
## [92] train-mlogloss:0.056406+0.000372 test-mlogloss:0.731502+0.009212
## [93] train-mlogloss:0.055841+0.000345 test-mlogloss:0.732647+0.009325
## [94] train-mlogloss:0.055312+0.000339 test-mlogloss:0.733440+0.008876
## [95] train-mlogloss:0.054777+0.000317 test-mlogloss:0.733856+0.009099
## [96] train-mlogloss:0.054248+0.000317 test-mlogloss:0.734754+0.008999
## [97] train-mlogloss:0.053726+0.000335 test-mlogloss:0.735918+0.008939
## [98] train-mlogloss:0.053212+0.000347 test-mlogloss:0.737078+0.008786
## [99] train-mlogloss:0.052685+0.000333 test-mlogloss:0.738726+0.009160
## [100] train-mlogloss:0.052176+0.000308 test-mlogloss:0.739634+0.009204
## [101] train-mlogloss:0.051723+0.000286 test-mlogloss:0.740485+0.009577
## [102] train-mlogloss:0.051235+0.000272 test-mlogloss:0.742025+0.009604
## [103] train-mlogloss:0.050765+0.000298 test-mlogloss:0.743261+0.009571
## [104] train-mlogloss:0.050328+0.000308 test-mlogloss:0.745125+0.009638
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## [106] train-mlogloss:0.049460+0.000317 test-mlogloss:0.747377+0.009555
## [107] train-mlogloss:0.049013+0.000311 test-mlogloss:0.747957+0.008904
## [108] train-mlogloss:0.048602+0.000305 test-mlogloss:0.749066+0.009153
## [109] train-mlogloss:0.048180+0.000311 test-mlogloss:0.749673+0.009281
## [110] train-mlogloss:0.047769+0.000307 test-mlogloss:0.750760+0.009584
## [111] train-mlogloss:0.047364+0.000300 test-mlogloss:0.751740+0.010270
## [112] train-mlogloss:0.046967+0.000268 test-mlogloss:0.752226+0.010320
## [113] train-mlogloss:0.046589+0.000237 test-mlogloss:0.753806+0.010508
## [114] train-mlogloss:0.046205+0.000217 test-mlogloss:0.754389+0.010437
## [115] train-mlogloss:0.045844+0.000216 test-mlogloss:0.755669+0.010419
## [116] train-mlogloss:0.045505+0.000208 test-mlogloss:0.756655+0.009957
## [117] train-mlogloss:0.045180+0.000200 test-mlogloss:0.757138+0.009415
## [118] train-mlogloss:0.044833+0.000209 test-mlogloss:0.757485+0.008579
## [119] train-mlogloss:0.044482+0.000232 test-mlogloss:0.758764+0.008696
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## [122] train-mlogloss:0.043489+0.000267 test-mlogloss:0.761118+0.009120
## [123] train-mlogloss:0.043162+0.000284 test-mlogloss:0.762189+0.009040
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## [125] train-mlogloss:0.042553+0.000299 test-mlogloss:0.762576+0.009485
## [126] train-mlogloss:0.042262+0.000301 test-mlogloss:0.763428+0.009418
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## [129] train-mlogloss:0.041436+0.000291 test-mlogloss:0.765595+0.009649
## [130] train-mlogloss:0.041174+0.000275 test-mlogloss:0.766372+0.009160
## [131] train-mlogloss:0.040901+0.000281 test-mlogloss:0.766823+0.009038
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## [138] train-mlogloss:0.039028+0.000245 test-mlogloss:0.774053+0.008769
## [139] train-mlogloss:0.038786+0.000237 test-mlogloss:0.775124+0.009316
## [140] train-mlogloss:0.038548+0.000230 test-mlogloss:0.775806+0.009437
## [141] train-mlogloss:0.038321+0.000239 test-mlogloss:0.776801+0.009190
## [142] train-mlogloss:0.038087+0.000232 test-mlogloss:0.777858+0.009022
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## [144] train-mlogloss:0.037620+0.000214 test-mlogloss:0.779866+0.008542
## [145] train-mlogloss:0.037398+0.000201 test-mlogloss:0.780662+0.008506
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## [152] train-mlogloss:0.035900+0.000165 test-mlogloss:0.785150+0.008036
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## [154] train-mlogloss:0.035499+0.000151 test-mlogloss:0.786070+0.007891
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## [157] train-mlogloss:0.034935+0.000178 test-mlogloss:0.788052+0.008484
## [158] train-mlogloss:0.034736+0.000180 test-mlogloss:0.788686+0.008424
## [159] train-mlogloss:0.034560+0.000184 test-mlogloss:0.789039+0.008002
## [160] train-mlogloss:0.034376+0.000179 test-mlogloss:0.790192+0.008238
## [161] train-mlogloss:0.034193+0.000170 test-mlogloss:0.790821+0.008569
## [162] train-mlogloss:0.034026+0.000161 test-mlogloss:0.791718+0.008758
## [163] train-mlogloss:0.033833+0.000147 test-mlogloss:0.792516+0.008568
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## [167] train-mlogloss:0.033147+0.000172 test-mlogloss:0.795345+0.007862
## [168] train-mlogloss:0.032985+0.000174 test-mlogloss:0.795882+0.008121
## [169] train-mlogloss:0.032822+0.000169 test-mlogloss:0.796627+0.008243
## [170] train-mlogloss:0.032663+0.000172 test-mlogloss:0.797274+0.008393
## [171] train-mlogloss:0.032499+0.000170 test-mlogloss:0.798516+0.008504
## [172] train-mlogloss:0.032342+0.000168 test-mlogloss:0.799185+0.008245
## [173] train-mlogloss:0.032189+0.000172 test-mlogloss:0.800050+0.008235
## [174] train-mlogloss:0.032026+0.000166 test-mlogloss:0.800346+0.008310
## [175] train-mlogloss:0.031861+0.000173 test-mlogloss:0.800951+0.008435
## [176] train-mlogloss:0.031715+0.000174 test-mlogloss:0.801147+0.007813
## [177] train-mlogloss:0.031580+0.000168 test-mlogloss:0.802171+0.007774
## [178] train-mlogloss:0.031437+0.000173 test-mlogloss:0.802611+0.007991
## [179] train-mlogloss:0.031291+0.000185 test-mlogloss:0.803676+0.007914
## [180] train-mlogloss:0.031146+0.000192 test-mlogloss:0.804572+0.007605
## [181] train-mlogloss:0.030991+0.000190 test-mlogloss:0.805449+0.007306
## [182] train-mlogloss:0.030845+0.000180 test-mlogloss:0.806587+0.007759
## [183] train-mlogloss:0.030712+0.000180 test-mlogloss:0.807768+0.007872
## [184] train-mlogloss:0.030588+0.000184 test-mlogloss:0.808261+0.007923
## [185] train-mlogloss:0.030449+0.000186 test-mlogloss:0.809353+0.007940
## [186] train-mlogloss:0.030314+0.000175 test-mlogloss:0.809731+0.008166
## [187] train-mlogloss:0.030180+0.000174 test-mlogloss:0.809939+0.007899
## [188] train-mlogloss:0.030047+0.000174 test-mlogloss:0.810399+0.007572
## [189] train-mlogloss:0.029927+0.000173 test-mlogloss:0.811039+0.007735
## [190] train-mlogloss:0.029792+0.000173 test-mlogloss:0.811954+0.008273
## [191] train-mlogloss:0.029664+0.000175 test-mlogloss:0.812784+0.008760
## [192] train-mlogloss:0.029535+0.000163 test-mlogloss:0.812792+0.008201
## [193] train-mlogloss:0.029416+0.000153 test-mlogloss:0.813310+0.007851
## [194] train-mlogloss:0.029288+0.000155 test-mlogloss:0.814035+0.007962
## [195] train-mlogloss:0.029163+0.000151 test-mlogloss:0.814607+0.008046
## [196] train-mlogloss:0.029037+0.000153 test-mlogloss:0.815298+0.007726
## [197] train-mlogloss:0.028910+0.000154 test-mlogloss:0.815924+0.007327
## [198] train-mlogloss:0.028804+0.000151 test-mlogloss:0.816812+0.007482
## [199] train-mlogloss:0.028689+0.000147 test-mlogloss:0.817131+0.007464
## [200] train-mlogloss:0.028574+0.000142 test-mlogloss:0.818113+0.007611
## [201] train-mlogloss:0.028460+0.000133 test-mlogloss:0.818573+0.007232
## [202] train-mlogloss:0.028332+0.000130 test-mlogloss:0.818707+0.006760
## [203] train-mlogloss:0.028210+0.000135 test-mlogloss:0.819334+0.006805
## [204] train-mlogloss:0.028104+0.000125 test-mlogloss:0.820142+0.006769
## [205] train-mlogloss:0.027998+0.000123 test-mlogloss:0.820499+0.006301
## [206] train-mlogloss:0.027883+0.000115 test-mlogloss:0.821640+0.006740
## [207] train-mlogloss:0.027778+0.000122 test-mlogloss:0.822239+0.006740
## [208] train-mlogloss:0.027677+0.000119 test-mlogloss:0.822684+0.006958
## [209] train-mlogloss:0.027585+0.000116 test-mlogloss:0.823028+0.006926
## [210] train-mlogloss:0.027477+0.000116 test-mlogloss:0.823515+0.006723
## [211] train-mlogloss:0.027376+0.000113 test-mlogloss:0.824117+0.006490
## [212] train-mlogloss:0.027266+0.000121 test-mlogloss:0.824774+0.006670
## [213] train-mlogloss:0.027171+0.000117 test-mlogloss:0.825510+0.006864
## [214] train-mlogloss:0.027068+0.000116 test-mlogloss:0.825908+0.006891
## [215] train-mlogloss:0.026958+0.000113 test-mlogloss:0.826935+0.007216
## [216] train-mlogloss:0.026855+0.000119 test-mlogloss:0.827673+0.007155
## [217] train-mlogloss:0.026749+0.000125 test-mlogloss:0.828417+0.007424
## [218] train-mlogloss:0.026648+0.000117 test-mlogloss:0.828718+0.007255
## [219] train-mlogloss:0.026545+0.000114 test-mlogloss:0.829247+0.007234
## [220] train-mlogloss:0.026449+0.000108 test-mlogloss:0.829475+0.006858
## [221] train-mlogloss:0.026360+0.000107 test-mlogloss:0.830076+0.006859
## [222] train-mlogloss:0.026268+0.000103 test-mlogloss:0.830328+0.007130
## [223] train-mlogloss:0.026168+0.000098 test-mlogloss:0.830887+0.007053
## [224] train-mlogloss:0.026078+0.000097 test-mlogloss:0.831800+0.006957
## [225] train-mlogloss:0.025980+0.000096 test-mlogloss:0.832084+0.007022
## [226] train-mlogloss:0.025894+0.000097 test-mlogloss:0.832409+0.007037
## [227] train-mlogloss:0.025799+0.000102 test-mlogloss:0.832835+0.007012
## [228] train-mlogloss:0.025714+0.000106 test-mlogloss:0.832938+0.006918
## [229] train-mlogloss:0.025617+0.000097 test-mlogloss:0.833561+0.007229
## [230] train-mlogloss:0.025523+0.000092 test-mlogloss:0.834494+0.007253
## [231] train-mlogloss:0.025442+0.000088 test-mlogloss:0.834758+0.007359
## [232] train-mlogloss:0.025352+0.000085 test-mlogloss:0.835333+0.007426
## [233] train-mlogloss:0.025261+0.000079 test-mlogloss:0.835720+0.007708
## [234] train-mlogloss:0.025178+0.000074 test-mlogloss:0.836135+0.007744
## [235] train-mlogloss:0.025086+0.000062 test-mlogloss:0.836564+0.007692
## [236] train-mlogloss:0.025004+0.000057 test-mlogloss:0.837067+0.007726
## [237] train-mlogloss:0.024918+0.000052 test-mlogloss:0.837746+0.007624
## [238] train-mlogloss:0.024833+0.000065 test-mlogloss:0.838042+0.007690
## [239] train-mlogloss:0.024748+0.000067 test-mlogloss:0.838401+0.007559
## [240] train-mlogloss:0.024672+0.000072 test-mlogloss:0.838620+0.007657
## [241] train-mlogloss:0.024586+0.000067 test-mlogloss:0.839286+0.007542
## [242] train-mlogloss:0.024509+0.000067 test-mlogloss:0.839698+0.007664
## [243] train-mlogloss:0.024424+0.000066 test-mlogloss:0.840232+0.007715
## [244] train-mlogloss:0.024338+0.000065 test-mlogloss:0.840997+0.007081
## [245] train-mlogloss:0.024263+0.000071 test-mlogloss:0.841217+0.006802
## [246] train-mlogloss:0.024187+0.000065 test-mlogloss:0.841584+0.006557
## [247] train-mlogloss:0.024110+0.000069 test-mlogloss:0.841947+0.006366
## [248] train-mlogloss:0.024039+0.000070 test-mlogloss:0.842534+0.006280
## [249] train-mlogloss:0.023963+0.000070 test-mlogloss:0.843300+0.006585
## [250] train-mlogloss:0.023889+0.000073 test-mlogloss:0.843956+0.006562
## [251] train-mlogloss:0.023817+0.000070 test-mlogloss:0.844312+0.006614
## [252] train-mlogloss:0.023734+0.000072 test-mlogloss:0.844882+0.006681
## [253] train-mlogloss:0.023670+0.000071 test-mlogloss:0.845263+0.006553
## [254] train-mlogloss:0.023599+0.000071 test-mlogloss:0.845621+0.006821
## [255] train-mlogloss:0.023526+0.000064 test-mlogloss:0.846030+0.007095
## [256] train-mlogloss:0.023456+0.000066 test-mlogloss:0.846421+0.006940
## [257] train-mlogloss:0.023383+0.000067 test-mlogloss:0.846859+0.006762
## [258] train-mlogloss:0.023313+0.000065 test-mlogloss:0.847210+0.006965
## [259] train-mlogloss:0.023242+0.000064 test-mlogloss:0.847747+0.006776
## [260] train-mlogloss:0.023170+0.000066 test-mlogloss:0.848700+0.006703
## [261] train-mlogloss:0.023102+0.000066 test-mlogloss:0.848698+0.006669
## [262] train-mlogloss:0.023038+0.000064 test-mlogloss:0.849232+0.006656
## [263] train-mlogloss:0.022968+0.000058 test-mlogloss:0.850102+0.006729
## [264] train-mlogloss:0.022904+0.000062 test-mlogloss:0.850655+0.006807
## [265] train-mlogloss:0.022838+0.000064 test-mlogloss:0.851069+0.006908
## [266] train-mlogloss:0.022770+0.000068 test-mlogloss:0.851153+0.007575
## [267] train-mlogloss:0.022698+0.000061 test-mlogloss:0.851612+0.007607
## [268] train-mlogloss:0.022627+0.000065 test-mlogloss:0.852085+0.008161
## [269] train-mlogloss:0.022563+0.000066 test-mlogloss:0.852804+0.007811
## [270] train-mlogloss:0.022501+0.000062 test-mlogloss:0.853126+0.007358
## [271] train-mlogloss:0.022437+0.000066 test-mlogloss:0.853191+0.007462
## [272] train-mlogloss:0.022376+0.000069 test-mlogloss:0.853556+0.007116
## [273] train-mlogloss:0.022312+0.000072 test-mlogloss:0.854004+0.007428
## [274] train-mlogloss:0.022247+0.000071 test-mlogloss:0.854027+0.007326
## [275] train-mlogloss:0.022188+0.000074 test-mlogloss:0.854504+0.006885
## [276] train-mlogloss:0.022125+0.000082 test-mlogloss:0.854882+0.006904
## [277] train-mlogloss:0.022068+0.000073 test-mlogloss:0.855010+0.006921
## [278] train-mlogloss:0.022006+0.000073 test-mlogloss:0.855255+0.007117
## [279] train-mlogloss:0.021948+0.000074 test-mlogloss:0.855702+0.007193
## [280] train-mlogloss:0.021888+0.000073 test-mlogloss:0.856215+0.006920
## [281] train-mlogloss:0.021831+0.000070 test-mlogloss:0.857008+0.006831
## [282] train-mlogloss:0.021772+0.000073 test-mlogloss:0.857320+0.006312
## [283] train-mlogloss:0.021711+0.000071 test-mlogloss:0.857695+0.006345
## [284] train-mlogloss:0.021654+0.000069 test-mlogloss:0.858350+0.006409
## [285] train-mlogloss:0.021590+0.000062 test-mlogloss:0.858388+0.006568
## [286] train-mlogloss:0.021542+0.000066 test-mlogloss:0.858679+0.006443
## [287] train-mlogloss:0.021486+0.000066 test-mlogloss:0.858735+0.006755
## [288] train-mlogloss:0.021426+0.000066 test-mlogloss:0.859548+0.006757
## [289] train-mlogloss:0.021370+0.000064 test-mlogloss:0.859358+0.006674
## [290] train-mlogloss:0.021313+0.000065 test-mlogloss:0.859745+0.006455
## [291] train-mlogloss:0.021261+0.000062 test-mlogloss:0.860337+0.006438
## [292] train-mlogloss:0.021204+0.000060 test-mlogloss:0.860481+0.006379
## [293] train-mlogloss:0.021155+0.000059 test-mlogloss:0.860928+0.006298
## [294] train-mlogloss:0.021106+0.000059 test-mlogloss:0.861671+0.006230
## [295] train-mlogloss:0.021050+0.000061 test-mlogloss:0.862222+0.006315
## [296] train-mlogloss:0.020993+0.000064 test-mlogloss:0.862454+0.006754
## [297] train-mlogloss:0.020937+0.000070 test-mlogloss:0.862669+0.006493
## [298] train-mlogloss:0.020880+0.000069 test-mlogloss:0.863332+0.006524
## [299] train-mlogloss:0.020824+0.000071 test-mlogloss:0.863751+0.006336
## [300] train-mlogloss:0.020776+0.000073 test-mlogloss:0.864326+0.006352
## [301] train-mlogloss:0.020719+0.000069 test-mlogloss:0.864693+0.006441
## [302] train-mlogloss:0.020674+0.000067 test-mlogloss:0.864885+0.006413
## [303] train-mlogloss:0.020625+0.000068 test-mlogloss:0.865728+0.006270
## [304] train-mlogloss:0.020576+0.000067 test-mlogloss:0.866345+0.006239
## [305] train-mlogloss:0.020521+0.000068 test-mlogloss:0.867031+0.006165
## [306] train-mlogloss:0.020468+0.000069 test-mlogloss:0.867417+0.006018
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## [308] train-mlogloss:0.020370+0.000070 test-mlogloss:0.867718+0.006384
## [309] train-mlogloss:0.020322+0.000077 test-mlogloss:0.868258+0.006456
## [310] train-mlogloss:0.020275+0.000078 test-mlogloss:0.868400+0.006509
## [311] train-mlogloss:0.020229+0.000081 test-mlogloss:0.868797+0.007077
## [312] train-mlogloss:0.020184+0.000082 test-mlogloss:0.868598+0.007201
## [313] train-mlogloss:0.020138+0.000082 test-mlogloss:0.868671+0.007248
## [314] train-mlogloss:0.020091+0.000084 test-mlogloss:0.869145+0.007607
## [315] train-mlogloss:0.020044+0.000083 test-mlogloss:0.869638+0.007120
## [316] train-mlogloss:0.019998+0.000080 test-mlogloss:0.869999+0.006990
## [317] train-mlogloss:0.019950+0.000073 test-mlogloss:0.870348+0.006821
## [318] train-mlogloss:0.019904+0.000077 test-mlogloss:0.870808+0.007055
## [319] train-mlogloss:0.019861+0.000077 test-mlogloss:0.871272+0.007143
## [320] train-mlogloss:0.019816+0.000074 test-mlogloss:0.871165+0.006803
## [321] train-mlogloss:0.019767+0.000077 test-mlogloss:0.871371+0.006697
## [322] train-mlogloss:0.019728+0.000073 test-mlogloss:0.871955+0.006235
## [323] train-mlogloss:0.019684+0.000075 test-mlogloss:0.871981+0.006561
## [324] train-mlogloss:0.019638+0.000074 test-mlogloss:0.872189+0.006698
## [325] train-mlogloss:0.019598+0.000070 test-mlogloss:0.872189+0.006763
## [326] train-mlogloss:0.019554+0.000066 test-mlogloss:0.872359+0.006945
## [327] train-mlogloss:0.019509+0.000070 test-mlogloss:0.872414+0.006928
## [328] train-mlogloss:0.019470+0.000070 test-mlogloss:0.872725+0.006627
## [329] train-mlogloss:0.019430+0.000071 test-mlogloss:0.872967+0.006678
## [330] train-mlogloss:0.019387+0.000069 test-mlogloss:0.873384+0.006909
## [331] train-mlogloss:0.019348+0.000072 test-mlogloss:0.873605+0.007148
## [332] train-mlogloss:0.019303+0.000071 test-mlogloss:0.874399+0.007353
## [333] train-mlogloss:0.019262+0.000073 test-mlogloss:0.874568+0.007224
## [334] train-mlogloss:0.019218+0.000071 test-mlogloss:0.874639+0.007460
## [335] train-mlogloss:0.019174+0.000070 test-mlogloss:0.875003+0.007565
## [336] train-mlogloss:0.019135+0.000070 test-mlogloss:0.875608+0.007633
## [337] train-mlogloss:0.019096+0.000071 test-mlogloss:0.876098+0.007959
## [338] train-mlogloss:0.019055+0.000068 test-mlogloss:0.876645+0.007502
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## [340] train-mlogloss:0.018971+0.000070 test-mlogloss:0.877345+0.007839
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## [343] train-mlogloss:0.018848+0.000071 test-mlogloss:0.878076+0.008224
## [344] train-mlogloss:0.018805+0.000070 test-mlogloss:0.878642+0.007933
## [345] train-mlogloss:0.018764+0.000073 test-mlogloss:0.879088+0.007804
## [346] train-mlogloss:0.018725+0.000065 test-mlogloss:0.879406+0.007569
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## [349] train-mlogloss:0.018608+0.000066 test-mlogloss:0.880310+0.007868
## [350] train-mlogloss:0.018571+0.000064 test-mlogloss:0.880246+0.007522
## [351] train-mlogloss:0.018531+0.000061 test-mlogloss:0.880460+0.007565
## [352] train-mlogloss:0.018496+0.000061 test-mlogloss:0.880617+0.007420
## [353] train-mlogloss:0.018458+0.000062 test-mlogloss:0.880653+0.007351
## [354] train-mlogloss:0.018418+0.000065 test-mlogloss:0.880738+0.007788
## [355] train-mlogloss:0.018378+0.000065 test-mlogloss:0.880806+0.007671
## [356] train-mlogloss:0.018344+0.000063 test-mlogloss:0.881353+0.007651
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## [358] train-mlogloss:0.018271+0.000061 test-mlogloss:0.881826+0.007253
## [359] train-mlogloss:0.018233+0.000061 test-mlogloss:0.882030+0.007237
## [360] train-mlogloss:0.018197+0.000064 test-mlogloss:0.882445+0.006857
## [361] train-mlogloss:0.018165+0.000066 test-mlogloss:0.882896+0.006879
## [362] train-mlogloss:0.018123+0.000064 test-mlogloss:0.883176+0.006900
## [363] train-mlogloss:0.018088+0.000066 test-mlogloss:0.883420+0.006904
## [364] train-mlogloss:0.018050+0.000060 test-mlogloss:0.883887+0.006766
## [365] train-mlogloss:0.018014+0.000066 test-mlogloss:0.884095+0.006594
## [366] train-mlogloss:0.017977+0.000065 test-mlogloss:0.884922+0.006867
## [367] train-mlogloss:0.017942+0.000066 test-mlogloss:0.884959+0.006833
## [368] train-mlogloss:0.017910+0.000064 test-mlogloss:0.885125+0.006880
## [369] train-mlogloss:0.017872+0.000063 test-mlogloss:0.885528+0.007133
## [370] train-mlogloss:0.017836+0.000063 test-mlogloss:0.885910+0.007408
## [371] train-mlogloss:0.017802+0.000068 test-mlogloss:0.886082+0.007410
## [372] train-mlogloss:0.017768+0.000068 test-mlogloss:0.886330+0.007500
## [373] train-mlogloss:0.017734+0.000068 test-mlogloss:0.886963+0.007342
## [374] train-mlogloss:0.017698+0.000073 test-mlogloss:0.887046+0.007048
## [375] train-mlogloss:0.017661+0.000074 test-mlogloss:0.887510+0.007182
## [376] train-mlogloss:0.017628+0.000074 test-mlogloss:0.887611+0.007091
## [377] train-mlogloss:0.017592+0.000078 test-mlogloss:0.888040+0.007099
## [378] train-mlogloss:0.017564+0.000076 test-mlogloss:0.888278+0.006830
## [379] train-mlogloss:0.017528+0.000073 test-mlogloss:0.888909+0.006982
## [380] train-mlogloss:0.017492+0.000073 test-mlogloss:0.888962+0.006800
## [381] train-mlogloss:0.017454+0.000075 test-mlogloss:0.889070+0.006543
## [382] train-mlogloss:0.017419+0.000074 test-mlogloss:0.889519+0.006692
## [383] train-mlogloss:0.017387+0.000073 test-mlogloss:0.889827+0.006597
## [384] train-mlogloss:0.017354+0.000077 test-mlogloss:0.890182+0.006564
## [385] train-mlogloss:0.017323+0.000078 test-mlogloss:0.890014+0.006349
## [386] train-mlogloss:0.017290+0.000081 test-mlogloss:0.890494+0.006467
## [387] train-mlogloss:0.017256+0.000080 test-mlogloss:0.890609+0.006527
## [388] train-mlogloss:0.017225+0.000081 test-mlogloss:0.890826+0.006434
## [389] train-mlogloss:0.017194+0.000081 test-mlogloss:0.891556+0.006677
## [390] train-mlogloss:0.017164+0.000078 test-mlogloss:0.891723+0.006601
## [391] train-mlogloss:0.017133+0.000080 test-mlogloss:0.892234+0.006766
## [392] train-mlogloss:0.017101+0.000080 test-mlogloss:0.892354+0.006393
## [393] train-mlogloss:0.017072+0.000079 test-mlogloss:0.892524+0.006620
## [394] train-mlogloss:0.017039+0.000082 test-mlogloss:0.892362+0.006700
## [395] train-mlogloss:0.017007+0.000081 test-mlogloss:0.892437+0.006726
## [396] train-mlogloss:0.016976+0.000082 test-mlogloss:0.892678+0.006564
## [397] train-mlogloss:0.016944+0.000088 test-mlogloss:0.893213+0.007089
## [398] train-mlogloss:0.016914+0.000087 test-mlogloss:0.894012+0.007131
## [399] train-mlogloss:0.016886+0.000087 test-mlogloss:0.894098+0.007330
## [400] train-mlogloss:0.016855+0.000082 test-mlogloss:0.894695+0.007671
## [401] train-mlogloss:0.016826+0.000083 test-mlogloss:0.894948+0.007551
## [402] train-mlogloss:0.016798+0.000085 test-mlogloss:0.895282+0.007717
## [403] train-mlogloss:0.016770+0.000086 test-mlogloss:0.895147+0.007359
## [404] train-mlogloss:0.016738+0.000087 test-mlogloss:0.895840+0.007176
## [405] train-mlogloss:0.016711+0.000082 test-mlogloss:0.895720+0.007372
## [406] train-mlogloss:0.016679+0.000083 test-mlogloss:0.896132+0.007269
## [407] train-mlogloss:0.016649+0.000081 test-mlogloss:0.896596+0.007096
## [408] train-mlogloss:0.016623+0.000080 test-mlogloss:0.896952+0.007474
## [409] train-mlogloss:0.016596+0.000081 test-mlogloss:0.896716+0.007379
## [410] train-mlogloss:0.016568+0.000081 test-mlogloss:0.897061+0.007281
## [411] train-mlogloss:0.016540+0.000083 test-mlogloss:0.897357+0.007132
## [412] train-mlogloss:0.016512+0.000083 test-mlogloss:0.897596+0.007008
## [413] train-mlogloss:0.016485+0.000085 test-mlogloss:0.897752+0.006945
## [414] train-mlogloss:0.016461+0.000085 test-mlogloss:0.897937+0.007185
## [415] train-mlogloss:0.016432+0.000085 test-mlogloss:0.898505+0.007207
## [416] train-mlogloss:0.016404+0.000086 test-mlogloss:0.898739+0.007064
## [417] train-mlogloss:0.016373+0.000089 test-mlogloss:0.899018+0.007189
## [418] train-mlogloss:0.016348+0.000086 test-mlogloss:0.899270+0.007346
## [419] train-mlogloss:0.016323+0.000085 test-mlogloss:0.899606+0.007338
## [420] train-mlogloss:0.016297+0.000082 test-mlogloss:0.899785+0.007749
## [421] train-mlogloss:0.016273+0.000082 test-mlogloss:0.899770+0.007927
## [422] train-mlogloss:0.016248+0.000083 test-mlogloss:0.900216+0.008126
## [423] train-mlogloss:0.016221+0.000079 test-mlogloss:0.900485+0.008003
## [424] train-mlogloss:0.016197+0.000080 test-mlogloss:0.900817+0.008341
## [425] train-mlogloss:0.016172+0.000081 test-mlogloss:0.900814+0.008081
## [426] train-mlogloss:0.016148+0.000080 test-mlogloss:0.900795+0.008027
## [427] train-mlogloss:0.016123+0.000079 test-mlogloss:0.900852+0.008160
## [428] train-mlogloss:0.016100+0.000082 test-mlogloss:0.901268+0.007959
## [429] train-mlogloss:0.016072+0.000082 test-mlogloss:0.901618+0.007794
## [430] train-mlogloss:0.016044+0.000080 test-mlogloss:0.901643+0.008213
## [431] train-mlogloss:0.016019+0.000082 test-mlogloss:0.901735+0.008300
## [432] train-mlogloss:0.015994+0.000081 test-mlogloss:0.901775+0.008169
## [433] train-mlogloss:0.015971+0.000082 test-mlogloss:0.901910+0.008308
## [434] train-mlogloss:0.015946+0.000087 test-mlogloss:0.902092+0.008024
## [435] train-mlogloss:0.015919+0.000085 test-mlogloss:0.902140+0.008337
## [436] train-mlogloss:0.015894+0.000083 test-mlogloss:0.902421+0.008429
## [437] train-mlogloss:0.015867+0.000080 test-mlogloss:0.902375+0.008035
## [438] train-mlogloss:0.015841+0.000082 test-mlogloss:0.902723+0.008099
## [439] train-mlogloss:0.015817+0.000082 test-mlogloss:0.903237+0.007863
## [440] train-mlogloss:0.015791+0.000080 test-mlogloss:0.903471+0.008195
## [441] train-mlogloss:0.015766+0.000079 test-mlogloss:0.903618+0.008144
## [442] train-mlogloss:0.015739+0.000080 test-mlogloss:0.903686+0.008093
## [443] train-mlogloss:0.015718+0.000082 test-mlogloss:0.904150+0.007955
## [444] train-mlogloss:0.015695+0.000083 test-mlogloss:0.904670+0.007953
## [445] train-mlogloss:0.015673+0.000083 test-mlogloss:0.904695+0.007921
## [446] train-mlogloss:0.015650+0.000082 test-mlogloss:0.905102+0.007945
## [447] train-mlogloss:0.015625+0.000082 test-mlogloss:0.905051+0.008233
## [448] train-mlogloss:0.015600+0.000080 test-mlogloss:0.905445+0.008268
## [449] train-mlogloss:0.015576+0.000079 test-mlogloss:0.905382+0.007810
## [450] train-mlogloss:0.015552+0.000079 test-mlogloss:0.905803+0.007882
## [451] train-mlogloss:0.015530+0.000081 test-mlogloss:0.906041+0.007614
## [452] train-mlogloss:0.015513+0.000079 test-mlogloss:0.906301+0.007724
## [453] train-mlogloss:0.015488+0.000078 test-mlogloss:0.905962+0.007806
## [454] train-mlogloss:0.015464+0.000079 test-mlogloss:0.906132+0.007797
## [455] train-mlogloss:0.015443+0.000076 test-mlogloss:0.906155+0.007880
## [456] train-mlogloss:0.015418+0.000073 test-mlogloss:0.906419+0.007816
## [457] train-mlogloss:0.015393+0.000072 test-mlogloss:0.906554+0.007770
## [458] train-mlogloss:0.015368+0.000074 test-mlogloss:0.906870+0.007819
## [459] train-mlogloss:0.015341+0.000071 test-mlogloss:0.907266+0.007687
## [460] train-mlogloss:0.015318+0.000069 test-mlogloss:0.907646+0.007642
## [461] train-mlogloss:0.015297+0.000071 test-mlogloss:0.908044+0.008036
## [462] train-mlogloss:0.015275+0.000069 test-mlogloss:0.908272+0.007717
## [463] train-mlogloss:0.015253+0.000068 test-mlogloss:0.908878+0.007844
## [464] train-mlogloss:0.015230+0.000069 test-mlogloss:0.908838+0.007962
## [465] train-mlogloss:0.015204+0.000067 test-mlogloss:0.909062+0.008201
## [466] train-mlogloss:0.015180+0.000071 test-mlogloss:0.909450+0.008377
## [467] train-mlogloss:0.015162+0.000071 test-mlogloss:0.909702+0.008456
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## [469] train-mlogloss:0.015113+0.000073 test-mlogloss:0.910053+0.008567
## [470] train-mlogloss:0.015090+0.000074 test-mlogloss:0.909992+0.009221
## [471] train-mlogloss:0.015065+0.000075 test-mlogloss:0.910396+0.008862
## [472] train-mlogloss:0.015044+0.000078 test-mlogloss:0.910751+0.008769
## [473] train-mlogloss:0.015019+0.000080 test-mlogloss:0.910934+0.008864
## [474] train-mlogloss:0.014998+0.000083 test-mlogloss:0.911749+0.008886
## [475] train-mlogloss:0.014979+0.000083 test-mlogloss:0.912203+0.009104
## [476] train-mlogloss:0.014960+0.000082 test-mlogloss:0.912312+0.009160
## [477] train-mlogloss:0.014940+0.000084 test-mlogloss:0.912929+0.008901
## [478] train-mlogloss:0.014918+0.000084 test-mlogloss:0.912834+0.009490
## [479] train-mlogloss:0.014898+0.000081 test-mlogloss:0.912903+0.009425
## [480] train-mlogloss:0.014881+0.000080 test-mlogloss:0.912897+0.009447
## [481] train-mlogloss:0.014859+0.000086 test-mlogloss:0.913463+0.009240
## [482] train-mlogloss:0.014837+0.000085 test-mlogloss:0.913680+0.009300
## [483] train-mlogloss:0.014815+0.000086 test-mlogloss:0.913880+0.009205
## [484] train-mlogloss:0.014792+0.000086 test-mlogloss:0.914218+0.008999
## [485] train-mlogloss:0.014772+0.000084 test-mlogloss:0.914783+0.008884
## [486] train-mlogloss:0.014753+0.000085 test-mlogloss:0.914870+0.009059
## [487] train-mlogloss:0.014734+0.000085 test-mlogloss:0.915022+0.008848
## [488] train-mlogloss:0.014715+0.000088 test-mlogloss:0.915342+0.009117
## [489] train-mlogloss:0.014692+0.000090 test-mlogloss:0.915323+0.008818
## [490] train-mlogloss:0.014673+0.000093 test-mlogloss:0.915341+0.008744
## [491] train-mlogloss:0.014651+0.000092 test-mlogloss:0.915378+0.008695
## [492] train-mlogloss:0.014631+0.000096 test-mlogloss:0.915709+0.008328
## [493] train-mlogloss:0.014608+0.000098 test-mlogloss:0.915807+0.008182
## [494] train-mlogloss:0.014586+0.000099 test-mlogloss:0.916133+0.008315
## [495] train-mlogloss:0.014565+0.000098 test-mlogloss:0.916442+0.008243
## [496] train-mlogloss:0.014543+0.000098 test-mlogloss:0.916684+0.008501
## [497] train-mlogloss:0.014525+0.000100 test-mlogloss:0.917111+0.008463
## [498] train-mlogloss:0.014504+0.000097 test-mlogloss:0.917126+0.008584
## [499] train-mlogloss:0.014484+0.000095 test-mlogloss:0.917714+0.008597
## [500] train-mlogloss:0.014464+0.000094 test-mlogloss:0.917869+0.008808
## [1] train-mlogloss:0.537719+0.002822 test-mlogloss:0.555377+0.008447
## [2] train-mlogloss:0.509800+0.003238 test-mlogloss:0.540406+0.011954
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## [8] train-mlogloss:0.462376+0.005195 test-mlogloss:0.556736+0.013465
## [9] train-mlogloss:0.455280+0.004326 test-mlogloss:0.561073+0.012058
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## [11] train-mlogloss:0.442888+0.006802 test-mlogloss:0.569665+0.016665
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## [21] train-mlogloss:0.392436+0.006481 test-mlogloss:0.594848+0.021843
## [22] train-mlogloss:0.388265+0.007367 test-mlogloss:0.599223+0.023039
## [23] train-mlogloss:0.382330+0.006910 test-mlogloss:0.602733+0.025148
## [24] train-mlogloss:0.377521+0.006636 test-mlogloss:0.604222+0.025751
## [25] train-mlogloss:0.371805+0.006550 test-mlogloss:0.609148+0.027320
## [26] train-mlogloss:0.367474+0.006103 test-mlogloss:0.613395+0.026413
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## [30] train-mlogloss:0.350492+0.007058 test-mlogloss:0.625277+0.029197
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## [33] train-mlogloss:0.337588+0.006625 test-mlogloss:0.634438+0.029922
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## [37] train-mlogloss:0.321947+0.005793 test-mlogloss:0.646044+0.033455
## [38] train-mlogloss:0.317384+0.005946 test-mlogloss:0.648553+0.034834
## [39] train-mlogloss:0.312999+0.005650 test-mlogloss:0.651817+0.034990
## [40] train-mlogloss:0.309569+0.005384 test-mlogloss:0.654063+0.035713
## [41] train-mlogloss:0.305898+0.005520 test-mlogloss:0.655706+0.035475
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## [43] train-mlogloss:0.299298+0.004849 test-mlogloss:0.662910+0.035664
## [44] train-mlogloss:0.295502+0.005185 test-mlogloss:0.666957+0.037860
## [45] train-mlogloss:0.292163+0.005442 test-mlogloss:0.669582+0.038521
## [46] train-mlogloss:0.288772+0.005517 test-mlogloss:0.672508+0.038581
## [47] train-mlogloss:0.285619+0.005386 test-mlogloss:0.674862+0.038538
## [48] train-mlogloss:0.282224+0.005867 test-mlogloss:0.676828+0.039410
## [49] train-mlogloss:0.279463+0.005796 test-mlogloss:0.678372+0.039407
## [50] train-mlogloss:0.275927+0.006438 test-mlogloss:0.680315+0.037897
## [51] train-mlogloss:0.272301+0.006689 test-mlogloss:0.683607+0.037291
## [52] train-mlogloss:0.268610+0.006426 test-mlogloss:0.685835+0.037873
## [53] train-mlogloss:0.265038+0.006076 test-mlogloss:0.688515+0.038535
## [54] train-mlogloss:0.261797+0.005868 test-mlogloss:0.689631+0.036468
## [55] train-mlogloss:0.259028+0.005813 test-mlogloss:0.692075+0.034933
## [56] train-mlogloss:0.255572+0.005453 test-mlogloss:0.695454+0.034092
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## [58] train-mlogloss:0.249620+0.004885 test-mlogloss:0.699881+0.034334
## [59] train-mlogloss:0.246779+0.004913 test-mlogloss:0.700734+0.034370
## [60] train-mlogloss:0.243887+0.004721 test-mlogloss:0.702950+0.033864
## [61] train-mlogloss:0.241629+0.004754 test-mlogloss:0.704154+0.033740
## [62] train-mlogloss:0.238819+0.004875 test-mlogloss:0.705912+0.035209
## [63] train-mlogloss:0.235839+0.004765 test-mlogloss:0.707037+0.036210
## [64] train-mlogloss:0.232549+0.005175 test-mlogloss:0.709945+0.036713
## [65] train-mlogloss:0.229754+0.005482 test-mlogloss:0.711641+0.038657
## [66] train-mlogloss:0.227011+0.005539 test-mlogloss:0.714090+0.037953
## [67] train-mlogloss:0.224132+0.005824 test-mlogloss:0.716200+0.038205
## [68] train-mlogloss:0.221489+0.005516 test-mlogloss:0.719508+0.036995
## [69] train-mlogloss:0.219280+0.005630 test-mlogloss:0.723166+0.035670
## [70] train-mlogloss:0.217059+0.005627 test-mlogloss:0.723921+0.035993
## [71] train-mlogloss:0.214483+0.005760 test-mlogloss:0.727237+0.035794
## [72] train-mlogloss:0.212071+0.006037 test-mlogloss:0.730376+0.036400
## [73] train-mlogloss:0.209426+0.005982 test-mlogloss:0.731970+0.036836
## [74] train-mlogloss:0.207143+0.005519 test-mlogloss:0.732700+0.037072
## [75] train-mlogloss:0.204596+0.005632 test-mlogloss:0.734785+0.037923
## [76] train-mlogloss:0.202656+0.005461 test-mlogloss:0.736675+0.038851
## [77] train-mlogloss:0.199134+0.005438 test-mlogloss:0.739487+0.038744
## [78] train-mlogloss:0.197189+0.005144 test-mlogloss:0.741428+0.039737
## [79] train-mlogloss:0.194746+0.005185 test-mlogloss:0.744435+0.040154
## [80] train-mlogloss:0.192445+0.005059 test-mlogloss:0.746977+0.041484
## [81] train-mlogloss:0.190270+0.005118 test-mlogloss:0.748468+0.039269
## [82] train-mlogloss:0.188537+0.004981 test-mlogloss:0.751542+0.040606
## [83] train-mlogloss:0.186148+0.005072 test-mlogloss:0.756576+0.041368
## [84] train-mlogloss:0.184188+0.005391 test-mlogloss:0.758654+0.041178
## [85] train-mlogloss:0.182279+0.005615 test-mlogloss:0.760742+0.040224
## [86] train-mlogloss:0.179804+0.005502 test-mlogloss:0.762642+0.042145
## [87] train-mlogloss:0.178346+0.005492 test-mlogloss:0.765245+0.042643
## [88] train-mlogloss:0.176331+0.005018 test-mlogloss:0.767232+0.042108
## [89] train-mlogloss:0.174823+0.005027 test-mlogloss:0.767733+0.041818
## [90] train-mlogloss:0.173486+0.005307 test-mlogloss:0.769225+0.043090
## [91] train-mlogloss:0.171600+0.005308 test-mlogloss:0.770009+0.042250
## [92] train-mlogloss:0.169302+0.005591 test-mlogloss:0.771532+0.042991
## [93] train-mlogloss:0.167154+0.005628 test-mlogloss:0.772799+0.042892
## [94] train-mlogloss:0.165125+0.005769 test-mlogloss:0.774841+0.040504
## [95] train-mlogloss:0.163522+0.005746 test-mlogloss:0.776080+0.040700
## [96] train-mlogloss:0.161571+0.005839 test-mlogloss:0.778537+0.040212
## [97] train-mlogloss:0.160005+0.005836 test-mlogloss:0.779630+0.039591
## [98] train-mlogloss:0.158016+0.005962 test-mlogloss:0.781410+0.039842
## [99] train-mlogloss:0.156143+0.005743 test-mlogloss:0.782009+0.039954
## [100] train-mlogloss:0.154845+0.005654 test-mlogloss:0.783353+0.039978
## [101] train-mlogloss:0.153107+0.005812 test-mlogloss:0.786274+0.040142
## [102] train-mlogloss:0.151528+0.005563 test-mlogloss:0.787030+0.040098
## [103] train-mlogloss:0.149658+0.005532 test-mlogloss:0.791572+0.039210
## [104] train-mlogloss:0.147866+0.005399 test-mlogloss:0.792787+0.039340
## [105] train-mlogloss:0.146461+0.005189 test-mlogloss:0.793680+0.039597
## [106] train-mlogloss:0.144963+0.005263 test-mlogloss:0.795173+0.041956
## [107] train-mlogloss:0.143466+0.005177 test-mlogloss:0.796815+0.040431
## [108] train-mlogloss:0.141979+0.005056 test-mlogloss:0.797957+0.041972
## [109] train-mlogloss:0.140557+0.004615 test-mlogloss:0.798912+0.042210
## [110] train-mlogloss:0.139097+0.004786 test-mlogloss:0.800274+0.041735
## [111] train-mlogloss:0.137632+0.004874 test-mlogloss:0.802190+0.042510
## [112] train-mlogloss:0.136149+0.004595 test-mlogloss:0.805388+0.041823
## [113] train-mlogloss:0.134737+0.004407 test-mlogloss:0.807295+0.044043
## [114] train-mlogloss:0.133614+0.004318 test-mlogloss:0.809181+0.046414
## [115] train-mlogloss:0.132151+0.004273 test-mlogloss:0.809696+0.045656
## [116] train-mlogloss:0.130769+0.004167 test-mlogloss:0.812169+0.047742
## [117] train-mlogloss:0.129512+0.004136 test-mlogloss:0.814824+0.047636
## [118] train-mlogloss:0.128373+0.004044 test-mlogloss:0.816693+0.047227
## [119] train-mlogloss:0.126943+0.004073 test-mlogloss:0.817826+0.048044
## [120] train-mlogloss:0.125341+0.004051 test-mlogloss:0.818659+0.048856
## [121] train-mlogloss:0.123958+0.003946 test-mlogloss:0.819844+0.051110
## [122] train-mlogloss:0.122682+0.003828 test-mlogloss:0.820678+0.052190
## [123] train-mlogloss:0.121244+0.003580 test-mlogloss:0.822831+0.051877
## [124] train-mlogloss:0.119793+0.003692 test-mlogloss:0.824576+0.050330
## [125] train-mlogloss:0.118679+0.003705 test-mlogloss:0.828074+0.050139
## [126] train-mlogloss:0.117244+0.003902 test-mlogloss:0.829852+0.049992
## [127] train-mlogloss:0.115997+0.003767 test-mlogloss:0.829327+0.050800
## [128] train-mlogloss:0.114888+0.003978 test-mlogloss:0.830786+0.051498
## [129] train-mlogloss:0.113569+0.004181 test-mlogloss:0.831712+0.051713
## [130] train-mlogloss:0.112736+0.004269 test-mlogloss:0.832254+0.051875
## [131] train-mlogloss:0.111590+0.004152 test-mlogloss:0.834744+0.050809
## [132] train-mlogloss:0.110480+0.004415 test-mlogloss:0.835747+0.052049
## [133] train-mlogloss:0.109456+0.004268 test-mlogloss:0.837644+0.052026
## [134] train-mlogloss:0.108334+0.004193 test-mlogloss:0.840163+0.052955
## [135] train-mlogloss:0.107327+0.004389 test-mlogloss:0.843008+0.052645
## [136] train-mlogloss:0.106166+0.004410 test-mlogloss:0.843829+0.051148
## [137] train-mlogloss:0.105156+0.004506 test-mlogloss:0.844683+0.051138
## [138] train-mlogloss:0.104059+0.004452 test-mlogloss:0.846377+0.050603
## [139] train-mlogloss:0.103168+0.004530 test-mlogloss:0.848367+0.050434
## [140] train-mlogloss:0.102483+0.004483 test-mlogloss:0.848864+0.050076
## [141] train-mlogloss:0.101638+0.004647 test-mlogloss:0.849696+0.049871
## [142] train-mlogloss:0.100522+0.004365 test-mlogloss:0.851488+0.049947
## [143] train-mlogloss:0.099701+0.004175 test-mlogloss:0.851977+0.049313
## [144] train-mlogloss:0.098674+0.004349 test-mlogloss:0.854967+0.050601
## [145] train-mlogloss:0.097567+0.004152 test-mlogloss:0.856950+0.051068
## [146] train-mlogloss:0.096783+0.003943 test-mlogloss:0.860135+0.052042
## [147] train-mlogloss:0.095836+0.003942 test-mlogloss:0.861857+0.052601
## [148] train-mlogloss:0.095107+0.003800 test-mlogloss:0.862403+0.052554
## [149] train-mlogloss:0.094175+0.003737 test-mlogloss:0.864776+0.054528
## [150] train-mlogloss:0.093172+0.003668 test-mlogloss:0.866221+0.054580
## [151] train-mlogloss:0.092424+0.003774 test-mlogloss:0.866832+0.054267
## [152] train-mlogloss:0.091586+0.003742 test-mlogloss:0.869069+0.054104
## [153] train-mlogloss:0.090673+0.003420 test-mlogloss:0.869976+0.053867
## [154] train-mlogloss:0.089685+0.003312 test-mlogloss:0.870394+0.054090
## [155] train-mlogloss:0.089019+0.003403 test-mlogloss:0.871914+0.054495
## [156] train-mlogloss:0.088267+0.003480 test-mlogloss:0.873661+0.056506
## [157] train-mlogloss:0.087582+0.003448 test-mlogloss:0.875021+0.056779
## [158] train-mlogloss:0.086703+0.003342 test-mlogloss:0.876326+0.055079
## [159] train-mlogloss:0.085907+0.003384 test-mlogloss:0.878445+0.055559
## [160] train-mlogloss:0.085154+0.003171 test-mlogloss:0.880207+0.055893
## [161] train-mlogloss:0.084253+0.003040 test-mlogloss:0.881398+0.056070
## [162] train-mlogloss:0.083510+0.002902 test-mlogloss:0.883370+0.055765
## [163] train-mlogloss:0.082735+0.002918 test-mlogloss:0.884393+0.056174
## [164] train-mlogloss:0.081984+0.002882 test-mlogloss:0.886746+0.055268
## [165] train-mlogloss:0.081325+0.002896 test-mlogloss:0.887328+0.055533
## [166] train-mlogloss:0.080565+0.002880 test-mlogloss:0.888550+0.055035
## [167] train-mlogloss:0.079877+0.002868 test-mlogloss:0.890363+0.055591
## [168] train-mlogloss:0.079195+0.002910 test-mlogloss:0.890757+0.055188
## [169] train-mlogloss:0.078419+0.002775 test-mlogloss:0.892658+0.053547
## [170] train-mlogloss:0.077883+0.002795 test-mlogloss:0.893324+0.053865
## [171] train-mlogloss:0.077218+0.002715 test-mlogloss:0.893164+0.054857
## [172] train-mlogloss:0.076485+0.002960 test-mlogloss:0.896532+0.055481
## [173] train-mlogloss:0.075990+0.003069 test-mlogloss:0.898382+0.056753
## [174] train-mlogloss:0.075378+0.003158 test-mlogloss:0.897966+0.057983
## [175] train-mlogloss:0.074697+0.003109 test-mlogloss:0.899818+0.058602
## [176] train-mlogloss:0.074099+0.003044 test-mlogloss:0.902763+0.058328
## [177] train-mlogloss:0.073539+0.003104 test-mlogloss:0.903924+0.058957
## [178] train-mlogloss:0.073084+0.003163 test-mlogloss:0.904227+0.057752
## [179] train-mlogloss:0.072439+0.003239 test-mlogloss:0.904921+0.057394
## [180] train-mlogloss:0.071650+0.003118 test-mlogloss:0.905759+0.058344
## [181] train-mlogloss:0.071039+0.003023 test-mlogloss:0.906789+0.056950
## [182] train-mlogloss:0.070512+0.002997 test-mlogloss:0.907687+0.057409
## [183] train-mlogloss:0.070073+0.002914 test-mlogloss:0.907892+0.058086
## [184] train-mlogloss:0.069520+0.002918 test-mlogloss:0.908867+0.057478
## [185] train-mlogloss:0.069032+0.002981 test-mlogloss:0.910506+0.055680
## [186] train-mlogloss:0.068636+0.002904 test-mlogloss:0.912087+0.055044
## [187] train-mlogloss:0.068139+0.002898 test-mlogloss:0.913552+0.056474
## [188] train-mlogloss:0.067530+0.002912 test-mlogloss:0.915752+0.057405
## [189] train-mlogloss:0.066951+0.002898 test-mlogloss:0.917543+0.057517
## [190] train-mlogloss:0.066385+0.002845 test-mlogloss:0.920269+0.056793
## [191] train-mlogloss:0.065864+0.002832 test-mlogloss:0.921196+0.055425
## [192] train-mlogloss:0.065385+0.002966 test-mlogloss:0.921940+0.055960
## [193] train-mlogloss:0.064724+0.002904 test-mlogloss:0.923261+0.057218
## [194] train-mlogloss:0.064230+0.002793 test-mlogloss:0.924705+0.056975
## [195] train-mlogloss:0.063734+0.002886 test-mlogloss:0.926657+0.057332
## [196] train-mlogloss:0.063107+0.002895 test-mlogloss:0.927365+0.057628
## [197] train-mlogloss:0.062666+0.002942 test-mlogloss:0.928215+0.058754
## [198] train-mlogloss:0.062212+0.002852 test-mlogloss:0.928837+0.058746
## [199] train-mlogloss:0.061742+0.002855 test-mlogloss:0.931170+0.059135
## [200] train-mlogloss:0.061241+0.002822 test-mlogloss:0.930142+0.060001
## [201] train-mlogloss:0.060858+0.002849 test-mlogloss:0.930804+0.059163
## [202] train-mlogloss:0.060429+0.002782 test-mlogloss:0.932049+0.060201
## [203] train-mlogloss:0.060006+0.002833 test-mlogloss:0.933608+0.059613
## [204] train-mlogloss:0.059567+0.002776 test-mlogloss:0.935835+0.060132
## [205] train-mlogloss:0.059180+0.002735 test-mlogloss:0.936862+0.059530
## [206] train-mlogloss:0.058770+0.002703 test-mlogloss:0.938568+0.060219
## [207] train-mlogloss:0.058284+0.002744 test-mlogloss:0.940068+0.059975
## [208] train-mlogloss:0.057734+0.002653 test-mlogloss:0.941999+0.060439
## [209] train-mlogloss:0.057156+0.002649 test-mlogloss:0.944425+0.061583
## [210] train-mlogloss:0.056789+0.002567 test-mlogloss:0.945786+0.063266
## [211] train-mlogloss:0.056385+0.002473 test-mlogloss:0.947104+0.061702
## [212] train-mlogloss:0.056020+0.002540 test-mlogloss:0.949160+0.060344
## [213] train-mlogloss:0.055614+0.002552 test-mlogloss:0.951000+0.059714
## [214] train-mlogloss:0.055196+0.002605 test-mlogloss:0.952384+0.061302
## [215] train-mlogloss:0.054807+0.002614 test-mlogloss:0.953658+0.062316
## [216] train-mlogloss:0.054388+0.002595 test-mlogloss:0.955900+0.062364
## [217] train-mlogloss:0.053985+0.002518 test-mlogloss:0.956852+0.062755
## [218] train-mlogloss:0.053560+0.002571 test-mlogloss:0.958252+0.063111
## [219] train-mlogloss:0.053177+0.002481 test-mlogloss:0.960338+0.062478
## [220] train-mlogloss:0.052840+0.002377 test-mlogloss:0.962070+0.061341
## [221] train-mlogloss:0.052458+0.002379 test-mlogloss:0.962738+0.062469
## [222] train-mlogloss:0.052096+0.002319 test-mlogloss:0.962180+0.060839
## [223] train-mlogloss:0.051684+0.002304 test-mlogloss:0.963645+0.059826
## [224] train-mlogloss:0.051296+0.002215 test-mlogloss:0.964661+0.060151
## [225] train-mlogloss:0.050948+0.002306 test-mlogloss:0.965276+0.060507
## [226] train-mlogloss:0.050620+0.002252 test-mlogloss:0.966823+0.060984
## [227] train-mlogloss:0.050254+0.002222 test-mlogloss:0.967325+0.060227
## [228] train-mlogloss:0.049883+0.002239 test-mlogloss:0.968091+0.060207
## [229] train-mlogloss:0.049569+0.002192 test-mlogloss:0.968043+0.061884
## [230] train-mlogloss:0.049208+0.002124 test-mlogloss:0.968943+0.060193
## [231] train-mlogloss:0.048848+0.002070 test-mlogloss:0.968673+0.059336
## [232] train-mlogloss:0.048543+0.002066 test-mlogloss:0.970988+0.060638
## [233] train-mlogloss:0.048226+0.002034 test-mlogloss:0.972354+0.059305
## [234] train-mlogloss:0.047960+0.002031 test-mlogloss:0.973594+0.059060
## [235] train-mlogloss:0.047666+0.001988 test-mlogloss:0.973442+0.059514
## [236] train-mlogloss:0.047382+0.002012 test-mlogloss:0.973814+0.060019
## [237] train-mlogloss:0.047029+0.001943 test-mlogloss:0.975750+0.060704
## [238] train-mlogloss:0.046720+0.001967 test-mlogloss:0.976647+0.062214
## [239] train-mlogloss:0.046402+0.001903 test-mlogloss:0.978211+0.060800
## [240] train-mlogloss:0.046073+0.001878 test-mlogloss:0.978394+0.060724
## [241] train-mlogloss:0.045802+0.001811 test-mlogloss:0.979978+0.061615
## [242] train-mlogloss:0.045512+0.001781 test-mlogloss:0.980283+0.062252
## [243] train-mlogloss:0.045180+0.001797 test-mlogloss:0.982021+0.062382
## [244] train-mlogloss:0.044860+0.001758 test-mlogloss:0.982790+0.063149
## [245] train-mlogloss:0.044588+0.001755 test-mlogloss:0.983480+0.063601
## [246] train-mlogloss:0.044376+0.001790 test-mlogloss:0.984331+0.062796
## [247] train-mlogloss:0.044085+0.001769 test-mlogloss:0.983324+0.063558
## [248] train-mlogloss:0.043784+0.001781 test-mlogloss:0.983698+0.064046
## [249] train-mlogloss:0.043549+0.001779 test-mlogloss:0.985236+0.062412
## [250] train-mlogloss:0.043264+0.001758 test-mlogloss:0.986548+0.062606
## [251] train-mlogloss:0.042978+0.001746 test-mlogloss:0.987939+0.063557
## [252] train-mlogloss:0.042694+0.001755 test-mlogloss:0.989835+0.064119
## [253] train-mlogloss:0.042403+0.001753 test-mlogloss:0.990938+0.064090
## [254] train-mlogloss:0.042138+0.001724 test-mlogloss:0.991787+0.063936
## [255] train-mlogloss:0.041877+0.001668 test-mlogloss:0.993162+0.064273
## [256] train-mlogloss:0.041601+0.001670 test-mlogloss:0.994040+0.063535
## [257] train-mlogloss:0.041412+0.001651 test-mlogloss:0.995124+0.064290
## [258] train-mlogloss:0.041142+0.001656 test-mlogloss:0.996148+0.064667
## [259] train-mlogloss:0.040890+0.001634 test-mlogloss:0.997750+0.064696
## [260] train-mlogloss:0.040677+0.001674 test-mlogloss:0.998618+0.064047
## [261] train-mlogloss:0.040421+0.001658 test-mlogloss:0.999139+0.065099
## [262] train-mlogloss:0.040144+0.001628 test-mlogloss:0.998688+0.065670
## [263] train-mlogloss:0.039890+0.001632 test-mlogloss:0.999420+0.066536
## [264] train-mlogloss:0.039658+0.001592 test-mlogloss:1.000195+0.066808
## [265] train-mlogloss:0.039450+0.001547 test-mlogloss:1.001108+0.066334
## [266] train-mlogloss:0.039194+0.001526 test-mlogloss:1.002864+0.066923
## [267] train-mlogloss:0.039003+0.001529 test-mlogloss:1.003884+0.067710
## [268] train-mlogloss:0.038790+0.001529 test-mlogloss:1.004776+0.066892
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## [270] train-mlogloss:0.038328+0.001547 test-mlogloss:1.008106+0.066684
## [271] train-mlogloss:0.038129+0.001522 test-mlogloss:1.008642+0.067884
## [272] train-mlogloss:0.037887+0.001514 test-mlogloss:1.011154+0.068180
## [273] train-mlogloss:0.037752+0.001511 test-mlogloss:1.011609+0.067671
## [274] train-mlogloss:0.037520+0.001479 test-mlogloss:1.011615+0.067614
## [275] train-mlogloss:0.037318+0.001401 test-mlogloss:1.012027+0.068108
## [276] train-mlogloss:0.037112+0.001377 test-mlogloss:1.012259+0.067820
## [277] train-mlogloss:0.036934+0.001380 test-mlogloss:1.012354+0.066555
## [278] train-mlogloss:0.036741+0.001407 test-mlogloss:1.013941+0.066836
## [279] train-mlogloss:0.036547+0.001410 test-mlogloss:1.014892+0.067719
## [280] train-mlogloss:0.036295+0.001425 test-mlogloss:1.015181+0.067098
## [281] train-mlogloss:0.036060+0.001439 test-mlogloss:1.016428+0.066752
## [282] train-mlogloss:0.035860+0.001410 test-mlogloss:1.017264+0.067124
## [283] train-mlogloss:0.035644+0.001366 test-mlogloss:1.018437+0.067589
## [284] train-mlogloss:0.035468+0.001342 test-mlogloss:1.020300+0.067758
## [285] train-mlogloss:0.035264+0.001305 test-mlogloss:1.019954+0.068165
## [286] train-mlogloss:0.035094+0.001288 test-mlogloss:1.020675+0.067816
## [287] train-mlogloss:0.034919+0.001302 test-mlogloss:1.021263+0.066948
## [288] train-mlogloss:0.034750+0.001281 test-mlogloss:1.022183+0.067707
## [289] train-mlogloss:0.034623+0.001266 test-mlogloss:1.022703+0.066582
## [290] train-mlogloss:0.034414+0.001251 test-mlogloss:1.022568+0.065648
## [291] train-mlogloss:0.034263+0.001252 test-mlogloss:1.023016+0.067279
## [292] train-mlogloss:0.034087+0.001226 test-mlogloss:1.023578+0.067310
## [293] train-mlogloss:0.033891+0.001197 test-mlogloss:1.024538+0.066542
## [294] train-mlogloss:0.033734+0.001174 test-mlogloss:1.025170+0.065738
## [295] train-mlogloss:0.033538+0.001206 test-mlogloss:1.027084+0.067230
## [296] train-mlogloss:0.033381+0.001205 test-mlogloss:1.027363+0.067837
## [297] train-mlogloss:0.033224+0.001173 test-mlogloss:1.027997+0.067309
## [298] train-mlogloss:0.033039+0.001171 test-mlogloss:1.029519+0.068562
## [299] train-mlogloss:0.032866+0.001171 test-mlogloss:1.030043+0.069085
## [300] train-mlogloss:0.032706+0.001172 test-mlogloss:1.030268+0.068660
## [301] train-mlogloss:0.032523+0.001144 test-mlogloss:1.030318+0.068429
## [302] train-mlogloss:0.032360+0.001144 test-mlogloss:1.032044+0.067766
## [303] train-mlogloss:0.032227+0.001141 test-mlogloss:1.033649+0.067584
## [304] train-mlogloss:0.032056+0.001131 test-mlogloss:1.034477+0.066991
## [305] train-mlogloss:0.031932+0.001092 test-mlogloss:1.035136+0.067482
## [306] train-mlogloss:0.031779+0.001102 test-mlogloss:1.035150+0.066663
## [307] train-mlogloss:0.031621+0.001128 test-mlogloss:1.036341+0.066139
## [308] train-mlogloss:0.031489+0.001100 test-mlogloss:1.036697+0.065814
## [309] train-mlogloss:0.031284+0.001091 test-mlogloss:1.037875+0.066490
## [310] train-mlogloss:0.031118+0.001072 test-mlogloss:1.039811+0.066133
## [311] train-mlogloss:0.030919+0.001073 test-mlogloss:1.041327+0.066818
## [312] train-mlogloss:0.030744+0.001044 test-mlogloss:1.042752+0.067902
## [313] train-mlogloss:0.030575+0.001055 test-mlogloss:1.041932+0.067416
## [314] train-mlogloss:0.030468+0.001030 test-mlogloss:1.043209+0.066272
## [315] train-mlogloss:0.030324+0.001015 test-mlogloss:1.044432+0.067508
## [316] train-mlogloss:0.030211+0.001011 test-mlogloss:1.044709+0.068621
## [317] train-mlogloss:0.030065+0.001001 test-mlogloss:1.045225+0.067481
## [318] train-mlogloss:0.029906+0.001019 test-mlogloss:1.046581+0.067070
## [319] train-mlogloss:0.029770+0.001002 test-mlogloss:1.046961+0.066571
## [320] train-mlogloss:0.029645+0.001017 test-mlogloss:1.047540+0.066600
## [321] train-mlogloss:0.029491+0.000997 test-mlogloss:1.048641+0.066518
## [322] train-mlogloss:0.029402+0.000968 test-mlogloss:1.048877+0.066537
## [323] train-mlogloss:0.029290+0.000948 test-mlogloss:1.049143+0.065572
## [324] train-mlogloss:0.029171+0.000951 test-mlogloss:1.049029+0.066223
## [325] train-mlogloss:0.029021+0.000931 test-mlogloss:1.051051+0.065989
## [326] train-mlogloss:0.028900+0.000907 test-mlogloss:1.052290+0.065677
## [327] train-mlogloss:0.028757+0.000908 test-mlogloss:1.053296+0.065416
## [328] train-mlogloss:0.028641+0.000916 test-mlogloss:1.053488+0.064332
## [329] train-mlogloss:0.028504+0.000880 test-mlogloss:1.054590+0.064541
## [330] train-mlogloss:0.028395+0.000865 test-mlogloss:1.054861+0.063090
## [331] train-mlogloss:0.028289+0.000875 test-mlogloss:1.055737+0.064105
## [332] train-mlogloss:0.028171+0.000873 test-mlogloss:1.055932+0.063646
## [333] train-mlogloss:0.028044+0.000857 test-mlogloss:1.055537+0.064399
## [334] train-mlogloss:0.027943+0.000879 test-mlogloss:1.056771+0.065119
## [335] train-mlogloss:0.027810+0.000895 test-mlogloss:1.056914+0.065793
## [336] train-mlogloss:0.027682+0.000865 test-mlogloss:1.058336+0.066616
## [337] train-mlogloss:0.027582+0.000835 test-mlogloss:1.058514+0.066334
## [338] train-mlogloss:0.027478+0.000851 test-mlogloss:1.058923+0.066349
## [339] train-mlogloss:0.027363+0.000852 test-mlogloss:1.060621+0.066692
## [340] train-mlogloss:0.027249+0.000866 test-mlogloss:1.060355+0.066616
## [341] train-mlogloss:0.027148+0.000887 test-mlogloss:1.061083+0.066946
## [342] train-mlogloss:0.027029+0.000892 test-mlogloss:1.061810+0.066330
## [343] train-mlogloss:0.026916+0.000879 test-mlogloss:1.063124+0.066460
## [344] train-mlogloss:0.026782+0.000855 test-mlogloss:1.064318+0.066875
## [345] train-mlogloss:0.026657+0.000836 test-mlogloss:1.064299+0.066648
## [346] train-mlogloss:0.026520+0.000824 test-mlogloss:1.064638+0.065910
## [347] train-mlogloss:0.026390+0.000840 test-mlogloss:1.066062+0.067042
## [348] train-mlogloss:0.026297+0.000861 test-mlogloss:1.066591+0.066828
## [349] train-mlogloss:0.026184+0.000861 test-mlogloss:1.067138+0.066666
## [350] train-mlogloss:0.026080+0.000899 test-mlogloss:1.067464+0.067173
## [351] train-mlogloss:0.025972+0.000893 test-mlogloss:1.068401+0.067377
## [352] train-mlogloss:0.025882+0.000878 test-mlogloss:1.070357+0.067777
## [353] train-mlogloss:0.025762+0.000868 test-mlogloss:1.070847+0.067781
## [354] train-mlogloss:0.025673+0.000897 test-mlogloss:1.072280+0.066230
## [355] train-mlogloss:0.025554+0.000873 test-mlogloss:1.072832+0.066106
## [356] train-mlogloss:0.025440+0.000860 test-mlogloss:1.073606+0.067068
## [357] train-mlogloss:0.025332+0.000837 test-mlogloss:1.074140+0.067626
## [358] train-mlogloss:0.025239+0.000837 test-mlogloss:1.073749+0.068686
## [359] train-mlogloss:0.025119+0.000824 test-mlogloss:1.074523+0.068326
## [360] train-mlogloss:0.025010+0.000831 test-mlogloss:1.075865+0.068262
## [361] train-mlogloss:0.024900+0.000820 test-mlogloss:1.075830+0.069031
## [362] train-mlogloss:0.024808+0.000831 test-mlogloss:1.076795+0.068429
## [363] train-mlogloss:0.024708+0.000839 test-mlogloss:1.077340+0.069093
## [364] train-mlogloss:0.024588+0.000828 test-mlogloss:1.077169+0.069601
## [365] train-mlogloss:0.024467+0.000803 test-mlogloss:1.077709+0.070854
## [366] train-mlogloss:0.024417+0.000806 test-mlogloss:1.077877+0.070592
## [367] train-mlogloss:0.024314+0.000798 test-mlogloss:1.078892+0.070870
## [368] train-mlogloss:0.024215+0.000789 test-mlogloss:1.079054+0.070751
## [369] train-mlogloss:0.024114+0.000767 test-mlogloss:1.081132+0.070877
## [370] train-mlogloss:0.024022+0.000783 test-mlogloss:1.082157+0.071859
## [371] train-mlogloss:0.023923+0.000770 test-mlogloss:1.082470+0.071354
## [372] train-mlogloss:0.023823+0.000745 test-mlogloss:1.082646+0.071168
## [373] train-mlogloss:0.023731+0.000726 test-mlogloss:1.083307+0.070562
## [374] train-mlogloss:0.023641+0.000721 test-mlogloss:1.084226+0.070898
## [375] train-mlogloss:0.023559+0.000724 test-mlogloss:1.085051+0.070767
## [376] train-mlogloss:0.023482+0.000712 test-mlogloss:1.084686+0.069833
## [377] train-mlogloss:0.023392+0.000700 test-mlogloss:1.085823+0.070242
## [378] train-mlogloss:0.023311+0.000681 test-mlogloss:1.086076+0.069763
## [379] train-mlogloss:0.023203+0.000665 test-mlogloss:1.086881+0.070820
## [380] train-mlogloss:0.023149+0.000682 test-mlogloss:1.087079+0.070097
## [381] train-mlogloss:0.023059+0.000682 test-mlogloss:1.087734+0.070163
## [382] train-mlogloss:0.022958+0.000666 test-mlogloss:1.088935+0.070392
## [383] train-mlogloss:0.022867+0.000665 test-mlogloss:1.090542+0.071252
## [384] train-mlogloss:0.022777+0.000665 test-mlogloss:1.091101+0.071810
## [385] train-mlogloss:0.022695+0.000647 test-mlogloss:1.091976+0.071140
## [386] train-mlogloss:0.022620+0.000642 test-mlogloss:1.092482+0.071671
## [387] train-mlogloss:0.022541+0.000636 test-mlogloss:1.093186+0.071726
## [388] train-mlogloss:0.022448+0.000668 test-mlogloss:1.093526+0.071740
## [389] train-mlogloss:0.022366+0.000683 test-mlogloss:1.094997+0.072379
## [390] train-mlogloss:0.022270+0.000674 test-mlogloss:1.095728+0.071268
## [391] train-mlogloss:0.022218+0.000669 test-mlogloss:1.096262+0.072117
## [392] train-mlogloss:0.022132+0.000658 test-mlogloss:1.096922+0.072693
## [393] train-mlogloss:0.022060+0.000655 test-mlogloss:1.097367+0.072589
## [394] train-mlogloss:0.021992+0.000658 test-mlogloss:1.098080+0.072268
## [395] train-mlogloss:0.021922+0.000634 test-mlogloss:1.099899+0.072623
## [396] train-mlogloss:0.021835+0.000627 test-mlogloss:1.100511+0.072318
## [397] train-mlogloss:0.021752+0.000615 test-mlogloss:1.101749+0.072089
## [398] train-mlogloss:0.021676+0.000597 test-mlogloss:1.102284+0.071649
## [399] train-mlogloss:0.021610+0.000575 test-mlogloss:1.102771+0.071985
## [400] train-mlogloss:0.021544+0.000585 test-mlogloss:1.103091+0.070819
## [401] train-mlogloss:0.021458+0.000577 test-mlogloss:1.103912+0.071297
## [402] train-mlogloss:0.021369+0.000578 test-mlogloss:1.105064+0.070787
## [403] train-mlogloss:0.021298+0.000572 test-mlogloss:1.105306+0.070734
## [404] train-mlogloss:0.021232+0.000571 test-mlogloss:1.105735+0.071461
## [405] train-mlogloss:0.021186+0.000560 test-mlogloss:1.106441+0.071473
## [406] train-mlogloss:0.021116+0.000549 test-mlogloss:1.106474+0.071385
## [407] train-mlogloss:0.021043+0.000536 test-mlogloss:1.105950+0.071642
## [408] train-mlogloss:0.020968+0.000529 test-mlogloss:1.107036+0.071823
## [409] train-mlogloss:0.020905+0.000514 test-mlogloss:1.107120+0.070907
## [410] train-mlogloss:0.020829+0.000508 test-mlogloss:1.108449+0.070496
## [411] train-mlogloss:0.020743+0.000503 test-mlogloss:1.108838+0.070351
## [412] train-mlogloss:0.020662+0.000510 test-mlogloss:1.108618+0.070288
## [413] train-mlogloss:0.020589+0.000508 test-mlogloss:1.108841+0.069810
## [414] train-mlogloss:0.020517+0.000504 test-mlogloss:1.109958+0.071125
## [415] train-mlogloss:0.020460+0.000506 test-mlogloss:1.111803+0.071453
## [416] train-mlogloss:0.020380+0.000505 test-mlogloss:1.112715+0.071883
## [417] train-mlogloss:0.020298+0.000496 test-mlogloss:1.113838+0.072631
## [418] train-mlogloss:0.020221+0.000493 test-mlogloss:1.113996+0.072674
## [419] train-mlogloss:0.020170+0.000503 test-mlogloss:1.114209+0.072466
## [420] train-mlogloss:0.020110+0.000503 test-mlogloss:1.114474+0.072403
## [421] train-mlogloss:0.020055+0.000486 test-mlogloss:1.114310+0.072314
## [422] train-mlogloss:0.019993+0.000491 test-mlogloss:1.115113+0.073127
## [423] train-mlogloss:0.019925+0.000497 test-mlogloss:1.115508+0.072841
## [424] train-mlogloss:0.019861+0.000489 test-mlogloss:1.116499+0.073745
## [425] train-mlogloss:0.019804+0.000480 test-mlogloss:1.117322+0.073465
## [426] train-mlogloss:0.019753+0.000478 test-mlogloss:1.116360+0.073466
## [427] train-mlogloss:0.019677+0.000495 test-mlogloss:1.116620+0.074366
## [428] train-mlogloss:0.019622+0.000510 test-mlogloss:1.118001+0.074317
## [429] train-mlogloss:0.019569+0.000495 test-mlogloss:1.118425+0.074496
## [430] train-mlogloss:0.019501+0.000492 test-mlogloss:1.120553+0.075374
## [431] train-mlogloss:0.019438+0.000504 test-mlogloss:1.120520+0.075330
## [432] train-mlogloss:0.019376+0.000516 test-mlogloss:1.121127+0.073909
## [433] train-mlogloss:0.019304+0.000518 test-mlogloss:1.121199+0.073721
## [434] train-mlogloss:0.019230+0.000528 test-mlogloss:1.122505+0.073501
## [435] train-mlogloss:0.019178+0.000536 test-mlogloss:1.123124+0.073643
## [436] train-mlogloss:0.019115+0.000543 test-mlogloss:1.123095+0.072966
## [437] train-mlogloss:0.019069+0.000549 test-mlogloss:1.123201+0.072816
## [438] train-mlogloss:0.019018+0.000528 test-mlogloss:1.124431+0.072777
## [439] train-mlogloss:0.018960+0.000531 test-mlogloss:1.125195+0.072067
## [440] train-mlogloss:0.018894+0.000530 test-mlogloss:1.124874+0.071567
## [441] train-mlogloss:0.018834+0.000523 test-mlogloss:1.125658+0.071914
## [442] train-mlogloss:0.018762+0.000518 test-mlogloss:1.124819+0.072002
## [443] train-mlogloss:0.018694+0.000504 test-mlogloss:1.125688+0.071780
## [444] train-mlogloss:0.018642+0.000487 test-mlogloss:1.126530+0.071898
## [445] train-mlogloss:0.018593+0.000471 test-mlogloss:1.128786+0.072087
## [446] train-mlogloss:0.018542+0.000468 test-mlogloss:1.128818+0.072264
## [447] train-mlogloss:0.018480+0.000469 test-mlogloss:1.129496+0.072079
## [448] train-mlogloss:0.018421+0.000469 test-mlogloss:1.131279+0.071812
## [449] train-mlogloss:0.018381+0.000476 test-mlogloss:1.131183+0.071815
## [450] train-mlogloss:0.018331+0.000466 test-mlogloss:1.131278+0.072214
## [451] train-mlogloss:0.018288+0.000460 test-mlogloss:1.132357+0.072860
## [452] train-mlogloss:0.018236+0.000454 test-mlogloss:1.132760+0.072791
## [453] train-mlogloss:0.018179+0.000453 test-mlogloss:1.132989+0.074176
## [454] train-mlogloss:0.018130+0.000456 test-mlogloss:1.133264+0.073568
## [455] train-mlogloss:0.018079+0.000434 test-mlogloss:1.132974+0.072690
## [456] train-mlogloss:0.018021+0.000441 test-mlogloss:1.133687+0.073278
## [457] train-mlogloss:0.017975+0.000450 test-mlogloss:1.133528+0.072956
## [458] train-mlogloss:0.017939+0.000450 test-mlogloss:1.134734+0.073299
## [459] train-mlogloss:0.017888+0.000452 test-mlogloss:1.135286+0.073748
## [460] train-mlogloss:0.017827+0.000438 test-mlogloss:1.134936+0.073931
## [461] train-mlogloss:0.017781+0.000442 test-mlogloss:1.135907+0.074552
## [462] train-mlogloss:0.017721+0.000436 test-mlogloss:1.136060+0.075508
## [463] train-mlogloss:0.017670+0.000440 test-mlogloss:1.136828+0.075168
## [464] train-mlogloss:0.017615+0.000449 test-mlogloss:1.136936+0.074226
## [465] train-mlogloss:0.017573+0.000446 test-mlogloss:1.137079+0.074231
## [466] train-mlogloss:0.017531+0.000449 test-mlogloss:1.137848+0.073474
## [467] train-mlogloss:0.017480+0.000432 test-mlogloss:1.138630+0.073455
## [468] train-mlogloss:0.017438+0.000428 test-mlogloss:1.137987+0.073588
## [469] train-mlogloss:0.017398+0.000422 test-mlogloss:1.138798+0.073937
## [470] train-mlogloss:0.017354+0.000421 test-mlogloss:1.138592+0.073696
## [471] train-mlogloss:0.017291+0.000419 test-mlogloss:1.138448+0.073420
## [472] train-mlogloss:0.017229+0.000391 test-mlogloss:1.138574+0.073563
## [473] train-mlogloss:0.017185+0.000387 test-mlogloss:1.138215+0.073630
## [474] train-mlogloss:0.017147+0.000396 test-mlogloss:1.139029+0.073290
## [475] train-mlogloss:0.017109+0.000390 test-mlogloss:1.140069+0.073370
## [476] train-mlogloss:0.017069+0.000383 test-mlogloss:1.139884+0.073327
## [477] train-mlogloss:0.017031+0.000386 test-mlogloss:1.140483+0.074277
## [478] train-mlogloss:0.016990+0.000381 test-mlogloss:1.140437+0.074406
## [479] train-mlogloss:0.016946+0.000379 test-mlogloss:1.141329+0.073862
## [480] train-mlogloss:0.016914+0.000385 test-mlogloss:1.142639+0.073380
## [481] train-mlogloss:0.016875+0.000394 test-mlogloss:1.142483+0.074494
## [482] train-mlogloss:0.016828+0.000384 test-mlogloss:1.141744+0.074567
## [483] train-mlogloss:0.016780+0.000377 test-mlogloss:1.142404+0.074636
## [484] train-mlogloss:0.016744+0.000386 test-mlogloss:1.142038+0.073806
## [485] train-mlogloss:0.016704+0.000386 test-mlogloss:1.142661+0.073118
## [486] train-mlogloss:0.016666+0.000380 test-mlogloss:1.143225+0.073627
## [487] train-mlogloss:0.016627+0.000375 test-mlogloss:1.144598+0.074115
## [488] train-mlogloss:0.016593+0.000384 test-mlogloss:1.145624+0.074709
## [489] train-mlogloss:0.016551+0.000384 test-mlogloss:1.145202+0.074339
## [490] train-mlogloss:0.016503+0.000384 test-mlogloss:1.145953+0.074762
## [491] train-mlogloss:0.016459+0.000384 test-mlogloss:1.145826+0.074837
## [492] train-mlogloss:0.016421+0.000378 test-mlogloss:1.145795+0.074311
## [493] train-mlogloss:0.016389+0.000368 test-mlogloss:1.145957+0.074958
## [494] train-mlogloss:0.016352+0.000359 test-mlogloss:1.147017+0.074833
## [495] train-mlogloss:0.016304+0.000368 test-mlogloss:1.146860+0.074638
## [496] train-mlogloss:0.016256+0.000358 test-mlogloss:1.148108+0.074885
## [497] train-mlogloss:0.016214+0.000357 test-mlogloss:1.149156+0.073914
## [498] train-mlogloss:0.016172+0.000364 test-mlogloss:1.149319+0.073188
## [499] train-mlogloss:0.016120+0.000354 test-mlogloss:1.149874+0.072800
## [500] train-mlogloss:0.016081+0.000353 test-mlogloss:1.150336+0.072322
## [1] train-mlogloss:0.486193+0.002930 test-mlogloss:0.583897+0.005650
## [2] train-mlogloss:0.409778+0.002693 test-mlogloss:0.584277+0.008931
## [3] train-mlogloss:0.358887+0.003033 test-mlogloss:0.604574+0.008842
## [4] train-mlogloss:0.319435+0.002910 test-mlogloss:0.623658+0.009032
## [5] train-mlogloss:0.287156+0.002879 test-mlogloss:0.641753+0.008031
## [6] train-mlogloss:0.259768+0.003981 test-mlogloss:0.657300+0.012969
## [7] train-mlogloss:0.236457+0.003443 test-mlogloss:0.670870+0.011469
## [8] train-mlogloss:0.216469+0.003257 test-mlogloss:0.684991+0.011768
## [9] train-mlogloss:0.200172+0.003881 test-mlogloss:0.698484+0.015307
## [10] train-mlogloss:0.184092+0.003374 test-mlogloss:0.710661+0.014481
## [11] train-mlogloss:0.170338+0.003131 test-mlogloss:0.718958+0.017199
## [12] train-mlogloss:0.157816+0.003112 test-mlogloss:0.725356+0.017734
## [13] train-mlogloss:0.146881+0.003403 test-mlogloss:0.732599+0.018029
## [14] train-mlogloss:0.137657+0.003090 test-mlogloss:0.740645+0.020328
## [15] train-mlogloss:0.129192+0.002371 test-mlogloss:0.751424+0.018112
## [16] train-mlogloss:0.121716+0.002240 test-mlogloss:0.762261+0.016956
## [17] train-mlogloss:0.114874+0.001959 test-mlogloss:0.768082+0.018654
## [18] train-mlogloss:0.108857+0.001896 test-mlogloss:0.774541+0.020793
## [19] train-mlogloss:0.103200+0.001903 test-mlogloss:0.783143+0.020264
## [20] train-mlogloss:0.097838+0.001855 test-mlogloss:0.788769+0.019502
## [21] train-mlogloss:0.093363+0.001669 test-mlogloss:0.795428+0.019046
## [22] train-mlogloss:0.089207+0.001434 test-mlogloss:0.802037+0.020351
## [23] train-mlogloss:0.085470+0.001392 test-mlogloss:0.809695+0.020636
## [24] train-mlogloss:0.081836+0.001660 test-mlogloss:0.812672+0.021951
## [25] train-mlogloss:0.078538+0.001608 test-mlogloss:0.819308+0.022299
## [26] train-mlogloss:0.075497+0.001242 test-mlogloss:0.824404+0.023121
## [27] train-mlogloss:0.072834+0.000909 test-mlogloss:0.829732+0.022120
## [28] train-mlogloss:0.070312+0.000988 test-mlogloss:0.832236+0.022080
## [29] train-mlogloss:0.067968+0.000771 test-mlogloss:0.838374+0.022859
## [30] train-mlogloss:0.065586+0.000774 test-mlogloss:0.843817+0.022411
## [31] train-mlogloss:0.063504+0.000813 test-mlogloss:0.848061+0.023123
## [32] train-mlogloss:0.061582+0.000700 test-mlogloss:0.851429+0.020574
## [33] train-mlogloss:0.059962+0.000689 test-mlogloss:0.854483+0.020763
## [34] train-mlogloss:0.058312+0.000633 test-mlogloss:0.858689+0.019618
## [35] train-mlogloss:0.056827+0.000669 test-mlogloss:0.863251+0.019502
## [36] train-mlogloss:0.055337+0.000666 test-mlogloss:0.866454+0.022062
## [37] train-mlogloss:0.053978+0.000603 test-mlogloss:0.870694+0.022519
## [38] train-mlogloss:0.052615+0.000586 test-mlogloss:0.873937+0.021234
## [39] train-mlogloss:0.051341+0.000609 test-mlogloss:0.875988+0.022412
## [40] train-mlogloss:0.050267+0.000585 test-mlogloss:0.877904+0.022862
## [41] train-mlogloss:0.049083+0.000559 test-mlogloss:0.880886+0.023794
## [42] train-mlogloss:0.047944+0.000516 test-mlogloss:0.883999+0.025213
## [43] train-mlogloss:0.046931+0.000437 test-mlogloss:0.887347+0.026178
## [44] train-mlogloss:0.045960+0.000413 test-mlogloss:0.888495+0.028607
## [45] train-mlogloss:0.045033+0.000499 test-mlogloss:0.889784+0.028080
## [46] train-mlogloss:0.044051+0.000438 test-mlogloss:0.892930+0.026309
## [47] train-mlogloss:0.043122+0.000448 test-mlogloss:0.893999+0.025031
## [48] train-mlogloss:0.042262+0.000434 test-mlogloss:0.897378+0.024789
## [49] train-mlogloss:0.041509+0.000429 test-mlogloss:0.900613+0.024982
## [50] train-mlogloss:0.040749+0.000435 test-mlogloss:0.904390+0.025551
## [51] train-mlogloss:0.039990+0.000432 test-mlogloss:0.906928+0.025414
## [52] train-mlogloss:0.039273+0.000358 test-mlogloss:0.909161+0.025380
## [53] train-mlogloss:0.038562+0.000364 test-mlogloss:0.910955+0.025676
## [54] train-mlogloss:0.037957+0.000338 test-mlogloss:0.912558+0.025056
## [55] train-mlogloss:0.037352+0.000350 test-mlogloss:0.915753+0.023566
## [56] train-mlogloss:0.036705+0.000347 test-mlogloss:0.919035+0.024104
## [57] train-mlogloss:0.036102+0.000348 test-mlogloss:0.921806+0.023064
## [58] train-mlogloss:0.035512+0.000361 test-mlogloss:0.924186+0.022815
## [59] train-mlogloss:0.034987+0.000349 test-mlogloss:0.925011+0.022500
## [60] train-mlogloss:0.034487+0.000334 test-mlogloss:0.926648+0.022037
## [61] train-mlogloss:0.034005+0.000283 test-mlogloss:0.928535+0.022851
## [62] train-mlogloss:0.033528+0.000293 test-mlogloss:0.930152+0.023733
## [63] train-mlogloss:0.033078+0.000279 test-mlogloss:0.931416+0.023801
## [64] train-mlogloss:0.032579+0.000284 test-mlogloss:0.934720+0.023244
## [65] train-mlogloss:0.032148+0.000318 test-mlogloss:0.938048+0.022918
## [66] train-mlogloss:0.031718+0.000307 test-mlogloss:0.939119+0.022734
## [67] train-mlogloss:0.031270+0.000292 test-mlogloss:0.938973+0.021144
## [68] train-mlogloss:0.030899+0.000292 test-mlogloss:0.940490+0.020702
## [69] train-mlogloss:0.030505+0.000299 test-mlogloss:0.942755+0.020253
## [70] train-mlogloss:0.030167+0.000277 test-mlogloss:0.944635+0.021339
## [71] train-mlogloss:0.029802+0.000307 test-mlogloss:0.947400+0.020705
## [72] train-mlogloss:0.029443+0.000277 test-mlogloss:0.947931+0.021939
## [73] train-mlogloss:0.029116+0.000263 test-mlogloss:0.950381+0.022800
## [74] train-mlogloss:0.028785+0.000270 test-mlogloss:0.952252+0.023194
## [75] train-mlogloss:0.028441+0.000252 test-mlogloss:0.953799+0.022937
## [76] train-mlogloss:0.028130+0.000232 test-mlogloss:0.956005+0.024301
## [77] train-mlogloss:0.027833+0.000219 test-mlogloss:0.958394+0.023608
## [78] train-mlogloss:0.027536+0.000201 test-mlogloss:0.959753+0.024396
## [79] train-mlogloss:0.027245+0.000221 test-mlogloss:0.960225+0.023824
## [80] train-mlogloss:0.026968+0.000232 test-mlogloss:0.959915+0.023733
## [81] train-mlogloss:0.026712+0.000230 test-mlogloss:0.961365+0.025400
## [82] train-mlogloss:0.026410+0.000218 test-mlogloss:0.962372+0.025638
## [83] train-mlogloss:0.026189+0.000205 test-mlogloss:0.964598+0.024586
## [84] train-mlogloss:0.025936+0.000225 test-mlogloss:0.966493+0.025200
## [85] train-mlogloss:0.025708+0.000229 test-mlogloss:0.967500+0.025625
## [86] train-mlogloss:0.025446+0.000275 test-mlogloss:0.969555+0.027849
## [87] train-mlogloss:0.025207+0.000277 test-mlogloss:0.971501+0.027733
## [88] train-mlogloss:0.025014+0.000277 test-mlogloss:0.972910+0.028391
## [89] train-mlogloss:0.024771+0.000296 test-mlogloss:0.974866+0.027233
## [90] train-mlogloss:0.024576+0.000323 test-mlogloss:0.975083+0.028388
## [91] train-mlogloss:0.024377+0.000325 test-mlogloss:0.975518+0.029077
## [92] train-mlogloss:0.024181+0.000313 test-mlogloss:0.975910+0.028650
## [93] train-mlogloss:0.023982+0.000310 test-mlogloss:0.976633+0.028607
## [94] train-mlogloss:0.023783+0.000322 test-mlogloss:0.978085+0.026996
## [95] train-mlogloss:0.023588+0.000314 test-mlogloss:0.980015+0.026981
## [96] train-mlogloss:0.023402+0.000294 test-mlogloss:0.982303+0.027020
## [97] train-mlogloss:0.023211+0.000279 test-mlogloss:0.983665+0.026669
## [98] train-mlogloss:0.023044+0.000275 test-mlogloss:0.985391+0.027042
## [99] train-mlogloss:0.022858+0.000272 test-mlogloss:0.987755+0.028020
## [100] train-mlogloss:0.022672+0.000274 test-mlogloss:0.987561+0.028478
## [101] train-mlogloss:0.022502+0.000301 test-mlogloss:0.987874+0.028856
## [102] train-mlogloss:0.022323+0.000301 test-mlogloss:0.989070+0.029351
## [103] train-mlogloss:0.022153+0.000288 test-mlogloss:0.989649+0.030234
## [104] train-mlogloss:0.021994+0.000274 test-mlogloss:0.990837+0.028578
## [105] train-mlogloss:0.021830+0.000274 test-mlogloss:0.992500+0.028280
## [106] train-mlogloss:0.021668+0.000294 test-mlogloss:0.992940+0.027708
## [107] train-mlogloss:0.021487+0.000277 test-mlogloss:0.995327+0.027327
## [108] train-mlogloss:0.021342+0.000274 test-mlogloss:0.997338+0.027871
## [109] train-mlogloss:0.021193+0.000277 test-mlogloss:0.998273+0.029599
## [110] train-mlogloss:0.021049+0.000250 test-mlogloss:0.998907+0.030808
## [111] train-mlogloss:0.020904+0.000259 test-mlogloss:0.999283+0.030836
## [112] train-mlogloss:0.020776+0.000230 test-mlogloss:1.000991+0.031242
## [113] train-mlogloss:0.020614+0.000224 test-mlogloss:1.001127+0.031317
## [114] train-mlogloss:0.020480+0.000232 test-mlogloss:1.001811+0.031562
## [115] train-mlogloss:0.020341+0.000222 test-mlogloss:1.002515+0.031232
## [116] train-mlogloss:0.020217+0.000224 test-mlogloss:1.003367+0.031745
## [117] train-mlogloss:0.020095+0.000224 test-mlogloss:1.004169+0.031104
## [118] train-mlogloss:0.019939+0.000211 test-mlogloss:1.005309+0.032165
## [119] train-mlogloss:0.019806+0.000189 test-mlogloss:1.005878+0.032171
## [120] train-mlogloss:0.019683+0.000192 test-mlogloss:1.007090+0.031049
## [121] train-mlogloss:0.019557+0.000196 test-mlogloss:1.007849+0.031963
## [122] train-mlogloss:0.019426+0.000195 test-mlogloss:1.009878+0.032669
## [123] train-mlogloss:0.019303+0.000198 test-mlogloss:1.010573+0.032708
## [124] train-mlogloss:0.019182+0.000192 test-mlogloss:1.010808+0.034071
## [125] train-mlogloss:0.019058+0.000194 test-mlogloss:1.012165+0.034885
## [126] train-mlogloss:0.018948+0.000185 test-mlogloss:1.013132+0.034297
## [127] train-mlogloss:0.018832+0.000187 test-mlogloss:1.013739+0.034600
## [128] train-mlogloss:0.018703+0.000179 test-mlogloss:1.014582+0.034603
## [129] train-mlogloss:0.018597+0.000174 test-mlogloss:1.014838+0.034109
## [130] train-mlogloss:0.018492+0.000172 test-mlogloss:1.016340+0.034436
## [131] train-mlogloss:0.018388+0.000187 test-mlogloss:1.017397+0.034623
## [132] train-mlogloss:0.018282+0.000185 test-mlogloss:1.018207+0.035634
## [133] train-mlogloss:0.018158+0.000178 test-mlogloss:1.018900+0.035358
## [134] train-mlogloss:0.018060+0.000172 test-mlogloss:1.019781+0.034258
## [135] train-mlogloss:0.017977+0.000174 test-mlogloss:1.021733+0.034341
## [136] train-mlogloss:0.017879+0.000162 test-mlogloss:1.022037+0.034970
## [137] train-mlogloss:0.017787+0.000164 test-mlogloss:1.021792+0.035342
## [138] train-mlogloss:0.017690+0.000165 test-mlogloss:1.023725+0.035751
## [139] train-mlogloss:0.017594+0.000169 test-mlogloss:1.024518+0.035130
## [140] train-mlogloss:0.017505+0.000160 test-mlogloss:1.025123+0.035528
## [141] train-mlogloss:0.017419+0.000161 test-mlogloss:1.025891+0.036679
## [142] train-mlogloss:0.017329+0.000154 test-mlogloss:1.026809+0.037012
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## [144] train-mlogloss:0.017154+0.000142 test-mlogloss:1.029215+0.036910
## [145] train-mlogloss:0.017060+0.000153 test-mlogloss:1.030233+0.035515
## [146] train-mlogloss:0.016976+0.000169 test-mlogloss:1.031317+0.035485
## [147] train-mlogloss:0.016899+0.000142 test-mlogloss:1.031433+0.036006
## [148] train-mlogloss:0.016815+0.000146 test-mlogloss:1.031180+0.035223
## [149] train-mlogloss:0.016728+0.000153 test-mlogloss:1.032655+0.035059
## [150] train-mlogloss:0.016641+0.000156 test-mlogloss:1.033091+0.036070
## [151] train-mlogloss:0.016569+0.000159 test-mlogloss:1.035310+0.036346
## [152] train-mlogloss:0.016499+0.000170 test-mlogloss:1.037244+0.036519
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## [154] train-mlogloss:0.016346+0.000162 test-mlogloss:1.040138+0.037145
## [155] train-mlogloss:0.016270+0.000164 test-mlogloss:1.040737+0.036923
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## [158] train-mlogloss:0.016048+0.000146 test-mlogloss:1.042634+0.035642
## [159] train-mlogloss:0.015974+0.000140 test-mlogloss:1.043837+0.035421
## [160] train-mlogloss:0.015919+0.000129 test-mlogloss:1.044444+0.035980
## [161] train-mlogloss:0.015857+0.000118 test-mlogloss:1.044098+0.036065
## [162] train-mlogloss:0.015787+0.000129 test-mlogloss:1.043439+0.037009
## [163] train-mlogloss:0.015705+0.000130 test-mlogloss:1.044239+0.036960
## [164] train-mlogloss:0.015624+0.000138 test-mlogloss:1.045266+0.037069
## [165] train-mlogloss:0.015567+0.000133 test-mlogloss:1.045281+0.036556
## [166] train-mlogloss:0.015495+0.000135 test-mlogloss:1.047128+0.037487
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## [168] train-mlogloss:0.015365+0.000129 test-mlogloss:1.048767+0.037565
## [169] train-mlogloss:0.015297+0.000124 test-mlogloss:1.048342+0.037070
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## [174] train-mlogloss:0.014985+0.000125 test-mlogloss:1.050863+0.037907
## [175] train-mlogloss:0.014927+0.000121 test-mlogloss:1.052366+0.037732
## [176] train-mlogloss:0.014861+0.000125 test-mlogloss:1.053519+0.038268
## [177] train-mlogloss:0.014796+0.000142 test-mlogloss:1.054760+0.038311
## [178] train-mlogloss:0.014744+0.000145 test-mlogloss:1.055598+0.038360
## [179] train-mlogloss:0.014692+0.000143 test-mlogloss:1.056289+0.038827
## [180] train-mlogloss:0.014635+0.000136 test-mlogloss:1.056856+0.038936
## [181] train-mlogloss:0.014569+0.000132 test-mlogloss:1.058114+0.039288
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## [183] train-mlogloss:0.014473+0.000128 test-mlogloss:1.057912+0.039272
## [184] train-mlogloss:0.014420+0.000127 test-mlogloss:1.059298+0.039886
## [185] train-mlogloss:0.014367+0.000123 test-mlogloss:1.059406+0.040811
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## [190] train-mlogloss:0.014097+0.000108 test-mlogloss:1.061563+0.040717
## [191] train-mlogloss:0.014055+0.000109 test-mlogloss:1.061837+0.040878
## [192] train-mlogloss:0.013996+0.000100 test-mlogloss:1.061762+0.041540
## [193] train-mlogloss:0.013951+0.000098 test-mlogloss:1.062361+0.041384
## [194] train-mlogloss:0.013907+0.000093 test-mlogloss:1.062665+0.041676
## [195] train-mlogloss:0.013859+0.000097 test-mlogloss:1.064132+0.041796
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## [197] train-mlogloss:0.013765+0.000104 test-mlogloss:1.066312+0.041884
## [198] train-mlogloss:0.013708+0.000106 test-mlogloss:1.067189+0.041319
## [199] train-mlogloss:0.013662+0.000104 test-mlogloss:1.067558+0.040978
## [200] train-mlogloss:0.013619+0.000104 test-mlogloss:1.068246+0.041994
## [201] train-mlogloss:0.013578+0.000101 test-mlogloss:1.068495+0.042336
## [202] train-mlogloss:0.013529+0.000100 test-mlogloss:1.068482+0.042679
## [203] train-mlogloss:0.013490+0.000099 test-mlogloss:1.070350+0.043133
## [204] train-mlogloss:0.013440+0.000096 test-mlogloss:1.070842+0.042401
## [205] train-mlogloss:0.013396+0.000096 test-mlogloss:1.070781+0.041806
## [206] train-mlogloss:0.013354+0.000087 test-mlogloss:1.071374+0.042324
## [207] train-mlogloss:0.013307+0.000084 test-mlogloss:1.071199+0.041860
## [208] train-mlogloss:0.013256+0.000082 test-mlogloss:1.072552+0.041576
## [209] train-mlogloss:0.013207+0.000086 test-mlogloss:1.072493+0.041103
## [210] train-mlogloss:0.013170+0.000083 test-mlogloss:1.072317+0.041328
## [211] train-mlogloss:0.013128+0.000078 test-mlogloss:1.072985+0.040930
## [212] train-mlogloss:0.013089+0.000070 test-mlogloss:1.074993+0.040723
## [213] train-mlogloss:0.013048+0.000072 test-mlogloss:1.075466+0.040102
## [214] train-mlogloss:0.013010+0.000069 test-mlogloss:1.075929+0.039998
## [215] train-mlogloss:0.012977+0.000067 test-mlogloss:1.076033+0.040545
## [216] train-mlogloss:0.012945+0.000068 test-mlogloss:1.077834+0.039993
## [217] train-mlogloss:0.012899+0.000064 test-mlogloss:1.078537+0.039702
## [218] train-mlogloss:0.012859+0.000068 test-mlogloss:1.079435+0.039890
## [219] train-mlogloss:0.012829+0.000066 test-mlogloss:1.079787+0.039580
## [220] train-mlogloss:0.012784+0.000073 test-mlogloss:1.081646+0.040129
## [221] train-mlogloss:0.012749+0.000075 test-mlogloss:1.081005+0.040221
## [222] train-mlogloss:0.012714+0.000077 test-mlogloss:1.081096+0.041025
## [223] train-mlogloss:0.012677+0.000071 test-mlogloss:1.081928+0.040451
## [224] train-mlogloss:0.012637+0.000072 test-mlogloss:1.081860+0.041194
## [225] train-mlogloss:0.012603+0.000073 test-mlogloss:1.082550+0.041928
## [226] train-mlogloss:0.012564+0.000070 test-mlogloss:1.082900+0.042294
## [227] train-mlogloss:0.012517+0.000074 test-mlogloss:1.083880+0.043116
## [228] train-mlogloss:0.012481+0.000068 test-mlogloss:1.084100+0.042738
## [229] train-mlogloss:0.012446+0.000075 test-mlogloss:1.083855+0.042613
## [230] train-mlogloss:0.012417+0.000070 test-mlogloss:1.082864+0.042193
## [231] train-mlogloss:0.012378+0.000074 test-mlogloss:1.083664+0.042099
## [232] train-mlogloss:0.012351+0.000078 test-mlogloss:1.084764+0.042519
## [233] train-mlogloss:0.012313+0.000074 test-mlogloss:1.085409+0.042375
## [234] train-mlogloss:0.012273+0.000073 test-mlogloss:1.085939+0.041662
## [235] train-mlogloss:0.012242+0.000078 test-mlogloss:1.087030+0.042459
## [236] train-mlogloss:0.012202+0.000070 test-mlogloss:1.087644+0.043260
## [237] train-mlogloss:0.012172+0.000065 test-mlogloss:1.087635+0.042873
## [238] train-mlogloss:0.012138+0.000065 test-mlogloss:1.087429+0.043180
## [239] train-mlogloss:0.012104+0.000072 test-mlogloss:1.087715+0.042724
## [240] train-mlogloss:0.012073+0.000075 test-mlogloss:1.088428+0.042236
## [241] train-mlogloss:0.012041+0.000071 test-mlogloss:1.089961+0.042213
## [242] train-mlogloss:0.012014+0.000074 test-mlogloss:1.090202+0.042687
## [243] train-mlogloss:0.011983+0.000074 test-mlogloss:1.090512+0.042458
## [244] train-mlogloss:0.011947+0.000080 test-mlogloss:1.091353+0.043010
## [245] train-mlogloss:0.011910+0.000077 test-mlogloss:1.092170+0.043255
## [246] train-mlogloss:0.011881+0.000077 test-mlogloss:1.092119+0.042565
## [247] train-mlogloss:0.011850+0.000077 test-mlogloss:1.093222+0.042864
## [248] train-mlogloss:0.011819+0.000081 test-mlogloss:1.093208+0.042675
## [249] train-mlogloss:0.011788+0.000079 test-mlogloss:1.093987+0.041804
## [250] train-mlogloss:0.011752+0.000089 test-mlogloss:1.094760+0.042428
## [251] train-mlogloss:0.011720+0.000094 test-mlogloss:1.094330+0.042228
## [252] train-mlogloss:0.011686+0.000099 test-mlogloss:1.094522+0.042019
## [253] train-mlogloss:0.011658+0.000101 test-mlogloss:1.095175+0.042597
## [254] train-mlogloss:0.011632+0.000105 test-mlogloss:1.095527+0.043186
## [255] train-mlogloss:0.011599+0.000104 test-mlogloss:1.096415+0.043135
## [256] train-mlogloss:0.011566+0.000104 test-mlogloss:1.096397+0.043248
## [257] train-mlogloss:0.011538+0.000100 test-mlogloss:1.096809+0.042856
## [258] train-mlogloss:0.011507+0.000104 test-mlogloss:1.095937+0.041668
## [259] train-mlogloss:0.011475+0.000106 test-mlogloss:1.097279+0.041444
## [260] train-mlogloss:0.011450+0.000100 test-mlogloss:1.097616+0.041287
## [261] train-mlogloss:0.011421+0.000103 test-mlogloss:1.097192+0.041356
## [262] train-mlogloss:0.011401+0.000096 test-mlogloss:1.097879+0.041445
## [263] train-mlogloss:0.011372+0.000100 test-mlogloss:1.097510+0.042614
## [264] train-mlogloss:0.011343+0.000102 test-mlogloss:1.098565+0.042982
## [265] train-mlogloss:0.011319+0.000105 test-mlogloss:1.098108+0.042359
## [266] train-mlogloss:0.011291+0.000105 test-mlogloss:1.098528+0.042035
## [267] train-mlogloss:0.011259+0.000102 test-mlogloss:1.099755+0.042639
## [268] train-mlogloss:0.011230+0.000101 test-mlogloss:1.100627+0.042743
## [269] train-mlogloss:0.011205+0.000101 test-mlogloss:1.101128+0.042989
## [270] train-mlogloss:0.011182+0.000096 test-mlogloss:1.101784+0.043630
## [271] train-mlogloss:0.011162+0.000095 test-mlogloss:1.102581+0.044359
## [272] train-mlogloss:0.011136+0.000089 test-mlogloss:1.103369+0.045121
## [273] train-mlogloss:0.011122+0.000090 test-mlogloss:1.104439+0.045003
## [274] train-mlogloss:0.011098+0.000089 test-mlogloss:1.104855+0.045965
## [275] train-mlogloss:0.011072+0.000091 test-mlogloss:1.104965+0.045583
## [276] train-mlogloss:0.011048+0.000086 test-mlogloss:1.104766+0.045990
## [277] train-mlogloss:0.011027+0.000092 test-mlogloss:1.104424+0.045008
## [278] train-mlogloss:0.011000+0.000091 test-mlogloss:1.105676+0.045146
## [279] train-mlogloss:0.010972+0.000088 test-mlogloss:1.105434+0.045436
## [280] train-mlogloss:0.010940+0.000086 test-mlogloss:1.105840+0.045154
## [281] train-mlogloss:0.010918+0.000081 test-mlogloss:1.107017+0.044888
## [282] train-mlogloss:0.010902+0.000089 test-mlogloss:1.106952+0.045280
## [283] train-mlogloss:0.010871+0.000086 test-mlogloss:1.106429+0.045087
## [284] train-mlogloss:0.010843+0.000083 test-mlogloss:1.107332+0.044050
## [285] train-mlogloss:0.010818+0.000081 test-mlogloss:1.107610+0.043927
## [286] train-mlogloss:0.010798+0.000079 test-mlogloss:1.108017+0.043700
## [287] train-mlogloss:0.010772+0.000077 test-mlogloss:1.108203+0.043703
## [288] train-mlogloss:0.010748+0.000080 test-mlogloss:1.108891+0.044113
## [289] train-mlogloss:0.010724+0.000083 test-mlogloss:1.108593+0.044037
## [290] train-mlogloss:0.010706+0.000085 test-mlogloss:1.109300+0.044263
## [291] train-mlogloss:0.010683+0.000089 test-mlogloss:1.109987+0.043803
## [292] train-mlogloss:0.010659+0.000085 test-mlogloss:1.110951+0.043860
## [293] train-mlogloss:0.010641+0.000078 test-mlogloss:1.111183+0.043511
## [294] train-mlogloss:0.010615+0.000076 test-mlogloss:1.111312+0.044470
## [295] train-mlogloss:0.010592+0.000069 test-mlogloss:1.111826+0.044944
## [296] train-mlogloss:0.010570+0.000068 test-mlogloss:1.112454+0.044286
## [297] train-mlogloss:0.010557+0.000069 test-mlogloss:1.114293+0.044415
## [298] train-mlogloss:0.010535+0.000074 test-mlogloss:1.113583+0.044406
## [299] train-mlogloss:0.010513+0.000073 test-mlogloss:1.113549+0.043601
## [300] train-mlogloss:0.010490+0.000074 test-mlogloss:1.113815+0.044201
## [301] train-mlogloss:0.010468+0.000077 test-mlogloss:1.114031+0.043438
## [302] train-mlogloss:0.010444+0.000075 test-mlogloss:1.114327+0.044343
## [303] train-mlogloss:0.010426+0.000079 test-mlogloss:1.114675+0.043768
## [304] train-mlogloss:0.010404+0.000076 test-mlogloss:1.114850+0.043247
## [305] train-mlogloss:0.010388+0.000075 test-mlogloss:1.115213+0.043216
## [306] train-mlogloss:0.010372+0.000074 test-mlogloss:1.115385+0.044550
## [307] train-mlogloss:0.010350+0.000071 test-mlogloss:1.115463+0.044250
## [308] train-mlogloss:0.010327+0.000074 test-mlogloss:1.116420+0.044478
## [309] train-mlogloss:0.010307+0.000076 test-mlogloss:1.116461+0.044772
## [310] train-mlogloss:0.010285+0.000076 test-mlogloss:1.116661+0.043937
## [311] train-mlogloss:0.010259+0.000081 test-mlogloss:1.116591+0.044537
## [312] train-mlogloss:0.010238+0.000085 test-mlogloss:1.117556+0.044709
## [313] train-mlogloss:0.010218+0.000083 test-mlogloss:1.117724+0.044635
## [314] train-mlogloss:0.010198+0.000085 test-mlogloss:1.118405+0.044345
## [315] train-mlogloss:0.010177+0.000086 test-mlogloss:1.118672+0.044656
## [316] train-mlogloss:0.010160+0.000083 test-mlogloss:1.119322+0.044371
## [317] train-mlogloss:0.010139+0.000087 test-mlogloss:1.119732+0.045055
## [318] train-mlogloss:0.010123+0.000087 test-mlogloss:1.119575+0.044018
## [319] train-mlogloss:0.010104+0.000089 test-mlogloss:1.119633+0.043357
## [320] train-mlogloss:0.010082+0.000089 test-mlogloss:1.120108+0.042875
## [321] train-mlogloss:0.010066+0.000086 test-mlogloss:1.120178+0.042430
## [322] train-mlogloss:0.010050+0.000082 test-mlogloss:1.120282+0.043862
## [323] train-mlogloss:0.010036+0.000089 test-mlogloss:1.120848+0.044039
## [324] train-mlogloss:0.010015+0.000086 test-mlogloss:1.121379+0.043868
## [325] train-mlogloss:0.009995+0.000094 test-mlogloss:1.121156+0.043976
## [326] train-mlogloss:0.009974+0.000096 test-mlogloss:1.121726+0.043293
## [327] train-mlogloss:0.009958+0.000091 test-mlogloss:1.121619+0.043480
## [328] train-mlogloss:0.009940+0.000095 test-mlogloss:1.122440+0.042832
## [329] train-mlogloss:0.009918+0.000090 test-mlogloss:1.123440+0.042596
## [330] train-mlogloss:0.009899+0.000094 test-mlogloss:1.123723+0.042774
## [331] train-mlogloss:0.009878+0.000092 test-mlogloss:1.124728+0.042292
## [332] train-mlogloss:0.009859+0.000092 test-mlogloss:1.124696+0.042492
## [333] train-mlogloss:0.009845+0.000094 test-mlogloss:1.124246+0.042729
## [334] train-mlogloss:0.009826+0.000095 test-mlogloss:1.124031+0.042339
## [335] train-mlogloss:0.009809+0.000093 test-mlogloss:1.124129+0.041527
## [336] train-mlogloss:0.009792+0.000095 test-mlogloss:1.124413+0.042176
## [337] train-mlogloss:0.009773+0.000096 test-mlogloss:1.124905+0.041980
## [338] train-mlogloss:0.009759+0.000094 test-mlogloss:1.124838+0.042197
## [339] train-mlogloss:0.009747+0.000093 test-mlogloss:1.125647+0.041136
## [340] train-mlogloss:0.009733+0.000089 test-mlogloss:1.124998+0.041875
## [341] train-mlogloss:0.009720+0.000090 test-mlogloss:1.124986+0.041855
## [342] train-mlogloss:0.009700+0.000088 test-mlogloss:1.125231+0.042060
## [343] train-mlogloss:0.009684+0.000091 test-mlogloss:1.126196+0.042135
## [344] train-mlogloss:0.009671+0.000090 test-mlogloss:1.126036+0.043029
## [345] train-mlogloss:0.009656+0.000090 test-mlogloss:1.126203+0.042544
## [346] train-mlogloss:0.009636+0.000091 test-mlogloss:1.126819+0.042913
## [347] train-mlogloss:0.009619+0.000087 test-mlogloss:1.126864+0.043779
## [348] train-mlogloss:0.009602+0.000088 test-mlogloss:1.127512+0.043462
## [349] train-mlogloss:0.009594+0.000086 test-mlogloss:1.127977+0.043407
## [350] train-mlogloss:0.009574+0.000088 test-mlogloss:1.128390+0.042917
## [351] train-mlogloss:0.009557+0.000093 test-mlogloss:1.128150+0.042515
## [352] train-mlogloss:0.009543+0.000087 test-mlogloss:1.128597+0.042640
## [353] train-mlogloss:0.009526+0.000084 test-mlogloss:1.129214+0.043025
## [354] train-mlogloss:0.009507+0.000082 test-mlogloss:1.129143+0.043471
## [355] train-mlogloss:0.009491+0.000087 test-mlogloss:1.129381+0.043192
## [356] train-mlogloss:0.009477+0.000090 test-mlogloss:1.129397+0.041599
## [357] train-mlogloss:0.009463+0.000088 test-mlogloss:1.130017+0.042044
## [358] train-mlogloss:0.009448+0.000088 test-mlogloss:1.129967+0.042366
## [359] train-mlogloss:0.009429+0.000090 test-mlogloss:1.130206+0.043016
## [360] train-mlogloss:0.009417+0.000091 test-mlogloss:1.130415+0.042173
## [361] train-mlogloss:0.009401+0.000088 test-mlogloss:1.130532+0.042530
## [362] train-mlogloss:0.009387+0.000085 test-mlogloss:1.130344+0.042444
## [363] train-mlogloss:0.009369+0.000085 test-mlogloss:1.130514+0.043385
## [364] train-mlogloss:0.009356+0.000087 test-mlogloss:1.131288+0.042723
## [365] train-mlogloss:0.009339+0.000083 test-mlogloss:1.132576+0.042741
## [366] train-mlogloss:0.009323+0.000086 test-mlogloss:1.132185+0.043062
## [367] train-mlogloss:0.009310+0.000087 test-mlogloss:1.132972+0.044205
## [368] train-mlogloss:0.009296+0.000083 test-mlogloss:1.132704+0.043552
## [369] train-mlogloss:0.009277+0.000090 test-mlogloss:1.133246+0.044102
## [370] train-mlogloss:0.009265+0.000092 test-mlogloss:1.133860+0.044351
## [371] train-mlogloss:0.009250+0.000094 test-mlogloss:1.133324+0.044509
## [372] train-mlogloss:0.009237+0.000092 test-mlogloss:1.134777+0.044927
## [373] train-mlogloss:0.009220+0.000091 test-mlogloss:1.134647+0.043930
## [374] train-mlogloss:0.009204+0.000095 test-mlogloss:1.134338+0.043372
## [375] train-mlogloss:0.009190+0.000093 test-mlogloss:1.133654+0.044177
## [376] train-mlogloss:0.009177+0.000095 test-mlogloss:1.133900+0.043677
## [377] train-mlogloss:0.009165+0.000094 test-mlogloss:1.134781+0.042998
## [378] train-mlogloss:0.009153+0.000091 test-mlogloss:1.134981+0.043284
## [379] train-mlogloss:0.009139+0.000090 test-mlogloss:1.135456+0.042984
## [380] train-mlogloss:0.009129+0.000092 test-mlogloss:1.136291+0.042915
## [381] train-mlogloss:0.009110+0.000090 test-mlogloss:1.135191+0.042824
## [382] train-mlogloss:0.009098+0.000092 test-mlogloss:1.136492+0.042273
## [383] train-mlogloss:0.009088+0.000091 test-mlogloss:1.136559+0.042338
## [384] train-mlogloss:0.009072+0.000091 test-mlogloss:1.136025+0.042245
## [385] train-mlogloss:0.009056+0.000091 test-mlogloss:1.137220+0.041968
## [386] train-mlogloss:0.009038+0.000081 test-mlogloss:1.137590+0.042951
## [387] train-mlogloss:0.009024+0.000078 test-mlogloss:1.137554+0.043034
## [388] train-mlogloss:0.009012+0.000076 test-mlogloss:1.138046+0.042331
## [389] train-mlogloss:0.008996+0.000074 test-mlogloss:1.137972+0.042525
## [390] train-mlogloss:0.008980+0.000075 test-mlogloss:1.138282+0.041785
## [391] train-mlogloss:0.008961+0.000073 test-mlogloss:1.138351+0.041609
## [392] train-mlogloss:0.008947+0.000072 test-mlogloss:1.138120+0.041231
## [393] train-mlogloss:0.008935+0.000068 test-mlogloss:1.138603+0.041555
## [394] train-mlogloss:0.008922+0.000070 test-mlogloss:1.138972+0.041877
## [395] train-mlogloss:0.008910+0.000071 test-mlogloss:1.139185+0.042448
## [396] train-mlogloss:0.008897+0.000070 test-mlogloss:1.138636+0.041815
## [397] train-mlogloss:0.008883+0.000066 test-mlogloss:1.139138+0.042828
## [398] train-mlogloss:0.008872+0.000071 test-mlogloss:1.139490+0.042460
## [399] train-mlogloss:0.008859+0.000070 test-mlogloss:1.140649+0.042718
## [400] train-mlogloss:0.008849+0.000074 test-mlogloss:1.140620+0.042216
## [401] train-mlogloss:0.008835+0.000072 test-mlogloss:1.141080+0.042920
## [402] train-mlogloss:0.008819+0.000067 test-mlogloss:1.141365+0.043509
## [403] train-mlogloss:0.008808+0.000068 test-mlogloss:1.141837+0.043717
## [404] train-mlogloss:0.008797+0.000067 test-mlogloss:1.141113+0.043911
## [405] train-mlogloss:0.008777+0.000066 test-mlogloss:1.141562+0.044167
## [406] train-mlogloss:0.008764+0.000070 test-mlogloss:1.141598+0.044205
## [407] train-mlogloss:0.008752+0.000069 test-mlogloss:1.141564+0.044699
## [408] train-mlogloss:0.008744+0.000070 test-mlogloss:1.141483+0.044335
## [409] train-mlogloss:0.008729+0.000071 test-mlogloss:1.142481+0.044774
## [410] train-mlogloss:0.008717+0.000070 test-mlogloss:1.142367+0.044261
## [411] train-mlogloss:0.008705+0.000068 test-mlogloss:1.143388+0.043891
## [412] train-mlogloss:0.008692+0.000068 test-mlogloss:1.143370+0.044484
## [413] train-mlogloss:0.008684+0.000072 test-mlogloss:1.143292+0.044614
## [414] train-mlogloss:0.008676+0.000071 test-mlogloss:1.143044+0.044931
## [415] train-mlogloss:0.008662+0.000067 test-mlogloss:1.143248+0.045192
## [416] train-mlogloss:0.008650+0.000070 test-mlogloss:1.144314+0.045397
## [417] train-mlogloss:0.008639+0.000069 test-mlogloss:1.144999+0.045097
## [418] train-mlogloss:0.008627+0.000068 test-mlogloss:1.145270+0.044945
## [419] train-mlogloss:0.008614+0.000067 test-mlogloss:1.144886+0.045521
## [420] train-mlogloss:0.008602+0.000067 test-mlogloss:1.145961+0.046036
## [421] train-mlogloss:0.008587+0.000072 test-mlogloss:1.145938+0.046109
## [422] train-mlogloss:0.008578+0.000074 test-mlogloss:1.145177+0.045890
## [423] train-mlogloss:0.008568+0.000072 test-mlogloss:1.145660+0.045773
## [424] train-mlogloss:0.008556+0.000070 test-mlogloss:1.145868+0.046040
## [425] train-mlogloss:0.008543+0.000069 test-mlogloss:1.146397+0.046367
## [426] train-mlogloss:0.008533+0.000069 test-mlogloss:1.147083+0.045761
## [427] train-mlogloss:0.008522+0.000071 test-mlogloss:1.147391+0.045793
## [428] train-mlogloss:0.008512+0.000072 test-mlogloss:1.147952+0.046563
## [429] train-mlogloss:0.008496+0.000070 test-mlogloss:1.148200+0.046406
## [430] train-mlogloss:0.008480+0.000069 test-mlogloss:1.148334+0.046182
## [431] train-mlogloss:0.008469+0.000072 test-mlogloss:1.149142+0.046632
## [432] train-mlogloss:0.008459+0.000069 test-mlogloss:1.148899+0.047135
## [433] train-mlogloss:0.008448+0.000066 test-mlogloss:1.149185+0.046218
## [434] train-mlogloss:0.008438+0.000065 test-mlogloss:1.149168+0.046686
## [435] train-mlogloss:0.008428+0.000062 test-mlogloss:1.150025+0.046084
## [436] train-mlogloss:0.008419+0.000062 test-mlogloss:1.149298+0.046003
## [437] train-mlogloss:0.008411+0.000060 test-mlogloss:1.149745+0.046067
## [438] train-mlogloss:0.008400+0.000060 test-mlogloss:1.149487+0.046050
## [439] train-mlogloss:0.008390+0.000062 test-mlogloss:1.150870+0.046511
## [440] train-mlogloss:0.008379+0.000061 test-mlogloss:1.151917+0.046058
## [441] train-mlogloss:0.008367+0.000061 test-mlogloss:1.152263+0.046018
## [442] train-mlogloss:0.008358+0.000058 test-mlogloss:1.152077+0.047529
## [443] train-mlogloss:0.008347+0.000061 test-mlogloss:1.152606+0.047693
## [444] train-mlogloss:0.008332+0.000059 test-mlogloss:1.152401+0.047901
## [445] train-mlogloss:0.008321+0.000058 test-mlogloss:1.152476+0.047718
## [446] train-mlogloss:0.008309+0.000056 test-mlogloss:1.151938+0.046976
## [447] train-mlogloss:0.008299+0.000056 test-mlogloss:1.151878+0.046864
## [448] train-mlogloss:0.008290+0.000053 test-mlogloss:1.152542+0.047340
## [449] train-mlogloss:0.008281+0.000052 test-mlogloss:1.152539+0.047120
## [450] train-mlogloss:0.008269+0.000049 test-mlogloss:1.152576+0.046852
## [451] train-mlogloss:0.008260+0.000053 test-mlogloss:1.152375+0.047131
## [452] train-mlogloss:0.008249+0.000052 test-mlogloss:1.151883+0.046620
## [453] train-mlogloss:0.008239+0.000049 test-mlogloss:1.152285+0.047847
## [454] train-mlogloss:0.008229+0.000048 test-mlogloss:1.152128+0.047603
## [455] train-mlogloss:0.008222+0.000049 test-mlogloss:1.152928+0.047668
## [456] train-mlogloss:0.008210+0.000048 test-mlogloss:1.152462+0.047914
## [457] train-mlogloss:0.008200+0.000048 test-mlogloss:1.152819+0.047521
## [458] train-mlogloss:0.008187+0.000052 test-mlogloss:1.152256+0.047648
## [459] train-mlogloss:0.008177+0.000051 test-mlogloss:1.151979+0.047770
## [460] train-mlogloss:0.008166+0.000050 test-mlogloss:1.152696+0.047833
## [461] train-mlogloss:0.008156+0.000055 test-mlogloss:1.153026+0.048010
## [462] train-mlogloss:0.008145+0.000054 test-mlogloss:1.153790+0.047869
## [463] train-mlogloss:0.008134+0.000049 test-mlogloss:1.153935+0.048574
## [464] train-mlogloss:0.008126+0.000051 test-mlogloss:1.154656+0.047370
## [465] train-mlogloss:0.008117+0.000053 test-mlogloss:1.154870+0.047737
## [466] train-mlogloss:0.008107+0.000053 test-mlogloss:1.156031+0.046929
## [467] train-mlogloss:0.008096+0.000052 test-mlogloss:1.156083+0.047651
## [468] train-mlogloss:0.008087+0.000051 test-mlogloss:1.155668+0.047913
## [469] train-mlogloss:0.008078+0.000053 test-mlogloss:1.155245+0.047699
## [470] train-mlogloss:0.008070+0.000054 test-mlogloss:1.155206+0.046419
## [471] train-mlogloss:0.008062+0.000056 test-mlogloss:1.154638+0.047107
## [472] train-mlogloss:0.008054+0.000059 test-mlogloss:1.155995+0.047973
## [473] train-mlogloss:0.008046+0.000059 test-mlogloss:1.156651+0.047712
## [474] train-mlogloss:0.008036+0.000058 test-mlogloss:1.156464+0.047541
## [475] train-mlogloss:0.008027+0.000061 test-mlogloss:1.157240+0.047257
## [476] train-mlogloss:0.008019+0.000060 test-mlogloss:1.157904+0.046437
## [477] train-mlogloss:0.008007+0.000059 test-mlogloss:1.157328+0.046743
## [478] train-mlogloss:0.007997+0.000059 test-mlogloss:1.156999+0.046249
## [479] train-mlogloss:0.007988+0.000059 test-mlogloss:1.157599+0.045490
## [480] train-mlogloss:0.007979+0.000058 test-mlogloss:1.157460+0.045752
## [481] train-mlogloss:0.007973+0.000058 test-mlogloss:1.158612+0.046398
## [482] train-mlogloss:0.007958+0.000056 test-mlogloss:1.157856+0.046175
## [483] train-mlogloss:0.007948+0.000057 test-mlogloss:1.157985+0.046211
## [484] train-mlogloss:0.007939+0.000060 test-mlogloss:1.157880+0.046414
## [485] train-mlogloss:0.007930+0.000057 test-mlogloss:1.158435+0.046503
## [486] train-mlogloss:0.007921+0.000055 test-mlogloss:1.158531+0.046416
## [487] train-mlogloss:0.007907+0.000055 test-mlogloss:1.158599+0.046935
## [488] train-mlogloss:0.007898+0.000056 test-mlogloss:1.158232+0.047405
## [489] train-mlogloss:0.007890+0.000058 test-mlogloss:1.159755+0.047380
## [490] train-mlogloss:0.007881+0.000054 test-mlogloss:1.159164+0.047667
## [491] train-mlogloss:0.007874+0.000055 test-mlogloss:1.159253+0.047953
## [492] train-mlogloss:0.007864+0.000057 test-mlogloss:1.159068+0.048490
## [493] train-mlogloss:0.007855+0.000060 test-mlogloss:1.159128+0.048732
## [494] train-mlogloss:0.007848+0.000063 test-mlogloss:1.159233+0.048439
## [495] train-mlogloss:0.007838+0.000062 test-mlogloss:1.159966+0.048938
## [496] train-mlogloss:0.007829+0.000062 test-mlogloss:1.159806+0.048862
## [497] train-mlogloss:0.007823+0.000059 test-mlogloss:1.160311+0.048473
## [498] train-mlogloss:0.007813+0.000062 test-mlogloss:1.160801+0.048825
## [499] train-mlogloss:0.007802+0.000067 test-mlogloss:1.160445+0.048463
## [500] train-mlogloss:0.007794+0.000066 test-mlogloss:1.160727+0.049003
## [1] train-mlogloss:0.523957+0.001149 test-mlogloss:0.547116+0.004964
## [2] train-mlogloss:0.505158+0.000686 test-mlogloss:0.545179+0.007185
## [3] train-mlogloss:0.496805+0.002378 test-mlogloss:0.548577+0.009413
## [4] train-mlogloss:0.487546+0.003749 test-mlogloss:0.553902+0.010081
## [5] train-mlogloss:0.479375+0.002038 test-mlogloss:0.558238+0.009091
## [6] train-mlogloss:0.472440+0.002304 test-mlogloss:0.563679+0.010192
## [7] train-mlogloss:0.463711+0.003271 test-mlogloss:0.570111+0.012319
## [8] train-mlogloss:0.456116+0.003777 test-mlogloss:0.576542+0.010027
## [9] train-mlogloss:0.449776+0.004181 test-mlogloss:0.580800+0.010900
## [10] train-mlogloss:0.442660+0.004132 test-mlogloss:0.585508+0.012341
## [11] train-mlogloss:0.435723+0.005203 test-mlogloss:0.588550+0.012413
## [12] train-mlogloss:0.429305+0.006150 test-mlogloss:0.589639+0.011113
## [13] train-mlogloss:0.421927+0.006634 test-mlogloss:0.594552+0.010737
## [14] train-mlogloss:0.415133+0.007241 test-mlogloss:0.599117+0.010119
## [15] train-mlogloss:0.408670+0.007640 test-mlogloss:0.603203+0.010978
## [16] train-mlogloss:0.402816+0.007104 test-mlogloss:0.605946+0.012379
## [17] train-mlogloss:0.397456+0.006670 test-mlogloss:0.609377+0.010406
## [18] train-mlogloss:0.392185+0.006934 test-mlogloss:0.612945+0.009529
## [19] train-mlogloss:0.387503+0.006608 test-mlogloss:0.614332+0.007330
## [20] train-mlogloss:0.380948+0.005768 test-mlogloss:0.618540+0.009297
## [21] train-mlogloss:0.374740+0.004267 test-mlogloss:0.624375+0.009122
## [22] train-mlogloss:0.370749+0.003937 test-mlogloss:0.628577+0.009889
## [23] train-mlogloss:0.365056+0.003147 test-mlogloss:0.632417+0.009670
## [24] train-mlogloss:0.359064+0.003527 test-mlogloss:0.636810+0.008676
## [25] train-mlogloss:0.354640+0.004291 test-mlogloss:0.639993+0.008243
## [26] train-mlogloss:0.349658+0.003839 test-mlogloss:0.646769+0.005507
## [27] train-mlogloss:0.343710+0.004645 test-mlogloss:0.651826+0.004048
## [28] train-mlogloss:0.338640+0.004090 test-mlogloss:0.655419+0.002055
## [29] train-mlogloss:0.332627+0.003526 test-mlogloss:0.658237+0.003343
## [30] train-mlogloss:0.327361+0.003144 test-mlogloss:0.660493+0.003070
## [31] train-mlogloss:0.322071+0.002525 test-mlogloss:0.666750+0.006749
## [32] train-mlogloss:0.317630+0.003091 test-mlogloss:0.669904+0.006717
## [33] train-mlogloss:0.313555+0.003685 test-mlogloss:0.675893+0.005458
## [34] train-mlogloss:0.308710+0.003008 test-mlogloss:0.681663+0.006688
## [35] train-mlogloss:0.303383+0.003112 test-mlogloss:0.686298+0.006140
## [36] train-mlogloss:0.299267+0.002692 test-mlogloss:0.688993+0.005120
## [37] train-mlogloss:0.295386+0.002209 test-mlogloss:0.691991+0.004938
## [38] train-mlogloss:0.291160+0.002930 test-mlogloss:0.694953+0.006205
## [39] train-mlogloss:0.286840+0.003701 test-mlogloss:0.700577+0.003286
## [40] train-mlogloss:0.282842+0.003582 test-mlogloss:0.704088+0.004339
## [41] train-mlogloss:0.279902+0.003150 test-mlogloss:0.707462+0.004271
## [42] train-mlogloss:0.275804+0.002917 test-mlogloss:0.710422+0.006290
## [43] train-mlogloss:0.271731+0.002784 test-mlogloss:0.714635+0.007643
## [44] train-mlogloss:0.267782+0.002902 test-mlogloss:0.716938+0.006265
## [45] train-mlogloss:0.263994+0.003437 test-mlogloss:0.720834+0.006904
## [46] train-mlogloss:0.260574+0.003232 test-mlogloss:0.725637+0.010809
## [47] train-mlogloss:0.256839+0.002700 test-mlogloss:0.730563+0.010700
## [48] train-mlogloss:0.253094+0.002708 test-mlogloss:0.733403+0.012014
## [49] train-mlogloss:0.249284+0.002943 test-mlogloss:0.737950+0.011834
## [50] train-mlogloss:0.246167+0.002984 test-mlogloss:0.741494+0.011785
## [51] train-mlogloss:0.242487+0.003732 test-mlogloss:0.744141+0.009878
## [52] train-mlogloss:0.238963+0.003765 test-mlogloss:0.747059+0.009186
## [53] train-mlogloss:0.235449+0.003792 test-mlogloss:0.749558+0.008917
## [54] train-mlogloss:0.232271+0.003645 test-mlogloss:0.754291+0.011739
## [55] train-mlogloss:0.228967+0.003341 test-mlogloss:0.755298+0.011609
## [56] train-mlogloss:0.226172+0.002923 test-mlogloss:0.758552+0.011844
## [57] train-mlogloss:0.223188+0.003196 test-mlogloss:0.763265+0.012965
## [58] train-mlogloss:0.220006+0.003356 test-mlogloss:0.768110+0.012573
## [59] train-mlogloss:0.217383+0.003573 test-mlogloss:0.769791+0.011989
## [60] train-mlogloss:0.214017+0.003107 test-mlogloss:0.773003+0.013310
## [61] train-mlogloss:0.211049+0.003226 test-mlogloss:0.774027+0.011078
## [62] train-mlogloss:0.208549+0.003272 test-mlogloss:0.776450+0.011829
## [63] train-mlogloss:0.205666+0.003086 test-mlogloss:0.781053+0.011667
## [64] train-mlogloss:0.202402+0.003024 test-mlogloss:0.784977+0.010457
## [65] train-mlogloss:0.199645+0.002785 test-mlogloss:0.787512+0.011780
## [66] train-mlogloss:0.197747+0.002863 test-mlogloss:0.790342+0.011975
## [67] train-mlogloss:0.195866+0.002762 test-mlogloss:0.793113+0.013490
## [68] train-mlogloss:0.193181+0.002550 test-mlogloss:0.795866+0.013827
## [69] train-mlogloss:0.190616+0.002766 test-mlogloss:0.797268+0.010091
## [70] train-mlogloss:0.187527+0.002693 test-mlogloss:0.802845+0.010048
## [71] train-mlogloss:0.184771+0.002717 test-mlogloss:0.804235+0.012064
## [72] train-mlogloss:0.182380+0.002847 test-mlogloss:0.806855+0.012837
## [73] train-mlogloss:0.180015+0.002867 test-mlogloss:0.809038+0.012814
## [74] train-mlogloss:0.177121+0.002790 test-mlogloss:0.812354+0.010056
## [75] train-mlogloss:0.175185+0.002921 test-mlogloss:0.815777+0.008564
## [76] train-mlogloss:0.172756+0.002698 test-mlogloss:0.821732+0.009226
## [77] train-mlogloss:0.170524+0.002999 test-mlogloss:0.822936+0.007613
## [78] train-mlogloss:0.168068+0.003055 test-mlogloss:0.827204+0.009960
## [79] train-mlogloss:0.166136+0.003491 test-mlogloss:0.831097+0.010023
## [80] train-mlogloss:0.164085+0.003693 test-mlogloss:0.833271+0.010199
## [81] train-mlogloss:0.161602+0.004124 test-mlogloss:0.837580+0.008449
## [82] train-mlogloss:0.159381+0.004098 test-mlogloss:0.840835+0.007540
## [83] train-mlogloss:0.157384+0.003845 test-mlogloss:0.842186+0.007876
## [84] train-mlogloss:0.155178+0.003361 test-mlogloss:0.843132+0.010203
## [85] train-mlogloss:0.153388+0.003396 test-mlogloss:0.845663+0.008418
## [86] train-mlogloss:0.151501+0.004016 test-mlogloss:0.847077+0.006438
## [87] train-mlogloss:0.149049+0.004098 test-mlogloss:0.848946+0.008142
## [88] train-mlogloss:0.147219+0.003894 test-mlogloss:0.852664+0.009356
## [89] train-mlogloss:0.145423+0.003846 test-mlogloss:0.853675+0.009615
## [90] train-mlogloss:0.143816+0.004335 test-mlogloss:0.854318+0.013556
## [91] train-mlogloss:0.141442+0.004323 test-mlogloss:0.858077+0.012814
## [92] train-mlogloss:0.139781+0.004130 test-mlogloss:0.860812+0.012435
## [93] train-mlogloss:0.138006+0.004166 test-mlogloss:0.863453+0.015187
## [94] train-mlogloss:0.136107+0.004380 test-mlogloss:0.867014+0.015657
## [95] train-mlogloss:0.133754+0.004397 test-mlogloss:0.869021+0.015157
## [96] train-mlogloss:0.132014+0.004412 test-mlogloss:0.871573+0.012800
## [97] train-mlogloss:0.130195+0.004140 test-mlogloss:0.875517+0.014767
## [98] train-mlogloss:0.128377+0.004140 test-mlogloss:0.878324+0.013929
## [99] train-mlogloss:0.126517+0.004394 test-mlogloss:0.880932+0.015307
## [100] train-mlogloss:0.125240+0.004247 test-mlogloss:0.882892+0.014806
## [101] train-mlogloss:0.123312+0.003998 test-mlogloss:0.885375+0.015899
## [102] train-mlogloss:0.121539+0.003820 test-mlogloss:0.887513+0.015765
## [103] train-mlogloss:0.119862+0.003637 test-mlogloss:0.887081+0.015577
## [104] train-mlogloss:0.118167+0.003402 test-mlogloss:0.887454+0.016444
## [105] train-mlogloss:0.116745+0.003258 test-mlogloss:0.891151+0.013640
## [106] train-mlogloss:0.115309+0.003016 test-mlogloss:0.894342+0.014938
## [107] train-mlogloss:0.113707+0.002873 test-mlogloss:0.893159+0.016179
## [108] train-mlogloss:0.112469+0.002887 test-mlogloss:0.896014+0.015938
## [109] train-mlogloss:0.111253+0.003085 test-mlogloss:0.896916+0.016258
## [110] train-mlogloss:0.109621+0.003205 test-mlogloss:0.898179+0.013432
## [111] train-mlogloss:0.108508+0.003282 test-mlogloss:0.898788+0.013794
## [112] train-mlogloss:0.107470+0.002987 test-mlogloss:0.901641+0.012987
## [113] train-mlogloss:0.106279+0.002954 test-mlogloss:0.902239+0.013166
## [114] train-mlogloss:0.105026+0.002906 test-mlogloss:0.906477+0.013079
## [115] train-mlogloss:0.103883+0.002550 test-mlogloss:0.907310+0.012907
## [116] train-mlogloss:0.102636+0.002904 test-mlogloss:0.910660+0.011801
## [117] train-mlogloss:0.101672+0.003118 test-mlogloss:0.912086+0.013851
## [118] train-mlogloss:0.100504+0.003043 test-mlogloss:0.913984+0.014266
## [119] train-mlogloss:0.099083+0.002760 test-mlogloss:0.916691+0.014786
## [120] train-mlogloss:0.097742+0.002689 test-mlogloss:0.920008+0.015445
## [121] train-mlogloss:0.096620+0.002771 test-mlogloss:0.922218+0.015423
## [122] train-mlogloss:0.095734+0.002720 test-mlogloss:0.925177+0.016328
## [123] train-mlogloss:0.094832+0.002876 test-mlogloss:0.925472+0.018856
## [124] train-mlogloss:0.093855+0.002491 test-mlogloss:0.928109+0.017974
## [125] train-mlogloss:0.092555+0.002391 test-mlogloss:0.931284+0.015336
## [126] train-mlogloss:0.091354+0.002213 test-mlogloss:0.933165+0.012834
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## [130] train-mlogloss:0.087157+0.002025 test-mlogloss:0.940650+0.013795
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## [139] train-mlogloss:0.078754+0.002063 test-mlogloss:0.961326+0.017307
## [140] train-mlogloss:0.078039+0.002014 test-mlogloss:0.962604+0.016157
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## [143] train-mlogloss:0.075567+0.001850 test-mlogloss:0.965677+0.018004
## [144] train-mlogloss:0.074827+0.001732 test-mlogloss:0.967513+0.017906
## [145] train-mlogloss:0.073987+0.001574 test-mlogloss:0.969470+0.016191
## [146] train-mlogloss:0.073230+0.001566 test-mlogloss:0.971442+0.015423
## [147] train-mlogloss:0.072452+0.001559 test-mlogloss:0.971782+0.015181
## [148] train-mlogloss:0.071732+0.001510 test-mlogloss:0.973993+0.017150
## [149] train-mlogloss:0.070819+0.001551 test-mlogloss:0.975219+0.017851
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## [154] train-mlogloss:0.067118+0.001223 test-mlogloss:0.987395+0.017139
## [155] train-mlogloss:0.066304+0.001093 test-mlogloss:0.989511+0.018776
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## [157] train-mlogloss:0.064901+0.001254 test-mlogloss:0.993176+0.017948
## [158] train-mlogloss:0.064354+0.001292 test-mlogloss:0.993395+0.018807
## [159] train-mlogloss:0.063598+0.001240 test-mlogloss:0.996865+0.018425
## [160] train-mlogloss:0.062778+0.001336 test-mlogloss:0.999059+0.018571
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## [162] train-mlogloss:0.061484+0.001267 test-mlogloss:1.003141+0.018505
## [163] train-mlogloss:0.060851+0.001149 test-mlogloss:1.005336+0.017891
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## [166] train-mlogloss:0.059180+0.001020 test-mlogloss:1.009259+0.013662
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## [168] train-mlogloss:0.058072+0.001022 test-mlogloss:1.013000+0.015498
## [169] train-mlogloss:0.057490+0.000942 test-mlogloss:1.014883+0.016242
## [170] train-mlogloss:0.056987+0.000917 test-mlogloss:1.015872+0.015989
## [171] train-mlogloss:0.056388+0.000874 test-mlogloss:1.015476+0.014245
## [172] train-mlogloss:0.055873+0.001003 test-mlogloss:1.019294+0.016520
## [173] train-mlogloss:0.055316+0.000910 test-mlogloss:1.021289+0.015303
## [174] train-mlogloss:0.054789+0.000747 test-mlogloss:1.022736+0.013480
## [175] train-mlogloss:0.054227+0.000717 test-mlogloss:1.024239+0.012481
## [176] train-mlogloss:0.053783+0.000739 test-mlogloss:1.023658+0.010821
## [177] train-mlogloss:0.053349+0.000664 test-mlogloss:1.025166+0.012116
## [178] train-mlogloss:0.052967+0.000660 test-mlogloss:1.025368+0.013847
## [179] train-mlogloss:0.052440+0.000565 test-mlogloss:1.025925+0.012166
## [180] train-mlogloss:0.052019+0.000480 test-mlogloss:1.027858+0.011102
## [181] train-mlogloss:0.051561+0.000398 test-mlogloss:1.030195+0.010212
## [182] train-mlogloss:0.051102+0.000346 test-mlogloss:1.033334+0.011241
## [183] train-mlogloss:0.050640+0.000370 test-mlogloss:1.035553+0.010119
## [184] train-mlogloss:0.050172+0.000368 test-mlogloss:1.035339+0.009777
## [185] train-mlogloss:0.049691+0.000381 test-mlogloss:1.036018+0.009919
## [186] train-mlogloss:0.049161+0.000405 test-mlogloss:1.036661+0.010124
## [187] train-mlogloss:0.048754+0.000355 test-mlogloss:1.038045+0.011518
## [188] train-mlogloss:0.048402+0.000365 test-mlogloss:1.038521+0.010607
## [189] train-mlogloss:0.047966+0.000395 test-mlogloss:1.040032+0.010916
## [190] train-mlogloss:0.047549+0.000416 test-mlogloss:1.041427+0.011106
## [191] train-mlogloss:0.047108+0.000303 test-mlogloss:1.043717+0.010900
## [192] train-mlogloss:0.046803+0.000206 test-mlogloss:1.045418+0.011370
## [193] train-mlogloss:0.046473+0.000252 test-mlogloss:1.047546+0.012858
## [194] train-mlogloss:0.046104+0.000240 test-mlogloss:1.048207+0.012266
## [195] train-mlogloss:0.045808+0.000179 test-mlogloss:1.049892+0.012621
## [196] train-mlogloss:0.045411+0.000208 test-mlogloss:1.052422+0.012804
## [197] train-mlogloss:0.045096+0.000284 test-mlogloss:1.053542+0.012576
## [198] train-mlogloss:0.044758+0.000255 test-mlogloss:1.053572+0.010796
## [199] train-mlogloss:0.044415+0.000288 test-mlogloss:1.055187+0.012144
## [200] train-mlogloss:0.044128+0.000280 test-mlogloss:1.058467+0.011796
## [201] train-mlogloss:0.043762+0.000265 test-mlogloss:1.058081+0.012736
## [202] train-mlogloss:0.043438+0.000268 test-mlogloss:1.058913+0.011704
## [203] train-mlogloss:0.043094+0.000320 test-mlogloss:1.061173+0.012044
## [204] train-mlogloss:0.042782+0.000293 test-mlogloss:1.061901+0.013284
## [205] train-mlogloss:0.042471+0.000322 test-mlogloss:1.061781+0.013533
## [206] train-mlogloss:0.042200+0.000321 test-mlogloss:1.063152+0.013608
## [207] train-mlogloss:0.041814+0.000426 test-mlogloss:1.062550+0.013288
## [208] train-mlogloss:0.041549+0.000341 test-mlogloss:1.063969+0.014130
## [209] train-mlogloss:0.041269+0.000440 test-mlogloss:1.066127+0.014578
## [210] train-mlogloss:0.040911+0.000403 test-mlogloss:1.066458+0.013603
## [211] train-mlogloss:0.040613+0.000464 test-mlogloss:1.068012+0.014672
## [212] train-mlogloss:0.040284+0.000511 test-mlogloss:1.068170+0.015024
## [213] train-mlogloss:0.039978+0.000529 test-mlogloss:1.068528+0.014103
## [214] train-mlogloss:0.039686+0.000552 test-mlogloss:1.071679+0.015809
## [215] train-mlogloss:0.039388+0.000480 test-mlogloss:1.073306+0.016230
## [216] train-mlogloss:0.039113+0.000475 test-mlogloss:1.075086+0.015620
## [217] train-mlogloss:0.038801+0.000509 test-mlogloss:1.077119+0.017147
## [218] train-mlogloss:0.038516+0.000555 test-mlogloss:1.078190+0.017965
## [219] train-mlogloss:0.038182+0.000536 test-mlogloss:1.078026+0.017969
## [220] train-mlogloss:0.037892+0.000524 test-mlogloss:1.078678+0.017665
## [221] train-mlogloss:0.037587+0.000530 test-mlogloss:1.080677+0.016764
## [222] train-mlogloss:0.037281+0.000458 test-mlogloss:1.081441+0.015195
## [223] train-mlogloss:0.037030+0.000465 test-mlogloss:1.083498+0.016337
## [224] train-mlogloss:0.036779+0.000398 test-mlogloss:1.085426+0.017462
## [225] train-mlogloss:0.036602+0.000406 test-mlogloss:1.086843+0.017220
## [226] train-mlogloss:0.036308+0.000475 test-mlogloss:1.087277+0.018578
## [227] train-mlogloss:0.036072+0.000471 test-mlogloss:1.089535+0.015923
## [228] train-mlogloss:0.035903+0.000458 test-mlogloss:1.091335+0.015355
## [229] train-mlogloss:0.035679+0.000499 test-mlogloss:1.090907+0.016736
## [230] train-mlogloss:0.035508+0.000493 test-mlogloss:1.092152+0.015063
## [231] train-mlogloss:0.035258+0.000500 test-mlogloss:1.092839+0.015301
## [232] train-mlogloss:0.035071+0.000485 test-mlogloss:1.094468+0.014837
## [233] train-mlogloss:0.034847+0.000533 test-mlogloss:1.096368+0.014588
## [234] train-mlogloss:0.034654+0.000534 test-mlogloss:1.096976+0.014517
## [235] train-mlogloss:0.034465+0.000514 test-mlogloss:1.097583+0.013136
## [236] train-mlogloss:0.034271+0.000569 test-mlogloss:1.097404+0.012440
## [237] train-mlogloss:0.034111+0.000569 test-mlogloss:1.099018+0.012109
## [238] train-mlogloss:0.033957+0.000557 test-mlogloss:1.100015+0.012223
## [239] train-mlogloss:0.033701+0.000561 test-mlogloss:1.100965+0.012150
## [240] train-mlogloss:0.033507+0.000544 test-mlogloss:1.100637+0.011252
## [241] train-mlogloss:0.033286+0.000523 test-mlogloss:1.102458+0.012699
## [242] train-mlogloss:0.033069+0.000475 test-mlogloss:1.103894+0.013412
## [243] train-mlogloss:0.032807+0.000477 test-mlogloss:1.103325+0.013211
## [244] train-mlogloss:0.032609+0.000497 test-mlogloss:1.104570+0.013797
## [245] train-mlogloss:0.032391+0.000512 test-mlogloss:1.104565+0.013018
## [246] train-mlogloss:0.032108+0.000512 test-mlogloss:1.106720+0.013759
## [247] train-mlogloss:0.031902+0.000521 test-mlogloss:1.107927+0.015002
## [248] train-mlogloss:0.031698+0.000552 test-mlogloss:1.108862+0.014990
## [249] train-mlogloss:0.031544+0.000542 test-mlogloss:1.108800+0.013926
## [250] train-mlogloss:0.031344+0.000584 test-mlogloss:1.109252+0.015099
## [251] train-mlogloss:0.031146+0.000633 test-mlogloss:1.110333+0.013369
## [252] train-mlogloss:0.030939+0.000614 test-mlogloss:1.110290+0.012860
## [253] train-mlogloss:0.030781+0.000636 test-mlogloss:1.111211+0.013752
## [254] train-mlogloss:0.030601+0.000650 test-mlogloss:1.111468+0.012033
## [255] train-mlogloss:0.030380+0.000606 test-mlogloss:1.113591+0.012985
## [256] train-mlogloss:0.030195+0.000599 test-mlogloss:1.114021+0.012368
## [257] train-mlogloss:0.030045+0.000611 test-mlogloss:1.113312+0.011489
## [258] train-mlogloss:0.029895+0.000607 test-mlogloss:1.114724+0.011908
## [259] train-mlogloss:0.029727+0.000627 test-mlogloss:1.116413+0.012672
## [260] train-mlogloss:0.029526+0.000579 test-mlogloss:1.118086+0.012870
## [261] train-mlogloss:0.029344+0.000605 test-mlogloss:1.118714+0.013646
## [262] train-mlogloss:0.029138+0.000614 test-mlogloss:1.119563+0.014576
## [263] train-mlogloss:0.028940+0.000579 test-mlogloss:1.121265+0.014757
## [264] train-mlogloss:0.028785+0.000598 test-mlogloss:1.122324+0.014759
## [265] train-mlogloss:0.028588+0.000599 test-mlogloss:1.122944+0.015554
## [266] train-mlogloss:0.028439+0.000598 test-mlogloss:1.123932+0.014116
## [267] train-mlogloss:0.028299+0.000578 test-mlogloss:1.124103+0.012723
## [268] train-mlogloss:0.028128+0.000579 test-mlogloss:1.124241+0.012708
## [269] train-mlogloss:0.027959+0.000540 test-mlogloss:1.126673+0.013461
## [270] train-mlogloss:0.027771+0.000565 test-mlogloss:1.126501+0.012688
## [271] train-mlogloss:0.027562+0.000509 test-mlogloss:1.126014+0.011401
## [272] train-mlogloss:0.027453+0.000537 test-mlogloss:1.126181+0.010273
## [273] train-mlogloss:0.027295+0.000501 test-mlogloss:1.126055+0.008116
## [274] train-mlogloss:0.027113+0.000486 test-mlogloss:1.126206+0.009696
## [275] train-mlogloss:0.026971+0.000473 test-mlogloss:1.127234+0.009381
## [276] train-mlogloss:0.026830+0.000490 test-mlogloss:1.128232+0.010415
## [277] train-mlogloss:0.026639+0.000543 test-mlogloss:1.128246+0.009237
## [278] train-mlogloss:0.026510+0.000527 test-mlogloss:1.129114+0.009104
## [279] train-mlogloss:0.026355+0.000493 test-mlogloss:1.130004+0.008092
## [280] train-mlogloss:0.026217+0.000506 test-mlogloss:1.130645+0.008147
## [281] train-mlogloss:0.026080+0.000504 test-mlogloss:1.133548+0.008424
## [282] train-mlogloss:0.025919+0.000504 test-mlogloss:1.134102+0.008170
## [283] train-mlogloss:0.025761+0.000488 test-mlogloss:1.134697+0.009858
## [284] train-mlogloss:0.025643+0.000473 test-mlogloss:1.135202+0.009907
## [285] train-mlogloss:0.025486+0.000458 test-mlogloss:1.136730+0.009691
## [286] train-mlogloss:0.025352+0.000447 test-mlogloss:1.137289+0.009901
## [287] train-mlogloss:0.025189+0.000461 test-mlogloss:1.136869+0.011399
## [288] train-mlogloss:0.025055+0.000465 test-mlogloss:1.137930+0.012547
## [289] train-mlogloss:0.024945+0.000424 test-mlogloss:1.137784+0.013335
## [290] train-mlogloss:0.024758+0.000412 test-mlogloss:1.139412+0.011722
## [291] train-mlogloss:0.024639+0.000423 test-mlogloss:1.139138+0.010349
## [292] train-mlogloss:0.024506+0.000405 test-mlogloss:1.140223+0.010313
## [293] train-mlogloss:0.024335+0.000411 test-mlogloss:1.141043+0.010880
## [294] train-mlogloss:0.024214+0.000416 test-mlogloss:1.141626+0.010714
## [295] train-mlogloss:0.024101+0.000437 test-mlogloss:1.142629+0.009834
## [296] train-mlogloss:0.024002+0.000437 test-mlogloss:1.142399+0.010656
## [297] train-mlogloss:0.023890+0.000441 test-mlogloss:1.142585+0.009943
## [298] train-mlogloss:0.023760+0.000442 test-mlogloss:1.143637+0.010064
## [299] train-mlogloss:0.023631+0.000457 test-mlogloss:1.145521+0.009627
## [300] train-mlogloss:0.023516+0.000462 test-mlogloss:1.146597+0.010934
## [301] train-mlogloss:0.023415+0.000449 test-mlogloss:1.147583+0.010607
## [302] train-mlogloss:0.023296+0.000475 test-mlogloss:1.149409+0.010728
## [303] train-mlogloss:0.023183+0.000464 test-mlogloss:1.150001+0.012378
## [304] train-mlogloss:0.023080+0.000468 test-mlogloss:1.150401+0.012651
## [305] train-mlogloss:0.022968+0.000457 test-mlogloss:1.150938+0.012346
## [306] train-mlogloss:0.022853+0.000463 test-mlogloss:1.152857+0.014147
## [307] train-mlogloss:0.022732+0.000465 test-mlogloss:1.153772+0.013810
## [308] train-mlogloss:0.022610+0.000466 test-mlogloss:1.155172+0.013176
## [309] train-mlogloss:0.022523+0.000461 test-mlogloss:1.155218+0.013544
## [310] train-mlogloss:0.022413+0.000436 test-mlogloss:1.155356+0.014713
## [311] train-mlogloss:0.022315+0.000417 test-mlogloss:1.155977+0.014236
## [312] train-mlogloss:0.022193+0.000425 test-mlogloss:1.156699+0.014340
## [313] train-mlogloss:0.022099+0.000418 test-mlogloss:1.155618+0.014873
## [314] train-mlogloss:0.022005+0.000426 test-mlogloss:1.155788+0.014244
## [315] train-mlogloss:0.021895+0.000379 test-mlogloss:1.155545+0.014158
## [316] train-mlogloss:0.021789+0.000399 test-mlogloss:1.153798+0.014719
## [317] train-mlogloss:0.021664+0.000402 test-mlogloss:1.155704+0.013916
## [318] train-mlogloss:0.021597+0.000409 test-mlogloss:1.155684+0.014142
## [319] train-mlogloss:0.021486+0.000385 test-mlogloss:1.156679+0.014395
## [320] train-mlogloss:0.021392+0.000363 test-mlogloss:1.158251+0.013968
## [321] train-mlogloss:0.021321+0.000344 test-mlogloss:1.159537+0.013948
## [322] train-mlogloss:0.021231+0.000340 test-mlogloss:1.161027+0.013632
## [323] train-mlogloss:0.021139+0.000342 test-mlogloss:1.161977+0.014533
## [324] train-mlogloss:0.021045+0.000327 test-mlogloss:1.161954+0.014246
## [325] train-mlogloss:0.020961+0.000334 test-mlogloss:1.163092+0.015456
## [326] train-mlogloss:0.020870+0.000370 test-mlogloss:1.164589+0.015991
## [327] train-mlogloss:0.020790+0.000367 test-mlogloss:1.165745+0.014673
## [328] train-mlogloss:0.020718+0.000383 test-mlogloss:1.166698+0.014712
## [329] train-mlogloss:0.020640+0.000356 test-mlogloss:1.167746+0.012992
## [330] train-mlogloss:0.020541+0.000384 test-mlogloss:1.167712+0.013307
## [331] train-mlogloss:0.020442+0.000415 test-mlogloss:1.168311+0.013302
## [332] train-mlogloss:0.020342+0.000396 test-mlogloss:1.169728+0.013373
## [333] train-mlogloss:0.020231+0.000404 test-mlogloss:1.170455+0.013345
## [334] train-mlogloss:0.020144+0.000415 test-mlogloss:1.171484+0.014875
## [335] train-mlogloss:0.020063+0.000424 test-mlogloss:1.171445+0.014350
## [336] train-mlogloss:0.019955+0.000413 test-mlogloss:1.172315+0.015768
## [337] train-mlogloss:0.019886+0.000410 test-mlogloss:1.171527+0.015053
## [338] train-mlogloss:0.019802+0.000399 test-mlogloss:1.172428+0.014248
## [339] train-mlogloss:0.019717+0.000401 test-mlogloss:1.173603+0.015153
## [340] train-mlogloss:0.019644+0.000398 test-mlogloss:1.175397+0.014704
## [341] train-mlogloss:0.019568+0.000386 test-mlogloss:1.175683+0.014618
## [342] train-mlogloss:0.019478+0.000383 test-mlogloss:1.176646+0.015583
## [343] train-mlogloss:0.019407+0.000372 test-mlogloss:1.177052+0.015486
## [344] train-mlogloss:0.019325+0.000375 test-mlogloss:1.177481+0.014429
## [345] train-mlogloss:0.019245+0.000360 test-mlogloss:1.179419+0.014380
## [346] train-mlogloss:0.019167+0.000350 test-mlogloss:1.179304+0.014162
## [347] train-mlogloss:0.019083+0.000351 test-mlogloss:1.178847+0.014719
## [348] train-mlogloss:0.019029+0.000355 test-mlogloss:1.179545+0.014320
## [349] train-mlogloss:0.018964+0.000342 test-mlogloss:1.180108+0.015421
## [350] train-mlogloss:0.018891+0.000314 test-mlogloss:1.179376+0.015124
## [351] train-mlogloss:0.018821+0.000324 test-mlogloss:1.180606+0.014889
## [352] train-mlogloss:0.018727+0.000313 test-mlogloss:1.181165+0.014451
## [353] train-mlogloss:0.018643+0.000291 test-mlogloss:1.181716+0.014249
## [354] train-mlogloss:0.018566+0.000288 test-mlogloss:1.182676+0.014626
## [355] train-mlogloss:0.018473+0.000281 test-mlogloss:1.183605+0.015066
## [356] train-mlogloss:0.018398+0.000274 test-mlogloss:1.183965+0.014430
## [357] train-mlogloss:0.018349+0.000261 test-mlogloss:1.184251+0.014549
## [358] train-mlogloss:0.018259+0.000273 test-mlogloss:1.184961+0.014833
## [359] train-mlogloss:0.018179+0.000272 test-mlogloss:1.186852+0.014565
## [360] train-mlogloss:0.018096+0.000280 test-mlogloss:1.186672+0.015183
## [361] train-mlogloss:0.018038+0.000273 test-mlogloss:1.187104+0.014419
## [362] train-mlogloss:0.017959+0.000282 test-mlogloss:1.188306+0.014230
## [363] train-mlogloss:0.017894+0.000269 test-mlogloss:1.189196+0.015351
## [364] train-mlogloss:0.017820+0.000272 test-mlogloss:1.191096+0.015819
## [365] train-mlogloss:0.017739+0.000260 test-mlogloss:1.192015+0.015194
## [366] train-mlogloss:0.017685+0.000255 test-mlogloss:1.192844+0.015125
## [367] train-mlogloss:0.017618+0.000263 test-mlogloss:1.195040+0.016267
## [368] train-mlogloss:0.017549+0.000241 test-mlogloss:1.195065+0.015810
## [369] train-mlogloss:0.017484+0.000229 test-mlogloss:1.194746+0.015956
## [370] train-mlogloss:0.017423+0.000247 test-mlogloss:1.195880+0.015391
## [371] train-mlogloss:0.017365+0.000239 test-mlogloss:1.196985+0.014880
## [372] train-mlogloss:0.017296+0.000237 test-mlogloss:1.197664+0.014388
## [373] train-mlogloss:0.017216+0.000218 test-mlogloss:1.199877+0.015207
## [374] train-mlogloss:0.017148+0.000239 test-mlogloss:1.200627+0.016399
## [375] train-mlogloss:0.017066+0.000248 test-mlogloss:1.200202+0.015386
## [376] train-mlogloss:0.017027+0.000241 test-mlogloss:1.202158+0.015335
## [377] train-mlogloss:0.016961+0.000248 test-mlogloss:1.201655+0.014701
## [378] train-mlogloss:0.016895+0.000259 test-mlogloss:1.203306+0.014456
## [379] train-mlogloss:0.016829+0.000262 test-mlogloss:1.204447+0.015563
## [380] train-mlogloss:0.016776+0.000280 test-mlogloss:1.205017+0.015988
## [381] train-mlogloss:0.016714+0.000304 test-mlogloss:1.204396+0.016260
## [382] train-mlogloss:0.016654+0.000305 test-mlogloss:1.204825+0.014526
## [383] train-mlogloss:0.016602+0.000311 test-mlogloss:1.206578+0.015029
## [384] train-mlogloss:0.016557+0.000314 test-mlogloss:1.206922+0.016176
## [385] train-mlogloss:0.016490+0.000318 test-mlogloss:1.208022+0.015690
## [386] train-mlogloss:0.016431+0.000311 test-mlogloss:1.207829+0.016591
## [387] train-mlogloss:0.016373+0.000319 test-mlogloss:1.207999+0.016069
## [388] train-mlogloss:0.016303+0.000321 test-mlogloss:1.208488+0.016211
## [389] train-mlogloss:0.016254+0.000323 test-mlogloss:1.208842+0.016858
## [390] train-mlogloss:0.016196+0.000318 test-mlogloss:1.209892+0.016132
## [391] train-mlogloss:0.016138+0.000328 test-mlogloss:1.211918+0.016657
## [392] train-mlogloss:0.016080+0.000315 test-mlogloss:1.211573+0.016177
## [393] train-mlogloss:0.016033+0.000318 test-mlogloss:1.211202+0.016590
## [394] train-mlogloss:0.015978+0.000310 test-mlogloss:1.212743+0.015127
## [395] train-mlogloss:0.015928+0.000316 test-mlogloss:1.211472+0.014855
## [396] train-mlogloss:0.015885+0.000306 test-mlogloss:1.214304+0.014729
## [397] train-mlogloss:0.015812+0.000330 test-mlogloss:1.213582+0.015652
## [398] train-mlogloss:0.015778+0.000334 test-mlogloss:1.215343+0.016787
## [399] train-mlogloss:0.015727+0.000339 test-mlogloss:1.216201+0.016037
## [400] train-mlogloss:0.015663+0.000340 test-mlogloss:1.216478+0.016770
## [401] train-mlogloss:0.015597+0.000314 test-mlogloss:1.217583+0.016070
## [402] train-mlogloss:0.015563+0.000331 test-mlogloss:1.218599+0.016079
## [403] train-mlogloss:0.015504+0.000323 test-mlogloss:1.218157+0.016576
## [404] train-mlogloss:0.015467+0.000325 test-mlogloss:1.218615+0.015511
## [405] train-mlogloss:0.015434+0.000332 test-mlogloss:1.219715+0.016385
## [406] train-mlogloss:0.015381+0.000325 test-mlogloss:1.221944+0.016637
## [407] train-mlogloss:0.015328+0.000320 test-mlogloss:1.221299+0.015756
## [408] train-mlogloss:0.015280+0.000330 test-mlogloss:1.223669+0.016152
## [409] train-mlogloss:0.015236+0.000337 test-mlogloss:1.223881+0.015926
## [410] train-mlogloss:0.015189+0.000337 test-mlogloss:1.223617+0.015832
## [411] train-mlogloss:0.015144+0.000339 test-mlogloss:1.223196+0.015908
## [412] train-mlogloss:0.015091+0.000330 test-mlogloss:1.223568+0.016316
## [413] train-mlogloss:0.015021+0.000338 test-mlogloss:1.223537+0.016094
## [414] train-mlogloss:0.014975+0.000326 test-mlogloss:1.223312+0.016079
## [415] train-mlogloss:0.014919+0.000322 test-mlogloss:1.223948+0.016932
## [416] train-mlogloss:0.014886+0.000321 test-mlogloss:1.225527+0.016385
## [417] train-mlogloss:0.014845+0.000318 test-mlogloss:1.224872+0.016799
## [418] train-mlogloss:0.014808+0.000322 test-mlogloss:1.225930+0.016873
## [419] train-mlogloss:0.014761+0.000322 test-mlogloss:1.226032+0.016322
## [420] train-mlogloss:0.014708+0.000330 test-mlogloss:1.226531+0.016897
## [421] train-mlogloss:0.014667+0.000345 test-mlogloss:1.227017+0.017092
## [422] train-mlogloss:0.014617+0.000327 test-mlogloss:1.227782+0.017303
## [423] train-mlogloss:0.014579+0.000335 test-mlogloss:1.228663+0.018332
## [424] train-mlogloss:0.014552+0.000335 test-mlogloss:1.229475+0.017868
## [425] train-mlogloss:0.014503+0.000332 test-mlogloss:1.230659+0.018605
## [426] train-mlogloss:0.014461+0.000326 test-mlogloss:1.230800+0.018917
## [427] train-mlogloss:0.014421+0.000315 test-mlogloss:1.230922+0.018033
## [428] train-mlogloss:0.014380+0.000325 test-mlogloss:1.231648+0.018493
## [429] train-mlogloss:0.014342+0.000326 test-mlogloss:1.232606+0.018601
## [430] train-mlogloss:0.014291+0.000331 test-mlogloss:1.231908+0.018394
## [431] train-mlogloss:0.014250+0.000330 test-mlogloss:1.233224+0.017976
## [432] train-mlogloss:0.014215+0.000329 test-mlogloss:1.233809+0.018643
## [433] train-mlogloss:0.014180+0.000320 test-mlogloss:1.235761+0.018686
## [434] train-mlogloss:0.014133+0.000315 test-mlogloss:1.236149+0.019003
## [435] train-mlogloss:0.014095+0.000323 test-mlogloss:1.238498+0.017730
## [436] train-mlogloss:0.014055+0.000323 test-mlogloss:1.239062+0.017456
## [437] train-mlogloss:0.014026+0.000330 test-mlogloss:1.238675+0.017746
## [438] train-mlogloss:0.013985+0.000309 test-mlogloss:1.239164+0.018071
## [439] train-mlogloss:0.013945+0.000303 test-mlogloss:1.239635+0.019109
## [440] train-mlogloss:0.013902+0.000310 test-mlogloss:1.240531+0.020521
## [441] train-mlogloss:0.013863+0.000311 test-mlogloss:1.239972+0.020542
## [442] train-mlogloss:0.013818+0.000308 test-mlogloss:1.240971+0.020366
## [443] train-mlogloss:0.013790+0.000312 test-mlogloss:1.240960+0.020829
## [444] train-mlogloss:0.013751+0.000307 test-mlogloss:1.241970+0.019899
## [445] train-mlogloss:0.013720+0.000301 test-mlogloss:1.241918+0.019655
## [446] train-mlogloss:0.013680+0.000304 test-mlogloss:1.242111+0.020416
## [447] train-mlogloss:0.013639+0.000295 test-mlogloss:1.242075+0.020644
## [448] train-mlogloss:0.013596+0.000297 test-mlogloss:1.242926+0.021480
## [449] train-mlogloss:0.013564+0.000295 test-mlogloss:1.243669+0.020828
## [450] train-mlogloss:0.013519+0.000295 test-mlogloss:1.244503+0.021033
## [451] train-mlogloss:0.013474+0.000298 test-mlogloss:1.245866+0.020967
## [452] train-mlogloss:0.013429+0.000289 test-mlogloss:1.245482+0.022045
## [453] train-mlogloss:0.013399+0.000283 test-mlogloss:1.245405+0.021633
## [454] train-mlogloss:0.013360+0.000272 test-mlogloss:1.246260+0.021190
## [455] train-mlogloss:0.013325+0.000263 test-mlogloss:1.245576+0.021597
## [456] train-mlogloss:0.013284+0.000270 test-mlogloss:1.245145+0.021555
## [457] train-mlogloss:0.013244+0.000278 test-mlogloss:1.245852+0.022395
## [458] train-mlogloss:0.013202+0.000273 test-mlogloss:1.247839+0.022724
## [459] train-mlogloss:0.013159+0.000272 test-mlogloss:1.249135+0.021957
## [460] train-mlogloss:0.013132+0.000275 test-mlogloss:1.249509+0.022275
## [461] train-mlogloss:0.013095+0.000276 test-mlogloss:1.248833+0.022122
## [462] train-mlogloss:0.013062+0.000272 test-mlogloss:1.248960+0.021584
## [463] train-mlogloss:0.013023+0.000269 test-mlogloss:1.249690+0.022193
## [464] train-mlogloss:0.012981+0.000272 test-mlogloss:1.249729+0.021452
## [465] train-mlogloss:0.012951+0.000273 test-mlogloss:1.250186+0.021108
## [466] train-mlogloss:0.012923+0.000271 test-mlogloss:1.250685+0.022228
## [467] train-mlogloss:0.012890+0.000263 test-mlogloss:1.251289+0.021812
## [468] train-mlogloss:0.012862+0.000262 test-mlogloss:1.251832+0.021105
## [469] train-mlogloss:0.012822+0.000270 test-mlogloss:1.250968+0.020821
## [470] train-mlogloss:0.012797+0.000268 test-mlogloss:1.252529+0.020562
## [471] train-mlogloss:0.012760+0.000262 test-mlogloss:1.252591+0.020766
## [472] train-mlogloss:0.012729+0.000271 test-mlogloss:1.252990+0.021055
## [473] train-mlogloss:0.012701+0.000270 test-mlogloss:1.253416+0.022392
## [474] train-mlogloss:0.012670+0.000273 test-mlogloss:1.253625+0.021237
## [475] train-mlogloss:0.012654+0.000276 test-mlogloss:1.253682+0.021766
## [476] train-mlogloss:0.012614+0.000270 test-mlogloss:1.253534+0.022318
## [477] train-mlogloss:0.012580+0.000269 test-mlogloss:1.254214+0.021401
## [478] train-mlogloss:0.012549+0.000270 test-mlogloss:1.254577+0.020682
## [479] train-mlogloss:0.012522+0.000268 test-mlogloss:1.254714+0.021343
## [480] train-mlogloss:0.012489+0.000257 test-mlogloss:1.254562+0.021829
## [481] train-mlogloss:0.012454+0.000245 test-mlogloss:1.254946+0.021599
## [482] train-mlogloss:0.012417+0.000245 test-mlogloss:1.255396+0.020672
## [483] train-mlogloss:0.012388+0.000253 test-mlogloss:1.255855+0.021623
## [484] train-mlogloss:0.012362+0.000253 test-mlogloss:1.255310+0.023261
## [485] train-mlogloss:0.012334+0.000251 test-mlogloss:1.256723+0.023465
## [486] train-mlogloss:0.012306+0.000254 test-mlogloss:1.257924+0.023877
## [487] train-mlogloss:0.012270+0.000248 test-mlogloss:1.258199+0.023915
## [488] train-mlogloss:0.012230+0.000247 test-mlogloss:1.258181+0.024523
## [489] train-mlogloss:0.012207+0.000250 test-mlogloss:1.259720+0.024141
## [490] train-mlogloss:0.012184+0.000247 test-mlogloss:1.259968+0.024757
## [491] train-mlogloss:0.012151+0.000249 test-mlogloss:1.260937+0.025686
## [492] train-mlogloss:0.012118+0.000253 test-mlogloss:1.261857+0.025439
## [493] train-mlogloss:0.012093+0.000250 test-mlogloss:1.261759+0.024303
## [494] train-mlogloss:0.012066+0.000236 test-mlogloss:1.262906+0.024102
## [495] train-mlogloss:0.012038+0.000240 test-mlogloss:1.262573+0.024210
## [496] train-mlogloss:0.012014+0.000237 test-mlogloss:1.263243+0.024545
## [497] train-mlogloss:0.011984+0.000228 test-mlogloss:1.263243+0.025561
## [498] train-mlogloss:0.011955+0.000236 test-mlogloss:1.262226+0.024783
## [499] train-mlogloss:0.011931+0.000235 test-mlogloss:1.262927+0.024350
## [500] train-mlogloss:0.011908+0.000239 test-mlogloss:1.264132+0.025118
## [1] train-mlogloss:0.465770+0.002912 test-mlogloss:0.583544+0.012890
## [2] train-mlogloss:0.392413+0.002912 test-mlogloss:0.609594+0.014359
## [3] train-mlogloss:0.342509+0.004149 test-mlogloss:0.641952+0.016618
## [4] train-mlogloss:0.301673+0.002540 test-mlogloss:0.669496+0.022906
## [5] train-mlogloss:0.269303+0.001792 test-mlogloss:0.690041+0.024233
## [6] train-mlogloss:0.242220+0.002134 test-mlogloss:0.712602+0.026948
## [7] train-mlogloss:0.218944+0.002265 test-mlogloss:0.733810+0.030275
## [8] train-mlogloss:0.198668+0.001946 test-mlogloss:0.748146+0.032095
## [9] train-mlogloss:0.181615+0.001371 test-mlogloss:0.761962+0.032594
## [10] train-mlogloss:0.167007+0.000768 test-mlogloss:0.774928+0.035384
## [11] train-mlogloss:0.152825+0.001153 test-mlogloss:0.783894+0.033585
## [12] train-mlogloss:0.142081+0.001078 test-mlogloss:0.792672+0.036663
## [13] train-mlogloss:0.130904+0.001253 test-mlogloss:0.803759+0.039279
## [14] train-mlogloss:0.121977+0.001214 test-mlogloss:0.815966+0.040624
## [15] train-mlogloss:0.113665+0.001784 test-mlogloss:0.824709+0.040980
## [16] train-mlogloss:0.106426+0.001923 test-mlogloss:0.833455+0.040630
## [17] train-mlogloss:0.099977+0.001775 test-mlogloss:0.844155+0.038260
## [18] train-mlogloss:0.094552+0.001525 test-mlogloss:0.854687+0.037867
## [19] train-mlogloss:0.089378+0.001864 test-mlogloss:0.858655+0.040899
## [20] train-mlogloss:0.084830+0.001653 test-mlogloss:0.867639+0.040564
## [21] train-mlogloss:0.080870+0.001804 test-mlogloss:0.871586+0.043013
## [22] train-mlogloss:0.077181+0.001784 test-mlogloss:0.878274+0.044014
## [23] train-mlogloss:0.073318+0.001686 test-mlogloss:0.884470+0.043085
## [24] train-mlogloss:0.069996+0.001482 test-mlogloss:0.890155+0.046145
## [25] train-mlogloss:0.067373+0.001206 test-mlogloss:0.894259+0.044179
## [26] train-mlogloss:0.064831+0.001206 test-mlogloss:0.902296+0.045161
## [27] train-mlogloss:0.062419+0.001289 test-mlogloss:0.907042+0.044513
## [28] train-mlogloss:0.060303+0.001225 test-mlogloss:0.911000+0.043909
## [29] train-mlogloss:0.058130+0.001035 test-mlogloss:0.915796+0.042848
## [30] train-mlogloss:0.056172+0.000868 test-mlogloss:0.919205+0.041519
## [31] train-mlogloss:0.054303+0.000804 test-mlogloss:0.921420+0.043977
## [32] train-mlogloss:0.052698+0.000685 test-mlogloss:0.925263+0.046213
## [33] train-mlogloss:0.050992+0.000676 test-mlogloss:0.930596+0.046667
## [34] train-mlogloss:0.049538+0.000603 test-mlogloss:0.934944+0.045073
## [35] train-mlogloss:0.048139+0.000571 test-mlogloss:0.939600+0.044072
## [36] train-mlogloss:0.046748+0.000585 test-mlogloss:0.942532+0.045555
## [37] train-mlogloss:0.045544+0.000681 test-mlogloss:0.945732+0.045639
## [38] train-mlogloss:0.044329+0.000703 test-mlogloss:0.949381+0.044651
## [39] train-mlogloss:0.043158+0.000635 test-mlogloss:0.951481+0.043013
## [40] train-mlogloss:0.042145+0.000558 test-mlogloss:0.955290+0.042914
## [41] train-mlogloss:0.041174+0.000491 test-mlogloss:0.957969+0.043515
## [42] train-mlogloss:0.040282+0.000514 test-mlogloss:0.962611+0.042224
## [43] train-mlogloss:0.039452+0.000472 test-mlogloss:0.963457+0.042519
## [44] train-mlogloss:0.038633+0.000560 test-mlogloss:0.965968+0.042307
## [45] train-mlogloss:0.037834+0.000566 test-mlogloss:0.970279+0.043231
## [46] train-mlogloss:0.037018+0.000606 test-mlogloss:0.972450+0.046852
## [47] train-mlogloss:0.036270+0.000578 test-mlogloss:0.976615+0.046241
## [48] train-mlogloss:0.035553+0.000421 test-mlogloss:0.978764+0.047772
## [49] train-mlogloss:0.034889+0.000457 test-mlogloss:0.983649+0.047791
## [50] train-mlogloss:0.034219+0.000430 test-mlogloss:0.987974+0.048928
## [51] train-mlogloss:0.033618+0.000453 test-mlogloss:0.991601+0.047396
## [52] train-mlogloss:0.033085+0.000431 test-mlogloss:0.995901+0.048178
## [53] train-mlogloss:0.032570+0.000442 test-mlogloss:0.999101+0.048852
## [54] train-mlogloss:0.032037+0.000457 test-mlogloss:1.000694+0.048786
## [55] train-mlogloss:0.031481+0.000482 test-mlogloss:1.000668+0.048929
## [56] train-mlogloss:0.030986+0.000468 test-mlogloss:1.003938+0.049221
## [57] train-mlogloss:0.030541+0.000480 test-mlogloss:1.005591+0.049036
## [58] train-mlogloss:0.030099+0.000465 test-mlogloss:1.007668+0.050520
## [59] train-mlogloss:0.029672+0.000491 test-mlogloss:1.009355+0.051723
## [60] train-mlogloss:0.029246+0.000493 test-mlogloss:1.013614+0.052176
## [61] train-mlogloss:0.028874+0.000401 test-mlogloss:1.014869+0.053014
## [62] train-mlogloss:0.028427+0.000374 test-mlogloss:1.016304+0.052793
## [63] train-mlogloss:0.028036+0.000380 test-mlogloss:1.019728+0.053550
## [64] train-mlogloss:0.027626+0.000381 test-mlogloss:1.021876+0.055094
## [65] train-mlogloss:0.027276+0.000338 test-mlogloss:1.023790+0.056424
## [66] train-mlogloss:0.026923+0.000347 test-mlogloss:1.025996+0.055087
## [67] train-mlogloss:0.026586+0.000352 test-mlogloss:1.028416+0.055394
## [68] train-mlogloss:0.026282+0.000355 test-mlogloss:1.030735+0.054680
## [69] train-mlogloss:0.025958+0.000326 test-mlogloss:1.034146+0.054813
## [70] train-mlogloss:0.025664+0.000284 test-mlogloss:1.033869+0.054132
## [71] train-mlogloss:0.025381+0.000278 test-mlogloss:1.035111+0.054063
## [72] train-mlogloss:0.025067+0.000292 test-mlogloss:1.035469+0.053611
## [73] train-mlogloss:0.024782+0.000286 test-mlogloss:1.035120+0.053533
## [74] train-mlogloss:0.024482+0.000257 test-mlogloss:1.035499+0.053448
## [75] train-mlogloss:0.024187+0.000238 test-mlogloss:1.039935+0.053028
## [76] train-mlogloss:0.023904+0.000237 test-mlogloss:1.041682+0.053401
## [77] train-mlogloss:0.023627+0.000222 test-mlogloss:1.043419+0.054156
## [78] train-mlogloss:0.023353+0.000223 test-mlogloss:1.045798+0.056220
## [79] train-mlogloss:0.023112+0.000182 test-mlogloss:1.046208+0.056189
## [80] train-mlogloss:0.022863+0.000185 test-mlogloss:1.048430+0.055150
## [81] train-mlogloss:0.022654+0.000195 test-mlogloss:1.049236+0.055586
## [82] train-mlogloss:0.022416+0.000173 test-mlogloss:1.051234+0.054952
## [83] train-mlogloss:0.022215+0.000153 test-mlogloss:1.052047+0.053849
## [84] train-mlogloss:0.022014+0.000168 test-mlogloss:1.053927+0.056574
## [85] train-mlogloss:0.021800+0.000165 test-mlogloss:1.055683+0.056700
## [86] train-mlogloss:0.021604+0.000193 test-mlogloss:1.057222+0.054401
## [87] train-mlogloss:0.021421+0.000179 test-mlogloss:1.057083+0.055829
## [88] train-mlogloss:0.021225+0.000161 test-mlogloss:1.057971+0.056548
## [89] train-mlogloss:0.021021+0.000136 test-mlogloss:1.058405+0.056597
## [90] train-mlogloss:0.020814+0.000155 test-mlogloss:1.059378+0.057769
## [91] train-mlogloss:0.020613+0.000160 test-mlogloss:1.059804+0.058128
## [92] train-mlogloss:0.020444+0.000133 test-mlogloss:1.061003+0.057845
## [93] train-mlogloss:0.020270+0.000147 test-mlogloss:1.063602+0.058292
## [94] train-mlogloss:0.020122+0.000140 test-mlogloss:1.064495+0.058684
## [95] train-mlogloss:0.019950+0.000125 test-mlogloss:1.063967+0.058716
## [96] train-mlogloss:0.019793+0.000122 test-mlogloss:1.064505+0.058542
## [97] train-mlogloss:0.019627+0.000131 test-mlogloss:1.065137+0.058537
## [98] train-mlogloss:0.019481+0.000115 test-mlogloss:1.067770+0.058792
## [99] train-mlogloss:0.019333+0.000117 test-mlogloss:1.068164+0.059345
## [100] train-mlogloss:0.019187+0.000144 test-mlogloss:1.069289+0.059084
## [101] train-mlogloss:0.019039+0.000135 test-mlogloss:1.071921+0.060636
## [102] train-mlogloss:0.018908+0.000136 test-mlogloss:1.072053+0.059626
## [103] train-mlogloss:0.018767+0.000147 test-mlogloss:1.073561+0.058463
## [104] train-mlogloss:0.018648+0.000142 test-mlogloss:1.074026+0.058072
## [105] train-mlogloss:0.018508+0.000121 test-mlogloss:1.075465+0.059067
## [106] train-mlogloss:0.018385+0.000126 test-mlogloss:1.077152+0.059053
## [107] train-mlogloss:0.018238+0.000141 test-mlogloss:1.078484+0.058992
## [108] train-mlogloss:0.018119+0.000141 test-mlogloss:1.078675+0.059661
## [109] train-mlogloss:0.017973+0.000149 test-mlogloss:1.080297+0.059339
## [110] train-mlogloss:0.017836+0.000156 test-mlogloss:1.081442+0.059546
## [111] train-mlogloss:0.017707+0.000136 test-mlogloss:1.085051+0.061072
## [112] train-mlogloss:0.017593+0.000123 test-mlogloss:1.086010+0.061090
## [113] train-mlogloss:0.017512+0.000135 test-mlogloss:1.087489+0.060953
## [114] train-mlogloss:0.017404+0.000127 test-mlogloss:1.087217+0.060140
## [115] train-mlogloss:0.017293+0.000114 test-mlogloss:1.085292+0.060348
## [116] train-mlogloss:0.017179+0.000122 test-mlogloss:1.086684+0.059674
## [117] train-mlogloss:0.017059+0.000116 test-mlogloss:1.088062+0.060725
## [118] train-mlogloss:0.016967+0.000119 test-mlogloss:1.088758+0.061137
## [119] train-mlogloss:0.016850+0.000114 test-mlogloss:1.089797+0.060050
## [120] train-mlogloss:0.016748+0.000108 test-mlogloss:1.091786+0.059849
## [121] train-mlogloss:0.016642+0.000109 test-mlogloss:1.091513+0.059877
## [122] train-mlogloss:0.016542+0.000091 test-mlogloss:1.093848+0.059571
## [123] train-mlogloss:0.016427+0.000084 test-mlogloss:1.094392+0.059594
## [124] train-mlogloss:0.016330+0.000069 test-mlogloss:1.095143+0.060833
## [125] train-mlogloss:0.016249+0.000066 test-mlogloss:1.097165+0.060969
## [126] train-mlogloss:0.016157+0.000077 test-mlogloss:1.100114+0.060407
## [127] train-mlogloss:0.016043+0.000090 test-mlogloss:1.099951+0.060591
## [128] train-mlogloss:0.015943+0.000112 test-mlogloss:1.101325+0.060000
## [129] train-mlogloss:0.015854+0.000113 test-mlogloss:1.102393+0.059957
## [130] train-mlogloss:0.015778+0.000121 test-mlogloss:1.103543+0.061051
## [131] train-mlogloss:0.015690+0.000141 test-mlogloss:1.103650+0.060699
## [132] train-mlogloss:0.015604+0.000133 test-mlogloss:1.104129+0.059857
## [133] train-mlogloss:0.015534+0.000147 test-mlogloss:1.104343+0.061295
## [134] train-mlogloss:0.015457+0.000157 test-mlogloss:1.106614+0.060974
## [135] train-mlogloss:0.015364+0.000162 test-mlogloss:1.107739+0.060856
## [136] train-mlogloss:0.015276+0.000169 test-mlogloss:1.108209+0.060574
## [137] train-mlogloss:0.015200+0.000184 test-mlogloss:1.107969+0.060009
## [138] train-mlogloss:0.015137+0.000190 test-mlogloss:1.108943+0.059810
## [139] train-mlogloss:0.015067+0.000183 test-mlogloss:1.109249+0.058657
## [140] train-mlogloss:0.014987+0.000177 test-mlogloss:1.111270+0.059638
## [141] train-mlogloss:0.014911+0.000168 test-mlogloss:1.111232+0.058914
## [142] train-mlogloss:0.014847+0.000185 test-mlogloss:1.111921+0.059198
## [143] train-mlogloss:0.014756+0.000191 test-mlogloss:1.112762+0.058869
## [144] train-mlogloss:0.014694+0.000188 test-mlogloss:1.114673+0.059003
## [145] train-mlogloss:0.014638+0.000185 test-mlogloss:1.114927+0.058798
## [146] train-mlogloss:0.014565+0.000177 test-mlogloss:1.115351+0.059583
## [147] train-mlogloss:0.014481+0.000180 test-mlogloss:1.114811+0.059651
## [148] train-mlogloss:0.014404+0.000171 test-mlogloss:1.115220+0.060609
## [149] train-mlogloss:0.014342+0.000168 test-mlogloss:1.115492+0.059910
## [150] train-mlogloss:0.014277+0.000165 test-mlogloss:1.116353+0.059464
## [151] train-mlogloss:0.014208+0.000162 test-mlogloss:1.115747+0.059762
## [152] train-mlogloss:0.014149+0.000162 test-mlogloss:1.117412+0.060140
## [153] train-mlogloss:0.014096+0.000159 test-mlogloss:1.117560+0.058983
## [154] train-mlogloss:0.014037+0.000157 test-mlogloss:1.119002+0.059849
## [155] train-mlogloss:0.013966+0.000148 test-mlogloss:1.119386+0.058969
## [156] train-mlogloss:0.013900+0.000156 test-mlogloss:1.120697+0.060613
## [157] train-mlogloss:0.013843+0.000149 test-mlogloss:1.120802+0.060645
## [158] train-mlogloss:0.013784+0.000151 test-mlogloss:1.121320+0.060797
## [159] train-mlogloss:0.013736+0.000143 test-mlogloss:1.121799+0.060902
## [160] train-mlogloss:0.013672+0.000147 test-mlogloss:1.122277+0.060395
## [161] train-mlogloss:0.013628+0.000141 test-mlogloss:1.122210+0.060117
## [162] train-mlogloss:0.013569+0.000149 test-mlogloss:1.123706+0.060420
## [163] train-mlogloss:0.013504+0.000141 test-mlogloss:1.123925+0.061258
## [164] train-mlogloss:0.013446+0.000132 test-mlogloss:1.124183+0.060127
## [165] train-mlogloss:0.013380+0.000131 test-mlogloss:1.124390+0.061066
## [166] train-mlogloss:0.013324+0.000127 test-mlogloss:1.126478+0.060562
## [167] train-mlogloss:0.013263+0.000143 test-mlogloss:1.127733+0.061373
## [168] train-mlogloss:0.013211+0.000146 test-mlogloss:1.128092+0.060705
## [169] train-mlogloss:0.013147+0.000155 test-mlogloss:1.128272+0.060609
## [170] train-mlogloss:0.013088+0.000160 test-mlogloss:1.130277+0.060537
## [171] train-mlogloss:0.013045+0.000166 test-mlogloss:1.130364+0.060133
## [172] train-mlogloss:0.012994+0.000149 test-mlogloss:1.132746+0.059992
## [173] train-mlogloss:0.012944+0.000145 test-mlogloss:1.131144+0.060017
## [174] train-mlogloss:0.012897+0.000141 test-mlogloss:1.132256+0.059634
## [175] train-mlogloss:0.012843+0.000143 test-mlogloss:1.132849+0.059746
## [176] train-mlogloss:0.012792+0.000144 test-mlogloss:1.134265+0.059190
## [177] train-mlogloss:0.012748+0.000144 test-mlogloss:1.135301+0.059611
## [178] train-mlogloss:0.012693+0.000141 test-mlogloss:1.135015+0.058130
## [179] train-mlogloss:0.012650+0.000128 test-mlogloss:1.136687+0.058601
## [180] train-mlogloss:0.012593+0.000128 test-mlogloss:1.137559+0.058797
## [181] train-mlogloss:0.012542+0.000128 test-mlogloss:1.139045+0.060041
## [182] train-mlogloss:0.012506+0.000131 test-mlogloss:1.139299+0.060183
## [183] train-mlogloss:0.012460+0.000124 test-mlogloss:1.140236+0.059609
## [184] train-mlogloss:0.012405+0.000127 test-mlogloss:1.141013+0.059275
## [185] train-mlogloss:0.012360+0.000118 test-mlogloss:1.141381+0.059786
## [186] train-mlogloss:0.012313+0.000114 test-mlogloss:1.141738+0.058250
## [187] train-mlogloss:0.012268+0.000106 test-mlogloss:1.140269+0.059155
## [188] train-mlogloss:0.012218+0.000107 test-mlogloss:1.140597+0.059935
## [189] train-mlogloss:0.012193+0.000119 test-mlogloss:1.142001+0.060062
## [190] train-mlogloss:0.012145+0.000112 test-mlogloss:1.141944+0.059951
## [191] train-mlogloss:0.012111+0.000109 test-mlogloss:1.142810+0.061176
## [192] train-mlogloss:0.012052+0.000118 test-mlogloss:1.143253+0.060301
## [193] train-mlogloss:0.012011+0.000112 test-mlogloss:1.143152+0.060290
## [194] train-mlogloss:0.011970+0.000117 test-mlogloss:1.143828+0.059347
## [195] train-mlogloss:0.011931+0.000110 test-mlogloss:1.144520+0.060617
## [196] train-mlogloss:0.011890+0.000113 test-mlogloss:1.145655+0.060970
## [197] train-mlogloss:0.011857+0.000116 test-mlogloss:1.146753+0.062217
## [198] train-mlogloss:0.011823+0.000114 test-mlogloss:1.146163+0.062221
## [199] train-mlogloss:0.011784+0.000124 test-mlogloss:1.148690+0.062122
## [200] train-mlogloss:0.011751+0.000116 test-mlogloss:1.148260+0.062252
## [201] train-mlogloss:0.011706+0.000115 test-mlogloss:1.148691+0.061202
## [202] train-mlogloss:0.011667+0.000116 test-mlogloss:1.150003+0.060020
## [203] train-mlogloss:0.011633+0.000121 test-mlogloss:1.149578+0.059998
## [204] train-mlogloss:0.011591+0.000119 test-mlogloss:1.149461+0.060591
## [205] train-mlogloss:0.011551+0.000119 test-mlogloss:1.150000+0.061738
## [206] train-mlogloss:0.011510+0.000121 test-mlogloss:1.150852+0.061472
## [207] train-mlogloss:0.011475+0.000113 test-mlogloss:1.152246+0.061604
## [208] train-mlogloss:0.011445+0.000116 test-mlogloss:1.153133+0.061351
## [209] train-mlogloss:0.011402+0.000114 test-mlogloss:1.153848+0.060844
## [210] train-mlogloss:0.011370+0.000113 test-mlogloss:1.153189+0.061173
## [211] train-mlogloss:0.011331+0.000116 test-mlogloss:1.154184+0.060765
## [212] train-mlogloss:0.011308+0.000113 test-mlogloss:1.155622+0.061266
## [213] train-mlogloss:0.011275+0.000120 test-mlogloss:1.155161+0.061011
## [214] train-mlogloss:0.011237+0.000120 test-mlogloss:1.154867+0.060631
## [215] train-mlogloss:0.011198+0.000113 test-mlogloss:1.156516+0.062197
## [216] train-mlogloss:0.011164+0.000108 test-mlogloss:1.156302+0.062159
## [217] train-mlogloss:0.011135+0.000114 test-mlogloss:1.157526+0.062674
## [218] train-mlogloss:0.011103+0.000118 test-mlogloss:1.157061+0.062669
## [219] train-mlogloss:0.011073+0.000127 test-mlogloss:1.156260+0.063412
## [220] train-mlogloss:0.011041+0.000125 test-mlogloss:1.156897+0.062331
## [221] train-mlogloss:0.011014+0.000126 test-mlogloss:1.157427+0.063532
## [222] train-mlogloss:0.010975+0.000129 test-mlogloss:1.157877+0.062964
## [223] train-mlogloss:0.010938+0.000125 test-mlogloss:1.158306+0.062921
## [224] train-mlogloss:0.010908+0.000122 test-mlogloss:1.158362+0.062448
## [225] train-mlogloss:0.010872+0.000123 test-mlogloss:1.159308+0.061901
## [226] train-mlogloss:0.010838+0.000125 test-mlogloss:1.160202+0.062458
## [227] train-mlogloss:0.010803+0.000123 test-mlogloss:1.160731+0.061912
## [228] train-mlogloss:0.010764+0.000119 test-mlogloss:1.160528+0.062955
## [229] train-mlogloss:0.010744+0.000119 test-mlogloss:1.159713+0.062391
## [230] train-mlogloss:0.010714+0.000115 test-mlogloss:1.160070+0.062958
## [231] train-mlogloss:0.010687+0.000115 test-mlogloss:1.160325+0.061711
## [232] train-mlogloss:0.010660+0.000119 test-mlogloss:1.160125+0.061547
## [233] train-mlogloss:0.010636+0.000119 test-mlogloss:1.161762+0.061667
## [234] train-mlogloss:0.010605+0.000115 test-mlogloss:1.161379+0.062956
## [235] train-mlogloss:0.010578+0.000117 test-mlogloss:1.161624+0.062267
## [236] train-mlogloss:0.010555+0.000112 test-mlogloss:1.160698+0.061835
## [237] train-mlogloss:0.010525+0.000107 test-mlogloss:1.161883+0.062720
## [238] train-mlogloss:0.010500+0.000112 test-mlogloss:1.162612+0.062669
## [239] train-mlogloss:0.010468+0.000111 test-mlogloss:1.164021+0.062637
## [240] train-mlogloss:0.010448+0.000106 test-mlogloss:1.165744+0.062801
## [241] train-mlogloss:0.010425+0.000108 test-mlogloss:1.165048+0.061137
## [242] train-mlogloss:0.010406+0.000103 test-mlogloss:1.165060+0.061203
## [243] train-mlogloss:0.010373+0.000110 test-mlogloss:1.165906+0.061412
## [244] train-mlogloss:0.010352+0.000102 test-mlogloss:1.167147+0.061647
## [245] train-mlogloss:0.010323+0.000101 test-mlogloss:1.167453+0.061297
## [246] train-mlogloss:0.010301+0.000097 test-mlogloss:1.168291+0.062094
## [247] train-mlogloss:0.010267+0.000094 test-mlogloss:1.168840+0.061434
## [248] train-mlogloss:0.010242+0.000092 test-mlogloss:1.169466+0.061952
## [249] train-mlogloss:0.010215+0.000100 test-mlogloss:1.169865+0.061766
## [250] train-mlogloss:0.010188+0.000090 test-mlogloss:1.170048+0.062453
## [251] train-mlogloss:0.010164+0.000097 test-mlogloss:1.170354+0.062608
## [252] train-mlogloss:0.010137+0.000094 test-mlogloss:1.171202+0.062636
## [253] train-mlogloss:0.010118+0.000092 test-mlogloss:1.172092+0.062585
## [254] train-mlogloss:0.010094+0.000093 test-mlogloss:1.172053+0.061814
## [255] train-mlogloss:0.010072+0.000091 test-mlogloss:1.172161+0.060884
## [256] train-mlogloss:0.010046+0.000086 test-mlogloss:1.172956+0.061141
## [257] train-mlogloss:0.010024+0.000089 test-mlogloss:1.172552+0.062065
## [258] train-mlogloss:0.010001+0.000089 test-mlogloss:1.173708+0.062463
## [259] train-mlogloss:0.009972+0.000081 test-mlogloss:1.174141+0.062056
## [260] train-mlogloss:0.009946+0.000080 test-mlogloss:1.174647+0.062541
## [261] train-mlogloss:0.009926+0.000078 test-mlogloss:1.173376+0.061850
## [262] train-mlogloss:0.009897+0.000082 test-mlogloss:1.173341+0.062795
## [263] train-mlogloss:0.009875+0.000084 test-mlogloss:1.173621+0.062861
## [264] train-mlogloss:0.009850+0.000085 test-mlogloss:1.174706+0.062680
## [265] train-mlogloss:0.009831+0.000089 test-mlogloss:1.175370+0.063828
## [266] train-mlogloss:0.009803+0.000090 test-mlogloss:1.174779+0.063666
## [267] train-mlogloss:0.009781+0.000090 test-mlogloss:1.174724+0.063917
## [268] train-mlogloss:0.009750+0.000084 test-mlogloss:1.175098+0.064007
## [269] train-mlogloss:0.009723+0.000085 test-mlogloss:1.176645+0.064076
## [270] train-mlogloss:0.009701+0.000086 test-mlogloss:1.176773+0.065335
## [271] train-mlogloss:0.009683+0.000082 test-mlogloss:1.176915+0.064899
## [272] train-mlogloss:0.009659+0.000082 test-mlogloss:1.176837+0.064242
## [273] train-mlogloss:0.009644+0.000077 test-mlogloss:1.178551+0.064485
## [274] train-mlogloss:0.009618+0.000080 test-mlogloss:1.177461+0.063480
## [275] train-mlogloss:0.009587+0.000089 test-mlogloss:1.177068+0.062835
## [276] train-mlogloss:0.009562+0.000089 test-mlogloss:1.177386+0.063050
## [277] train-mlogloss:0.009540+0.000084 test-mlogloss:1.178190+0.063297
## [278] train-mlogloss:0.009519+0.000084 test-mlogloss:1.178683+0.063282
## [279] train-mlogloss:0.009498+0.000082 test-mlogloss:1.178804+0.063071
## [280] train-mlogloss:0.009474+0.000087 test-mlogloss:1.178245+0.062315
## [281] train-mlogloss:0.009456+0.000079 test-mlogloss:1.178892+0.063916
## [282] train-mlogloss:0.009439+0.000086 test-mlogloss:1.179154+0.064500
## [283] train-mlogloss:0.009424+0.000088 test-mlogloss:1.178836+0.064923
## [284] train-mlogloss:0.009400+0.000087 test-mlogloss:1.180017+0.065337
## [285] train-mlogloss:0.009380+0.000085 test-mlogloss:1.180198+0.065664
## [286] train-mlogloss:0.009363+0.000084 test-mlogloss:1.181257+0.065529
## [287] train-mlogloss:0.009350+0.000081 test-mlogloss:1.180416+0.064872
## [288] train-mlogloss:0.009328+0.000081 test-mlogloss:1.180868+0.066203
## [289] train-mlogloss:0.009309+0.000079 test-mlogloss:1.181803+0.066037
## [290] train-mlogloss:0.009291+0.000081 test-mlogloss:1.181080+0.065206
## [291] train-mlogloss:0.009271+0.000082 test-mlogloss:1.182327+0.065391
## [292] train-mlogloss:0.009254+0.000076 test-mlogloss:1.181531+0.064848
## [293] train-mlogloss:0.009237+0.000079 test-mlogloss:1.183450+0.065892
## [294] train-mlogloss:0.009224+0.000082 test-mlogloss:1.183119+0.065562
## [295] train-mlogloss:0.009209+0.000078 test-mlogloss:1.185297+0.064579
## [296] train-mlogloss:0.009184+0.000078 test-mlogloss:1.184691+0.063943
## [297] train-mlogloss:0.009169+0.000074 test-mlogloss:1.185395+0.064448
## [298] train-mlogloss:0.009148+0.000079 test-mlogloss:1.185138+0.064179
## [299] train-mlogloss:0.009137+0.000077 test-mlogloss:1.186391+0.063557
## [300] train-mlogloss:0.009115+0.000073 test-mlogloss:1.186793+0.064102
## [301] train-mlogloss:0.009096+0.000076 test-mlogloss:1.187138+0.064635
## [302] train-mlogloss:0.009073+0.000081 test-mlogloss:1.185743+0.064368
## [303] train-mlogloss:0.009056+0.000081 test-mlogloss:1.186287+0.065153
## [304] train-mlogloss:0.009042+0.000082 test-mlogloss:1.187342+0.065269
## [305] train-mlogloss:0.009029+0.000087 test-mlogloss:1.188416+0.065869
## [306] train-mlogloss:0.009004+0.000087 test-mlogloss:1.188313+0.064843
## [307] train-mlogloss:0.008998+0.000083 test-mlogloss:1.188737+0.064402
## [308] train-mlogloss:0.008977+0.000089 test-mlogloss:1.189253+0.064193
## [309] train-mlogloss:0.008960+0.000082 test-mlogloss:1.190113+0.065065
## [310] train-mlogloss:0.008943+0.000080 test-mlogloss:1.190444+0.065013
## [311] train-mlogloss:0.008922+0.000079 test-mlogloss:1.189494+0.064971
## [312] train-mlogloss:0.008910+0.000078 test-mlogloss:1.188782+0.064894
## [313] train-mlogloss:0.008895+0.000078 test-mlogloss:1.189580+0.065383
## [314] train-mlogloss:0.008882+0.000077 test-mlogloss:1.188747+0.064192
## [315] train-mlogloss:0.008865+0.000073 test-mlogloss:1.188526+0.064391
## [316] train-mlogloss:0.008857+0.000075 test-mlogloss:1.189505+0.064381
## [317] train-mlogloss:0.008842+0.000072 test-mlogloss:1.189129+0.064863
## [318] train-mlogloss:0.008822+0.000071 test-mlogloss:1.189210+0.065737
## [319] train-mlogloss:0.008805+0.000076 test-mlogloss:1.190760+0.065025
## [320] train-mlogloss:0.008790+0.000075 test-mlogloss:1.191380+0.065636
## [321] train-mlogloss:0.008771+0.000074 test-mlogloss:1.190946+0.065139
## [322] train-mlogloss:0.008755+0.000068 test-mlogloss:1.192066+0.066214
## [323] train-mlogloss:0.008744+0.000065 test-mlogloss:1.192415+0.066086
## [324] train-mlogloss:0.008726+0.000070 test-mlogloss:1.192061+0.066122
## [325] train-mlogloss:0.008712+0.000067 test-mlogloss:1.191488+0.065483
## [326] train-mlogloss:0.008691+0.000067 test-mlogloss:1.192786+0.065382
## [327] train-mlogloss:0.008679+0.000068 test-mlogloss:1.192591+0.064832
## [328] train-mlogloss:0.008659+0.000070 test-mlogloss:1.192341+0.063873
## [329] train-mlogloss:0.008647+0.000066 test-mlogloss:1.192858+0.063825
## [330] train-mlogloss:0.008630+0.000069 test-mlogloss:1.192463+0.064363
## [331] train-mlogloss:0.008614+0.000071 test-mlogloss:1.192154+0.065006
## [332] train-mlogloss:0.008600+0.000070 test-mlogloss:1.192531+0.065792
## [333] train-mlogloss:0.008588+0.000070 test-mlogloss:1.194424+0.067251
## [334] train-mlogloss:0.008571+0.000073 test-mlogloss:1.193994+0.067463
## [335] train-mlogloss:0.008562+0.000073 test-mlogloss:1.195301+0.067218
## [336] train-mlogloss:0.008547+0.000073 test-mlogloss:1.196031+0.066591
## [337] train-mlogloss:0.008537+0.000074 test-mlogloss:1.195165+0.066438
## [338] train-mlogloss:0.008518+0.000069 test-mlogloss:1.196170+0.067198
## [339] train-mlogloss:0.008504+0.000071 test-mlogloss:1.195660+0.067314
## [340] train-mlogloss:0.008483+0.000071 test-mlogloss:1.195293+0.066768
## [341] train-mlogloss:0.008475+0.000072 test-mlogloss:1.196885+0.066640
## [342] train-mlogloss:0.008462+0.000073 test-mlogloss:1.197780+0.066900
## [343] train-mlogloss:0.008447+0.000074 test-mlogloss:1.197915+0.067081
## [344] train-mlogloss:0.008436+0.000072 test-mlogloss:1.198656+0.066857
## [345] train-mlogloss:0.008424+0.000076 test-mlogloss:1.197887+0.066465
## [346] train-mlogloss:0.008411+0.000080 test-mlogloss:1.198260+0.065905
## [347] train-mlogloss:0.008397+0.000080 test-mlogloss:1.198015+0.065633
## [348] train-mlogloss:0.008380+0.000075 test-mlogloss:1.198120+0.066289
## [349] train-mlogloss:0.008367+0.000078 test-mlogloss:1.200244+0.066661
## [350] train-mlogloss:0.008354+0.000082 test-mlogloss:1.199727+0.066486
## [351] train-mlogloss:0.008347+0.000081 test-mlogloss:1.200074+0.067363
## [352] train-mlogloss:0.008329+0.000079 test-mlogloss:1.200797+0.067712
## [353] train-mlogloss:0.008320+0.000079 test-mlogloss:1.201993+0.067717
## [354] train-mlogloss:0.008305+0.000082 test-mlogloss:1.201180+0.067498
## [355] train-mlogloss:0.008292+0.000081 test-mlogloss:1.200744+0.068067
## [356] train-mlogloss:0.008278+0.000084 test-mlogloss:1.202285+0.068140
## [357] train-mlogloss:0.008265+0.000088 test-mlogloss:1.203298+0.067902
## [358] train-mlogloss:0.008248+0.000086 test-mlogloss:1.203543+0.067144
## [359] train-mlogloss:0.008236+0.000089 test-mlogloss:1.201943+0.067563
## [360] train-mlogloss:0.008222+0.000089 test-mlogloss:1.202697+0.067670
## [361] train-mlogloss:0.008212+0.000091 test-mlogloss:1.203560+0.067160
## [362] train-mlogloss:0.008201+0.000092 test-mlogloss:1.204671+0.067515
## [363] train-mlogloss:0.008190+0.000094 test-mlogloss:1.205073+0.068119
## [364] train-mlogloss:0.008178+0.000096 test-mlogloss:1.204725+0.067330
## [365] train-mlogloss:0.008165+0.000092 test-mlogloss:1.204927+0.066893
## [366] train-mlogloss:0.008147+0.000089 test-mlogloss:1.204154+0.067332
## [367] train-mlogloss:0.008133+0.000091 test-mlogloss:1.203994+0.067511
## [368] train-mlogloss:0.008117+0.000090 test-mlogloss:1.204588+0.067179
## [369] train-mlogloss:0.008106+0.000090 test-mlogloss:1.205429+0.068070
## [370] train-mlogloss:0.008095+0.000093 test-mlogloss:1.206435+0.068387
## [371] train-mlogloss:0.008088+0.000096 test-mlogloss:1.205987+0.068142
## [372] train-mlogloss:0.008070+0.000091 test-mlogloss:1.206033+0.068047
## [373] train-mlogloss:0.008059+0.000092 test-mlogloss:1.206396+0.067918
## [374] train-mlogloss:0.008045+0.000098 test-mlogloss:1.206625+0.068277
## [375] train-mlogloss:0.008032+0.000095 test-mlogloss:1.207131+0.068041
## [376] train-mlogloss:0.008021+0.000094 test-mlogloss:1.208419+0.067644
## [377] train-mlogloss:0.008006+0.000096 test-mlogloss:1.208382+0.067201
## [378] train-mlogloss:0.007998+0.000090 test-mlogloss:1.208893+0.067972
## [379] train-mlogloss:0.007990+0.000087 test-mlogloss:1.207821+0.067976
## [380] train-mlogloss:0.007975+0.000089 test-mlogloss:1.207921+0.067314
## [381] train-mlogloss:0.007967+0.000089 test-mlogloss:1.208347+0.066586
## [382] train-mlogloss:0.007954+0.000087 test-mlogloss:1.208323+0.066557
## [383] train-mlogloss:0.007942+0.000090 test-mlogloss:1.208455+0.066571
## [384] train-mlogloss:0.007927+0.000088 test-mlogloss:1.208612+0.066657
## [385] train-mlogloss:0.007920+0.000090 test-mlogloss:1.209324+0.067214
## [386] train-mlogloss:0.007908+0.000089 test-mlogloss:1.210473+0.068330
## [387] train-mlogloss:0.007894+0.000090 test-mlogloss:1.210465+0.066904
## [388] train-mlogloss:0.007881+0.000093 test-mlogloss:1.211209+0.066588
## [389] train-mlogloss:0.007868+0.000086 test-mlogloss:1.211500+0.066408
## [390] train-mlogloss:0.007855+0.000086 test-mlogloss:1.212066+0.066101
## [391] train-mlogloss:0.007842+0.000089 test-mlogloss:1.211806+0.066590
## [392] train-mlogloss:0.007829+0.000090 test-mlogloss:1.211477+0.066670
## [393] train-mlogloss:0.007820+0.000090 test-mlogloss:1.212188+0.067203
## [394] train-mlogloss:0.007807+0.000090 test-mlogloss:1.211688+0.066912
## [395] train-mlogloss:0.007799+0.000086 test-mlogloss:1.211854+0.066411
## [396] train-mlogloss:0.007790+0.000089 test-mlogloss:1.211695+0.066697
## [397] train-mlogloss:0.007781+0.000086 test-mlogloss:1.212491+0.067175
## [398] train-mlogloss:0.007770+0.000081 test-mlogloss:1.212676+0.066768
## [399] train-mlogloss:0.007759+0.000083 test-mlogloss:1.213177+0.066610
## [400] train-mlogloss:0.007747+0.000083 test-mlogloss:1.213049+0.066909
## [401] train-mlogloss:0.007736+0.000082 test-mlogloss:1.212477+0.066956
## [402] train-mlogloss:0.007727+0.000076 test-mlogloss:1.214074+0.066964
## [403] train-mlogloss:0.007720+0.000075 test-mlogloss:1.213821+0.066070
## [404] train-mlogloss:0.007712+0.000072 test-mlogloss:1.214154+0.065907
## [405] train-mlogloss:0.007700+0.000075 test-mlogloss:1.214631+0.065931
## [406] train-mlogloss:0.007689+0.000073 test-mlogloss:1.214706+0.066524
## [407] train-mlogloss:0.007679+0.000073 test-mlogloss:1.215496+0.066908
## [408] train-mlogloss:0.007671+0.000071 test-mlogloss:1.215724+0.067315
## [409] train-mlogloss:0.007662+0.000072 test-mlogloss:1.215222+0.066331
## [410] train-mlogloss:0.007651+0.000071 test-mlogloss:1.215963+0.066098
## [411] train-mlogloss:0.007641+0.000069 test-mlogloss:1.217625+0.066871
## [412] train-mlogloss:0.007627+0.000064 test-mlogloss:1.217204+0.067328
## [413] train-mlogloss:0.007620+0.000065 test-mlogloss:1.216993+0.066552
## [414] train-mlogloss:0.007609+0.000064 test-mlogloss:1.217515+0.067089
## [415] train-mlogloss:0.007601+0.000066 test-mlogloss:1.217213+0.066870
## [416] train-mlogloss:0.007590+0.000065 test-mlogloss:1.217549+0.066778
## [417] train-mlogloss:0.007579+0.000060 test-mlogloss:1.217112+0.067095
## [418] train-mlogloss:0.007570+0.000067 test-mlogloss:1.217767+0.066704
## [419] train-mlogloss:0.007564+0.000071 test-mlogloss:1.216604+0.066731
## [420] train-mlogloss:0.007555+0.000069 test-mlogloss:1.216923+0.066597
## [421] train-mlogloss:0.007545+0.000068 test-mlogloss:1.217107+0.067707
## [422] train-mlogloss:0.007537+0.000066 test-mlogloss:1.217474+0.067221
## [423] train-mlogloss:0.007522+0.000070 test-mlogloss:1.219022+0.067406
## [424] train-mlogloss:0.007513+0.000070 test-mlogloss:1.218801+0.067888
## [425] train-mlogloss:0.007500+0.000071 test-mlogloss:1.218986+0.067458
## [426] train-mlogloss:0.007491+0.000072 test-mlogloss:1.218697+0.066545
## [427] train-mlogloss:0.007485+0.000072 test-mlogloss:1.218876+0.065836
## [428] train-mlogloss:0.007478+0.000075 test-mlogloss:1.221026+0.065833
## [429] train-mlogloss:0.007465+0.000074 test-mlogloss:1.220858+0.064909
## [430] train-mlogloss:0.007457+0.000072 test-mlogloss:1.221149+0.065127
## [431] train-mlogloss:0.007444+0.000070 test-mlogloss:1.221282+0.065593
## [432] train-mlogloss:0.007438+0.000071 test-mlogloss:1.222137+0.066044
## [433] train-mlogloss:0.007429+0.000072 test-mlogloss:1.222166+0.065900
## [434] train-mlogloss:0.007416+0.000075 test-mlogloss:1.220954+0.065623
## [435] train-mlogloss:0.007409+0.000073 test-mlogloss:1.221156+0.065839
## [436] train-mlogloss:0.007401+0.000075 test-mlogloss:1.221616+0.066243
## [437] train-mlogloss:0.007393+0.000069 test-mlogloss:1.221397+0.065505
## [438] train-mlogloss:0.007381+0.000065 test-mlogloss:1.222620+0.065915
## [439] train-mlogloss:0.007374+0.000066 test-mlogloss:1.222491+0.065949
## [440] train-mlogloss:0.007361+0.000066 test-mlogloss:1.223158+0.067355
## [441] train-mlogloss:0.007353+0.000065 test-mlogloss:1.223318+0.067197
## [442] train-mlogloss:0.007343+0.000067 test-mlogloss:1.222419+0.066226
## [443] train-mlogloss:0.007335+0.000065 test-mlogloss:1.222835+0.067252
## [444] train-mlogloss:0.007321+0.000064 test-mlogloss:1.221255+0.066584
## [445] train-mlogloss:0.007309+0.000067 test-mlogloss:1.222226+0.066995
## [446] train-mlogloss:0.007299+0.000069 test-mlogloss:1.221917+0.066792
## [447] train-mlogloss:0.007291+0.000070 test-mlogloss:1.223057+0.066824
## [448] train-mlogloss:0.007283+0.000067 test-mlogloss:1.222862+0.066614
## [449] train-mlogloss:0.007275+0.000070 test-mlogloss:1.223638+0.066313
## [450] train-mlogloss:0.007266+0.000068 test-mlogloss:1.223032+0.065496
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## [453] train-mlogloss:0.007234+0.000073 test-mlogloss:1.224591+0.064320
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## [455] train-mlogloss:0.007222+0.000073 test-mlogloss:1.224810+0.065496
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## [457] train-mlogloss:0.007202+0.000078 test-mlogloss:1.226075+0.065129
## [458] train-mlogloss:0.007194+0.000075 test-mlogloss:1.225854+0.065334
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## [462] train-mlogloss:0.007164+0.000072 test-mlogloss:1.226794+0.066226
## [463] train-mlogloss:0.007155+0.000070 test-mlogloss:1.227195+0.066333
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## [468] train-mlogloss:0.007118+0.000074 test-mlogloss:1.226341+0.066164
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## [470] train-mlogloss:0.007102+0.000073 test-mlogloss:1.226008+0.065726
## [471] train-mlogloss:0.007094+0.000075 test-mlogloss:1.226713+0.066248
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## [474] train-mlogloss:0.007071+0.000076 test-mlogloss:1.227696+0.066794
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## [476] train-mlogloss:0.007052+0.000075 test-mlogloss:1.229004+0.066046
## [477] train-mlogloss:0.007043+0.000076 test-mlogloss:1.229260+0.066028
## [478] train-mlogloss:0.007036+0.000073 test-mlogloss:1.230442+0.066161
## [479] train-mlogloss:0.007026+0.000072 test-mlogloss:1.229126+0.065688
## [480] train-mlogloss:0.007021+0.000069 test-mlogloss:1.229568+0.066013
## [481] train-mlogloss:0.007013+0.000072 test-mlogloss:1.229937+0.066487
## [482] train-mlogloss:0.007005+0.000070 test-mlogloss:1.231776+0.066597
## [483] train-mlogloss:0.006997+0.000072 test-mlogloss:1.230775+0.065455
## [484] train-mlogloss:0.006992+0.000075 test-mlogloss:1.232230+0.065699
## [485] train-mlogloss:0.006984+0.000071 test-mlogloss:1.232344+0.065797
## [486] train-mlogloss:0.006977+0.000070 test-mlogloss:1.231856+0.065435
## [487] train-mlogloss:0.006970+0.000073 test-mlogloss:1.232247+0.065579
## [488] train-mlogloss:0.006965+0.000076 test-mlogloss:1.232944+0.065913
## [489] train-mlogloss:0.006960+0.000073 test-mlogloss:1.234005+0.065309
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## [491] train-mlogloss:0.006942+0.000080 test-mlogloss:1.233730+0.064074
## [492] train-mlogloss:0.006938+0.000075 test-mlogloss:1.234269+0.064180
## [493] train-mlogloss:0.006930+0.000077 test-mlogloss:1.234533+0.063503
## [494] train-mlogloss:0.006922+0.000076 test-mlogloss:1.234832+0.063869
## [495] train-mlogloss:0.006912+0.000072 test-mlogloss:1.234557+0.063501
## [496] train-mlogloss:0.006900+0.000075 test-mlogloss:1.234730+0.064110
## [497] train-mlogloss:0.006897+0.000077 test-mlogloss:1.234966+0.064878
## [498] train-mlogloss:0.006891+0.000077 test-mlogloss:1.235348+0.064576
## [499] train-mlogloss:0.006883+0.000080 test-mlogloss:1.235507+0.064245
## [500] train-mlogloss:0.006880+0.000079 test-mlogloss:1.235743+0.064034
## [1] train-mlogloss:0.614187+0.001174 test-mlogloss:0.621364+0.002530
## [2] train-mlogloss:0.570153+0.001183 test-mlogloss:0.583925+0.004174
## [3] train-mlogloss:0.542848+0.002066 test-mlogloss:0.562797+0.005380
## [4] train-mlogloss:0.525220+0.002409 test-mlogloss:0.550713+0.006198
## [5] train-mlogloss:0.512673+0.002802 test-mlogloss:0.543474+0.007166
## [6] train-mlogloss:0.503967+0.003052 test-mlogloss:0.539598+0.007220
## [7] train-mlogloss:0.497329+0.002609 test-mlogloss:0.536882+0.007628
## [8] train-mlogloss:0.491433+0.002529 test-mlogloss:0.535512+0.008078
## [9] train-mlogloss:0.486975+0.002703 test-mlogloss:0.535259+0.008333
## [10] train-mlogloss:0.483700+0.002749 test-mlogloss:0.535113+0.008181
## [11] train-mlogloss:0.480085+0.002320 test-mlogloss:0.535033+0.008506
## [12] train-mlogloss:0.477174+0.002666 test-mlogloss:0.534642+0.008931
## [13] train-mlogloss:0.474548+0.002747 test-mlogloss:0.535294+0.009292
## [14] train-mlogloss:0.471171+0.002754 test-mlogloss:0.535711+0.009511
## [15] train-mlogloss:0.468670+0.003138 test-mlogloss:0.536310+0.010010
## [16] train-mlogloss:0.466618+0.002773 test-mlogloss:0.536723+0.009872
## [17] train-mlogloss:0.464140+0.002663 test-mlogloss:0.537540+0.009860
## [18] train-mlogloss:0.461454+0.002425 test-mlogloss:0.538021+0.010256
## [19] train-mlogloss:0.458739+0.002649 test-mlogloss:0.539063+0.010161
## [20] train-mlogloss:0.456169+0.003035 test-mlogloss:0.539522+0.010118
## [21] train-mlogloss:0.453450+0.002744 test-mlogloss:0.539798+0.010706
## [22] train-mlogloss:0.450366+0.003577 test-mlogloss:0.540408+0.011159
## [23] train-mlogloss:0.448092+0.002801 test-mlogloss:0.540513+0.011128
## [24] train-mlogloss:0.445159+0.002593 test-mlogloss:0.541273+0.011032
## [25] train-mlogloss:0.442580+0.002473 test-mlogloss:0.541773+0.010802
## [26] train-mlogloss:0.440046+0.002914 test-mlogloss:0.541945+0.010910
## [27] train-mlogloss:0.437369+0.001909 test-mlogloss:0.542456+0.010813
## [28] train-mlogloss:0.434631+0.002777 test-mlogloss:0.543365+0.011004
## [29] train-mlogloss:0.432874+0.002188 test-mlogloss:0.543537+0.010707
## [30] train-mlogloss:0.430710+0.002158 test-mlogloss:0.544094+0.010833
## [31] train-mlogloss:0.428335+0.002052 test-mlogloss:0.544740+0.010763
## [32] train-mlogloss:0.426134+0.002745 test-mlogloss:0.545041+0.010697
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## [245] train-mlogloss:0.158428+0.001816 test-mlogloss:0.644785+0.022970
## [246] train-mlogloss:0.157547+0.001836 test-mlogloss:0.645291+0.022828
## [247] train-mlogloss:0.156840+0.001796 test-mlogloss:0.646013+0.022529
## [248] train-mlogloss:0.156123+0.001670 test-mlogloss:0.646570+0.022705
## [249] train-mlogloss:0.155415+0.001793 test-mlogloss:0.646913+0.022574
## [250] train-mlogloss:0.154799+0.001870 test-mlogloss:0.647772+0.022402
## [251] train-mlogloss:0.154016+0.001865 test-mlogloss:0.648281+0.022237
## [252] train-mlogloss:0.153481+0.001849 test-mlogloss:0.648792+0.022194
## [253] train-mlogloss:0.152973+0.001767 test-mlogloss:0.649625+0.022442
## [254] train-mlogloss:0.152278+0.001711 test-mlogloss:0.649970+0.022650
## [255] train-mlogloss:0.151762+0.001654 test-mlogloss:0.650535+0.022298
## [256] train-mlogloss:0.151113+0.001673 test-mlogloss:0.651126+0.022474
## [257] train-mlogloss:0.150569+0.001555 test-mlogloss:0.651766+0.022277
## [258] train-mlogloss:0.149857+0.001560 test-mlogloss:0.652022+0.022032
## [259] train-mlogloss:0.149273+0.001499 test-mlogloss:0.652517+0.021836
## [260] train-mlogloss:0.148748+0.001501 test-mlogloss:0.653248+0.021729
## [261] train-mlogloss:0.148062+0.001478 test-mlogloss:0.653492+0.021589
## [262] train-mlogloss:0.147479+0.001549 test-mlogloss:0.653623+0.021876
## [263] train-mlogloss:0.146793+0.001545 test-mlogloss:0.653912+0.021879
## [264] train-mlogloss:0.146084+0.001652 test-mlogloss:0.654302+0.021850
## [265] train-mlogloss:0.145457+0.001776 test-mlogloss:0.654811+0.022213
## [266] train-mlogloss:0.144906+0.001800 test-mlogloss:0.655611+0.022235
## [267] train-mlogloss:0.144290+0.001794 test-mlogloss:0.655900+0.022441
## [268] train-mlogloss:0.143718+0.001862 test-mlogloss:0.656634+0.022768
## [269] train-mlogloss:0.143146+0.001935 test-mlogloss:0.656979+0.022715
## [270] train-mlogloss:0.142657+0.002040 test-mlogloss:0.657316+0.022452
## [271] train-mlogloss:0.142009+0.002096 test-mlogloss:0.658426+0.022435
## [272] train-mlogloss:0.141390+0.002229 test-mlogloss:0.659045+0.022673
## [273] train-mlogloss:0.140790+0.002255 test-mlogloss:0.660092+0.022686
## [274] train-mlogloss:0.140051+0.002315 test-mlogloss:0.660960+0.022882
## [275] train-mlogloss:0.139440+0.002395 test-mlogloss:0.661732+0.023020
## [276] train-mlogloss:0.138984+0.002446 test-mlogloss:0.661956+0.023089
## [277] train-mlogloss:0.138511+0.002394 test-mlogloss:0.662202+0.023163
## [278] train-mlogloss:0.137989+0.002320 test-mlogloss:0.663227+0.022853
## [279] train-mlogloss:0.137262+0.002370 test-mlogloss:0.663832+0.022572
## [280] train-mlogloss:0.136821+0.002350 test-mlogloss:0.664418+0.022638
## [281] train-mlogloss:0.136302+0.002371 test-mlogloss:0.664755+0.022727
## [282] train-mlogloss:0.135765+0.002400 test-mlogloss:0.665279+0.022735
## [283] train-mlogloss:0.135203+0.002528 test-mlogloss:0.665883+0.023095
## [284] train-mlogloss:0.134708+0.002362 test-mlogloss:0.666099+0.023371
## [285] train-mlogloss:0.134157+0.002375 test-mlogloss:0.666925+0.023571
## [286] train-mlogloss:0.133634+0.002400 test-mlogloss:0.667535+0.023976
## [287] train-mlogloss:0.133127+0.002454 test-mlogloss:0.668176+0.023814
## [288] train-mlogloss:0.132592+0.002476 test-mlogloss:0.668778+0.023791
## [289] train-mlogloss:0.131968+0.002433 test-mlogloss:0.669758+0.024207
## [290] train-mlogloss:0.131473+0.002504 test-mlogloss:0.670626+0.023989
## [291] train-mlogloss:0.130942+0.002539 test-mlogloss:0.671022+0.023908
## [292] train-mlogloss:0.130381+0.002504 test-mlogloss:0.672016+0.023931
## [293] train-mlogloss:0.129731+0.002498 test-mlogloss:0.672614+0.023734
## [294] train-mlogloss:0.129271+0.002493 test-mlogloss:0.672956+0.024206
## [295] train-mlogloss:0.128685+0.002263 test-mlogloss:0.673994+0.023936
## [296] train-mlogloss:0.128331+0.002246 test-mlogloss:0.674191+0.023950
## [297] train-mlogloss:0.127929+0.002306 test-mlogloss:0.674633+0.024161
## [298] train-mlogloss:0.127474+0.002394 test-mlogloss:0.675054+0.024173
## [299] train-mlogloss:0.126999+0.002466 test-mlogloss:0.675479+0.023831
## [300] train-mlogloss:0.126531+0.002447 test-mlogloss:0.675677+0.023798
## [301] train-mlogloss:0.126019+0.002368 test-mlogloss:0.675730+0.023699
## [302] train-mlogloss:0.125496+0.002282 test-mlogloss:0.676121+0.023159
## [303] train-mlogloss:0.124922+0.002273 test-mlogloss:0.676699+0.023284
## [304] train-mlogloss:0.124376+0.002174 test-mlogloss:0.677451+0.023294
## [305] train-mlogloss:0.123849+0.002111 test-mlogloss:0.678172+0.023495
## [306] train-mlogloss:0.123512+0.002104 test-mlogloss:0.678848+0.023599
## [307] train-mlogloss:0.122918+0.002109 test-mlogloss:0.679578+0.023821
## [308] train-mlogloss:0.122460+0.002140 test-mlogloss:0.679872+0.023840
## [309] train-mlogloss:0.121968+0.002113 test-mlogloss:0.680268+0.023877
## [310] train-mlogloss:0.121536+0.002097 test-mlogloss:0.680829+0.024100
## [311] train-mlogloss:0.121129+0.002058 test-mlogloss:0.681110+0.024045
## [312] train-mlogloss:0.120672+0.002081 test-mlogloss:0.681999+0.024273
## [313] train-mlogloss:0.120269+0.002052 test-mlogloss:0.682066+0.024161
## [314] train-mlogloss:0.119729+0.002096 test-mlogloss:0.682482+0.024209
## [315] train-mlogloss:0.119377+0.001979 test-mlogloss:0.682617+0.024020
## [316] train-mlogloss:0.118982+0.002013 test-mlogloss:0.683009+0.024105
## [317] train-mlogloss:0.118556+0.002040 test-mlogloss:0.683370+0.024090
## [318] train-mlogloss:0.118126+0.002060 test-mlogloss:0.683974+0.023965
## [319] train-mlogloss:0.117614+0.001984 test-mlogloss:0.684238+0.024285
## [320] train-mlogloss:0.117135+0.002054 test-mlogloss:0.684535+0.024610
## [321] train-mlogloss:0.116709+0.002090 test-mlogloss:0.685011+0.024714
## [322] train-mlogloss:0.116262+0.002051 test-mlogloss:0.685685+0.024827
## [323] train-mlogloss:0.115904+0.002008 test-mlogloss:0.686188+0.024646
## [324] train-mlogloss:0.115473+0.002008 test-mlogloss:0.686510+0.024610
## [325] train-mlogloss:0.115076+0.001992 test-mlogloss:0.687253+0.024595
## [326] train-mlogloss:0.114701+0.002080 test-mlogloss:0.687756+0.025065
## [327] train-mlogloss:0.114346+0.002073 test-mlogloss:0.688309+0.025439
## [328] train-mlogloss:0.113855+0.001998 test-mlogloss:0.688835+0.025147
## [329] train-mlogloss:0.113384+0.001975 test-mlogloss:0.689269+0.025231
## [330] train-mlogloss:0.112935+0.001919 test-mlogloss:0.689535+0.025308
## [331] train-mlogloss:0.112508+0.001965 test-mlogloss:0.689902+0.025329
## [332] train-mlogloss:0.112173+0.001928 test-mlogloss:0.689992+0.025285
## [333] train-mlogloss:0.111738+0.002005 test-mlogloss:0.690067+0.024911
## [334] train-mlogloss:0.111213+0.002049 test-mlogloss:0.690612+0.024736
## [335] train-mlogloss:0.110790+0.002008 test-mlogloss:0.690975+0.024641
## [336] train-mlogloss:0.110293+0.001996 test-mlogloss:0.691838+0.024544
## [337] train-mlogloss:0.109856+0.001982 test-mlogloss:0.692441+0.024735
## [338] train-mlogloss:0.109372+0.001995 test-mlogloss:0.693207+0.024671
## [339] train-mlogloss:0.108914+0.002037 test-mlogloss:0.693580+0.024217
## [340] train-mlogloss:0.108475+0.001999 test-mlogloss:0.694301+0.023979
## [341] train-mlogloss:0.108132+0.002133 test-mlogloss:0.694829+0.024329
## [342] train-mlogloss:0.107761+0.002017 test-mlogloss:0.695375+0.024287
## [343] train-mlogloss:0.107414+0.002002 test-mlogloss:0.696292+0.024444
## [344] train-mlogloss:0.107006+0.001930 test-mlogloss:0.696898+0.024736
## [345] train-mlogloss:0.106652+0.001859 test-mlogloss:0.697400+0.024816
## [346] train-mlogloss:0.106265+0.001843 test-mlogloss:0.697790+0.024585
## [347] train-mlogloss:0.105791+0.001821 test-mlogloss:0.698602+0.024721
## [348] train-mlogloss:0.105381+0.001821 test-mlogloss:0.699300+0.024231
## [349] train-mlogloss:0.105044+0.001913 test-mlogloss:0.699758+0.024209
## [350] train-mlogloss:0.104639+0.001913 test-mlogloss:0.700336+0.024100
## [351] train-mlogloss:0.104250+0.001867 test-mlogloss:0.700952+0.024035
## [352] train-mlogloss:0.103863+0.001760 test-mlogloss:0.701271+0.024106
## [353] train-mlogloss:0.103391+0.001775 test-mlogloss:0.701586+0.024018
## [354] train-mlogloss:0.102902+0.001673 test-mlogloss:0.702041+0.024193
## [355] train-mlogloss:0.102505+0.001629 test-mlogloss:0.702522+0.024401
## [356] train-mlogloss:0.102123+0.001736 test-mlogloss:0.702872+0.024453
## [357] train-mlogloss:0.101779+0.001776 test-mlogloss:0.703138+0.024424
## [358] train-mlogloss:0.101370+0.001771 test-mlogloss:0.703084+0.024712
## [359] train-mlogloss:0.101064+0.001840 test-mlogloss:0.703574+0.024901
## [360] train-mlogloss:0.100719+0.001821 test-mlogloss:0.703997+0.025193
## [361] train-mlogloss:0.100383+0.001759 test-mlogloss:0.704337+0.025041
## [362] train-mlogloss:0.100098+0.001720 test-mlogloss:0.704520+0.025015
## [363] train-mlogloss:0.099710+0.001635 test-mlogloss:0.704742+0.025141
## [364] train-mlogloss:0.099304+0.001613 test-mlogloss:0.705267+0.025132
## [365] train-mlogloss:0.098922+0.001675 test-mlogloss:0.705633+0.025013
## [366] train-mlogloss:0.098559+0.001712 test-mlogloss:0.706094+0.025399
## [367] train-mlogloss:0.098230+0.001679 test-mlogloss:0.706807+0.025431
## [368] train-mlogloss:0.097815+0.001596 test-mlogloss:0.706973+0.025117
## [369] train-mlogloss:0.097415+0.001613 test-mlogloss:0.707597+0.025222
## [370] train-mlogloss:0.096965+0.001502 test-mlogloss:0.707720+0.025586
## [371] train-mlogloss:0.096548+0.001478 test-mlogloss:0.708408+0.025728
## [372] train-mlogloss:0.096245+0.001483 test-mlogloss:0.708865+0.025992
## [373] train-mlogloss:0.095959+0.001510 test-mlogloss:0.709435+0.026169
## [374] train-mlogloss:0.095606+0.001520 test-mlogloss:0.709934+0.026253
## [375] train-mlogloss:0.095209+0.001577 test-mlogloss:0.710191+0.025942
## [376] train-mlogloss:0.094898+0.001575 test-mlogloss:0.710691+0.025964
## [377] train-mlogloss:0.094641+0.001559 test-mlogloss:0.711066+0.025950
## [378] train-mlogloss:0.094316+0.001574 test-mlogloss:0.711842+0.026148
## [379] train-mlogloss:0.094079+0.001568 test-mlogloss:0.712314+0.025935
## [380] train-mlogloss:0.093732+0.001600 test-mlogloss:0.712725+0.026089
## [381] train-mlogloss:0.093445+0.001556 test-mlogloss:0.713277+0.026000
## [382] train-mlogloss:0.093086+0.001596 test-mlogloss:0.713518+0.026240
## [383] train-mlogloss:0.092773+0.001566 test-mlogloss:0.714008+0.026475
## [384] train-mlogloss:0.092474+0.001548 test-mlogloss:0.714372+0.026625
## [385] train-mlogloss:0.092099+0.001454 test-mlogloss:0.714731+0.026731
## [386] train-mlogloss:0.091791+0.001403 test-mlogloss:0.715219+0.026913
## [387] train-mlogloss:0.091486+0.001392 test-mlogloss:0.715760+0.026890
## [388] train-mlogloss:0.091158+0.001393 test-mlogloss:0.715903+0.026709
## [389] train-mlogloss:0.090909+0.001431 test-mlogloss:0.716540+0.026575
## [390] train-mlogloss:0.090608+0.001420 test-mlogloss:0.717026+0.026676
## [391] train-mlogloss:0.090304+0.001433 test-mlogloss:0.717479+0.026534
## [392] train-mlogloss:0.089963+0.001333 test-mlogloss:0.718081+0.026689
## [393] train-mlogloss:0.089685+0.001364 test-mlogloss:0.718715+0.026823
## [394] train-mlogloss:0.089412+0.001337 test-mlogloss:0.719453+0.026854
## [395] train-mlogloss:0.089142+0.001297 test-mlogloss:0.719885+0.027014
## [396] train-mlogloss:0.088818+0.001311 test-mlogloss:0.720399+0.027056
## [397] train-mlogloss:0.088471+0.001349 test-mlogloss:0.720894+0.027015
## [398] train-mlogloss:0.088180+0.001384 test-mlogloss:0.721524+0.026896
## [399] train-mlogloss:0.087915+0.001382 test-mlogloss:0.721909+0.027237
## [400] train-mlogloss:0.087518+0.001441 test-mlogloss:0.722506+0.027330
## [401] train-mlogloss:0.087193+0.001439 test-mlogloss:0.722960+0.027655
## [402] train-mlogloss:0.086888+0.001399 test-mlogloss:0.723014+0.027715
## [403] train-mlogloss:0.086586+0.001386 test-mlogloss:0.722818+0.027598
## [404] train-mlogloss:0.086310+0.001388 test-mlogloss:0.723622+0.027727
## [405] train-mlogloss:0.085963+0.001425 test-mlogloss:0.724077+0.027886
## [406] train-mlogloss:0.085668+0.001404 test-mlogloss:0.724627+0.027874
## [407] train-mlogloss:0.085315+0.001332 test-mlogloss:0.725381+0.027585
## [408] train-mlogloss:0.085050+0.001261 test-mlogloss:0.725631+0.027737
## [409] train-mlogloss:0.084735+0.001341 test-mlogloss:0.726066+0.027759
## [410] train-mlogloss:0.084495+0.001325 test-mlogloss:0.726591+0.027894
## [411] train-mlogloss:0.084156+0.001324 test-mlogloss:0.727073+0.027922
## [412] train-mlogloss:0.083886+0.001274 test-mlogloss:0.727799+0.027644
## [413] train-mlogloss:0.083662+0.001281 test-mlogloss:0.728441+0.027726
## [414] train-mlogloss:0.083326+0.001265 test-mlogloss:0.729205+0.027509
## [415] train-mlogloss:0.083039+0.001327 test-mlogloss:0.729453+0.027735
## [416] train-mlogloss:0.082778+0.001348 test-mlogloss:0.729954+0.027630
## [417] train-mlogloss:0.082487+0.001347 test-mlogloss:0.730450+0.027720
## [418] train-mlogloss:0.082217+0.001338 test-mlogloss:0.730848+0.027998
## [419] train-mlogloss:0.081878+0.001356 test-mlogloss:0.731402+0.027876
## [420] train-mlogloss:0.081636+0.001318 test-mlogloss:0.731841+0.028019
## [421] train-mlogloss:0.081338+0.001325 test-mlogloss:0.731898+0.028192
## [422] train-mlogloss:0.081112+0.001266 test-mlogloss:0.732466+0.028282
## [423] train-mlogloss:0.080848+0.001253 test-mlogloss:0.733130+0.028258
## [424] train-mlogloss:0.080653+0.001261 test-mlogloss:0.733535+0.028342
## [425] train-mlogloss:0.080353+0.001236 test-mlogloss:0.733952+0.028115
## [426] train-mlogloss:0.080048+0.001172 test-mlogloss:0.734133+0.027966
## [427] train-mlogloss:0.079796+0.001232 test-mlogloss:0.734524+0.027648
## [428] train-mlogloss:0.079620+0.001220 test-mlogloss:0.734773+0.027390
## [429] train-mlogloss:0.079329+0.001243 test-mlogloss:0.735456+0.027568
## [430] train-mlogloss:0.079130+0.001223 test-mlogloss:0.735913+0.027451
## [431] train-mlogloss:0.078841+0.001227 test-mlogloss:0.736500+0.027641
## [432] train-mlogloss:0.078576+0.001222 test-mlogloss:0.736638+0.027924
## [433] train-mlogloss:0.078323+0.001149 test-mlogloss:0.736689+0.028131
## [434] train-mlogloss:0.078008+0.001197 test-mlogloss:0.737441+0.028461
## [435] train-mlogloss:0.077683+0.001210 test-mlogloss:0.737610+0.028366
## [436] train-mlogloss:0.077458+0.001245 test-mlogloss:0.737628+0.028485
## [437] train-mlogloss:0.077175+0.001221 test-mlogloss:0.738056+0.028850
## [438] train-mlogloss:0.076873+0.001301 test-mlogloss:0.738466+0.029032
## [439] train-mlogloss:0.076676+0.001283 test-mlogloss:0.738961+0.029110
## [440] train-mlogloss:0.076444+0.001257 test-mlogloss:0.739543+0.029061
## [441] train-mlogloss:0.076188+0.001342 test-mlogloss:0.739984+0.029055
## [442] train-mlogloss:0.075934+0.001364 test-mlogloss:0.740720+0.028874
## [443] train-mlogloss:0.075653+0.001420 test-mlogloss:0.741093+0.028708
## [444] train-mlogloss:0.075440+0.001352 test-mlogloss:0.741328+0.028647
## [445] train-mlogloss:0.075209+0.001344 test-mlogloss:0.742100+0.028607
## [446] train-mlogloss:0.075000+0.001370 test-mlogloss:0.742170+0.028410
## [447] train-mlogloss:0.074781+0.001360 test-mlogloss:0.742654+0.028674
## [448] train-mlogloss:0.074595+0.001376 test-mlogloss:0.743123+0.028848
## [449] train-mlogloss:0.074385+0.001343 test-mlogloss:0.743479+0.028557
## [450] train-mlogloss:0.074189+0.001317 test-mlogloss:0.743809+0.028963
## [451] train-mlogloss:0.073949+0.001311 test-mlogloss:0.744357+0.028732
## [452] train-mlogloss:0.073627+0.001270 test-mlogloss:0.744757+0.028496
## [453] train-mlogloss:0.073450+0.001336 test-mlogloss:0.744952+0.028433
## [454] train-mlogloss:0.073198+0.001317 test-mlogloss:0.745757+0.028315
## [455] train-mlogloss:0.072989+0.001308 test-mlogloss:0.746152+0.028340
## [456] train-mlogloss:0.072741+0.001310 test-mlogloss:0.746975+0.028615
## [457] train-mlogloss:0.072446+0.001290 test-mlogloss:0.747299+0.028723
## [458] train-mlogloss:0.072196+0.001281 test-mlogloss:0.748031+0.028702
## [459] train-mlogloss:0.071947+0.001325 test-mlogloss:0.748418+0.028857
## [460] train-mlogloss:0.071697+0.001364 test-mlogloss:0.749006+0.029070
## [461] train-mlogloss:0.071489+0.001363 test-mlogloss:0.749577+0.028827
## [462] train-mlogloss:0.071288+0.001322 test-mlogloss:0.749860+0.028959
## [463] train-mlogloss:0.071061+0.001302 test-mlogloss:0.750390+0.029058
## [464] train-mlogloss:0.070828+0.001259 test-mlogloss:0.750780+0.028936
## [465] train-mlogloss:0.070631+0.001227 test-mlogloss:0.751274+0.028763
## [466] train-mlogloss:0.070444+0.001218 test-mlogloss:0.751185+0.028848
## [467] train-mlogloss:0.070233+0.001197 test-mlogloss:0.751674+0.028899
## [468] train-mlogloss:0.069987+0.001097 test-mlogloss:0.752241+0.028599
## [469] train-mlogloss:0.069721+0.001126 test-mlogloss:0.752598+0.028755
## [470] train-mlogloss:0.069494+0.001144 test-mlogloss:0.753017+0.028979
## [471] train-mlogloss:0.069201+0.001211 test-mlogloss:0.753584+0.028975
## [472] train-mlogloss:0.068977+0.001205 test-mlogloss:0.754346+0.028775
## [473] train-mlogloss:0.068751+0.001167 test-mlogloss:0.754870+0.028311
## [474] train-mlogloss:0.068520+0.001161 test-mlogloss:0.755350+0.028085
## [475] train-mlogloss:0.068303+0.001118 test-mlogloss:0.755549+0.028195
## [476] train-mlogloss:0.068063+0.001168 test-mlogloss:0.755964+0.028315
## [477] train-mlogloss:0.067832+0.001184 test-mlogloss:0.756275+0.028588
## [478] train-mlogloss:0.067633+0.001132 test-mlogloss:0.756632+0.028595
## [479] train-mlogloss:0.067453+0.001138 test-mlogloss:0.757369+0.028538
## [480] train-mlogloss:0.067231+0.001088 test-mlogloss:0.757702+0.028504
## [481] train-mlogloss:0.067060+0.001086 test-mlogloss:0.757880+0.028447
## [482] train-mlogloss:0.066833+0.001089 test-mlogloss:0.758364+0.028373
## [483] train-mlogloss:0.066702+0.001090 test-mlogloss:0.758868+0.028523
## [484] train-mlogloss:0.066487+0.001068 test-mlogloss:0.759042+0.028608
## [485] train-mlogloss:0.066351+0.001012 test-mlogloss:0.759210+0.028579
## [486] train-mlogloss:0.066128+0.001050 test-mlogloss:0.759688+0.028745
## [487] train-mlogloss:0.065945+0.001075 test-mlogloss:0.760114+0.028811
## [488] train-mlogloss:0.065680+0.001091 test-mlogloss:0.760681+0.029097
## [489] train-mlogloss:0.065487+0.001097 test-mlogloss:0.761375+0.029111
## [490] train-mlogloss:0.065268+0.001133 test-mlogloss:0.761768+0.028966
## [491] train-mlogloss:0.065034+0.001149 test-mlogloss:0.762364+0.028994
## [492] train-mlogloss:0.064792+0.001142 test-mlogloss:0.762785+0.029198
## [493] train-mlogloss:0.064630+0.001142 test-mlogloss:0.763326+0.029202
## [494] train-mlogloss:0.064424+0.001111 test-mlogloss:0.763734+0.029367
## [495] train-mlogloss:0.064252+0.001060 test-mlogloss:0.764050+0.029629
## [496] train-mlogloss:0.064082+0.001021 test-mlogloss:0.764366+0.029649
## [497] train-mlogloss:0.063894+0.001028 test-mlogloss:0.764714+0.029849
## [498] train-mlogloss:0.063730+0.001011 test-mlogloss:0.764797+0.029482
## [499] train-mlogloss:0.063587+0.000983 test-mlogloss:0.765216+0.029412
## [500] train-mlogloss:0.063421+0.001001 test-mlogloss:0.765824+0.029444
## [1] train-mlogloss:0.578852+0.001107 test-mlogloss:0.626880+0.002962
## [2] train-mlogloss:0.504568+0.001344 test-mlogloss:0.590562+0.004345
## [3] train-mlogloss:0.449311+0.001631 test-mlogloss:0.574147+0.007330
## [4] train-mlogloss:0.407025+0.001407 test-mlogloss:0.564636+0.008685
## [5] train-mlogloss:0.371690+0.001056 test-mlogloss:0.560573+0.009261
## [6] train-mlogloss:0.342494+0.001382 test-mlogloss:0.560397+0.009312
## [7] train-mlogloss:0.318001+0.001185 test-mlogloss:0.560672+0.009828
## [8] train-mlogloss:0.296614+0.001659 test-mlogloss:0.563629+0.009891
## [9] train-mlogloss:0.277964+0.002121 test-mlogloss:0.566454+0.010463
## [10] train-mlogloss:0.261671+0.001898 test-mlogloss:0.569178+0.010812
## [11] train-mlogloss:0.247492+0.002349 test-mlogloss:0.571997+0.011872
## [12] train-mlogloss:0.236162+0.001820 test-mlogloss:0.575091+0.011276
## [13] train-mlogloss:0.225539+0.001609 test-mlogloss:0.577238+0.011782
## [14] train-mlogloss:0.216153+0.001730 test-mlogloss:0.581149+0.012201
## [15] train-mlogloss:0.207994+0.001723 test-mlogloss:0.583596+0.012796
## [16] train-mlogloss:0.200026+0.001735 test-mlogloss:0.586315+0.012035
## [17] train-mlogloss:0.191726+0.002835 test-mlogloss:0.589829+0.012347
## [18] train-mlogloss:0.185760+0.002876 test-mlogloss:0.591812+0.011957
## [19] train-mlogloss:0.179468+0.001885 test-mlogloss:0.594802+0.012088
## [20] train-mlogloss:0.172758+0.002563 test-mlogloss:0.597961+0.012916
## [21] train-mlogloss:0.167046+0.002788 test-mlogloss:0.600706+0.014005
## [22] train-mlogloss:0.161816+0.002240 test-mlogloss:0.602986+0.013986
## [23] train-mlogloss:0.156523+0.002144 test-mlogloss:0.606273+0.013391
## [24] train-mlogloss:0.151861+0.001765 test-mlogloss:0.608639+0.013067
## [25] train-mlogloss:0.146711+0.001920 test-mlogloss:0.611317+0.013142
## [26] train-mlogloss:0.141781+0.001909 test-mlogloss:0.614022+0.013381
## [27] train-mlogloss:0.137487+0.002098 test-mlogloss:0.616614+0.013735
## [28] train-mlogloss:0.133567+0.001715 test-mlogloss:0.618537+0.013740
## [29] train-mlogloss:0.129467+0.001480 test-mlogloss:0.620659+0.014272
## [30] train-mlogloss:0.125528+0.001404 test-mlogloss:0.623315+0.014456
## [31] train-mlogloss:0.121977+0.001511 test-mlogloss:0.625503+0.014129
## [32] train-mlogloss:0.118023+0.001183 test-mlogloss:0.628592+0.014834
## [33] train-mlogloss:0.114441+0.001127 test-mlogloss:0.632069+0.014413
## [34] train-mlogloss:0.111025+0.001001 test-mlogloss:0.634713+0.014173
## [35] train-mlogloss:0.108021+0.000726 test-mlogloss:0.636984+0.014903
## [36] train-mlogloss:0.104981+0.000953 test-mlogloss:0.640037+0.015753
## [37] train-mlogloss:0.102324+0.000852 test-mlogloss:0.642309+0.015532
## [38] train-mlogloss:0.100038+0.000970 test-mlogloss:0.643791+0.016358
## [39] train-mlogloss:0.097478+0.000977 test-mlogloss:0.646451+0.015891
## [40] train-mlogloss:0.094972+0.000895 test-mlogloss:0.648415+0.016104
## [41] train-mlogloss:0.092960+0.000793 test-mlogloss:0.650394+0.016329
## [42] train-mlogloss:0.090717+0.000684 test-mlogloss:0.652102+0.016096
## [43] train-mlogloss:0.088657+0.000715 test-mlogloss:0.654537+0.017064
## [44] train-mlogloss:0.086571+0.000700 test-mlogloss:0.656796+0.016680
## [45] train-mlogloss:0.084658+0.000737 test-mlogloss:0.659456+0.016310
## [46] train-mlogloss:0.082875+0.000910 test-mlogloss:0.661319+0.016099
## [47] train-mlogloss:0.081145+0.000924 test-mlogloss:0.663331+0.016602
## [48] train-mlogloss:0.079383+0.000759 test-mlogloss:0.665763+0.016837
## [49] train-mlogloss:0.077688+0.000767 test-mlogloss:0.667660+0.016935
## [50] train-mlogloss:0.076254+0.001030 test-mlogloss:0.669035+0.016795
## [51] train-mlogloss:0.074765+0.001042 test-mlogloss:0.671352+0.016875
## [52] train-mlogloss:0.073241+0.001006 test-mlogloss:0.672863+0.017334
## [53] train-mlogloss:0.071823+0.000965 test-mlogloss:0.674963+0.017329
## [54] train-mlogloss:0.070550+0.000868 test-mlogloss:0.677219+0.017570
## [55] train-mlogloss:0.069260+0.000801 test-mlogloss:0.678871+0.017113
## [56] train-mlogloss:0.067950+0.000762 test-mlogloss:0.680611+0.017213
## [57] train-mlogloss:0.066793+0.000700 test-mlogloss:0.682235+0.017109
## [58] train-mlogloss:0.065636+0.000705 test-mlogloss:0.683507+0.016932
## [59] train-mlogloss:0.064455+0.000684 test-mlogloss:0.684799+0.017020
## [60] train-mlogloss:0.063313+0.000701 test-mlogloss:0.686668+0.017134
## [61] train-mlogloss:0.062235+0.000708 test-mlogloss:0.688519+0.017198
## [62] train-mlogloss:0.061217+0.000705 test-mlogloss:0.690050+0.017069
## [63] train-mlogloss:0.060236+0.000776 test-mlogloss:0.691645+0.017274
## [64] train-mlogloss:0.059301+0.000734 test-mlogloss:0.693644+0.016995
## [65] train-mlogloss:0.058412+0.000688 test-mlogloss:0.695163+0.017645
## [66] train-mlogloss:0.057509+0.000719 test-mlogloss:0.695946+0.017767
## [67] train-mlogloss:0.056630+0.000681 test-mlogloss:0.697529+0.018109
## [68] train-mlogloss:0.055815+0.000678 test-mlogloss:0.699527+0.018207
## [69] train-mlogloss:0.054959+0.000636 test-mlogloss:0.701311+0.018083
## [70] train-mlogloss:0.054139+0.000587 test-mlogloss:0.702702+0.018395
## [71] train-mlogloss:0.053346+0.000584 test-mlogloss:0.704243+0.017881
## [72] train-mlogloss:0.052674+0.000582 test-mlogloss:0.705418+0.018194
## [73] train-mlogloss:0.051999+0.000562 test-mlogloss:0.707448+0.018521
## [74] train-mlogloss:0.051327+0.000586 test-mlogloss:0.708587+0.018446
## [75] train-mlogloss:0.050673+0.000528 test-mlogloss:0.709981+0.018656
## [76] train-mlogloss:0.050013+0.000547 test-mlogloss:0.711286+0.018385
## [77] train-mlogloss:0.049329+0.000506 test-mlogloss:0.712814+0.017853
## [78] train-mlogloss:0.048722+0.000474 test-mlogloss:0.713992+0.017994
## [79] train-mlogloss:0.048124+0.000466 test-mlogloss:0.715924+0.017612
## [80] train-mlogloss:0.047508+0.000464 test-mlogloss:0.717176+0.017255
## [81] train-mlogloss:0.046937+0.000471 test-mlogloss:0.718396+0.017551
## [82] train-mlogloss:0.046366+0.000425 test-mlogloss:0.720071+0.017597
## [83] train-mlogloss:0.045827+0.000415 test-mlogloss:0.721712+0.018407
## [84] train-mlogloss:0.045295+0.000403 test-mlogloss:0.723204+0.018909
## [85] train-mlogloss:0.044797+0.000398 test-mlogloss:0.724010+0.018840
## [86] train-mlogloss:0.044293+0.000397 test-mlogloss:0.725324+0.019333
## [87] train-mlogloss:0.043813+0.000433 test-mlogloss:0.726543+0.019438
## [88] train-mlogloss:0.043339+0.000475 test-mlogloss:0.728036+0.019290
## [89] train-mlogloss:0.042864+0.000479 test-mlogloss:0.728956+0.019537
## [90] train-mlogloss:0.042433+0.000471 test-mlogloss:0.729927+0.019653
## [91] train-mlogloss:0.041996+0.000498 test-mlogloss:0.731353+0.019343
## [92] train-mlogloss:0.041537+0.000498 test-mlogloss:0.732210+0.019362
## [93] train-mlogloss:0.041109+0.000494 test-mlogloss:0.733571+0.019548
## [94] train-mlogloss:0.040668+0.000497 test-mlogloss:0.734762+0.019242
## [95] train-mlogloss:0.040255+0.000493 test-mlogloss:0.736052+0.018954
## [96] train-mlogloss:0.039843+0.000481 test-mlogloss:0.737254+0.019080
## [97] train-mlogloss:0.039456+0.000463 test-mlogloss:0.738193+0.018939
## [98] train-mlogloss:0.039060+0.000452 test-mlogloss:0.739940+0.018823
## [99] train-mlogloss:0.038700+0.000438 test-mlogloss:0.740810+0.018219
## [100] train-mlogloss:0.038338+0.000434 test-mlogloss:0.741371+0.018541
## [101] train-mlogloss:0.037973+0.000409 test-mlogloss:0.742672+0.018552
## [102] train-mlogloss:0.037622+0.000406 test-mlogloss:0.743887+0.018377
## [103] train-mlogloss:0.037266+0.000404 test-mlogloss:0.745019+0.018170
## [104] train-mlogloss:0.036941+0.000397 test-mlogloss:0.746208+0.018116
## [105] train-mlogloss:0.036615+0.000376 test-mlogloss:0.747138+0.018528
## [106] train-mlogloss:0.036303+0.000371 test-mlogloss:0.748121+0.018541
## [107] train-mlogloss:0.036000+0.000370 test-mlogloss:0.749348+0.018748
## [108] train-mlogloss:0.035690+0.000384 test-mlogloss:0.749860+0.019001
## [109] train-mlogloss:0.035389+0.000373 test-mlogloss:0.750610+0.019071
## [110] train-mlogloss:0.035101+0.000373 test-mlogloss:0.751776+0.019234
## [111] train-mlogloss:0.034795+0.000376 test-mlogloss:0.752837+0.019159
## [112] train-mlogloss:0.034508+0.000367 test-mlogloss:0.753421+0.019069
## [113] train-mlogloss:0.034217+0.000364 test-mlogloss:0.754386+0.019112
## [114] train-mlogloss:0.033948+0.000352 test-mlogloss:0.755472+0.018897
## [115] train-mlogloss:0.033673+0.000331 test-mlogloss:0.756327+0.018853
## [116] train-mlogloss:0.033406+0.000326 test-mlogloss:0.757507+0.018700
## [117] train-mlogloss:0.033156+0.000308 test-mlogloss:0.758528+0.018550
## [118] train-mlogloss:0.032909+0.000290 test-mlogloss:0.759717+0.018385
## [119] train-mlogloss:0.032669+0.000297 test-mlogloss:0.760268+0.018528
## [120] train-mlogloss:0.032415+0.000285 test-mlogloss:0.761368+0.018846
## [121] train-mlogloss:0.032172+0.000277 test-mlogloss:0.762454+0.019157
## [122] train-mlogloss:0.031936+0.000268 test-mlogloss:0.763425+0.019162
## [123] train-mlogloss:0.031702+0.000267 test-mlogloss:0.764442+0.018964
## [124] train-mlogloss:0.031459+0.000259 test-mlogloss:0.764710+0.019231
## [125] train-mlogloss:0.031237+0.000270 test-mlogloss:0.765938+0.019150
## [126] train-mlogloss:0.031005+0.000274 test-mlogloss:0.767043+0.019699
## [127] train-mlogloss:0.030792+0.000276 test-mlogloss:0.768052+0.019448
## [128] train-mlogloss:0.030593+0.000270 test-mlogloss:0.768378+0.019391
## [129] train-mlogloss:0.030375+0.000262 test-mlogloss:0.769758+0.019535
## [130] train-mlogloss:0.030167+0.000253 test-mlogloss:0.770586+0.019877
## [131] train-mlogloss:0.029959+0.000241 test-mlogloss:0.771609+0.020344
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## [139] train-mlogloss:0.028418+0.000240 test-mlogloss:0.778938+0.020577
## [140] train-mlogloss:0.028243+0.000234 test-mlogloss:0.779572+0.020664
## [141] train-mlogloss:0.028069+0.000225 test-mlogloss:0.780304+0.020370
## [142] train-mlogloss:0.027898+0.000233 test-mlogloss:0.780996+0.020474
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## [145] train-mlogloss:0.027386+0.000243 test-mlogloss:0.783349+0.020264
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## [154] train-mlogloss:0.026029+0.000227 test-mlogloss:0.790904+0.020931
## [155] train-mlogloss:0.025889+0.000221 test-mlogloss:0.791789+0.020911
## [156] train-mlogloss:0.025745+0.000219 test-mlogloss:0.792512+0.021243
## [157] train-mlogloss:0.025616+0.000221 test-mlogloss:0.792911+0.020941
## [158] train-mlogloss:0.025479+0.000222 test-mlogloss:0.793362+0.021170
## [159] train-mlogloss:0.025339+0.000226 test-mlogloss:0.793605+0.021360
## [160] train-mlogloss:0.025205+0.000227 test-mlogloss:0.793712+0.021440
## [161] train-mlogloss:0.025066+0.000220 test-mlogloss:0.794386+0.021166
## [162] train-mlogloss:0.024941+0.000213 test-mlogloss:0.795179+0.021611
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## [164] train-mlogloss:0.024696+0.000212 test-mlogloss:0.796433+0.022042
## [165] train-mlogloss:0.024571+0.000200 test-mlogloss:0.797012+0.022174
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## [167] train-mlogloss:0.024323+0.000203 test-mlogloss:0.798268+0.022040
## [168] train-mlogloss:0.024204+0.000198 test-mlogloss:0.799127+0.021925
## [169] train-mlogloss:0.024086+0.000194 test-mlogloss:0.799704+0.022154
## [170] train-mlogloss:0.023963+0.000189 test-mlogloss:0.800329+0.021599
## [171] train-mlogloss:0.023846+0.000192 test-mlogloss:0.800978+0.021516
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## [176] train-mlogloss:0.023290+0.000190 test-mlogloss:0.804586+0.021708
## [177] train-mlogloss:0.023179+0.000181 test-mlogloss:0.805026+0.021746
## [178] train-mlogloss:0.023071+0.000192 test-mlogloss:0.806070+0.021298
## [179] train-mlogloss:0.022964+0.000184 test-mlogloss:0.806684+0.021404
## [180] train-mlogloss:0.022859+0.000187 test-mlogloss:0.807291+0.021643
## [181] train-mlogloss:0.022755+0.000187 test-mlogloss:0.807735+0.021633
## [182] train-mlogloss:0.022659+0.000190 test-mlogloss:0.808506+0.021837
## [183] train-mlogloss:0.022558+0.000193 test-mlogloss:0.809279+0.021707
## [184] train-mlogloss:0.022454+0.000197 test-mlogloss:0.810086+0.021775
## [185] train-mlogloss:0.022352+0.000190 test-mlogloss:0.810967+0.021664
## [186] train-mlogloss:0.022254+0.000184 test-mlogloss:0.811282+0.021938
## [187] train-mlogloss:0.022153+0.000180 test-mlogloss:0.812249+0.021921
## [188] train-mlogloss:0.022057+0.000178 test-mlogloss:0.812647+0.021810
## [189] train-mlogloss:0.021966+0.000177 test-mlogloss:0.813372+0.021646
## [190] train-mlogloss:0.021874+0.000174 test-mlogloss:0.813854+0.021846
## [191] train-mlogloss:0.021794+0.000173 test-mlogloss:0.814070+0.021905
## [192] train-mlogloss:0.021697+0.000166 test-mlogloss:0.814764+0.021972
## [193] train-mlogloss:0.021604+0.000165 test-mlogloss:0.815365+0.022007
## [194] train-mlogloss:0.021512+0.000164 test-mlogloss:0.816237+0.022290
## [195] train-mlogloss:0.021420+0.000170 test-mlogloss:0.816854+0.022063
## [196] train-mlogloss:0.021327+0.000171 test-mlogloss:0.817401+0.021927
## [197] train-mlogloss:0.021241+0.000174 test-mlogloss:0.817941+0.021884
## [198] train-mlogloss:0.021152+0.000168 test-mlogloss:0.818577+0.021696
## [199] train-mlogloss:0.021069+0.000164 test-mlogloss:0.819669+0.021730
## [200] train-mlogloss:0.020984+0.000159 test-mlogloss:0.820151+0.021814
## [201] train-mlogloss:0.020895+0.000159 test-mlogloss:0.820999+0.021956
## [202] train-mlogloss:0.020819+0.000156 test-mlogloss:0.821460+0.021794
## [203] train-mlogloss:0.020740+0.000157 test-mlogloss:0.821943+0.022005
## [204] train-mlogloss:0.020656+0.000159 test-mlogloss:0.822573+0.021863
## [205] train-mlogloss:0.020577+0.000160 test-mlogloss:0.823324+0.021820
## [206] train-mlogloss:0.020492+0.000158 test-mlogloss:0.823739+0.021607
## [207] train-mlogloss:0.020410+0.000158 test-mlogloss:0.824351+0.021359
## [208] train-mlogloss:0.020329+0.000156 test-mlogloss:0.824818+0.021858
## [209] train-mlogloss:0.020248+0.000160 test-mlogloss:0.825600+0.021793
## [210] train-mlogloss:0.020172+0.000158 test-mlogloss:0.826412+0.022103
## [211] train-mlogloss:0.020099+0.000155 test-mlogloss:0.826822+0.022243
## [212] train-mlogloss:0.020022+0.000152 test-mlogloss:0.827376+0.022424
## [213] train-mlogloss:0.019948+0.000156 test-mlogloss:0.828144+0.022404
## [214] train-mlogloss:0.019874+0.000156 test-mlogloss:0.828635+0.022321
## [215] train-mlogloss:0.019802+0.000154 test-mlogloss:0.829538+0.021976
## [216] train-mlogloss:0.019732+0.000154 test-mlogloss:0.830272+0.021856
## [217] train-mlogloss:0.019656+0.000153 test-mlogloss:0.831015+0.022169
## [218] train-mlogloss:0.019586+0.000149 test-mlogloss:0.831462+0.022479
## [219] train-mlogloss:0.019512+0.000150 test-mlogloss:0.831938+0.022788
## [220] train-mlogloss:0.019445+0.000146 test-mlogloss:0.832672+0.022498
## [221] train-mlogloss:0.019376+0.000146 test-mlogloss:0.833162+0.022521
## [222] train-mlogloss:0.019306+0.000149 test-mlogloss:0.833588+0.022606
## [223] train-mlogloss:0.019234+0.000146 test-mlogloss:0.834157+0.022898
## [224] train-mlogloss:0.019170+0.000146 test-mlogloss:0.834759+0.022986
## [225] train-mlogloss:0.019105+0.000144 test-mlogloss:0.835234+0.023016
## [226] train-mlogloss:0.019042+0.000148 test-mlogloss:0.835844+0.023161
## [227] train-mlogloss:0.018974+0.000143 test-mlogloss:0.836265+0.023612
## [228] train-mlogloss:0.018909+0.000140 test-mlogloss:0.836391+0.023550
## [229] train-mlogloss:0.018849+0.000141 test-mlogloss:0.836868+0.023371
## [230] train-mlogloss:0.018781+0.000139 test-mlogloss:0.837336+0.023580
## [231] train-mlogloss:0.018714+0.000139 test-mlogloss:0.838032+0.023369
## [232] train-mlogloss:0.018648+0.000139 test-mlogloss:0.838647+0.023236
## [233] train-mlogloss:0.018584+0.000139 test-mlogloss:0.838816+0.023474
## [234] train-mlogloss:0.018523+0.000141 test-mlogloss:0.839155+0.023439
## [235] train-mlogloss:0.018460+0.000134 test-mlogloss:0.840021+0.023626
## [236] train-mlogloss:0.018394+0.000127 test-mlogloss:0.840241+0.023396
## [237] train-mlogloss:0.018329+0.000128 test-mlogloss:0.840687+0.023545
## [238] train-mlogloss:0.018270+0.000123 test-mlogloss:0.841328+0.023243
## [239] train-mlogloss:0.018208+0.000127 test-mlogloss:0.841874+0.023121
## [240] train-mlogloss:0.018147+0.000125 test-mlogloss:0.842527+0.023012
## [241] train-mlogloss:0.018087+0.000120 test-mlogloss:0.842736+0.023267
## [242] train-mlogloss:0.018033+0.000123 test-mlogloss:0.843286+0.022932
## [243] train-mlogloss:0.017978+0.000124 test-mlogloss:0.844035+0.022797
## [244] train-mlogloss:0.017922+0.000121 test-mlogloss:0.844655+0.022777
## [245] train-mlogloss:0.017869+0.000125 test-mlogloss:0.845132+0.022407
## [246] train-mlogloss:0.017813+0.000126 test-mlogloss:0.845435+0.022257
## [247] train-mlogloss:0.017759+0.000122 test-mlogloss:0.845781+0.022591
## [248] train-mlogloss:0.017700+0.000121 test-mlogloss:0.846522+0.022498
## [249] train-mlogloss:0.017647+0.000121 test-mlogloss:0.847117+0.022231
## [250] train-mlogloss:0.017592+0.000125 test-mlogloss:0.847383+0.022168
## [251] train-mlogloss:0.017537+0.000121 test-mlogloss:0.847955+0.022090
## [252] train-mlogloss:0.017491+0.000118 test-mlogloss:0.848049+0.022240
## [253] train-mlogloss:0.017436+0.000116 test-mlogloss:0.848386+0.022288
## [254] train-mlogloss:0.017378+0.000119 test-mlogloss:0.848814+0.022712
## [255] train-mlogloss:0.017324+0.000120 test-mlogloss:0.849476+0.022733
## [256] train-mlogloss:0.017267+0.000118 test-mlogloss:0.850059+0.022698
## [257] train-mlogloss:0.017219+0.000115 test-mlogloss:0.850430+0.022515
## [258] train-mlogloss:0.017166+0.000113 test-mlogloss:0.850756+0.022223
## [259] train-mlogloss:0.017116+0.000116 test-mlogloss:0.851166+0.022012
## [260] train-mlogloss:0.017066+0.000115 test-mlogloss:0.852124+0.021835
## [261] train-mlogloss:0.017014+0.000116 test-mlogloss:0.852668+0.021792
## [262] train-mlogloss:0.016961+0.000116 test-mlogloss:0.853032+0.021988
## [263] train-mlogloss:0.016910+0.000117 test-mlogloss:0.853450+0.021990
## [264] train-mlogloss:0.016864+0.000114 test-mlogloss:0.853827+0.022027
## [265] train-mlogloss:0.016810+0.000111 test-mlogloss:0.854436+0.021869
## [266] train-mlogloss:0.016763+0.000112 test-mlogloss:0.854721+0.021870
## [267] train-mlogloss:0.016716+0.000113 test-mlogloss:0.855225+0.021978
## [268] train-mlogloss:0.016668+0.000115 test-mlogloss:0.855840+0.021968
## [269] train-mlogloss:0.016622+0.000115 test-mlogloss:0.856287+0.022270
## [270] train-mlogloss:0.016578+0.000114 test-mlogloss:0.856301+0.022460
## [271] train-mlogloss:0.016533+0.000115 test-mlogloss:0.856478+0.022476
## [272] train-mlogloss:0.016485+0.000115 test-mlogloss:0.857099+0.022646
## [273] train-mlogloss:0.016434+0.000120 test-mlogloss:0.857514+0.022495
## [274] train-mlogloss:0.016387+0.000120 test-mlogloss:0.858163+0.022716
## [275] train-mlogloss:0.016341+0.000119 test-mlogloss:0.858755+0.022604
## [276] train-mlogloss:0.016295+0.000118 test-mlogloss:0.859226+0.022596
## [277] train-mlogloss:0.016253+0.000119 test-mlogloss:0.859643+0.022847
## [278] train-mlogloss:0.016211+0.000120 test-mlogloss:0.859940+0.022943
## [279] train-mlogloss:0.016167+0.000119 test-mlogloss:0.860330+0.023073
## [280] train-mlogloss:0.016121+0.000119 test-mlogloss:0.860738+0.022778
## [281] train-mlogloss:0.016076+0.000119 test-mlogloss:0.861049+0.022843
## [282] train-mlogloss:0.016033+0.000121 test-mlogloss:0.861766+0.023174
## [283] train-mlogloss:0.015991+0.000122 test-mlogloss:0.862138+0.023129
## [284] train-mlogloss:0.015950+0.000119 test-mlogloss:0.862699+0.023176
## [285] train-mlogloss:0.015907+0.000123 test-mlogloss:0.863130+0.023200
## [286] train-mlogloss:0.015866+0.000123 test-mlogloss:0.863169+0.023421
## [287] train-mlogloss:0.015823+0.000117 test-mlogloss:0.863396+0.023188
## [288] train-mlogloss:0.015785+0.000118 test-mlogloss:0.863824+0.023218
## [289] train-mlogloss:0.015744+0.000121 test-mlogloss:0.864244+0.023293
## [290] train-mlogloss:0.015707+0.000124 test-mlogloss:0.864394+0.023407
## [291] train-mlogloss:0.015662+0.000124 test-mlogloss:0.864843+0.023485
## [292] train-mlogloss:0.015621+0.000126 test-mlogloss:0.865348+0.023364
## [293] train-mlogloss:0.015586+0.000127 test-mlogloss:0.865700+0.023106
## [294] train-mlogloss:0.015544+0.000127 test-mlogloss:0.866301+0.022995
## [295] train-mlogloss:0.015504+0.000125 test-mlogloss:0.866807+0.022927
## [296] train-mlogloss:0.015464+0.000122 test-mlogloss:0.867121+0.023064
## [297] train-mlogloss:0.015427+0.000123 test-mlogloss:0.867517+0.022858
## [298] train-mlogloss:0.015391+0.000126 test-mlogloss:0.867787+0.022974
## [299] train-mlogloss:0.015355+0.000124 test-mlogloss:0.868106+0.023004
## [300] train-mlogloss:0.015314+0.000125 test-mlogloss:0.868510+0.023007
## [301] train-mlogloss:0.015276+0.000122 test-mlogloss:0.868942+0.023314
## [302] train-mlogloss:0.015238+0.000120 test-mlogloss:0.869389+0.023394
## [303] train-mlogloss:0.015201+0.000120 test-mlogloss:0.869718+0.023438
## [304] train-mlogloss:0.015165+0.000119 test-mlogloss:0.870079+0.023521
## [305] train-mlogloss:0.015128+0.000121 test-mlogloss:0.870386+0.023522
## [306] train-mlogloss:0.015091+0.000120 test-mlogloss:0.870700+0.023845
## [307] train-mlogloss:0.015054+0.000121 test-mlogloss:0.871209+0.023736
## [308] train-mlogloss:0.015020+0.000121 test-mlogloss:0.871540+0.023896
## [309] train-mlogloss:0.014985+0.000121 test-mlogloss:0.871979+0.023832
## [310] train-mlogloss:0.014951+0.000120 test-mlogloss:0.872369+0.023866
## [311] train-mlogloss:0.014916+0.000120 test-mlogloss:0.872733+0.023719
## [312] train-mlogloss:0.014881+0.000122 test-mlogloss:0.873059+0.023883
## [313] train-mlogloss:0.014844+0.000122 test-mlogloss:0.873704+0.023955
## [314] train-mlogloss:0.014810+0.000121 test-mlogloss:0.874219+0.023827
## [315] train-mlogloss:0.014776+0.000124 test-mlogloss:0.874487+0.023862
## [316] train-mlogloss:0.014743+0.000123 test-mlogloss:0.874734+0.023828
## [317] train-mlogloss:0.014708+0.000124 test-mlogloss:0.874867+0.023792
## [318] train-mlogloss:0.014674+0.000125 test-mlogloss:0.875172+0.023997
## [319] train-mlogloss:0.014641+0.000121 test-mlogloss:0.875686+0.023795
## [320] train-mlogloss:0.014609+0.000119 test-mlogloss:0.876019+0.023720
## [321] train-mlogloss:0.014576+0.000118 test-mlogloss:0.876388+0.023520
## [322] train-mlogloss:0.014544+0.000118 test-mlogloss:0.876572+0.023541
## [323] train-mlogloss:0.014512+0.000117 test-mlogloss:0.876883+0.023514
## [324] train-mlogloss:0.014482+0.000116 test-mlogloss:0.877182+0.023370
## [325] train-mlogloss:0.014449+0.000116 test-mlogloss:0.877543+0.023437
## [326] train-mlogloss:0.014418+0.000116 test-mlogloss:0.877696+0.023450
## [327] train-mlogloss:0.014387+0.000117 test-mlogloss:0.877813+0.023512
## [328] train-mlogloss:0.014356+0.000116 test-mlogloss:0.878420+0.023724
## [329] train-mlogloss:0.014324+0.000117 test-mlogloss:0.878731+0.023827
## [330] train-mlogloss:0.014292+0.000117 test-mlogloss:0.879061+0.023981
## [331] train-mlogloss:0.014260+0.000117 test-mlogloss:0.879418+0.024038
## [332] train-mlogloss:0.014227+0.000116 test-mlogloss:0.880049+0.024041
## [333] train-mlogloss:0.014192+0.000118 test-mlogloss:0.880398+0.023962
## [334] train-mlogloss:0.014159+0.000118 test-mlogloss:0.880979+0.023849
## [335] train-mlogloss:0.014128+0.000116 test-mlogloss:0.881388+0.023972
## [336] train-mlogloss:0.014098+0.000115 test-mlogloss:0.881901+0.024023
## [337] train-mlogloss:0.014070+0.000115 test-mlogloss:0.882318+0.024006
## [338] train-mlogloss:0.014038+0.000117 test-mlogloss:0.882568+0.024174
## [339] train-mlogloss:0.014010+0.000114 test-mlogloss:0.883015+0.024236
## [340] train-mlogloss:0.013982+0.000114 test-mlogloss:0.883103+0.024167
## [341] train-mlogloss:0.013951+0.000115 test-mlogloss:0.883438+0.023870
## [342] train-mlogloss:0.013922+0.000115 test-mlogloss:0.883484+0.023563
## [343] train-mlogloss:0.013893+0.000113 test-mlogloss:0.883708+0.023709
## [344] train-mlogloss:0.013866+0.000110 test-mlogloss:0.883973+0.023571
## [345] train-mlogloss:0.013839+0.000111 test-mlogloss:0.884284+0.023511
## [346] train-mlogloss:0.013811+0.000109 test-mlogloss:0.884688+0.023431
## [347] train-mlogloss:0.013780+0.000108 test-mlogloss:0.884897+0.023431
## [348] train-mlogloss:0.013750+0.000110 test-mlogloss:0.885420+0.023553
## [349] train-mlogloss:0.013724+0.000111 test-mlogloss:0.885639+0.023598
## [350] train-mlogloss:0.013696+0.000111 test-mlogloss:0.886214+0.023501
## [351] train-mlogloss:0.013668+0.000113 test-mlogloss:0.886478+0.023488
## [352] train-mlogloss:0.013641+0.000115 test-mlogloss:0.886645+0.023390
## [353] train-mlogloss:0.013612+0.000113 test-mlogloss:0.887061+0.023375
## [354] train-mlogloss:0.013584+0.000110 test-mlogloss:0.887261+0.023176
## [355] train-mlogloss:0.013559+0.000110 test-mlogloss:0.887600+0.023521
## [356] train-mlogloss:0.013533+0.000109 test-mlogloss:0.888076+0.023678
## [357] train-mlogloss:0.013505+0.000108 test-mlogloss:0.888237+0.023981
## [358] train-mlogloss:0.013477+0.000109 test-mlogloss:0.888229+0.023878
## [359] train-mlogloss:0.013452+0.000107 test-mlogloss:0.888626+0.023876
## [360] train-mlogloss:0.013425+0.000106 test-mlogloss:0.888991+0.023778
## [361] train-mlogloss:0.013399+0.000105 test-mlogloss:0.889458+0.023739
## [362] train-mlogloss:0.013375+0.000105 test-mlogloss:0.889737+0.023498
## [363] train-mlogloss:0.013348+0.000106 test-mlogloss:0.889933+0.023796
## [364] train-mlogloss:0.013322+0.000106 test-mlogloss:0.890152+0.023824
## [365] train-mlogloss:0.013295+0.000103 test-mlogloss:0.890249+0.023683
## [366] train-mlogloss:0.013270+0.000104 test-mlogloss:0.890390+0.023701
## [367] train-mlogloss:0.013247+0.000104 test-mlogloss:0.890592+0.023882
## [368] train-mlogloss:0.013221+0.000104 test-mlogloss:0.890894+0.023919
## [369] train-mlogloss:0.013196+0.000101 test-mlogloss:0.891113+0.023862
## [370] train-mlogloss:0.013169+0.000099 test-mlogloss:0.891228+0.023521
## [371] train-mlogloss:0.013143+0.000099 test-mlogloss:0.891568+0.023198
## [372] train-mlogloss:0.013118+0.000098 test-mlogloss:0.891764+0.023333
## [373] train-mlogloss:0.013094+0.000100 test-mlogloss:0.891941+0.023453
## [374] train-mlogloss:0.013069+0.000096 test-mlogloss:0.892538+0.023330
## [375] train-mlogloss:0.013045+0.000094 test-mlogloss:0.892850+0.023418
## [376] train-mlogloss:0.013020+0.000093 test-mlogloss:0.893097+0.023336
## [377] train-mlogloss:0.012995+0.000094 test-mlogloss:0.893369+0.023363
## [378] train-mlogloss:0.012972+0.000094 test-mlogloss:0.893674+0.023261
## [379] train-mlogloss:0.012950+0.000094 test-mlogloss:0.893654+0.023362
## [380] train-mlogloss:0.012925+0.000095 test-mlogloss:0.894222+0.023172
## [381] train-mlogloss:0.012903+0.000096 test-mlogloss:0.894416+0.022971
## [382] train-mlogloss:0.012881+0.000094 test-mlogloss:0.894811+0.022910
## [383] train-mlogloss:0.012857+0.000095 test-mlogloss:0.895342+0.022872
## [384] train-mlogloss:0.012831+0.000095 test-mlogloss:0.895752+0.023026
## [385] train-mlogloss:0.012808+0.000094 test-mlogloss:0.895915+0.023394
## [386] train-mlogloss:0.012784+0.000093 test-mlogloss:0.896400+0.023266
## [387] train-mlogloss:0.012763+0.000097 test-mlogloss:0.896719+0.023233
## [388] train-mlogloss:0.012740+0.000098 test-mlogloss:0.896637+0.023122
## [389] train-mlogloss:0.012717+0.000097 test-mlogloss:0.896743+0.023074
## [390] train-mlogloss:0.012693+0.000096 test-mlogloss:0.897294+0.023244
## [391] train-mlogloss:0.012670+0.000097 test-mlogloss:0.897708+0.023106
## [392] train-mlogloss:0.012647+0.000094 test-mlogloss:0.897873+0.023084
## [393] train-mlogloss:0.012626+0.000094 test-mlogloss:0.898365+0.023071
## [394] train-mlogloss:0.012604+0.000094 test-mlogloss:0.898564+0.023119
## [395] train-mlogloss:0.012579+0.000094 test-mlogloss:0.898955+0.023261
## [396] train-mlogloss:0.012559+0.000094 test-mlogloss:0.899338+0.023287
## [397] train-mlogloss:0.012537+0.000095 test-mlogloss:0.899735+0.023341
## [398] train-mlogloss:0.012517+0.000093 test-mlogloss:0.900110+0.023431
## [399] train-mlogloss:0.012493+0.000092 test-mlogloss:0.900316+0.023365
## [400] train-mlogloss:0.012470+0.000093 test-mlogloss:0.900490+0.023585
## [401] train-mlogloss:0.012449+0.000094 test-mlogloss:0.900774+0.023639
## [402] train-mlogloss:0.012428+0.000094 test-mlogloss:0.900922+0.023554
## [403] train-mlogloss:0.012405+0.000094 test-mlogloss:0.901168+0.023492
## [404] train-mlogloss:0.012382+0.000094 test-mlogloss:0.901442+0.023474
## [405] train-mlogloss:0.012363+0.000093 test-mlogloss:0.902025+0.023590
## [406] train-mlogloss:0.012341+0.000095 test-mlogloss:0.902500+0.023730
## [407] train-mlogloss:0.012319+0.000093 test-mlogloss:0.902946+0.023308
## [408] train-mlogloss:0.012299+0.000092 test-mlogloss:0.903095+0.023358
## [409] train-mlogloss:0.012278+0.000094 test-mlogloss:0.903407+0.023542
## [410] train-mlogloss:0.012257+0.000094 test-mlogloss:0.903774+0.023429
## [411] train-mlogloss:0.012235+0.000093 test-mlogloss:0.904253+0.023473
## [412] train-mlogloss:0.012217+0.000093 test-mlogloss:0.904386+0.023367
## [413] train-mlogloss:0.012196+0.000093 test-mlogloss:0.904635+0.023484
## [414] train-mlogloss:0.012174+0.000093 test-mlogloss:0.904787+0.023274
## [415] train-mlogloss:0.012154+0.000092 test-mlogloss:0.905263+0.023310
## [416] train-mlogloss:0.012134+0.000092 test-mlogloss:0.905525+0.023182
## [417] train-mlogloss:0.012116+0.000093 test-mlogloss:0.905854+0.023481
## [418] train-mlogloss:0.012097+0.000093 test-mlogloss:0.906018+0.023404
## [419] train-mlogloss:0.012078+0.000093 test-mlogloss:0.906349+0.023578
## [420] train-mlogloss:0.012059+0.000093 test-mlogloss:0.906311+0.023374
## [421] train-mlogloss:0.012038+0.000092 test-mlogloss:0.906430+0.023401
## [422] train-mlogloss:0.012018+0.000090 test-mlogloss:0.906463+0.023227
## [423] train-mlogloss:0.012000+0.000089 test-mlogloss:0.906671+0.023012
## [424] train-mlogloss:0.011980+0.000090 test-mlogloss:0.907123+0.023091
## [425] train-mlogloss:0.011963+0.000089 test-mlogloss:0.907708+0.023133
## [426] train-mlogloss:0.011943+0.000089 test-mlogloss:0.908051+0.023384
## [427] train-mlogloss:0.011925+0.000089 test-mlogloss:0.908112+0.023319
## [428] train-mlogloss:0.011906+0.000088 test-mlogloss:0.908388+0.023362
## [429] train-mlogloss:0.011887+0.000088 test-mlogloss:0.908810+0.023261
## [430] train-mlogloss:0.011869+0.000086 test-mlogloss:0.908998+0.023173
## [431] train-mlogloss:0.011850+0.000084 test-mlogloss:0.909218+0.023270
## [432] train-mlogloss:0.011832+0.000085 test-mlogloss:0.909434+0.022962
## [433] train-mlogloss:0.011814+0.000084 test-mlogloss:0.909781+0.023222
## [434] train-mlogloss:0.011796+0.000083 test-mlogloss:0.910087+0.023249
## [435] train-mlogloss:0.011778+0.000083 test-mlogloss:0.910385+0.023169
## [436] train-mlogloss:0.011760+0.000083 test-mlogloss:0.910711+0.023320
## [437] train-mlogloss:0.011741+0.000083 test-mlogloss:0.911018+0.023402
## [438] train-mlogloss:0.011723+0.000084 test-mlogloss:0.911184+0.023263
## [439] train-mlogloss:0.011706+0.000082 test-mlogloss:0.911297+0.023426
## [440] train-mlogloss:0.011687+0.000082 test-mlogloss:0.911580+0.023541
## [441] train-mlogloss:0.011668+0.000082 test-mlogloss:0.911632+0.023477
## [442] train-mlogloss:0.011650+0.000081 test-mlogloss:0.911944+0.023576
## [443] train-mlogloss:0.011629+0.000081 test-mlogloss:0.912323+0.023687
## [444] train-mlogloss:0.011611+0.000081 test-mlogloss:0.912740+0.023832
## [445] train-mlogloss:0.011592+0.000082 test-mlogloss:0.913040+0.023972
## [446] train-mlogloss:0.011576+0.000081 test-mlogloss:0.913279+0.024006
## [447] train-mlogloss:0.011558+0.000081 test-mlogloss:0.913609+0.023900
## [448] train-mlogloss:0.011543+0.000082 test-mlogloss:0.913787+0.023769
## [449] train-mlogloss:0.011525+0.000082 test-mlogloss:0.914145+0.023891
## [450] train-mlogloss:0.011509+0.000081 test-mlogloss:0.914224+0.024014
## [451] train-mlogloss:0.011491+0.000081 test-mlogloss:0.914336+0.024342
## [452] train-mlogloss:0.011473+0.000081 test-mlogloss:0.914575+0.024260
## [453] train-mlogloss:0.011457+0.000081 test-mlogloss:0.914487+0.024161
## [454] train-mlogloss:0.011439+0.000078 test-mlogloss:0.914613+0.024392
## [455] train-mlogloss:0.011420+0.000080 test-mlogloss:0.914834+0.024419
## [456] train-mlogloss:0.011402+0.000078 test-mlogloss:0.915056+0.024438
## [457] train-mlogloss:0.011385+0.000079 test-mlogloss:0.915462+0.024515
## [458] train-mlogloss:0.011367+0.000077 test-mlogloss:0.915442+0.024701
## [459] train-mlogloss:0.011348+0.000078 test-mlogloss:0.915501+0.024790
## [460] train-mlogloss:0.011331+0.000077 test-mlogloss:0.915752+0.024631
## [461] train-mlogloss:0.011315+0.000077 test-mlogloss:0.916208+0.024317
## [462] train-mlogloss:0.011299+0.000077 test-mlogloss:0.916375+0.024120
## [463] train-mlogloss:0.011283+0.000077 test-mlogloss:0.916804+0.023952
## [464] train-mlogloss:0.011268+0.000078 test-mlogloss:0.916760+0.023890
## [465] train-mlogloss:0.011253+0.000077 test-mlogloss:0.916804+0.023984
## [466] train-mlogloss:0.011235+0.000077 test-mlogloss:0.917367+0.024226
## [467] train-mlogloss:0.011218+0.000077 test-mlogloss:0.917723+0.024461
## [468] train-mlogloss:0.011201+0.000077 test-mlogloss:0.917809+0.024299
## [469] train-mlogloss:0.011185+0.000077 test-mlogloss:0.917975+0.024368
## [470] train-mlogloss:0.011168+0.000078 test-mlogloss:0.918233+0.024623
## [471] train-mlogloss:0.011152+0.000079 test-mlogloss:0.918774+0.024997
## [472] train-mlogloss:0.011135+0.000079 test-mlogloss:0.919069+0.025068
## [473] train-mlogloss:0.011121+0.000079 test-mlogloss:0.919540+0.025124
## [474] train-mlogloss:0.011105+0.000080 test-mlogloss:0.919896+0.024972
## [475] train-mlogloss:0.011089+0.000081 test-mlogloss:0.920226+0.024933
## [476] train-mlogloss:0.011074+0.000082 test-mlogloss:0.920101+0.024789
## [477] train-mlogloss:0.011058+0.000083 test-mlogloss:0.920395+0.024645
## [478] train-mlogloss:0.011044+0.000083 test-mlogloss:0.920556+0.024850
## [479] train-mlogloss:0.011030+0.000082 test-mlogloss:0.920879+0.024866
## [480] train-mlogloss:0.011013+0.000081 test-mlogloss:0.921006+0.024993
## [481] train-mlogloss:0.010998+0.000081 test-mlogloss:0.921240+0.024908
## [482] train-mlogloss:0.010982+0.000080 test-mlogloss:0.921441+0.024855
## [483] train-mlogloss:0.010965+0.000080 test-mlogloss:0.921613+0.024702
## [484] train-mlogloss:0.010951+0.000080 test-mlogloss:0.921786+0.024576
## [485] train-mlogloss:0.010935+0.000080 test-mlogloss:0.921914+0.024567
## [486] train-mlogloss:0.010919+0.000080 test-mlogloss:0.921835+0.024640
## [487] train-mlogloss:0.010904+0.000079 test-mlogloss:0.921952+0.024606
## [488] train-mlogloss:0.010889+0.000077 test-mlogloss:0.922112+0.024789
## [489] train-mlogloss:0.010874+0.000077 test-mlogloss:0.922367+0.024779
## [490] train-mlogloss:0.010860+0.000076 test-mlogloss:0.922934+0.024727
## [491] train-mlogloss:0.010845+0.000075 test-mlogloss:0.923224+0.024677
## [492] train-mlogloss:0.010830+0.000074 test-mlogloss:0.923586+0.024808
## [493] train-mlogloss:0.010816+0.000074 test-mlogloss:0.923743+0.024643
## [494] train-mlogloss:0.010799+0.000073 test-mlogloss:0.924182+0.024740
## [495] train-mlogloss:0.010784+0.000073 test-mlogloss:0.924629+0.024835
## [496] train-mlogloss:0.010768+0.000073 test-mlogloss:0.924780+0.024892
## [497] train-mlogloss:0.010753+0.000073 test-mlogloss:0.925003+0.025075
## [498] train-mlogloss:0.010740+0.000073 test-mlogloss:0.925371+0.025283
## [499] train-mlogloss:0.010726+0.000072 test-mlogloss:0.925450+0.025424
## [500] train-mlogloss:0.010711+0.000071 test-mlogloss:0.925666+0.025374
## [1] train-mlogloss:0.537629+0.001325 test-mlogloss:0.556141+0.002744
## [2] train-mlogloss:0.507639+0.001720 test-mlogloss:0.541247+0.005085
## [3] train-mlogloss:0.494123+0.002795 test-mlogloss:0.541599+0.006586
## [4] train-mlogloss:0.486714+0.002382 test-mlogloss:0.542402+0.007856
## [5] train-mlogloss:0.477648+0.002729 test-mlogloss:0.546417+0.007594
## [6] train-mlogloss:0.470808+0.003181 test-mlogloss:0.550398+0.008624
## [7] train-mlogloss:0.463556+0.003826 test-mlogloss:0.553241+0.008936
## [8] train-mlogloss:0.457505+0.003210 test-mlogloss:0.555380+0.009655
## [9] train-mlogloss:0.450981+0.004346 test-mlogloss:0.557632+0.008767
## [10] train-mlogloss:0.444814+0.003089 test-mlogloss:0.558556+0.010529
## [11] train-mlogloss:0.438617+0.004283 test-mlogloss:0.561609+0.009458
## [12] train-mlogloss:0.432440+0.005629 test-mlogloss:0.563468+0.010052
## [13] train-mlogloss:0.426029+0.004813 test-mlogloss:0.566905+0.009514
## [14] train-mlogloss:0.422205+0.004704 test-mlogloss:0.569346+0.011074
## [15] train-mlogloss:0.415540+0.005125 test-mlogloss:0.572098+0.011244
## [16] train-mlogloss:0.409932+0.004782 test-mlogloss:0.573374+0.010931
## [17] train-mlogloss:0.402594+0.005686 test-mlogloss:0.574840+0.010844
## [18] train-mlogloss:0.396893+0.002943 test-mlogloss:0.575585+0.011744
## [19] train-mlogloss:0.392588+0.002778 test-mlogloss:0.576815+0.012457
## [20] train-mlogloss:0.387423+0.003147 test-mlogloss:0.579131+0.012560
## [21] train-mlogloss:0.382522+0.002863 test-mlogloss:0.582900+0.013960
## [22] train-mlogloss:0.378489+0.003732 test-mlogloss:0.587436+0.014960
## [23] train-mlogloss:0.372229+0.004082 test-mlogloss:0.590635+0.016477
## [24] train-mlogloss:0.366809+0.003497 test-mlogloss:0.594071+0.016523
## [25] train-mlogloss:0.361349+0.003334 test-mlogloss:0.596283+0.016143
## [26] train-mlogloss:0.355769+0.003383 test-mlogloss:0.599032+0.015972
## [27] train-mlogloss:0.350425+0.002871 test-mlogloss:0.600822+0.016725
## [28] train-mlogloss:0.346113+0.003261 test-mlogloss:0.603503+0.017056
## [29] train-mlogloss:0.340555+0.003264 test-mlogloss:0.604686+0.015215
## [30] train-mlogloss:0.336074+0.002717 test-mlogloss:0.606453+0.015188
## [31] train-mlogloss:0.330753+0.003620 test-mlogloss:0.610027+0.014864
## [32] train-mlogloss:0.326475+0.003715 test-mlogloss:0.613177+0.016272
## [33] train-mlogloss:0.321704+0.003413 test-mlogloss:0.615972+0.014955
## [34] train-mlogloss:0.317772+0.004283 test-mlogloss:0.617748+0.014995
## [35] train-mlogloss:0.314239+0.003973 test-mlogloss:0.619825+0.015487
## [36] train-mlogloss:0.310651+0.004768 test-mlogloss:0.621706+0.015389
## [37] train-mlogloss:0.306012+0.005350 test-mlogloss:0.625450+0.015123
## [38] train-mlogloss:0.301225+0.004866 test-mlogloss:0.628961+0.014860
## [39] train-mlogloss:0.297680+0.004676 test-mlogloss:0.629947+0.014264
## [40] train-mlogloss:0.294832+0.005014 test-mlogloss:0.631944+0.014649
## [41] train-mlogloss:0.291005+0.004636 test-mlogloss:0.633265+0.014059
## [42] train-mlogloss:0.287162+0.004384 test-mlogloss:0.635616+0.015605
## [43] train-mlogloss:0.283835+0.004234 test-mlogloss:0.637550+0.014395
## [44] train-mlogloss:0.279525+0.003696 test-mlogloss:0.639977+0.013247
## [45] train-mlogloss:0.275920+0.004878 test-mlogloss:0.642108+0.014213
## [46] train-mlogloss:0.272148+0.004732 test-mlogloss:0.643369+0.014060
## [47] train-mlogloss:0.269209+0.004102 test-mlogloss:0.644730+0.014500
## [48] train-mlogloss:0.266598+0.004249 test-mlogloss:0.645884+0.015037
## [49] train-mlogloss:0.262938+0.004496 test-mlogloss:0.647868+0.016185
## [50] train-mlogloss:0.259915+0.004357 test-mlogloss:0.651401+0.015317
## [51] train-mlogloss:0.256929+0.004093 test-mlogloss:0.652859+0.016173
## [52] train-mlogloss:0.254340+0.003633 test-mlogloss:0.653411+0.017185
## [53] train-mlogloss:0.251117+0.003100 test-mlogloss:0.654515+0.016061
## [54] train-mlogloss:0.247927+0.002503 test-mlogloss:0.655916+0.015109
## [55] train-mlogloss:0.245166+0.002087 test-mlogloss:0.656912+0.015684
## [56] train-mlogloss:0.241793+0.002381 test-mlogloss:0.658809+0.015651
## [57] train-mlogloss:0.238797+0.002245 test-mlogloss:0.660974+0.016834
## [58] train-mlogloss:0.235504+0.002537 test-mlogloss:0.662445+0.017083
## [59] train-mlogloss:0.232339+0.002535 test-mlogloss:0.664368+0.017262
## [60] train-mlogloss:0.229415+0.002676 test-mlogloss:0.665335+0.017606
## [61] train-mlogloss:0.226870+0.002242 test-mlogloss:0.666992+0.016205
## [62] train-mlogloss:0.224044+0.002483 test-mlogloss:0.671271+0.014134
## [63] train-mlogloss:0.221587+0.002767 test-mlogloss:0.672927+0.013583
## [64] train-mlogloss:0.218443+0.002784 test-mlogloss:0.673931+0.014013
## [65] train-mlogloss:0.215850+0.002714 test-mlogloss:0.675669+0.013672
## [66] train-mlogloss:0.212908+0.002440 test-mlogloss:0.677075+0.013181
## [67] train-mlogloss:0.210655+0.002628 test-mlogloss:0.677728+0.013037
## [68] train-mlogloss:0.208352+0.002441 test-mlogloss:0.679881+0.014366
## [69] train-mlogloss:0.205531+0.002220 test-mlogloss:0.680991+0.014379
## [70] train-mlogloss:0.203144+0.002161 test-mlogloss:0.682191+0.013615
## [71] train-mlogloss:0.201046+0.002027 test-mlogloss:0.683884+0.014325
## [72] train-mlogloss:0.198907+0.002128 test-mlogloss:0.685164+0.015829
## [73] train-mlogloss:0.196455+0.003018 test-mlogloss:0.687506+0.016349
## [74] train-mlogloss:0.194280+0.003801 test-mlogloss:0.689484+0.017307
## [75] train-mlogloss:0.192102+0.004033 test-mlogloss:0.691333+0.017939
## [76] train-mlogloss:0.190132+0.003675 test-mlogloss:0.692398+0.018799
## [77] train-mlogloss:0.188762+0.004018 test-mlogloss:0.693693+0.018021
## [78] train-mlogloss:0.186971+0.003741 test-mlogloss:0.694328+0.018099
## [79] train-mlogloss:0.184688+0.003846 test-mlogloss:0.695801+0.020036
## [80] train-mlogloss:0.182083+0.003819 test-mlogloss:0.699114+0.019995
## [81] train-mlogloss:0.180022+0.003613 test-mlogloss:0.699005+0.021063
## [82] train-mlogloss:0.177612+0.003225 test-mlogloss:0.699832+0.020736
## [83] train-mlogloss:0.175229+0.002970 test-mlogloss:0.701345+0.020755
## [84] train-mlogloss:0.173392+0.002864 test-mlogloss:0.702271+0.020886
## [85] train-mlogloss:0.171297+0.002867 test-mlogloss:0.702980+0.020796
## [86] train-mlogloss:0.168989+0.002757 test-mlogloss:0.704866+0.021118
## [87] train-mlogloss:0.167089+0.002958 test-mlogloss:0.706906+0.020362
## [88] train-mlogloss:0.165131+0.003052 test-mlogloss:0.708200+0.020080
## [89] train-mlogloss:0.163262+0.002852 test-mlogloss:0.710514+0.020656
## [90] train-mlogloss:0.160872+0.002793 test-mlogloss:0.712522+0.020975
## [91] train-mlogloss:0.158749+0.002762 test-mlogloss:0.713516+0.022988
## [92] train-mlogloss:0.156891+0.002594 test-mlogloss:0.714345+0.023501
## [93] train-mlogloss:0.155400+0.002654 test-mlogloss:0.716196+0.023537
## [94] train-mlogloss:0.153224+0.002538 test-mlogloss:0.717334+0.023970
## [95] train-mlogloss:0.151279+0.002231 test-mlogloss:0.719488+0.023451
## [96] train-mlogloss:0.149513+0.002434 test-mlogloss:0.721320+0.023288
## [97] train-mlogloss:0.147785+0.002439 test-mlogloss:0.723538+0.023012
## [98] train-mlogloss:0.146134+0.002142 test-mlogloss:0.725421+0.023480
## [99] train-mlogloss:0.144515+0.002607 test-mlogloss:0.727087+0.023986
## [100] train-mlogloss:0.142790+0.003092 test-mlogloss:0.728609+0.024667
## [101] train-mlogloss:0.141124+0.003581 test-mlogloss:0.730987+0.025303
## [102] train-mlogloss:0.139569+0.003524 test-mlogloss:0.732074+0.025366
## [103] train-mlogloss:0.138344+0.003649 test-mlogloss:0.734084+0.026889
## [104] train-mlogloss:0.136809+0.003674 test-mlogloss:0.735648+0.027599
## [105] train-mlogloss:0.135158+0.004105 test-mlogloss:0.736501+0.028343
## [106] train-mlogloss:0.133941+0.003745 test-mlogloss:0.738856+0.028276
## [107] train-mlogloss:0.132289+0.003671 test-mlogloss:0.740734+0.028046
## [108] train-mlogloss:0.130777+0.003562 test-mlogloss:0.740770+0.026978
## [109] train-mlogloss:0.129308+0.003515 test-mlogloss:0.742456+0.026223
## [110] train-mlogloss:0.127983+0.003467 test-mlogloss:0.744904+0.027324
## [111] train-mlogloss:0.126698+0.003337 test-mlogloss:0.746420+0.027511
## [112] train-mlogloss:0.125339+0.002878 test-mlogloss:0.747923+0.026901
## [113] train-mlogloss:0.124065+0.002917 test-mlogloss:0.749217+0.026489
## [114] train-mlogloss:0.122548+0.002819 test-mlogloss:0.752244+0.027016
## [115] train-mlogloss:0.121171+0.002753 test-mlogloss:0.753447+0.026634
## [116] train-mlogloss:0.120048+0.002914 test-mlogloss:0.756066+0.026733
## [117] train-mlogloss:0.118736+0.002827 test-mlogloss:0.757914+0.025654
## [118] train-mlogloss:0.117215+0.002575 test-mlogloss:0.758744+0.025426
## [119] train-mlogloss:0.116251+0.002432 test-mlogloss:0.758760+0.026564
## [120] train-mlogloss:0.115122+0.002533 test-mlogloss:0.759638+0.027511
## [121] train-mlogloss:0.113926+0.002613 test-mlogloss:0.761835+0.027804
## [122] train-mlogloss:0.112704+0.002581 test-mlogloss:0.763386+0.028332
## [123] train-mlogloss:0.111518+0.002580 test-mlogloss:0.764926+0.029232
## [124] train-mlogloss:0.110459+0.002781 test-mlogloss:0.767251+0.030326
## [125] train-mlogloss:0.109160+0.002834 test-mlogloss:0.768114+0.030641
## [126] train-mlogloss:0.108330+0.002935 test-mlogloss:0.768411+0.030576
## [127] train-mlogloss:0.107509+0.002686 test-mlogloss:0.769445+0.030662
## [128] train-mlogloss:0.106478+0.002523 test-mlogloss:0.771140+0.029511
## [129] train-mlogloss:0.105253+0.002295 test-mlogloss:0.771504+0.029965
## [130] train-mlogloss:0.104227+0.002369 test-mlogloss:0.772694+0.029747
## [131] train-mlogloss:0.103185+0.002432 test-mlogloss:0.774335+0.029617
## [132] train-mlogloss:0.102270+0.002449 test-mlogloss:0.775493+0.029929
## [133] train-mlogloss:0.101032+0.002631 test-mlogloss:0.777442+0.030142
## [134] train-mlogloss:0.099994+0.002461 test-mlogloss:0.779486+0.029959
## [135] train-mlogloss:0.099147+0.002456 test-mlogloss:0.781102+0.029410
## [136] train-mlogloss:0.098259+0.002600 test-mlogloss:0.781473+0.029543
## [137] train-mlogloss:0.097326+0.002676 test-mlogloss:0.782732+0.027365
## [138] train-mlogloss:0.096390+0.002779 test-mlogloss:0.784007+0.028310
## [139] train-mlogloss:0.095652+0.002710 test-mlogloss:0.785785+0.027876
## [140] train-mlogloss:0.094510+0.002835 test-mlogloss:0.786276+0.027626
## [141] train-mlogloss:0.093586+0.002662 test-mlogloss:0.787919+0.027441
## [142] train-mlogloss:0.092465+0.002511 test-mlogloss:0.789535+0.027363
## [143] train-mlogloss:0.091435+0.002404 test-mlogloss:0.790754+0.026936
## [144] train-mlogloss:0.090690+0.002512 test-mlogloss:0.792947+0.027402
## [145] train-mlogloss:0.089651+0.002538 test-mlogloss:0.793957+0.027850
## [146] train-mlogloss:0.088597+0.002438 test-mlogloss:0.795444+0.028275
## [147] train-mlogloss:0.087720+0.002208 test-mlogloss:0.795957+0.028118
## [148] train-mlogloss:0.087010+0.002089 test-mlogloss:0.797096+0.027612
## [149] train-mlogloss:0.086261+0.002005 test-mlogloss:0.798502+0.028270
## [150] train-mlogloss:0.085387+0.002030 test-mlogloss:0.799780+0.028687
## [151] train-mlogloss:0.084644+0.001869 test-mlogloss:0.801206+0.028841
## [152] train-mlogloss:0.084031+0.001791 test-mlogloss:0.802571+0.028784
## [153] train-mlogloss:0.083235+0.001938 test-mlogloss:0.803419+0.028481
## [154] train-mlogloss:0.082479+0.001967 test-mlogloss:0.804910+0.028463
## [155] train-mlogloss:0.081646+0.001586 test-mlogloss:0.805531+0.029697
## [156] train-mlogloss:0.081012+0.001577 test-mlogloss:0.806762+0.030853
## [157] train-mlogloss:0.080063+0.001614 test-mlogloss:0.808265+0.031368
## [158] train-mlogloss:0.079331+0.001503 test-mlogloss:0.809071+0.031417
## [159] train-mlogloss:0.078476+0.001668 test-mlogloss:0.811600+0.031972
## [160] train-mlogloss:0.077750+0.001671 test-mlogloss:0.812634+0.031689
## [161] train-mlogloss:0.077081+0.001683 test-mlogloss:0.814008+0.031000
## [162] train-mlogloss:0.076440+0.001608 test-mlogloss:0.815457+0.030723
## [163] train-mlogloss:0.075788+0.001487 test-mlogloss:0.817311+0.030439
## [164] train-mlogloss:0.074973+0.001630 test-mlogloss:0.818376+0.031704
## [165] train-mlogloss:0.074273+0.001499 test-mlogloss:0.819031+0.032054
## [166] train-mlogloss:0.073500+0.001337 test-mlogloss:0.819491+0.031259
## [167] train-mlogloss:0.072944+0.001211 test-mlogloss:0.819745+0.030545
## [168] train-mlogloss:0.072320+0.001229 test-mlogloss:0.821404+0.030769
## [169] train-mlogloss:0.071538+0.001295 test-mlogloss:0.822868+0.030511
## [170] train-mlogloss:0.070872+0.001374 test-mlogloss:0.824378+0.030771
## [171] train-mlogloss:0.070331+0.001433 test-mlogloss:0.824856+0.029890
## [172] train-mlogloss:0.069663+0.001549 test-mlogloss:0.825901+0.029113
## [173] train-mlogloss:0.069067+0.001515 test-mlogloss:0.827878+0.028932
## [174] train-mlogloss:0.068530+0.001539 test-mlogloss:0.827915+0.028402
## [175] train-mlogloss:0.067899+0.001554 test-mlogloss:0.829138+0.028989
## [176] train-mlogloss:0.067306+0.001633 test-mlogloss:0.830356+0.029715
## [177] train-mlogloss:0.066690+0.001627 test-mlogloss:0.832104+0.029635
## [178] train-mlogloss:0.066102+0.001569 test-mlogloss:0.833499+0.030410
## [179] train-mlogloss:0.065567+0.001728 test-mlogloss:0.834378+0.030441
## [180] train-mlogloss:0.065005+0.001675 test-mlogloss:0.835297+0.030873
## [181] train-mlogloss:0.064444+0.001686 test-mlogloss:0.836632+0.031447
## [182] train-mlogloss:0.063904+0.001690 test-mlogloss:0.838572+0.030782
## [183] train-mlogloss:0.063374+0.001591 test-mlogloss:0.839335+0.031195
## [184] train-mlogloss:0.062825+0.001615 test-mlogloss:0.840323+0.030099
## [185] train-mlogloss:0.062386+0.001634 test-mlogloss:0.840918+0.030206
## [186] train-mlogloss:0.061908+0.001688 test-mlogloss:0.842820+0.029773
## [187] train-mlogloss:0.061297+0.001653 test-mlogloss:0.843785+0.029829
## [188] train-mlogloss:0.060802+0.001636 test-mlogloss:0.845275+0.030435
## [189] train-mlogloss:0.060330+0.001663 test-mlogloss:0.846499+0.029857
## [190] train-mlogloss:0.059905+0.001659 test-mlogloss:0.847293+0.029741
## [191] train-mlogloss:0.059581+0.001657 test-mlogloss:0.848783+0.029367
## [192] train-mlogloss:0.058934+0.001679 test-mlogloss:0.850250+0.029964
## [193] train-mlogloss:0.058377+0.001618 test-mlogloss:0.850728+0.031014
## [194] train-mlogloss:0.057850+0.001684 test-mlogloss:0.852329+0.032034
## [195] train-mlogloss:0.057430+0.001659 test-mlogloss:0.853443+0.031300
## [196] train-mlogloss:0.056980+0.001650 test-mlogloss:0.855350+0.031828
## [197] train-mlogloss:0.056622+0.001713 test-mlogloss:0.855880+0.031495
## [198] train-mlogloss:0.056204+0.001645 test-mlogloss:0.856950+0.031722
## [199] train-mlogloss:0.055747+0.001519 test-mlogloss:0.857785+0.031915
## [200] train-mlogloss:0.055316+0.001589 test-mlogloss:0.858616+0.031798
## [201] train-mlogloss:0.054914+0.001674 test-mlogloss:0.860284+0.031979
## [202] train-mlogloss:0.054548+0.001647 test-mlogloss:0.861835+0.031561
## [203] train-mlogloss:0.054069+0.001577 test-mlogloss:0.862975+0.031397
## [204] train-mlogloss:0.053632+0.001469 test-mlogloss:0.864379+0.031541
## [205] train-mlogloss:0.053185+0.001499 test-mlogloss:0.865668+0.032046
## [206] train-mlogloss:0.052818+0.001476 test-mlogloss:0.867114+0.030916
## [207] train-mlogloss:0.052395+0.001515 test-mlogloss:0.868633+0.030588
## [208] train-mlogloss:0.052047+0.001586 test-mlogloss:0.869922+0.030173
## [209] train-mlogloss:0.051619+0.001662 test-mlogloss:0.871262+0.029943
## [210] train-mlogloss:0.051186+0.001692 test-mlogloss:0.872712+0.030666
## [211] train-mlogloss:0.050804+0.001755 test-mlogloss:0.873343+0.031781
## [212] train-mlogloss:0.050448+0.001721 test-mlogloss:0.874660+0.031240
## [213] train-mlogloss:0.050099+0.001711 test-mlogloss:0.875498+0.030962
## [214] train-mlogloss:0.049746+0.001715 test-mlogloss:0.876630+0.031127
## [215] train-mlogloss:0.049369+0.001759 test-mlogloss:0.878030+0.030974
## [216] train-mlogloss:0.048988+0.001750 test-mlogloss:0.879034+0.032158
## [217] train-mlogloss:0.048567+0.001819 test-mlogloss:0.881002+0.031816
## [218] train-mlogloss:0.048188+0.001726 test-mlogloss:0.881028+0.031819
## [219] train-mlogloss:0.047806+0.001655 test-mlogloss:0.882466+0.032639
## [220] train-mlogloss:0.047455+0.001596 test-mlogloss:0.883568+0.032011
## [221] train-mlogloss:0.047219+0.001597 test-mlogloss:0.884393+0.032813
## [222] train-mlogloss:0.046919+0.001577 test-mlogloss:0.885242+0.033347
## [223] train-mlogloss:0.046535+0.001479 test-mlogloss:0.887021+0.033866
## [224] train-mlogloss:0.046207+0.001466 test-mlogloss:0.888411+0.033975
## [225] train-mlogloss:0.045912+0.001417 test-mlogloss:0.890938+0.033969
## [226] train-mlogloss:0.045663+0.001419 test-mlogloss:0.891462+0.034290
## [227] train-mlogloss:0.045356+0.001395 test-mlogloss:0.893468+0.033626
## [228] train-mlogloss:0.044963+0.001407 test-mlogloss:0.893314+0.033141
## [229] train-mlogloss:0.044569+0.001367 test-mlogloss:0.896051+0.032396
## [230] train-mlogloss:0.044264+0.001377 test-mlogloss:0.896190+0.033209
## [231] train-mlogloss:0.043970+0.001370 test-mlogloss:0.897370+0.033647
## [232] train-mlogloss:0.043719+0.001367 test-mlogloss:0.898723+0.033042
## [233] train-mlogloss:0.043447+0.001386 test-mlogloss:0.899166+0.032780
## [234] train-mlogloss:0.043145+0.001402 test-mlogloss:0.899637+0.032302
## [235] train-mlogloss:0.042899+0.001411 test-mlogloss:0.900483+0.032847
## [236] train-mlogloss:0.042628+0.001421 test-mlogloss:0.901807+0.033709
## [237] train-mlogloss:0.042353+0.001472 test-mlogloss:0.901713+0.033490
## [238] train-mlogloss:0.042063+0.001484 test-mlogloss:0.902762+0.033493
## [239] train-mlogloss:0.041797+0.001423 test-mlogloss:0.903413+0.032883
## [240] train-mlogloss:0.041453+0.001418 test-mlogloss:0.904848+0.033955
## [241] train-mlogloss:0.041219+0.001391 test-mlogloss:0.906191+0.033574
## [242] train-mlogloss:0.040981+0.001377 test-mlogloss:0.906626+0.033724
## [243] train-mlogloss:0.040653+0.001365 test-mlogloss:0.908426+0.034354
## [244] train-mlogloss:0.040375+0.001289 test-mlogloss:0.910078+0.034238
## [245] train-mlogloss:0.040113+0.001272 test-mlogloss:0.910750+0.034239
## [246] train-mlogloss:0.039872+0.001275 test-mlogloss:0.911609+0.034389
## [247] train-mlogloss:0.039588+0.001258 test-mlogloss:0.913476+0.034561
## [248] train-mlogloss:0.039299+0.001257 test-mlogloss:0.913263+0.034251
## [249] train-mlogloss:0.039046+0.001244 test-mlogloss:0.914579+0.034499
## [250] train-mlogloss:0.038754+0.001214 test-mlogloss:0.915160+0.033876
## [251] train-mlogloss:0.038533+0.001157 test-mlogloss:0.916239+0.033730
## [252] train-mlogloss:0.038235+0.001126 test-mlogloss:0.917214+0.034438
## [253] train-mlogloss:0.038011+0.001166 test-mlogloss:0.917957+0.034670
## [254] train-mlogloss:0.037788+0.001155 test-mlogloss:0.918293+0.034234
## [255] train-mlogloss:0.037541+0.001134 test-mlogloss:0.918892+0.034150
## [256] train-mlogloss:0.037308+0.001132 test-mlogloss:0.920351+0.033840
## [257] train-mlogloss:0.037069+0.001081 test-mlogloss:0.920881+0.033341
## [258] train-mlogloss:0.036888+0.001050 test-mlogloss:0.922169+0.033245
## [259] train-mlogloss:0.036692+0.001086 test-mlogloss:0.923246+0.033268
## [260] train-mlogloss:0.036433+0.001102 test-mlogloss:0.923943+0.034526
## [261] train-mlogloss:0.036261+0.001140 test-mlogloss:0.925497+0.034128
## [262] train-mlogloss:0.036061+0.001135 test-mlogloss:0.926924+0.035625
## [263] train-mlogloss:0.035805+0.001143 test-mlogloss:0.928040+0.034908
## [264] train-mlogloss:0.035599+0.001119 test-mlogloss:0.929704+0.035335
## [265] train-mlogloss:0.035374+0.001077 test-mlogloss:0.930369+0.034066
## [266] train-mlogloss:0.035148+0.001075 test-mlogloss:0.931648+0.034857
## [267] train-mlogloss:0.034941+0.001054 test-mlogloss:0.932086+0.035189
## [268] train-mlogloss:0.034732+0.001087 test-mlogloss:0.932442+0.034961
## [269] train-mlogloss:0.034536+0.001131 test-mlogloss:0.933470+0.035820
## [270] train-mlogloss:0.034296+0.001129 test-mlogloss:0.934718+0.036237
## [271] train-mlogloss:0.034114+0.001125 test-mlogloss:0.935620+0.035647
## [272] train-mlogloss:0.033891+0.001068 test-mlogloss:0.937277+0.035609
## [273] train-mlogloss:0.033700+0.001069 test-mlogloss:0.938336+0.035183
## [274] train-mlogloss:0.033521+0.001053 test-mlogloss:0.939464+0.034697
## [275] train-mlogloss:0.033321+0.001076 test-mlogloss:0.940152+0.035183
## [276] train-mlogloss:0.033138+0.001032 test-mlogloss:0.941040+0.034235
## [277] train-mlogloss:0.032928+0.001009 test-mlogloss:0.942263+0.034530
## [278] train-mlogloss:0.032726+0.001036 test-mlogloss:0.942662+0.035136
## [279] train-mlogloss:0.032550+0.001011 test-mlogloss:0.942983+0.034100
## [280] train-mlogloss:0.032361+0.000999 test-mlogloss:0.943329+0.034728
## [281] train-mlogloss:0.032151+0.001002 test-mlogloss:0.944133+0.035243
## [282] train-mlogloss:0.031977+0.001001 test-mlogloss:0.944260+0.034607
## [283] train-mlogloss:0.031781+0.000982 test-mlogloss:0.945341+0.034073
## [284] train-mlogloss:0.031607+0.000965 test-mlogloss:0.945953+0.033515
## [285] train-mlogloss:0.031410+0.000947 test-mlogloss:0.946912+0.034132
## [286] train-mlogloss:0.031255+0.000954 test-mlogloss:0.947829+0.034500
## [287] train-mlogloss:0.031062+0.000977 test-mlogloss:0.947958+0.035118
## [288] train-mlogloss:0.030880+0.001027 test-mlogloss:0.948587+0.034838
## [289] train-mlogloss:0.030713+0.000993 test-mlogloss:0.950060+0.034146
## [290] train-mlogloss:0.030541+0.000980 test-mlogloss:0.950613+0.033837
## [291] train-mlogloss:0.030393+0.000944 test-mlogloss:0.951712+0.033755
## [292] train-mlogloss:0.030219+0.000929 test-mlogloss:0.952005+0.033409
## [293] train-mlogloss:0.030051+0.000909 test-mlogloss:0.952502+0.033509
## [294] train-mlogloss:0.029895+0.000927 test-mlogloss:0.952891+0.033463
## [295] train-mlogloss:0.029740+0.000906 test-mlogloss:0.953977+0.032732
## [296] train-mlogloss:0.029595+0.000964 test-mlogloss:0.954503+0.033037
## [297] train-mlogloss:0.029462+0.000930 test-mlogloss:0.955216+0.033914
## [298] train-mlogloss:0.029305+0.000915 test-mlogloss:0.957122+0.033984
## [299] train-mlogloss:0.029185+0.000920 test-mlogloss:0.957936+0.034077
## [300] train-mlogloss:0.029007+0.000914 test-mlogloss:0.959316+0.033258
## [301] train-mlogloss:0.028867+0.000904 test-mlogloss:0.959919+0.033197
## [302] train-mlogloss:0.028743+0.000898 test-mlogloss:0.960556+0.033261
## [303] train-mlogloss:0.028543+0.000882 test-mlogloss:0.960937+0.032385
## [304] train-mlogloss:0.028384+0.000897 test-mlogloss:0.961653+0.033272
## [305] train-mlogloss:0.028254+0.000865 test-mlogloss:0.963020+0.032929
## [306] train-mlogloss:0.028122+0.000877 test-mlogloss:0.963607+0.033594
## [307] train-mlogloss:0.027988+0.000872 test-mlogloss:0.964399+0.033886
## [308] train-mlogloss:0.027854+0.000870 test-mlogloss:0.965147+0.033826
## [309] train-mlogloss:0.027697+0.000857 test-mlogloss:0.966952+0.033863
## [310] train-mlogloss:0.027544+0.000848 test-mlogloss:0.966783+0.033832
## [311] train-mlogloss:0.027430+0.000846 test-mlogloss:0.968466+0.033459
## [312] train-mlogloss:0.027316+0.000823 test-mlogloss:0.969070+0.034154
## [313] train-mlogloss:0.027191+0.000818 test-mlogloss:0.970013+0.034357
## [314] train-mlogloss:0.027084+0.000805 test-mlogloss:0.971073+0.035074
## [315] train-mlogloss:0.026955+0.000806 test-mlogloss:0.970796+0.035586
## [316] train-mlogloss:0.026759+0.000814 test-mlogloss:0.971451+0.035603
## [317] train-mlogloss:0.026621+0.000826 test-mlogloss:0.972237+0.035440
## [318] train-mlogloss:0.026481+0.000809 test-mlogloss:0.972973+0.035121
## [319] train-mlogloss:0.026342+0.000791 test-mlogloss:0.974238+0.035368
## [320] train-mlogloss:0.026249+0.000807 test-mlogloss:0.974624+0.035323
## [321] train-mlogloss:0.026110+0.000802 test-mlogloss:0.975221+0.035891
## [322] train-mlogloss:0.025999+0.000768 test-mlogloss:0.976836+0.036579
## [323] train-mlogloss:0.025870+0.000772 test-mlogloss:0.977415+0.036126
## [324] train-mlogloss:0.025751+0.000761 test-mlogloss:0.978289+0.035751
## [325] train-mlogloss:0.025608+0.000759 test-mlogloss:0.978294+0.036050
## [326] train-mlogloss:0.025479+0.000733 test-mlogloss:0.979355+0.036210
## [327] train-mlogloss:0.025330+0.000749 test-mlogloss:0.980701+0.037195
## [328] train-mlogloss:0.025228+0.000744 test-mlogloss:0.981011+0.037235
## [329] train-mlogloss:0.025091+0.000734 test-mlogloss:0.982074+0.036405
## [330] train-mlogloss:0.024980+0.000722 test-mlogloss:0.982823+0.035990
## [331] train-mlogloss:0.024870+0.000721 test-mlogloss:0.983680+0.036344
## [332] train-mlogloss:0.024736+0.000716 test-mlogloss:0.985148+0.036461
## [333] train-mlogloss:0.024632+0.000707 test-mlogloss:0.985727+0.036484
## [334] train-mlogloss:0.024532+0.000740 test-mlogloss:0.986594+0.036746
## [335] train-mlogloss:0.024394+0.000735 test-mlogloss:0.986788+0.036893
## [336] train-mlogloss:0.024251+0.000714 test-mlogloss:0.986904+0.037486
## [337] train-mlogloss:0.024151+0.000708 test-mlogloss:0.987877+0.037696
## [338] train-mlogloss:0.024017+0.000727 test-mlogloss:0.988118+0.037692
## [339] train-mlogloss:0.023930+0.000717 test-mlogloss:0.988592+0.037582
## [340] train-mlogloss:0.023823+0.000714 test-mlogloss:0.990163+0.037070
## [341] train-mlogloss:0.023701+0.000696 test-mlogloss:0.990667+0.037525
## [342] train-mlogloss:0.023603+0.000704 test-mlogloss:0.990492+0.037455
## [343] train-mlogloss:0.023480+0.000711 test-mlogloss:0.991229+0.037662
## [344] train-mlogloss:0.023364+0.000679 test-mlogloss:0.991816+0.037613
## [345] train-mlogloss:0.023269+0.000683 test-mlogloss:0.992307+0.037904
## [346] train-mlogloss:0.023153+0.000660 test-mlogloss:0.993000+0.037423
## [347] train-mlogloss:0.023060+0.000638 test-mlogloss:0.993964+0.037419
## [348] train-mlogloss:0.022951+0.000622 test-mlogloss:0.995038+0.037303
## [349] train-mlogloss:0.022842+0.000617 test-mlogloss:0.995694+0.037607
## [350] train-mlogloss:0.022740+0.000594 test-mlogloss:0.996688+0.037822
## [351] train-mlogloss:0.022620+0.000588 test-mlogloss:0.997492+0.038613
## [352] train-mlogloss:0.022542+0.000572 test-mlogloss:0.997856+0.038941
## [353] train-mlogloss:0.022450+0.000584 test-mlogloss:0.998278+0.039107
## [354] train-mlogloss:0.022352+0.000573 test-mlogloss:0.999649+0.038496
## [355] train-mlogloss:0.022270+0.000578 test-mlogloss:1.000623+0.038358
## [356] train-mlogloss:0.022175+0.000570 test-mlogloss:1.001040+0.038169
## [357] train-mlogloss:0.022097+0.000568 test-mlogloss:1.002005+0.037964
## [358] train-mlogloss:0.022013+0.000554 test-mlogloss:1.002591+0.038076
## [359] train-mlogloss:0.021927+0.000551 test-mlogloss:1.003744+0.038006
## [360] train-mlogloss:0.021825+0.000554 test-mlogloss:1.003422+0.038566
## [361] train-mlogloss:0.021724+0.000547 test-mlogloss:1.004284+0.038122
## [362] train-mlogloss:0.021649+0.000559 test-mlogloss:1.004929+0.037328
## [363] train-mlogloss:0.021576+0.000566 test-mlogloss:1.006064+0.037309
## [364] train-mlogloss:0.021439+0.000543 test-mlogloss:1.007187+0.036768
## [365] train-mlogloss:0.021352+0.000552 test-mlogloss:1.008297+0.036729
## [366] train-mlogloss:0.021250+0.000528 test-mlogloss:1.009219+0.037061
## [367] train-mlogloss:0.021165+0.000519 test-mlogloss:1.009711+0.036473
## [368] train-mlogloss:0.021089+0.000522 test-mlogloss:1.010333+0.036493
## [369] train-mlogloss:0.020981+0.000524 test-mlogloss:1.010425+0.036560
## [370] train-mlogloss:0.020903+0.000526 test-mlogloss:1.010907+0.036383
## [371] train-mlogloss:0.020820+0.000506 test-mlogloss:1.010523+0.037097
## [372] train-mlogloss:0.020729+0.000511 test-mlogloss:1.010927+0.036373
## [373] train-mlogloss:0.020662+0.000519 test-mlogloss:1.011252+0.036863
## [374] train-mlogloss:0.020577+0.000505 test-mlogloss:1.011896+0.036974
## [375] train-mlogloss:0.020462+0.000514 test-mlogloss:1.012096+0.036601
## [376] train-mlogloss:0.020381+0.000529 test-mlogloss:1.013016+0.036973
## [377] train-mlogloss:0.020314+0.000525 test-mlogloss:1.012728+0.036528
## [378] train-mlogloss:0.020240+0.000532 test-mlogloss:1.013351+0.036672
## [379] train-mlogloss:0.020149+0.000534 test-mlogloss:1.014441+0.037607
## [380] train-mlogloss:0.020079+0.000510 test-mlogloss:1.015479+0.037927
## [381] train-mlogloss:0.020001+0.000480 test-mlogloss:1.016259+0.037109
## [382] train-mlogloss:0.019913+0.000476 test-mlogloss:1.016298+0.037554
## [383] train-mlogloss:0.019826+0.000461 test-mlogloss:1.017601+0.037496
## [384] train-mlogloss:0.019750+0.000455 test-mlogloss:1.018132+0.037787
## [385] train-mlogloss:0.019681+0.000459 test-mlogloss:1.018604+0.037559
## [386] train-mlogloss:0.019615+0.000450 test-mlogloss:1.018610+0.037197
## [387] train-mlogloss:0.019532+0.000452 test-mlogloss:1.019376+0.037082
## [388] train-mlogloss:0.019456+0.000467 test-mlogloss:1.020571+0.036682
## [389] train-mlogloss:0.019393+0.000462 test-mlogloss:1.020938+0.036495
## [390] train-mlogloss:0.019331+0.000456 test-mlogloss:1.022319+0.035992
## [391] train-mlogloss:0.019263+0.000442 test-mlogloss:1.022518+0.037129
## [392] train-mlogloss:0.019187+0.000419 test-mlogloss:1.022722+0.036229
## [393] train-mlogloss:0.019115+0.000422 test-mlogloss:1.023494+0.036609
## [394] train-mlogloss:0.019055+0.000422 test-mlogloss:1.024790+0.036886
## [395] train-mlogloss:0.018989+0.000424 test-mlogloss:1.024735+0.036735
## [396] train-mlogloss:0.018931+0.000417 test-mlogloss:1.025476+0.036224
## [397] train-mlogloss:0.018873+0.000424 test-mlogloss:1.026810+0.035848
## [398] train-mlogloss:0.018800+0.000421 test-mlogloss:1.027510+0.036234
## [399] train-mlogloss:0.018718+0.000420 test-mlogloss:1.028190+0.036322
## [400] train-mlogloss:0.018644+0.000416 test-mlogloss:1.028790+0.036729
## [401] train-mlogloss:0.018575+0.000410 test-mlogloss:1.029462+0.036758
## [402] train-mlogloss:0.018501+0.000392 test-mlogloss:1.030499+0.036346
## [403] train-mlogloss:0.018413+0.000391 test-mlogloss:1.032331+0.036145
## [404] train-mlogloss:0.018339+0.000390 test-mlogloss:1.032439+0.036174
## [405] train-mlogloss:0.018283+0.000385 test-mlogloss:1.032238+0.036412
## [406] train-mlogloss:0.018231+0.000377 test-mlogloss:1.033278+0.036459
## [407] train-mlogloss:0.018160+0.000392 test-mlogloss:1.034044+0.036624
## [408] train-mlogloss:0.018106+0.000390 test-mlogloss:1.034254+0.036465
## [409] train-mlogloss:0.018044+0.000397 test-mlogloss:1.034958+0.036798
## [410] train-mlogloss:0.017975+0.000404 test-mlogloss:1.035191+0.036946
## [411] train-mlogloss:0.017897+0.000407 test-mlogloss:1.036924+0.037361
## [412] train-mlogloss:0.017822+0.000391 test-mlogloss:1.036907+0.037258
## [413] train-mlogloss:0.017755+0.000386 test-mlogloss:1.037355+0.037454
## [414] train-mlogloss:0.017704+0.000372 test-mlogloss:1.037823+0.037641
## [415] train-mlogloss:0.017653+0.000376 test-mlogloss:1.038213+0.037651
## [416] train-mlogloss:0.017587+0.000380 test-mlogloss:1.039036+0.037113
## [417] train-mlogloss:0.017526+0.000373 test-mlogloss:1.040024+0.037055
## [418] train-mlogloss:0.017471+0.000373 test-mlogloss:1.040350+0.036131
## [419] train-mlogloss:0.017402+0.000367 test-mlogloss:1.040781+0.036289
## [420] train-mlogloss:0.017344+0.000354 test-mlogloss:1.040658+0.036101
## [421] train-mlogloss:0.017297+0.000364 test-mlogloss:1.041699+0.036332
## [422] train-mlogloss:0.017238+0.000350 test-mlogloss:1.041903+0.037196
## [423] train-mlogloss:0.017180+0.000343 test-mlogloss:1.042590+0.037192
## [424] train-mlogloss:0.017116+0.000338 test-mlogloss:1.043876+0.037385
## [425] train-mlogloss:0.017075+0.000338 test-mlogloss:1.043771+0.037574
## [426] train-mlogloss:0.017015+0.000324 test-mlogloss:1.044669+0.037094
## [427] train-mlogloss:0.016958+0.000326 test-mlogloss:1.045238+0.036707
## [428] train-mlogloss:0.016904+0.000324 test-mlogloss:1.045650+0.036844
## [429] train-mlogloss:0.016847+0.000320 test-mlogloss:1.046396+0.036374
## [430] train-mlogloss:0.016786+0.000311 test-mlogloss:1.047673+0.036163
## [431] train-mlogloss:0.016733+0.000315 test-mlogloss:1.048460+0.036408
## [432] train-mlogloss:0.016679+0.000325 test-mlogloss:1.048573+0.036988
## [433] train-mlogloss:0.016633+0.000324 test-mlogloss:1.048716+0.036934
## [434] train-mlogloss:0.016591+0.000328 test-mlogloss:1.049428+0.036354
## [435] train-mlogloss:0.016520+0.000319 test-mlogloss:1.050377+0.037136
## [436] train-mlogloss:0.016458+0.000309 test-mlogloss:1.050835+0.037450
## [437] train-mlogloss:0.016402+0.000308 test-mlogloss:1.051301+0.036397
## [438] train-mlogloss:0.016347+0.000303 test-mlogloss:1.051844+0.036233
## [439] train-mlogloss:0.016289+0.000299 test-mlogloss:1.052489+0.036289
## [440] train-mlogloss:0.016237+0.000293 test-mlogloss:1.053338+0.036322
## [441] train-mlogloss:0.016178+0.000295 test-mlogloss:1.053636+0.036838
## [442] train-mlogloss:0.016122+0.000287 test-mlogloss:1.053822+0.036670
## [443] train-mlogloss:0.016072+0.000285 test-mlogloss:1.054285+0.036321
## [444] train-mlogloss:0.016030+0.000283 test-mlogloss:1.054825+0.036340
## [445] train-mlogloss:0.015976+0.000285 test-mlogloss:1.055107+0.036720
## [446] train-mlogloss:0.015924+0.000297 test-mlogloss:1.055548+0.036238
## [447] train-mlogloss:0.015874+0.000308 test-mlogloss:1.055812+0.036282
## [448] train-mlogloss:0.015809+0.000307 test-mlogloss:1.056751+0.036570
## [449] train-mlogloss:0.015754+0.000299 test-mlogloss:1.057780+0.036163
## [450] train-mlogloss:0.015707+0.000290 test-mlogloss:1.058412+0.035752
## [451] train-mlogloss:0.015649+0.000291 test-mlogloss:1.058060+0.035538
## [452] train-mlogloss:0.015604+0.000293 test-mlogloss:1.058985+0.036394
## [453] train-mlogloss:0.015550+0.000291 test-mlogloss:1.059962+0.036572
## [454] train-mlogloss:0.015507+0.000296 test-mlogloss:1.060589+0.037126
## [455] train-mlogloss:0.015457+0.000291 test-mlogloss:1.060826+0.035937
## [456] train-mlogloss:0.015404+0.000297 test-mlogloss:1.061225+0.036355
## [457] train-mlogloss:0.015362+0.000298 test-mlogloss:1.061596+0.036472
## [458] train-mlogloss:0.015317+0.000299 test-mlogloss:1.061586+0.035798
## [459] train-mlogloss:0.015263+0.000291 test-mlogloss:1.061929+0.035967
## [460] train-mlogloss:0.015209+0.000290 test-mlogloss:1.062469+0.035931
## [461] train-mlogloss:0.015168+0.000281 test-mlogloss:1.062720+0.036208
## [462] train-mlogloss:0.015111+0.000273 test-mlogloss:1.063111+0.035930
## [463] train-mlogloss:0.015084+0.000278 test-mlogloss:1.063445+0.036093
## [464] train-mlogloss:0.015027+0.000275 test-mlogloss:1.063129+0.036930
## [465] train-mlogloss:0.014971+0.000283 test-mlogloss:1.064860+0.037314
## [466] train-mlogloss:0.014919+0.000290 test-mlogloss:1.065721+0.036858
## [467] train-mlogloss:0.014873+0.000285 test-mlogloss:1.065887+0.037034
## [468] train-mlogloss:0.014825+0.000292 test-mlogloss:1.066649+0.036393
## [469] train-mlogloss:0.014787+0.000288 test-mlogloss:1.067116+0.036887
## [470] train-mlogloss:0.014744+0.000297 test-mlogloss:1.067213+0.036961
## [471] train-mlogloss:0.014692+0.000297 test-mlogloss:1.068345+0.036683
## [472] train-mlogloss:0.014650+0.000281 test-mlogloss:1.069102+0.036496
## [473] train-mlogloss:0.014603+0.000276 test-mlogloss:1.069553+0.036899
## [474] train-mlogloss:0.014562+0.000278 test-mlogloss:1.070344+0.036040
## [475] train-mlogloss:0.014515+0.000276 test-mlogloss:1.070944+0.036148
## [476] train-mlogloss:0.014472+0.000276 test-mlogloss:1.071080+0.036378
## [477] train-mlogloss:0.014425+0.000279 test-mlogloss:1.071559+0.036489
## [478] train-mlogloss:0.014391+0.000279 test-mlogloss:1.072036+0.036185
## [479] train-mlogloss:0.014355+0.000278 test-mlogloss:1.072891+0.036194
## [480] train-mlogloss:0.014318+0.000287 test-mlogloss:1.073373+0.035996
## [481] train-mlogloss:0.014279+0.000286 test-mlogloss:1.074538+0.036485
## [482] train-mlogloss:0.014233+0.000287 test-mlogloss:1.075039+0.037016
## [483] train-mlogloss:0.014194+0.000281 test-mlogloss:1.074753+0.037424
## [484] train-mlogloss:0.014156+0.000283 test-mlogloss:1.075617+0.036608
## [485] train-mlogloss:0.014107+0.000281 test-mlogloss:1.076917+0.037061
## [486] train-mlogloss:0.014062+0.000277 test-mlogloss:1.077393+0.037046
## [487] train-mlogloss:0.014036+0.000267 test-mlogloss:1.077901+0.036841
## [488] train-mlogloss:0.014008+0.000268 test-mlogloss:1.077913+0.036449
## [489] train-mlogloss:0.013967+0.000256 test-mlogloss:1.078525+0.036398
## [490] train-mlogloss:0.013937+0.000256 test-mlogloss:1.078596+0.035862
## [491] train-mlogloss:0.013911+0.000256 test-mlogloss:1.079298+0.035899
## [492] train-mlogloss:0.013868+0.000261 test-mlogloss:1.080306+0.036585
## [493] train-mlogloss:0.013832+0.000261 test-mlogloss:1.080912+0.036671
## [494] train-mlogloss:0.013793+0.000264 test-mlogloss:1.080924+0.036378
## [495] train-mlogloss:0.013756+0.000269 test-mlogloss:1.081071+0.036124
## [496] train-mlogloss:0.013713+0.000262 test-mlogloss:1.081592+0.036008
## [497] train-mlogloss:0.013679+0.000256 test-mlogloss:1.082114+0.035686
## [498] train-mlogloss:0.013640+0.000259 test-mlogloss:1.081763+0.036211
## [499] train-mlogloss:0.013605+0.000258 test-mlogloss:1.082117+0.036335
## [500] train-mlogloss:0.013557+0.000255 test-mlogloss:1.082861+0.036499
## [1] train-mlogloss:0.459219+0.003990 test-mlogloss:0.584738+0.013464
## [2] train-mlogloss:0.364473+0.003973 test-mlogloss:0.589873+0.018629
## [3] train-mlogloss:0.303579+0.003246 test-mlogloss:0.603108+0.022444
## [4] train-mlogloss:0.259875+0.002736 test-mlogloss:0.621315+0.025691
## [5] train-mlogloss:0.227816+0.004240 test-mlogloss:0.632523+0.029973
## [6] train-mlogloss:0.203300+0.004364 test-mlogloss:0.645568+0.029197
## [7] train-mlogloss:0.181884+0.002949 test-mlogloss:0.657233+0.029692
## [8] train-mlogloss:0.162772+0.003063 test-mlogloss:0.668676+0.031585
## [9] train-mlogloss:0.147204+0.003276 test-mlogloss:0.679432+0.032935
## [10] train-mlogloss:0.135196+0.003539 test-mlogloss:0.688552+0.035552
## [11] train-mlogloss:0.123558+0.002318 test-mlogloss:0.698334+0.038718
## [12] train-mlogloss:0.114335+0.002533 test-mlogloss:0.704970+0.040919
## [13] train-mlogloss:0.105293+0.002228 test-mlogloss:0.713488+0.045516
## [14] train-mlogloss:0.097948+0.001983 test-mlogloss:0.721135+0.045419
## [15] train-mlogloss:0.091989+0.001422 test-mlogloss:0.729413+0.046112
## [16] train-mlogloss:0.086446+0.001570 test-mlogloss:0.736869+0.045893
## [17] train-mlogloss:0.081320+0.001343 test-mlogloss:0.743013+0.046649
## [18] train-mlogloss:0.076761+0.001195 test-mlogloss:0.749098+0.047097
## [19] train-mlogloss:0.072567+0.001025 test-mlogloss:0.755307+0.049100
## [20] train-mlogloss:0.068876+0.001216 test-mlogloss:0.760176+0.050993
## [21] train-mlogloss:0.065541+0.001235 test-mlogloss:0.764780+0.051518
## [22] train-mlogloss:0.062523+0.001253 test-mlogloss:0.769518+0.051209
## [23] train-mlogloss:0.059867+0.001206 test-mlogloss:0.773113+0.051839
## [24] train-mlogloss:0.057229+0.000958 test-mlogloss:0.778122+0.053327
## [25] train-mlogloss:0.054912+0.000934 test-mlogloss:0.783489+0.052108
## [26] train-mlogloss:0.052721+0.000833 test-mlogloss:0.788122+0.051597
## [27] train-mlogloss:0.050758+0.000805 test-mlogloss:0.791930+0.050797
## [28] train-mlogloss:0.048906+0.000721 test-mlogloss:0.797547+0.050816
## [29] train-mlogloss:0.047200+0.000778 test-mlogloss:0.801613+0.051601
## [30] train-mlogloss:0.045685+0.000736 test-mlogloss:0.805812+0.050677
## [31] train-mlogloss:0.044259+0.000693 test-mlogloss:0.810585+0.052222
## [32] train-mlogloss:0.042909+0.000687 test-mlogloss:0.814148+0.051972
## [33] train-mlogloss:0.041664+0.000659 test-mlogloss:0.817824+0.050242
## [34] train-mlogloss:0.040468+0.000597 test-mlogloss:0.820515+0.050775
## [35] train-mlogloss:0.039368+0.000549 test-mlogloss:0.824116+0.051589
## [36] train-mlogloss:0.038361+0.000517 test-mlogloss:0.827219+0.050224
## [37] train-mlogloss:0.037356+0.000468 test-mlogloss:0.830799+0.050397
## [38] train-mlogloss:0.036390+0.000450 test-mlogloss:0.834860+0.052385
## [39] train-mlogloss:0.035548+0.000455 test-mlogloss:0.835913+0.051527
## [40] train-mlogloss:0.034772+0.000447 test-mlogloss:0.840157+0.052817
## [41] train-mlogloss:0.033981+0.000432 test-mlogloss:0.843900+0.053703
## [42] train-mlogloss:0.033230+0.000409 test-mlogloss:0.846015+0.054166
## [43] train-mlogloss:0.032514+0.000403 test-mlogloss:0.848091+0.055170
## [44] train-mlogloss:0.031881+0.000360 test-mlogloss:0.851924+0.055234
## [45] train-mlogloss:0.031251+0.000339 test-mlogloss:0.854760+0.055041
## [46] train-mlogloss:0.030639+0.000353 test-mlogloss:0.857322+0.055406
## [47] train-mlogloss:0.030059+0.000324 test-mlogloss:0.860426+0.055268
## [48] train-mlogloss:0.029485+0.000354 test-mlogloss:0.861572+0.055455
## [49] train-mlogloss:0.028985+0.000318 test-mlogloss:0.863559+0.055687
## [50] train-mlogloss:0.028487+0.000329 test-mlogloss:0.864959+0.055836
## [51] train-mlogloss:0.028016+0.000309 test-mlogloss:0.867707+0.055675
## [52] train-mlogloss:0.027546+0.000295 test-mlogloss:0.871143+0.055126
## [53] train-mlogloss:0.027089+0.000256 test-mlogloss:0.873258+0.055365
## [54] train-mlogloss:0.026651+0.000242 test-mlogloss:0.874710+0.054750
## [55] train-mlogloss:0.026260+0.000254 test-mlogloss:0.878476+0.055282
## [56] train-mlogloss:0.025881+0.000249 test-mlogloss:0.880099+0.056456
## [57] train-mlogloss:0.025509+0.000241 test-mlogloss:0.880486+0.057501
## [58] train-mlogloss:0.025141+0.000246 test-mlogloss:0.881147+0.057270
## [59] train-mlogloss:0.024766+0.000256 test-mlogloss:0.883326+0.058166
## [60] train-mlogloss:0.024394+0.000257 test-mlogloss:0.883996+0.058280
## [61] train-mlogloss:0.024054+0.000228 test-mlogloss:0.885517+0.058227
## [62] train-mlogloss:0.023745+0.000223 test-mlogloss:0.887090+0.057393
## [63] train-mlogloss:0.023453+0.000214 test-mlogloss:0.889671+0.057837
## [64] train-mlogloss:0.023151+0.000225 test-mlogloss:0.890366+0.058855
## [65] train-mlogloss:0.022883+0.000226 test-mlogloss:0.891891+0.058321
## [66] train-mlogloss:0.022608+0.000216 test-mlogloss:0.893771+0.057111
## [67] train-mlogloss:0.022320+0.000211 test-mlogloss:0.894825+0.058258
## [68] train-mlogloss:0.022035+0.000202 test-mlogloss:0.896606+0.057967
## [69] train-mlogloss:0.021780+0.000190 test-mlogloss:0.897566+0.058697
## [70] train-mlogloss:0.021526+0.000199 test-mlogloss:0.898369+0.058914
## [71] train-mlogloss:0.021266+0.000198 test-mlogloss:0.899946+0.059999
## [72] train-mlogloss:0.021012+0.000190 test-mlogloss:0.902061+0.060469
## [73] train-mlogloss:0.020776+0.000181 test-mlogloss:0.903530+0.061131
## [74] train-mlogloss:0.020553+0.000192 test-mlogloss:0.904558+0.061356
## [75] train-mlogloss:0.020323+0.000192 test-mlogloss:0.906200+0.061509
## [76] train-mlogloss:0.020106+0.000174 test-mlogloss:0.908369+0.061795
## [77] train-mlogloss:0.019898+0.000172 test-mlogloss:0.909070+0.061949
## [78] train-mlogloss:0.019709+0.000169 test-mlogloss:0.911067+0.062899
## [79] train-mlogloss:0.019498+0.000169 test-mlogloss:0.912665+0.063857
## [80] train-mlogloss:0.019310+0.000162 test-mlogloss:0.913694+0.063229
## [81] train-mlogloss:0.019130+0.000152 test-mlogloss:0.915903+0.063800
## [82] train-mlogloss:0.018927+0.000152 test-mlogloss:0.918226+0.063956
## [83] train-mlogloss:0.018750+0.000159 test-mlogloss:0.919884+0.064868
## [84] train-mlogloss:0.018580+0.000163 test-mlogloss:0.920742+0.065493
## [85] train-mlogloss:0.018430+0.000172 test-mlogloss:0.922513+0.065754
## [86] train-mlogloss:0.018264+0.000169 test-mlogloss:0.924390+0.064830
## [87] train-mlogloss:0.018106+0.000165 test-mlogloss:0.926123+0.064852
## [88] train-mlogloss:0.017948+0.000152 test-mlogloss:0.926797+0.064217
## [89] train-mlogloss:0.017790+0.000154 test-mlogloss:0.927905+0.063735
## [90] train-mlogloss:0.017637+0.000158 test-mlogloss:0.928994+0.062701
## [91] train-mlogloss:0.017480+0.000161 test-mlogloss:0.929807+0.063115
## [92] train-mlogloss:0.017335+0.000164 test-mlogloss:0.931112+0.063945
## [93] train-mlogloss:0.017195+0.000158 test-mlogloss:0.932213+0.063724
## [94] train-mlogloss:0.017051+0.000159 test-mlogloss:0.933281+0.063639
## [95] train-mlogloss:0.016914+0.000185 test-mlogloss:0.934163+0.064711
## [96] train-mlogloss:0.016781+0.000188 test-mlogloss:0.934724+0.064718
## [97] train-mlogloss:0.016660+0.000191 test-mlogloss:0.936413+0.064972
## [98] train-mlogloss:0.016532+0.000186 test-mlogloss:0.937294+0.065579
## [99] train-mlogloss:0.016408+0.000181 test-mlogloss:0.937178+0.065216
## [100] train-mlogloss:0.016286+0.000176 test-mlogloss:0.937706+0.064979
## [101] train-mlogloss:0.016160+0.000180 test-mlogloss:0.939024+0.065063
## [102] train-mlogloss:0.016039+0.000181 test-mlogloss:0.940354+0.065305
## [103] train-mlogloss:0.015915+0.000180 test-mlogloss:0.940717+0.065877
## [104] train-mlogloss:0.015811+0.000175 test-mlogloss:0.941154+0.065050
## [105] train-mlogloss:0.015695+0.000170 test-mlogloss:0.942824+0.065126
## [106] train-mlogloss:0.015589+0.000169 test-mlogloss:0.944064+0.065463
## [107] train-mlogloss:0.015481+0.000163 test-mlogloss:0.945290+0.065334
## [108] train-mlogloss:0.015371+0.000167 test-mlogloss:0.946481+0.066089
## [109] train-mlogloss:0.015261+0.000156 test-mlogloss:0.947405+0.066784
## [110] train-mlogloss:0.015162+0.000151 test-mlogloss:0.948053+0.067018
## [111] train-mlogloss:0.015056+0.000154 test-mlogloss:0.948637+0.067737
## [112] train-mlogloss:0.014950+0.000160 test-mlogloss:0.950512+0.068090
## [113] train-mlogloss:0.014862+0.000155 test-mlogloss:0.950482+0.068612
## [114] train-mlogloss:0.014770+0.000153 test-mlogloss:0.952257+0.068294
## [115] train-mlogloss:0.014682+0.000147 test-mlogloss:0.953553+0.069887
## [116] train-mlogloss:0.014588+0.000148 test-mlogloss:0.954182+0.069609
## [117] train-mlogloss:0.014498+0.000143 test-mlogloss:0.955641+0.069818
## [118] train-mlogloss:0.014414+0.000140 test-mlogloss:0.956598+0.069383
## [119] train-mlogloss:0.014321+0.000144 test-mlogloss:0.957623+0.068907
## [120] train-mlogloss:0.014233+0.000142 test-mlogloss:0.958757+0.069375
## [121] train-mlogloss:0.014148+0.000136 test-mlogloss:0.959638+0.069810
## [122] train-mlogloss:0.014066+0.000139 test-mlogloss:0.960479+0.070528
## [123] train-mlogloss:0.013990+0.000137 test-mlogloss:0.961620+0.070303
## [124] train-mlogloss:0.013904+0.000136 test-mlogloss:0.961925+0.070746
## [125] train-mlogloss:0.013824+0.000134 test-mlogloss:0.963688+0.071254
## [126] train-mlogloss:0.013747+0.000135 test-mlogloss:0.964676+0.070765
## [127] train-mlogloss:0.013667+0.000130 test-mlogloss:0.966032+0.071805
## [128] train-mlogloss:0.013589+0.000135 test-mlogloss:0.967304+0.072330
## [129] train-mlogloss:0.013516+0.000133 test-mlogloss:0.968307+0.072655
## [130] train-mlogloss:0.013438+0.000133 test-mlogloss:0.969120+0.072524
## [131] train-mlogloss:0.013367+0.000129 test-mlogloss:0.969465+0.072436
## [132] train-mlogloss:0.013295+0.000129 test-mlogloss:0.970899+0.072253
## [133] train-mlogloss:0.013222+0.000127 test-mlogloss:0.971886+0.072484
## [134] train-mlogloss:0.013153+0.000132 test-mlogloss:0.972381+0.071891
## [135] train-mlogloss:0.013083+0.000130 test-mlogloss:0.973781+0.072912
## [136] train-mlogloss:0.013016+0.000130 test-mlogloss:0.975172+0.072405
## [137] train-mlogloss:0.012949+0.000128 test-mlogloss:0.975787+0.072671
## [138] train-mlogloss:0.012882+0.000125 test-mlogloss:0.976410+0.073127
## [139] train-mlogloss:0.012817+0.000125 test-mlogloss:0.977401+0.072877
## [140] train-mlogloss:0.012759+0.000127 test-mlogloss:0.978095+0.073695
## [141] train-mlogloss:0.012696+0.000125 test-mlogloss:0.977901+0.073849
## [142] train-mlogloss:0.012627+0.000122 test-mlogloss:0.978656+0.073527
## [143] train-mlogloss:0.012566+0.000120 test-mlogloss:0.979768+0.073135
## [144] train-mlogloss:0.012509+0.000130 test-mlogloss:0.979876+0.072890
## [145] train-mlogloss:0.012451+0.000130 test-mlogloss:0.981508+0.073598
## [146] train-mlogloss:0.012397+0.000127 test-mlogloss:0.981750+0.073792
## [147] train-mlogloss:0.012339+0.000128 test-mlogloss:0.982318+0.073348
## [148] train-mlogloss:0.012284+0.000130 test-mlogloss:0.983244+0.073153
## [149] train-mlogloss:0.012227+0.000128 test-mlogloss:0.984124+0.073919
## [150] train-mlogloss:0.012172+0.000133 test-mlogloss:0.984262+0.073687
## [151] train-mlogloss:0.012123+0.000133 test-mlogloss:0.985240+0.073189
## [152] train-mlogloss:0.012069+0.000131 test-mlogloss:0.985590+0.073531
## [153] train-mlogloss:0.012011+0.000132 test-mlogloss:0.986992+0.073594
## [154] train-mlogloss:0.011956+0.000132 test-mlogloss:0.988445+0.073477
## [155] train-mlogloss:0.011898+0.000130 test-mlogloss:0.988882+0.073189
## [156] train-mlogloss:0.011841+0.000131 test-mlogloss:0.988844+0.072633
## [157] train-mlogloss:0.011793+0.000128 test-mlogloss:0.989625+0.072530
## [158] train-mlogloss:0.011746+0.000126 test-mlogloss:0.990075+0.072995
## [159] train-mlogloss:0.011694+0.000119 test-mlogloss:0.989724+0.073146
## [160] train-mlogloss:0.011645+0.000120 test-mlogloss:0.990590+0.073202
## [161] train-mlogloss:0.011600+0.000118 test-mlogloss:0.991236+0.073616
## [162] train-mlogloss:0.011551+0.000117 test-mlogloss:0.992390+0.073855
## [163] train-mlogloss:0.011505+0.000113 test-mlogloss:0.992736+0.073661
## [164] train-mlogloss:0.011455+0.000111 test-mlogloss:0.993224+0.073554
## [165] train-mlogloss:0.011408+0.000113 test-mlogloss:0.994401+0.073722
## [166] train-mlogloss:0.011359+0.000115 test-mlogloss:0.994638+0.073790
## [167] train-mlogloss:0.011320+0.000114 test-mlogloss:0.995670+0.074737
## [168] train-mlogloss:0.011276+0.000116 test-mlogloss:0.996712+0.076025
## [169] train-mlogloss:0.011233+0.000115 test-mlogloss:0.997458+0.075127
## [170] train-mlogloss:0.011188+0.000110 test-mlogloss:0.997256+0.075112
## [171] train-mlogloss:0.011151+0.000111 test-mlogloss:0.998295+0.074901
## [172] train-mlogloss:0.011105+0.000110 test-mlogloss:0.999233+0.075660
## [173] train-mlogloss:0.011064+0.000106 test-mlogloss:1.000017+0.075594
## [174] train-mlogloss:0.011026+0.000103 test-mlogloss:1.000233+0.075242
## [175] train-mlogloss:0.010982+0.000106 test-mlogloss:1.000880+0.075388
## [176] train-mlogloss:0.010938+0.000108 test-mlogloss:1.002306+0.076003
## [177] train-mlogloss:0.010895+0.000108 test-mlogloss:1.002171+0.075146
## [178] train-mlogloss:0.010855+0.000107 test-mlogloss:1.002364+0.075277
## [179] train-mlogloss:0.010812+0.000103 test-mlogloss:1.002887+0.075555
## [180] train-mlogloss:0.010769+0.000104 test-mlogloss:1.004005+0.076128
## [181] train-mlogloss:0.010729+0.000103 test-mlogloss:1.004770+0.075977
## [182] train-mlogloss:0.010689+0.000104 test-mlogloss:1.005337+0.075677
## [183] train-mlogloss:0.010646+0.000104 test-mlogloss:1.005757+0.075818
## [184] train-mlogloss:0.010609+0.000102 test-mlogloss:1.006108+0.075403
## [185] train-mlogloss:0.010574+0.000100 test-mlogloss:1.006882+0.075735
## [186] train-mlogloss:0.010538+0.000102 test-mlogloss:1.007888+0.075569
## [187] train-mlogloss:0.010503+0.000100 test-mlogloss:1.008604+0.075089
## [188] train-mlogloss:0.010460+0.000101 test-mlogloss:1.008874+0.075094
## [189] train-mlogloss:0.010424+0.000101 test-mlogloss:1.009459+0.076043
## [190] train-mlogloss:0.010390+0.000100 test-mlogloss:1.009850+0.075797
## [191] train-mlogloss:0.010350+0.000099 test-mlogloss:1.011072+0.075897
## [192] train-mlogloss:0.010315+0.000095 test-mlogloss:1.011163+0.075916
## [193] train-mlogloss:0.010276+0.000096 test-mlogloss:1.012452+0.076560
## [194] train-mlogloss:0.010245+0.000097 test-mlogloss:1.012900+0.076307
## [195] train-mlogloss:0.010207+0.000098 test-mlogloss:1.013563+0.075926
## [196] train-mlogloss:0.010171+0.000098 test-mlogloss:1.014701+0.076237
## [197] train-mlogloss:0.010139+0.000096 test-mlogloss:1.015307+0.076349
## [198] train-mlogloss:0.010106+0.000093 test-mlogloss:1.015676+0.077091
## [199] train-mlogloss:0.010075+0.000095 test-mlogloss:1.016224+0.077042
## [200] train-mlogloss:0.010045+0.000092 test-mlogloss:1.016243+0.076761
## [201] train-mlogloss:0.010010+0.000095 test-mlogloss:1.016956+0.077145
## [202] train-mlogloss:0.009981+0.000094 test-mlogloss:1.017050+0.077585
## [203] train-mlogloss:0.009948+0.000094 test-mlogloss:1.017598+0.077759
## [204] train-mlogloss:0.009916+0.000095 test-mlogloss:1.018345+0.077747
## [205] train-mlogloss:0.009887+0.000094 test-mlogloss:1.019319+0.077514
## [206] train-mlogloss:0.009856+0.000094 test-mlogloss:1.019899+0.076723
## [207] train-mlogloss:0.009821+0.000092 test-mlogloss:1.020147+0.077358
## [208] train-mlogloss:0.009789+0.000090 test-mlogloss:1.020109+0.078122
## [209] train-mlogloss:0.009762+0.000090 test-mlogloss:1.020692+0.078452
## [210] train-mlogloss:0.009732+0.000087 test-mlogloss:1.021183+0.078069
## [211] train-mlogloss:0.009702+0.000086 test-mlogloss:1.021573+0.078390
## [212] train-mlogloss:0.009676+0.000085 test-mlogloss:1.021989+0.078613
## [213] train-mlogloss:0.009646+0.000082 test-mlogloss:1.022167+0.078968
## [214] train-mlogloss:0.009614+0.000084 test-mlogloss:1.023397+0.078380
## [215] train-mlogloss:0.009587+0.000083 test-mlogloss:1.024828+0.078678
## [216] train-mlogloss:0.009560+0.000081 test-mlogloss:1.024877+0.077993
## [217] train-mlogloss:0.009531+0.000080 test-mlogloss:1.025154+0.078139
## [218] train-mlogloss:0.009501+0.000079 test-mlogloss:1.025484+0.078268
## [219] train-mlogloss:0.009471+0.000081 test-mlogloss:1.026086+0.077927
## [220] train-mlogloss:0.009443+0.000077 test-mlogloss:1.026738+0.077704
## [221] train-mlogloss:0.009414+0.000078 test-mlogloss:1.026763+0.077507
## [222] train-mlogloss:0.009387+0.000081 test-mlogloss:1.027252+0.078334
## [223] train-mlogloss:0.009363+0.000084 test-mlogloss:1.028216+0.078046
## [224] train-mlogloss:0.009336+0.000081 test-mlogloss:1.028172+0.077605
## [225] train-mlogloss:0.009308+0.000080 test-mlogloss:1.028354+0.077506
## [226] train-mlogloss:0.009283+0.000081 test-mlogloss:1.029581+0.077389
## [227] train-mlogloss:0.009253+0.000083 test-mlogloss:1.030020+0.077131
## [228] train-mlogloss:0.009228+0.000082 test-mlogloss:1.030238+0.076711
## [229] train-mlogloss:0.009202+0.000082 test-mlogloss:1.030849+0.076515
## [230] train-mlogloss:0.009174+0.000081 test-mlogloss:1.031033+0.076522
## [231] train-mlogloss:0.009148+0.000082 test-mlogloss:1.032178+0.077383
## [232] train-mlogloss:0.009125+0.000080 test-mlogloss:1.033165+0.078053
## [233] train-mlogloss:0.009100+0.000078 test-mlogloss:1.033542+0.077806
## [234] train-mlogloss:0.009077+0.000075 test-mlogloss:1.034434+0.078393
## [235] train-mlogloss:0.009051+0.000073 test-mlogloss:1.034194+0.077849
## [236] train-mlogloss:0.009027+0.000075 test-mlogloss:1.035002+0.077186
## [237] train-mlogloss:0.009004+0.000077 test-mlogloss:1.034847+0.078162
## [238] train-mlogloss:0.008980+0.000078 test-mlogloss:1.036040+0.078485
## [239] train-mlogloss:0.008956+0.000079 test-mlogloss:1.036184+0.077522
## [240] train-mlogloss:0.008934+0.000080 test-mlogloss:1.036588+0.077572
## [241] train-mlogloss:0.008912+0.000081 test-mlogloss:1.036998+0.077617
## [242] train-mlogloss:0.008891+0.000080 test-mlogloss:1.037347+0.077993
## [243] train-mlogloss:0.008869+0.000082 test-mlogloss:1.038103+0.077749
## [244] train-mlogloss:0.008846+0.000085 test-mlogloss:1.038600+0.077976
## [245] train-mlogloss:0.008822+0.000082 test-mlogloss:1.038466+0.079171
## [246] train-mlogloss:0.008800+0.000082 test-mlogloss:1.039289+0.078905
## [247] train-mlogloss:0.008779+0.000084 test-mlogloss:1.039740+0.078795
## [248] train-mlogloss:0.008761+0.000084 test-mlogloss:1.039964+0.079431
## [249] train-mlogloss:0.008734+0.000084 test-mlogloss:1.040829+0.080096
## [250] train-mlogloss:0.008714+0.000086 test-mlogloss:1.041851+0.079640
## [251] train-mlogloss:0.008695+0.000085 test-mlogloss:1.042439+0.079638
## [252] train-mlogloss:0.008674+0.000084 test-mlogloss:1.042587+0.079995
## [253] train-mlogloss:0.008652+0.000083 test-mlogloss:1.043786+0.080422
## [254] train-mlogloss:0.008628+0.000084 test-mlogloss:1.043752+0.079915
## [255] train-mlogloss:0.008608+0.000083 test-mlogloss:1.044249+0.080164
## [256] train-mlogloss:0.008587+0.000082 test-mlogloss:1.044687+0.080329
## [257] train-mlogloss:0.008565+0.000080 test-mlogloss:1.044850+0.079785
## [258] train-mlogloss:0.008545+0.000080 test-mlogloss:1.045440+0.080178
## [259] train-mlogloss:0.008524+0.000080 test-mlogloss:1.046532+0.081068
## [260] train-mlogloss:0.008504+0.000078 test-mlogloss:1.047018+0.080246
## [261] train-mlogloss:0.008484+0.000080 test-mlogloss:1.047491+0.079840
## [262] train-mlogloss:0.008464+0.000078 test-mlogloss:1.047415+0.079590
## [263] train-mlogloss:0.008444+0.000080 test-mlogloss:1.047454+0.080170
## [264] train-mlogloss:0.008423+0.000080 test-mlogloss:1.048169+0.079351
## [265] train-mlogloss:0.008403+0.000080 test-mlogloss:1.048372+0.079270
## [266] train-mlogloss:0.008384+0.000078 test-mlogloss:1.049008+0.079343
## [267] train-mlogloss:0.008365+0.000080 test-mlogloss:1.049320+0.079456
## [268] train-mlogloss:0.008345+0.000079 test-mlogloss:1.049741+0.080130
## [269] train-mlogloss:0.008327+0.000076 test-mlogloss:1.050236+0.079325
## [270] train-mlogloss:0.008309+0.000074 test-mlogloss:1.049559+0.079042
## [271] train-mlogloss:0.008288+0.000071 test-mlogloss:1.050045+0.078963
## [272] train-mlogloss:0.008267+0.000070 test-mlogloss:1.050373+0.079033
## [273] train-mlogloss:0.008251+0.000069 test-mlogloss:1.050838+0.078631
## [274] train-mlogloss:0.008234+0.000071 test-mlogloss:1.052035+0.078907
## [275] train-mlogloss:0.008216+0.000069 test-mlogloss:1.052047+0.078431
## [276] train-mlogloss:0.008196+0.000070 test-mlogloss:1.052284+0.078561
## [277] train-mlogloss:0.008180+0.000070 test-mlogloss:1.052981+0.078738
## [278] train-mlogloss:0.008160+0.000069 test-mlogloss:1.053206+0.078164
## [279] train-mlogloss:0.008143+0.000070 test-mlogloss:1.052970+0.078719
## [280] train-mlogloss:0.008127+0.000069 test-mlogloss:1.053131+0.078720
## [281] train-mlogloss:0.008108+0.000069 test-mlogloss:1.053472+0.078508
## [282] train-mlogloss:0.008093+0.000068 test-mlogloss:1.054806+0.078944
## [283] train-mlogloss:0.008076+0.000070 test-mlogloss:1.054757+0.079186
## [284] train-mlogloss:0.008059+0.000072 test-mlogloss:1.055216+0.079590
## [285] train-mlogloss:0.008044+0.000075 test-mlogloss:1.055404+0.079610
## [286] train-mlogloss:0.008027+0.000076 test-mlogloss:1.056100+0.080016
## [287] train-mlogloss:0.008010+0.000077 test-mlogloss:1.056227+0.080204
## [288] train-mlogloss:0.007993+0.000076 test-mlogloss:1.057387+0.080382
## [289] train-mlogloss:0.007976+0.000076 test-mlogloss:1.057591+0.080392
## [290] train-mlogloss:0.007960+0.000077 test-mlogloss:1.057674+0.081082
## [291] train-mlogloss:0.007944+0.000078 test-mlogloss:1.058100+0.080750
## [292] train-mlogloss:0.007927+0.000077 test-mlogloss:1.058720+0.080195
## [293] train-mlogloss:0.007910+0.000077 test-mlogloss:1.058773+0.079763
## [294] train-mlogloss:0.007893+0.000076 test-mlogloss:1.059177+0.079864
## [295] train-mlogloss:0.007878+0.000076 test-mlogloss:1.059015+0.079476
## [296] train-mlogloss:0.007861+0.000075 test-mlogloss:1.059644+0.079728
## [297] train-mlogloss:0.007843+0.000074 test-mlogloss:1.060364+0.079484
## [298] train-mlogloss:0.007828+0.000073 test-mlogloss:1.060297+0.079820
## [299] train-mlogloss:0.007812+0.000074 test-mlogloss:1.061385+0.079723
## [300] train-mlogloss:0.007797+0.000075 test-mlogloss:1.061908+0.079788
## [301] train-mlogloss:0.007780+0.000072 test-mlogloss:1.062325+0.079621
## [302] train-mlogloss:0.007767+0.000070 test-mlogloss:1.062702+0.080228
## [303] train-mlogloss:0.007752+0.000071 test-mlogloss:1.063381+0.080391
## [304] train-mlogloss:0.007737+0.000069 test-mlogloss:1.063512+0.080120
## [305] train-mlogloss:0.007723+0.000068 test-mlogloss:1.064589+0.079860
## [306] train-mlogloss:0.007706+0.000066 test-mlogloss:1.064473+0.079755
## [307] train-mlogloss:0.007691+0.000068 test-mlogloss:1.064719+0.079968
## [308] train-mlogloss:0.007676+0.000067 test-mlogloss:1.065055+0.080239
## [309] train-mlogloss:0.007663+0.000068 test-mlogloss:1.064646+0.080186
## [310] train-mlogloss:0.007649+0.000068 test-mlogloss:1.064325+0.079910
## [311] train-mlogloss:0.007634+0.000067 test-mlogloss:1.064801+0.079556
## [312] train-mlogloss:0.007616+0.000068 test-mlogloss:1.065205+0.080004
## [313] train-mlogloss:0.007603+0.000069 test-mlogloss:1.066055+0.080493
## [314] train-mlogloss:0.007588+0.000069 test-mlogloss:1.066137+0.080332
## [315] train-mlogloss:0.007573+0.000069 test-mlogloss:1.066490+0.080993
## [316] train-mlogloss:0.007558+0.000069 test-mlogloss:1.067327+0.081113
## [317] train-mlogloss:0.007544+0.000068 test-mlogloss:1.066727+0.080719
## [318] train-mlogloss:0.007532+0.000067 test-mlogloss:1.066723+0.080758
## [319] train-mlogloss:0.007518+0.000070 test-mlogloss:1.068156+0.081545
## [320] train-mlogloss:0.007504+0.000069 test-mlogloss:1.068431+0.081399
## [321] train-mlogloss:0.007488+0.000071 test-mlogloss:1.068496+0.081160
## [322] train-mlogloss:0.007474+0.000069 test-mlogloss:1.068304+0.081187
## [323] train-mlogloss:0.007461+0.000070 test-mlogloss:1.069424+0.081119
## [324] train-mlogloss:0.007449+0.000069 test-mlogloss:1.068969+0.081780
## [325] train-mlogloss:0.007436+0.000070 test-mlogloss:1.068714+0.081795
## [326] train-mlogloss:0.007423+0.000069 test-mlogloss:1.069044+0.081813
## [327] train-mlogloss:0.007410+0.000068 test-mlogloss:1.069479+0.081495
## [328] train-mlogloss:0.007398+0.000067 test-mlogloss:1.070105+0.081505
## [329] train-mlogloss:0.007384+0.000066 test-mlogloss:1.069988+0.081948
## [330] train-mlogloss:0.007370+0.000066 test-mlogloss:1.070102+0.082030
## [331] train-mlogloss:0.007358+0.000064 test-mlogloss:1.070204+0.082112
## [332] train-mlogloss:0.007345+0.000065 test-mlogloss:1.070601+0.082260
## [333] train-mlogloss:0.007332+0.000066 test-mlogloss:1.070859+0.082245
## [334] train-mlogloss:0.007319+0.000062 test-mlogloss:1.071844+0.081415
## [335] train-mlogloss:0.007305+0.000064 test-mlogloss:1.072337+0.081804
## [336] train-mlogloss:0.007295+0.000065 test-mlogloss:1.072823+0.081823
## [337] train-mlogloss:0.007281+0.000065 test-mlogloss:1.072871+0.081699
## [338] train-mlogloss:0.007270+0.000063 test-mlogloss:1.072778+0.081481
## [339] train-mlogloss:0.007256+0.000063 test-mlogloss:1.073433+0.081058
## [340] train-mlogloss:0.007246+0.000063 test-mlogloss:1.073514+0.081435
## [341] train-mlogloss:0.007234+0.000061 test-mlogloss:1.073726+0.081544
## [342] train-mlogloss:0.007223+0.000060 test-mlogloss:1.074020+0.081403
## [343] train-mlogloss:0.007213+0.000058 test-mlogloss:1.073919+0.080922
## [344] train-mlogloss:0.007200+0.000057 test-mlogloss:1.074784+0.081000
## [345] train-mlogloss:0.007187+0.000059 test-mlogloss:1.075485+0.081266
## [346] train-mlogloss:0.007175+0.000061 test-mlogloss:1.075516+0.080708
## [347] train-mlogloss:0.007162+0.000059 test-mlogloss:1.075206+0.079794
## [348] train-mlogloss:0.007152+0.000059 test-mlogloss:1.075694+0.079808
## [349] train-mlogloss:0.007142+0.000057 test-mlogloss:1.075487+0.079327
## [350] train-mlogloss:0.007130+0.000057 test-mlogloss:1.075635+0.079408
## [351] train-mlogloss:0.007116+0.000058 test-mlogloss:1.076086+0.079581
## [352] train-mlogloss:0.007104+0.000057 test-mlogloss:1.076082+0.080096
## [353] train-mlogloss:0.007094+0.000058 test-mlogloss:1.077094+0.080615
## [354] train-mlogloss:0.007083+0.000058 test-mlogloss:1.075909+0.080522
## [355] train-mlogloss:0.007070+0.000059 test-mlogloss:1.076317+0.080076
## [356] train-mlogloss:0.007058+0.000061 test-mlogloss:1.077189+0.080643
## [357] train-mlogloss:0.007044+0.000061 test-mlogloss:1.077304+0.080898
## [358] train-mlogloss:0.007033+0.000063 test-mlogloss:1.077521+0.080763
## [359] train-mlogloss:0.007022+0.000064 test-mlogloss:1.077813+0.079803
## [360] train-mlogloss:0.007010+0.000064 test-mlogloss:1.077863+0.080801
## [361] train-mlogloss:0.006999+0.000065 test-mlogloss:1.077994+0.080621
## [362] train-mlogloss:0.006987+0.000065 test-mlogloss:1.078247+0.081357
## [363] train-mlogloss:0.006977+0.000066 test-mlogloss:1.078552+0.080853
## [364] train-mlogloss:0.006962+0.000065 test-mlogloss:1.078688+0.080444
## [365] train-mlogloss:0.006952+0.000064 test-mlogloss:1.078707+0.080618
## [366] train-mlogloss:0.006942+0.000064 test-mlogloss:1.078730+0.080590
## [367] train-mlogloss:0.006929+0.000064 test-mlogloss:1.079800+0.080316
## [368] train-mlogloss:0.006917+0.000064 test-mlogloss:1.079960+0.080767
## [369] train-mlogloss:0.006908+0.000063 test-mlogloss:1.080745+0.080726
## [370] train-mlogloss:0.006897+0.000063 test-mlogloss:1.081163+0.080490
## [371] train-mlogloss:0.006885+0.000061 test-mlogloss:1.081359+0.080548
## [372] train-mlogloss:0.006875+0.000061 test-mlogloss:1.081972+0.080940
## [373] train-mlogloss:0.006864+0.000061 test-mlogloss:1.082427+0.081038
## [374] train-mlogloss:0.006853+0.000059 test-mlogloss:1.082265+0.081339
## [375] train-mlogloss:0.006844+0.000060 test-mlogloss:1.082075+0.080979
## [376] train-mlogloss:0.006834+0.000061 test-mlogloss:1.082090+0.081191
## [377] train-mlogloss:0.006824+0.000061 test-mlogloss:1.082291+0.081082
## [378] train-mlogloss:0.006814+0.000060 test-mlogloss:1.082323+0.081086
## [379] train-mlogloss:0.006806+0.000060 test-mlogloss:1.082457+0.080845
## [380] train-mlogloss:0.006796+0.000060 test-mlogloss:1.082881+0.080344
## [381] train-mlogloss:0.006787+0.000060 test-mlogloss:1.082895+0.080442
## [382] train-mlogloss:0.006775+0.000059 test-mlogloss:1.083562+0.080754
## [383] train-mlogloss:0.006763+0.000059 test-mlogloss:1.083932+0.080863
## [384] train-mlogloss:0.006755+0.000058 test-mlogloss:1.084666+0.080902
## [385] train-mlogloss:0.006745+0.000059 test-mlogloss:1.085114+0.080840
## [386] train-mlogloss:0.006734+0.000060 test-mlogloss:1.084903+0.081209
## [387] train-mlogloss:0.006724+0.000059 test-mlogloss:1.085056+0.081147
## [388] train-mlogloss:0.006713+0.000059 test-mlogloss:1.085147+0.081001
## [389] train-mlogloss:0.006704+0.000059 test-mlogloss:1.085887+0.080643
## [390] train-mlogloss:0.006693+0.000061 test-mlogloss:1.086746+0.080917
## [391] train-mlogloss:0.006686+0.000062 test-mlogloss:1.086703+0.081065
## [392] train-mlogloss:0.006676+0.000062 test-mlogloss:1.087221+0.081307
## [393] train-mlogloss:0.006667+0.000063 test-mlogloss:1.087093+0.081188
## [394] train-mlogloss:0.006657+0.000063 test-mlogloss:1.087022+0.081783
## [395] train-mlogloss:0.006647+0.000062 test-mlogloss:1.087508+0.080998
## [396] train-mlogloss:0.006638+0.000062 test-mlogloss:1.088527+0.080991
## [397] train-mlogloss:0.006629+0.000061 test-mlogloss:1.088237+0.081216
## [398] train-mlogloss:0.006618+0.000062 test-mlogloss:1.089272+0.080769
## [399] train-mlogloss:0.006608+0.000060 test-mlogloss:1.088929+0.080873
## [400] train-mlogloss:0.006600+0.000059 test-mlogloss:1.089131+0.080918
## [401] train-mlogloss:0.006591+0.000060 test-mlogloss:1.089389+0.080970
## [402] train-mlogloss:0.006582+0.000059 test-mlogloss:1.089206+0.080828
## [403] train-mlogloss:0.006572+0.000059 test-mlogloss:1.089310+0.080782
## [404] train-mlogloss:0.006564+0.000059 test-mlogloss:1.089972+0.081037
## [405] train-mlogloss:0.006554+0.000061 test-mlogloss:1.090253+0.081249
## [406] train-mlogloss:0.006546+0.000059 test-mlogloss:1.090981+0.081288
## [407] train-mlogloss:0.006537+0.000059 test-mlogloss:1.091533+0.081298
## [408] train-mlogloss:0.006529+0.000060 test-mlogloss:1.090839+0.081258
## [409] train-mlogloss:0.006519+0.000059 test-mlogloss:1.091494+0.080737
## [410] train-mlogloss:0.006510+0.000058 test-mlogloss:1.091811+0.080726
## [411] train-mlogloss:0.006501+0.000059 test-mlogloss:1.091809+0.081364
## [412] train-mlogloss:0.006492+0.000059 test-mlogloss:1.092149+0.080973
## [413] train-mlogloss:0.006483+0.000058 test-mlogloss:1.091994+0.081486
## [414] train-mlogloss:0.006475+0.000058 test-mlogloss:1.092057+0.081438
## [415] train-mlogloss:0.006467+0.000058 test-mlogloss:1.092605+0.081297
## [416] train-mlogloss:0.006458+0.000057 test-mlogloss:1.092313+0.081341
## [417] train-mlogloss:0.006449+0.000057 test-mlogloss:1.093038+0.081901
## [418] train-mlogloss:0.006441+0.000058 test-mlogloss:1.092927+0.081684
## [419] train-mlogloss:0.006434+0.000055 test-mlogloss:1.093819+0.081566
## [420] train-mlogloss:0.006425+0.000054 test-mlogloss:1.093352+0.081553
## [421] train-mlogloss:0.006417+0.000054 test-mlogloss:1.093786+0.081569
## [422] train-mlogloss:0.006407+0.000053 test-mlogloss:1.093850+0.081625
## [423] train-mlogloss:0.006399+0.000054 test-mlogloss:1.093874+0.081328
## [424] train-mlogloss:0.006392+0.000054 test-mlogloss:1.093851+0.081113
## [425] train-mlogloss:0.006383+0.000053 test-mlogloss:1.094279+0.081763
## [426] train-mlogloss:0.006375+0.000054 test-mlogloss:1.094962+0.082329
## [427] train-mlogloss:0.006366+0.000054 test-mlogloss:1.095115+0.082153
## [428] train-mlogloss:0.006358+0.000053 test-mlogloss:1.095342+0.081625
## [429] train-mlogloss:0.006349+0.000054 test-mlogloss:1.095451+0.081468
## [430] train-mlogloss:0.006342+0.000052 test-mlogloss:1.095827+0.081514
## [431] train-mlogloss:0.006333+0.000053 test-mlogloss:1.096099+0.080872
## [432] train-mlogloss:0.006326+0.000054 test-mlogloss:1.095735+0.080975
## [433] train-mlogloss:0.006318+0.000052 test-mlogloss:1.096506+0.080514
## [434] train-mlogloss:0.006309+0.000053 test-mlogloss:1.096810+0.080132
## [435] train-mlogloss:0.006302+0.000053 test-mlogloss:1.096960+0.080253
## [436] train-mlogloss:0.006293+0.000054 test-mlogloss:1.097507+0.080420
## [437] train-mlogloss:0.006284+0.000053 test-mlogloss:1.097254+0.080292
## [438] train-mlogloss:0.006275+0.000052 test-mlogloss:1.097535+0.080274
## [439] train-mlogloss:0.006267+0.000052 test-mlogloss:1.097847+0.080332
## [440] train-mlogloss:0.006259+0.000052 test-mlogloss:1.098257+0.080249
## [441] train-mlogloss:0.006251+0.000051 test-mlogloss:1.098174+0.080468
## [442] train-mlogloss:0.006244+0.000052 test-mlogloss:1.098406+0.080826
## [443] train-mlogloss:0.006235+0.000051 test-mlogloss:1.098244+0.080991
## [444] train-mlogloss:0.006229+0.000051 test-mlogloss:1.099220+0.081041
## [445] train-mlogloss:0.006222+0.000051 test-mlogloss:1.098501+0.080833
## [446] train-mlogloss:0.006215+0.000051 test-mlogloss:1.099072+0.080986
## [447] train-mlogloss:0.006207+0.000051 test-mlogloss:1.099043+0.081167
## [448] train-mlogloss:0.006199+0.000050 test-mlogloss:1.100013+0.081285
## [449] train-mlogloss:0.006192+0.000050 test-mlogloss:1.100199+0.081707
## [450] train-mlogloss:0.006185+0.000050 test-mlogloss:1.100642+0.081644
## [451] train-mlogloss:0.006178+0.000048 test-mlogloss:1.101618+0.082071
## [452] train-mlogloss:0.006170+0.000048 test-mlogloss:1.101172+0.082006
## [453] train-mlogloss:0.006163+0.000048 test-mlogloss:1.100585+0.081632
## [454] train-mlogloss:0.006156+0.000048 test-mlogloss:1.101148+0.081838
## [455] train-mlogloss:0.006147+0.000049 test-mlogloss:1.100654+0.082162
## [456] train-mlogloss:0.006140+0.000049 test-mlogloss:1.101381+0.082147
## [457] train-mlogloss:0.006132+0.000050 test-mlogloss:1.101487+0.081708
## [458] train-mlogloss:0.006123+0.000049 test-mlogloss:1.101666+0.081910
## [459] train-mlogloss:0.006117+0.000050 test-mlogloss:1.101272+0.082220
## [460] train-mlogloss:0.006110+0.000048 test-mlogloss:1.101517+0.082205
## [461] train-mlogloss:0.006102+0.000047 test-mlogloss:1.101674+0.082195
## [462] train-mlogloss:0.006095+0.000046 test-mlogloss:1.102521+0.082030
## [463] train-mlogloss:0.006087+0.000046 test-mlogloss:1.102777+0.081352
## [464] train-mlogloss:0.006079+0.000045 test-mlogloss:1.103003+0.080981
## [465] train-mlogloss:0.006073+0.000046 test-mlogloss:1.103910+0.081503
## [466] train-mlogloss:0.006066+0.000046 test-mlogloss:1.103715+0.081196
## [467] train-mlogloss:0.006058+0.000046 test-mlogloss:1.103986+0.081240
## [468] train-mlogloss:0.006052+0.000047 test-mlogloss:1.104269+0.081687
## [469] train-mlogloss:0.006044+0.000046 test-mlogloss:1.104003+0.081262
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## [475] train-mlogloss:0.005999+0.000046 test-mlogloss:1.105836+0.081587
## [476] train-mlogloss:0.005992+0.000045 test-mlogloss:1.106007+0.081405
## [477] train-mlogloss:0.005984+0.000046 test-mlogloss:1.106228+0.081534
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## [479] train-mlogloss:0.005973+0.000045 test-mlogloss:1.106879+0.081373
## [480] train-mlogloss:0.005967+0.000045 test-mlogloss:1.107329+0.081810
## [481] train-mlogloss:0.005960+0.000043 test-mlogloss:1.107290+0.082127
## [482] train-mlogloss:0.005953+0.000044 test-mlogloss:1.107792+0.081677
## [483] train-mlogloss:0.005945+0.000043 test-mlogloss:1.107792+0.081969
## [484] train-mlogloss:0.005939+0.000043 test-mlogloss:1.108800+0.082011
## [485] train-mlogloss:0.005933+0.000044 test-mlogloss:1.108951+0.081648
## [486] train-mlogloss:0.005926+0.000043 test-mlogloss:1.109070+0.081708
## [487] train-mlogloss:0.005919+0.000044 test-mlogloss:1.109545+0.082271
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## [489] train-mlogloss:0.005905+0.000044 test-mlogloss:1.109878+0.081901
## [490] train-mlogloss:0.005897+0.000044 test-mlogloss:1.110759+0.081791
## [491] train-mlogloss:0.005892+0.000043 test-mlogloss:1.110547+0.082391
## [492] train-mlogloss:0.005886+0.000044 test-mlogloss:1.110404+0.081918
## [493] train-mlogloss:0.005879+0.000045 test-mlogloss:1.111149+0.081886
## [494] train-mlogloss:0.005873+0.000045 test-mlogloss:1.110698+0.081771
## [495] train-mlogloss:0.005868+0.000045 test-mlogloss:1.110750+0.081932
## [496] train-mlogloss:0.005862+0.000045 test-mlogloss:1.110747+0.081797
## [497] train-mlogloss:0.005855+0.000045 test-mlogloss:1.111407+0.082140
## [498] train-mlogloss:0.005847+0.000043 test-mlogloss:1.111562+0.082228
## [499] train-mlogloss:0.005840+0.000042 test-mlogloss:1.111450+0.082447
## [500] train-mlogloss:0.005836+0.000042 test-mlogloss:1.111647+0.082376
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## [2] train-mlogloss:0.502696+0.003668 test-mlogloss:0.544142+0.009047
## [3] train-mlogloss:0.492934+0.004590 test-mlogloss:0.546646+0.009988
## [4] train-mlogloss:0.484046+0.006017 test-mlogloss:0.549999+0.010941
## [5] train-mlogloss:0.476724+0.004508 test-mlogloss:0.553719+0.008621
## [6] train-mlogloss:0.469246+0.004326 test-mlogloss:0.557568+0.007888
## [7] train-mlogloss:0.458804+0.003342 test-mlogloss:0.563490+0.011199
## [8] train-mlogloss:0.450718+0.002731 test-mlogloss:0.566463+0.011005
## [9] train-mlogloss:0.442572+0.002847 test-mlogloss:0.568625+0.013800
## [10] train-mlogloss:0.435875+0.003735 test-mlogloss:0.572554+0.015231
## [11] train-mlogloss:0.429740+0.003264 test-mlogloss:0.575210+0.015380
## [12] train-mlogloss:0.423399+0.002501 test-mlogloss:0.577976+0.016617
## [13] train-mlogloss:0.415907+0.002675 test-mlogloss:0.582175+0.016419
## [14] train-mlogloss:0.408618+0.003828 test-mlogloss:0.585159+0.015114
## [15] train-mlogloss:0.404340+0.003597 test-mlogloss:0.586424+0.014615
## [16] train-mlogloss:0.396276+0.004652 test-mlogloss:0.588933+0.014255
## [17] train-mlogloss:0.388577+0.004048 test-mlogloss:0.594038+0.015272
## [18] train-mlogloss:0.381854+0.002806 test-mlogloss:0.598070+0.014585
## [19] train-mlogloss:0.374978+0.003315 test-mlogloss:0.602895+0.015841
## [20] train-mlogloss:0.368702+0.002835 test-mlogloss:0.605829+0.016482
## [21] train-mlogloss:0.362627+0.003441 test-mlogloss:0.609870+0.015562
## [22] train-mlogloss:0.357698+0.003816 test-mlogloss:0.612688+0.014896
## [23] train-mlogloss:0.352779+0.004242 test-mlogloss:0.617238+0.015058
## [24] train-mlogloss:0.346331+0.004697 test-mlogloss:0.620303+0.016901
## [25] train-mlogloss:0.340787+0.005381 test-mlogloss:0.621419+0.017663
## [26] train-mlogloss:0.335835+0.006197 test-mlogloss:0.625631+0.016448
## [27] train-mlogloss:0.329886+0.006043 test-mlogloss:0.627979+0.015568
## [28] train-mlogloss:0.324558+0.005115 test-mlogloss:0.631375+0.016013
## [29] train-mlogloss:0.319033+0.004544 test-mlogloss:0.634002+0.016033
## [30] train-mlogloss:0.312982+0.003981 test-mlogloss:0.635457+0.014735
## [31] train-mlogloss:0.307739+0.004316 test-mlogloss:0.641086+0.013109
## [32] train-mlogloss:0.302504+0.004153 test-mlogloss:0.643971+0.013834
## [33] train-mlogloss:0.298141+0.004136 test-mlogloss:0.643669+0.014620
## [34] train-mlogloss:0.292736+0.002939 test-mlogloss:0.647483+0.014927
## [35] train-mlogloss:0.288067+0.003213 test-mlogloss:0.650399+0.014801
## [36] train-mlogloss:0.283607+0.002636 test-mlogloss:0.654073+0.014832
## [37] train-mlogloss:0.279539+0.002403 test-mlogloss:0.656840+0.015793
## [38] train-mlogloss:0.275689+0.002720 test-mlogloss:0.658900+0.016212
## [39] train-mlogloss:0.271712+0.004345 test-mlogloss:0.660674+0.015192
## [40] train-mlogloss:0.267188+0.005588 test-mlogloss:0.664045+0.017113
## [41] train-mlogloss:0.263131+0.005793 test-mlogloss:0.666165+0.016832
## [42] train-mlogloss:0.258506+0.005576 test-mlogloss:0.668832+0.016695
## [43] train-mlogloss:0.254151+0.006463 test-mlogloss:0.671783+0.014546
## [44] train-mlogloss:0.250323+0.006418 test-mlogloss:0.674172+0.014298
## [45] train-mlogloss:0.245921+0.007028 test-mlogloss:0.676626+0.013938
## [46] train-mlogloss:0.242245+0.006634 test-mlogloss:0.678544+0.013687
## [47] train-mlogloss:0.238790+0.006752 test-mlogloss:0.680100+0.013941
## [48] train-mlogloss:0.235353+0.006245 test-mlogloss:0.684014+0.013910
## [49] train-mlogloss:0.231883+0.006210 test-mlogloss:0.686764+0.013836
## [50] train-mlogloss:0.228616+0.005841 test-mlogloss:0.688407+0.013492
## [51] train-mlogloss:0.225271+0.005495 test-mlogloss:0.691495+0.013711
## [52] train-mlogloss:0.222365+0.005241 test-mlogloss:0.695241+0.013306
## [53] train-mlogloss:0.218951+0.005381 test-mlogloss:0.697034+0.011883
## [54] train-mlogloss:0.214955+0.004841 test-mlogloss:0.698038+0.011570
## [55] train-mlogloss:0.212066+0.005283 test-mlogloss:0.700011+0.011895
## [56] train-mlogloss:0.209004+0.005083 test-mlogloss:0.703086+0.011716
## [57] train-mlogloss:0.206076+0.005145 test-mlogloss:0.706107+0.011650
## [58] train-mlogloss:0.202305+0.004456 test-mlogloss:0.708553+0.011135
## [59] train-mlogloss:0.199366+0.004755 test-mlogloss:0.710669+0.010578
## [60] train-mlogloss:0.196847+0.005037 test-mlogloss:0.712434+0.012037
## [61] train-mlogloss:0.194441+0.004798 test-mlogloss:0.716420+0.012807
## [62] train-mlogloss:0.191077+0.004140 test-mlogloss:0.719767+0.012088
## [63] train-mlogloss:0.188169+0.003962 test-mlogloss:0.722324+0.012159
## [64] train-mlogloss:0.185064+0.003066 test-mlogloss:0.725675+0.013053
## [65] train-mlogloss:0.181992+0.003075 test-mlogloss:0.729254+0.012902
## [66] train-mlogloss:0.179532+0.003731 test-mlogloss:0.728803+0.011540
## [67] train-mlogloss:0.177312+0.004217 test-mlogloss:0.731618+0.012490
## [68] train-mlogloss:0.174732+0.003937 test-mlogloss:0.732446+0.012496
## [69] train-mlogloss:0.171955+0.003776 test-mlogloss:0.736233+0.013778
## [70] train-mlogloss:0.169637+0.003744 test-mlogloss:0.738465+0.012623
## [71] train-mlogloss:0.166932+0.003556 test-mlogloss:0.741239+0.012946
## [72] train-mlogloss:0.164249+0.003973 test-mlogloss:0.743059+0.013809
## [73] train-mlogloss:0.161694+0.003889 test-mlogloss:0.746113+0.011726
## [74] train-mlogloss:0.159124+0.004054 test-mlogloss:0.746407+0.010870
## [75] train-mlogloss:0.156575+0.004599 test-mlogloss:0.748476+0.011278
## [76] train-mlogloss:0.154220+0.004596 test-mlogloss:0.751073+0.012213
## [77] train-mlogloss:0.151839+0.005172 test-mlogloss:0.754183+0.012318
## [78] train-mlogloss:0.149953+0.004974 test-mlogloss:0.756260+0.012480
## [79] train-mlogloss:0.147863+0.004839 test-mlogloss:0.757893+0.011703
## [80] train-mlogloss:0.145467+0.004587 test-mlogloss:0.760227+0.012928
## [81] train-mlogloss:0.143584+0.004511 test-mlogloss:0.761876+0.012965
## [82] train-mlogloss:0.141176+0.004611 test-mlogloss:0.763356+0.013161
## [83] train-mlogloss:0.139421+0.004749 test-mlogloss:0.767347+0.012650
## [84] train-mlogloss:0.137361+0.004955 test-mlogloss:0.768384+0.012617
## [85] train-mlogloss:0.135230+0.004942 test-mlogloss:0.770709+0.012814
## [86] train-mlogloss:0.132937+0.005251 test-mlogloss:0.775146+0.014418
## [87] train-mlogloss:0.131142+0.004970 test-mlogloss:0.776566+0.014333
## [88] train-mlogloss:0.129043+0.004906 test-mlogloss:0.779097+0.013331
## [89] train-mlogloss:0.127329+0.004561 test-mlogloss:0.781747+0.013443
## [90] train-mlogloss:0.125616+0.004730 test-mlogloss:0.784503+0.012441
## [91] train-mlogloss:0.123914+0.004474 test-mlogloss:0.787637+0.012860
## [92] train-mlogloss:0.122033+0.004458 test-mlogloss:0.789565+0.014763
## [93] train-mlogloss:0.120512+0.004305 test-mlogloss:0.789857+0.016242
## [94] train-mlogloss:0.118518+0.004156 test-mlogloss:0.791215+0.018898
## [95] train-mlogloss:0.116610+0.003786 test-mlogloss:0.791664+0.017435
## [96] train-mlogloss:0.115010+0.004001 test-mlogloss:0.794350+0.016667
## [97] train-mlogloss:0.113519+0.003720 test-mlogloss:0.798242+0.018636
## [98] train-mlogloss:0.112101+0.003718 test-mlogloss:0.799049+0.017545
## [99] train-mlogloss:0.110400+0.003597 test-mlogloss:0.800932+0.017740
## [100] train-mlogloss:0.109081+0.003621 test-mlogloss:0.804062+0.017328
## [101] train-mlogloss:0.107487+0.003613 test-mlogloss:0.806586+0.016183
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## [104] train-mlogloss:0.103068+0.003383 test-mlogloss:0.812509+0.018487
## [105] train-mlogloss:0.101791+0.003404 test-mlogloss:0.814837+0.017902
## [106] train-mlogloss:0.100802+0.003467 test-mlogloss:0.816146+0.018265
## [107] train-mlogloss:0.099546+0.003075 test-mlogloss:0.818384+0.017193
## [108] train-mlogloss:0.098134+0.003491 test-mlogloss:0.821349+0.016464
## [109] train-mlogloss:0.096932+0.003558 test-mlogloss:0.823027+0.015901
## [110] train-mlogloss:0.095457+0.003668 test-mlogloss:0.825064+0.016064
## [111] train-mlogloss:0.094135+0.003643 test-mlogloss:0.825515+0.015181
## [112] train-mlogloss:0.092972+0.003584 test-mlogloss:0.826074+0.015076
## [113] train-mlogloss:0.091670+0.003333 test-mlogloss:0.828695+0.015847
## [114] train-mlogloss:0.090592+0.003242 test-mlogloss:0.831921+0.015927
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## [125] train-mlogloss:0.078850+0.002641 test-mlogloss:0.848432+0.014920
## [126] train-mlogloss:0.077940+0.002546 test-mlogloss:0.850011+0.016050
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## [137] train-mlogloss:0.068662+0.002518 test-mlogloss:0.874165+0.019590
## [138] train-mlogloss:0.067907+0.002595 test-mlogloss:0.875381+0.019481
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## [182] train-mlogloss:0.043199+0.000837 test-mlogloss:0.945718+0.034392
## [183] train-mlogloss:0.042815+0.000821 test-mlogloss:0.946972+0.034478
## [184] train-mlogloss:0.042438+0.000745 test-mlogloss:0.949407+0.033942
## [185] train-mlogloss:0.042089+0.000744 test-mlogloss:0.949879+0.033625
## [186] train-mlogloss:0.041715+0.000655 test-mlogloss:0.952481+0.034518
## [187] train-mlogloss:0.041294+0.000654 test-mlogloss:0.953499+0.034582
## [188] train-mlogloss:0.040935+0.000654 test-mlogloss:0.954851+0.035409
## [189] train-mlogloss:0.040621+0.000688 test-mlogloss:0.955453+0.035286
## [190] train-mlogloss:0.040310+0.000731 test-mlogloss:0.957886+0.036314
## [191] train-mlogloss:0.040030+0.000752 test-mlogloss:0.959406+0.036907
## [192] train-mlogloss:0.039691+0.000734 test-mlogloss:0.960280+0.036012
## [193] train-mlogloss:0.039364+0.000757 test-mlogloss:0.961613+0.035512
## [194] train-mlogloss:0.039047+0.000786 test-mlogloss:0.962133+0.036334
## [195] train-mlogloss:0.038695+0.000798 test-mlogloss:0.962712+0.035656
## [196] train-mlogloss:0.038401+0.000799 test-mlogloss:0.963915+0.036085
## [197] train-mlogloss:0.038011+0.000793 test-mlogloss:0.964982+0.035826
## [198] train-mlogloss:0.037673+0.000747 test-mlogloss:0.965655+0.036667
## [199] train-mlogloss:0.037369+0.000690 test-mlogloss:0.966788+0.037606
## [200] train-mlogloss:0.037102+0.000723 test-mlogloss:0.968117+0.036878
## [201] train-mlogloss:0.036783+0.000673 test-mlogloss:0.969083+0.037181
## [202] train-mlogloss:0.036544+0.000642 test-mlogloss:0.970571+0.037498
## [203] train-mlogloss:0.036275+0.000656 test-mlogloss:0.971195+0.038038
## [204] train-mlogloss:0.035950+0.000590 test-mlogloss:0.972807+0.037021
## [205] train-mlogloss:0.035750+0.000610 test-mlogloss:0.973595+0.036858
## [206] train-mlogloss:0.035404+0.000588 test-mlogloss:0.974584+0.036132
## [207] train-mlogloss:0.035135+0.000564 test-mlogloss:0.974329+0.036137
## [208] train-mlogloss:0.034879+0.000560 test-mlogloss:0.975167+0.035606
## [209] train-mlogloss:0.034643+0.000586 test-mlogloss:0.975449+0.036174
## [210] train-mlogloss:0.034371+0.000560 test-mlogloss:0.977730+0.035767
## [211] train-mlogloss:0.034109+0.000582 test-mlogloss:0.978949+0.035529
## [212] train-mlogloss:0.033815+0.000591 test-mlogloss:0.979179+0.036414
## [213] train-mlogloss:0.033507+0.000593 test-mlogloss:0.980374+0.036933
## [214] train-mlogloss:0.033327+0.000622 test-mlogloss:0.980547+0.036356
## [215] train-mlogloss:0.033095+0.000624 test-mlogloss:0.982314+0.036044
## [216] train-mlogloss:0.032861+0.000625 test-mlogloss:0.983597+0.036514
## [217] train-mlogloss:0.032609+0.000631 test-mlogloss:0.984587+0.035564
## [218] train-mlogloss:0.032356+0.000655 test-mlogloss:0.985697+0.036591
## [219] train-mlogloss:0.032089+0.000610 test-mlogloss:0.987077+0.035278
## [220] train-mlogloss:0.031859+0.000632 test-mlogloss:0.988249+0.034726
## [221] train-mlogloss:0.031563+0.000614 test-mlogloss:0.989586+0.035580
## [222] train-mlogloss:0.031238+0.000608 test-mlogloss:0.990724+0.035460
## [223] train-mlogloss:0.030978+0.000600 test-mlogloss:0.993911+0.035266
## [224] train-mlogloss:0.030752+0.000554 test-mlogloss:0.994448+0.036075
## [225] train-mlogloss:0.030544+0.000612 test-mlogloss:0.996152+0.035045
## [226] train-mlogloss:0.030339+0.000625 test-mlogloss:0.996581+0.035714
## [227] train-mlogloss:0.030102+0.000611 test-mlogloss:0.998096+0.036915
## [228] train-mlogloss:0.029887+0.000636 test-mlogloss:0.999274+0.036617
## [229] train-mlogloss:0.029639+0.000667 test-mlogloss:1.001718+0.037856
## [230] train-mlogloss:0.029431+0.000646 test-mlogloss:1.003357+0.038696
## [231] train-mlogloss:0.029224+0.000629 test-mlogloss:1.004155+0.038796
## [232] train-mlogloss:0.029078+0.000602 test-mlogloss:1.005319+0.038216
## [233] train-mlogloss:0.028861+0.000577 test-mlogloss:1.006702+0.038094
## [234] train-mlogloss:0.028679+0.000593 test-mlogloss:1.008237+0.037998
## [235] train-mlogloss:0.028475+0.000636 test-mlogloss:1.009528+0.038404
## [236] train-mlogloss:0.028302+0.000619 test-mlogloss:1.010973+0.038817
## [237] train-mlogloss:0.028116+0.000635 test-mlogloss:1.012069+0.039967
## [238] train-mlogloss:0.027943+0.000599 test-mlogloss:1.012958+0.040420
## [239] train-mlogloss:0.027726+0.000621 test-mlogloss:1.014330+0.040709
## [240] train-mlogloss:0.027570+0.000665 test-mlogloss:1.014697+0.040452
## [241] train-mlogloss:0.027412+0.000634 test-mlogloss:1.014318+0.040663
## [242] train-mlogloss:0.027220+0.000662 test-mlogloss:1.016467+0.041206
## [243] train-mlogloss:0.027061+0.000659 test-mlogloss:1.018002+0.041409
## [244] train-mlogloss:0.026920+0.000675 test-mlogloss:1.019509+0.041410
## [245] train-mlogloss:0.026713+0.000696 test-mlogloss:1.019471+0.042009
## [246] train-mlogloss:0.026567+0.000678 test-mlogloss:1.020573+0.041555
## [247] train-mlogloss:0.026383+0.000675 test-mlogloss:1.021409+0.042052
## [248] train-mlogloss:0.026200+0.000702 test-mlogloss:1.021678+0.041521
## [249] train-mlogloss:0.026048+0.000712 test-mlogloss:1.022152+0.041618
## [250] train-mlogloss:0.025904+0.000697 test-mlogloss:1.023821+0.041943
## [251] train-mlogloss:0.025761+0.000735 test-mlogloss:1.024736+0.042482
## [252] train-mlogloss:0.025582+0.000735 test-mlogloss:1.026643+0.043778
## [253] train-mlogloss:0.025422+0.000742 test-mlogloss:1.026800+0.043138
## [254] train-mlogloss:0.025274+0.000732 test-mlogloss:1.027103+0.041730
## [255] train-mlogloss:0.025120+0.000683 test-mlogloss:1.028014+0.042080
## [256] train-mlogloss:0.024933+0.000694 test-mlogloss:1.029566+0.042431
## [257] train-mlogloss:0.024771+0.000683 test-mlogloss:1.029983+0.042993
## [258] train-mlogloss:0.024632+0.000695 test-mlogloss:1.029861+0.040997
## [259] train-mlogloss:0.024479+0.000688 test-mlogloss:1.030272+0.041306
## [260] train-mlogloss:0.024367+0.000663 test-mlogloss:1.031893+0.041521
## [261] train-mlogloss:0.024189+0.000655 test-mlogloss:1.033432+0.041448
## [262] train-mlogloss:0.024044+0.000646 test-mlogloss:1.033211+0.040980
## [263] train-mlogloss:0.023910+0.000651 test-mlogloss:1.034563+0.040773
## [264] train-mlogloss:0.023768+0.000660 test-mlogloss:1.034381+0.039910
## [265] train-mlogloss:0.023636+0.000653 test-mlogloss:1.035204+0.039913
## [266] train-mlogloss:0.023493+0.000647 test-mlogloss:1.034914+0.040184
## [267] train-mlogloss:0.023403+0.000669 test-mlogloss:1.035843+0.040271
## [268] train-mlogloss:0.023280+0.000689 test-mlogloss:1.038288+0.040810
## [269] train-mlogloss:0.023139+0.000675 test-mlogloss:1.037928+0.041546
## [270] train-mlogloss:0.023046+0.000686 test-mlogloss:1.038320+0.041683
## [271] train-mlogloss:0.022925+0.000670 test-mlogloss:1.038613+0.042310
## [272] train-mlogloss:0.022800+0.000661 test-mlogloss:1.040197+0.041567
## [273] train-mlogloss:0.022669+0.000661 test-mlogloss:1.041491+0.042063
## [274] train-mlogloss:0.022530+0.000647 test-mlogloss:1.043292+0.042009
## [275] train-mlogloss:0.022398+0.000644 test-mlogloss:1.043814+0.041874
## [276] train-mlogloss:0.022300+0.000623 test-mlogloss:1.044107+0.041510
## [277] train-mlogloss:0.022147+0.000623 test-mlogloss:1.045466+0.042234
## [278] train-mlogloss:0.022047+0.000604 test-mlogloss:1.045041+0.042985
## [279] train-mlogloss:0.021916+0.000590 test-mlogloss:1.045764+0.043268
## [280] train-mlogloss:0.021807+0.000578 test-mlogloss:1.045929+0.043004
## [281] train-mlogloss:0.021692+0.000591 test-mlogloss:1.047339+0.043291
## [282] train-mlogloss:0.021589+0.000588 test-mlogloss:1.048583+0.043884
## [283] train-mlogloss:0.021486+0.000592 test-mlogloss:1.048861+0.043857
## [284] train-mlogloss:0.021368+0.000592 test-mlogloss:1.050425+0.043847
## [285] train-mlogloss:0.021243+0.000608 test-mlogloss:1.052299+0.043696
## [286] train-mlogloss:0.021110+0.000590 test-mlogloss:1.052990+0.043990
## [287] train-mlogloss:0.020999+0.000601 test-mlogloss:1.053903+0.044368
## [288] train-mlogloss:0.020885+0.000585 test-mlogloss:1.054446+0.044306
## [289] train-mlogloss:0.020769+0.000570 test-mlogloss:1.055062+0.045566
## [290] train-mlogloss:0.020672+0.000581 test-mlogloss:1.056434+0.046288
## [291] train-mlogloss:0.020529+0.000585 test-mlogloss:1.057577+0.046611
## [292] train-mlogloss:0.020445+0.000589 test-mlogloss:1.058619+0.046361
## [293] train-mlogloss:0.020351+0.000582 test-mlogloss:1.058954+0.046352
## [294] train-mlogloss:0.020256+0.000580 test-mlogloss:1.060027+0.046306
## [295] train-mlogloss:0.020162+0.000565 test-mlogloss:1.059547+0.046935
## [296] train-mlogloss:0.020059+0.000563 test-mlogloss:1.060237+0.046515
## [297] train-mlogloss:0.019960+0.000555 test-mlogloss:1.061398+0.046498
## [298] train-mlogloss:0.019862+0.000535 test-mlogloss:1.062103+0.045623
## [299] train-mlogloss:0.019777+0.000529 test-mlogloss:1.062408+0.045007
## [300] train-mlogloss:0.019681+0.000525 test-mlogloss:1.063042+0.045543
## [301] train-mlogloss:0.019585+0.000527 test-mlogloss:1.064161+0.045460
## [302] train-mlogloss:0.019489+0.000534 test-mlogloss:1.065972+0.046153
## [303] train-mlogloss:0.019386+0.000521 test-mlogloss:1.066806+0.046138
## [304] train-mlogloss:0.019283+0.000534 test-mlogloss:1.067751+0.046218
## [305] train-mlogloss:0.019182+0.000513 test-mlogloss:1.068526+0.046422
## [306] train-mlogloss:0.019076+0.000494 test-mlogloss:1.068703+0.046402
## [307] train-mlogloss:0.018954+0.000461 test-mlogloss:1.069365+0.046350
## [308] train-mlogloss:0.018851+0.000443 test-mlogloss:1.069925+0.046115
## [309] train-mlogloss:0.018777+0.000450 test-mlogloss:1.071401+0.045632
## [310] train-mlogloss:0.018707+0.000447 test-mlogloss:1.071978+0.046591
## [311] train-mlogloss:0.018616+0.000467 test-mlogloss:1.073696+0.046446
## [312] train-mlogloss:0.018527+0.000488 test-mlogloss:1.073415+0.046268
## [313] train-mlogloss:0.018451+0.000503 test-mlogloss:1.074050+0.046229
## [314] train-mlogloss:0.018350+0.000510 test-mlogloss:1.074818+0.046476
## [315] train-mlogloss:0.018280+0.000507 test-mlogloss:1.075798+0.045774
## [316] train-mlogloss:0.018203+0.000515 test-mlogloss:1.076862+0.045926
## [317] train-mlogloss:0.018127+0.000510 test-mlogloss:1.077509+0.046353
## [318] train-mlogloss:0.018041+0.000519 test-mlogloss:1.078347+0.046212
## [319] train-mlogloss:0.017944+0.000505 test-mlogloss:1.080169+0.047356
## [320] train-mlogloss:0.017859+0.000519 test-mlogloss:1.079992+0.047109
## [321] train-mlogloss:0.017768+0.000530 test-mlogloss:1.080460+0.047405
## [322] train-mlogloss:0.017708+0.000508 test-mlogloss:1.081119+0.048678
## [323] train-mlogloss:0.017616+0.000509 test-mlogloss:1.081355+0.048612
## [324] train-mlogloss:0.017523+0.000508 test-mlogloss:1.082334+0.049394
## [325] train-mlogloss:0.017463+0.000499 test-mlogloss:1.082595+0.047792
## [326] train-mlogloss:0.017389+0.000486 test-mlogloss:1.082884+0.047973
## [327] train-mlogloss:0.017313+0.000482 test-mlogloss:1.083874+0.047671
## [328] train-mlogloss:0.017247+0.000469 test-mlogloss:1.084055+0.047208
## [329] train-mlogloss:0.017182+0.000465 test-mlogloss:1.084133+0.047110
## [330] train-mlogloss:0.017119+0.000466 test-mlogloss:1.085133+0.047783
## [331] train-mlogloss:0.017034+0.000460 test-mlogloss:1.086480+0.047238
## [332] train-mlogloss:0.016961+0.000455 test-mlogloss:1.087415+0.048220
## [333] train-mlogloss:0.016890+0.000451 test-mlogloss:1.087968+0.047726
## [334] train-mlogloss:0.016806+0.000411 test-mlogloss:1.089130+0.048700
## [335] train-mlogloss:0.016733+0.000394 test-mlogloss:1.090183+0.048395
## [336] train-mlogloss:0.016642+0.000396 test-mlogloss:1.090406+0.048424
## [337] train-mlogloss:0.016573+0.000399 test-mlogloss:1.091159+0.049775
## [338] train-mlogloss:0.016485+0.000407 test-mlogloss:1.091996+0.050242
## [339] train-mlogloss:0.016423+0.000402 test-mlogloss:1.092787+0.050111
## [340] train-mlogloss:0.016370+0.000408 test-mlogloss:1.093314+0.050582
## [341] train-mlogloss:0.016306+0.000398 test-mlogloss:1.094502+0.050815
## [342] train-mlogloss:0.016245+0.000393 test-mlogloss:1.094658+0.050594
## [343] train-mlogloss:0.016178+0.000385 test-mlogloss:1.095264+0.050016
## [344] train-mlogloss:0.016106+0.000373 test-mlogloss:1.095846+0.048828
## [345] train-mlogloss:0.016047+0.000380 test-mlogloss:1.097254+0.048566
## [346] train-mlogloss:0.015988+0.000385 test-mlogloss:1.097531+0.049346
## [347] train-mlogloss:0.015923+0.000380 test-mlogloss:1.097672+0.049990
## [348] train-mlogloss:0.015865+0.000380 test-mlogloss:1.098584+0.049880
## [349] train-mlogloss:0.015796+0.000367 test-mlogloss:1.098114+0.048873
## [350] train-mlogloss:0.015728+0.000361 test-mlogloss:1.098504+0.049044
## [351] train-mlogloss:0.015666+0.000358 test-mlogloss:1.099699+0.048579
## [352] train-mlogloss:0.015616+0.000341 test-mlogloss:1.100050+0.049053
## [353] train-mlogloss:0.015558+0.000338 test-mlogloss:1.101342+0.048587
## [354] train-mlogloss:0.015496+0.000331 test-mlogloss:1.100922+0.047892
## [355] train-mlogloss:0.015436+0.000333 test-mlogloss:1.101947+0.047950
## [356] train-mlogloss:0.015387+0.000346 test-mlogloss:1.102016+0.048066
## [357] train-mlogloss:0.015321+0.000341 test-mlogloss:1.101689+0.047290
## [358] train-mlogloss:0.015262+0.000344 test-mlogloss:1.102330+0.048343
## [359] train-mlogloss:0.015203+0.000325 test-mlogloss:1.103164+0.048158
## [360] train-mlogloss:0.015149+0.000326 test-mlogloss:1.103963+0.047779
## [361] train-mlogloss:0.015094+0.000331 test-mlogloss:1.104558+0.047993
## [362] train-mlogloss:0.015037+0.000331 test-mlogloss:1.104083+0.048604
## [363] train-mlogloss:0.014972+0.000324 test-mlogloss:1.104504+0.048106
## [364] train-mlogloss:0.014922+0.000339 test-mlogloss:1.105998+0.047204
## [365] train-mlogloss:0.014869+0.000335 test-mlogloss:1.106196+0.046987
## [366] train-mlogloss:0.014809+0.000343 test-mlogloss:1.106623+0.047514
## [367] train-mlogloss:0.014756+0.000335 test-mlogloss:1.107999+0.047344
## [368] train-mlogloss:0.014694+0.000325 test-mlogloss:1.107913+0.047348
## [369] train-mlogloss:0.014633+0.000326 test-mlogloss:1.108154+0.047247
## [370] train-mlogloss:0.014579+0.000331 test-mlogloss:1.109191+0.047433
## [371] train-mlogloss:0.014513+0.000324 test-mlogloss:1.109916+0.047337
## [372] train-mlogloss:0.014463+0.000320 test-mlogloss:1.110595+0.047980
## [373] train-mlogloss:0.014422+0.000320 test-mlogloss:1.111344+0.048792
## [374] train-mlogloss:0.014371+0.000324 test-mlogloss:1.111204+0.048521
## [375] train-mlogloss:0.014307+0.000321 test-mlogloss:1.111531+0.048732
## [376] train-mlogloss:0.014241+0.000324 test-mlogloss:1.113075+0.048427
## [377] train-mlogloss:0.014187+0.000316 test-mlogloss:1.113619+0.049280
## [378] train-mlogloss:0.014133+0.000316 test-mlogloss:1.113765+0.047946
## [379] train-mlogloss:0.014089+0.000315 test-mlogloss:1.114793+0.047975
## [380] train-mlogloss:0.014040+0.000307 test-mlogloss:1.113953+0.048569
## [381] train-mlogloss:0.013977+0.000297 test-mlogloss:1.114865+0.049073
## [382] train-mlogloss:0.013918+0.000291 test-mlogloss:1.115731+0.049035
## [383] train-mlogloss:0.013876+0.000304 test-mlogloss:1.116162+0.049557
## [384] train-mlogloss:0.013825+0.000320 test-mlogloss:1.116189+0.048956
## [385] train-mlogloss:0.013776+0.000325 test-mlogloss:1.116552+0.049474
## [386] train-mlogloss:0.013730+0.000327 test-mlogloss:1.117317+0.050319
## [387] train-mlogloss:0.013697+0.000323 test-mlogloss:1.118493+0.050378
## [388] train-mlogloss:0.013638+0.000316 test-mlogloss:1.118426+0.049577
## [389] train-mlogloss:0.013586+0.000323 test-mlogloss:1.119316+0.049627
## [390] train-mlogloss:0.013543+0.000317 test-mlogloss:1.119336+0.049688
## [391] train-mlogloss:0.013506+0.000318 test-mlogloss:1.120724+0.049684
## [392] train-mlogloss:0.013461+0.000313 test-mlogloss:1.120614+0.049094
## [393] train-mlogloss:0.013419+0.000310 test-mlogloss:1.122387+0.048891
## [394] train-mlogloss:0.013365+0.000308 test-mlogloss:1.122897+0.049865
## [395] train-mlogloss:0.013307+0.000288 test-mlogloss:1.123448+0.049960
## [396] train-mlogloss:0.013258+0.000298 test-mlogloss:1.123565+0.050688
## [397] train-mlogloss:0.013219+0.000286 test-mlogloss:1.123877+0.050812
## [398] train-mlogloss:0.013184+0.000277 test-mlogloss:1.124898+0.051344
## [399] train-mlogloss:0.013134+0.000275 test-mlogloss:1.124212+0.050095
## [400] train-mlogloss:0.013099+0.000278 test-mlogloss:1.124654+0.050362
## [401] train-mlogloss:0.013053+0.000273 test-mlogloss:1.125437+0.049788
## [402] train-mlogloss:0.013009+0.000265 test-mlogloss:1.126865+0.050520
## [403] train-mlogloss:0.012972+0.000262 test-mlogloss:1.127339+0.050061
## [404] train-mlogloss:0.012930+0.000263 test-mlogloss:1.128014+0.049214
## [405] train-mlogloss:0.012885+0.000256 test-mlogloss:1.128179+0.049245
## [406] train-mlogloss:0.012843+0.000250 test-mlogloss:1.128551+0.049498
## [407] train-mlogloss:0.012803+0.000240 test-mlogloss:1.128971+0.049130
## [408] train-mlogloss:0.012765+0.000239 test-mlogloss:1.129293+0.048995
## [409] train-mlogloss:0.012722+0.000241 test-mlogloss:1.130549+0.049262
## [410] train-mlogloss:0.012681+0.000253 test-mlogloss:1.130825+0.049299
## [411] train-mlogloss:0.012637+0.000252 test-mlogloss:1.130325+0.049424
## [412] train-mlogloss:0.012600+0.000256 test-mlogloss:1.131196+0.049496
## [413] train-mlogloss:0.012556+0.000262 test-mlogloss:1.132078+0.048963
## [414] train-mlogloss:0.012516+0.000262 test-mlogloss:1.132820+0.049292
## [415] train-mlogloss:0.012480+0.000257 test-mlogloss:1.132745+0.049258
## [416] train-mlogloss:0.012432+0.000251 test-mlogloss:1.133690+0.048621
## [417] train-mlogloss:0.012383+0.000240 test-mlogloss:1.134664+0.049869
## [418] train-mlogloss:0.012343+0.000243 test-mlogloss:1.135463+0.050628
## [419] train-mlogloss:0.012303+0.000236 test-mlogloss:1.136068+0.050200
## [420] train-mlogloss:0.012267+0.000233 test-mlogloss:1.135646+0.049517
## [421] train-mlogloss:0.012230+0.000229 test-mlogloss:1.136457+0.049349
## [422] train-mlogloss:0.012191+0.000226 test-mlogloss:1.137088+0.049065
## [423] train-mlogloss:0.012145+0.000225 test-mlogloss:1.138127+0.048478
## [424] train-mlogloss:0.012107+0.000227 test-mlogloss:1.137664+0.047804
## [425] train-mlogloss:0.012066+0.000231 test-mlogloss:1.138297+0.047737
## [426] train-mlogloss:0.012030+0.000232 test-mlogloss:1.138686+0.047999
## [427] train-mlogloss:0.011994+0.000233 test-mlogloss:1.139547+0.048676
## [428] train-mlogloss:0.011956+0.000232 test-mlogloss:1.139398+0.048030
## [429] train-mlogloss:0.011918+0.000225 test-mlogloss:1.139260+0.049443
## [430] train-mlogloss:0.011878+0.000229 test-mlogloss:1.139679+0.049789
## [431] train-mlogloss:0.011842+0.000223 test-mlogloss:1.140495+0.049766
## [432] train-mlogloss:0.011803+0.000234 test-mlogloss:1.140945+0.049895
## [433] train-mlogloss:0.011771+0.000230 test-mlogloss:1.142066+0.050256
## [434] train-mlogloss:0.011740+0.000228 test-mlogloss:1.142086+0.050461
## [435] train-mlogloss:0.011700+0.000227 test-mlogloss:1.142653+0.051218
## [436] train-mlogloss:0.011657+0.000228 test-mlogloss:1.143210+0.050260
## [437] train-mlogloss:0.011620+0.000224 test-mlogloss:1.142642+0.050213
## [438] train-mlogloss:0.011577+0.000231 test-mlogloss:1.143713+0.049846
## [439] train-mlogloss:0.011537+0.000228 test-mlogloss:1.145446+0.050336
## [440] train-mlogloss:0.011509+0.000227 test-mlogloss:1.145590+0.050510
## [441] train-mlogloss:0.011468+0.000212 test-mlogloss:1.145917+0.050909
## [442] train-mlogloss:0.011431+0.000209 test-mlogloss:1.146646+0.050170
## [443] train-mlogloss:0.011392+0.000194 test-mlogloss:1.147166+0.050466
## [444] train-mlogloss:0.011349+0.000185 test-mlogloss:1.147115+0.049749
## [445] train-mlogloss:0.011316+0.000187 test-mlogloss:1.148706+0.049922
## [446] train-mlogloss:0.011279+0.000188 test-mlogloss:1.148926+0.050505
## [447] train-mlogloss:0.011250+0.000184 test-mlogloss:1.148835+0.050767
## [448] train-mlogloss:0.011214+0.000186 test-mlogloss:1.149651+0.051177
## [449] train-mlogloss:0.011172+0.000182 test-mlogloss:1.150120+0.052006
## [450] train-mlogloss:0.011138+0.000182 test-mlogloss:1.150094+0.051666
## [451] train-mlogloss:0.011114+0.000183 test-mlogloss:1.151501+0.051574
## [452] train-mlogloss:0.011076+0.000186 test-mlogloss:1.151684+0.051535
## [453] train-mlogloss:0.011051+0.000187 test-mlogloss:1.152343+0.051577
## [454] train-mlogloss:0.011023+0.000191 test-mlogloss:1.152879+0.050922
## [455] train-mlogloss:0.010981+0.000190 test-mlogloss:1.152886+0.051873
## [456] train-mlogloss:0.010949+0.000189 test-mlogloss:1.153905+0.050618
## [457] train-mlogloss:0.010925+0.000184 test-mlogloss:1.154748+0.051742
## [458] train-mlogloss:0.010902+0.000187 test-mlogloss:1.154104+0.051775
## [459] train-mlogloss:0.010870+0.000177 test-mlogloss:1.155269+0.051548
## [460] train-mlogloss:0.010839+0.000177 test-mlogloss:1.156316+0.051637
## [461] train-mlogloss:0.010803+0.000174 test-mlogloss:1.156601+0.051377
## [462] train-mlogloss:0.010774+0.000168 test-mlogloss:1.157261+0.051652
## [463] train-mlogloss:0.010746+0.000172 test-mlogloss:1.157149+0.051779
## [464] train-mlogloss:0.010712+0.000177 test-mlogloss:1.157269+0.051701
## [465] train-mlogloss:0.010685+0.000170 test-mlogloss:1.158586+0.052223
## [466] train-mlogloss:0.010660+0.000173 test-mlogloss:1.159573+0.051917
## [467] train-mlogloss:0.010626+0.000169 test-mlogloss:1.159662+0.052409
## [468] train-mlogloss:0.010596+0.000164 test-mlogloss:1.159713+0.052237
## [469] train-mlogloss:0.010575+0.000162 test-mlogloss:1.160872+0.051812
## [470] train-mlogloss:0.010546+0.000153 test-mlogloss:1.160726+0.051935
## [471] train-mlogloss:0.010523+0.000154 test-mlogloss:1.161449+0.052311
## [472] train-mlogloss:0.010500+0.000153 test-mlogloss:1.161986+0.051931
## [473] train-mlogloss:0.010472+0.000149 test-mlogloss:1.162389+0.051602
## [474] train-mlogloss:0.010445+0.000146 test-mlogloss:1.163256+0.051408
## [475] train-mlogloss:0.010421+0.000141 test-mlogloss:1.164473+0.051890
## [476] train-mlogloss:0.010391+0.000143 test-mlogloss:1.164413+0.052016
## [477] train-mlogloss:0.010361+0.000141 test-mlogloss:1.164179+0.051218
## [478] train-mlogloss:0.010336+0.000145 test-mlogloss:1.163982+0.050749
## [479] train-mlogloss:0.010308+0.000146 test-mlogloss:1.164948+0.051623
## [480] train-mlogloss:0.010280+0.000145 test-mlogloss:1.164666+0.051190
## [481] train-mlogloss:0.010258+0.000147 test-mlogloss:1.165804+0.050556
## [482] train-mlogloss:0.010228+0.000143 test-mlogloss:1.165850+0.050725
## [483] train-mlogloss:0.010201+0.000146 test-mlogloss:1.166996+0.051506
## [484] train-mlogloss:0.010172+0.000146 test-mlogloss:1.167396+0.050802
## [485] train-mlogloss:0.010140+0.000144 test-mlogloss:1.167760+0.050733
## [486] train-mlogloss:0.010118+0.000143 test-mlogloss:1.168480+0.051256
## [487] train-mlogloss:0.010097+0.000140 test-mlogloss:1.169258+0.051353
## [488] train-mlogloss:0.010073+0.000144 test-mlogloss:1.170123+0.051090
## [489] train-mlogloss:0.010042+0.000140 test-mlogloss:1.170462+0.051927
## [490] train-mlogloss:0.010019+0.000140 test-mlogloss:1.170503+0.051093
## [491] train-mlogloss:0.009998+0.000142 test-mlogloss:1.170690+0.051268
## [492] train-mlogloss:0.009967+0.000140 test-mlogloss:1.170735+0.050941
## [493] train-mlogloss:0.009938+0.000142 test-mlogloss:1.170896+0.051129
## [494] train-mlogloss:0.009912+0.000141 test-mlogloss:1.170404+0.051008
## [495] train-mlogloss:0.009888+0.000146 test-mlogloss:1.171575+0.051579
## [496] train-mlogloss:0.009865+0.000145 test-mlogloss:1.172400+0.051105
## [497] train-mlogloss:0.009839+0.000144 test-mlogloss:1.171123+0.051410
## [498] train-mlogloss:0.009816+0.000147 test-mlogloss:1.172342+0.051061
## [499] train-mlogloss:0.009795+0.000143 test-mlogloss:1.172977+0.050724
## [500] train-mlogloss:0.009775+0.000140 test-mlogloss:1.173950+0.052060
## [1] train-mlogloss:0.429820+0.002388 test-mlogloss:0.583687+0.014701
## [2] train-mlogloss:0.338496+0.002382 test-mlogloss:0.606683+0.018994
## [3] train-mlogloss:0.277717+0.003256 test-mlogloss:0.630561+0.020654
## [4] train-mlogloss:0.234114+0.003076 test-mlogloss:0.653717+0.022488
## [5] train-mlogloss:0.202101+0.003689 test-mlogloss:0.668531+0.025002
## [6] train-mlogloss:0.175355+0.004429 test-mlogloss:0.681034+0.030202
## [7] train-mlogloss:0.153458+0.004405 test-mlogloss:0.696062+0.030768
## [8] train-mlogloss:0.136196+0.003706 test-mlogloss:0.708164+0.033387
## [9] train-mlogloss:0.121613+0.003476 test-mlogloss:0.723388+0.036621
## [10] train-mlogloss:0.109793+0.002627 test-mlogloss:0.732610+0.039002
## [11] train-mlogloss:0.099718+0.002766 test-mlogloss:0.744251+0.043416
## [12] train-mlogloss:0.091950+0.001917 test-mlogloss:0.754379+0.042418
## [13] train-mlogloss:0.084737+0.001827 test-mlogloss:0.762581+0.040669
## [14] train-mlogloss:0.078575+0.001567 test-mlogloss:0.772803+0.041793
## [15] train-mlogloss:0.073474+0.001089 test-mlogloss:0.778797+0.041878
## [16] train-mlogloss:0.068810+0.001213 test-mlogloss:0.783790+0.043030
## [17] train-mlogloss:0.064687+0.000988 test-mlogloss:0.788260+0.043471
## [18] train-mlogloss:0.060933+0.000888 test-mlogloss:0.794567+0.044232
## [19] train-mlogloss:0.057777+0.000899 test-mlogloss:0.800806+0.044229
## [20] train-mlogloss:0.054983+0.000915 test-mlogloss:0.806535+0.043906
## [21] train-mlogloss:0.052315+0.001125 test-mlogloss:0.813123+0.042355
## [22] train-mlogloss:0.049913+0.000965 test-mlogloss:0.818688+0.044047
## [23] train-mlogloss:0.047747+0.000875 test-mlogloss:0.823632+0.042565
## [24] train-mlogloss:0.045865+0.000831 test-mlogloss:0.827882+0.041503
## [25] train-mlogloss:0.044104+0.000822 test-mlogloss:0.833798+0.040427
## [26] train-mlogloss:0.042405+0.000660 test-mlogloss:0.840021+0.039934
## [27] train-mlogloss:0.040882+0.000667 test-mlogloss:0.845499+0.039883
## [28] train-mlogloss:0.039478+0.000699 test-mlogloss:0.846574+0.040680
## [29] train-mlogloss:0.038183+0.000594 test-mlogloss:0.849937+0.039898
## [30] train-mlogloss:0.036994+0.000649 test-mlogloss:0.854315+0.041199
## [31] train-mlogloss:0.035893+0.000645 test-mlogloss:0.858074+0.042298
## [32] train-mlogloss:0.034806+0.000609 test-mlogloss:0.860434+0.042647
## [33] train-mlogloss:0.033804+0.000540 test-mlogloss:0.863594+0.042475
## [34] train-mlogloss:0.032864+0.000532 test-mlogloss:0.866174+0.042720
## [35] train-mlogloss:0.032027+0.000486 test-mlogloss:0.870547+0.042251
## [36] train-mlogloss:0.031151+0.000512 test-mlogloss:0.873989+0.042672
## [37] train-mlogloss:0.030383+0.000460 test-mlogloss:0.876949+0.041476
## [38] train-mlogloss:0.029694+0.000474 test-mlogloss:0.880155+0.041527
## [39] train-mlogloss:0.029034+0.000440 test-mlogloss:0.883923+0.041452
## [40] train-mlogloss:0.028402+0.000401 test-mlogloss:0.886433+0.042714
## [41] train-mlogloss:0.027769+0.000397 test-mlogloss:0.890003+0.044130
## [42] train-mlogloss:0.027203+0.000396 test-mlogloss:0.890955+0.042617
## [43] train-mlogloss:0.026650+0.000402 test-mlogloss:0.892158+0.042444
## [44] train-mlogloss:0.026116+0.000378 test-mlogloss:0.895187+0.041995
## [45] train-mlogloss:0.025622+0.000364 test-mlogloss:0.896196+0.042124
## [46] train-mlogloss:0.025122+0.000348 test-mlogloss:0.899245+0.041439
## [47] train-mlogloss:0.024656+0.000349 test-mlogloss:0.900076+0.041585
## [48] train-mlogloss:0.024232+0.000343 test-mlogloss:0.903933+0.042296
## [49] train-mlogloss:0.023835+0.000348 test-mlogloss:0.905636+0.042421
## [50] train-mlogloss:0.023458+0.000360 test-mlogloss:0.907773+0.041121
## [51] train-mlogloss:0.023099+0.000363 test-mlogloss:0.910841+0.041568
## [52] train-mlogloss:0.022723+0.000354 test-mlogloss:0.914253+0.043198
## [53] train-mlogloss:0.022393+0.000320 test-mlogloss:0.915637+0.043468
## [54] train-mlogloss:0.022063+0.000302 test-mlogloss:0.917334+0.043365
## [55] train-mlogloss:0.021752+0.000285 test-mlogloss:0.917270+0.044536
## [56] train-mlogloss:0.021439+0.000284 test-mlogloss:0.920315+0.045924
## [57] train-mlogloss:0.021127+0.000277 test-mlogloss:0.920751+0.045584
## [58] train-mlogloss:0.020845+0.000280 test-mlogloss:0.922896+0.044967
## [59] train-mlogloss:0.020559+0.000279 test-mlogloss:0.925959+0.045044
## [60] train-mlogloss:0.020281+0.000280 test-mlogloss:0.927143+0.046261
## [61] train-mlogloss:0.020006+0.000284 test-mlogloss:0.929418+0.047737
## [62] train-mlogloss:0.019759+0.000262 test-mlogloss:0.930893+0.047713
## [63] train-mlogloss:0.019495+0.000251 test-mlogloss:0.933468+0.048130
## [64] train-mlogloss:0.019237+0.000243 test-mlogloss:0.935049+0.048456
## [65] train-mlogloss:0.019012+0.000243 test-mlogloss:0.936570+0.048576
## [66] train-mlogloss:0.018766+0.000235 test-mlogloss:0.938597+0.049028
## [67] train-mlogloss:0.018549+0.000226 test-mlogloss:0.940397+0.049223
## [68] train-mlogloss:0.018322+0.000225 test-mlogloss:0.941592+0.049733
## [69] train-mlogloss:0.018134+0.000225 test-mlogloss:0.943250+0.049427
## [70] train-mlogloss:0.017937+0.000232 test-mlogloss:0.945159+0.049055
## [71] train-mlogloss:0.017743+0.000241 test-mlogloss:0.945971+0.049244
## [72] train-mlogloss:0.017540+0.000225 test-mlogloss:0.948907+0.049193
## [73] train-mlogloss:0.017345+0.000231 test-mlogloss:0.949523+0.048543
## [74] train-mlogloss:0.017165+0.000228 test-mlogloss:0.951961+0.048787
## [75] train-mlogloss:0.016984+0.000217 test-mlogloss:0.952778+0.049588
## [76] train-mlogloss:0.016802+0.000223 test-mlogloss:0.954523+0.049666
## [77] train-mlogloss:0.016646+0.000223 test-mlogloss:0.956070+0.050667
## [78] train-mlogloss:0.016490+0.000231 test-mlogloss:0.957573+0.051106
## [79] train-mlogloss:0.016334+0.000223 test-mlogloss:0.958671+0.050874
## [80] train-mlogloss:0.016177+0.000215 test-mlogloss:0.958320+0.050924
## [81] train-mlogloss:0.016033+0.000212 test-mlogloss:0.960936+0.049945
## [82] train-mlogloss:0.015898+0.000217 test-mlogloss:0.962544+0.050645
## [83] train-mlogloss:0.015751+0.000213 test-mlogloss:0.963226+0.049393
## [84] train-mlogloss:0.015612+0.000204 test-mlogloss:0.964644+0.050366
## [85] train-mlogloss:0.015478+0.000203 test-mlogloss:0.965668+0.049984
## [86] train-mlogloss:0.015341+0.000201 test-mlogloss:0.966079+0.050067
## [87] train-mlogloss:0.015226+0.000187 test-mlogloss:0.967197+0.050199
## [88] train-mlogloss:0.015099+0.000189 test-mlogloss:0.968076+0.050716
## [89] train-mlogloss:0.014979+0.000182 test-mlogloss:0.969989+0.050978
## [90] train-mlogloss:0.014861+0.000183 test-mlogloss:0.970202+0.050852
## [91] train-mlogloss:0.014738+0.000190 test-mlogloss:0.969890+0.049697
## [92] train-mlogloss:0.014612+0.000186 test-mlogloss:0.972044+0.049906
## [93] train-mlogloss:0.014504+0.000182 test-mlogloss:0.973086+0.049055
## [94] train-mlogloss:0.014397+0.000165 test-mlogloss:0.975130+0.049665
## [95] train-mlogloss:0.014289+0.000169 test-mlogloss:0.976329+0.050052
## [96] train-mlogloss:0.014178+0.000166 test-mlogloss:0.977557+0.049498
## [97] train-mlogloss:0.014083+0.000168 test-mlogloss:0.979166+0.049626
## [98] train-mlogloss:0.013984+0.000160 test-mlogloss:0.980100+0.049405
## [99] train-mlogloss:0.013878+0.000154 test-mlogloss:0.981088+0.048637
## [100] train-mlogloss:0.013773+0.000155 test-mlogloss:0.981774+0.048490
## [101] train-mlogloss:0.013675+0.000153 test-mlogloss:0.982250+0.048209
## [102] train-mlogloss:0.013577+0.000145 test-mlogloss:0.984819+0.048803
## [103] train-mlogloss:0.013479+0.000132 test-mlogloss:0.984792+0.048622
## [104] train-mlogloss:0.013388+0.000127 test-mlogloss:0.986301+0.049881
## [105] train-mlogloss:0.013301+0.000132 test-mlogloss:0.987736+0.048866
## [106] train-mlogloss:0.013213+0.000127 test-mlogloss:0.988387+0.048955
## [107] train-mlogloss:0.013126+0.000126 test-mlogloss:0.989582+0.048859
## [108] train-mlogloss:0.013037+0.000122 test-mlogloss:0.991032+0.047651
## [109] train-mlogloss:0.012949+0.000117 test-mlogloss:0.991929+0.047852
## [110] train-mlogloss:0.012860+0.000104 test-mlogloss:0.993549+0.047370
## [111] train-mlogloss:0.012791+0.000103 test-mlogloss:0.993315+0.047410
## [112] train-mlogloss:0.012718+0.000101 test-mlogloss:0.994450+0.047852
## [113] train-mlogloss:0.012642+0.000106 test-mlogloss:0.994392+0.047155
## [114] train-mlogloss:0.012560+0.000097 test-mlogloss:0.994673+0.048216
## [115] train-mlogloss:0.012477+0.000092 test-mlogloss:0.994836+0.048374
## [116] train-mlogloss:0.012398+0.000085 test-mlogloss:0.996189+0.048163
## [117] train-mlogloss:0.012328+0.000076 test-mlogloss:0.996388+0.048287
## [118] train-mlogloss:0.012256+0.000073 test-mlogloss:0.997308+0.047385
## [119] train-mlogloss:0.012185+0.000067 test-mlogloss:0.998058+0.047774
## [120] train-mlogloss:0.012112+0.000068 test-mlogloss:0.999246+0.047533
## [121] train-mlogloss:0.012048+0.000065 test-mlogloss:1.000337+0.047179
## [122] train-mlogloss:0.011975+0.000060 test-mlogloss:1.001696+0.047176
## [123] train-mlogloss:0.011903+0.000061 test-mlogloss:1.001329+0.047534
## [124] train-mlogloss:0.011835+0.000062 test-mlogloss:1.002977+0.048089
## [125] train-mlogloss:0.011768+0.000061 test-mlogloss:1.003320+0.047559
## [126] train-mlogloss:0.011704+0.000059 test-mlogloss:1.004552+0.047902
## [127] train-mlogloss:0.011640+0.000061 test-mlogloss:1.005902+0.047922
## [128] train-mlogloss:0.011573+0.000059 test-mlogloss:1.007770+0.047659
## [129] train-mlogloss:0.011509+0.000061 test-mlogloss:1.008709+0.046918
## [130] train-mlogloss:0.011455+0.000058 test-mlogloss:1.009290+0.047290
## [131] train-mlogloss:0.011396+0.000059 test-mlogloss:1.010158+0.046955
## [132] train-mlogloss:0.011335+0.000056 test-mlogloss:1.011621+0.047499
## [133] train-mlogloss:0.011279+0.000058 test-mlogloss:1.012319+0.047545
## [134] train-mlogloss:0.011220+0.000056 test-mlogloss:1.012846+0.047905
## [135] train-mlogloss:0.011157+0.000050 test-mlogloss:1.013664+0.046861
## [136] train-mlogloss:0.011101+0.000045 test-mlogloss:1.014395+0.045833
## [137] train-mlogloss:0.011053+0.000047 test-mlogloss:1.015120+0.045906
## [138] train-mlogloss:0.010997+0.000043 test-mlogloss:1.015807+0.045903
## [139] train-mlogloss:0.010948+0.000052 test-mlogloss:1.016455+0.045938
## [140] train-mlogloss:0.010895+0.000051 test-mlogloss:1.016678+0.046557
## [141] train-mlogloss:0.010838+0.000049 test-mlogloss:1.018268+0.046368
## [142] train-mlogloss:0.010785+0.000050 test-mlogloss:1.018635+0.046881
## [143] train-mlogloss:0.010732+0.000047 test-mlogloss:1.019095+0.046664
## [144] train-mlogloss:0.010689+0.000047 test-mlogloss:1.020470+0.046778
## [145] train-mlogloss:0.010641+0.000046 test-mlogloss:1.020660+0.046252
## [146] train-mlogloss:0.010596+0.000045 test-mlogloss:1.020939+0.046807
## [147] train-mlogloss:0.010542+0.000046 test-mlogloss:1.020677+0.046322
## [148] train-mlogloss:0.010501+0.000047 test-mlogloss:1.021081+0.047069
## [149] train-mlogloss:0.010457+0.000050 test-mlogloss:1.023354+0.047046
## [150] train-mlogloss:0.010407+0.000051 test-mlogloss:1.024203+0.047328
## [151] train-mlogloss:0.010364+0.000044 test-mlogloss:1.024449+0.047869
## [152] train-mlogloss:0.010323+0.000042 test-mlogloss:1.024052+0.048050
## [153] train-mlogloss:0.010280+0.000042 test-mlogloss:1.024732+0.048098
## [154] train-mlogloss:0.010235+0.000046 test-mlogloss:1.025834+0.048562
## [155] train-mlogloss:0.010193+0.000044 test-mlogloss:1.027083+0.049515
## [156] train-mlogloss:0.010150+0.000042 test-mlogloss:1.027314+0.049408
## [157] train-mlogloss:0.010112+0.000044 test-mlogloss:1.027160+0.049071
## [158] train-mlogloss:0.010069+0.000046 test-mlogloss:1.027749+0.049105
## [159] train-mlogloss:0.010034+0.000041 test-mlogloss:1.027798+0.048977
## [160] train-mlogloss:0.009995+0.000043 test-mlogloss:1.028870+0.049171
## [161] train-mlogloss:0.009956+0.000046 test-mlogloss:1.029819+0.049399
## [162] train-mlogloss:0.009918+0.000045 test-mlogloss:1.030298+0.048667
## [163] train-mlogloss:0.009880+0.000043 test-mlogloss:1.030971+0.049453
## [164] train-mlogloss:0.009841+0.000044 test-mlogloss:1.031177+0.049226
## [165] train-mlogloss:0.009804+0.000050 test-mlogloss:1.031559+0.048830
## [166] train-mlogloss:0.009766+0.000045 test-mlogloss:1.032237+0.048377
## [167] train-mlogloss:0.009730+0.000046 test-mlogloss:1.032876+0.047612
## [168] train-mlogloss:0.009692+0.000047 test-mlogloss:1.033626+0.048466
## [169] train-mlogloss:0.009653+0.000045 test-mlogloss:1.034591+0.048314
## [170] train-mlogloss:0.009616+0.000045 test-mlogloss:1.035219+0.049219
## [171] train-mlogloss:0.009579+0.000045 test-mlogloss:1.035818+0.049397
## [172] train-mlogloss:0.009544+0.000047 test-mlogloss:1.036420+0.049553
## [173] train-mlogloss:0.009512+0.000051 test-mlogloss:1.037237+0.050082
## [174] train-mlogloss:0.009478+0.000045 test-mlogloss:1.037325+0.049034
## [175] train-mlogloss:0.009443+0.000043 test-mlogloss:1.038376+0.049726
## [176] train-mlogloss:0.009408+0.000042 test-mlogloss:1.038737+0.050577
## [177] train-mlogloss:0.009377+0.000042 test-mlogloss:1.039699+0.050103
## [178] train-mlogloss:0.009341+0.000047 test-mlogloss:1.040090+0.049540
## [179] train-mlogloss:0.009306+0.000044 test-mlogloss:1.040528+0.049738
## [180] train-mlogloss:0.009274+0.000043 test-mlogloss:1.041102+0.049892
## [181] train-mlogloss:0.009243+0.000045 test-mlogloss:1.042197+0.050054
## [182] train-mlogloss:0.009211+0.000046 test-mlogloss:1.042674+0.050021
## [183] train-mlogloss:0.009178+0.000048 test-mlogloss:1.043486+0.049701
## [184] train-mlogloss:0.009151+0.000047 test-mlogloss:1.043685+0.049696
## [185] train-mlogloss:0.009121+0.000046 test-mlogloss:1.044630+0.049630
## [186] train-mlogloss:0.009088+0.000045 test-mlogloss:1.044314+0.048896
## [187] train-mlogloss:0.009057+0.000044 test-mlogloss:1.044889+0.049683
## [188] train-mlogloss:0.009028+0.000042 test-mlogloss:1.045474+0.049275
## [189] train-mlogloss:0.009000+0.000040 test-mlogloss:1.045854+0.049379
## [190] train-mlogloss:0.008969+0.000042 test-mlogloss:1.045530+0.049295
## [191] train-mlogloss:0.008942+0.000045 test-mlogloss:1.046430+0.049744
## [192] train-mlogloss:0.008909+0.000043 test-mlogloss:1.047178+0.049194
## [193] train-mlogloss:0.008881+0.000049 test-mlogloss:1.048060+0.049779
## [194] train-mlogloss:0.008855+0.000049 test-mlogloss:1.048514+0.050260
## [195] train-mlogloss:0.008825+0.000051 test-mlogloss:1.048658+0.050083
## [196] train-mlogloss:0.008798+0.000050 test-mlogloss:1.049663+0.049307
## [197] train-mlogloss:0.008774+0.000045 test-mlogloss:1.049653+0.049965
## [198] train-mlogloss:0.008749+0.000045 test-mlogloss:1.050064+0.049946
## [199] train-mlogloss:0.008720+0.000049 test-mlogloss:1.050739+0.049365
## [200] train-mlogloss:0.008692+0.000047 test-mlogloss:1.051658+0.049109
## [201] train-mlogloss:0.008665+0.000050 test-mlogloss:1.051775+0.048713
## [202] train-mlogloss:0.008635+0.000051 test-mlogloss:1.053659+0.049228
## [203] train-mlogloss:0.008607+0.000058 test-mlogloss:1.053926+0.049274
## [204] train-mlogloss:0.008582+0.000057 test-mlogloss:1.054006+0.048673
## [205] train-mlogloss:0.008557+0.000057 test-mlogloss:1.055481+0.049201
## [206] train-mlogloss:0.008532+0.000053 test-mlogloss:1.055736+0.048957
## [207] train-mlogloss:0.008503+0.000054 test-mlogloss:1.057411+0.048318
## [208] train-mlogloss:0.008478+0.000053 test-mlogloss:1.057240+0.048629
## [209] train-mlogloss:0.008453+0.000054 test-mlogloss:1.058092+0.048535
## [210] train-mlogloss:0.008429+0.000054 test-mlogloss:1.059010+0.048743
## [211] train-mlogloss:0.008404+0.000052 test-mlogloss:1.059350+0.049027
## [212] train-mlogloss:0.008379+0.000057 test-mlogloss:1.059507+0.049041
## [213] train-mlogloss:0.008356+0.000057 test-mlogloss:1.059632+0.049387
## [214] train-mlogloss:0.008330+0.000052 test-mlogloss:1.059891+0.048504
## [215] train-mlogloss:0.008307+0.000053 test-mlogloss:1.059581+0.048726
## [216] train-mlogloss:0.008280+0.000055 test-mlogloss:1.060751+0.050042
## [217] train-mlogloss:0.008259+0.000053 test-mlogloss:1.060946+0.050055
## [218] train-mlogloss:0.008236+0.000054 test-mlogloss:1.061264+0.050339
## [219] train-mlogloss:0.008213+0.000055 test-mlogloss:1.062340+0.050463
## [220] train-mlogloss:0.008196+0.000054 test-mlogloss:1.063354+0.050513
## [221] train-mlogloss:0.008176+0.000055 test-mlogloss:1.063281+0.050235
## [222] train-mlogloss:0.008158+0.000057 test-mlogloss:1.063827+0.050872
## [223] train-mlogloss:0.008133+0.000054 test-mlogloss:1.064668+0.050604
## [224] train-mlogloss:0.008112+0.000051 test-mlogloss:1.065366+0.050293
## [225] train-mlogloss:0.008090+0.000051 test-mlogloss:1.064734+0.050828
## [226] train-mlogloss:0.008070+0.000050 test-mlogloss:1.065736+0.050996
## [227] train-mlogloss:0.008047+0.000052 test-mlogloss:1.066260+0.050867
## [228] train-mlogloss:0.008025+0.000050 test-mlogloss:1.066352+0.051053
## [229] train-mlogloss:0.008004+0.000053 test-mlogloss:1.066421+0.050426
## [230] train-mlogloss:0.007984+0.000052 test-mlogloss:1.066149+0.050802
## [231] train-mlogloss:0.007963+0.000051 test-mlogloss:1.066743+0.049821
## [232] train-mlogloss:0.007942+0.000053 test-mlogloss:1.067083+0.050360
## [233] train-mlogloss:0.007923+0.000052 test-mlogloss:1.067400+0.049941
## [234] train-mlogloss:0.007902+0.000054 test-mlogloss:1.069139+0.050930
## [235] train-mlogloss:0.007881+0.000053 test-mlogloss:1.068705+0.051307
## [236] train-mlogloss:0.007864+0.000055 test-mlogloss:1.068702+0.051160
## [237] train-mlogloss:0.007843+0.000056 test-mlogloss:1.069749+0.051620
## [238] train-mlogloss:0.007826+0.000057 test-mlogloss:1.070313+0.051152
## [239] train-mlogloss:0.007805+0.000059 test-mlogloss:1.070807+0.051140
## [240] train-mlogloss:0.007786+0.000056 test-mlogloss:1.071352+0.051240
## [241] train-mlogloss:0.007768+0.000056 test-mlogloss:1.072279+0.051480
## [242] train-mlogloss:0.007748+0.000060 test-mlogloss:1.071947+0.051598
## [243] train-mlogloss:0.007730+0.000063 test-mlogloss:1.073189+0.051355
## [244] train-mlogloss:0.007710+0.000062 test-mlogloss:1.073745+0.051386
## [245] train-mlogloss:0.007691+0.000062 test-mlogloss:1.073436+0.051505
## [246] train-mlogloss:0.007673+0.000064 test-mlogloss:1.074091+0.052179
## [247] train-mlogloss:0.007652+0.000064 test-mlogloss:1.074614+0.051969
## [248] train-mlogloss:0.007632+0.000063 test-mlogloss:1.075141+0.052150
## [249] train-mlogloss:0.007615+0.000060 test-mlogloss:1.075618+0.051196
## [250] train-mlogloss:0.007598+0.000059 test-mlogloss:1.076306+0.051346
## [251] train-mlogloss:0.007580+0.000060 test-mlogloss:1.076528+0.051531
## [252] train-mlogloss:0.007562+0.000058 test-mlogloss:1.076690+0.052342
## [253] train-mlogloss:0.007547+0.000056 test-mlogloss:1.076890+0.052092
## [254] train-mlogloss:0.007529+0.000057 test-mlogloss:1.077286+0.052042
## [255] train-mlogloss:0.007511+0.000056 test-mlogloss:1.077679+0.051747
## [256] train-mlogloss:0.007495+0.000054 test-mlogloss:1.078324+0.051740
## [257] train-mlogloss:0.007477+0.000053 test-mlogloss:1.078897+0.050683
## [258] train-mlogloss:0.007463+0.000053 test-mlogloss:1.078851+0.050942
## [259] train-mlogloss:0.007446+0.000052 test-mlogloss:1.078236+0.051000
## [260] train-mlogloss:0.007430+0.000055 test-mlogloss:1.078224+0.050998
## [261] train-mlogloss:0.007411+0.000056 test-mlogloss:1.079016+0.050859
## [262] train-mlogloss:0.007394+0.000057 test-mlogloss:1.079934+0.050277
## [263] train-mlogloss:0.007377+0.000057 test-mlogloss:1.080660+0.051180
## [264] train-mlogloss:0.007361+0.000060 test-mlogloss:1.080566+0.051531
## [265] train-mlogloss:0.007346+0.000061 test-mlogloss:1.080564+0.051537
## [266] train-mlogloss:0.007328+0.000059 test-mlogloss:1.079754+0.051763
## [267] train-mlogloss:0.007315+0.000061 test-mlogloss:1.080128+0.051401
## [268] train-mlogloss:0.007298+0.000063 test-mlogloss:1.080360+0.050728
## [269] train-mlogloss:0.007282+0.000064 test-mlogloss:1.080988+0.051351
## [270] train-mlogloss:0.007268+0.000064 test-mlogloss:1.081445+0.051274
## [271] train-mlogloss:0.007252+0.000065 test-mlogloss:1.082243+0.051287
## [272] train-mlogloss:0.007237+0.000066 test-mlogloss:1.082485+0.051569
## [273] train-mlogloss:0.007222+0.000066 test-mlogloss:1.083143+0.051161
## [274] train-mlogloss:0.007205+0.000068 test-mlogloss:1.083625+0.051454
## [275] train-mlogloss:0.007189+0.000069 test-mlogloss:1.084724+0.051633
## [276] train-mlogloss:0.007174+0.000069 test-mlogloss:1.084844+0.052158
## [277] train-mlogloss:0.007159+0.000070 test-mlogloss:1.084328+0.052268
## [278] train-mlogloss:0.007144+0.000068 test-mlogloss:1.084405+0.052080
## [279] train-mlogloss:0.007129+0.000068 test-mlogloss:1.085478+0.052468
## [280] train-mlogloss:0.007113+0.000066 test-mlogloss:1.085958+0.052361
## [281] train-mlogloss:0.007099+0.000067 test-mlogloss:1.086391+0.052545
## [282] train-mlogloss:0.007084+0.000068 test-mlogloss:1.086902+0.052771
## [283] train-mlogloss:0.007072+0.000065 test-mlogloss:1.086261+0.052560
## [284] train-mlogloss:0.007058+0.000064 test-mlogloss:1.087642+0.052886
## [285] train-mlogloss:0.007043+0.000063 test-mlogloss:1.088051+0.052525
## [286] train-mlogloss:0.007030+0.000062 test-mlogloss:1.088259+0.052656
## [287] train-mlogloss:0.007015+0.000062 test-mlogloss:1.087797+0.052653
## [288] train-mlogloss:0.007000+0.000061 test-mlogloss:1.088281+0.052824
## [289] train-mlogloss:0.006986+0.000061 test-mlogloss:1.087305+0.052950
## [290] train-mlogloss:0.006973+0.000060 test-mlogloss:1.087868+0.053104
## [291] train-mlogloss:0.006959+0.000061 test-mlogloss:1.089046+0.052990
## [292] train-mlogloss:0.006943+0.000063 test-mlogloss:1.089278+0.053492
## [293] train-mlogloss:0.006926+0.000059 test-mlogloss:1.089425+0.053163
## [294] train-mlogloss:0.006914+0.000059 test-mlogloss:1.089221+0.053129
## [295] train-mlogloss:0.006900+0.000058 test-mlogloss:1.089716+0.053347
## [296] train-mlogloss:0.006887+0.000058 test-mlogloss:1.089961+0.053055
## [297] train-mlogloss:0.006874+0.000058 test-mlogloss:1.090606+0.052819
## [298] train-mlogloss:0.006863+0.000060 test-mlogloss:1.090481+0.052816
## [299] train-mlogloss:0.006849+0.000058 test-mlogloss:1.091674+0.052256
## [300] train-mlogloss:0.006834+0.000058 test-mlogloss:1.091563+0.051972
## [301] train-mlogloss:0.006821+0.000056 test-mlogloss:1.092373+0.051631
## [302] train-mlogloss:0.006808+0.000054 test-mlogloss:1.093059+0.051852
## [303] train-mlogloss:0.006793+0.000054 test-mlogloss:1.093168+0.052733
## [304] train-mlogloss:0.006779+0.000054 test-mlogloss:1.092855+0.052051
## [305] train-mlogloss:0.006765+0.000053 test-mlogloss:1.093088+0.052267
## [306] train-mlogloss:0.006750+0.000052 test-mlogloss:1.093330+0.052188
## [307] train-mlogloss:0.006737+0.000054 test-mlogloss:1.094558+0.052142
## [308] train-mlogloss:0.006724+0.000053 test-mlogloss:1.093566+0.052252
## [309] train-mlogloss:0.006714+0.000055 test-mlogloss:1.093503+0.052192
## [310] train-mlogloss:0.006703+0.000053 test-mlogloss:1.094389+0.053115
## [311] train-mlogloss:0.006691+0.000052 test-mlogloss:1.094997+0.052977
## [312] train-mlogloss:0.006677+0.000054 test-mlogloss:1.094726+0.052921
## [313] train-mlogloss:0.006664+0.000052 test-mlogloss:1.095348+0.052296
## [314] train-mlogloss:0.006652+0.000052 test-mlogloss:1.095160+0.052884
## [315] train-mlogloss:0.006640+0.000051 test-mlogloss:1.096017+0.053137
## [316] train-mlogloss:0.006628+0.000054 test-mlogloss:1.096260+0.052865
## [317] train-mlogloss:0.006616+0.000055 test-mlogloss:1.096656+0.053556
## [318] train-mlogloss:0.006605+0.000053 test-mlogloss:1.095900+0.053125
## [319] train-mlogloss:0.006595+0.000054 test-mlogloss:1.096817+0.052862
## [320] train-mlogloss:0.006582+0.000055 test-mlogloss:1.097197+0.053220
## [321] train-mlogloss:0.006570+0.000056 test-mlogloss:1.096917+0.053646
## [322] train-mlogloss:0.006559+0.000055 test-mlogloss:1.097369+0.053187
## [323] train-mlogloss:0.006547+0.000057 test-mlogloss:1.098367+0.053106
## [324] train-mlogloss:0.006534+0.000057 test-mlogloss:1.098242+0.053106
## [325] train-mlogloss:0.006523+0.000057 test-mlogloss:1.098252+0.053507
## [326] train-mlogloss:0.006513+0.000056 test-mlogloss:1.098491+0.053761
## [327] train-mlogloss:0.006500+0.000055 test-mlogloss:1.099367+0.053599
## [328] train-mlogloss:0.006488+0.000055 test-mlogloss:1.099007+0.053765
## [329] train-mlogloss:0.006479+0.000053 test-mlogloss:1.099100+0.053742
## [330] train-mlogloss:0.006468+0.000052 test-mlogloss:1.099603+0.053729
## [331] train-mlogloss:0.006457+0.000053 test-mlogloss:1.099943+0.053766
## [332] train-mlogloss:0.006446+0.000054 test-mlogloss:1.100484+0.053161
## [333] train-mlogloss:0.006435+0.000054 test-mlogloss:1.100977+0.053631
## [334] train-mlogloss:0.006425+0.000053 test-mlogloss:1.101604+0.053479
## [335] train-mlogloss:0.006415+0.000053 test-mlogloss:1.101985+0.053470
## [336] train-mlogloss:0.006403+0.000051 test-mlogloss:1.102453+0.053902
## [337] train-mlogloss:0.006392+0.000050 test-mlogloss:1.101924+0.053428
## [338] train-mlogloss:0.006382+0.000049 test-mlogloss:1.102682+0.052874
## [339] train-mlogloss:0.006370+0.000049 test-mlogloss:1.102774+0.052271
## [340] train-mlogloss:0.006362+0.000048 test-mlogloss:1.103393+0.052488
## [341] train-mlogloss:0.006349+0.000048 test-mlogloss:1.104144+0.053109
## [342] train-mlogloss:0.006339+0.000046 test-mlogloss:1.104367+0.052978
## [343] train-mlogloss:0.006329+0.000046 test-mlogloss:1.104377+0.053416
## [344] train-mlogloss:0.006320+0.000048 test-mlogloss:1.104224+0.052445
## [345] train-mlogloss:0.006311+0.000048 test-mlogloss:1.104260+0.053001
## [346] train-mlogloss:0.006301+0.000045 test-mlogloss:1.104763+0.052706
## [347] train-mlogloss:0.006291+0.000048 test-mlogloss:1.105659+0.052034
## [348] train-mlogloss:0.006279+0.000050 test-mlogloss:1.105399+0.052805
## [349] train-mlogloss:0.006270+0.000050 test-mlogloss:1.105701+0.052645
## [350] train-mlogloss:0.006262+0.000051 test-mlogloss:1.106318+0.052308
## [351] train-mlogloss:0.006252+0.000050 test-mlogloss:1.106466+0.052132
## [352] train-mlogloss:0.006241+0.000050 test-mlogloss:1.105652+0.052992
## [353] train-mlogloss:0.006230+0.000050 test-mlogloss:1.106433+0.053113
## [354] train-mlogloss:0.006220+0.000049 test-mlogloss:1.105831+0.053544
## [355] train-mlogloss:0.006212+0.000050 test-mlogloss:1.106469+0.053141
## [356] train-mlogloss:0.006202+0.000050 test-mlogloss:1.105859+0.053502
## [357] train-mlogloss:0.006194+0.000049 test-mlogloss:1.106528+0.053943
## [358] train-mlogloss:0.006186+0.000051 test-mlogloss:1.106722+0.053539
## [359] train-mlogloss:0.006175+0.000049 test-mlogloss:1.106700+0.053531
## [360] train-mlogloss:0.006166+0.000050 test-mlogloss:1.106159+0.054248
## [361] train-mlogloss:0.006158+0.000051 test-mlogloss:1.106460+0.054268
## [362] train-mlogloss:0.006149+0.000051 test-mlogloss:1.106732+0.053568
## [363] train-mlogloss:0.006139+0.000049 test-mlogloss:1.106930+0.053450
## [364] train-mlogloss:0.006127+0.000048 test-mlogloss:1.106906+0.053503
## [365] train-mlogloss:0.006119+0.000046 test-mlogloss:1.107415+0.053825
## [366] train-mlogloss:0.006111+0.000046 test-mlogloss:1.108122+0.053608
## [367] train-mlogloss:0.006103+0.000046 test-mlogloss:1.108582+0.054423
## [368] train-mlogloss:0.006094+0.000046 test-mlogloss:1.109424+0.054289
## [369] train-mlogloss:0.006084+0.000045 test-mlogloss:1.110383+0.054599
## [370] train-mlogloss:0.006074+0.000046 test-mlogloss:1.110007+0.054938
## [371] train-mlogloss:0.006065+0.000048 test-mlogloss:1.109343+0.054967
## [372] train-mlogloss:0.006056+0.000047 test-mlogloss:1.110277+0.054983
## [373] train-mlogloss:0.006047+0.000047 test-mlogloss:1.109809+0.054297
## [374] train-mlogloss:0.006039+0.000047 test-mlogloss:1.110442+0.054377
## [375] train-mlogloss:0.006031+0.000046 test-mlogloss:1.111489+0.055185
## [376] train-mlogloss:0.006023+0.000048 test-mlogloss:1.111142+0.054607
## [377] train-mlogloss:0.006013+0.000047 test-mlogloss:1.111106+0.055032
## [378] train-mlogloss:0.006005+0.000048 test-mlogloss:1.110669+0.054706
## [379] train-mlogloss:0.005996+0.000047 test-mlogloss:1.111586+0.054230
## [380] train-mlogloss:0.005986+0.000047 test-mlogloss:1.111765+0.054616
## [381] train-mlogloss:0.005977+0.000048 test-mlogloss:1.112583+0.054064
## [382] train-mlogloss:0.005966+0.000046 test-mlogloss:1.112754+0.054541
## [383] train-mlogloss:0.005956+0.000047 test-mlogloss:1.112792+0.054244
## [384] train-mlogloss:0.005948+0.000047 test-mlogloss:1.113539+0.054302
## [385] train-mlogloss:0.005940+0.000046 test-mlogloss:1.113051+0.053946
## [386] train-mlogloss:0.005931+0.000049 test-mlogloss:1.113619+0.053883
## [387] train-mlogloss:0.005924+0.000050 test-mlogloss:1.113938+0.054248
## [388] train-mlogloss:0.005917+0.000051 test-mlogloss:1.114403+0.053723
## [389] train-mlogloss:0.005909+0.000050 test-mlogloss:1.113762+0.054256
## [390] train-mlogloss:0.005901+0.000048 test-mlogloss:1.114674+0.054355
## [391] train-mlogloss:0.005894+0.000048 test-mlogloss:1.115344+0.054227
## [392] train-mlogloss:0.005886+0.000049 test-mlogloss:1.115300+0.054416
## [393] train-mlogloss:0.005878+0.000047 test-mlogloss:1.116088+0.053956
## [394] train-mlogloss:0.005870+0.000046 test-mlogloss:1.116554+0.053322
## [395] train-mlogloss:0.005860+0.000046 test-mlogloss:1.117276+0.053389
## [396] train-mlogloss:0.005852+0.000046 test-mlogloss:1.117259+0.053583
## [397] train-mlogloss:0.005842+0.000047 test-mlogloss:1.118171+0.054286
## [398] train-mlogloss:0.005836+0.000047 test-mlogloss:1.118178+0.054438
## [399] train-mlogloss:0.005830+0.000047 test-mlogloss:1.118153+0.054769
## [400] train-mlogloss:0.005823+0.000047 test-mlogloss:1.117913+0.054865
## [401] train-mlogloss:0.005814+0.000048 test-mlogloss:1.117917+0.054614
## [402] train-mlogloss:0.005807+0.000048 test-mlogloss:1.118707+0.054977
## [403] train-mlogloss:0.005799+0.000046 test-mlogloss:1.118106+0.055175
## [404] train-mlogloss:0.005792+0.000046 test-mlogloss:1.118409+0.055929
## [405] train-mlogloss:0.005784+0.000048 test-mlogloss:1.118620+0.055546
## [406] train-mlogloss:0.005775+0.000047 test-mlogloss:1.119182+0.054978
## [407] train-mlogloss:0.005766+0.000049 test-mlogloss:1.119585+0.055143
## [408] train-mlogloss:0.005759+0.000049 test-mlogloss:1.120147+0.055361
## [409] train-mlogloss:0.005750+0.000050 test-mlogloss:1.119705+0.055116
## [410] train-mlogloss:0.005742+0.000050 test-mlogloss:1.120370+0.054720
## [411] train-mlogloss:0.005735+0.000049 test-mlogloss:1.120332+0.055735
## [412] train-mlogloss:0.005727+0.000048 test-mlogloss:1.120687+0.055187
## [413] train-mlogloss:0.005720+0.000048 test-mlogloss:1.120353+0.056154
## [414] train-mlogloss:0.005714+0.000049 test-mlogloss:1.120732+0.056487
## [415] train-mlogloss:0.005707+0.000049 test-mlogloss:1.121385+0.055696
## [416] train-mlogloss:0.005699+0.000049 test-mlogloss:1.121742+0.055801
## [417] train-mlogloss:0.005693+0.000049 test-mlogloss:1.120664+0.056148
## [418] train-mlogloss:0.005687+0.000048 test-mlogloss:1.121523+0.055610
## [419] train-mlogloss:0.005678+0.000047 test-mlogloss:1.121635+0.055699
## [420] train-mlogloss:0.005670+0.000048 test-mlogloss:1.121365+0.056446
## [421] train-mlogloss:0.005663+0.000047 test-mlogloss:1.121789+0.056294
## [422] train-mlogloss:0.005656+0.000048 test-mlogloss:1.122052+0.056709
## [423] train-mlogloss:0.005649+0.000048 test-mlogloss:1.122166+0.056645
## [424] train-mlogloss:0.005641+0.000046 test-mlogloss:1.121665+0.056050
## [425] train-mlogloss:0.005633+0.000047 test-mlogloss:1.122284+0.056532
## [426] train-mlogloss:0.005627+0.000047 test-mlogloss:1.122584+0.056245
## [427] train-mlogloss:0.005621+0.000047 test-mlogloss:1.122869+0.056450
## [428] train-mlogloss:0.005614+0.000047 test-mlogloss:1.123222+0.055695
## [429] train-mlogloss:0.005606+0.000046 test-mlogloss:1.123325+0.055503
## [430] train-mlogloss:0.005598+0.000045 test-mlogloss:1.123489+0.055934
## [431] train-mlogloss:0.005593+0.000044 test-mlogloss:1.123444+0.054857
## [432] train-mlogloss:0.005586+0.000044 test-mlogloss:1.124379+0.055037
## [433] train-mlogloss:0.005580+0.000045 test-mlogloss:1.123698+0.055247
## [434] train-mlogloss:0.005572+0.000045 test-mlogloss:1.124207+0.054371
## [435] train-mlogloss:0.005565+0.000045 test-mlogloss:1.123935+0.054789
## [436] train-mlogloss:0.005557+0.000045 test-mlogloss:1.124613+0.054900
## [437] train-mlogloss:0.005550+0.000046 test-mlogloss:1.124498+0.054862
## [438] train-mlogloss:0.005543+0.000043 test-mlogloss:1.125177+0.054603
## [439] train-mlogloss:0.005535+0.000042 test-mlogloss:1.125734+0.054972
## [440] train-mlogloss:0.005529+0.000042 test-mlogloss:1.125723+0.054694
## [441] train-mlogloss:0.005521+0.000042 test-mlogloss:1.125813+0.054902
## [442] train-mlogloss:0.005516+0.000042 test-mlogloss:1.126093+0.054720
## [443] train-mlogloss:0.005508+0.000043 test-mlogloss:1.126486+0.054660
## [444] train-mlogloss:0.005501+0.000043 test-mlogloss:1.126910+0.054851
## [445] train-mlogloss:0.005495+0.000044 test-mlogloss:1.126905+0.055352
## [446] train-mlogloss:0.005489+0.000044 test-mlogloss:1.127493+0.054629
## [447] train-mlogloss:0.005482+0.000045 test-mlogloss:1.127303+0.055002
## [448] train-mlogloss:0.005474+0.000045 test-mlogloss:1.128177+0.053939
## [449] train-mlogloss:0.005467+0.000046 test-mlogloss:1.128096+0.053874
## [450] train-mlogloss:0.005462+0.000045 test-mlogloss:1.128661+0.054386
## [451] train-mlogloss:0.005455+0.000044 test-mlogloss:1.129146+0.054134
## [452] train-mlogloss:0.005449+0.000045 test-mlogloss:1.129054+0.053223
## [453] train-mlogloss:0.005444+0.000045 test-mlogloss:1.128816+0.053581
## [454] train-mlogloss:0.005437+0.000045 test-mlogloss:1.129790+0.054112
## [455] train-mlogloss:0.005431+0.000045 test-mlogloss:1.129908+0.055106
## [456] train-mlogloss:0.005425+0.000044 test-mlogloss:1.130252+0.054931
## [457] train-mlogloss:0.005417+0.000044 test-mlogloss:1.130426+0.054392
## [458] train-mlogloss:0.005409+0.000044 test-mlogloss:1.129920+0.054560
## [459] train-mlogloss:0.005403+0.000044 test-mlogloss:1.130226+0.053916
## [460] train-mlogloss:0.005397+0.000042 test-mlogloss:1.131431+0.053119
## [461] train-mlogloss:0.005391+0.000041 test-mlogloss:1.131399+0.053055
## [462] train-mlogloss:0.005385+0.000043 test-mlogloss:1.131244+0.053772
## [463] train-mlogloss:0.005378+0.000042 test-mlogloss:1.131368+0.053219
## [464] train-mlogloss:0.005373+0.000043 test-mlogloss:1.131956+0.053706
## [465] train-mlogloss:0.005366+0.000042 test-mlogloss:1.131715+0.053453
## [466] train-mlogloss:0.005360+0.000041 test-mlogloss:1.132734+0.053583
## [467] train-mlogloss:0.005355+0.000041 test-mlogloss:1.132716+0.053819
## [468] train-mlogloss:0.005347+0.000041 test-mlogloss:1.133263+0.054616
## [469] train-mlogloss:0.005342+0.000041 test-mlogloss:1.133406+0.054618
## [470] train-mlogloss:0.005335+0.000041 test-mlogloss:1.134161+0.055015
## [471] train-mlogloss:0.005329+0.000040 test-mlogloss:1.134031+0.054986
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## [473] train-mlogloss:0.005318+0.000041 test-mlogloss:1.134340+0.054421
## [474] train-mlogloss:0.005313+0.000041 test-mlogloss:1.135294+0.054824
## [475] train-mlogloss:0.005307+0.000041 test-mlogloss:1.135480+0.054630
## [476] train-mlogloss:0.005302+0.000040 test-mlogloss:1.136079+0.054931
## [477] train-mlogloss:0.005296+0.000041 test-mlogloss:1.135662+0.055272
## [478] train-mlogloss:0.005291+0.000041 test-mlogloss:1.136150+0.055180
## [479] train-mlogloss:0.005285+0.000040 test-mlogloss:1.136229+0.055422
## [480] train-mlogloss:0.005280+0.000040 test-mlogloss:1.136480+0.054957
## [481] train-mlogloss:0.005274+0.000042 test-mlogloss:1.136294+0.055027
## [482] train-mlogloss:0.005268+0.000042 test-mlogloss:1.136475+0.054293
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## [484] train-mlogloss:0.005256+0.000038 test-mlogloss:1.136584+0.053902
## [485] train-mlogloss:0.005249+0.000037 test-mlogloss:1.136848+0.054013
## [486] train-mlogloss:0.005244+0.000037 test-mlogloss:1.136712+0.054145
## [487] train-mlogloss:0.005238+0.000036 test-mlogloss:1.137070+0.055005
## [488] train-mlogloss:0.005232+0.000036 test-mlogloss:1.137159+0.054595
## [489] train-mlogloss:0.005228+0.000036 test-mlogloss:1.137238+0.054583
## [490] train-mlogloss:0.005222+0.000035 test-mlogloss:1.137752+0.054358
## [491] train-mlogloss:0.005215+0.000036 test-mlogloss:1.137760+0.054536
## [492] train-mlogloss:0.005210+0.000035 test-mlogloss:1.137659+0.055148
## [493] train-mlogloss:0.005204+0.000035 test-mlogloss:1.138000+0.054990
## [494] train-mlogloss:0.005200+0.000034 test-mlogloss:1.138222+0.054788
## [495] train-mlogloss:0.005195+0.000034 test-mlogloss:1.138276+0.055044
## [496] train-mlogloss:0.005189+0.000034 test-mlogloss:1.138115+0.054505
## [497] train-mlogloss:0.005184+0.000033 test-mlogloss:1.138709+0.054533
## [498] train-mlogloss:0.005178+0.000032 test-mlogloss:1.138753+0.055523
## [499] train-mlogloss:0.005173+0.000032 test-mlogloss:1.139034+0.054979
## [500] train-mlogloss:0.005168+0.000032 test-mlogloss:1.138890+0.055720
## [1] train-mlogloss:0.614279+0.000563 test-mlogloss:0.621857+0.001594
## [2] train-mlogloss:0.569998+0.000762 test-mlogloss:0.583882+0.001975
## [3] train-mlogloss:0.542479+0.000944 test-mlogloss:0.562868+0.003963
## [4] train-mlogloss:0.525096+0.001090 test-mlogloss:0.550905+0.004267
## [5] train-mlogloss:0.512598+0.001187 test-mlogloss:0.544514+0.005119
## [6] train-mlogloss:0.503242+0.001250 test-mlogloss:0.541168+0.006404
## [7] train-mlogloss:0.496756+0.001418 test-mlogloss:0.538585+0.007334
## [8] train-mlogloss:0.491228+0.001171 test-mlogloss:0.537745+0.006889
## [9] train-mlogloss:0.486958+0.001248 test-mlogloss:0.537125+0.007365
## [10] train-mlogloss:0.483215+0.001212 test-mlogloss:0.537074+0.006815
## [11] train-mlogloss:0.480106+0.001947 test-mlogloss:0.537236+0.006793
## [12] train-mlogloss:0.477552+0.001618 test-mlogloss:0.537507+0.006771
## [13] train-mlogloss:0.475430+0.001352 test-mlogloss:0.537797+0.007065
## [14] train-mlogloss:0.473006+0.001479 test-mlogloss:0.537904+0.007138
## [15] train-mlogloss:0.471164+0.001786 test-mlogloss:0.538309+0.006974
## [16] train-mlogloss:0.468657+0.001331 test-mlogloss:0.539432+0.007716
## [17] train-mlogloss:0.466939+0.001594 test-mlogloss:0.539770+0.007611
## [18] train-mlogloss:0.464485+0.000286 test-mlogloss:0.539646+0.007653
## [19] train-mlogloss:0.461300+0.001500 test-mlogloss:0.540298+0.007208
## [20] train-mlogloss:0.459599+0.001461 test-mlogloss:0.540512+0.007177
## [21] train-mlogloss:0.457872+0.001382 test-mlogloss:0.540852+0.007166
## [22] train-mlogloss:0.455593+0.001377 test-mlogloss:0.541675+0.007261
## [23] train-mlogloss:0.454486+0.001060 test-mlogloss:0.542038+0.006980
## [24] train-mlogloss:0.452857+0.001496 test-mlogloss:0.542764+0.007231
## [25] train-mlogloss:0.450932+0.001488 test-mlogloss:0.543673+0.007375
## [26] train-mlogloss:0.449428+0.001887 test-mlogloss:0.543912+0.007376
## [27] train-mlogloss:0.448617+0.002149 test-mlogloss:0.544057+0.007223
## [28] train-mlogloss:0.446399+0.002130 test-mlogloss:0.544180+0.007077
## [29] train-mlogloss:0.444531+0.001670 test-mlogloss:0.545164+0.006201
## [30] train-mlogloss:0.442189+0.002128 test-mlogloss:0.546567+0.007059
## [31] train-mlogloss:0.439981+0.002506 test-mlogloss:0.547622+0.007840
## [32] train-mlogloss:0.437266+0.003265 test-mlogloss:0.548705+0.008029
## [33] train-mlogloss:0.435572+0.004299 test-mlogloss:0.548842+0.008049
## [34] train-mlogloss:0.433079+0.004700 test-mlogloss:0.549695+0.008103
## [35] train-mlogloss:0.431558+0.005487 test-mlogloss:0.549563+0.008144
## [36] train-mlogloss:0.429026+0.005630 test-mlogloss:0.550459+0.008490
## [37] train-mlogloss:0.426834+0.006066 test-mlogloss:0.550849+0.008729
## [38] train-mlogloss:0.425054+0.005829 test-mlogloss:0.551290+0.008548
## [39] train-mlogloss:0.422418+0.005028 test-mlogloss:0.552405+0.008512
## [40] train-mlogloss:0.419710+0.005157 test-mlogloss:0.553024+0.008557
## [41] train-mlogloss:0.417297+0.005357 test-mlogloss:0.553828+0.008325
## [42] train-mlogloss:0.414621+0.006442 test-mlogloss:0.554596+0.008896
## [43] train-mlogloss:0.412613+0.006818 test-mlogloss:0.555513+0.008585
## [44] train-mlogloss:0.410523+0.006947 test-mlogloss:0.556556+0.008890
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## [257] train-mlogloss:0.172067+0.004041 test-mlogloss:0.645810+0.009678
## [258] train-mlogloss:0.171660+0.004205 test-mlogloss:0.645981+0.009891
## [259] train-mlogloss:0.171205+0.004136 test-mlogloss:0.646124+0.009821
## [260] train-mlogloss:0.170629+0.003989 test-mlogloss:0.646424+0.009374
## [261] train-mlogloss:0.169996+0.003929 test-mlogloss:0.646946+0.009529
## [262] train-mlogloss:0.169318+0.003946 test-mlogloss:0.647670+0.009520
## [263] train-mlogloss:0.168795+0.003958 test-mlogloss:0.647862+0.009299
## [264] train-mlogloss:0.168162+0.003721 test-mlogloss:0.648204+0.009235
## [265] train-mlogloss:0.167620+0.003406 test-mlogloss:0.648793+0.009043
## [266] train-mlogloss:0.167083+0.003368 test-mlogloss:0.649014+0.008781
## [267] train-mlogloss:0.166416+0.003283 test-mlogloss:0.649383+0.009180
## [268] train-mlogloss:0.166080+0.003374 test-mlogloss:0.649500+0.009410
## [269] train-mlogloss:0.165674+0.003230 test-mlogloss:0.649774+0.009241
## [270] train-mlogloss:0.165269+0.002971 test-mlogloss:0.650183+0.009118
## [271] train-mlogloss:0.165017+0.003023 test-mlogloss:0.650755+0.009341
## [272] train-mlogloss:0.164546+0.003123 test-mlogloss:0.651229+0.009363
## [273] train-mlogloss:0.164106+0.003148 test-mlogloss:0.651738+0.009381
## [274] train-mlogloss:0.163563+0.003259 test-mlogloss:0.652036+0.009596
## [275] train-mlogloss:0.163030+0.003057 test-mlogloss:0.652360+0.009889
## [276] train-mlogloss:0.162573+0.003112 test-mlogloss:0.652604+0.009980
## [277] train-mlogloss:0.162038+0.003135 test-mlogloss:0.653019+0.010193
## [278] train-mlogloss:0.161529+0.003351 test-mlogloss:0.653385+0.010153
## [279] train-mlogloss:0.161139+0.003313 test-mlogloss:0.653606+0.010364
## [280] train-mlogloss:0.160494+0.003454 test-mlogloss:0.653849+0.009852
## [281] train-mlogloss:0.159952+0.003724 test-mlogloss:0.653877+0.009776
## [282] train-mlogloss:0.159570+0.003701 test-mlogloss:0.653872+0.010004
## [283] train-mlogloss:0.159129+0.003801 test-mlogloss:0.654154+0.009975
## [284] train-mlogloss:0.158527+0.003962 test-mlogloss:0.654436+0.009718
## [285] train-mlogloss:0.157733+0.003948 test-mlogloss:0.655238+0.009534
## [286] train-mlogloss:0.157199+0.004081 test-mlogloss:0.655373+0.009250
## [287] train-mlogloss:0.156689+0.003979 test-mlogloss:0.655961+0.009266
## [288] train-mlogloss:0.155869+0.004132 test-mlogloss:0.656901+0.008623
## [289] train-mlogloss:0.155542+0.004257 test-mlogloss:0.657293+0.008729
## [290] train-mlogloss:0.154999+0.004182 test-mlogloss:0.658073+0.008995
## [291] train-mlogloss:0.154322+0.004199 test-mlogloss:0.658658+0.009271
## [292] train-mlogloss:0.154007+0.004081 test-mlogloss:0.658910+0.009183
## [293] train-mlogloss:0.153314+0.004235 test-mlogloss:0.659481+0.009169
## [294] train-mlogloss:0.152770+0.004212 test-mlogloss:0.660395+0.009927
## [295] train-mlogloss:0.152151+0.004235 test-mlogloss:0.661286+0.010446
## [296] train-mlogloss:0.151834+0.004251 test-mlogloss:0.661673+0.010505
## [297] train-mlogloss:0.151374+0.004401 test-mlogloss:0.662291+0.010732
## [298] train-mlogloss:0.150625+0.004223 test-mlogloss:0.662510+0.011014
## [299] train-mlogloss:0.149907+0.003893 test-mlogloss:0.662826+0.011040
## [300] train-mlogloss:0.149190+0.003988 test-mlogloss:0.663282+0.011343
## [301] train-mlogloss:0.148704+0.004009 test-mlogloss:0.663757+0.011198
## [302] train-mlogloss:0.148244+0.004116 test-mlogloss:0.664320+0.011414
## [303] train-mlogloss:0.147818+0.004121 test-mlogloss:0.664421+0.011669
## [304] train-mlogloss:0.147226+0.004145 test-mlogloss:0.665230+0.011572
## [305] train-mlogloss:0.147026+0.004111 test-mlogloss:0.665400+0.011622
## [306] train-mlogloss:0.146296+0.003857 test-mlogloss:0.666144+0.011940
## [307] train-mlogloss:0.145609+0.003966 test-mlogloss:0.666614+0.011787
## [308] train-mlogloss:0.144992+0.003768 test-mlogloss:0.667025+0.012154
## [309] train-mlogloss:0.144400+0.003847 test-mlogloss:0.667550+0.011913
## [310] train-mlogloss:0.143817+0.003893 test-mlogloss:0.667673+0.012300
## [311] train-mlogloss:0.143617+0.003842 test-mlogloss:0.667684+0.012478
## [312] train-mlogloss:0.143212+0.003830 test-mlogloss:0.667647+0.012168
## [313] train-mlogloss:0.142902+0.003921 test-mlogloss:0.668074+0.011799
## [314] train-mlogloss:0.142553+0.003952 test-mlogloss:0.668395+0.011972
## [315] train-mlogloss:0.142126+0.003965 test-mlogloss:0.668443+0.012093
## [316] train-mlogloss:0.141652+0.004272 test-mlogloss:0.669136+0.012409
## [317] train-mlogloss:0.141336+0.004134 test-mlogloss:0.669320+0.012359
## [318] train-mlogloss:0.141142+0.004114 test-mlogloss:0.669500+0.012386
## [319] train-mlogloss:0.140477+0.004229 test-mlogloss:0.669347+0.012100
## [320] train-mlogloss:0.140140+0.004251 test-mlogloss:0.670063+0.012045
## [321] train-mlogloss:0.139878+0.004218 test-mlogloss:0.670243+0.012028
## [322] train-mlogloss:0.139254+0.004377 test-mlogloss:0.670460+0.011994
## [323] train-mlogloss:0.138910+0.004343 test-mlogloss:0.671055+0.012065
## [324] train-mlogloss:0.138442+0.004510 test-mlogloss:0.671838+0.012560
## [325] train-mlogloss:0.137990+0.004715 test-mlogloss:0.672461+0.012982
## [326] train-mlogloss:0.137558+0.004925 test-mlogloss:0.673170+0.013941
## [327] train-mlogloss:0.136932+0.004838 test-mlogloss:0.673666+0.013705
## [328] train-mlogloss:0.136397+0.004883 test-mlogloss:0.673709+0.013883
## [329] train-mlogloss:0.135923+0.004655 test-mlogloss:0.674097+0.013552
## [330] train-mlogloss:0.135469+0.004508 test-mlogloss:0.674771+0.013332
## [331] train-mlogloss:0.135187+0.004567 test-mlogloss:0.675028+0.013060
## [332] train-mlogloss:0.134572+0.004611 test-mlogloss:0.675416+0.013029
## [333] train-mlogloss:0.134233+0.004793 test-mlogloss:0.675692+0.013067
## [334] train-mlogloss:0.133780+0.005028 test-mlogloss:0.676414+0.012958
## [335] train-mlogloss:0.133322+0.005001 test-mlogloss:0.677178+0.012921
## [336] train-mlogloss:0.133052+0.005018 test-mlogloss:0.677460+0.013008
## [337] train-mlogloss:0.132550+0.004843 test-mlogloss:0.677691+0.013047
## [338] train-mlogloss:0.132241+0.004863 test-mlogloss:0.678159+0.013099
## [339] train-mlogloss:0.131889+0.004901 test-mlogloss:0.678210+0.013253
## [340] train-mlogloss:0.131483+0.004828 test-mlogloss:0.678657+0.013313
## [341] train-mlogloss:0.130995+0.004894 test-mlogloss:0.679029+0.013199
## [342] train-mlogloss:0.130586+0.004992 test-mlogloss:0.679136+0.013160
## [343] train-mlogloss:0.130278+0.005062 test-mlogloss:0.679259+0.012972
## [344] train-mlogloss:0.129890+0.005138 test-mlogloss:0.679243+0.013144
## [345] train-mlogloss:0.129360+0.005094 test-mlogloss:0.679370+0.013367
## [346] train-mlogloss:0.128988+0.005089 test-mlogloss:0.679937+0.013351
## [347] train-mlogloss:0.128569+0.005114 test-mlogloss:0.680420+0.013495
## [348] train-mlogloss:0.128288+0.005227 test-mlogloss:0.680862+0.013463
## [349] train-mlogloss:0.127811+0.005126 test-mlogloss:0.681163+0.013556
## [350] train-mlogloss:0.127533+0.005051 test-mlogloss:0.681272+0.013418
## [351] train-mlogloss:0.127199+0.005065 test-mlogloss:0.681828+0.013333
## [352] train-mlogloss:0.126845+0.005193 test-mlogloss:0.682236+0.013211
## [353] train-mlogloss:0.126590+0.005254 test-mlogloss:0.682518+0.013358
## [354] train-mlogloss:0.126175+0.005270 test-mlogloss:0.683053+0.013125
## [355] train-mlogloss:0.125815+0.005175 test-mlogloss:0.683270+0.013033
## [356] train-mlogloss:0.125489+0.005108 test-mlogloss:0.683888+0.013067
## [357] train-mlogloss:0.125005+0.005151 test-mlogloss:0.684233+0.012788
## [358] train-mlogloss:0.124389+0.005323 test-mlogloss:0.684965+0.013284
## [359] train-mlogloss:0.124043+0.005374 test-mlogloss:0.685296+0.013017
## [360] train-mlogloss:0.123932+0.005385 test-mlogloss:0.685539+0.012899
## [361] train-mlogloss:0.123611+0.005581 test-mlogloss:0.685834+0.012949
## [362] train-mlogloss:0.123284+0.005567 test-mlogloss:0.686275+0.012944
## [363] train-mlogloss:0.122840+0.005631 test-mlogloss:0.686467+0.012759
## [364] train-mlogloss:0.122303+0.005549 test-mlogloss:0.686910+0.013004
## [365] train-mlogloss:0.122061+0.005452 test-mlogloss:0.687266+0.012859
## [366] train-mlogloss:0.121676+0.005574 test-mlogloss:0.687237+0.012877
## [367] train-mlogloss:0.121290+0.005468 test-mlogloss:0.687717+0.012843
## [368] train-mlogloss:0.120851+0.005205 test-mlogloss:0.687929+0.012470
## [369] train-mlogloss:0.120375+0.005156 test-mlogloss:0.688546+0.012043
## [370] train-mlogloss:0.119889+0.005311 test-mlogloss:0.689139+0.012053
## [371] train-mlogloss:0.119463+0.005074 test-mlogloss:0.689727+0.011988
## [372] train-mlogloss:0.119140+0.005021 test-mlogloss:0.690188+0.011578
## [373] train-mlogloss:0.118703+0.005076 test-mlogloss:0.690907+0.011548
## [374] train-mlogloss:0.118281+0.005131 test-mlogloss:0.691458+0.011660
## [375] train-mlogloss:0.118053+0.005172 test-mlogloss:0.691810+0.011579
## [376] train-mlogloss:0.117686+0.005210 test-mlogloss:0.691869+0.011556
## [377] train-mlogloss:0.117335+0.005190 test-mlogloss:0.691946+0.011588
## [378] train-mlogloss:0.116870+0.005272 test-mlogloss:0.692224+0.012023
## [379] train-mlogloss:0.116481+0.005296 test-mlogloss:0.692767+0.012424
## [380] train-mlogloss:0.116012+0.005545 test-mlogloss:0.693112+0.012509
## [381] train-mlogloss:0.115537+0.005526 test-mlogloss:0.693378+0.012555
## [382] train-mlogloss:0.115191+0.005544 test-mlogloss:0.693532+0.012742
## [383] train-mlogloss:0.114793+0.005641 test-mlogloss:0.694251+0.012699
## [384] train-mlogloss:0.114203+0.005439 test-mlogloss:0.694894+0.012338
## [385] train-mlogloss:0.113852+0.005451 test-mlogloss:0.695308+0.012219
## [386] train-mlogloss:0.113588+0.005511 test-mlogloss:0.695537+0.012414
## [387] train-mlogloss:0.113278+0.005400 test-mlogloss:0.695785+0.012404
## [388] train-mlogloss:0.112822+0.005399 test-mlogloss:0.696124+0.012123
## [389] train-mlogloss:0.112383+0.005305 test-mlogloss:0.696423+0.012649
## [390] train-mlogloss:0.112044+0.005291 test-mlogloss:0.696762+0.012849
## [391] train-mlogloss:0.111798+0.005395 test-mlogloss:0.697373+0.013077
## [392] train-mlogloss:0.111606+0.005215 test-mlogloss:0.697571+0.013058
## [393] train-mlogloss:0.111096+0.005364 test-mlogloss:0.697711+0.013058
## [394] train-mlogloss:0.110911+0.005275 test-mlogloss:0.698256+0.012785
## [395] train-mlogloss:0.110498+0.005388 test-mlogloss:0.698985+0.013099
## [396] train-mlogloss:0.110326+0.005492 test-mlogloss:0.699217+0.013229
## [397] train-mlogloss:0.110066+0.005423 test-mlogloss:0.699776+0.013242
## [398] train-mlogloss:0.109842+0.005542 test-mlogloss:0.700303+0.013423
## [399] train-mlogloss:0.109616+0.005539 test-mlogloss:0.700802+0.013925
## [400] train-mlogloss:0.109220+0.005500 test-mlogloss:0.700801+0.013777
## [401] train-mlogloss:0.109002+0.005419 test-mlogloss:0.700962+0.013953
## [402] train-mlogloss:0.108609+0.005335 test-mlogloss:0.700991+0.013959
## [403] train-mlogloss:0.108257+0.005237 test-mlogloss:0.701375+0.013788
## [404] train-mlogloss:0.107813+0.004955 test-mlogloss:0.701935+0.013343
## [405] train-mlogloss:0.107563+0.004993 test-mlogloss:0.701987+0.013495
## [406] train-mlogloss:0.107259+0.004926 test-mlogloss:0.701939+0.013455
## [407] train-mlogloss:0.106917+0.004864 test-mlogloss:0.702376+0.013288
## [408] train-mlogloss:0.106635+0.004832 test-mlogloss:0.702884+0.013124
## [409] train-mlogloss:0.106327+0.004810 test-mlogloss:0.703487+0.013242
## [410] train-mlogloss:0.106173+0.004851 test-mlogloss:0.703487+0.013237
## [411] train-mlogloss:0.106015+0.004919 test-mlogloss:0.703656+0.013339
## [412] train-mlogloss:0.105697+0.004937 test-mlogloss:0.704413+0.013530
## [413] train-mlogloss:0.105335+0.005058 test-mlogloss:0.704852+0.013712
## [414] train-mlogloss:0.105012+0.005222 test-mlogloss:0.705040+0.013689
## [415] train-mlogloss:0.104647+0.005078 test-mlogloss:0.705437+0.014172
## [416] train-mlogloss:0.104281+0.004936 test-mlogloss:0.705742+0.014270
## [417] train-mlogloss:0.104046+0.004865 test-mlogloss:0.705970+0.014356
## [418] train-mlogloss:0.103807+0.004914 test-mlogloss:0.706711+0.014469
## [419] train-mlogloss:0.103586+0.004976 test-mlogloss:0.707137+0.014238
## [420] train-mlogloss:0.103327+0.005083 test-mlogloss:0.707579+0.014251
## [421] train-mlogloss:0.102974+0.005078 test-mlogloss:0.707750+0.014320
## [422] train-mlogloss:0.102613+0.005133 test-mlogloss:0.708280+0.014473
## [423] train-mlogloss:0.102175+0.005244 test-mlogloss:0.708697+0.014863
## [424] train-mlogloss:0.101781+0.005389 test-mlogloss:0.708501+0.015087
## [425] train-mlogloss:0.101515+0.005464 test-mlogloss:0.708671+0.015016
## [426] train-mlogloss:0.101282+0.005545 test-mlogloss:0.709240+0.015036
## [427] train-mlogloss:0.101076+0.005509 test-mlogloss:0.709543+0.015074
## [428] train-mlogloss:0.100651+0.005639 test-mlogloss:0.709999+0.015159
## [429] train-mlogloss:0.100288+0.005507 test-mlogloss:0.710526+0.015509
## [430] train-mlogloss:0.099891+0.005451 test-mlogloss:0.710767+0.015411
## [431] train-mlogloss:0.099527+0.005350 test-mlogloss:0.710778+0.015953
## [432] train-mlogloss:0.099200+0.005343 test-mlogloss:0.711107+0.015847
## [433] train-mlogloss:0.098742+0.005288 test-mlogloss:0.712162+0.015565
## [434] train-mlogloss:0.098486+0.005217 test-mlogloss:0.712469+0.015486
## [435] train-mlogloss:0.098099+0.005126 test-mlogloss:0.713321+0.015307
## [436] train-mlogloss:0.097742+0.005107 test-mlogloss:0.713918+0.015265
## [437] train-mlogloss:0.097486+0.005070 test-mlogloss:0.714308+0.015435
## [438] train-mlogloss:0.097180+0.004967 test-mlogloss:0.714857+0.015225
## [439] train-mlogloss:0.096793+0.004846 test-mlogloss:0.715410+0.014891
## [440] train-mlogloss:0.096447+0.004940 test-mlogloss:0.715599+0.015186
## [441] train-mlogloss:0.096185+0.005022 test-mlogloss:0.716306+0.015418
## [442] train-mlogloss:0.095813+0.004942 test-mlogloss:0.716976+0.015207
## [443] train-mlogloss:0.095420+0.004953 test-mlogloss:0.717111+0.015012
## [444] train-mlogloss:0.095093+0.004852 test-mlogloss:0.717259+0.015028
## [445] train-mlogloss:0.094761+0.004754 test-mlogloss:0.717837+0.015154
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## [447] train-mlogloss:0.094127+0.004627 test-mlogloss:0.718065+0.015335
## [448] train-mlogloss:0.093974+0.004705 test-mlogloss:0.718310+0.015489
## [449] train-mlogloss:0.093653+0.004681 test-mlogloss:0.718629+0.015548
## [450] train-mlogloss:0.093337+0.004645 test-mlogloss:0.718938+0.015517
## [451] train-mlogloss:0.093160+0.004618 test-mlogloss:0.719477+0.015399
## [452] train-mlogloss:0.092878+0.004597 test-mlogloss:0.719753+0.015373
## [453] train-mlogloss:0.092563+0.004682 test-mlogloss:0.720185+0.015055
## [454] train-mlogloss:0.092209+0.004639 test-mlogloss:0.720885+0.015173
## [455] train-mlogloss:0.091897+0.004703 test-mlogloss:0.721355+0.015641
## [456] train-mlogloss:0.091667+0.004735 test-mlogloss:0.721786+0.015710
## [457] train-mlogloss:0.091402+0.004690 test-mlogloss:0.722327+0.015631
## [458] train-mlogloss:0.091116+0.004622 test-mlogloss:0.722799+0.015474
## [459] train-mlogloss:0.090841+0.004671 test-mlogloss:0.723286+0.015667
## [460] train-mlogloss:0.090558+0.004478 test-mlogloss:0.723545+0.015326
## [461] train-mlogloss:0.090301+0.004534 test-mlogloss:0.724219+0.015722
## [462] train-mlogloss:0.090041+0.004479 test-mlogloss:0.724316+0.015702
## [463] train-mlogloss:0.089769+0.004557 test-mlogloss:0.724606+0.016009
## [464] train-mlogloss:0.089571+0.004585 test-mlogloss:0.724948+0.015708
## [465] train-mlogloss:0.089357+0.004700 test-mlogloss:0.725376+0.015567
## [466] train-mlogloss:0.089157+0.004711 test-mlogloss:0.725711+0.015595
## [467] train-mlogloss:0.088880+0.004844 test-mlogloss:0.726091+0.015770
## [468] train-mlogloss:0.088699+0.004780 test-mlogloss:0.726196+0.015750
## [469] train-mlogloss:0.088562+0.004840 test-mlogloss:0.726419+0.015818
## [470] train-mlogloss:0.088273+0.004766 test-mlogloss:0.726946+0.015828
## [471] train-mlogloss:0.087867+0.004699 test-mlogloss:0.727678+0.015636
## [472] train-mlogloss:0.087649+0.004686 test-mlogloss:0.727968+0.015724
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## [474] train-mlogloss:0.087059+0.004400 test-mlogloss:0.729059+0.015598
## [475] train-mlogloss:0.086757+0.004247 test-mlogloss:0.729254+0.015628
## [476] train-mlogloss:0.086520+0.004250 test-mlogloss:0.729369+0.015741
## [477] train-mlogloss:0.086275+0.004214 test-mlogloss:0.729739+0.015725
## [478] train-mlogloss:0.086106+0.004232 test-mlogloss:0.730137+0.015952
## [479] train-mlogloss:0.085824+0.004221 test-mlogloss:0.730247+0.015609
## [480] train-mlogloss:0.085623+0.004240 test-mlogloss:0.730488+0.015479
## [481] train-mlogloss:0.085289+0.004211 test-mlogloss:0.730888+0.015272
## [482] train-mlogloss:0.084901+0.004274 test-mlogloss:0.731717+0.015269
## [483] train-mlogloss:0.084621+0.004244 test-mlogloss:0.732285+0.015174
## [484] train-mlogloss:0.084236+0.004356 test-mlogloss:0.732699+0.015111
## [485] train-mlogloss:0.084104+0.004393 test-mlogloss:0.733098+0.015289
## [486] train-mlogloss:0.084034+0.004381 test-mlogloss:0.733309+0.015373
## [487] train-mlogloss:0.083775+0.004447 test-mlogloss:0.734075+0.015640
## [488] train-mlogloss:0.083523+0.004396 test-mlogloss:0.734782+0.015670
## [489] train-mlogloss:0.083222+0.004376 test-mlogloss:0.735131+0.015584
## [490] train-mlogloss:0.083048+0.004282 test-mlogloss:0.735332+0.015824
## [491] train-mlogloss:0.082866+0.004262 test-mlogloss:0.735539+0.015849
## [492] train-mlogloss:0.082728+0.004286 test-mlogloss:0.735676+0.015726
## [493] train-mlogloss:0.082530+0.004205 test-mlogloss:0.735722+0.015695
## [494] train-mlogloss:0.082342+0.004293 test-mlogloss:0.736050+0.015659
## [495] train-mlogloss:0.082000+0.004149 test-mlogloss:0.736554+0.015320
## [496] train-mlogloss:0.081748+0.004147 test-mlogloss:0.737035+0.015035
## [497] train-mlogloss:0.081570+0.004190 test-mlogloss:0.737327+0.015291
## [498] train-mlogloss:0.081323+0.004171 test-mlogloss:0.737448+0.015553
## [499] train-mlogloss:0.081188+0.004126 test-mlogloss:0.737490+0.015433
## [500] train-mlogloss:0.081012+0.003992 test-mlogloss:0.737854+0.015223
## [1] train-mlogloss:0.570942+0.000917 test-mlogloss:0.628982+0.003534
## [2] train-mlogloss:0.489250+0.000812 test-mlogloss:0.598864+0.005388
## [3] train-mlogloss:0.428710+0.000803 test-mlogloss:0.582462+0.007598
## [4] train-mlogloss:0.381485+0.000818 test-mlogloss:0.574951+0.007979
## [5] train-mlogloss:0.342932+0.000992 test-mlogloss:0.573974+0.009561
## [6] train-mlogloss:0.312530+0.001785 test-mlogloss:0.577273+0.009364
## [7] train-mlogloss:0.285709+0.001925 test-mlogloss:0.580844+0.007866
## [8] train-mlogloss:0.263253+0.001795 test-mlogloss:0.584552+0.009320
## [9] train-mlogloss:0.243655+0.001447 test-mlogloss:0.589617+0.009146
## [10] train-mlogloss:0.226785+0.001825 test-mlogloss:0.595528+0.009971
## [11] train-mlogloss:0.212043+0.002403 test-mlogloss:0.599260+0.010843
## [12] train-mlogloss:0.200278+0.001510 test-mlogloss:0.602039+0.009860
## [13] train-mlogloss:0.188356+0.001502 test-mlogloss:0.605534+0.010346
## [14] train-mlogloss:0.179286+0.001942 test-mlogloss:0.608135+0.010706
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## [16] train-mlogloss:0.162904+0.002908 test-mlogloss:0.615753+0.013683
## [17] train-mlogloss:0.156821+0.002849 test-mlogloss:0.618610+0.014841
## [18] train-mlogloss:0.151066+0.004288 test-mlogloss:0.621360+0.016372
## [19] train-mlogloss:0.145647+0.005672 test-mlogloss:0.625209+0.017253
## [20] train-mlogloss:0.141340+0.006890 test-mlogloss:0.627131+0.017640
## [21] train-mlogloss:0.137641+0.008080 test-mlogloss:0.629065+0.018014
## [22] train-mlogloss:0.133222+0.009509 test-mlogloss:0.633274+0.020331
## [23] train-mlogloss:0.129231+0.009858 test-mlogloss:0.636821+0.021374
## [24] train-mlogloss:0.126600+0.010603 test-mlogloss:0.638258+0.021488
## [25] train-mlogloss:0.122902+0.009883 test-mlogloss:0.640215+0.021375
## [26] train-mlogloss:0.119488+0.009189 test-mlogloss:0.642392+0.021084
## [27] train-mlogloss:0.116912+0.008640 test-mlogloss:0.644365+0.020292
## [28] train-mlogloss:0.113256+0.007875 test-mlogloss:0.647033+0.020334
## [29] train-mlogloss:0.110228+0.008437 test-mlogloss:0.650361+0.021091
## [30] train-mlogloss:0.107168+0.007956 test-mlogloss:0.653586+0.021543
## [31] train-mlogloss:0.104950+0.007084 test-mlogloss:0.654967+0.021134
## [32] train-mlogloss:0.103012+0.006141 test-mlogloss:0.656771+0.020719
## [33] train-mlogloss:0.099709+0.006195 test-mlogloss:0.659907+0.021460
## [34] train-mlogloss:0.097666+0.006120 test-mlogloss:0.661810+0.021232
## [35] train-mlogloss:0.095248+0.005415 test-mlogloss:0.663854+0.021341
## [36] train-mlogloss:0.093199+0.004551 test-mlogloss:0.665949+0.020335
## [37] train-mlogloss:0.091608+0.004946 test-mlogloss:0.667380+0.021157
## [38] train-mlogloss:0.089496+0.004183 test-mlogloss:0.669315+0.020362
## [39] train-mlogloss:0.087411+0.003602 test-mlogloss:0.671789+0.019548
## [40] train-mlogloss:0.085284+0.003180 test-mlogloss:0.673270+0.019586
## [41] train-mlogloss:0.083458+0.003123 test-mlogloss:0.675563+0.019913
## [42] train-mlogloss:0.081212+0.002881 test-mlogloss:0.678729+0.019744
## [43] train-mlogloss:0.079618+0.002706 test-mlogloss:0.680671+0.019808
## [44] train-mlogloss:0.077929+0.002436 test-mlogloss:0.682475+0.019550
## [45] train-mlogloss:0.076493+0.002113 test-mlogloss:0.683935+0.019661
## [46] train-mlogloss:0.074665+0.001989 test-mlogloss:0.686138+0.019411
## [47] train-mlogloss:0.073054+0.001584 test-mlogloss:0.688879+0.018999
## [48] train-mlogloss:0.071643+0.001706 test-mlogloss:0.690782+0.018909
## [49] train-mlogloss:0.070298+0.001535 test-mlogloss:0.692818+0.019001
## [50] train-mlogloss:0.068813+0.001441 test-mlogloss:0.694874+0.018835
## [51] train-mlogloss:0.067772+0.001521 test-mlogloss:0.696620+0.018644
## [52] train-mlogloss:0.066323+0.001645 test-mlogloss:0.698924+0.018070
## [53] train-mlogloss:0.065354+0.001349 test-mlogloss:0.700501+0.018201
## [54] train-mlogloss:0.064163+0.001310 test-mlogloss:0.702914+0.018031
## [55] train-mlogloss:0.063391+0.001149 test-mlogloss:0.704380+0.018349
## [56] train-mlogloss:0.062594+0.001140 test-mlogloss:0.705121+0.018318
## [57] train-mlogloss:0.061728+0.000940 test-mlogloss:0.706298+0.018235
## [58] train-mlogloss:0.060546+0.000874 test-mlogloss:0.708210+0.017765
## [59] train-mlogloss:0.059494+0.000691 test-mlogloss:0.710159+0.017851
## [60] train-mlogloss:0.058729+0.000766 test-mlogloss:0.711902+0.017832
## [61] train-mlogloss:0.057605+0.000775 test-mlogloss:0.713442+0.017532
## [62] train-mlogloss:0.056749+0.000871 test-mlogloss:0.714379+0.017710
## [63] train-mlogloss:0.055855+0.000933 test-mlogloss:0.715889+0.017881
## [64] train-mlogloss:0.054992+0.001037 test-mlogloss:0.717691+0.018258
## [65] train-mlogloss:0.054170+0.000850 test-mlogloss:0.719164+0.018581
## [66] train-mlogloss:0.053390+0.000909 test-mlogloss:0.720676+0.018931
## [67] train-mlogloss:0.052551+0.000869 test-mlogloss:0.722250+0.019149
## [68] train-mlogloss:0.051923+0.001019 test-mlogloss:0.723457+0.019346
## [69] train-mlogloss:0.051278+0.000923 test-mlogloss:0.725241+0.019064
## [70] train-mlogloss:0.050626+0.001056 test-mlogloss:0.727031+0.019576
## [71] train-mlogloss:0.049936+0.001175 test-mlogloss:0.728960+0.018979
## [72] train-mlogloss:0.049247+0.001090 test-mlogloss:0.730839+0.018540
## [73] train-mlogloss:0.048648+0.000888 test-mlogloss:0.732269+0.018597
## [74] train-mlogloss:0.048018+0.000998 test-mlogloss:0.733662+0.019042
## [75] train-mlogloss:0.047549+0.001057 test-mlogloss:0.734295+0.019359
## [76] train-mlogloss:0.046868+0.001064 test-mlogloss:0.735645+0.020476
## [77] train-mlogloss:0.046243+0.001026 test-mlogloss:0.737422+0.020296
## [78] train-mlogloss:0.045754+0.001139 test-mlogloss:0.739145+0.020435
## [79] train-mlogloss:0.045208+0.001089 test-mlogloss:0.741218+0.020020
## [80] train-mlogloss:0.044617+0.001008 test-mlogloss:0.742947+0.020120
## [81] train-mlogloss:0.044057+0.000927 test-mlogloss:0.744528+0.020292
## [82] train-mlogloss:0.043541+0.000773 test-mlogloss:0.746927+0.019884
## [83] train-mlogloss:0.042918+0.000666 test-mlogloss:0.748457+0.020030
## [84] train-mlogloss:0.042340+0.000620 test-mlogloss:0.749553+0.019871
## [85] train-mlogloss:0.041804+0.000693 test-mlogloss:0.750837+0.019687
## [86] train-mlogloss:0.041227+0.000660 test-mlogloss:0.752600+0.019601
## [87] train-mlogloss:0.040749+0.000783 test-mlogloss:0.753828+0.020180
## [88] train-mlogloss:0.040351+0.000809 test-mlogloss:0.755108+0.019638
## [89] train-mlogloss:0.039909+0.000801 test-mlogloss:0.756750+0.020171
## [90] train-mlogloss:0.039433+0.000776 test-mlogloss:0.757731+0.020574
## [91] train-mlogloss:0.039013+0.000723 test-mlogloss:0.758869+0.020222
## [92] train-mlogloss:0.038693+0.000710 test-mlogloss:0.759378+0.020245
## [93] train-mlogloss:0.038291+0.000722 test-mlogloss:0.760989+0.020122
## [94] train-mlogloss:0.037788+0.000681 test-mlogloss:0.762266+0.020326
## [95] train-mlogloss:0.037414+0.000626 test-mlogloss:0.763123+0.020567
## [96] train-mlogloss:0.037043+0.000676 test-mlogloss:0.764721+0.020787
## [97] train-mlogloss:0.036718+0.000707 test-mlogloss:0.765173+0.020709
## [98] train-mlogloss:0.036332+0.000672 test-mlogloss:0.766688+0.020162
## [99] train-mlogloss:0.035913+0.000641 test-mlogloss:0.768046+0.019883
## [100] train-mlogloss:0.035513+0.000621 test-mlogloss:0.769478+0.020760
## [101] train-mlogloss:0.035117+0.000644 test-mlogloss:0.770488+0.020749
## [102] train-mlogloss:0.034758+0.000645 test-mlogloss:0.771426+0.021243
## [103] train-mlogloss:0.034416+0.000635 test-mlogloss:0.772640+0.021729
## [104] train-mlogloss:0.034064+0.000630 test-mlogloss:0.773849+0.021480
## [105] train-mlogloss:0.033724+0.000658 test-mlogloss:0.774422+0.021541
## [106] train-mlogloss:0.033370+0.000660 test-mlogloss:0.775695+0.021873
## [107] train-mlogloss:0.033012+0.000665 test-mlogloss:0.776553+0.022800
## [108] train-mlogloss:0.032690+0.000631 test-mlogloss:0.777413+0.022575
## [109] train-mlogloss:0.032404+0.000649 test-mlogloss:0.778880+0.022825
## [110] train-mlogloss:0.032063+0.000630 test-mlogloss:0.779724+0.023193
## [111] train-mlogloss:0.031757+0.000612 test-mlogloss:0.780846+0.023091
## [112] train-mlogloss:0.031494+0.000620 test-mlogloss:0.782049+0.023469
## [113] train-mlogloss:0.031206+0.000618 test-mlogloss:0.783513+0.023440
## [114] train-mlogloss:0.030984+0.000606 test-mlogloss:0.784105+0.023780
## [115] train-mlogloss:0.030721+0.000590 test-mlogloss:0.785054+0.024105
## [116] train-mlogloss:0.030482+0.000550 test-mlogloss:0.785904+0.023955
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## [139] train-mlogloss:0.025599+0.000311 test-mlogloss:0.809040+0.023688
## [140] train-mlogloss:0.025415+0.000306 test-mlogloss:0.809670+0.024077
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## [185] train-mlogloss:0.019574+0.000225 test-mlogloss:0.841937+0.023750
## [186] train-mlogloss:0.019477+0.000232 test-mlogloss:0.843047+0.023902
## [187] train-mlogloss:0.019381+0.000221 test-mlogloss:0.843839+0.023452
## [188] train-mlogloss:0.019290+0.000215 test-mlogloss:0.844729+0.023277
## [189] train-mlogloss:0.019184+0.000210 test-mlogloss:0.845854+0.023017
## [190] train-mlogloss:0.019092+0.000205 test-mlogloss:0.846681+0.023444
## [191] train-mlogloss:0.019004+0.000212 test-mlogloss:0.847404+0.023439
## [192] train-mlogloss:0.018907+0.000207 test-mlogloss:0.848145+0.024048
## [193] train-mlogloss:0.018818+0.000204 test-mlogloss:0.849001+0.024062
## [194] train-mlogloss:0.018734+0.000206 test-mlogloss:0.850045+0.024049
## [195] train-mlogloss:0.018649+0.000209 test-mlogloss:0.850333+0.023912
## [196] train-mlogloss:0.018565+0.000196 test-mlogloss:0.851117+0.023834
## [197] train-mlogloss:0.018484+0.000193 test-mlogloss:0.851823+0.023600
## [198] train-mlogloss:0.018408+0.000197 test-mlogloss:0.852393+0.024024
## [199] train-mlogloss:0.018319+0.000192 test-mlogloss:0.852999+0.023595
## [200] train-mlogloss:0.018243+0.000190 test-mlogloss:0.853785+0.023394
## [201] train-mlogloss:0.018168+0.000185 test-mlogloss:0.854514+0.023236
## [202] train-mlogloss:0.018092+0.000184 test-mlogloss:0.855017+0.023240
## [203] train-mlogloss:0.018012+0.000178 test-mlogloss:0.855489+0.023250
## [204] train-mlogloss:0.017929+0.000171 test-mlogloss:0.856104+0.023273
## [205] train-mlogloss:0.017845+0.000169 test-mlogloss:0.856948+0.023156
## [206] train-mlogloss:0.017770+0.000165 test-mlogloss:0.857443+0.023062
## [207] train-mlogloss:0.017700+0.000161 test-mlogloss:0.858380+0.023143
## [208] train-mlogloss:0.017627+0.000157 test-mlogloss:0.858589+0.023320
## [209] train-mlogloss:0.017547+0.000162 test-mlogloss:0.859129+0.023734
## [210] train-mlogloss:0.017476+0.000165 test-mlogloss:0.859603+0.023327
## [211] train-mlogloss:0.017408+0.000164 test-mlogloss:0.859827+0.023372
## [212] train-mlogloss:0.017334+0.000173 test-mlogloss:0.860766+0.023362
## [213] train-mlogloss:0.017263+0.000175 test-mlogloss:0.861220+0.023200
## [214] train-mlogloss:0.017197+0.000183 test-mlogloss:0.861582+0.023144
## [215] train-mlogloss:0.017127+0.000180 test-mlogloss:0.861966+0.023300
## [216] train-mlogloss:0.017059+0.000174 test-mlogloss:0.862546+0.023539
## [217] train-mlogloss:0.016990+0.000177 test-mlogloss:0.863256+0.023472
## [218] train-mlogloss:0.016919+0.000164 test-mlogloss:0.863833+0.023517
## [219] train-mlogloss:0.016852+0.000160 test-mlogloss:0.864057+0.023636
## [220] train-mlogloss:0.016785+0.000155 test-mlogloss:0.864704+0.023533
## [221] train-mlogloss:0.016720+0.000160 test-mlogloss:0.865242+0.023693
## [222] train-mlogloss:0.016658+0.000151 test-mlogloss:0.865378+0.023813
## [223] train-mlogloss:0.016594+0.000153 test-mlogloss:0.865997+0.023950
## [224] train-mlogloss:0.016533+0.000153 test-mlogloss:0.866676+0.024272
## [225] train-mlogloss:0.016473+0.000145 test-mlogloss:0.867319+0.023913
## [226] train-mlogloss:0.016412+0.000143 test-mlogloss:0.867897+0.023732
## [227] train-mlogloss:0.016353+0.000141 test-mlogloss:0.868328+0.023888
## [228] train-mlogloss:0.016291+0.000140 test-mlogloss:0.868719+0.023480
## [229] train-mlogloss:0.016230+0.000134 test-mlogloss:0.869301+0.023778
## [230] train-mlogloss:0.016175+0.000133 test-mlogloss:0.869784+0.023702
## [231] train-mlogloss:0.016118+0.000135 test-mlogloss:0.870452+0.023952
## [232] train-mlogloss:0.016065+0.000136 test-mlogloss:0.870976+0.023690
## [233] train-mlogloss:0.016006+0.000138 test-mlogloss:0.871202+0.023784
## [234] train-mlogloss:0.015945+0.000139 test-mlogloss:0.871753+0.023919
## [235] train-mlogloss:0.015885+0.000138 test-mlogloss:0.872627+0.023512
## [236] train-mlogloss:0.015827+0.000135 test-mlogloss:0.873019+0.023645
## [237] train-mlogloss:0.015767+0.000130 test-mlogloss:0.873375+0.023671
## [238] train-mlogloss:0.015708+0.000130 test-mlogloss:0.873865+0.023902
## [239] train-mlogloss:0.015655+0.000127 test-mlogloss:0.874388+0.023921
## [240] train-mlogloss:0.015595+0.000124 test-mlogloss:0.875097+0.023674
## [241] train-mlogloss:0.015543+0.000121 test-mlogloss:0.875882+0.023386
## [242] train-mlogloss:0.015490+0.000122 test-mlogloss:0.876319+0.023542
## [243] train-mlogloss:0.015434+0.000122 test-mlogloss:0.876741+0.023586
## [244] train-mlogloss:0.015386+0.000118 test-mlogloss:0.877447+0.023932
## [245] train-mlogloss:0.015333+0.000119 test-mlogloss:0.877870+0.023802
## [246] train-mlogloss:0.015277+0.000121 test-mlogloss:0.878270+0.023833
## [247] train-mlogloss:0.015228+0.000124 test-mlogloss:0.878794+0.023922
## [248] train-mlogloss:0.015175+0.000127 test-mlogloss:0.879121+0.024026
## [249] train-mlogloss:0.015120+0.000131 test-mlogloss:0.879843+0.023870
## [250] train-mlogloss:0.015069+0.000129 test-mlogloss:0.880476+0.023859
## [251] train-mlogloss:0.015020+0.000129 test-mlogloss:0.880805+0.023751
## [252] train-mlogloss:0.014978+0.000128 test-mlogloss:0.881266+0.024045
## [253] train-mlogloss:0.014928+0.000124 test-mlogloss:0.881903+0.024031
## [254] train-mlogloss:0.014878+0.000118 test-mlogloss:0.882445+0.023983
## [255] train-mlogloss:0.014830+0.000118 test-mlogloss:0.882603+0.024248
## [256] train-mlogloss:0.014786+0.000120 test-mlogloss:0.882965+0.023889
## [257] train-mlogloss:0.014737+0.000124 test-mlogloss:0.883641+0.023727
## [258] train-mlogloss:0.014696+0.000125 test-mlogloss:0.884168+0.023530
## [259] train-mlogloss:0.014654+0.000125 test-mlogloss:0.884215+0.023649
## [260] train-mlogloss:0.014605+0.000122 test-mlogloss:0.884628+0.023656
## [261] train-mlogloss:0.014558+0.000124 test-mlogloss:0.885028+0.023966
## [262] train-mlogloss:0.014509+0.000118 test-mlogloss:0.885750+0.023786
## [263] train-mlogloss:0.014464+0.000122 test-mlogloss:0.886138+0.023750
## [264] train-mlogloss:0.014419+0.000118 test-mlogloss:0.886597+0.024207
## [265] train-mlogloss:0.014375+0.000117 test-mlogloss:0.887093+0.023977
## [266] train-mlogloss:0.014336+0.000117 test-mlogloss:0.887440+0.024141
## [267] train-mlogloss:0.014293+0.000117 test-mlogloss:0.887838+0.024482
## [268] train-mlogloss:0.014251+0.000114 test-mlogloss:0.887897+0.024599
## [269] train-mlogloss:0.014208+0.000116 test-mlogloss:0.888137+0.024674
## [270] train-mlogloss:0.014170+0.000117 test-mlogloss:0.888523+0.024945
## [271] train-mlogloss:0.014123+0.000117 test-mlogloss:0.889003+0.024859
## [272] train-mlogloss:0.014081+0.000113 test-mlogloss:0.889390+0.025157
## [273] train-mlogloss:0.014042+0.000115 test-mlogloss:0.889739+0.024881
## [274] train-mlogloss:0.014002+0.000117 test-mlogloss:0.890315+0.025014
## [275] train-mlogloss:0.013959+0.000121 test-mlogloss:0.890652+0.024773
## [276] train-mlogloss:0.013919+0.000120 test-mlogloss:0.891449+0.024671
## [277] train-mlogloss:0.013877+0.000122 test-mlogloss:0.891800+0.024463
## [278] train-mlogloss:0.013842+0.000124 test-mlogloss:0.892343+0.024357
## [279] train-mlogloss:0.013803+0.000119 test-mlogloss:0.892724+0.024621
## [280] train-mlogloss:0.013765+0.000119 test-mlogloss:0.893184+0.024834
## [281] train-mlogloss:0.013725+0.000118 test-mlogloss:0.893490+0.024635
## [282] train-mlogloss:0.013685+0.000117 test-mlogloss:0.893907+0.024686
## [283] train-mlogloss:0.013652+0.000119 test-mlogloss:0.894310+0.024514
## [284] train-mlogloss:0.013618+0.000114 test-mlogloss:0.894922+0.024172
## [285] train-mlogloss:0.013576+0.000111 test-mlogloss:0.895450+0.024325
## [286] train-mlogloss:0.013537+0.000110 test-mlogloss:0.895951+0.024568
## [287] train-mlogloss:0.013502+0.000105 test-mlogloss:0.896551+0.024776
## [288] train-mlogloss:0.013464+0.000106 test-mlogloss:0.896875+0.025085
## [289] train-mlogloss:0.013426+0.000107 test-mlogloss:0.897011+0.025447
## [290] train-mlogloss:0.013391+0.000108 test-mlogloss:0.897167+0.025206
## [291] train-mlogloss:0.013356+0.000101 test-mlogloss:0.897287+0.024957
## [292] train-mlogloss:0.013320+0.000101 test-mlogloss:0.897697+0.024780
## [293] train-mlogloss:0.013286+0.000103 test-mlogloss:0.898197+0.024621
## [294] train-mlogloss:0.013250+0.000100 test-mlogloss:0.898805+0.024664
## [295] train-mlogloss:0.013215+0.000099 test-mlogloss:0.899268+0.024632
## [296] train-mlogloss:0.013179+0.000099 test-mlogloss:0.899485+0.024949
## [297] train-mlogloss:0.013147+0.000098 test-mlogloss:0.899993+0.024998
## [298] train-mlogloss:0.013112+0.000100 test-mlogloss:0.900366+0.025317
## [299] train-mlogloss:0.013076+0.000099 test-mlogloss:0.900629+0.025312
## [300] train-mlogloss:0.013038+0.000099 test-mlogloss:0.900969+0.025265
## [301] train-mlogloss:0.013006+0.000100 test-mlogloss:0.901426+0.025351
## [302] train-mlogloss:0.012968+0.000100 test-mlogloss:0.901764+0.025243
## [303] train-mlogloss:0.012936+0.000100 test-mlogloss:0.902003+0.025134
## [304] train-mlogloss:0.012906+0.000101 test-mlogloss:0.902345+0.025116
## [305] train-mlogloss:0.012875+0.000102 test-mlogloss:0.902600+0.025120
## [306] train-mlogloss:0.012845+0.000101 test-mlogloss:0.903073+0.025205
## [307] train-mlogloss:0.012814+0.000100 test-mlogloss:0.903368+0.025216
## [308] train-mlogloss:0.012782+0.000101 test-mlogloss:0.903677+0.024943
## [309] train-mlogloss:0.012748+0.000097 test-mlogloss:0.904189+0.024862
## [310] train-mlogloss:0.012719+0.000099 test-mlogloss:0.904591+0.024959
## [311] train-mlogloss:0.012688+0.000100 test-mlogloss:0.904911+0.024771
## [312] train-mlogloss:0.012659+0.000100 test-mlogloss:0.905491+0.024755
## [313] train-mlogloss:0.012630+0.000099 test-mlogloss:0.905566+0.024617
## [314] train-mlogloss:0.012599+0.000100 test-mlogloss:0.906034+0.024926
## [315] train-mlogloss:0.012565+0.000099 test-mlogloss:0.906595+0.025076
## [316] train-mlogloss:0.012535+0.000101 test-mlogloss:0.907168+0.025409
## [317] train-mlogloss:0.012506+0.000101 test-mlogloss:0.907553+0.025354
## [318] train-mlogloss:0.012476+0.000104 test-mlogloss:0.908186+0.025335
## [319] train-mlogloss:0.012443+0.000103 test-mlogloss:0.908691+0.025232
## [320] train-mlogloss:0.012413+0.000102 test-mlogloss:0.908695+0.025098
## [321] train-mlogloss:0.012382+0.000105 test-mlogloss:0.909241+0.025373
## [322] train-mlogloss:0.012355+0.000105 test-mlogloss:0.909357+0.025527
## [323] train-mlogloss:0.012327+0.000103 test-mlogloss:0.909570+0.025341
## [324] train-mlogloss:0.012296+0.000106 test-mlogloss:0.910311+0.025347
## [325] train-mlogloss:0.012268+0.000108 test-mlogloss:0.910444+0.025392
## [326] train-mlogloss:0.012240+0.000108 test-mlogloss:0.910825+0.025422
## [327] train-mlogloss:0.012211+0.000106 test-mlogloss:0.910873+0.025821
## [328] train-mlogloss:0.012185+0.000105 test-mlogloss:0.911485+0.026111
## [329] train-mlogloss:0.012161+0.000105 test-mlogloss:0.912266+0.026238
## [330] train-mlogloss:0.012129+0.000102 test-mlogloss:0.912759+0.026263
## [331] train-mlogloss:0.012100+0.000097 test-mlogloss:0.913281+0.026163
## [332] train-mlogloss:0.012071+0.000093 test-mlogloss:0.913163+0.026260
## [333] train-mlogloss:0.012039+0.000089 test-mlogloss:0.913629+0.026230
## [334] train-mlogloss:0.012013+0.000090 test-mlogloss:0.913818+0.025871
## [335] train-mlogloss:0.011986+0.000087 test-mlogloss:0.914365+0.025819
## [336] train-mlogloss:0.011959+0.000087 test-mlogloss:0.914595+0.025807
## [337] train-mlogloss:0.011929+0.000087 test-mlogloss:0.914930+0.026101
## [338] train-mlogloss:0.011902+0.000087 test-mlogloss:0.915199+0.026187
## [339] train-mlogloss:0.011875+0.000087 test-mlogloss:0.915665+0.026365
## [340] train-mlogloss:0.011848+0.000084 test-mlogloss:0.915666+0.026523
## [341] train-mlogloss:0.011824+0.000083 test-mlogloss:0.915696+0.026555
## [342] train-mlogloss:0.011797+0.000080 test-mlogloss:0.915937+0.026435
## [343] train-mlogloss:0.011771+0.000080 test-mlogloss:0.916387+0.026992
## [344] train-mlogloss:0.011749+0.000079 test-mlogloss:0.916862+0.027145
## [345] train-mlogloss:0.011722+0.000082 test-mlogloss:0.917466+0.027186
## [346] train-mlogloss:0.011698+0.000082 test-mlogloss:0.917717+0.027080
## [347] train-mlogloss:0.011671+0.000080 test-mlogloss:0.917857+0.027201
## [348] train-mlogloss:0.011647+0.000076 test-mlogloss:0.918279+0.027339
## [349] train-mlogloss:0.011621+0.000077 test-mlogloss:0.918557+0.027031
## [350] train-mlogloss:0.011596+0.000075 test-mlogloss:0.919037+0.026950
## [351] train-mlogloss:0.011572+0.000075 test-mlogloss:0.919589+0.026801
## [352] train-mlogloss:0.011547+0.000078 test-mlogloss:0.919877+0.026994
## [353] train-mlogloss:0.011523+0.000077 test-mlogloss:0.920087+0.027056
## [354] train-mlogloss:0.011501+0.000078 test-mlogloss:0.920221+0.027301
## [355] train-mlogloss:0.011476+0.000075 test-mlogloss:0.920711+0.027119
## [356] train-mlogloss:0.011450+0.000076 test-mlogloss:0.921080+0.027115
## [357] train-mlogloss:0.011426+0.000074 test-mlogloss:0.921463+0.026949
## [358] train-mlogloss:0.011404+0.000073 test-mlogloss:0.922114+0.026848
## [359] train-mlogloss:0.011378+0.000070 test-mlogloss:0.922441+0.026649
## [360] train-mlogloss:0.011356+0.000072 test-mlogloss:0.922793+0.026809
## [361] train-mlogloss:0.011334+0.000073 test-mlogloss:0.922724+0.026764
## [362] train-mlogloss:0.011311+0.000073 test-mlogloss:0.923237+0.026966
## [363] train-mlogloss:0.011290+0.000075 test-mlogloss:0.923485+0.026907
## [364] train-mlogloss:0.011267+0.000075 test-mlogloss:0.924166+0.026854
## [365] train-mlogloss:0.011245+0.000075 test-mlogloss:0.924516+0.026818
## [366] train-mlogloss:0.011223+0.000075 test-mlogloss:0.924605+0.026725
## [367] train-mlogloss:0.011200+0.000075 test-mlogloss:0.924949+0.026777
## [368] train-mlogloss:0.011178+0.000075 test-mlogloss:0.925103+0.026778
## [369] train-mlogloss:0.011155+0.000074 test-mlogloss:0.925322+0.026796
## [370] train-mlogloss:0.011135+0.000074 test-mlogloss:0.925747+0.026910
## [371] train-mlogloss:0.011113+0.000072 test-mlogloss:0.926046+0.027237
## [372] train-mlogloss:0.011089+0.000071 test-mlogloss:0.926066+0.027398
## [373] train-mlogloss:0.011066+0.000074 test-mlogloss:0.926242+0.027494
## [374] train-mlogloss:0.011045+0.000072 test-mlogloss:0.926552+0.027573
## [375] train-mlogloss:0.011024+0.000071 test-mlogloss:0.926697+0.027491
## [376] train-mlogloss:0.011002+0.000073 test-mlogloss:0.926870+0.027320
## [377] train-mlogloss:0.010981+0.000074 test-mlogloss:0.927066+0.027431
## [378] train-mlogloss:0.010960+0.000073 test-mlogloss:0.927401+0.027414
## [379] train-mlogloss:0.010941+0.000072 test-mlogloss:0.927572+0.027624
## [380] train-mlogloss:0.010919+0.000071 test-mlogloss:0.928221+0.027571
## [381] train-mlogloss:0.010896+0.000072 test-mlogloss:0.928685+0.027452
## [382] train-mlogloss:0.010874+0.000072 test-mlogloss:0.928927+0.027619
## [383] train-mlogloss:0.010854+0.000070 test-mlogloss:0.929368+0.027675
## [384] train-mlogloss:0.010834+0.000070 test-mlogloss:0.929638+0.027544
## [385] train-mlogloss:0.010813+0.000067 test-mlogloss:0.929949+0.027412
## [386] train-mlogloss:0.010793+0.000069 test-mlogloss:0.930218+0.027666
## [387] train-mlogloss:0.010773+0.000069 test-mlogloss:0.929917+0.027793
## [388] train-mlogloss:0.010753+0.000066 test-mlogloss:0.930141+0.028007
## [389] train-mlogloss:0.010733+0.000068 test-mlogloss:0.930816+0.028104
## [390] train-mlogloss:0.010713+0.000066 test-mlogloss:0.931124+0.028100
## [391] train-mlogloss:0.010692+0.000070 test-mlogloss:0.931188+0.028133
## [392] train-mlogloss:0.010674+0.000070 test-mlogloss:0.931288+0.027724
## [393] train-mlogloss:0.010656+0.000068 test-mlogloss:0.931567+0.027753
## [394] train-mlogloss:0.010637+0.000067 test-mlogloss:0.932099+0.027956
## [395] train-mlogloss:0.010618+0.000067 test-mlogloss:0.932212+0.027854
## [396] train-mlogloss:0.010599+0.000066 test-mlogloss:0.932457+0.027895
## [397] train-mlogloss:0.010579+0.000065 test-mlogloss:0.933042+0.028066
## [398] train-mlogloss:0.010559+0.000064 test-mlogloss:0.933464+0.028021
## [399] train-mlogloss:0.010541+0.000063 test-mlogloss:0.933716+0.028025
## [400] train-mlogloss:0.010521+0.000062 test-mlogloss:0.933914+0.028010
## [401] train-mlogloss:0.010502+0.000062 test-mlogloss:0.934293+0.028031
## [402] train-mlogloss:0.010481+0.000063 test-mlogloss:0.934477+0.028075
## [403] train-mlogloss:0.010464+0.000064 test-mlogloss:0.934607+0.027993
## [404] train-mlogloss:0.010446+0.000063 test-mlogloss:0.934981+0.027861
## [405] train-mlogloss:0.010426+0.000063 test-mlogloss:0.935495+0.027959
## [406] train-mlogloss:0.010408+0.000065 test-mlogloss:0.935783+0.028016
## [407] train-mlogloss:0.010389+0.000063 test-mlogloss:0.936175+0.028104
## [408] train-mlogloss:0.010372+0.000064 test-mlogloss:0.936632+0.028124
## [409] train-mlogloss:0.010352+0.000062 test-mlogloss:0.936893+0.028434
## [410] train-mlogloss:0.010335+0.000063 test-mlogloss:0.936956+0.028679
## [411] train-mlogloss:0.010315+0.000061 test-mlogloss:0.937439+0.028390
## [412] train-mlogloss:0.010298+0.000060 test-mlogloss:0.937508+0.028484
## [413] train-mlogloss:0.010280+0.000061 test-mlogloss:0.937713+0.028452
## [414] train-mlogloss:0.010263+0.000061 test-mlogloss:0.937875+0.028579
## [415] train-mlogloss:0.010245+0.000062 test-mlogloss:0.938234+0.028546
## [416] train-mlogloss:0.010229+0.000059 test-mlogloss:0.938654+0.028797
## [417] train-mlogloss:0.010213+0.000059 test-mlogloss:0.938842+0.028705
## [418] train-mlogloss:0.010196+0.000058 test-mlogloss:0.938991+0.028403
## [419] train-mlogloss:0.010178+0.000055 test-mlogloss:0.939241+0.028429
## [420] train-mlogloss:0.010160+0.000054 test-mlogloss:0.939431+0.028709
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## [424] train-mlogloss:0.010098+0.000053 test-mlogloss:0.940457+0.028506
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## [426] train-mlogloss:0.010065+0.000051 test-mlogloss:0.940843+0.028685
## [427] train-mlogloss:0.010050+0.000050 test-mlogloss:0.941190+0.028814
## [428] train-mlogloss:0.010033+0.000050 test-mlogloss:0.941607+0.028675
## [429] train-mlogloss:0.010018+0.000051 test-mlogloss:0.941688+0.028525
## [430] train-mlogloss:0.010002+0.000051 test-mlogloss:0.942045+0.028447
## [431] train-mlogloss:0.009988+0.000051 test-mlogloss:0.942295+0.028539
## [432] train-mlogloss:0.009972+0.000051 test-mlogloss:0.942491+0.028693
## [433] train-mlogloss:0.009956+0.000051 test-mlogloss:0.942746+0.028816
## [434] train-mlogloss:0.009942+0.000051 test-mlogloss:0.942920+0.028670
## [435] train-mlogloss:0.009924+0.000050 test-mlogloss:0.943158+0.028656
## [436] train-mlogloss:0.009910+0.000050 test-mlogloss:0.943455+0.028660
## [437] train-mlogloss:0.009894+0.000050 test-mlogloss:0.943815+0.028628
## [438] train-mlogloss:0.009878+0.000050 test-mlogloss:0.944126+0.028621
## [439] train-mlogloss:0.009863+0.000050 test-mlogloss:0.944276+0.028584
## [440] train-mlogloss:0.009849+0.000049 test-mlogloss:0.944855+0.028671
## [441] train-mlogloss:0.009833+0.000049 test-mlogloss:0.945140+0.028572
## [442] train-mlogloss:0.009817+0.000050 test-mlogloss:0.945549+0.028446
## [443] train-mlogloss:0.009802+0.000050 test-mlogloss:0.945613+0.028550
## [444] train-mlogloss:0.009787+0.000051 test-mlogloss:0.945764+0.028642
## [445] train-mlogloss:0.009773+0.000050 test-mlogloss:0.946088+0.028670
## [446] train-mlogloss:0.009757+0.000050 test-mlogloss:0.946080+0.028690
## [447] train-mlogloss:0.009743+0.000051 test-mlogloss:0.946159+0.028429
## [448] train-mlogloss:0.009727+0.000050 test-mlogloss:0.946405+0.028446
## [449] train-mlogloss:0.009712+0.000049 test-mlogloss:0.946732+0.028469
## [450] train-mlogloss:0.009698+0.000051 test-mlogloss:0.946861+0.028567
## [451] train-mlogloss:0.009681+0.000051 test-mlogloss:0.947341+0.028632
## [452] train-mlogloss:0.009667+0.000051 test-mlogloss:0.947581+0.028396
## [453] train-mlogloss:0.009651+0.000051 test-mlogloss:0.947759+0.028281
## [454] train-mlogloss:0.009636+0.000049 test-mlogloss:0.948191+0.028377
## [455] train-mlogloss:0.009620+0.000050 test-mlogloss:0.948153+0.028335
## [456] train-mlogloss:0.009604+0.000050 test-mlogloss:0.948397+0.028564
## [457] train-mlogloss:0.009590+0.000050 test-mlogloss:0.948728+0.028785
## [458] train-mlogloss:0.009577+0.000050 test-mlogloss:0.949039+0.028716
## [459] train-mlogloss:0.009563+0.000049 test-mlogloss:0.949197+0.028822
## [460] train-mlogloss:0.009550+0.000049 test-mlogloss:0.949319+0.028699
## [461] train-mlogloss:0.009536+0.000049 test-mlogloss:0.949379+0.028810
## [462] train-mlogloss:0.009522+0.000048 test-mlogloss:0.949638+0.028792
## [463] train-mlogloss:0.009509+0.000048 test-mlogloss:0.949993+0.028785
## [464] train-mlogloss:0.009495+0.000048 test-mlogloss:0.950274+0.028828
## [465] train-mlogloss:0.009481+0.000047 test-mlogloss:0.950529+0.029024
## [466] train-mlogloss:0.009465+0.000047 test-mlogloss:0.950744+0.028935
## [467] train-mlogloss:0.009452+0.000045 test-mlogloss:0.950885+0.028846
## [468] train-mlogloss:0.009437+0.000045 test-mlogloss:0.950905+0.028770
## [469] train-mlogloss:0.009426+0.000046 test-mlogloss:0.951028+0.028581
## [470] train-mlogloss:0.009413+0.000046 test-mlogloss:0.951281+0.028836
## [471] train-mlogloss:0.009397+0.000048 test-mlogloss:0.951597+0.028966
## [472] train-mlogloss:0.009384+0.000050 test-mlogloss:0.951790+0.028708
## [473] train-mlogloss:0.009371+0.000050 test-mlogloss:0.951846+0.028831
## [474] train-mlogloss:0.009356+0.000048 test-mlogloss:0.952167+0.028600
## [475] train-mlogloss:0.009343+0.000049 test-mlogloss:0.952348+0.028603
## [476] train-mlogloss:0.009330+0.000050 test-mlogloss:0.952388+0.028574
## [477] train-mlogloss:0.009317+0.000049 test-mlogloss:0.952729+0.028693
## [478] train-mlogloss:0.009304+0.000049 test-mlogloss:0.952957+0.028712
## [479] train-mlogloss:0.009291+0.000048 test-mlogloss:0.953065+0.028525
## [480] train-mlogloss:0.009276+0.000050 test-mlogloss:0.953418+0.028711
## [481] train-mlogloss:0.009264+0.000051 test-mlogloss:0.953599+0.028805
## [482] train-mlogloss:0.009250+0.000050 test-mlogloss:0.953713+0.029081
## [483] train-mlogloss:0.009237+0.000049 test-mlogloss:0.953897+0.029114
## [484] train-mlogloss:0.009224+0.000049 test-mlogloss:0.954033+0.029186
## [485] train-mlogloss:0.009212+0.000049 test-mlogloss:0.954191+0.029302
## [486] train-mlogloss:0.009199+0.000048 test-mlogloss:0.954344+0.029667
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## [489] train-mlogloss:0.009159+0.000045 test-mlogloss:0.955100+0.029406
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## [493] train-mlogloss:0.009110+0.000044 test-mlogloss:0.956001+0.028954
## [494] train-mlogloss:0.009097+0.000044 test-mlogloss:0.956295+0.029111
## [495] train-mlogloss:0.009084+0.000044 test-mlogloss:0.956406+0.028979
## [496] train-mlogloss:0.009071+0.000043 test-mlogloss:0.956556+0.029173
## [497] train-mlogloss:0.009059+0.000045 test-mlogloss:0.956765+0.029102
## [498] train-mlogloss:0.009046+0.000044 test-mlogloss:0.957055+0.029208
## [499] train-mlogloss:0.009033+0.000045 test-mlogloss:0.957104+0.029187
## [500] train-mlogloss:0.009021+0.000045 test-mlogloss:0.957117+0.029107
## [1] train-mlogloss:0.538100+0.002562 test-mlogloss:0.558682+0.007809
## [2] train-mlogloss:0.509347+0.002564 test-mlogloss:0.546213+0.007028
## [3] train-mlogloss:0.497711+0.003005 test-mlogloss:0.545543+0.007404
## [4] train-mlogloss:0.489588+0.004225 test-mlogloss:0.547277+0.009693
## [5] train-mlogloss:0.484243+0.004696 test-mlogloss:0.549234+0.009120
## [6] train-mlogloss:0.479975+0.006649 test-mlogloss:0.551553+0.010973
## [7] train-mlogloss:0.474752+0.004999 test-mlogloss:0.554037+0.012336
## [8] train-mlogloss:0.469654+0.005276 test-mlogloss:0.557526+0.012897
## [9] train-mlogloss:0.462077+0.005260 test-mlogloss:0.562667+0.011630
## [10] train-mlogloss:0.456146+0.006326 test-mlogloss:0.564973+0.012041
## [11] train-mlogloss:0.450216+0.004768 test-mlogloss:0.566770+0.011309
## [12] train-mlogloss:0.444613+0.003875 test-mlogloss:0.570199+0.010987
## [13] train-mlogloss:0.438975+0.002211 test-mlogloss:0.573404+0.010007
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## [15] train-mlogloss:0.426869+0.004206 test-mlogloss:0.578244+0.011047
## [16] train-mlogloss:0.422031+0.004004 test-mlogloss:0.580295+0.010147
## [17] train-mlogloss:0.416675+0.004980 test-mlogloss:0.583521+0.008868
## [18] train-mlogloss:0.412244+0.003733 test-mlogloss:0.585255+0.010608
## [19] train-mlogloss:0.406124+0.001836 test-mlogloss:0.590125+0.011573
## [20] train-mlogloss:0.401144+0.004023 test-mlogloss:0.592844+0.009887
## [21] train-mlogloss:0.396485+0.001927 test-mlogloss:0.596405+0.012382
## [22] train-mlogloss:0.392608+0.000772 test-mlogloss:0.599303+0.014346
## [23] train-mlogloss:0.388494+0.002131 test-mlogloss:0.602011+0.014721
## [24] train-mlogloss:0.383780+0.003581 test-mlogloss:0.604483+0.015591
## [25] train-mlogloss:0.379837+0.004445 test-mlogloss:0.606367+0.017264
## [26] train-mlogloss:0.374651+0.005172 test-mlogloss:0.609822+0.018052
## [27] train-mlogloss:0.367870+0.005231 test-mlogloss:0.613124+0.018501
## [28] train-mlogloss:0.363992+0.007109 test-mlogloss:0.615662+0.017943
## [29] train-mlogloss:0.359095+0.007297 test-mlogloss:0.618270+0.017955
## [30] train-mlogloss:0.354845+0.006844 test-mlogloss:0.620182+0.017764
## [31] train-mlogloss:0.350308+0.006729 test-mlogloss:0.623170+0.018103
## [32] train-mlogloss:0.346256+0.007558 test-mlogloss:0.625241+0.018662
## [33] train-mlogloss:0.341257+0.008782 test-mlogloss:0.628621+0.019337
## [34] train-mlogloss:0.336979+0.010110 test-mlogloss:0.629488+0.018535
## [35] train-mlogloss:0.331730+0.008040 test-mlogloss:0.631745+0.018931
## [36] train-mlogloss:0.327477+0.007750 test-mlogloss:0.634535+0.018023
## [37] train-mlogloss:0.324928+0.006849 test-mlogloss:0.636821+0.017879
## [38] train-mlogloss:0.320627+0.006657 test-mlogloss:0.636637+0.017506
## [39] train-mlogloss:0.316789+0.005777 test-mlogloss:0.639132+0.017926
## [40] train-mlogloss:0.312542+0.005188 test-mlogloss:0.643633+0.016451
## [41] train-mlogloss:0.309883+0.005674 test-mlogloss:0.646819+0.015995
## [42] train-mlogloss:0.305488+0.005893 test-mlogloss:0.650338+0.016114
## [43] train-mlogloss:0.301492+0.007271 test-mlogloss:0.653290+0.018547
## [44] train-mlogloss:0.297781+0.007287 test-mlogloss:0.655174+0.018447
## [45] train-mlogloss:0.293637+0.006816 test-mlogloss:0.658189+0.018342
## [46] train-mlogloss:0.290147+0.005789 test-mlogloss:0.661038+0.018468
## [47] train-mlogloss:0.287067+0.005545 test-mlogloss:0.663379+0.018631
## [48] train-mlogloss:0.283631+0.005701 test-mlogloss:0.666450+0.019601
## [49] train-mlogloss:0.281835+0.005455 test-mlogloss:0.666718+0.019948
## [50] train-mlogloss:0.277328+0.005652 test-mlogloss:0.670164+0.021330
## [51] train-mlogloss:0.274510+0.005482 test-mlogloss:0.672561+0.022573
## [52] train-mlogloss:0.272039+0.004765 test-mlogloss:0.675252+0.023122
## [53] train-mlogloss:0.267025+0.005958 test-mlogloss:0.679043+0.024486
## [54] train-mlogloss:0.263895+0.006130 test-mlogloss:0.681356+0.022884
## [55] train-mlogloss:0.260883+0.005959 test-mlogloss:0.681860+0.023147
## [56] train-mlogloss:0.258073+0.006813 test-mlogloss:0.684449+0.024545
## [57] train-mlogloss:0.255513+0.006407 test-mlogloss:0.686992+0.024000
## [58] train-mlogloss:0.253548+0.005669 test-mlogloss:0.687860+0.022901
## [59] train-mlogloss:0.251254+0.005354 test-mlogloss:0.690244+0.022440
## [60] train-mlogloss:0.248298+0.005924 test-mlogloss:0.691803+0.022318
## [61] train-mlogloss:0.245781+0.005950 test-mlogloss:0.694207+0.022751
## [62] train-mlogloss:0.243479+0.006479 test-mlogloss:0.697345+0.023424
## [63] train-mlogloss:0.240442+0.007297 test-mlogloss:0.700902+0.025899
## [64] train-mlogloss:0.237417+0.007967 test-mlogloss:0.702063+0.027387
## [65] train-mlogloss:0.234651+0.008208 test-mlogloss:0.703292+0.028735
## [66] train-mlogloss:0.232522+0.008933 test-mlogloss:0.704933+0.029250
## [67] train-mlogloss:0.230010+0.009470 test-mlogloss:0.707722+0.029511
## [68] train-mlogloss:0.228052+0.009905 test-mlogloss:0.709531+0.029259
## [69] train-mlogloss:0.225638+0.010521 test-mlogloss:0.710262+0.029360
## [70] train-mlogloss:0.222785+0.011322 test-mlogloss:0.714110+0.031062
## [71] train-mlogloss:0.219987+0.010702 test-mlogloss:0.715462+0.030580
## [72] train-mlogloss:0.217906+0.010782 test-mlogloss:0.717741+0.029305
## [73] train-mlogloss:0.214605+0.010482 test-mlogloss:0.719645+0.028780
## [74] train-mlogloss:0.212129+0.010284 test-mlogloss:0.723632+0.026391
## [75] train-mlogloss:0.209422+0.010832 test-mlogloss:0.724836+0.028177
## [76] train-mlogloss:0.207411+0.010881 test-mlogloss:0.727870+0.029270
## [77] train-mlogloss:0.204344+0.010269 test-mlogloss:0.730727+0.029774
## [78] train-mlogloss:0.202332+0.009830 test-mlogloss:0.732750+0.029660
## [79] train-mlogloss:0.200430+0.009894 test-mlogloss:0.734425+0.030592
## [80] train-mlogloss:0.198269+0.009786 test-mlogloss:0.734825+0.030442
## [81] train-mlogloss:0.195621+0.009233 test-mlogloss:0.736458+0.029420
## [82] train-mlogloss:0.192658+0.009874 test-mlogloss:0.739197+0.030216
## [83] train-mlogloss:0.190857+0.010279 test-mlogloss:0.740242+0.030605
## [84] train-mlogloss:0.188164+0.009970 test-mlogloss:0.741866+0.031268
## [85] train-mlogloss:0.186421+0.008978 test-mlogloss:0.742610+0.031100
## [86] train-mlogloss:0.184461+0.008519 test-mlogloss:0.744056+0.031247
## [87] train-mlogloss:0.181997+0.007482 test-mlogloss:0.745886+0.030945
## [88] train-mlogloss:0.179953+0.007055 test-mlogloss:0.747516+0.032567
## [89] train-mlogloss:0.177174+0.007569 test-mlogloss:0.748842+0.031369
## [90] train-mlogloss:0.175108+0.007204 test-mlogloss:0.750311+0.031575
## [91] train-mlogloss:0.173325+0.007838 test-mlogloss:0.751351+0.033152
## [92] train-mlogloss:0.170945+0.007433 test-mlogloss:0.754438+0.033096
## [93] train-mlogloss:0.168236+0.007648 test-mlogloss:0.757082+0.032403
## [94] train-mlogloss:0.166606+0.007722 test-mlogloss:0.758716+0.032336
## [95] train-mlogloss:0.165210+0.007608 test-mlogloss:0.760471+0.032551
## [96] train-mlogloss:0.163701+0.007454 test-mlogloss:0.760469+0.031685
## [97] train-mlogloss:0.162549+0.006677 test-mlogloss:0.761826+0.031612
## [98] train-mlogloss:0.160678+0.006889 test-mlogloss:0.763390+0.032511
## [99] train-mlogloss:0.159429+0.006902 test-mlogloss:0.765330+0.031849
## [100] train-mlogloss:0.158002+0.006874 test-mlogloss:0.766841+0.032475
## [101] train-mlogloss:0.156289+0.006923 test-mlogloss:0.768525+0.032860
## [102] train-mlogloss:0.154366+0.007108 test-mlogloss:0.769715+0.032734
## [103] train-mlogloss:0.152965+0.007285 test-mlogloss:0.772468+0.033966
## [104] train-mlogloss:0.150837+0.006647 test-mlogloss:0.776112+0.035558
## [105] train-mlogloss:0.149227+0.006413 test-mlogloss:0.776840+0.034418
## [106] train-mlogloss:0.147461+0.005958 test-mlogloss:0.778689+0.033545
## [107] train-mlogloss:0.145518+0.006477 test-mlogloss:0.781684+0.034164
## [108] train-mlogloss:0.144102+0.006650 test-mlogloss:0.783802+0.034506
## [109] train-mlogloss:0.142490+0.006809 test-mlogloss:0.785847+0.034334
## [110] train-mlogloss:0.141303+0.006741 test-mlogloss:0.786672+0.034373
## [111] train-mlogloss:0.139357+0.006910 test-mlogloss:0.788883+0.033951
## [112] train-mlogloss:0.137391+0.006388 test-mlogloss:0.789780+0.035407
## [113] train-mlogloss:0.136188+0.006010 test-mlogloss:0.790612+0.035377
## [114] train-mlogloss:0.134731+0.006079 test-mlogloss:0.790697+0.034848
## [115] train-mlogloss:0.133737+0.006376 test-mlogloss:0.792705+0.034637
## [116] train-mlogloss:0.132106+0.006478 test-mlogloss:0.793682+0.033000
## [117] train-mlogloss:0.130974+0.006648 test-mlogloss:0.794395+0.032422
## [118] train-mlogloss:0.129476+0.006470 test-mlogloss:0.795717+0.032145
## [119] train-mlogloss:0.128302+0.006491 test-mlogloss:0.796282+0.033096
## [120] train-mlogloss:0.127130+0.005878 test-mlogloss:0.797724+0.033871
## [121] train-mlogloss:0.125922+0.005678 test-mlogloss:0.799276+0.033058
## [122] train-mlogloss:0.124710+0.005058 test-mlogloss:0.800220+0.033773
## [123] train-mlogloss:0.123270+0.004845 test-mlogloss:0.801608+0.034163
## [124] train-mlogloss:0.121808+0.004965 test-mlogloss:0.803067+0.033343
## [125] train-mlogloss:0.120611+0.004806 test-mlogloss:0.804776+0.033038
## [126] train-mlogloss:0.119602+0.004746 test-mlogloss:0.805149+0.033270
## [127] train-mlogloss:0.118255+0.005078 test-mlogloss:0.807787+0.031329
## [128] train-mlogloss:0.117066+0.004594 test-mlogloss:0.808728+0.031753
## [129] train-mlogloss:0.116023+0.004698 test-mlogloss:0.810143+0.031540
## [130] train-mlogloss:0.114602+0.004543 test-mlogloss:0.811524+0.032192
## [131] train-mlogloss:0.113452+0.004590 test-mlogloss:0.811784+0.032546
## [132] train-mlogloss:0.112485+0.004729 test-mlogloss:0.812021+0.032308
## [133] train-mlogloss:0.111275+0.004801 test-mlogloss:0.814435+0.032403
## [134] train-mlogloss:0.110122+0.004990 test-mlogloss:0.816168+0.033050
## [135] train-mlogloss:0.109081+0.005328 test-mlogloss:0.818502+0.034784
## [136] train-mlogloss:0.107973+0.005012 test-mlogloss:0.820120+0.035046
## [137] train-mlogloss:0.106984+0.004800 test-mlogloss:0.822270+0.034852
## [138] train-mlogloss:0.106051+0.004221 test-mlogloss:0.824249+0.035544
## [139] train-mlogloss:0.105299+0.004210 test-mlogloss:0.825055+0.035997
## [140] train-mlogloss:0.104649+0.004182 test-mlogloss:0.826247+0.036326
## [141] train-mlogloss:0.103845+0.004171 test-mlogloss:0.828100+0.036908
## [142] train-mlogloss:0.102865+0.004427 test-mlogloss:0.828840+0.037645
## [143] train-mlogloss:0.101890+0.004553 test-mlogloss:0.830350+0.037407
## [144] train-mlogloss:0.101154+0.004864 test-mlogloss:0.831549+0.038076
## [145] train-mlogloss:0.099631+0.004449 test-mlogloss:0.833601+0.037408
## [146] train-mlogloss:0.098586+0.004351 test-mlogloss:0.836846+0.037603
## [147] train-mlogloss:0.097662+0.004424 test-mlogloss:0.838162+0.037602
## [148] train-mlogloss:0.096620+0.003979 test-mlogloss:0.839390+0.037853
## [149] train-mlogloss:0.095587+0.003750 test-mlogloss:0.840790+0.037694
## [150] train-mlogloss:0.094585+0.003670 test-mlogloss:0.842064+0.037849
## [151] train-mlogloss:0.093782+0.003665 test-mlogloss:0.842760+0.038123
## [152] train-mlogloss:0.092709+0.003210 test-mlogloss:0.844796+0.038178
## [153] train-mlogloss:0.091813+0.003369 test-mlogloss:0.846559+0.037322
## [154] train-mlogloss:0.091081+0.003298 test-mlogloss:0.845860+0.037563
## [155] train-mlogloss:0.090148+0.003289 test-mlogloss:0.847531+0.037853
## [156] train-mlogloss:0.089487+0.003492 test-mlogloss:0.849074+0.037752
## [157] train-mlogloss:0.088598+0.003718 test-mlogloss:0.850291+0.038197
## [158] train-mlogloss:0.087978+0.003924 test-mlogloss:0.851946+0.038732
## [159] train-mlogloss:0.087294+0.004184 test-mlogloss:0.853699+0.039145
## [160] train-mlogloss:0.086045+0.003906 test-mlogloss:0.856566+0.039572
## [161] train-mlogloss:0.085385+0.003755 test-mlogloss:0.857902+0.038867
## [162] train-mlogloss:0.084338+0.003720 test-mlogloss:0.858964+0.038512
## [163] train-mlogloss:0.083481+0.003804 test-mlogloss:0.860840+0.039178
## [164] train-mlogloss:0.082704+0.003782 test-mlogloss:0.862002+0.039568
## [165] train-mlogloss:0.081915+0.003723 test-mlogloss:0.863324+0.040511
## [166] train-mlogloss:0.081130+0.003487 test-mlogloss:0.863789+0.040302
## [167] train-mlogloss:0.080533+0.003331 test-mlogloss:0.865184+0.040853
## [168] train-mlogloss:0.080055+0.002916 test-mlogloss:0.867038+0.040907
## [169] train-mlogloss:0.079650+0.002840 test-mlogloss:0.867248+0.040748
## [170] train-mlogloss:0.078945+0.002632 test-mlogloss:0.868490+0.040603
## [171] train-mlogloss:0.078337+0.002630 test-mlogloss:0.869175+0.040126
## [172] train-mlogloss:0.077549+0.002546 test-mlogloss:0.871733+0.041317
## [173] train-mlogloss:0.076805+0.002805 test-mlogloss:0.872744+0.040539
## [174] train-mlogloss:0.076066+0.002751 test-mlogloss:0.874158+0.040347
## [175] train-mlogloss:0.075238+0.002529 test-mlogloss:0.876689+0.040908
## [176] train-mlogloss:0.074670+0.002401 test-mlogloss:0.877776+0.041090
## [177] train-mlogloss:0.073930+0.001998 test-mlogloss:0.878680+0.041068
## [178] train-mlogloss:0.073082+0.001954 test-mlogloss:0.881117+0.040799
## [179] train-mlogloss:0.072267+0.001957 test-mlogloss:0.882859+0.040828
## [180] train-mlogloss:0.071581+0.002320 test-mlogloss:0.883545+0.040887
## [181] train-mlogloss:0.071010+0.002403 test-mlogloss:0.884805+0.040771
## [182] train-mlogloss:0.070220+0.002577 test-mlogloss:0.885936+0.041089
## [183] train-mlogloss:0.069712+0.002495 test-mlogloss:0.886994+0.040278
## [184] train-mlogloss:0.069269+0.002459 test-mlogloss:0.887983+0.040143
## [185] train-mlogloss:0.068587+0.002360 test-mlogloss:0.889981+0.039991
## [186] train-mlogloss:0.067984+0.002112 test-mlogloss:0.891802+0.039576
## [187] train-mlogloss:0.067173+0.002154 test-mlogloss:0.894478+0.040284
## [188] train-mlogloss:0.066728+0.002066 test-mlogloss:0.895444+0.040122
## [189] train-mlogloss:0.066337+0.002103 test-mlogloss:0.896392+0.040050
## [190] train-mlogloss:0.065788+0.002274 test-mlogloss:0.897203+0.038202
## [191] train-mlogloss:0.065197+0.002368 test-mlogloss:0.899411+0.038002
## [192] train-mlogloss:0.064818+0.002460 test-mlogloss:0.899979+0.038921
## [193] train-mlogloss:0.064240+0.002721 test-mlogloss:0.901856+0.039669
## [194] train-mlogloss:0.063729+0.002860 test-mlogloss:0.902495+0.039628
## [195] train-mlogloss:0.063198+0.002779 test-mlogloss:0.904049+0.041040
## [196] train-mlogloss:0.062770+0.002840 test-mlogloss:0.904726+0.040960
## [197] train-mlogloss:0.062180+0.002981 test-mlogloss:0.905863+0.042902
## [198] train-mlogloss:0.061630+0.003001 test-mlogloss:0.907763+0.043550
## [199] train-mlogloss:0.061099+0.002866 test-mlogloss:0.908197+0.042872
## [200] train-mlogloss:0.060588+0.002797 test-mlogloss:0.908808+0.042276
## [201] train-mlogloss:0.060341+0.002845 test-mlogloss:0.910417+0.041997
## [202] train-mlogloss:0.060066+0.002924 test-mlogloss:0.911238+0.041916
## [203] train-mlogloss:0.059770+0.003067 test-mlogloss:0.911547+0.042367
## [204] train-mlogloss:0.059163+0.002981 test-mlogloss:0.913148+0.042251
## [205] train-mlogloss:0.058754+0.002887 test-mlogloss:0.914621+0.042584
## [206] train-mlogloss:0.058272+0.002819 test-mlogloss:0.916576+0.042932
## [207] train-mlogloss:0.058002+0.002793 test-mlogloss:0.917502+0.042913
## [208] train-mlogloss:0.057543+0.002814 test-mlogloss:0.918289+0.043076
## [209] train-mlogloss:0.056950+0.002646 test-mlogloss:0.919583+0.042785
## [210] train-mlogloss:0.056389+0.002489 test-mlogloss:0.919815+0.043422
## [211] train-mlogloss:0.056052+0.002380 test-mlogloss:0.920291+0.043569
## [212] train-mlogloss:0.055759+0.002245 test-mlogloss:0.920867+0.042874
## [213] train-mlogloss:0.055517+0.002297 test-mlogloss:0.922066+0.042852
## [214] train-mlogloss:0.055149+0.002146 test-mlogloss:0.922992+0.043600
## [215] train-mlogloss:0.054650+0.002058 test-mlogloss:0.924214+0.042051
## [216] train-mlogloss:0.054295+0.001983 test-mlogloss:0.924958+0.042787
## [217] train-mlogloss:0.053860+0.001802 test-mlogloss:0.926424+0.042984
## [218] train-mlogloss:0.053526+0.001733 test-mlogloss:0.927454+0.043082
## [219] train-mlogloss:0.053348+0.001750 test-mlogloss:0.928251+0.043288
## [220] train-mlogloss:0.053039+0.001713 test-mlogloss:0.929585+0.043120
## [221] train-mlogloss:0.052624+0.001651 test-mlogloss:0.930314+0.042767
## [222] train-mlogloss:0.052204+0.001435 test-mlogloss:0.931665+0.043670
## [223] train-mlogloss:0.051958+0.001343 test-mlogloss:0.932319+0.043579
## [224] train-mlogloss:0.051542+0.001385 test-mlogloss:0.932925+0.043511
## [225] train-mlogloss:0.051170+0.001382 test-mlogloss:0.934327+0.043234
## [226] train-mlogloss:0.050746+0.001251 test-mlogloss:0.934334+0.043305
## [227] train-mlogloss:0.050376+0.001268 test-mlogloss:0.935154+0.043482
## [228] train-mlogloss:0.049990+0.001392 test-mlogloss:0.936031+0.044498
## [229] train-mlogloss:0.049528+0.001400 test-mlogloss:0.937209+0.045889
## [230] train-mlogloss:0.049185+0.001401 test-mlogloss:0.938629+0.045315
## [231] train-mlogloss:0.048907+0.001439 test-mlogloss:0.938929+0.044516
## [232] train-mlogloss:0.048477+0.001506 test-mlogloss:0.940737+0.045518
## [233] train-mlogloss:0.048069+0.001597 test-mlogloss:0.942592+0.045396
## [234] train-mlogloss:0.047775+0.001659 test-mlogloss:0.943949+0.045204
## [235] train-mlogloss:0.047452+0.001699 test-mlogloss:0.945479+0.045582
## [236] train-mlogloss:0.047003+0.001609 test-mlogloss:0.945742+0.045997
## [237] train-mlogloss:0.046703+0.001720 test-mlogloss:0.945886+0.046049
## [238] train-mlogloss:0.046401+0.001667 test-mlogloss:0.946679+0.044631
## [239] train-mlogloss:0.046102+0.001550 test-mlogloss:0.947626+0.044301
## [240] train-mlogloss:0.045828+0.001534 test-mlogloss:0.949133+0.044545
## [241] train-mlogloss:0.045559+0.001492 test-mlogloss:0.949886+0.044051
## [242] train-mlogloss:0.045364+0.001459 test-mlogloss:0.950723+0.044230
## [243] train-mlogloss:0.045177+0.001442 test-mlogloss:0.951837+0.044275
## [244] train-mlogloss:0.044882+0.001420 test-mlogloss:0.952225+0.044267
## [245] train-mlogloss:0.044522+0.001513 test-mlogloss:0.953428+0.043254
## [246] train-mlogloss:0.044095+0.001496 test-mlogloss:0.954014+0.042903
## [247] train-mlogloss:0.043810+0.001472 test-mlogloss:0.955010+0.043566
## [248] train-mlogloss:0.043466+0.001413 test-mlogloss:0.956202+0.042703
## [249] train-mlogloss:0.043171+0.001379 test-mlogloss:0.957204+0.042925
## [250] train-mlogloss:0.042902+0.001473 test-mlogloss:0.957703+0.042730
## [251] train-mlogloss:0.042545+0.001527 test-mlogloss:0.958538+0.042941
## [252] train-mlogloss:0.042227+0.001421 test-mlogloss:0.958945+0.043380
## [253] train-mlogloss:0.041969+0.001388 test-mlogloss:0.959631+0.044052
## [254] train-mlogloss:0.041805+0.001370 test-mlogloss:0.960386+0.044099
## [255] train-mlogloss:0.041648+0.001313 test-mlogloss:0.960844+0.044186
## [256] train-mlogloss:0.041381+0.001373 test-mlogloss:0.962599+0.044202
## [257] train-mlogloss:0.041058+0.001280 test-mlogloss:0.962099+0.044029
## [258] train-mlogloss:0.040794+0.001279 test-mlogloss:0.962464+0.043982
## [259] train-mlogloss:0.040620+0.001286 test-mlogloss:0.963029+0.044786
## [260] train-mlogloss:0.040400+0.001302 test-mlogloss:0.964206+0.044682
## [261] train-mlogloss:0.040095+0.001370 test-mlogloss:0.965818+0.044675
## [262] train-mlogloss:0.039807+0.001436 test-mlogloss:0.966274+0.044248
## [263] train-mlogloss:0.039537+0.001442 test-mlogloss:0.967489+0.044710
## [264] train-mlogloss:0.039330+0.001408 test-mlogloss:0.968819+0.044625
## [265] train-mlogloss:0.039156+0.001381 test-mlogloss:0.968355+0.044888
## [266] train-mlogloss:0.038893+0.001452 test-mlogloss:0.970511+0.044745
## [267] train-mlogloss:0.038745+0.001435 test-mlogloss:0.971012+0.044914
## [268] train-mlogloss:0.038505+0.001488 test-mlogloss:0.972030+0.045305
## [269] train-mlogloss:0.038332+0.001478 test-mlogloss:0.972683+0.044810
## [270] train-mlogloss:0.038180+0.001441 test-mlogloss:0.972954+0.045419
## [271] train-mlogloss:0.037978+0.001414 test-mlogloss:0.973158+0.045732
## [272] train-mlogloss:0.037803+0.001435 test-mlogloss:0.974103+0.045708
## [273] train-mlogloss:0.037507+0.001462 test-mlogloss:0.975261+0.045361
## [274] train-mlogloss:0.037297+0.001529 test-mlogloss:0.976535+0.046437
## [275] train-mlogloss:0.037026+0.001489 test-mlogloss:0.976303+0.045559
## [276] train-mlogloss:0.036825+0.001462 test-mlogloss:0.977269+0.045475
## [277] train-mlogloss:0.036548+0.001417 test-mlogloss:0.978737+0.044641
## [278] train-mlogloss:0.036345+0.001428 test-mlogloss:0.979125+0.044270
## [279] train-mlogloss:0.036146+0.001404 test-mlogloss:0.979888+0.044252
## [280] train-mlogloss:0.035997+0.001338 test-mlogloss:0.980542+0.044306
## [281] train-mlogloss:0.035830+0.001299 test-mlogloss:0.981117+0.043818
## [282] train-mlogloss:0.035635+0.001207 test-mlogloss:0.982613+0.043446
## [283] train-mlogloss:0.035412+0.001275 test-mlogloss:0.983382+0.043485
## [284] train-mlogloss:0.035219+0.001260 test-mlogloss:0.984174+0.044317
## [285] train-mlogloss:0.034984+0.001284 test-mlogloss:0.985162+0.044977
## [286] train-mlogloss:0.034728+0.001402 test-mlogloss:0.986242+0.044636
## [287] train-mlogloss:0.034414+0.001392 test-mlogloss:0.988073+0.044480
## [288] train-mlogloss:0.034139+0.001402 test-mlogloss:0.988675+0.044539
## [289] train-mlogloss:0.033884+0.001394 test-mlogloss:0.990348+0.044313
## [290] train-mlogloss:0.033729+0.001363 test-mlogloss:0.990639+0.044423
## [291] train-mlogloss:0.033588+0.001351 test-mlogloss:0.991943+0.044452
## [292] train-mlogloss:0.033339+0.001371 test-mlogloss:0.992873+0.042754
## [293] train-mlogloss:0.033193+0.001395 test-mlogloss:0.993507+0.042804
## [294] train-mlogloss:0.032986+0.001380 test-mlogloss:0.994714+0.042908
## [295] train-mlogloss:0.032793+0.001391 test-mlogloss:0.995156+0.042400
## [296] train-mlogloss:0.032569+0.001430 test-mlogloss:0.995854+0.042439
## [297] train-mlogloss:0.032344+0.001332 test-mlogloss:0.996967+0.041927
## [298] train-mlogloss:0.032158+0.001334 test-mlogloss:0.998200+0.041845
## [299] train-mlogloss:0.031969+0.001268 test-mlogloss:0.999029+0.041801
## [300] train-mlogloss:0.031825+0.001234 test-mlogloss:0.999313+0.040736
## [301] train-mlogloss:0.031711+0.001221 test-mlogloss:0.999866+0.040823
## [302] train-mlogloss:0.031558+0.001142 test-mlogloss:1.001006+0.041110
## [303] train-mlogloss:0.031422+0.001094 test-mlogloss:1.002118+0.041059
## [304] train-mlogloss:0.031219+0.001055 test-mlogloss:1.003138+0.042016
## [305] train-mlogloss:0.031024+0.000991 test-mlogloss:1.004100+0.041954
## [306] train-mlogloss:0.030908+0.000962 test-mlogloss:1.004660+0.041653
## [307] train-mlogloss:0.030742+0.000958 test-mlogloss:1.005260+0.041566
## [308] train-mlogloss:0.030563+0.000952 test-mlogloss:1.005953+0.042630
## [309] train-mlogloss:0.030339+0.000942 test-mlogloss:1.006588+0.042203
## [310] train-mlogloss:0.030141+0.000890 test-mlogloss:1.006868+0.041537
## [311] train-mlogloss:0.029885+0.000927 test-mlogloss:1.008273+0.042147
## [312] train-mlogloss:0.029757+0.000894 test-mlogloss:1.009593+0.041757
## [313] train-mlogloss:0.029616+0.000874 test-mlogloss:1.010676+0.042384
## [314] train-mlogloss:0.029435+0.000851 test-mlogloss:1.011144+0.042930
## [315] train-mlogloss:0.029213+0.000839 test-mlogloss:1.013133+0.043188
## [316] train-mlogloss:0.029007+0.000840 test-mlogloss:1.014228+0.044217
## [317] train-mlogloss:0.028834+0.000805 test-mlogloss:1.015028+0.043526
## [318] train-mlogloss:0.028693+0.000798 test-mlogloss:1.015656+0.043506
## [319] train-mlogloss:0.028548+0.000754 test-mlogloss:1.016795+0.042439
## [320] train-mlogloss:0.028416+0.000780 test-mlogloss:1.017353+0.042378
## [321] train-mlogloss:0.028312+0.000780 test-mlogloss:1.017886+0.042509
## [322] train-mlogloss:0.028118+0.000795 test-mlogloss:1.019044+0.042643
## [323] train-mlogloss:0.027948+0.000796 test-mlogloss:1.020924+0.040700
## [324] train-mlogloss:0.027806+0.000793 test-mlogloss:1.021582+0.040819
## [325] train-mlogloss:0.027673+0.000762 test-mlogloss:1.021957+0.040864
## [326] train-mlogloss:0.027582+0.000736 test-mlogloss:1.023126+0.041250
## [327] train-mlogloss:0.027460+0.000764 test-mlogloss:1.023025+0.041710
## [328] train-mlogloss:0.027293+0.000793 test-mlogloss:1.024704+0.041872
## [329] train-mlogloss:0.027129+0.000825 test-mlogloss:1.024647+0.041552
## [330] train-mlogloss:0.027009+0.000870 test-mlogloss:1.025358+0.041965
## [331] train-mlogloss:0.026926+0.000876 test-mlogloss:1.026082+0.042524
## [332] train-mlogloss:0.026736+0.000829 test-mlogloss:1.028123+0.042984
## [333] train-mlogloss:0.026564+0.000815 test-mlogloss:1.028697+0.043145
## [334] train-mlogloss:0.026416+0.000822 test-mlogloss:1.030640+0.043996
## [335] train-mlogloss:0.026287+0.000867 test-mlogloss:1.031499+0.044186
## [336] train-mlogloss:0.026125+0.000856 test-mlogloss:1.032886+0.043676
## [337] train-mlogloss:0.026034+0.000884 test-mlogloss:1.033642+0.043438
## [338] train-mlogloss:0.025927+0.000865 test-mlogloss:1.034213+0.042887
## [339] train-mlogloss:0.025838+0.000866 test-mlogloss:1.034347+0.043005
## [340] train-mlogloss:0.025657+0.000836 test-mlogloss:1.035937+0.043933
## [341] train-mlogloss:0.025526+0.000849 test-mlogloss:1.036517+0.043898
## [342] train-mlogloss:0.025413+0.000812 test-mlogloss:1.036069+0.044273
## [343] train-mlogloss:0.025280+0.000783 test-mlogloss:1.036296+0.044777
## [344] train-mlogloss:0.025133+0.000771 test-mlogloss:1.036730+0.044352
## [345] train-mlogloss:0.025008+0.000739 test-mlogloss:1.037028+0.044595
## [346] train-mlogloss:0.024875+0.000747 test-mlogloss:1.037916+0.044321
## [347] train-mlogloss:0.024728+0.000727 test-mlogloss:1.038957+0.044304
## [348] train-mlogloss:0.024622+0.000711 test-mlogloss:1.039426+0.044644
## [349] train-mlogloss:0.024501+0.000658 test-mlogloss:1.040623+0.044971
## [350] train-mlogloss:0.024397+0.000627 test-mlogloss:1.042145+0.044162
## [351] train-mlogloss:0.024310+0.000627 test-mlogloss:1.043016+0.044172
## [352] train-mlogloss:0.024210+0.000591 test-mlogloss:1.043349+0.044246
## [353] train-mlogloss:0.024087+0.000594 test-mlogloss:1.043250+0.044273
## [354] train-mlogloss:0.024015+0.000619 test-mlogloss:1.043726+0.044403
## [355] train-mlogloss:0.023925+0.000588 test-mlogloss:1.044626+0.044740
## [356] train-mlogloss:0.023854+0.000600 test-mlogloss:1.045663+0.044888
## [357] train-mlogloss:0.023755+0.000576 test-mlogloss:1.046905+0.044755
## [358] train-mlogloss:0.023608+0.000568 test-mlogloss:1.047999+0.044464
## [359] train-mlogloss:0.023512+0.000587 test-mlogloss:1.048191+0.044702
## [360] train-mlogloss:0.023389+0.000611 test-mlogloss:1.047966+0.044802
## [361] train-mlogloss:0.023287+0.000600 test-mlogloss:1.048534+0.045429
## [362] train-mlogloss:0.023203+0.000582 test-mlogloss:1.048898+0.044706
## [363] train-mlogloss:0.023093+0.000564 test-mlogloss:1.049900+0.045144
## [364] train-mlogloss:0.022970+0.000556 test-mlogloss:1.051464+0.045218
## [365] train-mlogloss:0.022855+0.000546 test-mlogloss:1.051756+0.045445
## [366] train-mlogloss:0.022745+0.000534 test-mlogloss:1.053387+0.045848
## [367] train-mlogloss:0.022639+0.000530 test-mlogloss:1.053457+0.046068
## [368] train-mlogloss:0.022498+0.000481 test-mlogloss:1.054187+0.046147
## [369] train-mlogloss:0.022428+0.000476 test-mlogloss:1.054438+0.046186
## [370] train-mlogloss:0.022345+0.000493 test-mlogloss:1.055050+0.046423
## [371] train-mlogloss:0.022201+0.000469 test-mlogloss:1.055905+0.046583
## [372] train-mlogloss:0.022086+0.000483 test-mlogloss:1.056503+0.046775
## [373] train-mlogloss:0.021972+0.000472 test-mlogloss:1.057775+0.046325
## [374] train-mlogloss:0.021856+0.000445 test-mlogloss:1.058264+0.047000
## [375] train-mlogloss:0.021783+0.000475 test-mlogloss:1.059211+0.046490
## [376] train-mlogloss:0.021725+0.000465 test-mlogloss:1.059982+0.047230
## [377] train-mlogloss:0.021645+0.000458 test-mlogloss:1.061215+0.048363
## [378] train-mlogloss:0.021536+0.000423 test-mlogloss:1.061901+0.048672
## [379] train-mlogloss:0.021384+0.000430 test-mlogloss:1.062296+0.048147
## [380] train-mlogloss:0.021258+0.000422 test-mlogloss:1.062936+0.048522
## [381] train-mlogloss:0.021146+0.000431 test-mlogloss:1.063306+0.048272
## [382] train-mlogloss:0.021027+0.000460 test-mlogloss:1.063353+0.049208
## [383] train-mlogloss:0.020953+0.000468 test-mlogloss:1.063787+0.049223
## [384] train-mlogloss:0.020878+0.000491 test-mlogloss:1.063825+0.049357
## [385] train-mlogloss:0.020812+0.000505 test-mlogloss:1.065002+0.049867
## [386] train-mlogloss:0.020737+0.000514 test-mlogloss:1.064612+0.050200
## [387] train-mlogloss:0.020661+0.000513 test-mlogloss:1.065542+0.050618
## [388] train-mlogloss:0.020589+0.000523 test-mlogloss:1.065904+0.050414
## [389] train-mlogloss:0.020480+0.000516 test-mlogloss:1.067701+0.051119
## [390] train-mlogloss:0.020395+0.000520 test-mlogloss:1.067997+0.050764
## [391] train-mlogloss:0.020289+0.000525 test-mlogloss:1.068518+0.050148
## [392] train-mlogloss:0.020204+0.000491 test-mlogloss:1.069255+0.049695
## [393] train-mlogloss:0.020105+0.000499 test-mlogloss:1.070075+0.050012
## [394] train-mlogloss:0.020039+0.000487 test-mlogloss:1.070552+0.050382
## [395] train-mlogloss:0.019983+0.000469 test-mlogloss:1.070522+0.050325
## [396] train-mlogloss:0.019885+0.000456 test-mlogloss:1.071918+0.050247
## [397] train-mlogloss:0.019788+0.000473 test-mlogloss:1.072429+0.050454
## [398] train-mlogloss:0.019714+0.000460 test-mlogloss:1.072787+0.050398
## [399] train-mlogloss:0.019656+0.000446 test-mlogloss:1.072930+0.050511
## [400] train-mlogloss:0.019559+0.000474 test-mlogloss:1.074301+0.050037
## [401] train-mlogloss:0.019478+0.000500 test-mlogloss:1.073919+0.049729
## [402] train-mlogloss:0.019409+0.000487 test-mlogloss:1.074385+0.050417
## [403] train-mlogloss:0.019335+0.000494 test-mlogloss:1.074299+0.050745
## [404] train-mlogloss:0.019230+0.000483 test-mlogloss:1.074883+0.050695
## [405] train-mlogloss:0.019154+0.000518 test-mlogloss:1.075524+0.050742
## [406] train-mlogloss:0.019054+0.000508 test-mlogloss:1.076861+0.050851
## [407] train-mlogloss:0.018973+0.000510 test-mlogloss:1.077615+0.050652
## [408] train-mlogloss:0.018908+0.000536 test-mlogloss:1.077670+0.050585
## [409] train-mlogloss:0.018833+0.000532 test-mlogloss:1.077843+0.051190
## [410] train-mlogloss:0.018783+0.000543 test-mlogloss:1.077952+0.050729
## [411] train-mlogloss:0.018727+0.000535 test-mlogloss:1.077975+0.050745
## [412] train-mlogloss:0.018654+0.000529 test-mlogloss:1.077637+0.050563
## [413] train-mlogloss:0.018580+0.000535 test-mlogloss:1.077807+0.051530
## [414] train-mlogloss:0.018508+0.000554 test-mlogloss:1.078600+0.051331
## [415] train-mlogloss:0.018427+0.000546 test-mlogloss:1.079070+0.051025
## [416] train-mlogloss:0.018339+0.000550 test-mlogloss:1.080486+0.050126
## [417] train-mlogloss:0.018286+0.000564 test-mlogloss:1.081110+0.049826
## [418] train-mlogloss:0.018227+0.000571 test-mlogloss:1.081363+0.050530
## [419] train-mlogloss:0.018165+0.000578 test-mlogloss:1.081640+0.050537
## [420] train-mlogloss:0.018107+0.000571 test-mlogloss:1.082137+0.050778
## [421] train-mlogloss:0.018049+0.000569 test-mlogloss:1.082850+0.050173
## [422] train-mlogloss:0.017970+0.000578 test-mlogloss:1.084566+0.050432
## [423] train-mlogloss:0.017909+0.000579 test-mlogloss:1.084817+0.051297
## [424] train-mlogloss:0.017829+0.000551 test-mlogloss:1.084703+0.051721
## [425] train-mlogloss:0.017761+0.000561 test-mlogloss:1.085132+0.050651
## [426] train-mlogloss:0.017704+0.000564 test-mlogloss:1.085809+0.051013
## [427] train-mlogloss:0.017638+0.000566 test-mlogloss:1.086455+0.050856
## [428] train-mlogloss:0.017591+0.000558 test-mlogloss:1.086586+0.050319
## [429] train-mlogloss:0.017543+0.000562 test-mlogloss:1.087162+0.050296
## [430] train-mlogloss:0.017463+0.000536 test-mlogloss:1.087934+0.049904
## [431] train-mlogloss:0.017401+0.000549 test-mlogloss:1.088135+0.050145
## [432] train-mlogloss:0.017333+0.000569 test-mlogloss:1.088720+0.050659
## [433] train-mlogloss:0.017270+0.000574 test-mlogloss:1.089163+0.050081
## [434] train-mlogloss:0.017184+0.000575 test-mlogloss:1.090519+0.050147
## [435] train-mlogloss:0.017123+0.000556 test-mlogloss:1.091813+0.050635
## [436] train-mlogloss:0.017055+0.000582 test-mlogloss:1.092886+0.051210
## [437] train-mlogloss:0.016978+0.000592 test-mlogloss:1.093565+0.051227
## [438] train-mlogloss:0.016912+0.000601 test-mlogloss:1.094164+0.050403
## [439] train-mlogloss:0.016866+0.000599 test-mlogloss:1.095059+0.050632
## [440] train-mlogloss:0.016807+0.000588 test-mlogloss:1.095884+0.050852
## [441] train-mlogloss:0.016747+0.000590 test-mlogloss:1.096850+0.051119
## [442] train-mlogloss:0.016689+0.000588 test-mlogloss:1.097414+0.050889
## [443] train-mlogloss:0.016635+0.000586 test-mlogloss:1.097685+0.051092
## [444] train-mlogloss:0.016566+0.000593 test-mlogloss:1.097569+0.050833
## [445] train-mlogloss:0.016511+0.000587 test-mlogloss:1.098059+0.051456
## [446] train-mlogloss:0.016440+0.000580 test-mlogloss:1.098378+0.051434
## [447] train-mlogloss:0.016382+0.000588 test-mlogloss:1.099454+0.051387
## [448] train-mlogloss:0.016340+0.000592 test-mlogloss:1.099619+0.051074
## [449] train-mlogloss:0.016279+0.000581 test-mlogloss:1.100066+0.051089
## [450] train-mlogloss:0.016222+0.000585 test-mlogloss:1.101106+0.050934
## [451] train-mlogloss:0.016173+0.000594 test-mlogloss:1.101374+0.051133
## [452] train-mlogloss:0.016116+0.000599 test-mlogloss:1.101075+0.050854
## [453] train-mlogloss:0.016071+0.000599 test-mlogloss:1.101748+0.051125
## [454] train-mlogloss:0.015996+0.000607 test-mlogloss:1.102315+0.050863
## [455] train-mlogloss:0.015950+0.000594 test-mlogloss:1.102490+0.050164
## [456] train-mlogloss:0.015912+0.000596 test-mlogloss:1.102810+0.050593
## [457] train-mlogloss:0.015863+0.000609 test-mlogloss:1.103181+0.050569
## [458] train-mlogloss:0.015812+0.000613 test-mlogloss:1.103431+0.050627
## [459] train-mlogloss:0.015761+0.000602 test-mlogloss:1.104345+0.050967
## [460] train-mlogloss:0.015695+0.000622 test-mlogloss:1.105357+0.050511
## [461] train-mlogloss:0.015638+0.000631 test-mlogloss:1.105851+0.051063
## [462] train-mlogloss:0.015592+0.000646 test-mlogloss:1.106545+0.051185
## [463] train-mlogloss:0.015542+0.000642 test-mlogloss:1.107006+0.051243
## [464] train-mlogloss:0.015481+0.000636 test-mlogloss:1.107673+0.051495
## [465] train-mlogloss:0.015421+0.000639 test-mlogloss:1.107757+0.051785
## [466] train-mlogloss:0.015391+0.000655 test-mlogloss:1.108154+0.051486
## [467] train-mlogloss:0.015355+0.000655 test-mlogloss:1.108889+0.051393
## [468] train-mlogloss:0.015311+0.000654 test-mlogloss:1.109685+0.051266
## [469] train-mlogloss:0.015278+0.000648 test-mlogloss:1.109718+0.051319
## [470] train-mlogloss:0.015231+0.000640 test-mlogloss:1.111250+0.051461
## [471] train-mlogloss:0.015185+0.000640 test-mlogloss:1.111887+0.051551
## [472] train-mlogloss:0.015145+0.000633 test-mlogloss:1.112635+0.051551
## [473] train-mlogloss:0.015076+0.000646 test-mlogloss:1.113547+0.051890
## [474] train-mlogloss:0.015026+0.000656 test-mlogloss:1.114012+0.052258
## [475] train-mlogloss:0.014969+0.000650 test-mlogloss:1.114382+0.052150
## [476] train-mlogloss:0.014908+0.000630 test-mlogloss:1.115284+0.052246
## [477] train-mlogloss:0.014858+0.000613 test-mlogloss:1.115696+0.051344
## [478] train-mlogloss:0.014795+0.000604 test-mlogloss:1.116315+0.051169
## [479] train-mlogloss:0.014752+0.000602 test-mlogloss:1.117204+0.051536
## [480] train-mlogloss:0.014693+0.000594 test-mlogloss:1.117696+0.050940
## [481] train-mlogloss:0.014655+0.000589 test-mlogloss:1.117925+0.050629
## [482] train-mlogloss:0.014593+0.000591 test-mlogloss:1.118435+0.050430
## [483] train-mlogloss:0.014558+0.000581 test-mlogloss:1.119174+0.050956
## [484] train-mlogloss:0.014500+0.000592 test-mlogloss:1.119210+0.052439
## [485] train-mlogloss:0.014463+0.000606 test-mlogloss:1.119629+0.052062
## [486] train-mlogloss:0.014418+0.000600 test-mlogloss:1.119964+0.052452
## [487] train-mlogloss:0.014375+0.000593 test-mlogloss:1.119569+0.052584
## [488] train-mlogloss:0.014320+0.000565 test-mlogloss:1.120937+0.052383
## [489] train-mlogloss:0.014268+0.000561 test-mlogloss:1.121613+0.052710
## [490] train-mlogloss:0.014229+0.000565 test-mlogloss:1.122329+0.052860
## [491] train-mlogloss:0.014183+0.000564 test-mlogloss:1.123567+0.052519
## [492] train-mlogloss:0.014143+0.000569 test-mlogloss:1.123880+0.052600
## [493] train-mlogloss:0.014087+0.000574 test-mlogloss:1.124832+0.052271
## [494] train-mlogloss:0.014057+0.000574 test-mlogloss:1.125025+0.052171
## [495] train-mlogloss:0.014004+0.000558 test-mlogloss:1.125832+0.052216
## [496] train-mlogloss:0.013954+0.000547 test-mlogloss:1.126310+0.052580
## [497] train-mlogloss:0.013915+0.000549 test-mlogloss:1.126303+0.052883
## [498] train-mlogloss:0.013882+0.000544 test-mlogloss:1.126785+0.052745
## [499] train-mlogloss:0.013846+0.000536 test-mlogloss:1.126966+0.052748
## [500] train-mlogloss:0.013817+0.000533 test-mlogloss:1.127502+0.051969
## [1] train-mlogloss:0.443783+0.001197 test-mlogloss:0.606630+0.009670
## [2] train-mlogloss:0.342044+0.002188 test-mlogloss:0.627775+0.005932
## [3] train-mlogloss:0.278262+0.001848 test-mlogloss:0.655712+0.008263
## [4] train-mlogloss:0.231886+0.003959 test-mlogloss:0.680000+0.009986
## [5] train-mlogloss:0.196527+0.002384 test-mlogloss:0.704898+0.009979
## [6] train-mlogloss:0.170160+0.002989 test-mlogloss:0.719771+0.008398
## [7] train-mlogloss:0.150664+0.003403 test-mlogloss:0.733846+0.009869
## [8] train-mlogloss:0.133844+0.002228 test-mlogloss:0.749011+0.008224
## [9] train-mlogloss:0.120873+0.002249 test-mlogloss:0.761680+0.008372
## [10] train-mlogloss:0.109838+0.003438 test-mlogloss:0.770834+0.008859
## [11] train-mlogloss:0.100065+0.004617 test-mlogloss:0.783002+0.011356
## [12] train-mlogloss:0.092064+0.003815 test-mlogloss:0.794508+0.012602
## [13] train-mlogloss:0.084639+0.003063 test-mlogloss:0.801113+0.015608
## [14] train-mlogloss:0.079269+0.003094 test-mlogloss:0.808825+0.020496
## [15] train-mlogloss:0.074675+0.002605 test-mlogloss:0.817828+0.021772
## [16] train-mlogloss:0.070096+0.002572 test-mlogloss:0.822849+0.024014
## [17] train-mlogloss:0.065791+0.002005 test-mlogloss:0.827092+0.024016
## [18] train-mlogloss:0.062097+0.002121 test-mlogloss:0.832389+0.022115
## [19] train-mlogloss:0.059089+0.001407 test-mlogloss:0.839384+0.019625
## [20] train-mlogloss:0.055823+0.001303 test-mlogloss:0.845078+0.020061
## [21] train-mlogloss:0.052864+0.001284 test-mlogloss:0.850941+0.021763
## [22] train-mlogloss:0.050383+0.001065 test-mlogloss:0.857427+0.021211
## [23] train-mlogloss:0.047981+0.000928 test-mlogloss:0.862550+0.018853
## [24] train-mlogloss:0.045874+0.001028 test-mlogloss:0.869531+0.018903
## [25] train-mlogloss:0.043931+0.000919 test-mlogloss:0.876328+0.020253
## [26] train-mlogloss:0.042213+0.000766 test-mlogloss:0.881094+0.020147
## [27] train-mlogloss:0.040670+0.000659 test-mlogloss:0.886507+0.018884
## [28] train-mlogloss:0.039131+0.000583 test-mlogloss:0.892632+0.018237
## [29] train-mlogloss:0.037821+0.000520 test-mlogloss:0.897044+0.019116
## [30] train-mlogloss:0.036655+0.000484 test-mlogloss:0.901865+0.019351
## [31] train-mlogloss:0.035474+0.000497 test-mlogloss:0.905507+0.019179
## [32] train-mlogloss:0.034346+0.000440 test-mlogloss:0.910134+0.019573
## [33] train-mlogloss:0.033288+0.000368 test-mlogloss:0.914757+0.019855
## [34] train-mlogloss:0.032320+0.000336 test-mlogloss:0.917928+0.018144
## [35] train-mlogloss:0.031442+0.000284 test-mlogloss:0.921317+0.019449
## [36] train-mlogloss:0.030622+0.000236 test-mlogloss:0.925381+0.019640
## [37] train-mlogloss:0.029809+0.000213 test-mlogloss:0.929044+0.018602
## [38] train-mlogloss:0.029059+0.000238 test-mlogloss:0.931522+0.018963
## [39] train-mlogloss:0.028358+0.000210 test-mlogloss:0.934575+0.020318
## [40] train-mlogloss:0.027705+0.000207 test-mlogloss:0.935892+0.018835
## [41] train-mlogloss:0.027068+0.000170 test-mlogloss:0.938700+0.019488
## [42] train-mlogloss:0.026457+0.000142 test-mlogloss:0.942280+0.019161
## [43] train-mlogloss:0.025882+0.000155 test-mlogloss:0.944898+0.019032
## [44] train-mlogloss:0.025317+0.000146 test-mlogloss:0.947979+0.019382
## [45] train-mlogloss:0.024781+0.000134 test-mlogloss:0.951107+0.020170
## [46] train-mlogloss:0.024272+0.000157 test-mlogloss:0.953371+0.019333
## [47] train-mlogloss:0.023818+0.000163 test-mlogloss:0.956600+0.019373
## [48] train-mlogloss:0.023403+0.000157 test-mlogloss:0.958777+0.018721
## [49] train-mlogloss:0.022983+0.000166 test-mlogloss:0.960179+0.020075
## [50] train-mlogloss:0.022569+0.000162 test-mlogloss:0.962221+0.020303
## [51] train-mlogloss:0.022173+0.000152 test-mlogloss:0.964389+0.019749
## [52] train-mlogloss:0.021804+0.000177 test-mlogloss:0.966300+0.020563
## [53] train-mlogloss:0.021445+0.000172 test-mlogloss:0.966996+0.021304
## [54] train-mlogloss:0.021108+0.000176 test-mlogloss:0.968736+0.023051
## [55] train-mlogloss:0.020759+0.000175 test-mlogloss:0.971689+0.022873
## [56] train-mlogloss:0.020448+0.000182 test-mlogloss:0.972508+0.021430
## [57] train-mlogloss:0.020133+0.000191 test-mlogloss:0.975602+0.021124
## [58] train-mlogloss:0.019840+0.000189 test-mlogloss:0.977203+0.021117
## [59] train-mlogloss:0.019584+0.000184 test-mlogloss:0.979041+0.022312
## [60] train-mlogloss:0.019314+0.000163 test-mlogloss:0.981245+0.022348
## [61] train-mlogloss:0.019035+0.000135 test-mlogloss:0.983266+0.022338
## [62] train-mlogloss:0.018778+0.000159 test-mlogloss:0.985262+0.022504
## [63] train-mlogloss:0.018537+0.000134 test-mlogloss:0.987336+0.023046
## [64] train-mlogloss:0.018289+0.000137 test-mlogloss:0.989838+0.023058
## [65] train-mlogloss:0.018036+0.000129 test-mlogloss:0.991848+0.022671
## [66] train-mlogloss:0.017797+0.000129 test-mlogloss:0.993891+0.022522
## [67] train-mlogloss:0.017590+0.000126 test-mlogloss:0.995404+0.022649
## [68] train-mlogloss:0.017385+0.000123 test-mlogloss:0.997611+0.023123
## [69] train-mlogloss:0.017176+0.000102 test-mlogloss:0.997838+0.022704
## [70] train-mlogloss:0.016961+0.000101 test-mlogloss:0.999050+0.022197
## [71] train-mlogloss:0.016771+0.000087 test-mlogloss:1.001548+0.022554
## [72] train-mlogloss:0.016598+0.000087 test-mlogloss:1.003560+0.023843
## [73] train-mlogloss:0.016419+0.000081 test-mlogloss:1.004986+0.022757
## [74] train-mlogloss:0.016243+0.000080 test-mlogloss:1.006326+0.021774
## [75] train-mlogloss:0.016069+0.000076 test-mlogloss:1.007118+0.022689
## [76] train-mlogloss:0.015904+0.000074 test-mlogloss:1.008009+0.023558
## [77] train-mlogloss:0.015737+0.000085 test-mlogloss:1.009290+0.022868
## [78] train-mlogloss:0.015572+0.000072 test-mlogloss:1.011278+0.022527
## [79] train-mlogloss:0.015407+0.000069 test-mlogloss:1.013647+0.022899
## [80] train-mlogloss:0.015250+0.000086 test-mlogloss:1.014644+0.022730
## [81] train-mlogloss:0.015102+0.000088 test-mlogloss:1.016641+0.022512
## [82] train-mlogloss:0.014959+0.000082 test-mlogloss:1.017558+0.023468
## [83] train-mlogloss:0.014824+0.000085 test-mlogloss:1.019186+0.022482
## [84] train-mlogloss:0.014686+0.000079 test-mlogloss:1.020485+0.022315
## [85] train-mlogloss:0.014556+0.000073 test-mlogloss:1.022049+0.021545
## [86] train-mlogloss:0.014436+0.000078 test-mlogloss:1.022510+0.021939
## [87] train-mlogloss:0.014312+0.000075 test-mlogloss:1.023892+0.022480
## [88] train-mlogloss:0.014180+0.000083 test-mlogloss:1.024123+0.022947
## [89] train-mlogloss:0.014053+0.000082 test-mlogloss:1.024476+0.023002
## [90] train-mlogloss:0.013931+0.000074 test-mlogloss:1.025887+0.023095
## [91] train-mlogloss:0.013809+0.000066 test-mlogloss:1.026782+0.022259
## [92] train-mlogloss:0.013697+0.000065 test-mlogloss:1.028038+0.022725
## [93] train-mlogloss:0.013583+0.000061 test-mlogloss:1.029286+0.022570
## [94] train-mlogloss:0.013475+0.000058 test-mlogloss:1.030591+0.022955
## [95] train-mlogloss:0.013368+0.000064 test-mlogloss:1.032045+0.023549
## [96] train-mlogloss:0.013251+0.000078 test-mlogloss:1.033621+0.023337
## [97] train-mlogloss:0.013150+0.000078 test-mlogloss:1.034514+0.022178
## [98] train-mlogloss:0.013058+0.000078 test-mlogloss:1.035711+0.022525
## [99] train-mlogloss:0.012964+0.000080 test-mlogloss:1.036372+0.022428
## [100] train-mlogloss:0.012867+0.000081 test-mlogloss:1.037145+0.022995
## [101] train-mlogloss:0.012773+0.000076 test-mlogloss:1.038126+0.024216
## [102] train-mlogloss:0.012680+0.000086 test-mlogloss:1.039333+0.023783
## [103] train-mlogloss:0.012602+0.000085 test-mlogloss:1.040059+0.023646
## [104] train-mlogloss:0.012517+0.000087 test-mlogloss:1.041442+0.023380
## [105] train-mlogloss:0.012437+0.000094 test-mlogloss:1.042999+0.023862
## [106] train-mlogloss:0.012348+0.000094 test-mlogloss:1.044726+0.024535
## [107] train-mlogloss:0.012262+0.000090 test-mlogloss:1.045705+0.023700
## [108] train-mlogloss:0.012176+0.000089 test-mlogloss:1.045642+0.023595
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## [110] train-mlogloss:0.012003+0.000078 test-mlogloss:1.047727+0.023714
## [111] train-mlogloss:0.011925+0.000080 test-mlogloss:1.048960+0.023468
## [112] train-mlogloss:0.011856+0.000071 test-mlogloss:1.048958+0.022233
## [113] train-mlogloss:0.011783+0.000071 test-mlogloss:1.050344+0.021304
## [114] train-mlogloss:0.011712+0.000073 test-mlogloss:1.051007+0.021480
## [115] train-mlogloss:0.011645+0.000072 test-mlogloss:1.052287+0.021341
## [116] train-mlogloss:0.011574+0.000072 test-mlogloss:1.053173+0.021784
## [117] train-mlogloss:0.011496+0.000074 test-mlogloss:1.054326+0.022805
## [118] train-mlogloss:0.011428+0.000071 test-mlogloss:1.054958+0.023064
## [119] train-mlogloss:0.011359+0.000071 test-mlogloss:1.055347+0.023232
## [120] train-mlogloss:0.011292+0.000070 test-mlogloss:1.056182+0.022851
## [121] train-mlogloss:0.011223+0.000071 test-mlogloss:1.056791+0.023339
## [122] train-mlogloss:0.011164+0.000072 test-mlogloss:1.057023+0.022951
## [123] train-mlogloss:0.011092+0.000071 test-mlogloss:1.057512+0.022802
## [124] train-mlogloss:0.011032+0.000070 test-mlogloss:1.058574+0.022245
## [125] train-mlogloss:0.010967+0.000074 test-mlogloss:1.060072+0.023227
## [126] train-mlogloss:0.010904+0.000078 test-mlogloss:1.061072+0.023274
## [127] train-mlogloss:0.010848+0.000081 test-mlogloss:1.061089+0.022921
## [128] train-mlogloss:0.010784+0.000084 test-mlogloss:1.061346+0.022949
## [129] train-mlogloss:0.010727+0.000088 test-mlogloss:1.061741+0.023020
## [130] train-mlogloss:0.010665+0.000082 test-mlogloss:1.063557+0.022469
## [131] train-mlogloss:0.010604+0.000083 test-mlogloss:1.063820+0.022191
## [132] train-mlogloss:0.010548+0.000083 test-mlogloss:1.064383+0.022692
## [133] train-mlogloss:0.010494+0.000085 test-mlogloss:1.065729+0.022946
## [134] train-mlogloss:0.010442+0.000083 test-mlogloss:1.066781+0.022995
## [135] train-mlogloss:0.010392+0.000081 test-mlogloss:1.067375+0.023293
## [136] train-mlogloss:0.010339+0.000083 test-mlogloss:1.067768+0.023719
## [137] train-mlogloss:0.010293+0.000085 test-mlogloss:1.068905+0.024709
## [138] train-mlogloss:0.010239+0.000089 test-mlogloss:1.069470+0.024589
## [139] train-mlogloss:0.010193+0.000090 test-mlogloss:1.070720+0.024519
## [140] train-mlogloss:0.010145+0.000090 test-mlogloss:1.071943+0.024994
## [141] train-mlogloss:0.010096+0.000087 test-mlogloss:1.072003+0.024840
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## [143] train-mlogloss:0.009995+0.000085 test-mlogloss:1.072020+0.024498
## [144] train-mlogloss:0.009949+0.000082 test-mlogloss:1.073080+0.025205
## [145] train-mlogloss:0.009905+0.000084 test-mlogloss:1.073390+0.025097
## [146] train-mlogloss:0.009862+0.000082 test-mlogloss:1.073775+0.024716
## [147] train-mlogloss:0.009820+0.000080 test-mlogloss:1.074494+0.025187
## [148] train-mlogloss:0.009775+0.000080 test-mlogloss:1.075067+0.025139
## [149] train-mlogloss:0.009732+0.000079 test-mlogloss:1.076093+0.024963
## [150] train-mlogloss:0.009687+0.000083 test-mlogloss:1.076498+0.024637
## [151] train-mlogloss:0.009645+0.000081 test-mlogloss:1.077419+0.024776
## [152] train-mlogloss:0.009604+0.000078 test-mlogloss:1.077689+0.025334
## [153] train-mlogloss:0.009560+0.000080 test-mlogloss:1.078548+0.026023
## [154] train-mlogloss:0.009519+0.000080 test-mlogloss:1.080472+0.026461
## [155] train-mlogloss:0.009479+0.000080 test-mlogloss:1.080217+0.026075
## [156] train-mlogloss:0.009440+0.000079 test-mlogloss:1.079743+0.026497
## [157] train-mlogloss:0.009400+0.000075 test-mlogloss:1.080400+0.026875
## [158] train-mlogloss:0.009363+0.000076 test-mlogloss:1.080895+0.027275
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## [160] train-mlogloss:0.009287+0.000075 test-mlogloss:1.082341+0.027498
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## [166] train-mlogloss:0.009060+0.000070 test-mlogloss:1.087187+0.026805
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## [170] train-mlogloss:0.008919+0.000070 test-mlogloss:1.090267+0.028357
## [171] train-mlogloss:0.008886+0.000073 test-mlogloss:1.090378+0.027778
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## [174] train-mlogloss:0.008783+0.000073 test-mlogloss:1.091490+0.027694
## [175] train-mlogloss:0.008754+0.000071 test-mlogloss:1.091284+0.027862
## [176] train-mlogloss:0.008721+0.000069 test-mlogloss:1.092011+0.027586
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## [198] train-mlogloss:0.008071+0.000069 test-mlogloss:1.104163+0.026240
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## [201] train-mlogloss:0.007998+0.000067 test-mlogloss:1.105218+0.026068
## [202] train-mlogloss:0.007972+0.000067 test-mlogloss:1.105425+0.025629
## [203] train-mlogloss:0.007949+0.000065 test-mlogloss:1.105981+0.025677
## [204] train-mlogloss:0.007924+0.000065 test-mlogloss:1.106201+0.025855
## [205] train-mlogloss:0.007901+0.000065 test-mlogloss:1.106500+0.025867
## [206] train-mlogloss:0.007876+0.000063 test-mlogloss:1.106815+0.026045
## [207] train-mlogloss:0.007851+0.000062 test-mlogloss:1.107476+0.026694
## [208] train-mlogloss:0.007827+0.000061 test-mlogloss:1.107728+0.026448
## [209] train-mlogloss:0.007804+0.000059 test-mlogloss:1.108194+0.026117
## [210] train-mlogloss:0.007783+0.000059 test-mlogloss:1.108451+0.025896
## [211] train-mlogloss:0.007762+0.000059 test-mlogloss:1.108873+0.025884
## [212] train-mlogloss:0.007738+0.000058 test-mlogloss:1.110056+0.025603
## [213] train-mlogloss:0.007717+0.000058 test-mlogloss:1.110277+0.025393
## [214] train-mlogloss:0.007695+0.000059 test-mlogloss:1.110327+0.024908
## [215] train-mlogloss:0.007672+0.000058 test-mlogloss:1.110673+0.025015
## [216] train-mlogloss:0.007649+0.000058 test-mlogloss:1.110274+0.024843
## [217] train-mlogloss:0.007627+0.000059 test-mlogloss:1.110819+0.025113
## [218] train-mlogloss:0.007606+0.000060 test-mlogloss:1.111155+0.024892
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## [223] train-mlogloss:0.007500+0.000060 test-mlogloss:1.112713+0.024546
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## [226] train-mlogloss:0.007433+0.000062 test-mlogloss:1.114441+0.024924
## [227] train-mlogloss:0.007412+0.000062 test-mlogloss:1.113940+0.024561
## [228] train-mlogloss:0.007390+0.000060 test-mlogloss:1.114606+0.024056
## [229] train-mlogloss:0.007371+0.000059 test-mlogloss:1.114640+0.024155
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## [232] train-mlogloss:0.007314+0.000058 test-mlogloss:1.116549+0.024262
## [233] train-mlogloss:0.007296+0.000056 test-mlogloss:1.117039+0.024744
## [234] train-mlogloss:0.007274+0.000055 test-mlogloss:1.118255+0.024896
## [235] train-mlogloss:0.007257+0.000051 test-mlogloss:1.118698+0.024211
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## [238] train-mlogloss:0.007201+0.000055 test-mlogloss:1.119540+0.024377
## [239] train-mlogloss:0.007183+0.000054 test-mlogloss:1.120179+0.024690
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## [241] train-mlogloss:0.007146+0.000053 test-mlogloss:1.121110+0.024750
## [242] train-mlogloss:0.007126+0.000052 test-mlogloss:1.121475+0.025116
## [243] train-mlogloss:0.007110+0.000049 test-mlogloss:1.122046+0.024386
## [244] train-mlogloss:0.007091+0.000048 test-mlogloss:1.122339+0.024434
## [245] train-mlogloss:0.007075+0.000047 test-mlogloss:1.122272+0.023941
## [246] train-mlogloss:0.007059+0.000048 test-mlogloss:1.123198+0.024565
## [247] train-mlogloss:0.007040+0.000049 test-mlogloss:1.123594+0.024891
## [248] train-mlogloss:0.007022+0.000049 test-mlogloss:1.123802+0.024959
## [249] train-mlogloss:0.007002+0.000049 test-mlogloss:1.124611+0.025317
## [250] train-mlogloss:0.006985+0.000049 test-mlogloss:1.123950+0.024915
## [251] train-mlogloss:0.006967+0.000049 test-mlogloss:1.124343+0.025025
## [252] train-mlogloss:0.006948+0.000048 test-mlogloss:1.124967+0.024977
## [253] train-mlogloss:0.006930+0.000047 test-mlogloss:1.125165+0.025248
## [254] train-mlogloss:0.006913+0.000047 test-mlogloss:1.125876+0.025406
## [255] train-mlogloss:0.006895+0.000048 test-mlogloss:1.126370+0.025306
## [256] train-mlogloss:0.006879+0.000046 test-mlogloss:1.126644+0.025232
## [257] train-mlogloss:0.006862+0.000044 test-mlogloss:1.126919+0.025024
## [258] train-mlogloss:0.006846+0.000042 test-mlogloss:1.127340+0.024489
## [259] train-mlogloss:0.006832+0.000042 test-mlogloss:1.127501+0.024700
## [260] train-mlogloss:0.006818+0.000043 test-mlogloss:1.127760+0.024819
## [261] train-mlogloss:0.006803+0.000042 test-mlogloss:1.127754+0.024499
## [262] train-mlogloss:0.006789+0.000042 test-mlogloss:1.127580+0.023848
## [263] train-mlogloss:0.006775+0.000042 test-mlogloss:1.128325+0.024484
## [264] train-mlogloss:0.006762+0.000041 test-mlogloss:1.128921+0.023875
## [265] train-mlogloss:0.006745+0.000040 test-mlogloss:1.129327+0.024139
## [266] train-mlogloss:0.006729+0.000042 test-mlogloss:1.129013+0.024127
## [267] train-mlogloss:0.006714+0.000039 test-mlogloss:1.129412+0.023978
## [268] train-mlogloss:0.006699+0.000036 test-mlogloss:1.129484+0.023861
## [269] train-mlogloss:0.006685+0.000035 test-mlogloss:1.130299+0.024387
## [270] train-mlogloss:0.006671+0.000034 test-mlogloss:1.130475+0.024529
## [271] train-mlogloss:0.006657+0.000033 test-mlogloss:1.130270+0.024671
## [272] train-mlogloss:0.006643+0.000034 test-mlogloss:1.131060+0.024569
## [273] train-mlogloss:0.006630+0.000035 test-mlogloss:1.131834+0.024885
## [274] train-mlogloss:0.006616+0.000036 test-mlogloss:1.132436+0.024532
## [275] train-mlogloss:0.006600+0.000035 test-mlogloss:1.133120+0.024180
## [276] train-mlogloss:0.006585+0.000035 test-mlogloss:1.133422+0.024619
## [277] train-mlogloss:0.006572+0.000035 test-mlogloss:1.133689+0.024915
## [278] train-mlogloss:0.006557+0.000038 test-mlogloss:1.133691+0.024973
## [279] train-mlogloss:0.006543+0.000037 test-mlogloss:1.134428+0.025303
## [280] train-mlogloss:0.006532+0.000036 test-mlogloss:1.134917+0.025551
## [281] train-mlogloss:0.006518+0.000035 test-mlogloss:1.134724+0.025091
## [282] train-mlogloss:0.006505+0.000034 test-mlogloss:1.134968+0.024994
## [283] train-mlogloss:0.006492+0.000035 test-mlogloss:1.135403+0.024788
## [284] train-mlogloss:0.006478+0.000035 test-mlogloss:1.136173+0.024879
## [285] train-mlogloss:0.006464+0.000032 test-mlogloss:1.137142+0.024920
## [286] train-mlogloss:0.006452+0.000032 test-mlogloss:1.137820+0.025366
## [287] train-mlogloss:0.006438+0.000033 test-mlogloss:1.138096+0.025477
## [288] train-mlogloss:0.006427+0.000035 test-mlogloss:1.138358+0.025407
## [289] train-mlogloss:0.006416+0.000036 test-mlogloss:1.138607+0.025178
## [290] train-mlogloss:0.006402+0.000035 test-mlogloss:1.138595+0.025277
## [291] train-mlogloss:0.006389+0.000035 test-mlogloss:1.138908+0.025276
## [292] train-mlogloss:0.006377+0.000035 test-mlogloss:1.139074+0.025699
## [293] train-mlogloss:0.006364+0.000035 test-mlogloss:1.139260+0.025966
## [294] train-mlogloss:0.006353+0.000034 test-mlogloss:1.139909+0.026427
## [295] train-mlogloss:0.006342+0.000035 test-mlogloss:1.140303+0.025896
## [296] train-mlogloss:0.006328+0.000034 test-mlogloss:1.140956+0.025368
## [297] train-mlogloss:0.006316+0.000036 test-mlogloss:1.141110+0.025183
## [298] train-mlogloss:0.006303+0.000038 test-mlogloss:1.141409+0.025011
## [299] train-mlogloss:0.006291+0.000039 test-mlogloss:1.141764+0.024947
## [300] train-mlogloss:0.006278+0.000039 test-mlogloss:1.142106+0.025275
## [301] train-mlogloss:0.006266+0.000039 test-mlogloss:1.141832+0.024707
## [302] train-mlogloss:0.006254+0.000039 test-mlogloss:1.141865+0.024756
## [303] train-mlogloss:0.006242+0.000038 test-mlogloss:1.142435+0.025049
## [304] train-mlogloss:0.006230+0.000039 test-mlogloss:1.143288+0.024623
## [305] train-mlogloss:0.006215+0.000039 test-mlogloss:1.143018+0.025009
## [306] train-mlogloss:0.006204+0.000039 test-mlogloss:1.143365+0.025263
## [307] train-mlogloss:0.006193+0.000040 test-mlogloss:1.143839+0.025468
## [308] train-mlogloss:0.006182+0.000040 test-mlogloss:1.144024+0.025116
## [309] train-mlogloss:0.006170+0.000039 test-mlogloss:1.144105+0.024723
## [310] train-mlogloss:0.006159+0.000039 test-mlogloss:1.144391+0.024984
## [311] train-mlogloss:0.006148+0.000038 test-mlogloss:1.145043+0.025054
## [312] train-mlogloss:0.006136+0.000039 test-mlogloss:1.144790+0.024815
## [313] train-mlogloss:0.006124+0.000037 test-mlogloss:1.145490+0.024951
## [314] train-mlogloss:0.006114+0.000037 test-mlogloss:1.145825+0.024986
## [315] train-mlogloss:0.006102+0.000036 test-mlogloss:1.146043+0.025005
## [316] train-mlogloss:0.006088+0.000038 test-mlogloss:1.145840+0.024308
## [317] train-mlogloss:0.006077+0.000038 test-mlogloss:1.146308+0.024752
## [318] train-mlogloss:0.006067+0.000038 test-mlogloss:1.146713+0.024392
## [319] train-mlogloss:0.006055+0.000039 test-mlogloss:1.147581+0.024502
## [320] train-mlogloss:0.006045+0.000038 test-mlogloss:1.148048+0.024769
## [321] train-mlogloss:0.006034+0.000038 test-mlogloss:1.148446+0.025064
## [322] train-mlogloss:0.006024+0.000039 test-mlogloss:1.148500+0.025736
## [323] train-mlogloss:0.006013+0.000038 test-mlogloss:1.148876+0.025298
## [324] train-mlogloss:0.006002+0.000040 test-mlogloss:1.148828+0.025423
## [325] train-mlogloss:0.005992+0.000039 test-mlogloss:1.148886+0.025873
## [326] train-mlogloss:0.005980+0.000039 test-mlogloss:1.148757+0.025823
## [327] train-mlogloss:0.005971+0.000039 test-mlogloss:1.148841+0.025350
## [328] train-mlogloss:0.005960+0.000039 test-mlogloss:1.149378+0.025949
## [329] train-mlogloss:0.005949+0.000040 test-mlogloss:1.149862+0.025796
## [330] train-mlogloss:0.005939+0.000041 test-mlogloss:1.150045+0.026001
## [331] train-mlogloss:0.005927+0.000041 test-mlogloss:1.150325+0.026354
## [332] train-mlogloss:0.005916+0.000041 test-mlogloss:1.150414+0.026033
## [333] train-mlogloss:0.005906+0.000042 test-mlogloss:1.150569+0.025713
## [334] train-mlogloss:0.005896+0.000041 test-mlogloss:1.150902+0.025990
## [335] train-mlogloss:0.005887+0.000040 test-mlogloss:1.151171+0.025630
## [336] train-mlogloss:0.005876+0.000040 test-mlogloss:1.151823+0.026539
## [337] train-mlogloss:0.005867+0.000040 test-mlogloss:1.152452+0.026284
## [338] train-mlogloss:0.005858+0.000040 test-mlogloss:1.152670+0.026557
## [339] train-mlogloss:0.005848+0.000039 test-mlogloss:1.152742+0.027092
## [340] train-mlogloss:0.005839+0.000039 test-mlogloss:1.152928+0.026926
## [341] train-mlogloss:0.005830+0.000040 test-mlogloss:1.153438+0.026704
## [342] train-mlogloss:0.005821+0.000039 test-mlogloss:1.153799+0.026410
## [343] train-mlogloss:0.005812+0.000039 test-mlogloss:1.153985+0.026105
## [344] train-mlogloss:0.005802+0.000038 test-mlogloss:1.154164+0.026619
## [345] train-mlogloss:0.005794+0.000038 test-mlogloss:1.154497+0.026938
## [346] train-mlogloss:0.005784+0.000038 test-mlogloss:1.154926+0.027002
## [347] train-mlogloss:0.005775+0.000037 test-mlogloss:1.155282+0.027023
## [348] train-mlogloss:0.005765+0.000038 test-mlogloss:1.155303+0.026592
## [349] train-mlogloss:0.005756+0.000039 test-mlogloss:1.155797+0.026984
## [350] train-mlogloss:0.005747+0.000038 test-mlogloss:1.156332+0.026761
## [351] train-mlogloss:0.005737+0.000038 test-mlogloss:1.156703+0.026982
## [352] train-mlogloss:0.005728+0.000039 test-mlogloss:1.157086+0.027063
## [353] train-mlogloss:0.005718+0.000038 test-mlogloss:1.157384+0.026864
## [354] train-mlogloss:0.005710+0.000038 test-mlogloss:1.157504+0.026849
## [355] train-mlogloss:0.005701+0.000038 test-mlogloss:1.157442+0.026788
## [356] train-mlogloss:0.005692+0.000038 test-mlogloss:1.157500+0.026819
## [357] train-mlogloss:0.005682+0.000038 test-mlogloss:1.157579+0.027020
## [358] train-mlogloss:0.005673+0.000038 test-mlogloss:1.157747+0.026786
## [359] train-mlogloss:0.005664+0.000040 test-mlogloss:1.157451+0.026787
## [360] train-mlogloss:0.005655+0.000041 test-mlogloss:1.158026+0.027100
## [361] train-mlogloss:0.005647+0.000042 test-mlogloss:1.158698+0.027542
## [362] train-mlogloss:0.005638+0.000041 test-mlogloss:1.158790+0.027428
## [363] train-mlogloss:0.005630+0.000041 test-mlogloss:1.159269+0.027146
## [364] train-mlogloss:0.005620+0.000040 test-mlogloss:1.159911+0.026865
## [365] train-mlogloss:0.005612+0.000039 test-mlogloss:1.160256+0.027044
## [366] train-mlogloss:0.005602+0.000038 test-mlogloss:1.160755+0.027391
## [367] train-mlogloss:0.005593+0.000038 test-mlogloss:1.161073+0.027346
## [368] train-mlogloss:0.005584+0.000036 test-mlogloss:1.161691+0.027352
## [369] train-mlogloss:0.005575+0.000034 test-mlogloss:1.161880+0.027484
## [370] train-mlogloss:0.005568+0.000034 test-mlogloss:1.162158+0.027452
## [371] train-mlogloss:0.005559+0.000034 test-mlogloss:1.162528+0.027444
## [372] train-mlogloss:0.005552+0.000034 test-mlogloss:1.162398+0.026859
## [373] train-mlogloss:0.005544+0.000034 test-mlogloss:1.162607+0.026539
## [374] train-mlogloss:0.005536+0.000033 test-mlogloss:1.162908+0.026731
## [375] train-mlogloss:0.005529+0.000033 test-mlogloss:1.163012+0.026892
## [376] train-mlogloss:0.005522+0.000031 test-mlogloss:1.163489+0.026779
## [377] train-mlogloss:0.005514+0.000031 test-mlogloss:1.163697+0.026874
## [378] train-mlogloss:0.005506+0.000031 test-mlogloss:1.163647+0.027073
## [379] train-mlogloss:0.005498+0.000032 test-mlogloss:1.163572+0.027195
## [380] train-mlogloss:0.005491+0.000030 test-mlogloss:1.164304+0.027353
## [381] train-mlogloss:0.005482+0.000030 test-mlogloss:1.164361+0.027072
## [382] train-mlogloss:0.005474+0.000029 test-mlogloss:1.164487+0.026699
## [383] train-mlogloss:0.005467+0.000031 test-mlogloss:1.164856+0.026923
## [384] train-mlogloss:0.005460+0.000030 test-mlogloss:1.165353+0.027071
## [385] train-mlogloss:0.005451+0.000031 test-mlogloss:1.165568+0.026923
## [386] train-mlogloss:0.005444+0.000031 test-mlogloss:1.165255+0.026560
## [387] train-mlogloss:0.005437+0.000030 test-mlogloss:1.165897+0.026713
## [388] train-mlogloss:0.005429+0.000029 test-mlogloss:1.165575+0.026976
## [389] train-mlogloss:0.005421+0.000029 test-mlogloss:1.165839+0.026297
## [390] train-mlogloss:0.005414+0.000029 test-mlogloss:1.166046+0.026237
## [391] train-mlogloss:0.005407+0.000028 test-mlogloss:1.166090+0.026341
## [392] train-mlogloss:0.005400+0.000028 test-mlogloss:1.166285+0.026486
## [393] train-mlogloss:0.005393+0.000027 test-mlogloss:1.166304+0.026126
## [394] train-mlogloss:0.005385+0.000026 test-mlogloss:1.166960+0.026254
## [395] train-mlogloss:0.005377+0.000026 test-mlogloss:1.167703+0.026006
## [396] train-mlogloss:0.005370+0.000025 test-mlogloss:1.167617+0.025856
## [397] train-mlogloss:0.005362+0.000024 test-mlogloss:1.167694+0.026057
## [398] train-mlogloss:0.005356+0.000024 test-mlogloss:1.168092+0.025907
## [399] train-mlogloss:0.005348+0.000024 test-mlogloss:1.167972+0.026151
## [400] train-mlogloss:0.005340+0.000024 test-mlogloss:1.167997+0.026298
## [401] train-mlogloss:0.005332+0.000025 test-mlogloss:1.168320+0.026457
## [402] train-mlogloss:0.005324+0.000025 test-mlogloss:1.168537+0.026077
## [403] train-mlogloss:0.005317+0.000025 test-mlogloss:1.169746+0.026402
## [404] train-mlogloss:0.005309+0.000026 test-mlogloss:1.169846+0.026742
## [405] train-mlogloss:0.005302+0.000026 test-mlogloss:1.170201+0.026405
## [406] train-mlogloss:0.005295+0.000027 test-mlogloss:1.170251+0.026771
## [407] train-mlogloss:0.005287+0.000028 test-mlogloss:1.170412+0.026329
## [408] train-mlogloss:0.005281+0.000028 test-mlogloss:1.170101+0.026310
## [409] train-mlogloss:0.005274+0.000029 test-mlogloss:1.170461+0.026299
## [410] train-mlogloss:0.005267+0.000028 test-mlogloss:1.170770+0.026358
## [411] train-mlogloss:0.005260+0.000029 test-mlogloss:1.171335+0.026306
## [412] train-mlogloss:0.005254+0.000029 test-mlogloss:1.171393+0.026605
## [413] train-mlogloss:0.005246+0.000028 test-mlogloss:1.171033+0.026851
## [414] train-mlogloss:0.005239+0.000027 test-mlogloss:1.171085+0.027044
## [415] train-mlogloss:0.005232+0.000028 test-mlogloss:1.171525+0.027480
## [416] train-mlogloss:0.005224+0.000027 test-mlogloss:1.171857+0.027043
## [417] train-mlogloss:0.005218+0.000028 test-mlogloss:1.172471+0.026986
## [418] train-mlogloss:0.005212+0.000028 test-mlogloss:1.172740+0.027096
## [419] train-mlogloss:0.005206+0.000028 test-mlogloss:1.173181+0.027129
## [420] train-mlogloss:0.005199+0.000028 test-mlogloss:1.173370+0.026693
## [421] train-mlogloss:0.005191+0.000028 test-mlogloss:1.173752+0.026933
## [422] train-mlogloss:0.005184+0.000028 test-mlogloss:1.174297+0.026921
## [423] train-mlogloss:0.005178+0.000027 test-mlogloss:1.174489+0.027251
## [424] train-mlogloss:0.005172+0.000027 test-mlogloss:1.175167+0.027398
## [425] train-mlogloss:0.005165+0.000027 test-mlogloss:1.175384+0.026755
## [426] train-mlogloss:0.005158+0.000026 test-mlogloss:1.175106+0.026518
## [427] train-mlogloss:0.005152+0.000026 test-mlogloss:1.175007+0.026562
## [428] train-mlogloss:0.005146+0.000026 test-mlogloss:1.175239+0.026819
## [429] train-mlogloss:0.005140+0.000026 test-mlogloss:1.175300+0.027210
## [430] train-mlogloss:0.005134+0.000026 test-mlogloss:1.175793+0.027038
## [431] train-mlogloss:0.005127+0.000026 test-mlogloss:1.176330+0.027307
## [432] train-mlogloss:0.005120+0.000026 test-mlogloss:1.176827+0.026699
## [433] train-mlogloss:0.005113+0.000025 test-mlogloss:1.176626+0.026810
## [434] train-mlogloss:0.005107+0.000025 test-mlogloss:1.177357+0.026697
## [435] train-mlogloss:0.005101+0.000025 test-mlogloss:1.177452+0.026699
## [436] train-mlogloss:0.005094+0.000026 test-mlogloss:1.177641+0.026975
## [437] train-mlogloss:0.005087+0.000026 test-mlogloss:1.177698+0.027074
## [438] train-mlogloss:0.005080+0.000026 test-mlogloss:1.178012+0.027040
## [439] train-mlogloss:0.005074+0.000025 test-mlogloss:1.177920+0.026920
## [440] train-mlogloss:0.005067+0.000026 test-mlogloss:1.178241+0.026794
## [441] train-mlogloss:0.005061+0.000025 test-mlogloss:1.178764+0.026387
## [442] train-mlogloss:0.005055+0.000024 test-mlogloss:1.179115+0.026544
## [443] train-mlogloss:0.005049+0.000024 test-mlogloss:1.179191+0.026397
## [444] train-mlogloss:0.005044+0.000025 test-mlogloss:1.179316+0.026441
## [445] train-mlogloss:0.005038+0.000025 test-mlogloss:1.179786+0.026604
## [446] train-mlogloss:0.005032+0.000025 test-mlogloss:1.180158+0.026893
## [447] train-mlogloss:0.005026+0.000025 test-mlogloss:1.180092+0.026586
## [448] train-mlogloss:0.005021+0.000024 test-mlogloss:1.180057+0.026899
## [449] train-mlogloss:0.005015+0.000025 test-mlogloss:1.180367+0.026720
## [450] train-mlogloss:0.005009+0.000025 test-mlogloss:1.180314+0.026654
## [451] train-mlogloss:0.005004+0.000025 test-mlogloss:1.180757+0.026660
## [452] train-mlogloss:0.004999+0.000025 test-mlogloss:1.180817+0.026236
## [453] train-mlogloss:0.004993+0.000024 test-mlogloss:1.180605+0.026265
## [454] train-mlogloss:0.004987+0.000023 test-mlogloss:1.180741+0.026651
## [455] train-mlogloss:0.004981+0.000023 test-mlogloss:1.180852+0.026543
## [456] train-mlogloss:0.004976+0.000022 test-mlogloss:1.181497+0.026536
## [457] train-mlogloss:0.004970+0.000022 test-mlogloss:1.181597+0.026502
## [458] train-mlogloss:0.004964+0.000022 test-mlogloss:1.181297+0.026448
## [459] train-mlogloss:0.004958+0.000022 test-mlogloss:1.181121+0.026716
## [460] train-mlogloss:0.004953+0.000022 test-mlogloss:1.181295+0.027399
## [461] train-mlogloss:0.004947+0.000022 test-mlogloss:1.181255+0.027222
## [462] train-mlogloss:0.004941+0.000022 test-mlogloss:1.181701+0.026727
## [463] train-mlogloss:0.004935+0.000021 test-mlogloss:1.181908+0.026803
## [464] train-mlogloss:0.004930+0.000021 test-mlogloss:1.181894+0.026883
## [465] train-mlogloss:0.004925+0.000020 test-mlogloss:1.181888+0.026648
## [466] train-mlogloss:0.004919+0.000019 test-mlogloss:1.182396+0.026487
## [467] train-mlogloss:0.004914+0.000019 test-mlogloss:1.182573+0.026416
## [468] train-mlogloss:0.004908+0.000018 test-mlogloss:1.182577+0.025973
## [469] train-mlogloss:0.004903+0.000018 test-mlogloss:1.183130+0.026343
## [470] train-mlogloss:0.004898+0.000018 test-mlogloss:1.183612+0.026184
## [471] train-mlogloss:0.004893+0.000018 test-mlogloss:1.183666+0.025915
## [472] train-mlogloss:0.004888+0.000018 test-mlogloss:1.183446+0.026058
## [473] train-mlogloss:0.004883+0.000019 test-mlogloss:1.183940+0.025820
## [474] train-mlogloss:0.004878+0.000019 test-mlogloss:1.184339+0.025996
## [475] train-mlogloss:0.004872+0.000019 test-mlogloss:1.184269+0.026133
## [476] train-mlogloss:0.004867+0.000019 test-mlogloss:1.184496+0.025639
## [477] train-mlogloss:0.004862+0.000019 test-mlogloss:1.184745+0.025937
## [478] train-mlogloss:0.004857+0.000018 test-mlogloss:1.184978+0.025751
## [479] train-mlogloss:0.004852+0.000019 test-mlogloss:1.185233+0.025764
## [480] train-mlogloss:0.004846+0.000019 test-mlogloss:1.185088+0.025926
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## [482] train-mlogloss:0.004835+0.000018 test-mlogloss:1.184921+0.026133
## [483] train-mlogloss:0.004830+0.000018 test-mlogloss:1.185418+0.025911
## [484] train-mlogloss:0.004825+0.000018 test-mlogloss:1.185246+0.026007
## [485] train-mlogloss:0.004818+0.000018 test-mlogloss:1.185680+0.026047
## [486] train-mlogloss:0.004813+0.000019 test-mlogloss:1.185813+0.026130
## [487] train-mlogloss:0.004808+0.000019 test-mlogloss:1.186055+0.025888
## [488] train-mlogloss:0.004803+0.000019 test-mlogloss:1.186193+0.025573
## [489] train-mlogloss:0.004798+0.000019 test-mlogloss:1.186262+0.025449
## [490] train-mlogloss:0.004793+0.000019 test-mlogloss:1.186756+0.025519
## [491] train-mlogloss:0.004788+0.000020 test-mlogloss:1.186993+0.025296
## [492] train-mlogloss:0.004782+0.000019 test-mlogloss:1.186809+0.025652
## [493] train-mlogloss:0.004777+0.000018 test-mlogloss:1.186761+0.025626
## [494] train-mlogloss:0.004772+0.000019 test-mlogloss:1.186965+0.026208
## [495] train-mlogloss:0.004766+0.000020 test-mlogloss:1.187072+0.026029
## [496] train-mlogloss:0.004762+0.000020 test-mlogloss:1.187499+0.025653
## [497] train-mlogloss:0.004757+0.000020 test-mlogloss:1.188062+0.025603
## [498] train-mlogloss:0.004753+0.000019 test-mlogloss:1.188098+0.025561
## [499] train-mlogloss:0.004748+0.000019 test-mlogloss:1.188356+0.025337
## [500] train-mlogloss:0.004743+0.000020 test-mlogloss:1.188897+0.025482
## [1] train-mlogloss:0.525036+0.002466 test-mlogloss:0.547949+0.007352
## [2] train-mlogloss:0.505151+0.002483 test-mlogloss:0.547053+0.009329
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## [5] train-mlogloss:0.486726+0.004118 test-mlogloss:0.558961+0.011739
## [6] train-mlogloss:0.479786+0.003516 test-mlogloss:0.564971+0.013650
## [7] train-mlogloss:0.473405+0.004341 test-mlogloss:0.568361+0.012763
## [8] train-mlogloss:0.465955+0.005260 test-mlogloss:0.572444+0.014209
## [9] train-mlogloss:0.460375+0.004397 test-mlogloss:0.576327+0.012495
## [10] train-mlogloss:0.452088+0.005475 test-mlogloss:0.582813+0.013597
## [11] train-mlogloss:0.445887+0.006591 test-mlogloss:0.587657+0.014894
## [12] train-mlogloss:0.437227+0.007856 test-mlogloss:0.594788+0.012763
## [13] train-mlogloss:0.431083+0.009032 test-mlogloss:0.600594+0.010968
## [14] train-mlogloss:0.423803+0.009815 test-mlogloss:0.607008+0.009946
## [15] train-mlogloss:0.417530+0.012159 test-mlogloss:0.609792+0.011007
## [16] train-mlogloss:0.412084+0.011936 test-mlogloss:0.613668+0.010148
## [17] train-mlogloss:0.408662+0.011748 test-mlogloss:0.615449+0.011996
## [18] train-mlogloss:0.404106+0.012005 test-mlogloss:0.621998+0.013367
## [19] train-mlogloss:0.398215+0.011045 test-mlogloss:0.624779+0.012263
## [20] train-mlogloss:0.392867+0.011507 test-mlogloss:0.629757+0.013335
## [21] train-mlogloss:0.387547+0.013416 test-mlogloss:0.633627+0.014016
## [22] train-mlogloss:0.382791+0.013974 test-mlogloss:0.638380+0.013486
## [23] train-mlogloss:0.377423+0.013146 test-mlogloss:0.641926+0.015369
## [24] train-mlogloss:0.371167+0.014048 test-mlogloss:0.648828+0.014752
## [25] train-mlogloss:0.363018+0.013014 test-mlogloss:0.655895+0.014668
## [26] train-mlogloss:0.355228+0.013533 test-mlogloss:0.662118+0.015603
## [27] train-mlogloss:0.349780+0.013895 test-mlogloss:0.666713+0.015933
## [28] train-mlogloss:0.344809+0.013449 test-mlogloss:0.669667+0.018970
## [29] train-mlogloss:0.339401+0.014878 test-mlogloss:0.676129+0.022008
## [30] train-mlogloss:0.335322+0.016054 test-mlogloss:0.678207+0.021821
## [31] train-mlogloss:0.331074+0.015630 test-mlogloss:0.680431+0.022059
## [32] train-mlogloss:0.326117+0.014300 test-mlogloss:0.683768+0.021510
## [33] train-mlogloss:0.322459+0.014979 test-mlogloss:0.685748+0.021965
## [34] train-mlogloss:0.317257+0.013639 test-mlogloss:0.691719+0.021201
## [35] train-mlogloss:0.312612+0.012998 test-mlogloss:0.695952+0.021510
## [36] train-mlogloss:0.308763+0.013034 test-mlogloss:0.699915+0.023182
## [37] train-mlogloss:0.305025+0.014309 test-mlogloss:0.705238+0.026640
## [38] train-mlogloss:0.301213+0.014184 test-mlogloss:0.705781+0.027629
## [39] train-mlogloss:0.297728+0.013927 test-mlogloss:0.707875+0.027585
## [40] train-mlogloss:0.293526+0.013145 test-mlogloss:0.712430+0.027263
## [41] train-mlogloss:0.289758+0.012698 test-mlogloss:0.715217+0.024460
## [42] train-mlogloss:0.285854+0.012412 test-mlogloss:0.718863+0.026831
## [43] train-mlogloss:0.280827+0.013046 test-mlogloss:0.719997+0.027506
## [44] train-mlogloss:0.275393+0.013329 test-mlogloss:0.724764+0.026027
## [45] train-mlogloss:0.270748+0.014875 test-mlogloss:0.730482+0.030030
## [46] train-mlogloss:0.266506+0.014755 test-mlogloss:0.733356+0.031209
## [47] train-mlogloss:0.262676+0.014560 test-mlogloss:0.735793+0.031087
## [48] train-mlogloss:0.257861+0.012542 test-mlogloss:0.741309+0.029544
## [49] train-mlogloss:0.254256+0.011438 test-mlogloss:0.743595+0.030059
## [50] train-mlogloss:0.250306+0.011420 test-mlogloss:0.746676+0.031188
## [51] train-mlogloss:0.247247+0.011369 test-mlogloss:0.748100+0.032764
## [52] train-mlogloss:0.243678+0.010585 test-mlogloss:0.750980+0.032107
## [53] train-mlogloss:0.239814+0.009489 test-mlogloss:0.754128+0.032665
## [54] train-mlogloss:0.236631+0.009304 test-mlogloss:0.757016+0.033708
## [55] train-mlogloss:0.233432+0.009245 test-mlogloss:0.759757+0.032868
## [56] train-mlogloss:0.230033+0.009295 test-mlogloss:0.763392+0.033955
## [57] train-mlogloss:0.225974+0.008785 test-mlogloss:0.765749+0.036406
## [58] train-mlogloss:0.223892+0.008227 test-mlogloss:0.768970+0.036218
## [59] train-mlogloss:0.221051+0.008034 test-mlogloss:0.771918+0.037727
## [60] train-mlogloss:0.217756+0.008716 test-mlogloss:0.775006+0.036606
## [61] train-mlogloss:0.215427+0.008899 test-mlogloss:0.777969+0.037841
## [62] train-mlogloss:0.213158+0.008954 test-mlogloss:0.780482+0.035454
## [63] train-mlogloss:0.210934+0.009275 test-mlogloss:0.783477+0.036482
## [64] train-mlogloss:0.208345+0.008052 test-mlogloss:0.783572+0.036712
## [65] train-mlogloss:0.204644+0.006976 test-mlogloss:0.790914+0.033193
## [66] train-mlogloss:0.202322+0.007137 test-mlogloss:0.792916+0.032610
## [67] train-mlogloss:0.199517+0.006287 test-mlogloss:0.797584+0.034900
## [68] train-mlogloss:0.197242+0.005833 test-mlogloss:0.800106+0.035430
## [69] train-mlogloss:0.194844+0.005527 test-mlogloss:0.801815+0.034697
## [70] train-mlogloss:0.192114+0.005878 test-mlogloss:0.805025+0.035777
## [71] train-mlogloss:0.188800+0.005513 test-mlogloss:0.809590+0.034292
## [72] train-mlogloss:0.185387+0.005463 test-mlogloss:0.812399+0.032406
## [73] train-mlogloss:0.182758+0.004950 test-mlogloss:0.814751+0.033029
## [74] train-mlogloss:0.180515+0.004473 test-mlogloss:0.817367+0.032357
## [75] train-mlogloss:0.178058+0.003586 test-mlogloss:0.819546+0.029280
## [76] train-mlogloss:0.175892+0.004337 test-mlogloss:0.820716+0.027110
## [77] train-mlogloss:0.173130+0.005444 test-mlogloss:0.825631+0.027475
## [78] train-mlogloss:0.170001+0.005906 test-mlogloss:0.831571+0.029368
## [79] train-mlogloss:0.167087+0.005884 test-mlogloss:0.835379+0.027113
## [80] train-mlogloss:0.164665+0.005827 test-mlogloss:0.836942+0.028319
## [81] train-mlogloss:0.161803+0.005936 test-mlogloss:0.840126+0.028196
## [82] train-mlogloss:0.159258+0.005889 test-mlogloss:0.843760+0.027167
## [83] train-mlogloss:0.157408+0.005750 test-mlogloss:0.845639+0.025833
## [84] train-mlogloss:0.155283+0.006073 test-mlogloss:0.848194+0.026723
## [85] train-mlogloss:0.153488+0.005867 test-mlogloss:0.850307+0.027441
## [86] train-mlogloss:0.151680+0.005772 test-mlogloss:0.852389+0.027376
## [87] train-mlogloss:0.149916+0.005734 test-mlogloss:0.851391+0.024530
## [88] train-mlogloss:0.148039+0.005722 test-mlogloss:0.854024+0.023819
## [89] train-mlogloss:0.146860+0.006005 test-mlogloss:0.855643+0.024331
## [90] train-mlogloss:0.145114+0.006186 test-mlogloss:0.857892+0.025752
## [91] train-mlogloss:0.142892+0.006032 test-mlogloss:0.860693+0.027905
## [92] train-mlogloss:0.140665+0.005369 test-mlogloss:0.862151+0.028563
## [93] train-mlogloss:0.138790+0.005518 test-mlogloss:0.864457+0.027750
## [94] train-mlogloss:0.136608+0.005513 test-mlogloss:0.867161+0.028436
## [95] train-mlogloss:0.134124+0.004906 test-mlogloss:0.867854+0.027972
## [96] train-mlogloss:0.132307+0.005077 test-mlogloss:0.869403+0.028900
## [97] train-mlogloss:0.130449+0.005014 test-mlogloss:0.870128+0.027611
## [98] train-mlogloss:0.128412+0.004929 test-mlogloss:0.874105+0.026950
## [99] train-mlogloss:0.126397+0.004200 test-mlogloss:0.878333+0.023864
## [100] train-mlogloss:0.124630+0.003702 test-mlogloss:0.882671+0.025216
## [101] train-mlogloss:0.123035+0.003965 test-mlogloss:0.884894+0.023417
## [102] train-mlogloss:0.121238+0.004187 test-mlogloss:0.887693+0.021974
## [103] train-mlogloss:0.119455+0.003902 test-mlogloss:0.890519+0.022983
## [104] train-mlogloss:0.117870+0.004412 test-mlogloss:0.892866+0.022278
## [105] train-mlogloss:0.116235+0.004501 test-mlogloss:0.895538+0.022300
## [106] train-mlogloss:0.114600+0.004462 test-mlogloss:0.897022+0.024753
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## [108] train-mlogloss:0.112437+0.004459 test-mlogloss:0.900591+0.023667
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## [139] train-mlogloss:0.076273+0.003446 test-mlogloss:0.960510+0.021467
## [140] train-mlogloss:0.075379+0.003470 test-mlogloss:0.962996+0.020405
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## [142] train-mlogloss:0.073404+0.003465 test-mlogloss:0.966588+0.018314
## [143] train-mlogloss:0.072673+0.003457 test-mlogloss:0.967796+0.017896
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## [158] train-mlogloss:0.061196+0.001810 test-mlogloss:0.993441+0.013797
## [159] train-mlogloss:0.060678+0.001936 test-mlogloss:0.994167+0.013624
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## [193] train-mlogloss:0.042986+0.001413 test-mlogloss:1.043405+0.025138
## [194] train-mlogloss:0.042561+0.001398 test-mlogloss:1.044778+0.025071
## [195] train-mlogloss:0.042174+0.001358 test-mlogloss:1.045120+0.024551
## [196] train-mlogloss:0.041853+0.001290 test-mlogloss:1.046855+0.024683
## [197] train-mlogloss:0.041537+0.001249 test-mlogloss:1.047208+0.023920
## [198] train-mlogloss:0.041161+0.001214 test-mlogloss:1.048540+0.024699
## [199] train-mlogloss:0.040808+0.001247 test-mlogloss:1.047864+0.024517
## [200] train-mlogloss:0.040438+0.001186 test-mlogloss:1.049893+0.023588
## [201] train-mlogloss:0.039981+0.001167 test-mlogloss:1.050949+0.024008
## [202] train-mlogloss:0.039646+0.001191 test-mlogloss:1.051659+0.024169
## [203] train-mlogloss:0.039277+0.001173 test-mlogloss:1.053738+0.024080
## [204] train-mlogloss:0.038799+0.001203 test-mlogloss:1.054907+0.022663
## [205] train-mlogloss:0.038347+0.001305 test-mlogloss:1.058611+0.023317
## [206] train-mlogloss:0.038036+0.001347 test-mlogloss:1.059246+0.024282
## [207] train-mlogloss:0.037711+0.001323 test-mlogloss:1.061071+0.025556
## [208] train-mlogloss:0.037497+0.001310 test-mlogloss:1.061859+0.025746
## [209] train-mlogloss:0.037178+0.001315 test-mlogloss:1.063682+0.026179
## [210] train-mlogloss:0.036834+0.001285 test-mlogloss:1.065470+0.026418
## [211] train-mlogloss:0.036523+0.001184 test-mlogloss:1.066735+0.027817
## [212] train-mlogloss:0.036220+0.001119 test-mlogloss:1.067626+0.027108
## [213] train-mlogloss:0.035898+0.001096 test-mlogloss:1.068138+0.029429
## [214] train-mlogloss:0.035668+0.001065 test-mlogloss:1.070283+0.029871
## [215] train-mlogloss:0.035420+0.001033 test-mlogloss:1.069869+0.028548
## [216] train-mlogloss:0.035125+0.000883 test-mlogloss:1.071904+0.028595
## [217] train-mlogloss:0.034853+0.000818 test-mlogloss:1.072896+0.028449
## [218] train-mlogloss:0.034513+0.000869 test-mlogloss:1.074311+0.029055
## [219] train-mlogloss:0.034256+0.000912 test-mlogloss:1.077164+0.028826
## [220] train-mlogloss:0.033851+0.001025 test-mlogloss:1.079447+0.028793
## [221] train-mlogloss:0.033593+0.001042 test-mlogloss:1.080555+0.027436
## [222] train-mlogloss:0.033283+0.001018 test-mlogloss:1.081282+0.027166
## [223] train-mlogloss:0.033017+0.001033 test-mlogloss:1.083692+0.028027
## [224] train-mlogloss:0.032764+0.001004 test-mlogloss:1.085817+0.027702
## [225] train-mlogloss:0.032579+0.000965 test-mlogloss:1.086307+0.027467
## [226] train-mlogloss:0.032318+0.000884 test-mlogloss:1.086272+0.027281
## [227] train-mlogloss:0.032022+0.000763 test-mlogloss:1.087265+0.028307
## [228] train-mlogloss:0.031778+0.000716 test-mlogloss:1.087438+0.029252
## [229] train-mlogloss:0.031521+0.000651 test-mlogloss:1.087895+0.029641
## [230] train-mlogloss:0.031307+0.000683 test-mlogloss:1.089977+0.029778
## [231] train-mlogloss:0.031145+0.000715 test-mlogloss:1.091851+0.029109
## [232] train-mlogloss:0.030891+0.000694 test-mlogloss:1.092796+0.029644
## [233] train-mlogloss:0.030699+0.000703 test-mlogloss:1.094417+0.029615
## [234] train-mlogloss:0.030525+0.000731 test-mlogloss:1.095613+0.029913
## [235] train-mlogloss:0.030338+0.000692 test-mlogloss:1.095857+0.029997
## [236] train-mlogloss:0.030105+0.000660 test-mlogloss:1.099029+0.030773
## [237] train-mlogloss:0.029793+0.000729 test-mlogloss:1.101889+0.031555
## [238] train-mlogloss:0.029546+0.000791 test-mlogloss:1.104005+0.030436
## [239] train-mlogloss:0.029280+0.000783 test-mlogloss:1.105638+0.029528
## [240] train-mlogloss:0.029087+0.000754 test-mlogloss:1.106203+0.030115
## [241] train-mlogloss:0.028811+0.000736 test-mlogloss:1.107186+0.030529
## [242] train-mlogloss:0.028608+0.000706 test-mlogloss:1.108647+0.028030
## [243] train-mlogloss:0.028377+0.000764 test-mlogloss:1.111202+0.030325
## [244] train-mlogloss:0.028082+0.000769 test-mlogloss:1.113106+0.031021
## [245] train-mlogloss:0.027823+0.000759 test-mlogloss:1.114045+0.029626
## [246] train-mlogloss:0.027635+0.000792 test-mlogloss:1.114703+0.028987
## [247] train-mlogloss:0.027391+0.000783 test-mlogloss:1.114123+0.028004
## [248] train-mlogloss:0.027210+0.000779 test-mlogloss:1.115445+0.029185
## [249] train-mlogloss:0.027012+0.000714 test-mlogloss:1.116014+0.028694
## [250] train-mlogloss:0.026887+0.000711 test-mlogloss:1.116506+0.028565
## [251] train-mlogloss:0.026776+0.000760 test-mlogloss:1.117594+0.027871
## [252] train-mlogloss:0.026628+0.000770 test-mlogloss:1.119890+0.027960
## [253] train-mlogloss:0.026511+0.000792 test-mlogloss:1.121689+0.028112
## [254] train-mlogloss:0.026310+0.000851 test-mlogloss:1.121622+0.029160
## [255] train-mlogloss:0.026139+0.000887 test-mlogloss:1.122993+0.029532
## [256] train-mlogloss:0.025999+0.000912 test-mlogloss:1.123318+0.028763
## [257] train-mlogloss:0.025848+0.000980 test-mlogloss:1.124311+0.027715
## [258] train-mlogloss:0.025634+0.001015 test-mlogloss:1.125715+0.027596
## [259] train-mlogloss:0.025495+0.000955 test-mlogloss:1.126578+0.027892
## [260] train-mlogloss:0.025251+0.001013 test-mlogloss:1.129396+0.028256
## [261] train-mlogloss:0.025096+0.001045 test-mlogloss:1.130465+0.027395
## [262] train-mlogloss:0.024844+0.001027 test-mlogloss:1.131123+0.027616
## [263] train-mlogloss:0.024653+0.000967 test-mlogloss:1.131803+0.027466
## [264] train-mlogloss:0.024463+0.000975 test-mlogloss:1.132720+0.026726
## [265] train-mlogloss:0.024328+0.000946 test-mlogloss:1.133134+0.026961
## [266] train-mlogloss:0.024158+0.000938 test-mlogloss:1.134542+0.025863
## [267] train-mlogloss:0.024013+0.000937 test-mlogloss:1.135212+0.025043
## [268] train-mlogloss:0.023878+0.000960 test-mlogloss:1.136100+0.025311
## [269] train-mlogloss:0.023703+0.000981 test-mlogloss:1.137745+0.025395
## [270] train-mlogloss:0.023581+0.000950 test-mlogloss:1.138254+0.025448
## [271] train-mlogloss:0.023418+0.000943 test-mlogloss:1.137809+0.026015
## [272] train-mlogloss:0.023227+0.000919 test-mlogloss:1.138413+0.025597
## [273] train-mlogloss:0.023054+0.000938 test-mlogloss:1.139308+0.026685
## [274] train-mlogloss:0.022899+0.000948 test-mlogloss:1.139265+0.027313
## [275] train-mlogloss:0.022760+0.000926 test-mlogloss:1.140672+0.026954
## [276] train-mlogloss:0.022598+0.000884 test-mlogloss:1.141392+0.027512
## [277] train-mlogloss:0.022497+0.000863 test-mlogloss:1.142499+0.027447
## [278] train-mlogloss:0.022367+0.000849 test-mlogloss:1.143236+0.027704
## [279] train-mlogloss:0.022193+0.000858 test-mlogloss:1.143821+0.029036
## [280] train-mlogloss:0.022063+0.000868 test-mlogloss:1.144321+0.029664
## [281] train-mlogloss:0.021872+0.000906 test-mlogloss:1.145039+0.030383
## [282] train-mlogloss:0.021744+0.000882 test-mlogloss:1.145221+0.030089
## [283] train-mlogloss:0.021631+0.000833 test-mlogloss:1.146343+0.030738
## [284] train-mlogloss:0.021526+0.000781 test-mlogloss:1.146872+0.030467
## [285] train-mlogloss:0.021368+0.000755 test-mlogloss:1.147682+0.030706
## [286] train-mlogloss:0.021253+0.000747 test-mlogloss:1.148441+0.030976
## [287] train-mlogloss:0.021152+0.000735 test-mlogloss:1.149077+0.031879
## [288] train-mlogloss:0.021031+0.000767 test-mlogloss:1.149173+0.031550
## [289] train-mlogloss:0.020924+0.000798 test-mlogloss:1.149803+0.032370
## [290] train-mlogloss:0.020828+0.000843 test-mlogloss:1.150968+0.031970
## [291] train-mlogloss:0.020709+0.000820 test-mlogloss:1.151279+0.031700
## [292] train-mlogloss:0.020578+0.000773 test-mlogloss:1.151254+0.032805
## [293] train-mlogloss:0.020506+0.000780 test-mlogloss:1.152074+0.032786
## [294] train-mlogloss:0.020384+0.000812 test-mlogloss:1.153969+0.032290
## [295] train-mlogloss:0.020291+0.000775 test-mlogloss:1.154155+0.032804
## [296] train-mlogloss:0.020216+0.000767 test-mlogloss:1.154788+0.033380
## [297] train-mlogloss:0.020096+0.000747 test-mlogloss:1.155520+0.032356
## [298] train-mlogloss:0.019992+0.000767 test-mlogloss:1.155993+0.032540
## [299] train-mlogloss:0.019874+0.000749 test-mlogloss:1.155948+0.032194
## [300] train-mlogloss:0.019795+0.000766 test-mlogloss:1.156355+0.031332
## [301] train-mlogloss:0.019676+0.000758 test-mlogloss:1.157478+0.031069
## [302] train-mlogloss:0.019595+0.000760 test-mlogloss:1.157887+0.032198
## [303] train-mlogloss:0.019504+0.000707 test-mlogloss:1.157752+0.031934
## [304] train-mlogloss:0.019402+0.000671 test-mlogloss:1.159024+0.031618
## [305] train-mlogloss:0.019261+0.000649 test-mlogloss:1.160890+0.032346
## [306] train-mlogloss:0.019136+0.000599 test-mlogloss:1.160909+0.031597
## [307] train-mlogloss:0.019034+0.000589 test-mlogloss:1.162051+0.030817
## [308] train-mlogloss:0.018939+0.000612 test-mlogloss:1.162273+0.029760
## [309] train-mlogloss:0.018846+0.000581 test-mlogloss:1.162624+0.029443
## [310] train-mlogloss:0.018740+0.000604 test-mlogloss:1.164464+0.030929
## [311] train-mlogloss:0.018633+0.000616 test-mlogloss:1.164545+0.030999
## [312] train-mlogloss:0.018511+0.000630 test-mlogloss:1.165798+0.031261
## [313] train-mlogloss:0.018401+0.000633 test-mlogloss:1.166464+0.030657
## [314] train-mlogloss:0.018310+0.000628 test-mlogloss:1.166873+0.030681
## [315] train-mlogloss:0.018219+0.000633 test-mlogloss:1.167410+0.029735
## [316] train-mlogloss:0.018122+0.000645 test-mlogloss:1.168159+0.030522
## [317] train-mlogloss:0.018001+0.000635 test-mlogloss:1.169540+0.030204
## [318] train-mlogloss:0.017912+0.000662 test-mlogloss:1.170324+0.031063
## [319] train-mlogloss:0.017819+0.000692 test-mlogloss:1.171047+0.031226
## [320] train-mlogloss:0.017736+0.000696 test-mlogloss:1.171902+0.030729
## [321] train-mlogloss:0.017641+0.000669 test-mlogloss:1.173341+0.030879
## [322] train-mlogloss:0.017543+0.000633 test-mlogloss:1.174748+0.031290
## [323] train-mlogloss:0.017449+0.000622 test-mlogloss:1.174346+0.030193
## [324] train-mlogloss:0.017374+0.000637 test-mlogloss:1.175263+0.030126
## [325] train-mlogloss:0.017316+0.000636 test-mlogloss:1.176107+0.030971
## [326] train-mlogloss:0.017246+0.000621 test-mlogloss:1.177130+0.031384
## [327] train-mlogloss:0.017190+0.000630 test-mlogloss:1.176697+0.031346
## [328] train-mlogloss:0.017107+0.000612 test-mlogloss:1.176696+0.030948
## [329] train-mlogloss:0.017007+0.000626 test-mlogloss:1.178280+0.031211
## [330] train-mlogloss:0.016915+0.000640 test-mlogloss:1.177685+0.032048
## [331] train-mlogloss:0.016846+0.000650 test-mlogloss:1.178585+0.031200
## [332] train-mlogloss:0.016805+0.000652 test-mlogloss:1.179368+0.030772
## [333] train-mlogloss:0.016728+0.000654 test-mlogloss:1.179915+0.030652
## [334] train-mlogloss:0.016662+0.000644 test-mlogloss:1.180322+0.030150
## [335] train-mlogloss:0.016574+0.000611 test-mlogloss:1.181409+0.030191
## [336] train-mlogloss:0.016489+0.000615 test-mlogloss:1.182809+0.030579
## [337] train-mlogloss:0.016397+0.000570 test-mlogloss:1.183387+0.031089
## [338] train-mlogloss:0.016306+0.000576 test-mlogloss:1.183940+0.032096
## [339] train-mlogloss:0.016231+0.000574 test-mlogloss:1.184003+0.032257
## [340] train-mlogloss:0.016139+0.000535 test-mlogloss:1.185511+0.032496
## [341] train-mlogloss:0.016040+0.000538 test-mlogloss:1.184796+0.032252
## [342] train-mlogloss:0.015936+0.000544 test-mlogloss:1.186097+0.032156
## [343] train-mlogloss:0.015861+0.000526 test-mlogloss:1.187019+0.033078
## [344] train-mlogloss:0.015754+0.000537 test-mlogloss:1.187329+0.032595
## [345] train-mlogloss:0.015688+0.000558 test-mlogloss:1.188747+0.032923
## [346] train-mlogloss:0.015596+0.000571 test-mlogloss:1.189297+0.033068
## [347] train-mlogloss:0.015531+0.000572 test-mlogloss:1.190149+0.032916
## [348] train-mlogloss:0.015467+0.000571 test-mlogloss:1.191250+0.033427
## [349] train-mlogloss:0.015416+0.000580 test-mlogloss:1.191836+0.034432
## [350] train-mlogloss:0.015346+0.000555 test-mlogloss:1.191861+0.034979
## [351] train-mlogloss:0.015260+0.000568 test-mlogloss:1.193265+0.034360
## [352] train-mlogloss:0.015203+0.000530 test-mlogloss:1.193352+0.034714
## [353] train-mlogloss:0.015136+0.000515 test-mlogloss:1.193972+0.035011
## [354] train-mlogloss:0.015061+0.000499 test-mlogloss:1.194820+0.035977
## [355] train-mlogloss:0.014990+0.000505 test-mlogloss:1.194968+0.035966
## [356] train-mlogloss:0.014916+0.000490 test-mlogloss:1.195345+0.035273
## [357] train-mlogloss:0.014857+0.000508 test-mlogloss:1.196236+0.035686
## [358] train-mlogloss:0.014790+0.000488 test-mlogloss:1.196424+0.036054
## [359] train-mlogloss:0.014733+0.000488 test-mlogloss:1.196717+0.036068
## [360] train-mlogloss:0.014682+0.000498 test-mlogloss:1.197541+0.035626
## [361] train-mlogloss:0.014625+0.000491 test-mlogloss:1.197369+0.035651
## [362] train-mlogloss:0.014575+0.000487 test-mlogloss:1.197698+0.036258
## [363] train-mlogloss:0.014518+0.000506 test-mlogloss:1.198009+0.036104
## [364] train-mlogloss:0.014451+0.000485 test-mlogloss:1.199284+0.035912
## [365] train-mlogloss:0.014381+0.000451 test-mlogloss:1.199777+0.035951
## [366] train-mlogloss:0.014334+0.000444 test-mlogloss:1.199631+0.036754
## [367] train-mlogloss:0.014280+0.000423 test-mlogloss:1.200325+0.037864
## [368] train-mlogloss:0.014218+0.000421 test-mlogloss:1.201688+0.036928
## [369] train-mlogloss:0.014161+0.000420 test-mlogloss:1.203256+0.037426
## [370] train-mlogloss:0.014106+0.000415 test-mlogloss:1.204126+0.037079
## [371] train-mlogloss:0.014026+0.000397 test-mlogloss:1.204969+0.036776
## [372] train-mlogloss:0.013962+0.000395 test-mlogloss:1.204811+0.036969
## [373] train-mlogloss:0.013910+0.000380 test-mlogloss:1.204965+0.037133
## [374] train-mlogloss:0.013835+0.000387 test-mlogloss:1.206057+0.037312
## [375] train-mlogloss:0.013775+0.000377 test-mlogloss:1.207434+0.037247
## [376] train-mlogloss:0.013723+0.000372 test-mlogloss:1.208002+0.037393
## [377] train-mlogloss:0.013665+0.000368 test-mlogloss:1.209370+0.037061
## [378] train-mlogloss:0.013597+0.000371 test-mlogloss:1.209104+0.037704
## [379] train-mlogloss:0.013535+0.000379 test-mlogloss:1.209955+0.037553
## [380] train-mlogloss:0.013487+0.000387 test-mlogloss:1.211893+0.037540
## [381] train-mlogloss:0.013426+0.000368 test-mlogloss:1.212048+0.038255
## [382] train-mlogloss:0.013366+0.000360 test-mlogloss:1.212302+0.038384
## [383] train-mlogloss:0.013321+0.000371 test-mlogloss:1.212953+0.038807
## [384] train-mlogloss:0.013247+0.000344 test-mlogloss:1.214342+0.039030
## [385] train-mlogloss:0.013198+0.000328 test-mlogloss:1.214447+0.038643
## [386] train-mlogloss:0.013166+0.000332 test-mlogloss:1.215049+0.039126
## [387] train-mlogloss:0.013137+0.000327 test-mlogloss:1.214671+0.038793
## [388] train-mlogloss:0.013098+0.000331 test-mlogloss:1.215190+0.039121
## [389] train-mlogloss:0.013021+0.000292 test-mlogloss:1.215708+0.038875
## [390] train-mlogloss:0.012970+0.000282 test-mlogloss:1.215405+0.038981
## [391] train-mlogloss:0.012912+0.000272 test-mlogloss:1.216183+0.038754
## [392] train-mlogloss:0.012855+0.000272 test-mlogloss:1.218176+0.039835
## [393] train-mlogloss:0.012800+0.000264 test-mlogloss:1.218900+0.039547
## [394] train-mlogloss:0.012748+0.000258 test-mlogloss:1.219191+0.039957
## [395] train-mlogloss:0.012700+0.000251 test-mlogloss:1.219348+0.039597
## [396] train-mlogloss:0.012668+0.000242 test-mlogloss:1.219544+0.039443
## [397] train-mlogloss:0.012627+0.000246 test-mlogloss:1.220699+0.038593
## [398] train-mlogloss:0.012588+0.000231 test-mlogloss:1.220863+0.039161
## [399] train-mlogloss:0.012543+0.000231 test-mlogloss:1.221244+0.039037
## [400] train-mlogloss:0.012503+0.000217 test-mlogloss:1.221950+0.039255
## [401] train-mlogloss:0.012462+0.000220 test-mlogloss:1.222545+0.040219
## [402] train-mlogloss:0.012419+0.000225 test-mlogloss:1.222408+0.040618
## [403] train-mlogloss:0.012370+0.000233 test-mlogloss:1.223373+0.039850
## [404] train-mlogloss:0.012335+0.000238 test-mlogloss:1.224280+0.039528
## [405] train-mlogloss:0.012275+0.000227 test-mlogloss:1.225606+0.040269
## [406] train-mlogloss:0.012219+0.000233 test-mlogloss:1.226369+0.040390
## [407] train-mlogloss:0.012177+0.000245 test-mlogloss:1.226630+0.040249
## [408] train-mlogloss:0.012132+0.000248 test-mlogloss:1.227356+0.039643
## [409] train-mlogloss:0.012102+0.000254 test-mlogloss:1.228625+0.039667
## [410] train-mlogloss:0.012062+0.000263 test-mlogloss:1.228925+0.040387
## [411] train-mlogloss:0.012004+0.000257 test-mlogloss:1.230198+0.039766
## [412] train-mlogloss:0.011950+0.000252 test-mlogloss:1.231870+0.039677
## [413] train-mlogloss:0.011902+0.000233 test-mlogloss:1.231602+0.040095
## [414] train-mlogloss:0.011859+0.000233 test-mlogloss:1.232454+0.039941
## [415] train-mlogloss:0.011835+0.000232 test-mlogloss:1.233533+0.040008
## [416] train-mlogloss:0.011796+0.000234 test-mlogloss:1.233961+0.040440
## [417] train-mlogloss:0.011771+0.000232 test-mlogloss:1.235042+0.039929
## [418] train-mlogloss:0.011748+0.000223 test-mlogloss:1.235517+0.040042
## [419] train-mlogloss:0.011716+0.000215 test-mlogloss:1.236878+0.040251
## [420] train-mlogloss:0.011674+0.000203 test-mlogloss:1.237984+0.039875
## [421] train-mlogloss:0.011624+0.000203 test-mlogloss:1.238706+0.039765
## [422] train-mlogloss:0.011591+0.000208 test-mlogloss:1.239400+0.040481
## [423] train-mlogloss:0.011553+0.000197 test-mlogloss:1.240187+0.040248
## [424] train-mlogloss:0.011512+0.000195 test-mlogloss:1.240409+0.039896
## [425] train-mlogloss:0.011470+0.000189 test-mlogloss:1.241378+0.039973
## [426] train-mlogloss:0.011437+0.000192 test-mlogloss:1.241317+0.039912
## [427] train-mlogloss:0.011400+0.000169 test-mlogloss:1.241211+0.040291
## [428] train-mlogloss:0.011352+0.000146 test-mlogloss:1.241707+0.040426
## [429] train-mlogloss:0.011311+0.000145 test-mlogloss:1.242473+0.040678
## [430] train-mlogloss:0.011276+0.000145 test-mlogloss:1.242933+0.040845
## [431] train-mlogloss:0.011234+0.000146 test-mlogloss:1.242915+0.040695
## [432] train-mlogloss:0.011208+0.000147 test-mlogloss:1.243426+0.040065
## [433] train-mlogloss:0.011163+0.000156 test-mlogloss:1.243955+0.039316
## [434] train-mlogloss:0.011119+0.000164 test-mlogloss:1.244415+0.039336
## [435] train-mlogloss:0.011081+0.000175 test-mlogloss:1.244579+0.039387
## [436] train-mlogloss:0.011041+0.000173 test-mlogloss:1.244391+0.039967
## [437] train-mlogloss:0.011010+0.000178 test-mlogloss:1.244783+0.040270
## [438] train-mlogloss:0.010969+0.000181 test-mlogloss:1.245076+0.040395
## [439] train-mlogloss:0.010925+0.000189 test-mlogloss:1.245484+0.040197
## [440] train-mlogloss:0.010873+0.000186 test-mlogloss:1.246778+0.039604
## [441] train-mlogloss:0.010835+0.000192 test-mlogloss:1.247669+0.039632
## [442] train-mlogloss:0.010796+0.000206 test-mlogloss:1.248291+0.040525
## [443] train-mlogloss:0.010767+0.000203 test-mlogloss:1.248731+0.040192
## [444] train-mlogloss:0.010729+0.000194 test-mlogloss:1.249479+0.040423
## [445] train-mlogloss:0.010689+0.000192 test-mlogloss:1.250995+0.040237
## [446] train-mlogloss:0.010651+0.000190 test-mlogloss:1.251359+0.040042
## [447] train-mlogloss:0.010621+0.000184 test-mlogloss:1.251412+0.040953
## [448] train-mlogloss:0.010595+0.000173 test-mlogloss:1.251925+0.040935
## [449] train-mlogloss:0.010569+0.000169 test-mlogloss:1.252176+0.040647
## [450] train-mlogloss:0.010532+0.000166 test-mlogloss:1.253372+0.040620
## [451] train-mlogloss:0.010507+0.000162 test-mlogloss:1.253893+0.040575
## [452] train-mlogloss:0.010463+0.000158 test-mlogloss:1.254745+0.041143
## [453] train-mlogloss:0.010439+0.000153 test-mlogloss:1.254654+0.041333
## [454] train-mlogloss:0.010401+0.000149 test-mlogloss:1.255189+0.040705
## [455] train-mlogloss:0.010366+0.000149 test-mlogloss:1.256414+0.041493
## [456] train-mlogloss:0.010332+0.000146 test-mlogloss:1.256899+0.042139
## [457] train-mlogloss:0.010303+0.000141 test-mlogloss:1.256977+0.041861
## [458] train-mlogloss:0.010263+0.000141 test-mlogloss:1.256586+0.040564
## [459] train-mlogloss:0.010235+0.000144 test-mlogloss:1.257169+0.040574
## [460] train-mlogloss:0.010203+0.000145 test-mlogloss:1.257118+0.039994
## [461] train-mlogloss:0.010167+0.000138 test-mlogloss:1.257454+0.040257
## [462] train-mlogloss:0.010138+0.000136 test-mlogloss:1.257896+0.041058
## [463] train-mlogloss:0.010109+0.000132 test-mlogloss:1.258531+0.041112
## [464] train-mlogloss:0.010076+0.000135 test-mlogloss:1.259176+0.041923
## [465] train-mlogloss:0.010045+0.000140 test-mlogloss:1.260119+0.042410
## [466] train-mlogloss:0.010017+0.000133 test-mlogloss:1.261537+0.042580
## [467] train-mlogloss:0.009977+0.000130 test-mlogloss:1.262343+0.043730
## [468] train-mlogloss:0.009937+0.000142 test-mlogloss:1.263102+0.043254
## [469] train-mlogloss:0.009894+0.000138 test-mlogloss:1.263955+0.043402
## [470] train-mlogloss:0.009865+0.000136 test-mlogloss:1.264410+0.042888
## [471] train-mlogloss:0.009837+0.000148 test-mlogloss:1.265423+0.043149
## [472] train-mlogloss:0.009812+0.000151 test-mlogloss:1.265565+0.042248
## [473] train-mlogloss:0.009790+0.000150 test-mlogloss:1.265846+0.042409
## [474] train-mlogloss:0.009754+0.000142 test-mlogloss:1.267154+0.042219
## [475] train-mlogloss:0.009726+0.000135 test-mlogloss:1.267367+0.041449
## [476] train-mlogloss:0.009694+0.000138 test-mlogloss:1.268079+0.041494
## [477] train-mlogloss:0.009663+0.000131 test-mlogloss:1.268520+0.041695
## [478] train-mlogloss:0.009633+0.000124 test-mlogloss:1.268332+0.041562
## [479] train-mlogloss:0.009597+0.000117 test-mlogloss:1.268670+0.041602
## [480] train-mlogloss:0.009568+0.000117 test-mlogloss:1.268794+0.041159
## [481] train-mlogloss:0.009532+0.000120 test-mlogloss:1.268769+0.041801
## [482] train-mlogloss:0.009507+0.000123 test-mlogloss:1.268995+0.042174
## [483] train-mlogloss:0.009476+0.000130 test-mlogloss:1.268703+0.040971
## [484] train-mlogloss:0.009449+0.000128 test-mlogloss:1.269010+0.041505
## [485] train-mlogloss:0.009424+0.000130 test-mlogloss:1.269480+0.041794
## [486] train-mlogloss:0.009401+0.000126 test-mlogloss:1.269269+0.042031
## [487] train-mlogloss:0.009378+0.000120 test-mlogloss:1.269684+0.042564
## [488] train-mlogloss:0.009354+0.000119 test-mlogloss:1.269642+0.042548
## [489] train-mlogloss:0.009333+0.000127 test-mlogloss:1.270438+0.042465
## [490] train-mlogloss:0.009305+0.000130 test-mlogloss:1.270535+0.043085
## [491] train-mlogloss:0.009276+0.000136 test-mlogloss:1.270541+0.042094
## [492] train-mlogloss:0.009244+0.000136 test-mlogloss:1.270451+0.042469
## [493] train-mlogloss:0.009225+0.000139 test-mlogloss:1.271173+0.042924
## [494] train-mlogloss:0.009198+0.000140 test-mlogloss:1.272071+0.043051
## [495] train-mlogloss:0.009170+0.000143 test-mlogloss:1.273058+0.043257
## [496] train-mlogloss:0.009145+0.000147 test-mlogloss:1.273101+0.043108
## [497] train-mlogloss:0.009123+0.000152 test-mlogloss:1.272953+0.042798
## [498] train-mlogloss:0.009097+0.000157 test-mlogloss:1.273571+0.042655
## [499] train-mlogloss:0.009074+0.000153 test-mlogloss:1.273320+0.042689
## [500] train-mlogloss:0.009053+0.000158 test-mlogloss:1.273745+0.042304
## [1] train-mlogloss:0.416933+0.002636 test-mlogloss:0.618240+0.015997
## [2] train-mlogloss:0.320549+0.003069 test-mlogloss:0.662424+0.018102
## [3] train-mlogloss:0.255650+0.003084 test-mlogloss:0.713500+0.023343
## [4] train-mlogloss:0.208018+0.002852 test-mlogloss:0.746475+0.028934
## [5] train-mlogloss:0.174000+0.002251 test-mlogloss:0.777671+0.031418
## [6] train-mlogloss:0.150788+0.003172 test-mlogloss:0.800365+0.032489
## [7] train-mlogloss:0.133449+0.005316 test-mlogloss:0.819089+0.035883
## [8] train-mlogloss:0.115642+0.004267 test-mlogloss:0.832830+0.042567
## [9] train-mlogloss:0.102845+0.004793 test-mlogloss:0.847318+0.044939
## [10] train-mlogloss:0.091867+0.004270 test-mlogloss:0.862700+0.040855
## [11] train-mlogloss:0.083774+0.004672 test-mlogloss:0.878309+0.042803
## [12] train-mlogloss:0.076145+0.003699 test-mlogloss:0.892840+0.038888
## [13] train-mlogloss:0.070039+0.003286 test-mlogloss:0.901533+0.036084
## [14] train-mlogloss:0.064458+0.002831 test-mlogloss:0.912504+0.039085
## [15] train-mlogloss:0.059489+0.002328 test-mlogloss:0.924102+0.037033
## [16] train-mlogloss:0.055429+0.001990 test-mlogloss:0.933417+0.040572
## [17] train-mlogloss:0.051922+0.001649 test-mlogloss:0.943327+0.039642
## [18] train-mlogloss:0.049112+0.001158 test-mlogloss:0.947868+0.041310
## [19] train-mlogloss:0.046251+0.001014 test-mlogloss:0.953701+0.040629
## [20] train-mlogloss:0.043810+0.000769 test-mlogloss:0.959423+0.040845
## [21] train-mlogloss:0.041647+0.000750 test-mlogloss:0.962696+0.042945
## [22] train-mlogloss:0.039688+0.000668 test-mlogloss:0.967534+0.042129
## [23] train-mlogloss:0.037864+0.000679 test-mlogloss:0.974231+0.043108
## [24] train-mlogloss:0.036163+0.000658 test-mlogloss:0.981017+0.040829
## [25] train-mlogloss:0.034775+0.000690 test-mlogloss:0.985577+0.040977
## [26] train-mlogloss:0.033496+0.000592 test-mlogloss:0.991863+0.042540
## [27] train-mlogloss:0.032250+0.000565 test-mlogloss:0.996867+0.042709
## [28] train-mlogloss:0.031091+0.000543 test-mlogloss:1.000839+0.042173
## [29] train-mlogloss:0.030047+0.000505 test-mlogloss:1.005523+0.041489
## [30] train-mlogloss:0.029177+0.000421 test-mlogloss:1.007619+0.039894
## [31] train-mlogloss:0.028271+0.000338 test-mlogloss:1.012612+0.039719
## [32] train-mlogloss:0.027425+0.000340 test-mlogloss:1.020604+0.040897
## [33] train-mlogloss:0.026636+0.000351 test-mlogloss:1.024080+0.040960
## [34] train-mlogloss:0.025921+0.000332 test-mlogloss:1.028814+0.040944
## [35] train-mlogloss:0.025213+0.000302 test-mlogloss:1.034321+0.041763
## [36] train-mlogloss:0.024541+0.000284 test-mlogloss:1.038914+0.042514
## [37] train-mlogloss:0.023936+0.000282 test-mlogloss:1.042160+0.040349
## [38] train-mlogloss:0.023354+0.000245 test-mlogloss:1.043862+0.040259
## [39] train-mlogloss:0.022779+0.000214 test-mlogloss:1.045991+0.041414
## [40] train-mlogloss:0.022247+0.000206 test-mlogloss:1.047773+0.041328
## [41] train-mlogloss:0.021700+0.000208 test-mlogloss:1.048789+0.044816
## [42] train-mlogloss:0.021191+0.000197 test-mlogloss:1.052321+0.045683
## [43] train-mlogloss:0.020754+0.000210 test-mlogloss:1.055447+0.044390
## [44] train-mlogloss:0.020331+0.000215 test-mlogloss:1.057116+0.044565
## [45] train-mlogloss:0.019923+0.000208 test-mlogloss:1.059650+0.042997
## [46] train-mlogloss:0.019559+0.000201 test-mlogloss:1.062407+0.042980
## [47] train-mlogloss:0.019216+0.000198 test-mlogloss:1.064785+0.044832
## [48] train-mlogloss:0.018894+0.000198 test-mlogloss:1.066808+0.046481
## [49] train-mlogloss:0.018558+0.000192 test-mlogloss:1.069476+0.045552
## [50] train-mlogloss:0.018214+0.000194 test-mlogloss:1.073024+0.046026
## [51] train-mlogloss:0.017892+0.000180 test-mlogloss:1.076511+0.044843
## [52] train-mlogloss:0.017598+0.000168 test-mlogloss:1.078572+0.045480
## [53] train-mlogloss:0.017315+0.000150 test-mlogloss:1.079901+0.046709
## [54] train-mlogloss:0.017054+0.000125 test-mlogloss:1.080580+0.046167
## [55] train-mlogloss:0.016802+0.000105 test-mlogloss:1.082942+0.047560
## [56] train-mlogloss:0.016547+0.000110 test-mlogloss:1.086746+0.047526
## [57] train-mlogloss:0.016290+0.000141 test-mlogloss:1.088350+0.045955
## [58] train-mlogloss:0.016071+0.000121 test-mlogloss:1.092069+0.044928
## [59] train-mlogloss:0.015855+0.000125 test-mlogloss:1.094345+0.045130
## [60] train-mlogloss:0.015648+0.000126 test-mlogloss:1.093938+0.044514
## [61] train-mlogloss:0.015448+0.000128 test-mlogloss:1.097522+0.043978
## [62] train-mlogloss:0.015235+0.000129 test-mlogloss:1.100305+0.045421
## [63] train-mlogloss:0.015049+0.000124 test-mlogloss:1.102163+0.044774
## [64] train-mlogloss:0.014875+0.000114 test-mlogloss:1.103466+0.045717
## [65] train-mlogloss:0.014693+0.000128 test-mlogloss:1.105109+0.045419
## [66] train-mlogloss:0.014511+0.000128 test-mlogloss:1.106894+0.045281
## [67] train-mlogloss:0.014353+0.000120 test-mlogloss:1.108555+0.043479
## [68] train-mlogloss:0.014171+0.000112 test-mlogloss:1.110365+0.043748
## [69] train-mlogloss:0.014012+0.000113 test-mlogloss:1.111565+0.043680
## [70] train-mlogloss:0.013853+0.000106 test-mlogloss:1.113568+0.042745
## [71] train-mlogloss:0.013708+0.000096 test-mlogloss:1.115486+0.043481
## [72] train-mlogloss:0.013555+0.000100 test-mlogloss:1.116923+0.043841
## [73] train-mlogloss:0.013409+0.000105 test-mlogloss:1.117865+0.044650
## [74] train-mlogloss:0.013278+0.000110 test-mlogloss:1.119289+0.044702
## [75] train-mlogloss:0.013142+0.000099 test-mlogloss:1.121329+0.043492
## [76] train-mlogloss:0.013005+0.000101 test-mlogloss:1.121846+0.042572
## [77] train-mlogloss:0.012885+0.000104 test-mlogloss:1.122256+0.044628
## [78] train-mlogloss:0.012754+0.000111 test-mlogloss:1.124769+0.045155
## [79] train-mlogloss:0.012635+0.000109 test-mlogloss:1.124318+0.045701
## [80] train-mlogloss:0.012502+0.000114 test-mlogloss:1.126121+0.045595
## [81] train-mlogloss:0.012388+0.000113 test-mlogloss:1.127471+0.045640
## [82] train-mlogloss:0.012268+0.000117 test-mlogloss:1.129092+0.044636
## [83] train-mlogloss:0.012160+0.000118 test-mlogloss:1.131028+0.045730
## [84] train-mlogloss:0.012053+0.000110 test-mlogloss:1.131176+0.044333
## [85] train-mlogloss:0.011947+0.000118 test-mlogloss:1.132525+0.043846
## [86] train-mlogloss:0.011845+0.000119 test-mlogloss:1.133978+0.044402
## [87] train-mlogloss:0.011746+0.000118 test-mlogloss:1.135708+0.045357
## [88] train-mlogloss:0.011652+0.000116 test-mlogloss:1.135839+0.045982
## [89] train-mlogloss:0.011554+0.000116 test-mlogloss:1.137836+0.046098
## [90] train-mlogloss:0.011461+0.000118 test-mlogloss:1.139757+0.046313
## [91] train-mlogloss:0.011361+0.000114 test-mlogloss:1.140974+0.046376
## [92] train-mlogloss:0.011278+0.000108 test-mlogloss:1.141807+0.046262
## [93] train-mlogloss:0.011190+0.000101 test-mlogloss:1.143398+0.045491
## [94] train-mlogloss:0.011103+0.000102 test-mlogloss:1.144254+0.044991
## [95] train-mlogloss:0.011023+0.000102 test-mlogloss:1.144845+0.045108
## [96] train-mlogloss:0.010942+0.000105 test-mlogloss:1.145808+0.045287
## [97] train-mlogloss:0.010863+0.000110 test-mlogloss:1.146855+0.045140
## [98] train-mlogloss:0.010785+0.000106 test-mlogloss:1.146956+0.045382
## [99] train-mlogloss:0.010704+0.000106 test-mlogloss:1.147545+0.045601
## [100] train-mlogloss:0.010626+0.000098 test-mlogloss:1.147239+0.045698
## [101] train-mlogloss:0.010552+0.000096 test-mlogloss:1.148205+0.046271
## [102] train-mlogloss:0.010482+0.000093 test-mlogloss:1.148788+0.046756
## [103] train-mlogloss:0.010410+0.000093 test-mlogloss:1.148659+0.047598
## [104] train-mlogloss:0.010345+0.000092 test-mlogloss:1.149008+0.047119
## [105] train-mlogloss:0.010281+0.000094 test-mlogloss:1.150433+0.047636
## [106] train-mlogloss:0.010217+0.000097 test-mlogloss:1.151167+0.047273
## [107] train-mlogloss:0.010149+0.000092 test-mlogloss:1.152246+0.047826
## [108] train-mlogloss:0.010078+0.000090 test-mlogloss:1.153744+0.047597
## [109] train-mlogloss:0.010009+0.000083 test-mlogloss:1.155130+0.047740
## [110] train-mlogloss:0.009952+0.000085 test-mlogloss:1.155876+0.047340
## [111] train-mlogloss:0.009887+0.000088 test-mlogloss:1.155421+0.046797
## [112] train-mlogloss:0.009823+0.000088 test-mlogloss:1.156786+0.047599
## [113] train-mlogloss:0.009765+0.000095 test-mlogloss:1.156310+0.047082
## [114] train-mlogloss:0.009706+0.000091 test-mlogloss:1.157807+0.047263
## [115] train-mlogloss:0.009646+0.000090 test-mlogloss:1.158525+0.046891
## [116] train-mlogloss:0.009587+0.000087 test-mlogloss:1.159072+0.047479
## [117] train-mlogloss:0.009529+0.000085 test-mlogloss:1.160060+0.048934
## [118] train-mlogloss:0.009478+0.000085 test-mlogloss:1.159731+0.047690
## [119] train-mlogloss:0.009425+0.000082 test-mlogloss:1.160938+0.047480
## [120] train-mlogloss:0.009373+0.000086 test-mlogloss:1.161990+0.047683
## [121] train-mlogloss:0.009322+0.000088 test-mlogloss:1.162911+0.047661
## [122] train-mlogloss:0.009269+0.000088 test-mlogloss:1.162230+0.047200
## [123] train-mlogloss:0.009217+0.000091 test-mlogloss:1.164013+0.047296
## [124] train-mlogloss:0.009167+0.000095 test-mlogloss:1.164695+0.046569
## [125] train-mlogloss:0.009117+0.000095 test-mlogloss:1.164937+0.046543
## [126] train-mlogloss:0.009070+0.000095 test-mlogloss:1.165563+0.047839
## [127] train-mlogloss:0.009023+0.000098 test-mlogloss:1.166518+0.047930
## [128] train-mlogloss:0.008982+0.000101 test-mlogloss:1.168367+0.048367
## [129] train-mlogloss:0.008933+0.000103 test-mlogloss:1.169777+0.048190
## [130] train-mlogloss:0.008890+0.000103 test-mlogloss:1.170964+0.048541
## [131] train-mlogloss:0.008842+0.000097 test-mlogloss:1.171291+0.049887
## [132] train-mlogloss:0.008798+0.000092 test-mlogloss:1.171401+0.049876
## [133] train-mlogloss:0.008754+0.000091 test-mlogloss:1.173191+0.050269
## [134] train-mlogloss:0.008706+0.000090 test-mlogloss:1.174566+0.050533
## [135] train-mlogloss:0.008663+0.000091 test-mlogloss:1.175821+0.051639
## [136] train-mlogloss:0.008620+0.000087 test-mlogloss:1.176195+0.050816
## [137] train-mlogloss:0.008575+0.000082 test-mlogloss:1.176426+0.051304
## [138] train-mlogloss:0.008536+0.000083 test-mlogloss:1.177266+0.051937
## [139] train-mlogloss:0.008494+0.000084 test-mlogloss:1.176977+0.051839
## [140] train-mlogloss:0.008453+0.000084 test-mlogloss:1.176762+0.051519
## [141] train-mlogloss:0.008410+0.000083 test-mlogloss:1.178537+0.051971
## [142] train-mlogloss:0.008372+0.000079 test-mlogloss:1.178557+0.052360
## [143] train-mlogloss:0.008330+0.000074 test-mlogloss:1.179716+0.051795
## [144] train-mlogloss:0.008290+0.000073 test-mlogloss:1.179828+0.051825
## [145] train-mlogloss:0.008258+0.000072 test-mlogloss:1.180166+0.050569
## [146] train-mlogloss:0.008221+0.000073 test-mlogloss:1.180972+0.050478
## [147] train-mlogloss:0.008187+0.000074 test-mlogloss:1.181875+0.050531
## [148] train-mlogloss:0.008152+0.000071 test-mlogloss:1.182749+0.049901
## [149] train-mlogloss:0.008121+0.000069 test-mlogloss:1.182825+0.049558
## [150] train-mlogloss:0.008085+0.000070 test-mlogloss:1.182890+0.049457
## [151] train-mlogloss:0.008054+0.000068 test-mlogloss:1.183631+0.049264
## [152] train-mlogloss:0.008022+0.000067 test-mlogloss:1.183062+0.048629
## [153] train-mlogloss:0.007990+0.000066 test-mlogloss:1.183762+0.048042
## [154] train-mlogloss:0.007957+0.000060 test-mlogloss:1.184716+0.048774
## [155] train-mlogloss:0.007922+0.000057 test-mlogloss:1.184277+0.048338
## [156] train-mlogloss:0.007889+0.000056 test-mlogloss:1.184904+0.047434
## [157] train-mlogloss:0.007857+0.000055 test-mlogloss:1.185574+0.048030
## [158] train-mlogloss:0.007826+0.000053 test-mlogloss:1.186607+0.048158
## [159] train-mlogloss:0.007794+0.000050 test-mlogloss:1.187458+0.048152
## [160] train-mlogloss:0.007761+0.000049 test-mlogloss:1.188532+0.047958
## [161] train-mlogloss:0.007733+0.000049 test-mlogloss:1.189079+0.047411
## [162] train-mlogloss:0.007703+0.000049 test-mlogloss:1.188971+0.047897
## [163] train-mlogloss:0.007672+0.000046 test-mlogloss:1.189535+0.047217
## [164] train-mlogloss:0.007644+0.000046 test-mlogloss:1.189920+0.046829
## [165] train-mlogloss:0.007615+0.000043 test-mlogloss:1.190731+0.047370
## [166] train-mlogloss:0.007588+0.000044 test-mlogloss:1.191272+0.047577
## [167] train-mlogloss:0.007560+0.000044 test-mlogloss:1.192363+0.047550
## [168] train-mlogloss:0.007532+0.000044 test-mlogloss:1.192076+0.047780
## [169] train-mlogloss:0.007502+0.000043 test-mlogloss:1.192546+0.048811
## [170] train-mlogloss:0.007474+0.000043 test-mlogloss:1.192549+0.048211
## [171] train-mlogloss:0.007447+0.000046 test-mlogloss:1.193514+0.047804
## [172] train-mlogloss:0.007417+0.000048 test-mlogloss:1.193459+0.048220
## [173] train-mlogloss:0.007389+0.000051 test-mlogloss:1.194362+0.047612
## [174] train-mlogloss:0.007364+0.000049 test-mlogloss:1.194588+0.047418
## [175] train-mlogloss:0.007339+0.000048 test-mlogloss:1.194373+0.047201
## [176] train-mlogloss:0.007313+0.000048 test-mlogloss:1.195055+0.047295
## [177] train-mlogloss:0.007288+0.000047 test-mlogloss:1.195404+0.047029
## [178] train-mlogloss:0.007262+0.000047 test-mlogloss:1.195439+0.048700
## [179] train-mlogloss:0.007239+0.000048 test-mlogloss:1.195802+0.048504
## [180] train-mlogloss:0.007216+0.000049 test-mlogloss:1.195215+0.049820
## [181] train-mlogloss:0.007193+0.000048 test-mlogloss:1.195401+0.049587
## [182] train-mlogloss:0.007169+0.000048 test-mlogloss:1.196744+0.049375
## [183] train-mlogloss:0.007146+0.000047 test-mlogloss:1.197599+0.049764
## [184] train-mlogloss:0.007121+0.000048 test-mlogloss:1.198070+0.049720
## [185] train-mlogloss:0.007099+0.000051 test-mlogloss:1.198784+0.049333
## [186] train-mlogloss:0.007078+0.000051 test-mlogloss:1.199231+0.049242
## [187] train-mlogloss:0.007055+0.000053 test-mlogloss:1.198905+0.049201
## [188] train-mlogloss:0.007032+0.000053 test-mlogloss:1.199500+0.048820
## [189] train-mlogloss:0.007007+0.000050 test-mlogloss:1.200152+0.049068
## [190] train-mlogloss:0.006986+0.000047 test-mlogloss:1.200512+0.048416
## [191] train-mlogloss:0.006963+0.000046 test-mlogloss:1.201146+0.048940
## [192] train-mlogloss:0.006940+0.000044 test-mlogloss:1.201378+0.048942
## [193] train-mlogloss:0.006919+0.000045 test-mlogloss:1.202345+0.049020
## [194] train-mlogloss:0.006899+0.000043 test-mlogloss:1.202438+0.049295
## [195] train-mlogloss:0.006880+0.000042 test-mlogloss:1.202591+0.048593
## [196] train-mlogloss:0.006859+0.000041 test-mlogloss:1.203464+0.049243
## [197] train-mlogloss:0.006838+0.000040 test-mlogloss:1.204014+0.049403
## [198] train-mlogloss:0.006815+0.000042 test-mlogloss:1.205360+0.048594
## [199] train-mlogloss:0.006793+0.000041 test-mlogloss:1.206752+0.048902
## [200] train-mlogloss:0.006774+0.000040 test-mlogloss:1.206998+0.049361
## [201] train-mlogloss:0.006751+0.000037 test-mlogloss:1.207367+0.049300
## [202] train-mlogloss:0.006732+0.000037 test-mlogloss:1.208499+0.049424
## [203] train-mlogloss:0.006714+0.000036 test-mlogloss:1.208839+0.049453
## [204] train-mlogloss:0.006695+0.000036 test-mlogloss:1.208548+0.049317
## [205] train-mlogloss:0.006674+0.000034 test-mlogloss:1.209385+0.049081
## [206] train-mlogloss:0.006653+0.000036 test-mlogloss:1.209834+0.049313
## [207] train-mlogloss:0.006636+0.000036 test-mlogloss:1.210167+0.049760
## [208] train-mlogloss:0.006619+0.000036 test-mlogloss:1.211002+0.050185
## [209] train-mlogloss:0.006601+0.000036 test-mlogloss:1.211699+0.049696
## [210] train-mlogloss:0.006581+0.000036 test-mlogloss:1.211780+0.049650
## [211] train-mlogloss:0.006563+0.000035 test-mlogloss:1.212149+0.048318
## [212] train-mlogloss:0.006544+0.000034 test-mlogloss:1.211910+0.049033
## [213] train-mlogloss:0.006522+0.000035 test-mlogloss:1.213401+0.049503
## [214] train-mlogloss:0.006502+0.000035 test-mlogloss:1.212882+0.049092
## [215] train-mlogloss:0.006484+0.000036 test-mlogloss:1.212926+0.049504
## [216] train-mlogloss:0.006467+0.000037 test-mlogloss:1.213777+0.050151
## [217] train-mlogloss:0.006451+0.000039 test-mlogloss:1.213742+0.050766
## [218] train-mlogloss:0.006434+0.000039 test-mlogloss:1.214323+0.050494
## [219] train-mlogloss:0.006417+0.000040 test-mlogloss:1.214759+0.049793
## [220] train-mlogloss:0.006400+0.000040 test-mlogloss:1.215220+0.049597
## [221] train-mlogloss:0.006381+0.000042 test-mlogloss:1.215851+0.049564
## [222] train-mlogloss:0.006363+0.000044 test-mlogloss:1.216628+0.049877
## [223] train-mlogloss:0.006346+0.000044 test-mlogloss:1.217814+0.049529
## [224] train-mlogloss:0.006330+0.000045 test-mlogloss:1.218542+0.049668
## [225] train-mlogloss:0.006314+0.000045 test-mlogloss:1.218300+0.049582
## [226] train-mlogloss:0.006297+0.000044 test-mlogloss:1.219353+0.049186
## [227] train-mlogloss:0.006284+0.000043 test-mlogloss:1.219558+0.049277
## [228] train-mlogloss:0.006267+0.000046 test-mlogloss:1.219491+0.049345
## [229] train-mlogloss:0.006251+0.000044 test-mlogloss:1.219241+0.049329
## [230] train-mlogloss:0.006237+0.000045 test-mlogloss:1.219563+0.049615
## [231] train-mlogloss:0.006222+0.000045 test-mlogloss:1.219479+0.049565
## [232] train-mlogloss:0.006206+0.000046 test-mlogloss:1.219342+0.049529
## [233] train-mlogloss:0.006190+0.000045 test-mlogloss:1.220676+0.050040
## [234] train-mlogloss:0.006175+0.000044 test-mlogloss:1.220629+0.050027
## [235] train-mlogloss:0.006161+0.000043 test-mlogloss:1.221301+0.049957
## [236] train-mlogloss:0.006145+0.000043 test-mlogloss:1.222366+0.049601
## [237] train-mlogloss:0.006130+0.000042 test-mlogloss:1.222478+0.049190
## [238] train-mlogloss:0.006115+0.000043 test-mlogloss:1.222915+0.050033
## [239] train-mlogloss:0.006101+0.000043 test-mlogloss:1.222866+0.049911
## [240] train-mlogloss:0.006084+0.000044 test-mlogloss:1.223843+0.050155
## [241] train-mlogloss:0.006069+0.000043 test-mlogloss:1.224676+0.049551
## [242] train-mlogloss:0.006055+0.000043 test-mlogloss:1.225697+0.049826
## [243] train-mlogloss:0.006041+0.000042 test-mlogloss:1.226509+0.050200
## [244] train-mlogloss:0.006028+0.000041 test-mlogloss:1.226718+0.049901
## [245] train-mlogloss:0.006015+0.000041 test-mlogloss:1.227089+0.049517
## [246] train-mlogloss:0.006001+0.000039 test-mlogloss:1.227591+0.050122
## [247] train-mlogloss:0.005987+0.000038 test-mlogloss:1.227954+0.050714
## [248] train-mlogloss:0.005976+0.000038 test-mlogloss:1.228047+0.050273
## [249] train-mlogloss:0.005962+0.000038 test-mlogloss:1.228575+0.050625
## [250] train-mlogloss:0.005949+0.000039 test-mlogloss:1.229748+0.050811
## [251] train-mlogloss:0.005936+0.000038 test-mlogloss:1.229543+0.051322
## [252] train-mlogloss:0.005920+0.000040 test-mlogloss:1.229854+0.051138
## [253] train-mlogloss:0.005907+0.000039 test-mlogloss:1.230241+0.051137
## [254] train-mlogloss:0.005895+0.000040 test-mlogloss:1.230105+0.050832
## [255] train-mlogloss:0.005882+0.000041 test-mlogloss:1.230167+0.050637
## [256] train-mlogloss:0.005869+0.000041 test-mlogloss:1.230685+0.050966
## [257] train-mlogloss:0.005856+0.000043 test-mlogloss:1.230562+0.051467
## [258] train-mlogloss:0.005843+0.000043 test-mlogloss:1.230551+0.051529
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## [260] train-mlogloss:0.005816+0.000040 test-mlogloss:1.231281+0.050969
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## [263] train-mlogloss:0.005781+0.000040 test-mlogloss:1.232813+0.050612
## [264] train-mlogloss:0.005770+0.000041 test-mlogloss:1.233272+0.051095
## [265] train-mlogloss:0.005757+0.000042 test-mlogloss:1.233866+0.050599
## [266] train-mlogloss:0.005747+0.000041 test-mlogloss:1.233605+0.050905
## [267] train-mlogloss:0.005734+0.000042 test-mlogloss:1.233595+0.051329
## [268] train-mlogloss:0.005722+0.000042 test-mlogloss:1.234088+0.051102
## [269] train-mlogloss:0.005709+0.000042 test-mlogloss:1.234110+0.051325
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## [271] train-mlogloss:0.005684+0.000043 test-mlogloss:1.235226+0.050488
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## [273] train-mlogloss:0.005660+0.000042 test-mlogloss:1.236340+0.051456
## [274] train-mlogloss:0.005648+0.000042 test-mlogloss:1.237078+0.051060
## [275] train-mlogloss:0.005636+0.000041 test-mlogloss:1.236852+0.051184
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## [277] train-mlogloss:0.005611+0.000039 test-mlogloss:1.238085+0.051138
## [278] train-mlogloss:0.005599+0.000039 test-mlogloss:1.237750+0.051293
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## [280] train-mlogloss:0.005575+0.000039 test-mlogloss:1.238765+0.050700
## [281] train-mlogloss:0.005564+0.000039 test-mlogloss:1.239234+0.051081
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## [283] train-mlogloss:0.005542+0.000039 test-mlogloss:1.238897+0.051004
## [284] train-mlogloss:0.005532+0.000040 test-mlogloss:1.239428+0.050917
## [285] train-mlogloss:0.005522+0.000040 test-mlogloss:1.239686+0.050901
## [286] train-mlogloss:0.005512+0.000039 test-mlogloss:1.240127+0.051569
## [287] train-mlogloss:0.005502+0.000042 test-mlogloss:1.240327+0.052026
## [288] train-mlogloss:0.005491+0.000041 test-mlogloss:1.240620+0.052553
## [289] train-mlogloss:0.005480+0.000042 test-mlogloss:1.241043+0.052336
## [290] train-mlogloss:0.005469+0.000041 test-mlogloss:1.241154+0.052182
## [291] train-mlogloss:0.005457+0.000041 test-mlogloss:1.241256+0.052270
## [292] train-mlogloss:0.005446+0.000041 test-mlogloss:1.242056+0.052053
## [293] train-mlogloss:0.005436+0.000041 test-mlogloss:1.242257+0.051624
## [294] train-mlogloss:0.005427+0.000041 test-mlogloss:1.242154+0.052187
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## [296] train-mlogloss:0.005405+0.000039 test-mlogloss:1.243129+0.051804
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## [299] train-mlogloss:0.005375+0.000039 test-mlogloss:1.243534+0.051552
## [300] train-mlogloss:0.005366+0.000040 test-mlogloss:1.244000+0.051375
## [301] train-mlogloss:0.005355+0.000039 test-mlogloss:1.244058+0.052248
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## [305] train-mlogloss:0.005316+0.000039 test-mlogloss:1.244180+0.051945
## [306] train-mlogloss:0.005305+0.000039 test-mlogloss:1.244690+0.052099
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## [308] train-mlogloss:0.005284+0.000037 test-mlogloss:1.245297+0.052027
## [309] train-mlogloss:0.005276+0.000037 test-mlogloss:1.246357+0.052490
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## [311] train-mlogloss:0.005258+0.000036 test-mlogloss:1.246924+0.051695
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## [314] train-mlogloss:0.005231+0.000034 test-mlogloss:1.247872+0.051892
## [315] train-mlogloss:0.005222+0.000033 test-mlogloss:1.247636+0.051964
## [316] train-mlogloss:0.005215+0.000032 test-mlogloss:1.247759+0.052447
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## [319] train-mlogloss:0.005189+0.000031 test-mlogloss:1.248691+0.053081
## [320] train-mlogloss:0.005180+0.000031 test-mlogloss:1.249026+0.052807
## [321] train-mlogloss:0.005171+0.000030 test-mlogloss:1.249664+0.052822
## [322] train-mlogloss:0.005163+0.000029 test-mlogloss:1.249305+0.052214
## [323] train-mlogloss:0.005154+0.000028 test-mlogloss:1.250085+0.052231
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## [325] train-mlogloss:0.005137+0.000028 test-mlogloss:1.249660+0.052471
## [326] train-mlogloss:0.005129+0.000029 test-mlogloss:1.250141+0.052348
## [327] train-mlogloss:0.005120+0.000029 test-mlogloss:1.250091+0.052364
## [328] train-mlogloss:0.005112+0.000029 test-mlogloss:1.250304+0.052689
## [329] train-mlogloss:0.005103+0.000028 test-mlogloss:1.250415+0.052853
## [330] train-mlogloss:0.005094+0.000028 test-mlogloss:1.249934+0.053302
## [331] train-mlogloss:0.005086+0.000028 test-mlogloss:1.250317+0.053290
## [332] train-mlogloss:0.005078+0.000027 test-mlogloss:1.250342+0.053788
## [333] train-mlogloss:0.005069+0.000027 test-mlogloss:1.250820+0.053987
## [334] train-mlogloss:0.005061+0.000025 test-mlogloss:1.251166+0.053765
## [335] train-mlogloss:0.005052+0.000024 test-mlogloss:1.250762+0.053454
## [336] train-mlogloss:0.005045+0.000025 test-mlogloss:1.251234+0.053223
## [337] train-mlogloss:0.005037+0.000024 test-mlogloss:1.251708+0.053573
## [338] train-mlogloss:0.005029+0.000024 test-mlogloss:1.251382+0.053856
## [339] train-mlogloss:0.005022+0.000024 test-mlogloss:1.252160+0.053634
## [340] train-mlogloss:0.005014+0.000024 test-mlogloss:1.252717+0.053211
## [341] train-mlogloss:0.005007+0.000023 test-mlogloss:1.253041+0.052748
## [342] train-mlogloss:0.004998+0.000022 test-mlogloss:1.253229+0.053075
## [343] train-mlogloss:0.004991+0.000023 test-mlogloss:1.253847+0.053393
## [344] train-mlogloss:0.004984+0.000022 test-mlogloss:1.253569+0.053584
## [345] train-mlogloss:0.004977+0.000021 test-mlogloss:1.253702+0.053239
## [346] train-mlogloss:0.004970+0.000021 test-mlogloss:1.253875+0.053103
## [347] train-mlogloss:0.004962+0.000022 test-mlogloss:1.253966+0.053414
## [348] train-mlogloss:0.004955+0.000021 test-mlogloss:1.253807+0.053530
## [349] train-mlogloss:0.004948+0.000022 test-mlogloss:1.254377+0.053080
## [350] train-mlogloss:0.004940+0.000022 test-mlogloss:1.254236+0.053116
## [351] train-mlogloss:0.004932+0.000021 test-mlogloss:1.254735+0.053004
## [352] train-mlogloss:0.004925+0.000020 test-mlogloss:1.254436+0.053607
## [353] train-mlogloss:0.004919+0.000021 test-mlogloss:1.254526+0.053859
## [354] train-mlogloss:0.004912+0.000020 test-mlogloss:1.254907+0.054409
## [355] train-mlogloss:0.004904+0.000020 test-mlogloss:1.255635+0.054031
## [356] train-mlogloss:0.004897+0.000020 test-mlogloss:1.255701+0.054244
## [357] train-mlogloss:0.004890+0.000020 test-mlogloss:1.255313+0.054384
## [358] train-mlogloss:0.004882+0.000019 test-mlogloss:1.255251+0.054969
## [359] train-mlogloss:0.004875+0.000019 test-mlogloss:1.256137+0.054857
## [360] train-mlogloss:0.004868+0.000019 test-mlogloss:1.256635+0.054889
## [361] train-mlogloss:0.004860+0.000019 test-mlogloss:1.256323+0.054823
## [362] train-mlogloss:0.004853+0.000018 test-mlogloss:1.256762+0.055170
## [363] train-mlogloss:0.004847+0.000018 test-mlogloss:1.257462+0.055202
## [364] train-mlogloss:0.004841+0.000018 test-mlogloss:1.258043+0.054765
## [365] train-mlogloss:0.004834+0.000018 test-mlogloss:1.258088+0.054371
## [366] train-mlogloss:0.004828+0.000018 test-mlogloss:1.258276+0.054099
## [367] train-mlogloss:0.004821+0.000018 test-mlogloss:1.258573+0.054626
## [368] train-mlogloss:0.004814+0.000018 test-mlogloss:1.258609+0.054812
## [369] train-mlogloss:0.004808+0.000018 test-mlogloss:1.258852+0.054836
## [370] train-mlogloss:0.004802+0.000018 test-mlogloss:1.259165+0.054726
## [371] train-mlogloss:0.004796+0.000017 test-mlogloss:1.258988+0.055318
## [372] train-mlogloss:0.004790+0.000018 test-mlogloss:1.259255+0.055616
## [373] train-mlogloss:0.004783+0.000018 test-mlogloss:1.259655+0.055435
## [374] train-mlogloss:0.004777+0.000018 test-mlogloss:1.259422+0.055456
## [375] train-mlogloss:0.004771+0.000018 test-mlogloss:1.259277+0.055968
## [376] train-mlogloss:0.004764+0.000018 test-mlogloss:1.259473+0.056292
## [377] train-mlogloss:0.004757+0.000018 test-mlogloss:1.259653+0.056050
## [378] train-mlogloss:0.004750+0.000017 test-mlogloss:1.259967+0.055812
## [379] train-mlogloss:0.004744+0.000018 test-mlogloss:1.259758+0.055048
## [380] train-mlogloss:0.004738+0.000017 test-mlogloss:1.260320+0.054974
## [381] train-mlogloss:0.004731+0.000018 test-mlogloss:1.260399+0.055209
## [382] train-mlogloss:0.004725+0.000018 test-mlogloss:1.260486+0.055217
## [383] train-mlogloss:0.004719+0.000017 test-mlogloss:1.260628+0.055766
## [384] train-mlogloss:0.004713+0.000017 test-mlogloss:1.260633+0.055823
## [385] train-mlogloss:0.004707+0.000017 test-mlogloss:1.261077+0.055971
## [386] train-mlogloss:0.004700+0.000017 test-mlogloss:1.260742+0.055854
## [387] train-mlogloss:0.004694+0.000018 test-mlogloss:1.261446+0.056165
## [388] train-mlogloss:0.004688+0.000017 test-mlogloss:1.261698+0.056488
## [389] train-mlogloss:0.004681+0.000017 test-mlogloss:1.261456+0.057048
## [390] train-mlogloss:0.004676+0.000018 test-mlogloss:1.261644+0.056946
## [391] train-mlogloss:0.004669+0.000017 test-mlogloss:1.261835+0.056459
## [392] train-mlogloss:0.004663+0.000017 test-mlogloss:1.262501+0.056816
## [393] train-mlogloss:0.004658+0.000016 test-mlogloss:1.262634+0.056584
## [394] train-mlogloss:0.004653+0.000016 test-mlogloss:1.262672+0.056624
## [395] train-mlogloss:0.004646+0.000016 test-mlogloss:1.263607+0.056427
## [396] train-mlogloss:0.004640+0.000016 test-mlogloss:1.263469+0.057210
## [397] train-mlogloss:0.004634+0.000015 test-mlogloss:1.263160+0.057128
## [398] train-mlogloss:0.004628+0.000016 test-mlogloss:1.263860+0.057434
## [399] train-mlogloss:0.004622+0.000016 test-mlogloss:1.263276+0.057203
## [400] train-mlogloss:0.004615+0.000016 test-mlogloss:1.263700+0.056844
## [401] train-mlogloss:0.004610+0.000016 test-mlogloss:1.263586+0.056778
## [402] train-mlogloss:0.004604+0.000016 test-mlogloss:1.263868+0.057104
## [403] train-mlogloss:0.004597+0.000016 test-mlogloss:1.264104+0.056696
## [404] train-mlogloss:0.004591+0.000015 test-mlogloss:1.264272+0.056677
## [405] train-mlogloss:0.004586+0.000015 test-mlogloss:1.264330+0.056935
## [406] train-mlogloss:0.004580+0.000015 test-mlogloss:1.264526+0.057126
## [407] train-mlogloss:0.004575+0.000015 test-mlogloss:1.264697+0.057006
## [408] train-mlogloss:0.004570+0.000016 test-mlogloss:1.264741+0.057035
## [409] train-mlogloss:0.004565+0.000016 test-mlogloss:1.265286+0.056533
## [410] train-mlogloss:0.004559+0.000017 test-mlogloss:1.265149+0.056620
## [411] train-mlogloss:0.004553+0.000017 test-mlogloss:1.264713+0.056947
## [412] train-mlogloss:0.004548+0.000017 test-mlogloss:1.264886+0.056155
## [413] train-mlogloss:0.004542+0.000016 test-mlogloss:1.265353+0.055887
## [414] train-mlogloss:0.004537+0.000015 test-mlogloss:1.265086+0.055533
## [415] train-mlogloss:0.004531+0.000016 test-mlogloss:1.265648+0.055682
## [416] train-mlogloss:0.004526+0.000015 test-mlogloss:1.265754+0.055666
## [417] train-mlogloss:0.004520+0.000015 test-mlogloss:1.265963+0.055755
## [418] train-mlogloss:0.004514+0.000014 test-mlogloss:1.266704+0.055919
## [419] train-mlogloss:0.004507+0.000016 test-mlogloss:1.267306+0.056436
## [420] train-mlogloss:0.004503+0.000016 test-mlogloss:1.267751+0.055935
## [421] train-mlogloss:0.004496+0.000015 test-mlogloss:1.267948+0.056035
## [422] train-mlogloss:0.004490+0.000016 test-mlogloss:1.268093+0.055365
## [423] train-mlogloss:0.004484+0.000015 test-mlogloss:1.268754+0.055576
## [424] train-mlogloss:0.004478+0.000015 test-mlogloss:1.268435+0.055203
## [425] train-mlogloss:0.004473+0.000016 test-mlogloss:1.269053+0.055058
## [426] train-mlogloss:0.004468+0.000015 test-mlogloss:1.269575+0.054624
## [427] train-mlogloss:0.004462+0.000015 test-mlogloss:1.269702+0.054747
## [428] train-mlogloss:0.004457+0.000014 test-mlogloss:1.270227+0.054082
## [429] train-mlogloss:0.004451+0.000014 test-mlogloss:1.270465+0.054571
## [430] train-mlogloss:0.004446+0.000014 test-mlogloss:1.270883+0.054520
## [431] train-mlogloss:0.004442+0.000015 test-mlogloss:1.270840+0.054808
## [432] train-mlogloss:0.004436+0.000014 test-mlogloss:1.270687+0.054477
## [433] train-mlogloss:0.004431+0.000014 test-mlogloss:1.271546+0.055210
## [434] train-mlogloss:0.004424+0.000014 test-mlogloss:1.271614+0.054760
## [435] train-mlogloss:0.004420+0.000014 test-mlogloss:1.271595+0.054751
## [436] train-mlogloss:0.004415+0.000014 test-mlogloss:1.272395+0.053972
## [437] train-mlogloss:0.004409+0.000014 test-mlogloss:1.272030+0.054882
## [438] train-mlogloss:0.004403+0.000015 test-mlogloss:1.271914+0.054212
## [439] train-mlogloss:0.004398+0.000015 test-mlogloss:1.271763+0.054277
## [440] train-mlogloss:0.004393+0.000015 test-mlogloss:1.271868+0.053994
## [441] train-mlogloss:0.004389+0.000016 test-mlogloss:1.271786+0.054068
## [442] train-mlogloss:0.004384+0.000015 test-mlogloss:1.272118+0.054210
## [443] train-mlogloss:0.004379+0.000016 test-mlogloss:1.271995+0.055010
## [444] train-mlogloss:0.004374+0.000015 test-mlogloss:1.272279+0.054511
## [445] train-mlogloss:0.004368+0.000016 test-mlogloss:1.272453+0.054596
## [446] train-mlogloss:0.004363+0.000016 test-mlogloss:1.272791+0.054802
## [447] train-mlogloss:0.004359+0.000017 test-mlogloss:1.272847+0.055199
## [448] train-mlogloss:0.004354+0.000017 test-mlogloss:1.272737+0.054554
## [449] train-mlogloss:0.004349+0.000017 test-mlogloss:1.272785+0.054683
## [450] train-mlogloss:0.004345+0.000017 test-mlogloss:1.273180+0.054785
## [451] train-mlogloss:0.004340+0.000016 test-mlogloss:1.273234+0.054817
## [452] train-mlogloss:0.004336+0.000017 test-mlogloss:1.273841+0.054542
## [453] train-mlogloss:0.004331+0.000017 test-mlogloss:1.274016+0.054527
## [454] train-mlogloss:0.004326+0.000017 test-mlogloss:1.274555+0.054773
## [455] train-mlogloss:0.004321+0.000017 test-mlogloss:1.274899+0.054742
## [456] train-mlogloss:0.004317+0.000017 test-mlogloss:1.274898+0.054620
## [457] train-mlogloss:0.004312+0.000017 test-mlogloss:1.274803+0.054324
## [458] train-mlogloss:0.004307+0.000017 test-mlogloss:1.275358+0.054682
## [459] train-mlogloss:0.004303+0.000017 test-mlogloss:1.274902+0.054254
## [460] train-mlogloss:0.004298+0.000016 test-mlogloss:1.275176+0.053573
## [461] train-mlogloss:0.004293+0.000016 test-mlogloss:1.275086+0.053874
## [462] train-mlogloss:0.004288+0.000016 test-mlogloss:1.275398+0.053964
## [463] train-mlogloss:0.004283+0.000016 test-mlogloss:1.275416+0.053610
## [464] train-mlogloss:0.004279+0.000017 test-mlogloss:1.275856+0.053893
## [465] train-mlogloss:0.004274+0.000017 test-mlogloss:1.276174+0.053899
## [466] train-mlogloss:0.004269+0.000018 test-mlogloss:1.276427+0.053470
## [467] train-mlogloss:0.004265+0.000019 test-mlogloss:1.276327+0.053605
## [468] train-mlogloss:0.004260+0.000020 test-mlogloss:1.276507+0.053496
## [469] train-mlogloss:0.004256+0.000020 test-mlogloss:1.277154+0.053371
## [470] train-mlogloss:0.004252+0.000020 test-mlogloss:1.277567+0.054011
## [471] train-mlogloss:0.004248+0.000020 test-mlogloss:1.277656+0.053895
## [472] train-mlogloss:0.004244+0.000020 test-mlogloss:1.277612+0.054346
## [473] train-mlogloss:0.004239+0.000019 test-mlogloss:1.278010+0.054098
## [474] train-mlogloss:0.004235+0.000019 test-mlogloss:1.278253+0.054187
## [475] train-mlogloss:0.004231+0.000019 test-mlogloss:1.278395+0.054169
## [476] train-mlogloss:0.004227+0.000019 test-mlogloss:1.278410+0.054355
## [477] train-mlogloss:0.004222+0.000019 test-mlogloss:1.278094+0.054058
## [478] train-mlogloss:0.004218+0.000019 test-mlogloss:1.278199+0.054113
## [479] train-mlogloss:0.004214+0.000020 test-mlogloss:1.278331+0.054005
## [480] train-mlogloss:0.004210+0.000020 test-mlogloss:1.278862+0.053816
## [481] train-mlogloss:0.004205+0.000020 test-mlogloss:1.279010+0.054545
## [482] train-mlogloss:0.004201+0.000020 test-mlogloss:1.278967+0.053884
## [483] train-mlogloss:0.004198+0.000021 test-mlogloss:1.278917+0.054393
## [484] train-mlogloss:0.004194+0.000021 test-mlogloss:1.279190+0.054215
## [485] train-mlogloss:0.004190+0.000021 test-mlogloss:1.279804+0.054515
## [486] train-mlogloss:0.004185+0.000021 test-mlogloss:1.280069+0.054247
## [487] train-mlogloss:0.004182+0.000020 test-mlogloss:1.279746+0.053810
## [488] train-mlogloss:0.004178+0.000020 test-mlogloss:1.279960+0.054052
## [489] train-mlogloss:0.004173+0.000021 test-mlogloss:1.279630+0.054274
## [490] train-mlogloss:0.004169+0.000021 test-mlogloss:1.280520+0.053803
## [491] train-mlogloss:0.004165+0.000022 test-mlogloss:1.280539+0.054305
## [492] train-mlogloss:0.004161+0.000022 test-mlogloss:1.280580+0.054197
## [493] train-mlogloss:0.004157+0.000022 test-mlogloss:1.281117+0.054300
## [494] train-mlogloss:0.004153+0.000022 test-mlogloss:1.281505+0.054286
## [495] train-mlogloss:0.004150+0.000022 test-mlogloss:1.281407+0.054442
## [496] train-mlogloss:0.004146+0.000023 test-mlogloss:1.282135+0.054139
## [497] train-mlogloss:0.004143+0.000023 test-mlogloss:1.281786+0.053737
## [498] train-mlogloss:0.004139+0.000023 test-mlogloss:1.282083+0.054357
## [499] train-mlogloss:0.004136+0.000023 test-mlogloss:1.282199+0.054077
## [500] train-mlogloss:0.004131+0.000023 test-mlogloss:1.282330+0.054172xgboost_set %>% arrange(mlogloss) %>% head(10)找到最優參數，定義為： nrounds = 29, eta=0.3, min_child_weight=5, max_depth=10,subsample=0.8, colsample_bytree=0.8
model <- xgboost(data = train_Matrix,
nrounds = 29,
eta=0.3,
min_child_weight=5,
max_depth=10,
subsample=0.8,
colsample_bytree=0.8,
objective = "multi:softmax",
eval_metric = "mlogloss",
"num_class" = 2) ## [1] train-mlogloss:0.591532
## [2] train-mlogloss:0.529485
## [3] train-mlogloss:0.487670
## [4] train-mlogloss:0.454790
## [5] train-mlogloss:0.428293
## [6] train-mlogloss:0.407835
## [7] train-mlogloss:0.392772
## [8] train-mlogloss:0.379829
## [9] train-mlogloss:0.368845
## [10] train-mlogloss:0.362102
## [11] train-mlogloss:0.356782
## [12] train-mlogloss:0.350035
## [13] train-mlogloss:0.343471
## [14] train-mlogloss:0.337395
## [15] train-mlogloss:0.333501
## [16] train-mlogloss:0.328199
## [17] train-mlogloss:0.322810
## [18] train-mlogloss:0.318406
## [19] train-mlogloss:0.315217
## [20] train-mlogloss:0.309130
## [21] train-mlogloss:0.302613
## [22] train-mlogloss:0.294869
## [23] train-mlogloss:0.293620
## [24] train-mlogloss:0.291304
## [25] train-mlogloss:0.281953
## [26] train-mlogloss:0.278146
## [27] train-mlogloss:0.273423
## [28] train-mlogloss:0.269031
## [29] train-mlogloss:0.266804混淆矩陣： train：0.9405852 test：0.6988608 competition：0.75
train_predict = predict(model, newdata = train_Matrix)
train_cf =table(real=trainy ,predict=train_predict)
sum(diag(train_cf))/sum(train_cf)## [1] 0.9354962test_predict = predict(model, newdata = test_Matrix)
test_cf=table(real=testy ,predict=test_predict)
sum(diag(test_cf))/sum(test_cf)## [1] 0.7018326predict = predict(model, newdata = competition_Matrix)
confuse.Matrix=table(real=competitiony ,predict=predict)
sum(diag(confuse.Matrix))/sum(confuse.Matrix)## [1] 0.25查看XGBOOST的importance欄位
importance <- xgb.importance(feature_names = NULL, model = model)
head(importance)